From 42c6718cb017dfed5d867af057c8e90827c5fb5e Mon Sep 17 00:00:00 2001 From: kimzerovirus <68390715+kimzerovirus@users.noreply.github.com> Date: Tue, 25 Jan 2022 17:32:01 +0900 Subject: [PATCH 001/135] Add Korean translation for data-structures Hash Table & Heap (#843) * Create README.ko-KR.md * Create README.ko-KR.md * Update README.ko-KR.md * Update README.ko-KR.md * Update README.ko-KR.md * Update README.ko-KR.md --- src/data-structures/hash-table/README.ko-KR.md | 12 ++++++++++++ src/data-structures/heap/README.ko-KR.md | 13 +++++++++++++ 2 files changed, 25 insertions(+) create mode 100644 src/data-structures/hash-table/README.ko-KR.md create mode 100644 src/data-structures/heap/README.ko-KR.md diff --git a/src/data-structures/hash-table/README.ko-KR.md b/src/data-structures/hash-table/README.ko-KR.md new file mode 100644 index 0000000000..1ffc9f5534 --- /dev/null +++ b/src/data-structures/hash-table/README.ko-KR.md @@ -0,0 +1,12 @@ +# 해시 테이블 + +컴퓨터 과학에서 **해시 테이블** (해시맵)은 키를 값에 매핑할 수 있는 *연관배열(associative array)* 기능을 가진 데이터 구조입니다. 해시 테이블은 해시함수를 사용해 버킷이나 슬롯 배열에 대한 인덱스를 계산하고 원하는 값을 찾을 수 있습니다. (사실상 해시함수에서 배열은 bucket 또는 slot으로 부릅니다.) +따라서 해시테이블은 특정 키에 값을 매핑 시킨 형태의 자료구조로 키값에 매핑된 값을 검색 할 때 매우 유용합니다. 이때 해시함수는 찾고자 하는 키가 버킷 또는 슬롯의 몇 번째 인덱스에 해당하는지를 확인할 때 사용합니다. + +이상적으로는 해시함수는 각 키를 하나의 버킷에 할당하지만 대부분의 해시 테이블은 불완전한 해시함수를 채택하고 있기 때문에 복수의 키에 대해 같은 인덱스를 생성했을 때 해시의 충돌이 발생합니다. 이러한 충돌은 어떤 방법으로든 대처할 필요가 있습니다. + +![Hash Table](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) + +체이닝에 따른 해시충돌(Hash Collision)의 해결법 + +![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) diff --git a/src/data-structures/heap/README.ko-KR.md b/src/data-structures/heap/README.ko-KR.md new file mode 100644 index 0000000000..1f8c4932e4 --- /dev/null +++ b/src/data-structures/heap/README.ko-KR.md @@ -0,0 +1,13 @@ +# 힙 (자료구조) + +컴퓨터 사이언스에서 힙은 특수한 트리구조의 데이터 구조로 다음과 같은 특성을 갖고 있습니다. + + *최소 힙* 에서는 만약 `P`가 `C`의 부모노드일 경우, `P` 키(값)는 `C` 키보다 작거나 동일합니다. + +![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) + + - *최대 힙* 에서 `P` 키는 `C` 키보다 크거나 동일합니다. + +![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) + + - 힙의 "최상단" 노드에는 부모노드가 존재하지 않으며, 루트노드라고 부릅니다. From 6d8195154aa93e4d25798b6af43afda31a5d1b6c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=84=BF=E6=97=B6?= <58261676+childrentime@users.noreply.github.com> Date: Tue, 25 Jan 2022 16:34:17 +0800 Subject: [PATCH 002/135] Add Chinise Translation (#842) --- src/algorithms/sorting/quick-sort/README.md | 4 +++ .../sorting/quick-sort/README.zh-CN.md | 27 +++++++++++++++++++ 2 files changed, 31 insertions(+) create mode 100644 src/algorithms/sorting/quick-sort/README.zh-CN.md diff --git a/src/algorithms/sorting/quick-sort/README.md b/src/algorithms/sorting/quick-sort/README.md index 88c768aa37..21c6391989 100644 --- a/src/algorithms/sorting/quick-sort/README.md +++ b/src/algorithms/sorting/quick-sort/README.md @@ -1,5 +1,9 @@ # Quicksort +_Read this in other languages:_ +[_简体中文_](README.zh-CN.md) + + Quicksort is a divide and conquer algorithm. Quicksort first divides a large array into two smaller sub-arrays: the low elements and the high elements. diff --git a/src/algorithms/sorting/quick-sort/README.zh-CN.md b/src/algorithms/sorting/quick-sort/README.zh-CN.md new file mode 100644 index 0000000000..96b2e44de8 --- /dev/null +++ b/src/algorithms/sorting/quick-sort/README.zh-CN.md @@ -0,0 +1,27 @@ +# 快速排序 + +快速排序是一种分而治之的算法。快速排序首先将一个大数组分成两个较小的子数组：比某个数小的元素和比某个数大的元素。然后快速排序可以递归地对子数组进行排序。 + +步骤是： + +1. 从数组中选择一个元素，称为基点 + +2. 分区：对数组重新排序，使所有值小于基点的元素都在它左边，而所有值大于基点的元素都在它右边（相等的值可以放在任何一边）。在此分区之后，基点处于其最终位置（左边和右边的中间位置）。这称为分区操作。 + +3. 递归地将上述步骤应用于左边的数组和右边的数组。 + +快速排序算法的动画可视化。水平线是基点值。 + +![Quicksort](https://upload.wikimedia.org/wikipedia/commons/6/6a/Sorting_quicksort_anim.gif) + +## 复杂度 + +| Name | Best | Average | Worst | Memory | Stable | Comments | +| -------------- | :-----------: | :-----------: | :-----------: | :----: | :----: | :------------------------------------------------------------ | +| **Quick sort** | n log(n) | n log(n) | n2 | log(n) | No | Quicksort is usually done in-place with O(log(n)) stack space | + +## 引用 + +- [Wikipedia](https://en.wikipedia.org/wiki/Quicksort) + +- [YouTube](https://www.youtube.com/watch?v=SLauY6PpjW4&index=28&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) From cc26b93f31717c10c1af017eaffbdb6ca41d8d20 Mon Sep 17 00:00:00 2001 From: kyong4 <60618382+kyong4@users.noreply.github.com> Date: Tue, 25 Jan 2022 03:36:45 -0500 Subject: [PATCH 003/135] Grammar change and "Block " to "Jump" (#780) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Grammar change and "Block " to "Jump" ジャンプ is jump in katakana * Update README.ja-JP.md * Update README.ja-JP.md --- README.ja-JP.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.ja-JP.md b/README.ja-JP.md index 44b6b6c13e..c90fa3e7e2 100644 --- a/README.ja-JP.md +++ b/README.ja-JP.md @@ -7,7 +7,7 @@ 各アルゴリズムとデータ構造には独自のREADMEがあります。 -関連する説明と、さらに読むためのリンク (関連YouTubeのビデオ)も含まれています。 +関連する説明、そして参考資料 (YouTube動画)も含まれています。 _Read this in other languages:_ [_English_](https://github.com/trekhleb/javascript-algorithms/), @@ -100,7 +100,7 @@ _Read this in other languages:_ * `A` [正規表現マッチング](src/algorithms/string/regular-expression-matching) * **検索** * `B` [リニアサーチ](src/algorithms/search/linear-search) - * `B` [ジャンプ検索](src/algorithms/search/jump-search) (or Block Search) - ソートされた配列で検索 + * `B` [ジャンプ検索](src/algorithms/search/jump-search) (Jump Search) - ソートされた配列で検索 * `B` [バイナリ検索](src/algorithms/search/binary-search) - ソートされた配列で検索 * `B` [補間探索](src/algorithms/search/interpolation-search) - 一様分布のソート配列で検索する * **並べ替え** From 40c54d8354508b09a12904ee8a696018a6977d25 Mon Sep 17 00:00:00 2001 From: Suman kumar <80208204+Suman-kumar23@users.noreply.github.com> Date: Tue, 25 Jan 2022 14:07:30 +0530 Subject: [PATCH 004/135] Updating a typo in " Get bit" section (#777) typo- ADD-> AND operation From ae915372d91dd41352984f37b1d743966c95f2ab Mon Sep 17 00:00:00 2001 From: OscarRG <80918302+OscarRG@users.noreply.github.com> Date: Tue, 25 Jan 2022 09:39:11 +0100 Subject: [PATCH 005/135] fix typos (#773) --- src/data-structures/doubly-linked-list/README.es-ES.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/data-structures/doubly-linked-list/README.es-ES.md b/src/data-structures/doubly-linked-list/README.es-ES.md index 0736d499ac..15a623550f 100644 --- a/src/data-structures/doubly-linked-list/README.es-ES.md +++ b/src/data-structures/doubly-linked-list/README.es-ES.md @@ -7,11 +7,11 @@ _Lea esto en otros idiomas:_ [_Português_](README.pt-BR.md) [_한국어_](README.ko-KR.md) -En informática, una **lista doblemente enlazada** es una estructura de datos enlazados que consta de un conjunto de registros enlazados secuencialmente llamados nodos. Cada nodo contiene dos campos, llamados enlaces, que son referencias al nodo anterior y al siguiente en la secuencia de nodos. Los enlaces anterior y siguiente de los nodos inicial y final, respectivamente, apuntan a algún tipo de terminador, normalmente un nodo centinela o nulo, para facilitar el recorrido de la lista. Si solo hay un ganglio centinela, la lista se enlaza circularmente a través del ganglio centinela. Puede conceptualizarse como dos listas enlazadas individualmente formadas a partir de los mismos elementos de datos, pero en órdenes secuenciales opuestos. +En informática, una **lista doblemente enlazada** es una estructura de datos relacionados que consta de un conjunto de registros conectados secuencialmente llamados nodos. Cada nodo contiene dos campos, llamados enlaces, que son referencias al nodo anterior y al siguiente en la secuencia de nodos. Los enlaces anterior y siguiente de los nodos inicial y final, apuntan respectivamente a algún tipo de terminador (normalmente un nodo centinela o nulo), facilitando así el recorrido de la lista. Si solo hay un nodo nulo, la lista se enlaza circularmente a través este. Puede conceptualizarse como dos listas enlazadas individualmente formadas a partir de los mismos elementos de datos, pero en órdenes secuenciales opuestos. ![Lista doblemente enlazada](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) -Los dos enlaces de nodo permiten recorrer la lista en cualquier dirección. Si bien agregar o eliminar un nodo en una lista doblemente enlazada requiere cambiar más enlaces que las mismas operaciones en una lista enlazada individualmente, las operaciones son más simples y potencialmente más eficientes (para nodos que no sean los primeros) porque no hay necesidad de realizar un seguimiento de el nodo anterior durante el recorrido o no es necesario recorrer la lista para encontrar el nodo anterior, de modo que se pueda modificar su enlace. +Los dos enlaces de un nodo permiten recorrer la lista en cualquier dirección. Si bien agregar o eliminar un nodo en una lista doblemente enlazada requiere cambiar más enlaces que las mismas operaciones en una lista enlazada individualmente, las operaciones son más simples y potencialmente más eficientes (para nodos que no sean los primeros) porque no hay necesidad de realizar un seguimiento del nodo anterior durante el recorrido o no es necesario recorrer la lista para encontrar el nodo anterior, de modo que se pueda modificar su enlace. ## Pseudocódigo para operaciones básicas @@ -88,9 +88,9 @@ end Reverse Traversal ## Complejidad del Tiempo -| Acceso | Busqueda | Inserción | Supresión | -| :-------: | :-------: | :-------: | :-------: | -| O(n) | O(n) | O(1) | O(n) | +| Acceso | Búsqueda | Inserción | Eliminación | +| :----: | :------: | :-------: | :---------: | +| O(n) | O(n) | O(1) | O(n) | ### Complejidad del Espacio From 5dc17089bcadce02d33c8fdf29fea9474e3933d4 Mon Sep 17 00:00:00 2001 From: Bravo Yeung Date: Tue, 25 Jan 2022 17:02:35 +0800 Subject: [PATCH 006/135] Correct inaccurate Chinese translation. (#768) --- README.zh-CN.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.zh-CN.md b/README.zh-CN.md index 8bf216d6bd..c8d419bc16 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -175,7 +175,7 @@ _Read this in other languages:_ * `B` [快速算次方](src/algorithms/math/fast-powering) * `A` [排列](src/algorithms/sets/permutations) (有/无重复) * `A` [组合](src/algorithms/sets/combinations) (有/无重复) -* **动态编程** - 使用以前找到的子解决方案构建解决方案 +* **动态规划(Dynamic programming)** - 使用以前找到的子解决方案构建解决方案 * `B` [斐波那契数](src/algorithms/math/fibonacci) * `B` [跳跃游戏](src/algorithms/uncategorized/jump-game) * `B` [独特路径](src/algorithms/uncategorized/unique-paths) From c29b12ee3b5d6bb8353cbb5207dd1e7ad19bf9a8 Mon Sep 17 00:00:00 2001 From: OscarRG <80918302+OscarRG@users.noreply.github.com> Date: Tue, 25 Jan 2022 10:03:19 +0100 Subject: [PATCH 007/135] fix typos (#771) --- src/data-structures/linked-list/README.es-ES.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/src/data-structures/linked-list/README.es-ES.md b/src/data-structures/linked-list/README.es-ES.md index 3e49e88e91..e117f718c3 100644 --- a/src/data-structures/linked-list/README.es-ES.md +++ b/src/data-structures/linked-list/README.es-ES.md @@ -1,6 +1,6 @@ # Lista Enlazada (Linked List) -_Lee esto en otros idiomas:_ +_Lee este artículo en otros idiomas:_ [_简体中文_](README.zh-CN.md), [_Русский_](README.ru-RU.md), [_日本語_](README.ja-JP.md), @@ -12,17 +12,17 @@ de elementos de datos, en los cuales el orden linear no es dado por su posción física en memoria. En cambio, cada elemento señala al siguiente. Es una estructura de datos que consiste en un grupo de nodos los cuales juntos representan -una secuencia. Bajo la forma más simple, cada nodo es +una secuencia. Bajo la forma más simple, cada nodo esta compuesto de datos y una referencia (en otras palabras, un lazo) al siguiente nodo en la secuencia. Esta estructura permite la inserción o remoción de elementos desde cualquier posición en la secuencia durante la iteración. Variantes más complejas agregan lazos adicionales, permitiendo una eficiente inserción o remoción desde referencias arbitrarias -del elemento. Una desventaja de las listas lazadas es que el tiempo de +del elemento. Una desventaja de las listas enlazadas es que el tiempo de acceso es linear (y difícil de canalizar). Un acceso -más rápido, como un acceso aleatorio, no es factible. Los arreglos -tienen una mejor locazion comparados con las listas lazadas. +más rápido, como el aleatorio, no es factible. Los arreglos +tienen una mejor locazion comparados con las listas enlazadas. ![Linked List](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) @@ -149,7 +149,7 @@ end ReverseTraversal ### Complejidad del Tiempo -| Access | Search | Insertion | Deletion | +| Acceso | Búsqueda | Inserción | Eliminación | | :----: | :----: | :-------: | :------: | | O(n) | O(n) | O(1) | O(n) | From 5a83ecc00dc8f9daaac417bf4805ba5509e48ffb Mon Sep 17 00:00:00 2001 From: Anton Kazarinov Date: Tue, 25 Jan 2022 12:04:32 +0300 Subject: [PATCH 008/135] fixed spelling error for hash-table (ru) (#775) --- src/data-structures/hash-table/README.ru-RU.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/hash-table/README.ru-RU.md b/src/data-structures/hash-table/README.ru-RU.md index d5487cb900..1b829049ab 100644 --- a/src/data-structures/hash-table/README.ru-RU.md +++ b/src/data-structures/hash-table/README.ru-RU.md @@ -2,7 +2,7 @@ **Хеш-таблица** - структура данных, реализующая абстрактный тип данных *ассоциативный массив*, т.е. структура, которая *связывает ключи со значениями*. Хеш-таблица использует *хеш-функцию* для вычисления индекса в массиве, в котором может -быть найдено желаемое значение. Ниже представлена хеш-таблица, в которой ключём выступает имя человека, а значениями +быть найдено желаемое значение. Ниже представлена хеш-таблица, в которой ключом выступает имя человека, а значениями являются телефонные номера. Хеш-функция преобразует ключ-имя в индекс массива с телефонными номерами. ![Хеш-таблица](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) From d11f7fadd68b30785e591569ccaa308a813b18dd Mon Sep 17 00:00:00 2001 From: Sewook Han Date: Wed, 26 Jan 2022 01:48:56 +0900 Subject: [PATCH 009/135] Add Korean translation (#767) Co-authored-by: Oleksii Trekhleb --- .../hash-table/README.ko-KR.md | 21 ++++++++++++++----- src/data-structures/hash-table/README.md | 4 ++-- 2 files changed, 18 insertions(+), 7 deletions(-) diff --git a/src/data-structures/hash-table/README.ko-KR.md b/src/data-structures/hash-table/README.ko-KR.md index 1ffc9f5534..0b847df5ca 100644 --- a/src/data-structures/hash-table/README.ko-KR.md +++ b/src/data-structures/hash-table/README.ko-KR.md @@ -1,12 +1,23 @@ -# 해시 테이블 +# Hash Table -컴퓨터 과학에서 **해시 테이블** (해시맵)은 키를 값에 매핑할 수 있는 *연관배열(associative array)* 기능을 가진 데이터 구조입니다. 해시 테이블은 해시함수를 사용해 버킷이나 슬롯 배열에 대한 인덱스를 계산하고 원하는 값을 찾을 수 있습니다. (사실상 해시함수에서 배열은 bucket 또는 slot으로 부릅니다.) -따라서 해시테이블은 특정 키에 값을 매핑 시킨 형태의 자료구조로 키값에 매핑된 값을 검색 할 때 매우 유용합니다. 이때 해시함수는 찾고자 하는 키가 버킷 또는 슬롯의 몇 번째 인덱스에 해당하는지를 확인할 때 사용합니다. +_Read this in other languages:_ +[_简体中文_](README.zh-CN.md), +[_Русский_](README.ru-RU.md), +[_日本語_](README.ja-JP.md), +[_Français_](README.fr-FR.md), +[_Português_](README.pt-BR.md) -이상적으로는 해시함수는 각 키를 하나의 버킷에 할당하지만 대부분의 해시 테이블은 불완전한 해시함수를 채택하고 있기 때문에 복수의 키에 대해 같은 인덱스를 생성했을 때 해시의 충돌이 발생합니다. 이러한 충돌은 어떤 방법으로든 대처할 필요가 있습니다. +컴퓨팅에서, **해시 테이블**(해시 맵)은 키를 값에 매핑할 수 있는 구조인 *연관 배열*을 구현하는 자료 구조입니다. 해시 테이블은 *해시 함수*를 사용해 원하는 값을 담을 수 있는 버킷 또는 슬롯 배열의 인덱스를 계산합니다. + +이상적으로, 해시 함수는 각 키들을 고유 버킷에 할당하지만 대부분의 해시 테이블은 불완전한 해시 함수를 사용하기 때문에 해시 함수를 통해 두 개 이상의 키에 대해 동일한 인덱스를 생성하는 해시 충돌이 발생할 수 있습니다. 이러한 해시 충돌은 어떠한 방법으로든 해결되어야 합니다. ![Hash Table](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) -체이닝에 따른 해시충돌(Hash Collision)의 해결법 +다음은 분리 연결법을 통해 해시 충돌을 해결한 예시입니다. ![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) + +## 참고 + +- [Wikipedia](https://en.wikipedia.org/wiki/Hash_table) +- [YouTube](https://www.youtube.com/watch?v=shs0KM3wKv8&index=4&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) \ No newline at end of file diff --git a/src/data-structures/hash-table/README.md b/src/data-structures/hash-table/README.md index 37d20a6199..df199257e7 100644 --- a/src/data-structures/hash-table/README.md +++ b/src/data-structures/hash-table/README.md @@ -5,8 +5,8 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), -[_Português_](README.pt-BR.md) - +[_Português_](README.pt-BR.md), [_한국어_](README.ko-KR.md) + In computing, a **hash table** (hash map) is a data structure which implements an *associative array* abstract data type, a structure that can *map keys From d0c359e990d9f5ed5775a1dcc324c9e9529e1496 Mon Sep 17 00:00:00 2001 From: Sewook Han Date: Wed, 26 Jan 2022 01:54:01 +0900 Subject: [PATCH 010/135] Add Korean translation (#752) * Add Korean translation * Add link to Korean translation in Queue README. --- src/data-structures/queue/README.ko-KR.md | 21 +++++++++++++++++++++ src/data-structures/queue/README.md | 2 +- 2 files changed, 22 insertions(+), 1 deletion(-) create mode 100644 src/data-structures/queue/README.ko-KR.md diff --git a/src/data-structures/queue/README.ko-KR.md b/src/data-structures/queue/README.ko-KR.md new file mode 100644 index 0000000000..204f6b9b84 --- /dev/null +++ b/src/data-structures/queue/README.ko-KR.md @@ -0,0 +1,21 @@ +# Queue + +_Read this in other languages:_ +[_简体中文_](README.zh-CN.md), +[_Русский_](README.ru-RU.md), +[_日本語_](README.ja-JP.md), +[_Français_](README.fr-FR.md), +[_Português_](README.pt-BR.md) + +컴퓨터 공학에서 **큐**는 일종의 추상 데이터 타입이자 컬렉션입니다. 큐 내부의 엔터티들은 순서를 유지하며 컬렉션의 가장 뒷 부분에 엔터티를 추가하는 인큐(enqueue), 컬렉션의 가장 앞에 위치한 엔터티를 제거하는 디큐(dequeue) 작업을 수행합니다. 이것은 큐를 선입선출 자료 구조로 만듭니다. 선입선출 자료 구조에서는, 추가된 첫 번째 요소가 가장 먼저 제거되는 요소가 됩니다. 이는 새로운 요소가 추가되면 이전에 추가되었던 모든 요소들을 제거해야 새로운 요소를 제거할 수 있다는것과 같은 의미입니다. 또한 큐의 가장 앞에 위치한 요소를 반환하기 위한 작업이 입력되면 디큐 작업 없이 해당 요소를 반환합니다. + +큐는 선형 자료 구조의 예시이며, 더 추상적으로는 순차적인 컬렉션입니다. + +선입선출 자료 구조인 큐를 나타내면 다음과 같습니다. + +![Queue](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) + +## 참고 + +- [Wikipedia](https://en.wikipedia.org/wiki/Queue_(abstract_data_type)) +- [YouTube](https://www.youtube.com/watch?v=wjI1WNcIntg&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8&index=3&) diff --git a/src/data-structures/queue/README.md b/src/data-structures/queue/README.md index e6c9bc2d23..86046d8fe4 100644 --- a/src/data-structures/queue/README.md +++ b/src/data-structures/queue/README.md @@ -5,7 +5,7 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), -[_Português_](README.pt-BR.md) +[_Português_](README.pt-BR.md), [_한국어_](README.ko-KR.md) In computer science, a **queue** is a particular kind of abstract data type or collection in which the entities in the collection are From 5b64117a2c60979bf0e407165848c591f2702bb0 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Tue, 25 Jan 2022 17:56:34 +0100 Subject: [PATCH 011/135] Fex READMEs. --- src/data-structures/hash-table/README.md | 21 ++++++++-------- src/data-structures/heap/README.md | 7 +++--- src/data-structures/queue/README.md | 31 ++++++++++++------------ 3 files changed, 31 insertions(+), 28 deletions(-) diff --git a/src/data-structures/hash-table/README.md b/src/data-structures/hash-table/README.md index df199257e7..3aec51b5c2 100644 --- a/src/data-structures/hash-table/README.md +++ b/src/data-structures/hash-table/README.md @@ -5,18 +5,19 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), -[_Português_](README.pt-BR.md), [_한국어_](README.ko-KR.md) - -In computing, a **hash table** (hash map) is a data -structure which implements an *associative array* -abstract data type, a structure that can *map keys -to values*. A hash table uses a *hash function* to -compute an index into an array of buckets or slots, +[_Português_](README.pt-BR.md), +[_한국어_](README.ko-KR.md) + +In computing, a **hash table** (hash map) is a data +structure which implements an *associative array* +abstract data type, a structure that can *map keys +to values*. A hash table uses a *hash function* to +compute an index into an array of buckets or slots, from which the desired value can be found -Ideally, the hash function will assign each key to a -unique bucket, but most hash table designs employ an -imperfect hash function, which might cause hash +Ideally, the hash function will assign each key to a +unique bucket, but most hash table designs employ an +imperfect hash function, which might cause hash collisions where the hash function generates the same index for more than one key. Such collisions must be accommodated in some way. diff --git a/src/data-structures/heap/README.md b/src/data-structures/heap/README.md index cbd7f12ef8..2610a9ff4a 100644 --- a/src/data-structures/heap/README.md +++ b/src/data-structures/heap/README.md @@ -6,9 +6,10 @@ _Read this in other languages:_ [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md), -[_Türkçe_](README.tr-TR.md) +[_Türkçe_](README.tr-TR.md), +[_한국어_](README.ko-KR.md) -In computer science, a **heap** is a specialized tree-based +In computer science, a **heap** is a specialized tree-based data structure that satisfies the heap property described below. @@ -23,7 +24,7 @@ to the key of `C` ![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) -The node at the "top" of the heap with no parents is +The node at the "top" of the heap with no parents is called the root node. ## References diff --git a/src/data-structures/queue/README.md b/src/data-structures/queue/README.md index 86046d8fe4..4db98224a1 100644 --- a/src/data-structures/queue/README.md +++ b/src/data-structures/queue/README.md @@ -5,22 +5,23 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), -[_Português_](README.pt-BR.md), [_한국어_](README.ko-KR.md) +[_Português_](README.pt-BR.md), +[_한국어_](README.ko-KR.md) -In computer science, a **queue** is a particular kind of abstract data -type or collection in which the entities in the collection are -kept in order and the principle (or only) operations on the -collection are the addition of entities to the rear terminal -position, known as enqueue, and removal of entities from the -front terminal position, known as dequeue. This makes the queue -a First-In-First-Out (FIFO) data structure. In a FIFO data -structure, the first element added to the queue will be the -first one to be removed. This is equivalent to the requirement -that once a new element is added, all elements that were added -before have to be removed before the new element can be removed. -Often a peek or front operation is also entered, returning the -value of the front element without dequeuing it. A queue is an -example of a linear data structure, or more abstractly a +In computer science, a **queue** is a particular kind of abstract data +type or collection in which the entities in the collection are +kept in order and the principle (or only) operations on the +collection are the addition of entities to the rear terminal +position, known as enqueue, and removal of entities from the +front terminal position, known as dequeue. This makes the queue +a First-In-First-Out (FIFO) data structure. In a FIFO data +structure, the first element added to the queue will be the +first one to be removed. This is equivalent to the requirement +that once a new element is added, all elements that were added +before have to be removed before the new element can be removed. +Often a peek or front operation is also entered, returning the +value of the front element without dequeuing it. A queue is an +example of a linear data structure, or more abstractly a sequential collection. Representation of a FIFO (first in, first out) queue From 7f7e4eae3eacc15c2b7bc2db920c9e26c258cbed Mon Sep 17 00:00:00 2001 From: qiugu <33192247+qiugu@users.noreply.github.com> Date: Thu, 27 Jan 2022 03:29:51 +0800 Subject: [PATCH 012/135] feat: add linkedList insert method (#774) Co-authored-by: byj --- src/data-structures/linked-list/LinkedList.js | 34 +++++++++++++++++++ .../linked-list/__test__/LinkedList.test.js | 15 ++++++++ 2 files changed, 49 insertions(+) diff --git a/src/data-structures/linked-list/LinkedList.js b/src/data-structures/linked-list/LinkedList.js index 71c2b49755..310af779d3 100644 --- a/src/data-structures/linked-list/LinkedList.js +++ b/src/data-structures/linked-list/LinkedList.js @@ -54,6 +54,40 @@ export default class LinkedList { return this; } + /** + * @param {*} value + * @param {*} index + * @return {LinkedList} + */ + insert(value, index) { + index = index < 0 ? 0 : index; + if (index === 0) { + this.prepend(value); + } else { + let count = 1; + let currentNode = this.head; + const newNode = new LinkedListNode(value); + while (currentNode) { + if (count === index) break; + currentNode = currentNode.next; + count++; + } + if (currentNode) { + newNode.next = currentNode.next; + currentNode.next = newNode; + } else { + if (this.tail) { + this.tail.next = newNode; + this.tail = newNode; + } else { + this.head = newNode; + this.tail = newNode; + } + } + } + return this; + } + /** * @param {*} value * @return {LinkedListNode} diff --git a/src/data-structures/linked-list/__test__/LinkedList.test.js b/src/data-structures/linked-list/__test__/LinkedList.test.js index f4eb83e2bd..cc9440f162 100644 --- a/src/data-structures/linked-list/__test__/LinkedList.test.js +++ b/src/data-structures/linked-list/__test__/LinkedList.test.js @@ -32,6 +32,21 @@ describe('LinkedList', () => { expect(linkedList.toString()).toBe('3,2,1'); }); + it('should insert node to linked list', () => { + const linkedList = new LinkedList(); + + linkedList.insert(4, 3); + expect(linkedList.head.toString()).toBe('4'); + expect(linkedList.tail.toString()).toBe('4'); + + linkedList.insert(3, 2); + linkedList.insert(2, 1); + linkedList.insert(1, -7); + linkedList.insert(10, 9); + + expect(linkedList.toString()).toBe('1,4,2,3,10'); + }) + it('should delete node by value from linked list', () => { const linkedList = new LinkedList(); From 00887c2d405a1246738be0eef9f529f87362b145 Mon Sep 17 00:00:00 2001 From: "observer.js" Date: Thu, 27 Jan 2022 02:35:01 +0700 Subject: [PATCH 013/135] [ID] Minor Improvements (#742) * fix: `menghapus` typo should be `menghapus` instead of `mengahpus` * fix: translations Should be `algoritma` instead of `algoritme`. etc is in EN, replace it with `dan lain-lain` (etc in ID) * fix: adding space to z-algorithm since Z is the name of the algorithm. Co-authored-by: Oleksii Trekhleb --- README.id-ID.md | 72 ++++++++++++++++++++++++------------------------- 1 file changed, 36 insertions(+), 36 deletions(-) diff --git a/README.id-ID.md b/README.id-ID.md index 17e940576f..cb42feb196 100644 --- a/README.id-ID.md +++ b/README.id-ID.md @@ -5,7 +5,7 @@ Repositori ini berisi contoh-contoh algoritme dan struktur data yang populer menggunakan JavaScript. -Setiap algoritme dan struktur data memiliki README-nya tersendiri dengan penjelasan yang berkaitan dan tautan untuk bacaan lebih lanjut (termasuk tautan menuju video YouTube). +Setiap algoritma dan struktur data memiliki README-nya tersendiri dengan penjelasan yang berkaitan dan tautan untuk bacaan lebih lanjut (termasuk tautan menuju video YouTube). _Baca ini dalam bahasa yang lain:_ [_English_](https://github.com/trekhleb/javascript-algorithms/), @@ -50,24 +50,24 @@ Struktur data adalah cara tertentu untuk mengatur dan menyimpan data dalam kompu - `L` [_Disjoint Set_](src/data-structures/disjoint-set) - `L` [_Bloom Filter_](src/data-structures/bloom-filter) -## Algoritme +## Algoritma -Algoritme adalah sebuah perincian yang jelas tentang cara untuk memecahkan suatu masalah. Ia adalah sekumpulan aturan yang menjelaskan secara tepat urutan-urutan dari sebuah operasi. +Algoritma adalah sebuah perincian yang jelas tentang cara untuk memecahkan suatu masalah. Ia adalah sekumpulan aturan yang menjelaskan secara tepat urutan-urutan dari sebuah operasi. `P` - Pemula, `L` - Lanjutan -### Algoritme Berdasarkanan Topik +### Algoritma Berdasarkanan Topik - **Matematika** - - `P` [Manipulasi Bit](src/algorithms/math/bits) - menetapkan/mendapatkan/memperbarui/menghapus bit, perkalian/pembagian dengan angka 2, membuat bilangan negatif dsb. + - `P` [Manipulasi Bit](src/algorithms/math/bits) - menetapkan/mendapatkan/memperbarui/menghapus bit, perkalian/pembagian dengan angka 2, membuat bilangan negatif dan lain-lain. - `P` [Faktorial](src/algorithms/math/Faktorial) - `P` [Bilangan Fibonacci](src/algorithms/math/fibonacci) - versi klasik dan bentuk tertutup - `P` [Faktor Prima](src/algorithms/math/prime-factors) - menemukan faktor prima dan menghitungnya menggunakan teorema Hardy-Ramanujan - `P` [Pengujian Bilangan Prima](src/algorithms/math/primality-test) (metode _trial division_) - - `P` [Algoritme Euclidean](src/algorithms/math/euclidean-algorithm) - menghitung Faktor Persekutuan Terbesar (FPB) + - `P` [Algoritma Euclidean](src/algorithms/math/euclidean-algorithm) - menghitung Faktor Persekutuan Terbesar (FPB) - `P` [_Least Common Multiple_](src/algorithms/math/least-common-multiple) (LCM) - `P` [_Sieve of Eratosthenes_](src/algorithms/math/sieve-of-eratosthenes) - menemukan semua bilangan prima hingga batas yang ditentukan - - `P` [_Is Power of Two_](src/algorithms/math/is-power-of-two) - mengecek apakah sebuah bilangan adalah hasil dari pangkat dua (algoritme _naive_ dan _bitwise_) + - `P` [_Is Power of Two_](src/algorithms/math/is-power-of-two) - mengecek apakah sebuah bilangan adalah hasil dari pangkat dua (algoritma _naive_ dan _bitwise_) - `P` [Segitiga Pascal](src/algorithms/math/pascal-triangle) - `P` [Bilangan Kompleks](src/algorithms/math/complex-number) - bilangan kompleks dengan operasi dasarnya - `P` [Radian & Derajat](src/algorithms/math/radian) - konversi radian ke derajat dan sebaliknya @@ -75,7 +75,7 @@ Algoritme adalah sebuah perincian yang jelas tentang cara untuk memecahkan suatu - `P` [Metode Horner](src/algorithms/math/horner-method) - evaluasi polinomial - `L` [Partisi Bilangan Bulat](src/algorithms/math/integer-partition) - `L` [Akar Pangkat Dua](src/algorithms/math/square-root) - metode Newton - - `L` [Algoritme π Liu Hui](src/algorithms/math/liu-hui) - perkiraan perhitungan π berdasarkan segibanyak + - `L` [Algoritma π Liu Hui](src/algorithms/math/liu-hui) - perkiraan perhitungan π berdasarkan segibanyak - `L` [Transformasi Diskrit Fourier](src/algorithms/math/fourier-transform) - menguraikan fungsi waktu (sinyal) menjadi frekuensi yang menyusunnya - **Himpunan** - `P` [Produk Kartesian](src/algorithms/sets/cartesian-product) - hasil dari beberapa himpunan @@ -91,10 +91,10 @@ Algoritme adalah sebuah perincian yang jelas tentang cara untuk memecahkan suatu - `L` [_Combination Sum_](src/algorithms/sets/combination-sum) - menemukan semua kombinasi yang membentuk jumlah tertentu - **String** - `P` [Jarak Hamming](src/algorithms/string/hamming-distance) - jumlah posisi di mana ditemukan simbol-simbol yang berbeda - - `L` [Algoritme Jarak Levenshtein](src/algorithms/string/levenshtein-distance) - _edit distance_ minimum antara dua urutan - - `L` [Algoritme Knuth–Morris–Pratt](src/algorithms/string/knuth-morris-pratt) (Algoritme KMP) - pencarian substring (pencocokan pola) - - `L` [AlgoritmeZ](src/algorithms/string/z-algorithm) - pencarian substring (pencocokan pola) - - `L` [Algoritme Rabin Karp](src/algorithms/string/rabin-karp) - pencarian substring + - `L` [Algoritma Jarak Levenshtein](src/algorithms/string/levenshtein-distance) - _edit distance_ minimum antara dua urutan + - `L` [Algoritma Knuth–Morris–Pratt](src/algorithms/string/knuth-morris-pratt) (Algoritma KMP) - pencarian substring (pencocokan pola) + - `L` [Algoritma Z](src/algorithms/string/z-algorithm) - pencarian substring (pencocokan pola) + - `L` [Algoritma Rabin Karp](src/algorithms/string/rabin-karp) - pencarian substring - `L` [_Longest Common Substring_](src/algorithms/string/longest-common-substring) - `L` [Pencocokan Ekspresi Reguler](src/algorithms/string/regular-expression-matching) - **Pencarian** @@ -121,18 +121,18 @@ Algoritme adalah sebuah perincian yang jelas tentang cara untuk memecahkan suatu - **Graf** - `P` [Pencarian Kedalaman Pertama](src/algorithms/graph/depth-first-search) (DFS) - `P` [Pencarian Luas Pertama](src/algorithms/graph/breadth-first-search) (BFS) - - `P` [Algoritme Kruskal](src/algorithms/graph/kruskal) - mencari rentang pohon minimum untuk graf tidak berarah berbobot - - `L` [Algoritme Dijkstra](src/algorithms/graph/dijkstra) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal - - `L` [Algoritme Bellman-Ford](src/algorithms/graph/bellman-ford) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal - - `L` [Algoritme Floyd-Warshall](src/algorithms/graph/floyd-warshall) - menemukan jalur terpendek antara semua pasangan sudut + - `P` [Algoritma Kruskal](src/algorithms/graph/kruskal) - mencari rentang pohon minimum untuk graf tidak berarah berbobot + - `L` [Algoritma Dijkstra](src/algorithms/graph/dijkstra) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal + - `L` [Algoritma Bellman-Ford](src/algorithms/graph/bellman-ford) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal + - `L` [Algoritma Floyd-Warshall](src/algorithms/graph/floyd-warshall) - menemukan jalur terpendek antara semua pasangan sudut - `L` [Mendeteksi Siklus](src/algorithms/graph/detect-cycle) - untuk graf berarah dan tidak berarah (berdasarkan versi DFS dan _Disjoint Set_) - - `L` [ALgoritme Prim](src/algorithms/graph/prim) - mencari rentang pohon minimum untuk graf tidak berarah berbobot + - `L` [ALgoritma Prim](src/algorithms/graph/prim) - mencari rentang pohon minimum untuk graf tidak berarah berbobot - `L` [Sortir Topologi](src/algorithms/graph/topological-sorting) - metode DFS - - `L` [Poin Artikulasi](src/algorithms/graph/articulation-points) - Algoritme Tarjan (berdasarkan DFS) - - `L` [Jembatan](src/algorithms/graph/bridges) - Algoritme berdasarkan DFS - - `L` [Jalur dan Sirkuit Eulerian](src/algorithms/graph/eulerian-path) - Algoritme Fleury - Mengunjungi setiap tepinya tepat satu kali + - `L` [Poin Artikulasi](src/algorithms/graph/articulation-points) - Algoritma Tarjan (berdasarkan DFS) + - `L` [Jembatan](src/algorithms/graph/bridges) - Algoritma berdasarkan DFS + - `L` [Jalur dan Sirkuit Eulerian](src/algorithms/graph/eulerian-path) - Algoritma Fleury - Mengunjungi setiap tepinya tepat satu kali - `L` [Siklus Hamiltonian](src/algorithms/graph/hamiltonian-cycle) - mengunjungi setiap sudutnya tepat satu kali - - `L` [Komponen yang Terkoneksi dengan Kuat](src/algorithms/graph/strongly-connected-components) - Algoritme Kosaraju + - `L` [Komponen yang Terkoneksi dengan Kuat](src/algorithms/graph/strongly-connected-components) - Algoritma Kosaraju - `L` [Permasalahan Penjual Keliling](src/algorithms/graph/travelling-salesman) - kemungkinan rute terpendek untuk mengunjungi setiap kota dan kembali lagi ke kota asal - **Kriptografi** - `P` [Polinomial Hash](src/algorithms/cryptography/polynomial-hash) - fungsi rolling hash berdasarkan polinomial @@ -141,7 +141,7 @@ Algoritme adalah sebuah perincian yang jelas tentang cara untuk memecahkan suatu - `P` [NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 fungsi JS sederhana yang mengilustrasikan bagaimana mesin-mesin dapat benar-benar belajar (perambatan maju/mundur) - **Tidak Dikategorikan** - `P` [Menara Hanoi](src/algorithms/uncategorized/hanoi-tower) - - `P` [Perputaran Matriks Persegi](src/algorithms/uncategorized/square-matrix-rotation) - algoritme _in-place_ + - `P` [Perputaran Matriks Persegi](src/algorithms/uncategorized/square-matrix-rotation) - algoritma _in-place_ - `P` [Permainan Melompat](src/algorithms/uncategorized/jump-game) - runut-balik, pemrograman dinamis (atas ke bawah + bawah ke atas) and contoh-contoh _greedy_ - `P` [_Unique Paths_](src/algorithms/uncategorized/unique-paths) - runut-balik, pemrograman dinamis and contoh-contoh beradsarkan Segitiga Pascal - `P` [_Rain Terraces_](src/algorithms/uncategorized/rain-terraces) - permasalahan _trapping rain water_ (versi pemrograman dinamis and _brute force_) @@ -149,9 +149,9 @@ Algoritme adalah sebuah perincian yang jelas tentang cara untuk memecahkan suatu - `L` [Permainan N-Queen](src/algorithms/uncategorized/n-queens) - `L` [Permainan Knight's Tour](src/algorithms/uncategorized/knight-tour) -### Algoritme Berdasarkan Paradigma +### Algoritma Berdasarkan Paradigma -Paradigma algoritmik adalah sebuah metode atau pendekatan umum yang mendasari desain sebuah tingkatan algoritme. Paradigma algoritmik merupakan abstraksi yang lebih tinggi dari gagasan sebuah algoritme, seperti halnya sebuah algoritme merupakan abstraksi yang lebih tinggi dari sebuah program komputer. +Paradigma algoritmik adalah sebuah metode atau pendekatan umum yang mendasari desain sebuah tingkatan algoritma. Paradigma algoritmik merupakan abstraksi yang lebih tinggi dari gagasan sebuah algoritma, seperti halnya sebuah algoritma merupakan abstraksi yang lebih tinggi dari sebuah program komputer. - **_Brute Force_** - melihat ke semua kemungkinan dan memilih solusi yang terbaik - `P` [Pencarian Linier](src/algorithms/search/linear-search) @@ -163,14 +163,14 @@ Paradigma algoritmik adalah sebuah metode atau pendekatan umum yang mendasari de - **_Greedy_** - memilih pilihan terbaik pada saat ini tanpa mempertimbangkan masa yang akan datang - `P` [Permainan Melompat](src/algorithms/uncategorized/jump-game) - `L` [Permasalahan Knapsack yang Tidak Dibatasi](src/algorithms/sets/knapsack-problem) - - `L` [Algoritme Dijkstra](src/algorithms/graph/dijkstra) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal - - `L` [Algoritme Prim](src/algorithms/graph/prim) - mencari rentang pohon minimum untuk graf tidak berarah berbobot - - `L` [Algoritme Kruskal](src/algorithms/graph/kruskal) - mencari rentang pohon minimum untuk graf tidak berarah berbobot + - `L` [Algoritma Dijkstra](src/algorithms/graph/dijkstra) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal + - `L` [Algoritma Prim](src/algorithms/graph/prim) - mencari rentang pohon minimum untuk graf tidak berarah berbobot + - `L` [Algoritma Kruskal](src/algorithms/graph/kruskal) - mencari rentang pohon minimum untuk graf tidak berarah berbobot - **Memecah dan Menaklukkan** - membagi masalah menjadi bagian-bagian yang kecil, lalu memcahkan bagian-bagian tersebut - `P` [Pencarian Biner](src/algorithms/search/binary-search) - `P` [Menara Hanoi](src/algorithms/uncategorized/hanoi-tower) - `P` [Segitiga Pascal](src/algorithms/math/pascal-triangle) - - `P` [Algoritme Euclidean](src/algorithms/math/euclidean-algorithm) - menghitung Faktor Persekutuan Terbesar (FPB) + - `P` [Algoritma Euclidean](src/algorithms/math/euclidean-algorithm) - menghitung Faktor Persekutuan Terbesar (FPB) - `P` [Sortir Gabungan](src/algorithms/sorting/merge-sort) - `P` [Sortir Cepat](src/algorithms/sorting/quick-sort) - `P` [Pencarian Kedalaman Pertama untuk Pohon](src/algorithms/tree/depth-first-search) (DFS) @@ -185,7 +185,7 @@ Paradigma algoritmik adalah sebuah metode atau pendekatan umum yang mendasari de - `P` [_Unique Paths_](src/algorithms/uncategorized/unique-paths) - `P` [_Rain Terraces_](src/algorithms/uncategorized/rain-terraces) - permasalahan _trapping rain water_ - `P` [Tangga Rekursif](src/algorithms/uncategorized/recursive-staircase) - menghitung jumlah cara untuk mencapai ke atas tangga - - `L` [Algoritme Jarak Levenshtein](src/algorithms/string/levenshtein-distance) - _edit distance_ minimum antara dua urutan + - `L` [Algoritma Jarak Levenshtein](src/algorithms/string/levenshtein-distance) - _edit distance_ minimum antara dua urutan - `L` [_Longest Common Subsquence_](src/algorithms/sets/longest-common-subsequence) (LCS) - `L` [_Longest Common Substring_](src/algorithms/string/longest-common-substring) - `L` [_Longest Increasing Subsequence_](src/algorithms/sets/longest-increasing-subsequence) @@ -193,10 +193,10 @@ Paradigma algoritmik adalah sebuah metode atau pendekatan umum yang mendasari de - `L` [Permasalahan Knapsack 0/1](src/algorithms/sets/knapsack-problem) - `L` [Partisi Bilangan Bulat](src/algorithms/math/integer-partition) - `L` [Upalarik Maksimum](src/algorithms/sets/maximum-subarray) - - `L` [Algoritme Bellman-Ford](src/algorithms/graph/bellman-ford) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal - - `L` [Algoritme Floyd-Warshall](src/algorithms/graph/floyd-warshall) - menemukan jalur terpendek antara semua pasangan sudut + - `L` [Algoritma Bellman-Ford](src/algorithms/graph/bellman-ford) - menemukan jalur terpendek ke semua sudut graf dari sudut tunggal + - `L` [Algoritma Floyd-Warshall](src/algorithms/graph/floyd-warshall) - menemukan jalur terpendek antara semua pasangan sudut - `L` [Pencocokan Ekspresi Reguler](src/algorithms/string/regular-expression-matching) -- **Runut-balik** - sama halnya dengan _brute force_, algoritme ini mencoba untuk menghasilkan segala kemungkinan solusi, tetapi setiap kali anda menghasilkan solusi selanjutnya, anda akan menguji apakah solusi tersebut memenuhi semua kondisi dan setelah itu baru akan menghasilkan solusi berikutnya. Apabila tidak, maka akan merunut-balik dan mencari solusi di jalur yang berbeda. Biasanya menggunakan lintas DFS dari ruang keadaan. +- **Runut-balik** - sama halnya dengan _brute force_, algoritma ini mencoba untuk menghasilkan segala kemungkinan solusi, tetapi setiap kali anda menghasilkan solusi selanjutnya, anda akan menguji apakah solusi tersebut memenuhi semua kondisi dan setelah itu baru akan menghasilkan solusi berikutnya. Apabila tidak, maka akan merunut-balik dan mencari solusi di jalur yang berbeda. Biasanya menggunakan lintas DFS dari ruang keadaan. - `P` [Permainan Melompat](src/algorithms/uncategorized/jump-game) - `P` [_Unique Paths_](src/algorithms/uncategorized/unique-paths) - `P` [Himpunan Kuasa](src/algorithms/sets/power-set) - semua himpunan bagian dari sebuah himpunan @@ -236,7 +236,7 @@ npm test -- 'LinkedList' **_Playground_** -Anda dapat bermain dengan algoritme dan struktur data di _file_ `./src/playground/playground.js` dan menuliskan tesnya di `./src/playground/__test__/playground.test.js`. +Anda dapat bermain dengan algoritma dan struktur data di _file_ `./src/playground/playground.js` dan menuliskan tesnya di `./src/playground/__test__/playground.test.js`. Lalu, hanya tinggal menjalankan perintah berikut untuk mengetes apakah kode _playground_ anda bekerja sesuai dengan keinginan: @@ -248,11 +248,11 @@ npm test -- 'playground' ### Referensi -[▶ Algoritme dan Struktur Data di YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +[▶ Algoritma dan Struktur Data di YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) ### Notasi _Big O_ -Notasi _Big O_ digunakan untuk mengklasifikasikan algoritme berdasarkan durasi atau ruang yang dibutuhkan seiring bertambahnya _input_. Pada grafik dibawah, anda dapat menemukan urutan pertumbuhan yang paling umum dari algoritme yang ditentukan dalam notasi _Big O_. +Notasi _Big O_ digunakan untuk mengklasifikasikan algoritma berdasarkan durasi atau ruang yang dibutuhkan seiring bertambahnya _input_. Pada grafik dibawah, anda dapat menemukan urutan pertumbuhan yang paling umum dari algoritma yang ditentukan dalam notasi _Big O_. ![Big O graphs](./assets/big-o-graph.png) @@ -285,7 +285,7 @@ Di bawah ini adalah daftar dari beberapa notasi _Big O_ yang sering digunakan da | **AVL Tree** | log(n) | log(n) | log(n) | log(n) | | | **Bloom Filter** | - | 1 | 1 | - | Positif palsu dimungkinkan saat pencarian | -### Kompleksitas Algoritme Sortir Larik +### Kompleksitas Algoritma Sortir Larik | Nama | Terbaik | Rata-rata | Terburuk | Memori | Stabil | Keterangan | | -------------------------------------- | :-----------: | :--------------------------: | :-------------------------: | :----: | :----: | :-------------------------------------------------------------------------------- | From c1b2e893ff913ab4162620acf3b0adebe13b55ef Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Muhammed=20Erdin=C3=A7?= <33763365+muhammederdinc@users.noreply.github.com> Date: Wed, 26 Jan 2022 22:35:45 +0300 Subject: [PATCH 014/135] Factorial turkish readme (#740) * added turkish readme for factorial * Added redirect link to Turkish document. --- src/algorithms/math/factorial/README.md | 2 +- src/algorithms/math/factorial/README.tr-TR.md | 38 +++++++++++++++++++ 2 files changed, 39 insertions(+), 1 deletion(-) create mode 100644 src/algorithms/math/factorial/README.tr-TR.md diff --git a/src/algorithms/math/factorial/README.md b/src/algorithms/math/factorial/README.md index 107b55a3d3..032121dfdf 100644 --- a/src/algorithms/math/factorial/README.md +++ b/src/algorithms/math/factorial/README.md @@ -1,7 +1,7 @@ # Factorial _Read this in other languages:_ -[_简体中文_](README.zh-CN.md), [français](README.fr-FR.md). +[_简体中文_](README.zh-CN.md), [français](README.fr-FR.md), [turkish](README.tr-TR.md). In mathematics, the factorial of a non-negative integer `n`, denoted by `n!`, is the product of all positive integers less diff --git a/src/algorithms/math/factorial/README.tr-TR.md b/src/algorithms/math/factorial/README.tr-TR.md new file mode 100644 index 0000000000..68ce21a299 --- /dev/null +++ b/src/algorithms/math/factorial/README.tr-TR.md @@ -0,0 +1,38 @@ +# Faktöriyel + +_Bunu diğer dillerde okuyun:_ +[_简体中文_](README.zh-CN.md), [français](README.fr-FR.md). + +Faktöriyel, matematikte, sağına ünlem işareti konulmuş sayıya +verilen isim, daha genel olan Gama fonksiyonunun tam sayılarla +sınırlanmış özel bir durumudur. 1'den başlayarak belirli bir +sayma sayısına kadar olan sayıların çarpımına o sayının +faktöriyeli denir. Basit bir şekilde faktöriyel, n tane ayrık +elemanın kaç farklı şekilde sıralanabileceğidir. + +``` +5! = 5 * 4 * 3 * 2 * 1 = 120 +``` + +| n | n! | +| --- | ----------------: | +| 0 | 1 | +| 1 | 1 | +| 2 | 2 | +| 3 | 6 | +| 4 | 24 | +| 5 | 120 | +| 6 | 720 | +| 7 | 5 040 | +| 8 | 40 320 | +| 9 | 362 880 | +| 10 | 3 628 800 | +| 11 | 39 916 800 | +| 12 | 479 001 600 | +| 13 | 6 227 020 800 | +| 14 | 87 178 291 200 | +| 15 | 1 307 674 368 000 | + +## Referanslar + +[Wikipedia](https://en.wikipedia.org/wiki/Factorial) From aa0f47ed658cbd84e975bd5aa4f0d8659e3817e2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Muhammed=20Erdin=C3=A7?= <33763365+muhammederdinc@users.noreply.github.com> Date: Wed, 26 Jan 2022 22:36:54 +0300 Subject: [PATCH 015/135] Linked list turkish readme (#739) * added README.tr-TR.md for linked-list * added gap * linked list description edited. --- src/data-structures/linked-list/README.md | 1 + .../linked-list/README.tr-TR.md | 159 ++++++++++++++++++ 2 files changed, 160 insertions(+) create mode 100644 src/data-structures/linked-list/README.tr-TR.md diff --git a/src/data-structures/linked-list/README.md b/src/data-structures/linked-list/README.md index f30dbffaf7..d4b9fa53e9 100644 --- a/src/data-structures/linked-list/README.md +++ b/src/data-structures/linked-list/README.md @@ -7,6 +7,7 @@ _Read this in other languages:_ [_Português_](README.pt-BR.md), [_한국어_](README.ko-KR.md), [_Español_](README.es-ES.md), +[_Turkish_](README.tr-TR.md), In computer science, a **linked list** is a linear collection of data elements, in which linear order is not given by diff --git a/src/data-structures/linked-list/README.tr-TR.md b/src/data-structures/linked-list/README.tr-TR.md new file mode 100644 index 0000000000..e3f73fdf63 --- /dev/null +++ b/src/data-structures/linked-list/README.tr-TR.md @@ -0,0 +1,159 @@ +# Bağlantılı Liste + +_Bunu diğer dillerde okuyun:_ +[_简体中文_](README.zh-CN.md), +[_Русский_](README.ru-RU.md), +[_日本語_](README.ja-JP.md), +[_Português_](README.pt-BR.md), +[_한국어_](README.ko-KR.md), +[_Español_](README.es-ES.md), + +Bilgisayar bilimlerinde, **Bağlantılı liste**, her biri hem gerçek verileri +hem de listedeki bir sonraki düğümün bir bağlantısını içeren dinamik bir +veri yapısıdır. Bu yapı, yineleme sırasında rastgele bir konumda +öğeleri verimli bir şekilde eklemenize ve kaldırmanıza olanak tanır. +Daha karmaşık seçenekler için, isteğe bağlı öğeleri verimli bir şekilde +eklemek ve kaldırmak için ek bağlantılar içerir. + +Bağlantılı listelerin bir dezavantajı, erişim süresinin doğrusal olmasıdır +(ve ardışık düzene geçirilmesi zordur). Rastgele erişim gibi daha hızlı erişim +mümkün değildir. Diziler, bağlantılı listelere kıyasla daha iyi önbellek konumuna sahiptir. + +![Bağlantılı Liste](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) + +## Temel İşlemler için Sözde Kod + +### Ekleme + +```text +Add(value) + Pre: value is the value to add to the list + Post: value has been placed at the tail of the list + n ← node(value) + if head = ø + head ← n + tail ← n + else + tail.next ← n + tail ← n + end if +end Add +``` + +```text +Prepend(value) + Pre: value is the value to add to the list + Post: value has been placed at the head of the list + n ← node(value) + n.next ← head + head ← n + if tail = ø + tail ← n + end +end Prepend +``` + +### Arama + +```text +Contains(head, value) + Pre: head is the head node in the list + value is the value to search for + Post: the item is either in the linked list, true; otherwise false + n ← head + while n != ø and n.value != value + n ← n.next + end while + if n = ø + return false + end if + return true +end Contains +``` + +### Silme + +```text +Remove(head, value) + Pre: head is the head node in the list + value is the value to remove from the list + Post: value is removed from the list, true, otherwise false + if head = ø + return false + end if + n ← head + if n.value = value + if head = tail + head ← ø + tail ← ø + else + head ← head.next + end if + return true + end if + while n.next != ø and n.next.value != value + n ← n.next + end while + if n.next != ø + if n.next = tail + tail ← n + tail.next = null + end if + n.next ← n.next.next + return true + end if + return false +end Remove +``` + +### Geçiş + +```text +Traverse(head) + Pre: head is the head node in the list + Post: the items in the list have been traversed + n ← head + while n != ø + yield n.value + n ← n.next + end while +end Traverse +``` + +### Ters Geçiş + +```text +ReverseTraversal(head, tail) + Pre: head and tail belong to the same list + Post: the items in the list have been traversed in reverse order + if tail != ø + curr ← tail + while curr != head + prev ← head + while prev.next != curr + prev ← prev.next + end while + yield curr.value + curr ← prev + end while + yield curr.value + end if +end ReverseTraversal +``` + +## Karmaşıklıklar + +### Zaman Karmaşıklığı + +| Erişim | Arama | Ekleme | Silme | +| :-------: | :-------: | :-------: | :-------: | +| O(n) | O(n) | O(1) | O(n) | + +### Uzay Karmaşıklığı + +O(n) + +## Referanslar + +- [Wikipedia](https://en.wikipedia.org/wiki/Linked_list) +- [YouTube](https://www.youtube.com/watch?v=njTh_OwMljA&index=2&t=1s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) From 2a49b7045a5718c7623cbc4591a8f8c45b5e4721 Mon Sep 17 00:00:00 2001 From: rmagillxyz Date: Wed, 26 Jan 2022 14:38:56 -0500 Subject: [PATCH 016/135] Add type name to Big O table (#717) --- README.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 6bc124c357..914b233240 100644 --- a/README.md +++ b/README.md @@ -305,15 +305,15 @@ Source: [Big O Cheat Sheet](http://bigocheatsheet.com/). Below is the list of some of the most used Big O notations and their performance comparisons against different sizes of the input data. -| Big O Notation | Computations for 10 elements | Computations for 100 elements | Computations for 1000 elements | -| -------------- | ---------------------------- | ----------------------------- | ------------------------------- | -| **O(1)** | 1 | 1 | 1 | -| **O(log N)** | 3 | 6 | 9 | -| **O(N)** | 10 | 100 | 1000 | -| **O(N log N)** | 30 | 600 | 9000 | -| **O(N^2)** | 100 | 10000 | 1000000 | -| **O(2^N)** | 1024 | 1.26e+29 | 1.07e+301 | -| **O(N!)** | 3628800 | 9.3e+157 | 4.02e+2567 | +| Type | Big O Notation | Computations for 10 elements | Computations for 100 elements | Computations for 1000 elements | +| ----------- | -------------- | ---------------------------- | ----------------------------- | ------------------------------- | +| Constant | **O(1)** | 1 | 1 | 1 | +| Logarithmic | **O(log N)** | 3 | 6 | 9 | +| Linear | **O(N)** | 10 | 100 | 1000 | +| n log(n) | **O(N log N)** | 30 | 600 | 9000 | +| Quadratic | **O(N^2)** | 100 | 10000 | 1000000 | +| Exponential | **O(2^N)** | 1024 | 1.26e+29 | 1.07e+301 | +| Factorial | **O(N!)** | 3628800 | 9.3e+157 | 4.02e+2567 | ### Data Structure Operations Complexity From 9ca459ff657318de2d5a86f2c56b8442db8b297f Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Wed, 26 Jan 2022 20:50:39 +0100 Subject: [PATCH 017/135] Fix lint issue. --- src/data-structures/linked-list/LinkedList.js | 8 ++++---- .../linked-list/__test__/LinkedList.test.js | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/src/data-structures/linked-list/LinkedList.js b/src/data-structures/linked-list/LinkedList.js index 310af779d3..ba7d0e3ee1 100644 --- a/src/data-structures/linked-list/LinkedList.js +++ b/src/data-structures/linked-list/LinkedList.js @@ -56,11 +56,11 @@ export default class LinkedList { /** * @param {*} value - * @param {*} index + * @param {number} index * @return {LinkedList} */ - insert(value, index) { - index = index < 0 ? 0 : index; + insert(value, rawIndex) { + const index = rawIndex < 0 ? 0 : rawIndex; if (index === 0) { this.prepend(value); } else { @@ -70,7 +70,7 @@ export default class LinkedList { while (currentNode) { if (count === index) break; currentNode = currentNode.next; - count++; + count += 1; } if (currentNode) { newNode.next = currentNode.next; diff --git a/src/data-structures/linked-list/__test__/LinkedList.test.js b/src/data-structures/linked-list/__test__/LinkedList.test.js index cc9440f162..fc534c262e 100644 --- a/src/data-structures/linked-list/__test__/LinkedList.test.js +++ b/src/data-structures/linked-list/__test__/LinkedList.test.js @@ -45,7 +45,7 @@ describe('LinkedList', () => { linkedList.insert(10, 9); expect(linkedList.toString()).toBe('1,4,2,3,10'); - }) + }); it('should delete node by value from linked list', () => { const linkedList = new LinkedList(); From 1216d00937ce43ce525254264a2557406fafbc8c Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Wed, 26 Jan 2022 20:53:22 +0100 Subject: [PATCH 018/135] Restructure the Big O Notation table. --- README.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 914b233240..4f6cb03803 100644 --- a/README.md +++ b/README.md @@ -305,15 +305,15 @@ Source: [Big O Cheat Sheet](http://bigocheatsheet.com/). Below is the list of some of the most used Big O notations and their performance comparisons against different sizes of the input data. -| Type | Big O Notation | Computations for 10 elements | Computations for 100 elements | Computations for 1000 elements | -| ----------- | -------------- | ---------------------------- | ----------------------------- | ------------------------------- | -| Constant | **O(1)** | 1 | 1 | 1 | -| Logarithmic | **O(log N)** | 3 | 6 | 9 | -| Linear | **O(N)** | 10 | 100 | 1000 | -| n log(n) | **O(N log N)** | 30 | 600 | 9000 | -| Quadratic | **O(N^2)** | 100 | 10000 | 1000000 | -| Exponential | **O(2^N)** | 1024 | 1.26e+29 | 1.07e+301 | -| Factorial | **O(N!)** | 3628800 | 9.3e+157 | 4.02e+2567 | +| Big O Notation | Type | Computations for 10 elements | Computations for 100 elements | Computations for 1000 elements | +| -------------- | ----------- | ---------------------------- | ----------------------------- | ------------------------------- | +| **O(1)** | Constant | 1 | 1 | 1 | +| **O(log N)** | Logarithmic | 3 | 6 | 9 | +| **O(N)** | Linear | 10 | 100 | 1000 | +| **O(N log N)** | n log(n) | 30 | 600 | 9000 | +| **O(N^2)** | Quadratic | 100 | 10000 | 1000000 | +| **O(2^N)** | Exponential | 1024 | 1.26e+29 | 1.07e+301 | +| **O(N!)** | Factorial | 3628800 | 9.3e+157 | 4.02e+2567 | ### Data Structure Operations Complexity From 7ef78c48aa9303c0e7776d8825db24ae10a50a49 Mon Sep 17 00:00:00 2001 From: tusba <11007086+tusba@users.noreply.github.com> Date: Thu, 27 Jan 2022 01:57:01 +0600 Subject: [PATCH 019/135] Typos in a doubly linked list's "ru" readme (#724) --- src/data-structures/doubly-linked-list/README.ru-RU.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/data-structures/doubly-linked-list/README.ru-RU.md b/src/data-structures/doubly-linked-list/README.ru-RU.md index 66637691fa..ddad0312b0 100644 --- a/src/data-structures/doubly-linked-list/README.ru-RU.md +++ b/src/data-structures/doubly-linked-list/README.ru-RU.md @@ -3,11 +3,11 @@ **Двусвязный список** — связная структура данных в информатике, состоящая из набора последовательно связанных записей, называемых узлами. Каждый узел содержит два поля, называемых ссылками, которые указывают на предыдущий и последующий элементы в -последовательности узлов. Ссылка на предыдущий элемент корневого узла ссылка на -последующий элемент последнего узла, указывают на некого рода прерыватель, обычно +последовательности узлов. Ссылка на предыдущий элемент корневого узла и ссылка на +последующий элемент последнего узла указывают на некого рода прерыватель, обычно сторожевой узел или null, для облегчения обхода списка. Если в списке только один -сторожевой узел, тогда список циклически связана через него. -Двусвязный список можно представить, как два связных списка, которые образованны из +сторожевой узел, тогда список циклически связан через него. +Двусвязный список можно представить, как два связных списка, которые образованы из одних и тех же данных, но расположенных в противоположном порядке. ![Двусвязный список](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) From 80649156ea9ccb8d3e92c4d4e86a72b41b4022b3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Rafael=20Ara=C3=BAjo?= Date: Thu, 27 Jan 2022 05:49:11 -0300 Subject: [PATCH 020/135] Created Quicksort documentation in pt-BR (#735) Co-authored-by: Oleksii Trekhleb --- src/algorithms/sorting/quick-sort/README.md | 2 +- .../sorting/quick-sort/README.pt-BR.md | 35 +++++++++++++++++++ 2 files changed, 36 insertions(+), 1 deletion(-) create mode 100644 src/algorithms/sorting/quick-sort/README.pt-BR.md diff --git a/src/algorithms/sorting/quick-sort/README.md b/src/algorithms/sorting/quick-sort/README.md index 21c6391989..2daedb46cf 100644 --- a/src/algorithms/sorting/quick-sort/README.md +++ b/src/algorithms/sorting/quick-sort/README.md @@ -1,9 +1,9 @@ # Quicksort _Read this in other languages:_ +[_Português_](README.pt-BR.md), [_简体中文_](README.zh-CN.md) - Quicksort is a divide and conquer algorithm. Quicksort first divides a large array into two smaller sub-arrays: the low elements and the high elements. diff --git a/src/algorithms/sorting/quick-sort/README.pt-BR.md b/src/algorithms/sorting/quick-sort/README.pt-BR.md new file mode 100644 index 0000000000..a52f3725de --- /dev/null +++ b/src/algorithms/sorting/quick-sort/README.pt-BR.md @@ -0,0 +1,35 @@ +# Quicksort + +Quicksort é um algoritmo de dividir para conquistar é um algoritmo de divisão e conquista. +Quicksort primeiro divide uma grande matriz em duas menores +submatrizes: os elementos baixos e os elementos altos. +O Quicksort pode então classificar recursivamente as submatrizes + +As etapas são: + +1. Escolha um elemento, denominado pivô, na matriz. +2. Particionamento: reordene a matriz para que todos os elementos com +valores menores que o pivô vêm antes do pivô, enquanto todos +elementos com valores maiores do que o pivô vêm depois dele +(valores iguais podem ser usados em qualquer direção). Após este particionamento, +o pivô está em sua posição final. Isso é chamado de +operação de partição. +3. Aplique recursivamente as etapas acima à submatriz de +elementos com valores menores e separadamente para o +submatriz de elementos com valores maiores. + +Visualização animada do algoritmo quicksort. +As linhas horizontais são valores dinâmicos. + +![Quicksort](https://upload.wikimedia.org/wikipedia/commons/6/6a/Sorting_quicksort_anim.gif) + +## Complexidade + +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Quick sort** | n log(n) | n log(n) | n2 | log(n) | No | Quicksort geralmente é feito no local com espaço de pilha O(log(n)) | + +## Referências + +- [Wikipedia](https://pt.wikipedia.org/wiki/Quicksort) +- [YouTube](https://www.youtube.com/watch?v=SLauY6PpjW4&index=28&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) From c2e5b3d5f1cc1092b2d00386c716980e516484a8 Mon Sep 17 00:00:00 2001 From: tusba <11007086+tusba@users.noreply.github.com> Date: Thu, 27 Jan 2022 14:50:47 +0600 Subject: [PATCH 021/135] Fix error in Queue definition from README.ru-RU.md (#726) --- src/data-structures/queue/README.ru-RU.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/data-structures/queue/README.ru-RU.md b/src/data-structures/queue/README.ru-RU.md index 539272475d..419edadecd 100644 --- a/src/data-structures/queue/README.ru-RU.md +++ b/src/data-structures/queue/README.ru-RU.md @@ -2,8 +2,8 @@ Очередь (англ. queue) - структура данных в информатике, в которой элементы хранятся в порядке их добавления. Добавление новых элементов(enqueue) -осуществляется в начало списка. А удаление элементов (dequeue) -осуществляется с конца. Таким образом очередь реализует принцип +осуществляется в конец списка. А удаление элементов (dequeue) +осуществляется с начала. Таким образом очередь реализует принцип "первым вошёл - первым вышел" (FIFO). Часто реализуется операция чтения головного элемента (peek), которая возвращает первый в очереди элемент, при этом не удаляя его. Очередь является примером линейной структуры From d581548b4c804bf24d48921795f4fe7179a1eb78 Mon Sep 17 00:00:00 2001 From: tusba <11007086+tusba@users.noreply.github.com> Date: Thu, 27 Jan 2022 14:51:29 +0600 Subject: [PATCH 022/135] Fix a typo in linked list's "ru" readme (#723) Deletion time complexity from O(1) to O(n) --- src/data-structures/linked-list/README.ru-RU.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/linked-list/README.ru-RU.md b/src/data-structures/linked-list/README.ru-RU.md index fa8e277e0d..d76bcd82f9 100644 --- a/src/data-structures/linked-list/README.ru-RU.md +++ b/src/data-structures/linked-list/README.ru-RU.md @@ -133,7 +133,7 @@ end ReverseTraversal | Чтение | Поиск | Вставка | Удаление | | :--------: | :-------: | :--------: | :-------: | -| O(n) | O(n) | O(1) | O(1) | +| O(n) | O(n) | O(1) | O(n) | ### Пространственная сложность From 1c4e02879af62743ceb3114676bd166e88f04988 Mon Sep 17 00:00:00 2001 From: Kim Chan Date: Fri, 28 Jan 2022 03:31:19 +0800 Subject: [PATCH 023/135] fix: LinkedList test (#712) --- src/data-structures/linked-list/__test__/LinkedList.test.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/linked-list/__test__/LinkedList.test.js b/src/data-structures/linked-list/__test__/LinkedList.test.js index fc534c262e..6ac41ddf05 100644 --- a/src/data-structures/linked-list/__test__/LinkedList.test.js +++ b/src/data-structures/linked-list/__test__/LinkedList.test.js @@ -230,7 +230,7 @@ describe('LinkedList', () => { expect(node).toBeDefined(); expect(node.value.value).toBe(2); expect(node.value.customValue).toBe('test2'); - expect(linkedList.find({ value: 2, customValue: 'test5' })).toBeNull(); + expect(linkedList.find({ value: { value: 2, customValue: 'test5' } })).toBeNull(); }); it('should find preferring callback over compare function', () => { From d227646201ec734590d71e157dac239a8727dd3c Mon Sep 17 00:00:00 2001 From: Aldo Salas Date: Thu, 27 Jan 2022 13:33:47 -0600 Subject: [PATCH 024/135] Fixing typos in Linked List README.es-ES.md (#710) Co-authored-by: Oleksii Trekhleb --- .../linked-list/README.es-ES.md | 34 +++++++++---------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/src/data-structures/linked-list/README.es-ES.md b/src/data-structures/linked-list/README.es-ES.md index e117f718c3..0a9ec6b3a2 100644 --- a/src/data-structures/linked-list/README.es-ES.md +++ b/src/data-structures/linked-list/README.es-ES.md @@ -7,26 +7,26 @@ _Lee este artículo en otros idiomas:_ [_Português_](README.pt-BR.md) [_English_](README.md) -En ciencias de la computación una **lista enlazada** es una colección linear -de elementos de datos, en los cuales el orden linear no es dado por -su posción física en memoria. En cambio, cada -elemento señala al siguiente. Es una estructura de datos +En ciencias de la computación una **lista enlazada** es una colección lineal +de elementos de datos, en los cuales el orden lineal no es dado por +su posición física en memoria. En cambio, cada +elemento apunta al siguiente. Es una estructura de datos que consiste en un grupo de nodos los cuales juntos representan -una secuencia. Bajo la forma más simple, cada nodo esta +una secuencia. En su forma más sencilla, cada nodo está compuesto de datos y una referencia (en otras palabras, -un lazo) al siguiente nodo en la secuencia. Esta estructura -permite la inserción o remoción de elementos +un enlace) al siguiente nodo en la secuencia. Esta estructura +permite la inserción o eliminación de elementos desde cualquier posición en la secuencia durante la iteración. -Variantes más complejas agregan lazos adicionales, permitiendo -una eficiente inserción o remoción desde referencias arbitrarias -del elemento. Una desventaja de las listas enlazadas es que el tiempo de -acceso es linear (y difícil de canalizar). Un acceso -más rápido, como el aleatorio, no es factible. Los arreglos -tienen una mejor locazion comparados con las listas enlazadas. +Las variantes más complejas agregan enlaces adicionales, permitiendo +una eficiente inserción o eliminación desde referencias arbitrarias +del elemento. Una desventaja de las listas lazadas es que el tiempo de +acceso es lineal (y difícil de canalizar). Un acceso +más rápido, como un acceso aleatorio, no es factible. Los arreglos +tienen una mejor locazion en caché comparados con las listas lazadas. ![Linked List](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) -## Pseudocódigo para operacones básicas +## Pseudocódigo para operaciones básicas ### Insertar @@ -147,11 +147,11 @@ end ReverseTraversal ## Complejidades -### Complejidad del Tiempo +### Complejidad de Tiempo | Acceso | Búsqueda | Inserción | Eliminación | -| :----: | :----: | :-------: | :------: | -| O(n) | O(n) | O(1) | O(n) | +| :----: | :------: | :-------: | :---------: | +| O(n) | O(n) | O(1) | O(n) | ### Complejidad Espacial From 8e8f28ffcf475ff869ec47d05f8753d8fac7117a Mon Sep 17 00:00:00 2001 From: H2rmone <3357458@qq.com> Date: Fri, 28 Jan 2022 03:36:39 +0800 Subject: [PATCH 025/135] Use exist method to be consistent with Stack (#708) --- src/data-structures/queue/Queue.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/queue/Queue.js b/src/data-structures/queue/Queue.js index f6ec6d2dad..64e646fc00 100644 --- a/src/data-structures/queue/Queue.js +++ b/src/data-structures/queue/Queue.js @@ -21,7 +21,7 @@ export default class Queue { * @return {*} */ peek() { - if (!this.linkedList.head) { + if (this.isEmpty()) { return null; } From f0ec1395c10cc8a319adb6887883ae3991767afd Mon Sep 17 00:00:00 2001 From: szhou Date: Fri, 28 Jan 2022 03:40:50 +0800 Subject: [PATCH 026/135] Update README.zh-CN.md (#685) --- src/data-structures/hash-table/README.zh-CN.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/hash-table/README.zh-CN.md b/src/data-structures/hash-table/README.zh-CN.md index 5de3cc5ea2..f9219df8df 100644 --- a/src/data-structures/hash-table/README.zh-CN.md +++ b/src/data-structures/hash-table/README.zh-CN.md @@ -1,7 +1,7 @@ # 哈希表 在计算中, 一个 **哈希表(hash table 或hash map)** 是一种实现 *关联数组(associative array)* -的抽象数据；类型, 该结构可以将 *键映射到值*。 +的抽象数据类型, 该结构可以将 *键映射到值*。 哈希表使用 *哈希函数/散列函数* 来计算一个值在数组或桶(buckets)中或槽(slots)中对应的索引,可使用该索引找到所需的值。 From 9083fe12f64593de7ce1914e281a7fd5ebc4deac Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dar=C3=ADo=20Here=C3=B1=C3=BA?= Date: Thu, 27 Jan 2022 16:44:03 -0300 Subject: [PATCH 027/135] Typos fixed (lines 81, 130, 166, 248) (#668) --- README.es-ES.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.es-ES.md b/README.es-ES.md index df7b61fb1a..35bc08b884 100644 --- a/README.es-ES.md +++ b/README.es-ES.md @@ -164,7 +164,7 @@ Es una abstracción superior a la noción de algoritmo, del mismo modo que un al * `P` [Juego de los saltos](src/algorithms/uncategorized/jump-game) * `A` [Problema de la mochila sin límite](src/algorithms/sets/knapsack-problem) * `A` [Algoritmo de Dijkstra](src/algorithms/graph/dijkstra) - encontrar los caminos más cortos a todos los vértices del grafo desde un solo vértice - * `A` [Algortimo de Prim](src/algorithms/graph/prim) - encontrar el árbol de cubrimiento mínimo (MST) para un grafo no dirigido ponderado + * `A` [Algoritmo de Prim](src/algorithms/graph/prim) - encontrar el árbol de cubrimiento mínimo (MST) para un grafo no dirigido ponderado * `A` [Algoritmo de Kruskal](src/algorithms/graph/kruskal) - encontrar el árbol de cubrimiento mínimo (MST) para un grafo no dirigido ponderado * **Divide y Vencerás** - divide el problema en partes más pequeñas y luego resuelve esas partes * `P` [Búsqueda binaria](src/algorithms/search/binary-search) @@ -246,7 +246,7 @@ npm test -- 'playground' ## Información útil -### Refrencias +### Referencias [▶ Estructuras de datos y algoritmos en YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) From b816825232d9704913221270f579b4a337a6b9e3 Mon Sep 17 00:00:00 2001 From: Marcio Flavio Date: Thu, 27 Jan 2022 16:46:06 -0300 Subject: [PATCH 028/135] Adding single quotes type to editorconfig (#670) --- .editorconfig | 1 + 1 file changed, 1 insertion(+) diff --git a/.editorconfig b/.editorconfig index 11c2bd2445..c658e4879e 100644 --- a/.editorconfig +++ b/.editorconfig @@ -8,3 +8,4 @@ charset = utf-8 indent_style = space indent_size = 2 trim_trailing_whitespace = true +quote_type = single \ No newline at end of file From 945e7c384e9d9a1683d51521b7d0dcf1d5a16bd9 Mon Sep 17 00:00:00 2001 From: Trang Nguyen Date: Thu, 27 Jan 2022 22:52:47 +0300 Subject: [PATCH 029/135] Add Vietnamese translation (#667) Co-authored-by: Oleksii Trekhleb --- README.ar-AR.md | 1 + README.es-ES.md | 1 + README.fr-FR.md | 1 + README.id-ID.md | 1 + README.it-IT.md | 1 + README.ja-JP.md | 1 + README.ko-KR.md | 1 + README.md | 1 + README.pl-PL.md | 1 + README.pt-BR.md | 1 + README.ru-RU.md | 1 + README.tr-TR.md | 1 + README.uk-UA.md | 1 + README.vi-VN.md | 328 ++++++++++++++++++++++++++++++++++++++++++++++++ README.zh-CN.md | 1 + README.zh-TW.md | 1 + 16 files changed, 343 insertions(+) create mode 100644 README.vi-VN.md diff --git a/README.ar-AR.md b/README.ar-AR.md index 07522e78a6..cbcfd02409 100644 --- a/README.ar-AR.md +++ b/README.ar-AR.md @@ -22,6 +22,7 @@ _اقرأ هذا في لغات أخرى:_ [_Русский_](README.ru-RU.md), [_Türk_](README.tr-TR.md), [_Italiana_](README.it-IT.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) ☝ ملاحضة هذا المشروع مخصص للاستخدام لأغراض التعلم والبحث diff --git a/README.es-ES.md b/README.es-ES.md index 35bc08b884..d79baf6022 100644 --- a/README.es-ES.md +++ b/README.es-ES.md @@ -24,6 +24,7 @@ _Léelo en otros idiomas:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) *☝ Nótese que este proyecto está pensado con fines de aprendizaje e investigación, diff --git a/README.fr-FR.md b/README.fr-FR.md index 59087825ff..469a4f52d9 100644 --- a/README.fr-FR.md +++ b/README.fr-FR.md @@ -25,6 +25,7 @@ _Lisez ceci dans d'autres langues:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) ## Data Structures diff --git a/README.id-ID.md b/README.id-ID.md index cb42feb196..b204f2a8f8 100644 --- a/README.id-ID.md +++ b/README.id-ID.md @@ -22,6 +22,7 @@ _Baca ini dalam bahasa yang lain:_ [_Italiana_](README.it-IT.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) _☝ Perhatikan bahwa proyek ini hanya dimaksudkan untuk tujuan pembelajaran dan riset, dan **tidak** dimaksudkan untuk digunakan sebagai produksi._ diff --git a/README.it-IT.md b/README.it-IT.md index b459ac87d1..6ac47fa5bc 100644 --- a/README.it-IT.md +++ b/README.it-IT.md @@ -21,6 +21,7 @@ _Leggilo in altre lingue:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) *☝ Si noti che questo progetto è destinato ad essere utilizzato solo per l'apprendimento e la ricerca e non è destinato ad essere utilizzato per il commercio.* diff --git a/README.ja-JP.md b/README.ja-JP.md index c90fa3e7e2..1a03f74ce8 100644 --- a/README.ja-JP.md +++ b/README.ja-JP.md @@ -24,6 +24,7 @@ _Read this in other languages:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) ## データ構造 diff --git a/README.ko-KR.md b/README.ko-KR.md index 040ac8a57d..75a4621aba 100644 --- a/README.ko-KR.md +++ b/README.ko-KR.md @@ -23,6 +23,7 @@ _Read this in other languages:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) ## 자료 구조 diff --git a/README.md b/README.md index 4f6cb03803..d949642e1c 100644 --- a/README.md +++ b/README.md @@ -25,6 +25,7 @@ _Read this in other languages:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) *☝ Note that this project is meant to be used for learning and researching purposes diff --git a/README.pl-PL.md b/README.pl-PL.md index 38f0bcea27..52ba75a5e4 100644 --- a/README.pl-PL.md +++ b/README.pl-PL.md @@ -25,6 +25,7 @@ _Read this in other languages:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) ## Struktury Danych diff --git a/README.pt-BR.md b/README.pt-BR.md index de9e316bc6..3218869a07 100644 --- a/README.pt-BR.md +++ b/README.pt-BR.md @@ -25,6 +25,7 @@ _Leia isto em outros idiomas:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) ## Estrutura de Dados diff --git a/README.ru-RU.md b/README.ru-RU.md index b6acf63a16..1b74695b79 100644 --- a/README.ru-RU.md +++ b/README.ru-RU.md @@ -22,6 +22,7 @@ _Читать на других языках:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) *☝ Замечание: этот репозиторий предназначен для учебно-исследовательских целей (**не** для использования в продакшн-системах).* diff --git a/README.tr-TR.md b/README.tr-TR.md index edbc0ebdaa..805bf7b431 100644 --- a/README.tr-TR.md +++ b/README.tr-TR.md @@ -22,6 +22,7 @@ _Read this in other languages:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) *☝ Not, bu proje araştırma ve öğrenme amacı ile yapılmış diff --git a/README.uk-UA.md b/README.uk-UA.md index b43da83ca6..dd129b2c3c 100644 --- a/README.uk-UA.md +++ b/README.uk-UA.md @@ -22,6 +22,7 @@ _Вивчення матеріалу на інших мовах:_ [_Italiana_](README.it-IT.md), [_Bahasa Indonesia_](README.id-ID.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) *☝ Зверніть увагу! Даний проект призначений лише для навчальних та дослідницьких цілей, і він **не** призначений для виробництва (продакшн).* diff --git a/README.vi-VN.md b/README.vi-VN.md new file mode 100644 index 0000000000..a5cbb72e07 --- /dev/null +++ b/README.vi-VN.md @@ -0,0 +1,328 @@ +# JavaScript Thuật Toán và Cấu Trúc Dữ Liệu + +[![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster) +[![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) + +Repository này bao gồm nhiều ví dụ thuật toán và cấu trúc dữ liệu phổ biến +dựa trên Javascript. + +Mối thuật toán và cấu trúc dữ liệu có README riêng với những lý giải và links +liên quan để đọc thêm (bao gồm cả những videos trên Youtube). + +_Đọc bằng ngôn ngữ khác:_ +[_English_](README.md), +[_简体中文_](README.zh-CN.md), +[_繁體中文_](README.zh-TW.md), +[_한국어_](README.ko-KR.md), +[_日本語_](README.ja-JP.md), +[_Polski_](README.pl-PL.md), +[_Français_](README.fr-FR.md), +[_Español_](README.es-ES.md), +[_Português_](README.pt-BR.md), +[_Русский_](README.ru-RU.md), +[_Türk_](README.tr-TR.md), +[_Italiana_](README.it-IT.md), +[_Bahasa Indonesia_](README.id-ID.md), +[_Українська_](README.uk-UA.md), +[_Arabic_](README.ar-AR.md) + +*☝ Dự án này chỉ được sử dụng cho mục đích học tập và nghiên cứu, **không** được dùng +cho mục đích thương mại.* + +## Cấu Trúc Dữ Liệu + +Cấu trúc dữ liệu là một cách cụ thể để tổ chức và lưu trữ dữ liệu trong máy tính để nó có thể +được truy cập và sửa đổi một cách hiệu quả. Chính xác hơn, cấu trúc dữ liệu là một tập hợp +các giá trị dữ liệu, các mối quan hệ giữa chúng và các hàm hoặc phép toán có thể được áp dụng +cho dữ liệu. + +`B` - Cơ bản, `A` - Nâng cao + +* `B` [Danh sách liên kết](src/data-structures/linked-list) +* `B` [Danh sách liên kết đôi](src/data-structures/doubly-linked-list) +* `B` [Hàng đợi](src/data-structures/queue) +* `B` [Ngăn xếp](src/data-structures/stack) +* `B` [Bảng băm](src/data-structures/hash-table) +* `B` [Đống](src/data-structures/heap) - max và min heap +* `B` [Hàng đợi ưu tiên](src/data-structures/priority-queue) +* `A` [Cây tiền tố](src/data-structures/trie) +* `A` [Cây](src/data-structures/tree) + * `A` [Cây tìm kiếm nhị phân](src/data-structures/tree/binary-search-tree) + * `A` [Cây AVL](src/data-structures/tree/avl-tree) + * `A` [Cây đỏ đen](src/data-structures/tree/red-black-tree) + * `A` [Cây phân đoạn](src/data-structures/tree/segment-tree) - với các ví dụ truy vấn phạm vi nhỏ nhất/lớn nhất/tổng + * `A` [CÂy Fenwick](src/data-structures/tree/fenwick-tree) (Cây chỉ mục nhị phân) +* `A` [Đồ thị](src/data-structures/graph) (có hướng và vô hướng) +* `A` [Tập hợp không giao nhau](src/data-structures/disjoint-set) +* `A` [Bộ lọc Bloom](src/data-structures/bloom-filter) + +## Thuật Toán + +Thuật toán là một đặc tả rõ ràng về cách giải quyết một lớp vấn đề. Nó là một tập hợp các +quy tắc xác định chính xác một chuỗi phép toán. + +`B` - Cơ bản, `A` - Nâng cao + +### Thuật toán theo chủ đề + +* **Toán** + * `B` [Thao tác bit](src/algorithms/math/bits) - đặt/lấy/cập nhật/xóa bit, nhân/chia 2, đổi dấu âm,... + * `B` [Giai thừa](src/algorithms/math/factorial) + * `B` [Số Fibonacci](src/algorithms/math/fibonacci) - cổ điển và dạng đóng + * `B` [Thừa số nguyên tố](src/algorithms/math/prime-factors) - tìm và đếm thừa số nguyên tố sử dụng định luật Hardy-Ramanujan's + * `B` [Kiểm tra tính nguyên tố](src/algorithms/math/primality-test) (phân chia thử nghiệm) + * `B` [Thuật toán Euclid](src/algorithms/math/euclidean-algorithm) - tính ước số chung lớn nhất (GCD) + * `B` [Bội số chung nhỏ nhất](src/algorithms/math/least-common-multiple) (LCM) + * `B` [Sàng số nguyên tố](src/algorithms/math/sieve-of-eratosthenes) - tìm tất cả các số nguyên tố trong bất kỳ phạm vi nhất định nào + * `B` [Xác định lũy thừa của 2](src/algorithms/math/is-power-of-two) - kiểm tra xem số có phải là lũy thừa của 2 hay không (thuật toán nguyên bản và theo bit) + * `B` [Tam giác Pascal](src/algorithms/math/pascal-triangle) + * `B` [Số phức](src/algorithms/math/complex-number) - số phức và các phép toán cơ bản với số phức + * `B` [Radian & độ](src/algorithms/math/radian) - chuyển đổi giữa đơn vị radian và độ + * `B` [Tính nhanh lũy thừa](src/algorithms/math/fast-powering) + * `B` [Phương pháp Horner's](src/algorithms/math/horner-method) - tính giá trị đa thức + * `B` [Ma trận](src/algorithms/math/matrix) - ma trận và các phép toán cơ bản (phép nhân, phép chuyển vị,...) + * `B` [Khoảng cách Euclid](src/algorithms/math/euclidean-distance) - khoảng cách giữa hai điểm/véc-tơ/ma trận + * `A` [Phân hoạch](src/algorithms/math/integer-partition) + * `A` [Căn bậc hai](src/algorithms/math/square-root) - phương pháp Newton + * `A` [Thuật cắt đường tròn - Lưu Huy](src/algorithms/math/liu-hui) - phép tính gần đúng số π dựa vào đa giác + * `A` [Biến đổi Fourier rời rạc](src/algorithms/math/fourier-transform) - phân giải tín hiệu thời gian thành các tần số tạo nên tín hiệu đó +* **Tập hợp** + * `B` [Tích Đề-các](src/algorithms/sets/cartesian-product) - tích của nhiều tập hợp + * `B` [Thuật toán xáo trộn](src/algorithms/sets/fisher-yates) - dãy hữu hạn hoán vị ngẫu nhiên + * `A` [Tập lũy thừa](src/algorithms/sets/power-set) - tập hợp chứa tất cả các tập con (theo bit và quay lui) + * `A` [Hoán vị](src/algorithms/sets/permutations) (lặp và không lặp) + * `A` [Tổ hợp](src/algorithms/sets/combinations) (lặp và không lặp) + * `A` [Dãy con chung dài nhất](src/algorithms/sets/longest-common-subsequence) (LCS) + * `A` [Dãy con chung tăng dần dài nhất](src/algorithms/sets/longest-increasing-subsequence) + * `A` [Dãy con chung ngắn nhất](src/algorithms/sets/shortest-common-supersequence) (SCS) + * `A` [Bài toán xếp ba lô](src/algorithms/sets/knapsack-problem) - dạng 0-1 và không bị chặn + * `A` [Mảng con lớn nhất](src/algorithms/sets/maximum-subarray) - phiên bản vét cạn và quy hoạch động (Kadane) + * `A` [Tổ hợp của tổng](src/algorithms/sets/combination-sum) - tìm tất cả các tổ hợp tạo thành tổng cụ thể +* **Chuỗi** + * `B` [Khoảng cách Hamming](src/algorithms/string/hamming-distance) - số các vị trí các ký hiệu khác nhau + * `A` [Khoảng cách Levenshtein](src/algorithms/string/levenshtein-distance) - khoảng cách thay đổi nhỏ nhất giữa hai chuỗi ký tự + * `A` [Thuật toán Knuth–Morris–Pratt](src/algorithms/string/knuth-morris-pratt) (thuật toán KMP) - tìm chuỗi con (đối sánh mẫu) + * `A` [Thuật toán Z](src/algorithms/string/z-algorithm) - tìm chuỗi con (đối sánh mẫu) + * `A` [Thuật toán Rabin Karp](src/algorithms/string/rabin-karp) - tìm chuỗi con + * `A` [Xâu con chung dài nhất](src/algorithms/string/longest-common-substring) + * `A` [Phối biểu thức chính quy](src/algorithms/string/regular-expression-matching) +* **Tìm kiếm** + * `B` [Tìm kiếm tuyến tính](src/algorithms/search/linear-search) + * `B` [Tìm kiếm nhảy](src/algorithms/search/jump-search) (tìm khối) - tìm kiếm trong mảng đã sắp xếp + * `B` [Tìm kiếm nhị phân](src/algorithms/search/binary-search) - tìm kiếm trong mảng đã sắp xếp + * `B` [Tìm kiếm nội suy ](src/algorithms/search/interpolation-search) - Tìm kiếm strong mảng có thứ tự được phân phối đồng nhất +* **Sắp xếp** + * `B` [Sắp xếp nổi bọt](src/algorithms/sorting/bubble-sort) + * `B` [Sắp xếp chọn](src/algorithms/sorting/selection-sort) + * `B` [Sắp xếp chèn](src/algorithms/sorting/insertion-sort) + * `B` [Sắp xếp vun đống](src/algorithms/sorting/heap-sort) + * `B` [Sắp xếp trộn](src/algorithms/sorting/merge-sort) + * `B` [Sắp xếp nhanh](src/algorithms/sorting/quick-sort) - Tại chỗ và không tại chỗ + * `B` [Shellsort](src/algorithms/sorting/shell-sort) + * `B` [Sắp xếp đếm](src/algorithms/sorting/counting-sort) + * `B` [Sắp xếp theo cơ số](src/algorithms/sorting/radix-sort) +* **Danh sách liên kết** + * `B` [Di chuyển chính hướng](src/algorithms/linked-list/traversal) + * `B` [Di chuyển ngược hướng](src/algorithms/linked-list/reverse-traversal) +* **Cây** + * `B` [Depth-First Search](src/algorithms/tree/depth-first-search) (DFS) + * `B` [Breadth-First Search](src/algorithms/tree/breadth-first-search) (BFS) +* **Đồ thị** + * `B` [Tìm kiếm theo chiều sâu](src/algorithms/graph/depth-first-search) (DFS) + * `B` [Tìm kiếm theo chiều rộng](src/algorithms/graph/breadth-first-search) (BFS) + * `B` [Thuật toán Kruskal](src/algorithms/graph/kruskal) - tìm cây bao trùm nhỏ nhất (MST) cho đồ thị vô hướng có trọng số + * `A` [Thuật toán Dijkstra Algorithm](src/algorithms/graph/dijkstra) - tìm những đường ngắn nhất từ một định tới tất cả các đỉnh + * `A` [Thuật toán Bellman-Ford](src/algorithms/graph/bellman-ford) - tìm những đường ngắn nhất từ một đỉnh tới tất cả các đỉnh của đồ thị + * `A` [Thuật toán Floyd-Warshall](src/algorithms/graph/floyd-warshall) - tìm những đường ngắn nhất giữa tất cả các cặp đỉnh + * `A` [Phát hiện vòng](src/algorithms/graph/detect-cycle) - cho cả đồ thị có hướng và vô hướng (dựa trên DFS và tập không giao) + * `A` [Thuật toán Prim](src/algorithms/graph/prim) - tìm cây bao trùm nhỏ nhất (MST) cho đồ thị vô hướng có trọng số + * `A` [Sắp xếp tô pô](src/algorithms/graph/topological-sorting) - phương pháp DFS + * `A` [Điểm khớp](src/algorithms/graph/articulation-points) - Thuật toán Tarjan (dựa trên DFS) + * `A` [Cầu nối](src/algorithms/graph/bridges) - dựa trên DFS + * `A` [Đường đi Euler và Chu trình Euler](src/algorithms/graph/eulerian-path) - thuật toán Fleury - đi qua các cạnh chỉ một lần duy nhất + * `A` [Chu trình Hamilton](src/algorithms/graph/hamiltonian-cycle) - đi qua các đỉnh chỉ một lần duy nhất + * `A` [Các thành phần kết nối chặt](src/algorithms/graph/strongly-connected-components) - Thuật toán Kosaraju + * `A` [Bài toán người bán hàng](src/algorithms/graph/travelling-salesman) - tuyến đường ngắn nhất có thể đến thăm từng thành phố và trở về thành phố gốc +* **Mật mã học** + * `B` [Băm đa thức](src/algorithms/cryptography/polynomial-hash) - lăn hàm băm dựa trên đa thức + * `B` [Mật mã hàng rào đường sắt](src/algorithms/cryptography/rail-fence-cipher) - một thuật toán mật mã chuyển vị để mã hóa thông điệp + * `B` [Mật mã Caesar](src/algorithms/cryptography/caesar-cipher) - mật mã chuyển vị đơn giản + * `B` [Mật mã Hill](src/algorithms/cryptography/hill-cipher) - mật mã chuyển vị đơn giản dựa trên đại số tuyến tính +* **Học máy** + * `B` [NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 hàm JS đơn giản minh họa cách máy tính thực sự có thể học (truyền thuận / truyền ngược) + * `B` [k-NN](src/algorithms/ml/knn) - thuật toán phân loại k láng giềng gần nhất + * `B` [k-Means](src/algorithms/ml/k-means) - thuật toán phân cụm k-Means +* **Khác** + * `B` [Tháp Hà Nội](src/algorithms/uncategorized/hanoi-tower) + * `B` [Xoay ma trận vuông](src/algorithms/uncategorized/square-matrix-rotation) - thuật toán tại chỗ + * `B` [Trò chơi nhảy](src/algorithms/uncategorized/jump-game) - ví dụ quay lui, quy hoạch động (từ trên xuống + từ dưới lên), dynamic programming (top-down + bottom-up) và tham lam + * `B` [Các đường đi đặc trưng duy nhất](src/algorithms/uncategorized/unique-paths) - ví dụ quay lui, quy hoạch động và tam giác Pascal + * `B` [Thu thập nước mưa](src/algorithms/uncategorized/rain-terraces) - bài toán bẫy nước mưa (phiên bản quy hoạch động và vét cạn) + * `B` [Cầu thang đệ quy](src/algorithms/uncategorized/recursive-staircase) - đếm số cách lên đến đỉnh (4 lời giải) + * `B` [Thời điểm tốt nhất để mua bán cổ phiếu ](src/algorithms/uncategorized/best-time-to-buy-sell-stocks) - ví dụ chia để trị và một đường chuyền + * `A` [Bài toán n quân hậu](src/algorithms/uncategorized/n-queens) + * `A` [Mã đi tuần](src/algorithms/uncategorized/knight-tour) + +### Thuật toán theo mẫu hình + +Mẫu hình thuật toán là một phương pháp hoặc cách tiếp cận chung làm cơ sở cho việc thiết kế một +lớp thuật toán. Nó là một sự trừu tượng cao hơn khái niệm về một thuật toán, cũng giống như +một thuật toán là một sự trừu tượng cao hơn một chương trình máy tính. + +* **Vét cạn** - xem xét tất cả các khả năng và chọn giải pháp tốt nhất + * `B` [Tìm kiếm tuyến tính](src/algorithms/search/linear-search) + * `B` [Thu thập nước mưa](src/algorithms/uncategorized/rain-terraces) - bài toán bẫy nước mưa + * `B` [Cầu thang đệ quy](src/algorithms/uncategorized/recursive-staircase) - đếm số cách lên đến đỉnh + * `A` [Mảng con lớn nhất](src/algorithms/sets/maximum-subarray) + * `A` [Bài toán người bán hàng](src/algorithms/graph/travelling-salesman) - tuyến đường ngắn nhất có thể đến thăm từng thành phố và trở về thành phố gốc + * `A` [Biến đổi Fourier rời rạc](src/algorithms/math/fourier-transform) - phân giải tín hiệu thời gian thành các tần số tạo nên tín hiệu đó +* **Tham lam** - chọn phương án tốt nhất vào thời điểm hiện tại mà không cần cân nhắc đến tương lai + * `B` [Trò chơi nhảy](src/algorithms/uncategorized/jump-game) + * `A` [Bài xếp ba lô không bị chặn](src/algorithms/sets/knapsack-problem) + * `A` [Thuật toán Dijkstra](src/algorithms/graph/dijkstra) - tìm những đường ngắn nhất từ một định tới tất cả các đỉnh + * `A` [Thuật toán Prim](src/algorithms/graph/prim) - tìm cây bao trùm nhỏ nhất (MST) cho đồ thị vô hướng có trọng số + * `A` [Thuật toán Kruskal](src/algorithms/graph/kruskal) - tìm cây bao trùm nhỏ nhất (MST) cho đồ thị vô hướng có trọng số +* **Chia để trị** - chia vấn đề thành các phần nhỏ hơn rồi giải quyết các phần đó + * `B` [Tìm kiếm nhị phân](src/algorithms/search/binary-search) + * `B` [Tháp Hà Nội](src/algorithms/uncategorized/hanoi-tower) + * `B` [Tam giác Pascal](src/algorithms/math/pascal-triangle) + * `B` [Thuật toán Euclid](src/algorithms/math/euclidean-algorithm) - tính ước số chung lớn nhất + * `B` [Sắp xếp trộn](src/algorithms/sorting/merge-sort) + * `B` [Sắp xếp nhanh](src/algorithms/sorting/quick-sort) + * `B` [Cây tìm kiếm theo chiều sâu](src/algorithms/tree/depth-first-search) (DFS) + * `B` [Đồ thị tìm kiếm theo chiều sâu](src/algorithms/graph/depth-first-search) (DFS) + * `B` [Ma trận](src/algorithms/math/matrix) - tạo và duyệt các ma trận có kích thước khác nhau + * `B` [Trò chơi nhảy](src/algorithms/uncategorized/jump-game) + * `B` [Tính nhanh lũy thừa](src/algorithms/math/fast-powering) + * `B` [Thời điểm tốt nhất để mua bán cổ phiếu](src/algorithms/uncategorized/best-time-to-buy-sell-stocks) - ví dụ chia để trị và một đường chuyền + * `A` [Hoán vị](src/algorithms/sets/permutations) (lặp và không lặp) + * `A` [Tổ hợp](src/algorithms/sets/combinations) (lặp và không lặp) +* **Quy hoạch động** - xây dựng một giải pháp bằng cách sử dụng các giải pháp phụ đã tìm thấy trước đây + * `B` [Số Fibonacci](src/algorithms/math/fibonacci) + * `B` [Trò chơi nhảy](src/algorithms/uncategorized/jump-game) + * `B` [Đường đi độc nhất](src/algorithms/uncategorized/unique-paths) + * `B` [Thu thập nước mưa](src/algorithms/uncategorized/rain-terraces) - bài toán bẫy nước mưa + * `B` [Cầu thang đệ quy](src/algorithms/uncategorized/recursive-staircase) - đếm số cách lên đến đỉnh + * `A` [Khoảng cách Levenshtein](src/algorithms/string/levenshtein-distance) - khoảng cách thay đổi nhỏ nhất giữa hai chuỗi ký tự + * `A` [Dãy con chung dài nhất](src/algorithms/sets/longest-common-subsequence) (LCS) + * `A` [Xâu con chung dài nhất](src/algorithms/string/longest-common-substring) + * `A` [Dãy con chung tăng dần dài nhất](src/algorithms/sets/longest-increasing-subsequence) + * `A` [Dãy con chung ngắn nhất](src/algorithms/sets/shortest-common-supersequence) + * `A` [Bài xếp ba lô dạng 0-1](src/algorithms/sets/knapsack-problem) + * `A` [Integer Partition](src/algorithms/math/integer-partition) + * `A` [Mảng con lớn nhất](src/algorithms/sets/maximum-subarray) + * `A` [Thuật toán Bellman-Ford](src/algorithms/graph/bellman-ford) - tìm những đường ngắn nhất từ một đỉnh tới tất cả các đỉnh của đồ thị + * `A` [Thuật toán Floyd-Warshall](src/algorithms/graph/floyd-warshall) - tìm những đường ngắn nhất giữa tất cả các cặp đỉnh + * `A` [Phối biểu thức chính quy](src/algorithms/string/regular-expression-matching) +* **Quay lui** - tương tự như vét cạn, cố tạo ra tất cả các giải pháp có thể, nhưng mỗi lần bạn tạo ra giải pháp tiếp theo, +bạn sẽ kiểm tra xem nó có thỏa mãn tất cả các điều kiện hay không và chỉ khi thỏa mãn mới tiếp tục tạo ra các giải pháp tiếp theo. +Nếu không, hãy quay lại và đi trên một con đường khác để tìm ra giải pháp. Thông thường, truyền DFS của không gian trạng thái được sử dụng. + * `B` [Trò chơi nhảy](src/algorithms/uncategorized/jump-game) + * `B` [Đường đi độc nhất](src/algorithms/uncategorized/unique-paths) + * `B` [Tập lũy thừa](src/algorithms/sets/power-set) - tập hợp chứa tất cả các tập con + * `A` [Chu trình Hamilton](src/algorithms/graph/hamiltonian-cycle) - đi qua các đỉnh một lần duy nhất + * `A` [Bài toán n quân hậu](src/algorithms/uncategorized/n-queens) + * `A` [Mã đi tuần](src/algorithms/uncategorized/knight-tour) + * `A` [Tổ hợp của tổng](src/algorithms/sets/combination-sum) - tìm tất cả các tổ hợp tạo thành tổng cụ thể +* **Branch & Bound** - ghi nhớ giải pháp chi với phí thấp nhất được tìm thấy ở mỗi giai đoạn của quá trình tìm kiếm quay lui, +sử dụng chi phí của giải pháp có chi phí thấp nhất được tìm thấy cho đến nay như một giới hạn dưới về chi phí của +một giải pháp ít chi phí nhân cho bài toán, để loại bỏ các giải pháp từng phần với chi phí lớn hơn giải pháp chi phí thấp nhất được tìm thấy cho đến nay. +Thông thường BFS duyệt kết hợp với duyệt DFS của cây không gian trạng thái đang được sử dụng. + +## Hướng dẫn sử dụng repository + +**Cài đặt tất cả các phụ thuộc** +``` +npm install +``` + +**Chạy ESLint** + +Bạn có thể muốn chạy nó để kiểm tra chất lượng code. + +``` +npm run lint +``` + +**Chạy tất cả các kiểm thử** +``` +npm test +``` + +**Chạy kiểm thử theo tên** +``` +npm test -- 'LinkedList' +``` + +**Sân chơi** + +Bạn có thể chơi với các cấu trúc dữ liệu và thuật toán trong tệp `./src/playground/playground.js` +và viết các bài kiểm thử cho nó ở `./src/playground/__test__/playground.test.js`. + +Sau đó, chỉ cần chạy lệnh sau để kiểm tra xem sân chơi của bạn có hoạt động như mong đợi hay không: + +``` +npm test -- 'playground' +``` + +## Thông tin hữu ích + +### Tham khảo + +[▶ Data Structures and Algorithms on YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) + +### Kí hiệu O lớn + +*Kí hiệu O lớn* được dùng để phân loại thuật toán theo thời gian chạy hoặc yêu cầu không gian gia tăng khi kích thước đầu vào gia tăng. +Trên biểu đồ bên dưới, bạn có thể tìm thấy hầu hết các thứ tự tăng trưởng phổ biến của các thuật toán được chỉ định trong ký hiệu O lớn. + +![Đồ thị O lớn](./assets/big-o-graph.png) + +Nguồn: [Big O Cheat Sheet](http://bigocheatsheet.com/). + +Dưới đây là danh sách một số ký hiệu O lớn thông dụng và so sánh với các kích thước khác nhau của dữ liệu đầu vào. + +| Kí hiệu O lớn | Tính toán cho 10 phần tử | Tính toán cho 100 phần tử | Tính toán cho 1000 phần tử | +| -------------- | ---------------------------- | ----------------------------- | ------------------------------- | +| **O(1)** | 1 | 1 | 1 | +| **O(log N)** | 3 | 6 | 9 | +| **O(N)** | 10 | 100 | 1000 | +| **O(N log N)** | 30 | 600 | 9000 | +| **O(N^2)** | 100 | 10000 | 1000000 | +| **O(2^N)** | 1024 | 1.26e+29 | 1.07e+301 | +| **O(N!)** | 3628800 | 9.3e+157 | 4.02e+2567 | + +### Độ phức tạp của các phép toán cấu trúc dữ liệu + +| Cấu trúc dữ liệu | Truy cập | Tìm kiếm | Chèn | Xóa | Bình luận | +| ----------------------- | :-------: | :-------: | :-------: | :-------: | :-------- | +| **Mảng** | 1 | n | n | n | | +| **Ngăn xếp** | n | n | 1 | 1 | | +| **Hàng đợi** | n | n | 1 | 1 | | +| **Danh sách liên kết** | n | n | 1 | n | | +| **Bảng băm** | - | n | n | n | Trong trường hợp hàm băm hoàn hảo, chi phí sẽ là O(1) | +| **Cây tìm kiếm nhị phân** | n | n | n | n | Trong trường hợp cây cân bằng, chi phí sẽ là O(log(n)) | +| **Cây B** | log(n) | log(n) | log(n) | log(n) | | +| **Cây đỏ đen** | log(n) | log(n) | log(n) | log(n) | | +| **Cây AVL** | log(n) | log(n) | log(n) | log(n) | | +| **Bộ lọc Bloom** | - | 1 | 1 | - | Có thể có kết quả dương tính giả trong khi tìm kiếm | + +### Độ phức tạp của các thuật toán sắp xếp mảng + +| Tên | Tốt nhất | Trung bình | Tệ nhất | Bộ nhớ | Ổn định | Bình luận | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Sắp xếp nổi bọt** | n | n2 | n2 | 1 | Có | | +| **Sắp xếp chèn** | n | n2 | n2 | 1 | Có | | +| **Sắp xếp chọn** | n2 | n2 | n2 | 1 | Không | | +| **Sắp xếp vun đống** | n log(n) | n log(n) | n log(n) | 1 | Không | | +| **Sắp xếp trộn** | n log(n) | n log(n) | n log(n) | n | Có | | +| **Sắp xếp nhanh** | n log(n) | n log(n) | n2 | log(n) | Không | Sắp xếp nhanh thường được thực hiện tại chỗ với không gian ngăn xếp O (log (n)) | +| **Shell sort** | n log(n) | phụ thuộc vào khoảng cách dãy | n (log(n))2 | 1 | Không | | +| **Sắp xếp đếm** | n + r | n + r | n + r | n + r | Có | r - số lớn nhất trong mảng | +| **Sắp xếp theo cơ số** | n * k | n * k | n * k | n + k | Có | k - độ dài của khóa dài nhất | + +## Project Backers + +> Bạn có thể hỗ trợ dự án này qua ❤️️ [GitHub](https://github.com/sponsors/trekhleb) hoặc ❤️️ [Patreon](https://www.patreon.com/trekhleb). + +[Những người đang ủng hộ dự án này](https://github.com/trekhleb/javascript-algorithms/blob/master/BACKERS.md) `∑ = 0` diff --git a/README.zh-CN.md b/README.zh-CN.md index c8d419bc16..cdef9cabea 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -22,6 +22,7 @@ _Read this in other languages:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) *注意：这个项目仅用于学习和研究，**不是**用于生产环境。* diff --git a/README.zh-TW.md b/README.zh-TW.md index e42aba445d..20d4381a2a 100644 --- a/README.zh-TW.md +++ b/README.zh-TW.md @@ -21,6 +21,7 @@ _Read this in other languages:_ [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), [_Arabic_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), [_Deutsch_](README.de-DE.md) ## 資料結構 From 61f2d192f6ff49ef8cff1049e8f5f51ea916d4fc Mon Sep 17 00:00:00 2001 From: Perry Date: Fri, 28 Jan 2022 03:53:42 +0800 Subject: [PATCH 030/135] Update breadthFirstSearch.js (#666) fix comment --- .../tree/breadth-first-search/breadthFirstSearch.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/algorithms/tree/breadth-first-search/breadthFirstSearch.js b/src/algorithms/tree/breadth-first-search/breadthFirstSearch.js index 503ec34f96..e1c7b70e14 100644 --- a/src/algorithms/tree/breadth-first-search/breadthFirstSearch.js +++ b/src/algorithms/tree/breadth-first-search/breadthFirstSearch.js @@ -3,9 +3,9 @@ import Queue from '../../../data-structures/queue/Queue'; /** * @typedef {Object} Callbacks * @property {function(node: BinaryTreeNode, child: BinaryTreeNode): boolean} allowTraversal - - * Determines whether DFS should traverse from the node to its child. - * @property {function(node: BinaryTreeNode)} enterNode - Called when DFS enters the node. - * @property {function(node: BinaryTreeNode)} leaveNode - Called when DFS leaves the node. + * Determines whether BFS should traverse from the node to its child. + * @property {function(node: BinaryTreeNode)} enterNode - Called when BFS enters the node. + * @property {function(node: BinaryTreeNode)} leaveNode - Called when BFS leaves the node. */ /** From ef50238ebad761e5c6aab09cea343181cc4ef4e7 Mon Sep 17 00:00:00 2001 From: Felipe Veronezi Peters <80159972+fveronezipeters@users.noreply.github.com> Date: Thu, 27 Jan 2022 16:54:40 -0300 Subject: [PATCH 031/135] Add pt-BR translation to sorting/selection-sort (#665) --- .../sorting/selection-sort/README.md | 3 +++ .../sorting/selection-sort/README.pt-BR.md | 20 +++++++++++++++++++ 2 files changed, 23 insertions(+) create mode 100644 src/algorithms/sorting/selection-sort/README.pt-BR.md diff --git a/src/algorithms/sorting/selection-sort/README.md b/src/algorithms/sorting/selection-sort/README.md index 6a708d2579..b584777a59 100644 --- a/src/algorithms/sorting/selection-sort/README.md +++ b/src/algorithms/sorting/selection-sort/README.md @@ -1,5 +1,8 @@ # Selection Sort +_Read this in other languages:_ +[Português brasileiro](README.pt-BR.md). + Selection sort is a sorting algorithm, specifically an in-place comparison sort. It has O(n2) time complexity, making it inefficient on large lists, and generally diff --git a/src/algorithms/sorting/selection-sort/README.pt-BR.md b/src/algorithms/sorting/selection-sort/README.pt-BR.md new file mode 100644 index 0000000000..c9c1afd6a1 --- /dev/null +++ b/src/algorithms/sorting/selection-sort/README.pt-BR.md @@ -0,0 +1,20 @@ +# Selection Sort + +_Leia isso em outras línguas:_ +[english](README.md). + +Selection Sort é um algoritmo de ordenação, mais especificamente um algoritmo de ordenação por comparação in-place (requer uma quantidade constante de espaço de memória adicional). Tem complexidade O(n²), tornando-o ineficiente em listas grandes e, geralmente, tem desempenho inferior ao similar Insertion Sort. O Selection Sort é conhecido por sua simplicidade e tem vantagens de desempenho sobre algoritmos mais complexos em certas situações, particularmente quando a memória auxiliar é limitada. + +![Visualização do algoritmo](https://upload.wikimedia.org/wikipedia/commons/b/b0/Selection_sort_animation.gif) + +![Visualização do algoritmo](https://upload.wikimedia.org/wikipedia/commons/9/94/Selection-Sort-Animation.gif) + +## Complexidade + +| Nome | Melhor | Médio | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :----------: | +| **Selection sort** | n2 | n2 | n2 | 1 | Não | | + +## Referências + +[Wikipedia](https://en.wikipedia.org/wiki/Selection_sort) From 8bd329d5e5a03b379ad0869128e10746ad2ab62d Mon Sep 17 00:00:00 2001 From: Felipe Veronezi Peters <80159972+fveronezipeters@users.noreply.github.com> Date: Thu, 27 Jan 2022 16:55:13 -0300 Subject: [PATCH 032/135] Add pt-BR translation to search/binary-search (#664) --- src/algorithms/search/binary-search/README.md | 3 +++ .../search/binary-search/README.pt-BR.md | 22 +++++++++++++++++++ 2 files changed, 25 insertions(+) create mode 100644 src/algorithms/search/binary-search/README.pt-BR.md diff --git a/src/algorithms/search/binary-search/README.md b/src/algorithms/search/binary-search/README.md index 2259b94406..ebf3e123e0 100644 --- a/src/algorithms/search/binary-search/README.md +++ b/src/algorithms/search/binary-search/README.md @@ -1,5 +1,8 @@ # Binary Search +_Read this in other languages:_ +[Português brasileiro](README.pt-BR.md). + In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search algorithm that finds the position of a target value within a sorted diff --git a/src/algorithms/search/binary-search/README.pt-BR.md b/src/algorithms/search/binary-search/README.pt-BR.md new file mode 100644 index 0000000000..14445a048e --- /dev/null +++ b/src/algorithms/search/binary-search/README.pt-BR.md @@ -0,0 +1,22 @@ +# Busca Binária + +_Leia isso em outras línguas:_ +[english](README.md). + +Em ciência da computação, busca binária, também conhecida como busca de meio-intervalo, busca logarítmica ou corte binário, é um algoritmo de pesquisa +que encontra a posição de um elemento alvo dentro de um +vetor ordenado. O algoritmo compara o elemento alvo com o elemento central do vetor; se eles são diferentes, a metade em que +o elemento alvo não pode estar é eliminada e a busca continua +na metade remanescente até que o elemento alvo seja encontrado. Se a busca +terminar com a metade remanescente vazia, o elemento alvo não está presente no vetor. + +![Busca Binária](https://upload.wikimedia.org/wikipedia/commons/8/83/Binary_Search_Depiction.svg) + +## Complexidade + +**Complexidade de Tempo**: `O(log(n))` - pois a área de busca é dividida por dois a cada iteração. + +## Referências + +- [Wikipedia](https://en.wikipedia.org/wiki/Binary_search_algorithm) +- [YouTube](https://www.youtube.com/watch?v=P3YID7liBug&index=29&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) From 47d5c8f744e44d4967bc9e0d295eb94495b73dbd Mon Sep 17 00:00:00 2001 From: Felipe Veronezi Peters <80159972+fveronezipeters@users.noreply.github.com> Date: Thu, 27 Jan 2022 16:56:02 -0300 Subject: [PATCH 033/135] Add pt-BR translation to search/linear-search (#663) --- src/algorithms/search/linear-search/README.md | 4 ++++ .../search/linear-search/README.pt-BR.md | 19 +++++++++++++++++++ 2 files changed, 23 insertions(+) create mode 100644 src/algorithms/search/linear-search/README.pt-BR.md diff --git a/src/algorithms/search/linear-search/README.md b/src/algorithms/search/linear-search/README.md index 942058785f..8feb422eb2 100644 --- a/src/algorithms/search/linear-search/README.md +++ b/src/algorithms/search/linear-search/README.md @@ -1,4 +1,8 @@ # Linear Search + +_Read this in other languages:_ +[Português brasileiro](README.pt-BR.md). + In computer science, linear search or sequential search is a method for finding a target value within a list. It sequentially checks each element of the list for the target value until a diff --git a/src/algorithms/search/linear-search/README.pt-BR.md b/src/algorithms/search/linear-search/README.pt-BR.md new file mode 100644 index 0000000000..e0af42f4ea --- /dev/null +++ b/src/algorithms/search/linear-search/README.pt-BR.md @@ -0,0 +1,19 @@ +# Busca Linear + +_Leia isso em outras línguas:_ +[english](README.md). + +Na Ciência da Computação, busca linear ou busca sequencial é um método para encontrar um elemento alvo em uma lista. +O algoritmo verifica sequencialmente cada elemento da lista procurando o elemento alvo até ele ser encontrado ou até ter verificado todos os elementos. +A Busca linear realiza no máximo `n` comparações, onde `n` é o tamanho da lista. + +![Busca Linear](https://www.tutorialspoint.com/data_structures_algorithms/images/linear_search.gif) + +## Complexidade + +**Complexidade de Tempo**: `O(n)` - pois no pior caso devemos verificar cada elemento exatamente uma vez. + +## Referências +- [Wikipedia](https://en.wikipedia.org/wiki/Linear_search) +- [TutorialsPoint](https://www.tutorialspoint.com/data_structures_algorithms/linear_search_algorithm.htm) +- [Youtube](https://www.youtube.com/watch?v=SGU9duLE30w) From 82680c03eeeb135c681897c0bfd824eb6e4a391a Mon Sep 17 00:00:00 2001 From: m11o <43847020+masahito1997@users.noreply.github.com> Date: Fri, 28 Jan 2022 04:56:33 +0900 Subject: [PATCH 034/135] fix small modification in README.ja-JP.md (#651) --- README.ja-JP.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.ja-JP.md b/README.ja-JP.md index 1a03f74ce8..e10bb94083 100644 --- a/README.ja-JP.md +++ b/README.ja-JP.md @@ -151,7 +151,7 @@ _Read this in other languages:_ ### Paradigmによるアルゴリズム アルゴリズムパラダイムは、あるクラスのアルゴリズムの設計の基礎をなす一般的な方法またはアプローチである。それは、アルゴリズムがコンピュータプログラムよりも高い抽象であるのと同様に、アルゴリズムの概念よりも高い抽象である。 -* **ブルートフォース** - べての可能性を見て最適なソリューションを選択する +* **ブルートフォース** - すべての可能性を見て最適なソリューションを選択する * `B` [線形探索](src/algorithms/search/linear-search) * `B` [レインテラス](src/algorithms/uncategorized/rain-terraces) - 雨水問題 * `B` [Recursive Staircase](src/algorithms/uncategorized/recursive-staircase) - 先頭に到達する方法の数を数えます From 677862540e12b2189f535ff237633c7e25f1afe0 Mon Sep 17 00:00:00 2001 From: MrBrain295 <66077254+MrBrain295@users.noreply.github.com> Date: Thu, 27 Jan 2022 13:57:33 -0600 Subject: [PATCH 035/135] Change Copy Write to 2021 (#652) Change Copy Write to 2021 from 2018. --- LICENSE | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/LICENSE b/LICENSE index e7885bd74b..0bad68016a 100644 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ The MIT License (MIT) -Copyright (c) 2018 Oleksii Trekhleb +Copyright (c) 2021 Oleksii Trekhleb Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal From 3fa19670f2c0dca1e2bf474c266712d9759e6fd9 Mon Sep 17 00:00:00 2001 From: DS Park Date: Fri, 28 Jan 2022 05:00:45 +0900 Subject: [PATCH 036/135] Add Korean translation. (#644) * Translate the Heap README to Korean. * Translate Priority Queue's README to Korean * Translate Kruskal Algorithm's README into Korean. * fix typo * Translate the Dijkstra README to Korean. Co-authored-by: cckn Co-authored-by: Oleksii Trekhleb --- src/algorithms/graph/dijkstra/README.ko-KR.md | 16 ++++++++++ src/algorithms/graph/dijkstra/README.md | 3 ++ src/algorithms/graph/kruskal/README.ko-KR.md | 29 +++++++++++++++++++ src/algorithms/graph/kruskal/README.md | 3 ++ src/data-structures/heap/README.ko-KR.md | 14 ++++++--- .../priority-queue/README.ko-KR.md | 12 ++++++++ src/data-structures/priority-queue/README.md | 3 +- 7 files changed, 75 insertions(+), 5 deletions(-) create mode 100644 src/algorithms/graph/dijkstra/README.ko-KR.md create mode 100644 src/algorithms/graph/kruskal/README.ko-KR.md create mode 100644 src/data-structures/priority-queue/README.ko-KR.md diff --git a/src/algorithms/graph/dijkstra/README.ko-KR.md b/src/algorithms/graph/dijkstra/README.ko-KR.md new file mode 100644 index 0000000000..e2595bbe23 --- /dev/null +++ b/src/algorithms/graph/dijkstra/README.ko-KR.md @@ -0,0 +1,16 @@ +# 다익스트라 알고리즘(Dijkstra's algorithm) + +다익스트라 알고리즘은 도로 네트워크 등을 나타낼 수 있는 그래프에서 노드 간의 최단 경로를 찾는 알고리즘입니다. + +이 알고리즘은 다양한 형태로 존재합니다. 다익스트라의 원래 형태는 두 노드 간의 최단 경로를 찾았지만, 더 일반적인 형태는 단일 노드를 "소스"노드로 수정하고 그래프의 소스에서 다른 모든 노드까지의 최단 경로를 찾아 최단 경로 트리(shortest-path tree)를 생성합니다. + +![Dijkstra](https://upload.wikimedia.org/wikipedia/commons/5/57/Dijkstra_Animation.gif) + +`a`와 `b` 사이의 최단 경로를 찾는 다익스트라 알고리즘입니다. +가장 낮은 거리를 가지며 방문하지 않은 정점(vertex)를 선택하고, 이를 통해 방문하지 않은 각 이웃까지의 거리를 계산하며, 더 작은 경우 이웃의 거리를 업데이트합니다. 이웃에 대한 작업을 마치면 방문한 것으로 표시(빨간색으로 변경)합니다. + +## 참조 + +- [Wikipedia](https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm) +- [On YouTube by Nathaniel Fan](https://www.youtube.com/watch?v=gdmfOwyQlcI&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [On YouTube by Tushar Roy](https://www.youtube.com/watch?v=lAXZGERcDf4&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/algorithms/graph/dijkstra/README.md b/src/algorithms/graph/dijkstra/README.md index e1c5002f18..d94e2a3cdf 100644 --- a/src/algorithms/graph/dijkstra/README.md +++ b/src/algorithms/graph/dijkstra/README.md @@ -1,5 +1,8 @@ # Dijkstra's Algorithm +_Read this in other languages:_ +[_한국어_](README.ko-KR.md) + Dijkstra's algorithm is an algorithm for finding the shortest paths between nodes in a graph, which may represent, for example, road networks. diff --git a/src/algorithms/graph/kruskal/README.ko-KR.md b/src/algorithms/graph/kruskal/README.ko-KR.md new file mode 100644 index 0000000000..eefb6a6756 --- /dev/null +++ b/src/algorithms/graph/kruskal/README.ko-KR.md @@ -0,0 +1,29 @@ +# 크루스칼 알고리즘 + +크루스칼 알고리즘은 두 트리를 연결하는 최소 간선 가중치를 찾는 최소 신장 트리 알고리즘입니다. +각 단계에서 비용을 더하는 연결된 가중 그래프에 대한 최소 신장 트리를 찾기 때문에 그래프 이론에서의 그리디 알고리즘입니다. 즉, 트리의 모든 간선의 총 가중치가 최소화되는 모든 정점을 포함하는 트리를 형성하는 간선의 하위 집합을 찾습니다. 그래프가 연결되어 있지 않으면 최소 신장 포레스트(연결된 각 구성 요소의 최소 신장 트리)를 찾습니다. + +![Kruskal Algorithm](https://upload.wikimedia.org/wikipedia/commons/5/5c/MST_kruskal_en.gif) + +![Kruskal Demo](https://upload.wikimedia.org/wikipedia/commons/b/bb/KruskalDemo.gif) + +유클리드 거리를 기반으로 한 크루스칼 알고리즘의 데모입니다. + +## 최소 신장 트리 + +**최소 신장 트리(MST)** 또는 최소 가중치 신장 트리는 연결된 간선 가중치 무 방향 그래프의 간선의 하위 집합으로, 사이클 없이 가능한 최소 총 간선 가중치로 모든 정점을 연결합니다. 즉, 간선 가중치의 합이 가능한 작은 신장 트리입니다. 보다 일반적으로, 간선-가중치 비방향 그래프(꼭 연결되지는 않음)에는 연결된 구성 요소에 대한 최소 신장 트리의 결합인 최소 신장 포레스트(minimum spanning forest)가 있습니다. + +![Minimum Spanning Tree](https://upload.wikimedia.org/wikipedia/commons/d/d2/Minimum_spanning_tree.svg) + +평면 그래프와 해당 최소 신장 트리입니다. 각 간선은 가중치로 레이블이 지정되며, 이 값은 길이에 거의 비례합니다. + +![Minimum Spanning Tree](https://upload.wikimedia.org/wikipedia/commons/c/c9/Multiple_minimum_spanning_trees.svg) + +이 그림은 그래프에 최소 신장 트리가 두 개 이상 있을 수 있음을 보여 줍니다. 그림에서 그래프 아래의 두 트리는 주어진 그래프에서 최소 신장 트리가 될 수 있는 두 가지 경우입니다. + +## 참조 + +- [Minimum Spanning Tree on Wikipedia](https://en.wikipedia.org/wiki/Minimum_spanning_tree) +- [Kruskal's Algorithm on Wikipedia](https://en.wikipedia.org/wiki/Kruskal%27s_algorithm) +- [Kruskal's Algorithm on YouTube by Tushar Roy](https://www.youtube.com/watch?v=fAuF0EuZVCk&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [Kruskal's Algorithm on YouTube by Michael Sambol](https://www.youtube.com/watch?v=71UQH7Pr9kU&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/algorithms/graph/kruskal/README.md b/src/algorithms/graph/kruskal/README.md index eb8a0ebf42..1a71390e2f 100644 --- a/src/algorithms/graph/kruskal/README.md +++ b/src/algorithms/graph/kruskal/README.md @@ -1,5 +1,8 @@ # Kruskal's Algorithm +_Read this in other languages:_ +[_한국어_](README.ko-KR.md) + Kruskal's algorithm is a minimum-spanning-tree algorithm which finds an edge of the least possible weight that connects any two trees in the forest. It is a greedy algorithm in graph theory diff --git a/src/data-structures/heap/README.ko-KR.md b/src/data-structures/heap/README.ko-KR.md index 1f8c4932e4..ace702da9e 100644 --- a/src/data-structures/heap/README.ko-KR.md +++ b/src/data-structures/heap/README.ko-KR.md @@ -1,13 +1,19 @@ # 힙 (자료구조) -컴퓨터 사이언스에서 힙은 특수한 트리구조의 데이터 구조로 다음과 같은 특성을 갖고 있습니다. +컴퓨터 과학에서의 **힙**은 아래에 설명된 힙 속성을 만족하는 전문화된 트리 기반 데이터구조입니다. - *최소 힙* 에서는 만약 `P`가 `C`의 부모노드일 경우, `P` 키(값)는 `C` 키보다 작거나 동일합니다. +*최소 힙*에서 `P`가 `C`의 상위 노드라면 `P`의 키(값)는 `C`의 키보다 작거나 같습니다. ![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) - - *최대 힙* 에서 `P` 키는 `C` 키보다 크거나 동일합니다. +*최대 힙*에서 `P`의 키는 `C`의 키보다 크거나 같습니다. ![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) - - 힙의 "최상단" 노드에는 부모노드가 존재하지 않으며, 루트노드라고 부릅니다. +상위 노드가 없는 힙의 "상단"에 있는 노드를 루트 노드라고 합니다. + +## 참조 + +- [Wikipedia]() +- [YouTube](https://www.youtube.com/watch?v=t0Cq6tVNRBA&index=5&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) + diff --git a/src/data-structures/priority-queue/README.ko-KR.md b/src/data-structures/priority-queue/README.ko-KR.md new file mode 100644 index 0000000000..50a064d05a --- /dev/null +++ b/src/data-structures/priority-queue/README.ko-KR.md @@ -0,0 +1,12 @@ +# 우선 순위 큐 + +컴퓨터 과학에서 **우선 순위 큐**는 일반 큐 또는 스택 데이터 구조와 같은 추상 데이터 유형이지만, 여기서 각 요소에는 "우선 순위"가 연결됩니다. +우선 순위 큐에서는 우선 순위가 높은 요소가 낮은 요소 앞에 제공됩니다. 두 요소가 동일한 우선 순위를 가질 경우 큐의 순서에 따라 제공됩니다. + +우선 순위 큐는 종종 힙을 사용하여 구현되지만 개념적으로는 힙과 구별됩니다. 우선 순위 대기열은 "리스트(list)" 또는 "맵(map)"과 같은 추상적인 개념입니다; +리스트가 링크드 리스트나 배열로 구현될 수 있는 것처럼 우선 순위 큐는 힙이나 정렬되지 않은 배열과 같은 다양한 다른 방법으로 구현될 수 있습니다. + +## 참조 + +- [Wikipedia](https://en.wikipedia.org/wiki/Priority_queue) +- [YouTube](https://www.youtube.com/watch?v=wptevk0bshY&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8&index=6) diff --git a/src/data-structures/priority-queue/README.md b/src/data-structures/priority-queue/README.md index a487678ad8..eb5ec72985 100644 --- a/src/data-structures/priority-queue/README.md +++ b/src/data-structures/priority-queue/README.md @@ -5,7 +5,8 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), -[_Português_](README.pt-BR.md) +[_Português_](README.pt-BR.md), +[_한국어_](README.ko-KR.md) In computer science, a **priority queue** is an abstract data type which is like a regular queue or stack data structure, but where From cadee1405310b779e965738ff900d2864f40cc17 Mon Sep 17 00:00:00 2001 From: TheJang <33803975+jangwonyoon@users.noreply.github.com> Date: Fri, 28 Jan 2022 05:01:42 +0900 Subject: [PATCH 037/135] Fix: spacing word (#639) --- README.ko-KR.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.ko-KR.md b/README.ko-KR.md index 75a4621aba..b48c43aa56 100644 --- a/README.ko-KR.md +++ b/README.ko-KR.md @@ -5,7 +5,7 @@ 이 저장소에는 많이 알려진 알고리즘 및 자료 구조의 Javascript 기반 예제를 담고 있습니다. -각 알고리즘과 자료 구조에 대해 연관되어있는 설명이 README에 작성되어 있으며, +각 알고리즘과 자료 구조에 대해 연관되어 있는 설명이 README에 작성되어 있으며, 링크를 통해 더 자세한 설명을 만날 수 있습니다. (관련된 YouTube 영상도 포함). _Read this in other languages:_ From 3038c77a8c59269d300a15b5925c22b7ec47a6f3 Mon Sep 17 00:00:00 2001 From: 0xFF <45086516+bqio@users.noreply.github.com> Date: Thu, 27 Jan 2022 23:02:10 +0300 Subject: [PATCH 038/135] fix error (#637) --- README.ru-RU.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.ru-RU.md b/README.ru-RU.md index 1b74695b79..541e1d2703 100644 --- a/README.ru-RU.md +++ b/README.ru-RU.md @@ -37,7 +37,7 @@ _Читать на других языках:_ * `B` [Двунаправленный связный список](src/data-structures/doubly-linked-list) * `B` [Очередь](src/data-structures/queue) * `B` [Стек](src/data-structures/stack) -* `B` [Хеш-табица](src/data-structures/hash-table) +* `B` [Хеш-таблица](src/data-structures/hash-table) * `B` [Куча](src/data-structures/heap) — максимальная и минимальная версии * `B` [Очередь с приоритетом](src/data-structures/priority-queue) * `A` [Префиксное дерево](src/data-structures/trie) From 8d0f300aa5d54c3dbd9da30097a14646acb2fffb Mon Sep 17 00:00:00 2001 From: Antonio Gonzalez Capel <47994122+DoxtorDoz@users.noreply.github.com> Date: Thu, 27 Jan 2022 21:03:12 +0100 Subject: [PATCH 039/135] Update README.es-ES.md (#628) Co-authored-by: Oleksii Trekhleb --- src/data-structures/linked-list/README.es-ES.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/data-structures/linked-list/README.es-ES.md b/src/data-structures/linked-list/README.es-ES.md index 0a9ec6b3a2..62cda8d14a 100644 --- a/src/data-structures/linked-list/README.es-ES.md +++ b/src/data-structures/linked-list/README.es-ES.md @@ -7,10 +7,10 @@ _Lee este artículo en otros idiomas:_ [_Português_](README.pt-BR.md) [_English_](README.md) -En ciencias de la computación una **lista enlazada** es una colección lineal -de elementos de datos, en los cuales el orden lineal no es dado por -su posición física en memoria. En cambio, cada -elemento apunta al siguiente. Es una estructura de datos +En ciencias de la computaciòn una **lista enlazada** es una coleccion linear +de elementos de datos, en los cuales el orden linear no es dado por +su posciòn fisica en memoria. En cambio, cada +elemento señala al siguiente. Es una estructura de datos que consiste en un grupo de nodos los cuales juntos representan una secuencia. En su forma más sencilla, cada nodo está compuesto de datos y una referencia (en otras palabras, From 0006350cc76f6dc8b1245f625bc268cea8feb447 Mon Sep 17 00:00:00 2001 From: Lucas De Angelis Date: Thu, 27 Jan 2022 21:03:48 +0100 Subject: [PATCH 040/135] French translation for module "Graph" (#634) The first part of the translation is a direct translation of the english part. The second is too, although it wasn't done by me but by wikipedia contributors (the second paragraph of the English wikipedia introduction is exactly the same as the first paragraph of the French wikipedia "Description") Add french version redirection on the README.md. The french version is placed before the portuguese version to have a cleaner diff (no trailing commas to edit) --- src/data-structures/graph/README.fr-FR.md | 23 +++++++++++++++++++++++ src/data-structures/graph/README.md | 1 + 2 files changed, 24 insertions(+) create mode 100644 src/data-structures/graph/README.fr-FR.md diff --git a/src/data-structures/graph/README.fr-FR.md b/src/data-structures/graph/README.fr-FR.md new file mode 100644 index 0000000000..48d3ccd766 --- /dev/null +++ b/src/data-structures/graph/README.fr-FR.md @@ -0,0 +1,23 @@ +# Graph + +En informatique, un **graphe** est une structure de +données abstraite qui implémente les concepts de +graphe orienté et de graphe non-orienté venant +des mathématiques, plus précisément du domaine de +la théorie des graphes. + +La structure de données abstraite de graphe consiste +en un ensemble fini, éventuellement mutable de sommets +ou nœuds ou points, avec un ensemble de paires ordonnées +ou non de tels éléments. Ces paires sont des arêtes, arcs +non orientés, ou lignes pour un graphe non orienté, et +flèches, arêtes orientées , arcs, ou lignes orientées +dans le cas orienté. Les sommets peuvent faire partie +de la structure, ou être des entités extérieures, +représentées par des entiers ou des références. + +![Graph](https://www.tutorialspoint.com/data_structures_algorithms/images/graph.jpg) + +## References + +- [Wikipedia](https://fr.wikipedia.org/wiki/Graphe_(type_abstrait)) \ No newline at end of file diff --git a/src/data-structures/graph/README.md b/src/data-structures/graph/README.md index 98acf43616..2c8602d94a 100644 --- a/src/data-structures/graph/README.md +++ b/src/data-structures/graph/README.md @@ -3,6 +3,7 @@ _Read this in other languages:_ [_简体中文_](README.zh-CN.md), [_Русский_](README.ru-RU.md), +[_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md) In computer science, a **graph** is an abstract data type From 294eb3c53f3f8d13b7ce4cbd1ebcd90c9688d6f0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=EC=84=9C=EB=8B=A4=EC=86=94?= <30617570+dasol-seo@users.noreply.github.com> Date: Fri, 28 Jan 2022 05:04:41 +0900 Subject: [PATCH 041/135] Add merge sort document in Korean (#632) * Add merge sort doc in Korean * Update README.md --- .../sorting/merge-sort/README.ko-KR.md | 22 +++++++++++++++ src/algorithms/sorting/merge-sort/README.md | 27 ++++++++++--------- 2 files changed, 37 insertions(+), 12 deletions(-) create mode 100644 src/algorithms/sorting/merge-sort/README.ko-KR.md diff --git a/src/algorithms/sorting/merge-sort/README.ko-KR.md b/src/algorithms/sorting/merge-sort/README.ko-KR.md new file mode 100644 index 0000000000..5447fd217e --- /dev/null +++ b/src/algorithms/sorting/merge-sort/README.ko-KR.md @@ -0,0 +1,22 @@ +# 병합 정렬 + +컴퓨터과학에서, 병합 정렬(일반적으로 mergesort라고 쓰는)은 효율적이고, 범용적인, 비교 기반의 정렬 알고리즘입니다. 대부분의 구현들은 안정적인 정렬을 만들어내며, 이는 정렬된 산출물에서 동일한 요소들의 입력 순서가 유지된다는 것을 의미합니다. 병합 정렬은 1945년에 John von Neumann이 만든 분할 정복 알고리즘입니다. + +병합 정렬의 예시입니다. 우선 리스트를 가장 작은 단위로 나누고(한 개의 요소), 두 개의 인접한 리스트를 정렬하고 병합하기 위해 각 요소와 인접한 리스트를 비교합니다. 마지막으로 모든 요소들은 정렬되고 병합됩니다. + +![Merge Sort](https://upload.wikimedia.org/wikipedia/commons/c/cc/Merge-sort-example-300px.gif) + +재귀적인 병합 정렬 알고리즘은 7개의 정수값을 가진 배열을 정렬하는데 사용됩니다. 다음은 합병 정렬을 모방하기 위해 사람이 취하는 단계입니다.(하향식) + +![Merge Sort](https://upload.wikimedia.org/wikipedia/commons/e/e6/Merge_sort_algorithm_diagram.svg) + +## 복잡도 + +| Name | Best | Average | Worst | Memory | Stable | Comments | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Merge sort** | n log(n) | n log(n) | n log(n) | n | Yes | | + +## 참조 + +- [Wikipedia](https://en.wikipedia.org/wiki/Merge_sort) +- [YouTube](https://www.youtube.com/watch?v=KF2j-9iSf4Q&index=27&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/algorithms/sorting/merge-sort/README.md b/src/algorithms/sorting/merge-sort/README.md index f4ed837a22..b4d76b90a6 100644 --- a/src/algorithms/sorting/merge-sort/README.md +++ b/src/algorithms/sorting/merge-sort/README.md @@ -1,23 +1,26 @@ # Merge Sort -In computer science, merge sort (also commonly spelled -mergesort) is an efficient, general-purpose, -comparison-based sorting algorithm. Most implementations -produce a stable sort, which means that the implementation -preserves the input order of equal elements in the sorted -output. Mergesort is a divide and conquer algorithm that +_Read this in other languages:_ +[_한국어_](README.ko-KR.md) + +In computer science, merge sort (also commonly spelled +mergesort) is an efficient, general-purpose, +comparison-based sorting algorithm. Most implementations +produce a stable sort, which means that the implementation +preserves the input order of equal elements in the sorted +output. Mergesort is a divide and conquer algorithm that was invented by John von Neumann in 1945. -An example of merge sort. First divide the list into -the smallest unit (1 element), then compare each -element with the adjacent list to sort and merge the -two adjacent lists. Finally all the elements are sorted +An example of merge sort. First divide the list into +the smallest unit (1 element), then compare each +element with the adjacent list to sort and merge the +two adjacent lists. Finally all the elements are sorted and merged. ![Merge Sort](https://upload.wikimedia.org/wikipedia/commons/c/cc/Merge-sort-example-300px.gif) -A recursive merge sort algorithm used to sort an array of 7 -integer values. These are the steps a human would take to +A recursive merge sort algorithm used to sort an array of 7 +integer values. These are the steps a human would take to emulate merge sort (top-down). ![Merge Sort](https://upload.wikimedia.org/wikipedia/commons/e/e6/Merge_sort_algorithm_diagram.svg) From 819f38f7926866a141198f0feff61f3ee4fc6e9d Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Thu, 27 Jan 2022 21:05:22 +0100 Subject: [PATCH 042/135] Some text fixes. --- .editorconfig | 2 +- LICENSE | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.editorconfig b/.editorconfig index c658e4879e..086af2d930 100644 --- a/.editorconfig +++ b/.editorconfig @@ -8,4 +8,4 @@ charset = utf-8 indent_style = space indent_size = 2 trim_trailing_whitespace = true -quote_type = single \ No newline at end of file +quote_type = single diff --git a/LICENSE b/LICENSE index 0bad68016a..e7885bd74b 100644 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ The MIT License (MIT) -Copyright (c) 2021 Oleksii Trekhleb +Copyright (c) 2018 Oleksii Trekhleb Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal From 82f0b5edf04fba49d5fcff898e50142cac9d67a9 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 4 Feb 2022 08:56:15 +0100 Subject: [PATCH 043/135] Add a Divide and Conquer version of the MaxSubArray problem. --- .npmrc | 2 +- .nvmrc | 1 + README.md | 3 ++ .../sets/maximum-subarray/README.md | 16 ++++++--- .../__test__/bfMaximumSubarray.test.js | 2 +- .../__test__/dcMaximumSubarraySum.test.js | 16 +++++++++ .../__test__/dpMaximumSubarray.test.js | 2 +- .../maximum-subarray/dcMaximumSubarraySum.js | 33 +++++++++++++++++++ 8 files changed, 67 insertions(+), 8 deletions(-) create mode 100644 .nvmrc create mode 100644 src/algorithms/sets/maximum-subarray/__test__/dcMaximumSubarraySum.test.js create mode 100644 src/algorithms/sets/maximum-subarray/dcMaximumSubarraySum.js diff --git a/.npmrc b/.npmrc index c0c80ba447..b6f27f1359 100644 --- a/.npmrc +++ b/.npmrc @@ -1 +1 @@ -engine-strict=false +engine-strict=true diff --git a/.nvmrc b/.nvmrc new file mode 100644 index 0000000000..958b5a36e1 --- /dev/null +++ b/.nvmrc @@ -0,0 +1 @@ +v14 diff --git a/README.md b/README.md index d949642e1c..6adff75da3 100644 --- a/README.md +++ b/README.md @@ -207,6 +207,7 @@ algorithm is an abstraction higher than a computer program. * `B` [Best Time To Buy Sell Stocks](src/algorithms/uncategorized/best-time-to-buy-sell-stocks) - divide and conquer and one-pass examples * `A` [Permutations](src/algorithms/sets/permutations) (with and without repetitions) * `A` [Combinations](src/algorithms/sets/combinations) (with and without repetitions) + * `A` [Maximum Subarray](src/algorithms/sets/maximum-subarray) * **Dynamic Programming** - build up a solution using previously found sub-solutions * `B` [Fibonacci Number](src/algorithms/math/fibonacci) * `B` [Jump Game](src/algorithms/uncategorized/jump-game) @@ -278,6 +279,8 @@ rm -rf ./node_modules npm i ``` +Also make sure that you're using a correct Node version (`>=14.16.0`). If you're using [nvm](https://github.com/nvm-sh/nvm) for Node version management you may run `nvm use` from the root folder of the project and the correct version will be picked up. + **Playground** You may play with data-structures and algorithms in `./src/playground/playground.js` file and write diff --git a/src/algorithms/sets/maximum-subarray/README.md b/src/algorithms/sets/maximum-subarray/README.md index c152f54edc..c65c502640 100644 --- a/src/algorithms/sets/maximum-subarray/README.md +++ b/src/algorithms/sets/maximum-subarray/README.md @@ -1,7 +1,7 @@ # Maximum subarray problem -The maximum subarray problem is the task of finding the contiguous -subarray within a one-dimensional array, `a[1...n]`, of numbers +The maximum subarray problem is the task of finding the contiguous +subarray within a one-dimensional array, `a[1...n]`, of numbers which has the largest sum, where, ![Maximum subarray](https://wikimedia.org/api/rest_v1/media/math/render/svg/e8960f093107b71b21827e726e2bad8b023779b2) @@ -10,11 +10,17 @@ which has the largest sum, where, ## Example -The list usually contains both positive and negative numbers along -with `0`. For example, for the array of -values `−2, 1, −3, 4, −1, 2, 1, −5, 4` the contiguous subarray +The list usually contains both positive and negative numbers along +with `0`. For example, for the array of +values `−2, 1, −3, 4, −1, 2, 1, −5, 4` the contiguous subarray with the largest sum is `4, −1, 2, 1`, with sum `6`. +## Solutions + +- Brute Force solution `O(n^2)`: [bfMaximumSubarray.js](./bfMaximumSubarray.js) +- Divide and Conquer solution `O(n^2)`: [dcMaximumSubarraySum.js](./dcMaximumSubarraySum.js) +- Dynamic Programming solution `O(n)`: [dpMaximumSubarray.js](./dpMaximumSubarray.js) + ## References - [Wikipedia](https://en.wikipedia.org/wiki/Maximum_subarray_problem) diff --git a/src/algorithms/sets/maximum-subarray/__test__/bfMaximumSubarray.test.js b/src/algorithms/sets/maximum-subarray/__test__/bfMaximumSubarray.test.js index e0faf0cbfe..6bff427110 100644 --- a/src/algorithms/sets/maximum-subarray/__test__/bfMaximumSubarray.test.js +++ b/src/algorithms/sets/maximum-subarray/__test__/bfMaximumSubarray.test.js @@ -1,7 +1,7 @@ import bfMaximumSubarray from '../bfMaximumSubarray'; describe('bfMaximumSubarray', () => { - it('should find maximum subarray using brute force algorithm', () => { + it('should find maximum subarray using the brute force algorithm', () => { expect(bfMaximumSubarray([])).toEqual([]); expect(bfMaximumSubarray([0, 0])).toEqual([0]); expect(bfMaximumSubarray([0, 0, 1])).toEqual([0, 0, 1]); diff --git a/src/algorithms/sets/maximum-subarray/__test__/dcMaximumSubarraySum.test.js b/src/algorithms/sets/maximum-subarray/__test__/dcMaximumSubarraySum.test.js new file mode 100644 index 0000000000..3b3ace08d3 --- /dev/null +++ b/src/algorithms/sets/maximum-subarray/__test__/dcMaximumSubarraySum.test.js @@ -0,0 +1,16 @@ +import dcMaximumSubarray from '../dcMaximumSubarraySum'; + +describe('dcMaximumSubarraySum', () => { + it('should find maximum subarray sum using the divide and conquer algorithm', () => { + expect(dcMaximumSubarray([])).toEqual(-Infinity); + expect(dcMaximumSubarray([0, 0])).toEqual(0); + expect(dcMaximumSubarray([0, 0, 1])).toEqual(1); + expect(dcMaximumSubarray([0, 0, 1, 2])).toEqual(3); + expect(dcMaximumSubarray([0, 0, -1, 2])).toEqual(2); + expect(dcMaximumSubarray([-1, -2, -3, -4, -5])).toEqual(-1); + expect(dcMaximumSubarray([1, 2, 3, 2, 3, 4, 5])).toEqual(20); + expect(dcMaximumSubarray([-2, 1, -3, 4, -1, 2, 1, -5, 4])).toEqual(6); + expect(dcMaximumSubarray([-2, -3, 4, -1, -2, 1, 5, -3])).toEqual(7); + expect(dcMaximumSubarray([1, -3, 2, -5, 7, 6, -1, 4, 11, -23])).toEqual(27); + }); +}); diff --git a/src/algorithms/sets/maximum-subarray/__test__/dpMaximumSubarray.test.js b/src/algorithms/sets/maximum-subarray/__test__/dpMaximumSubarray.test.js index d8cf39d8e6..c00727cc66 100644 --- a/src/algorithms/sets/maximum-subarray/__test__/dpMaximumSubarray.test.js +++ b/src/algorithms/sets/maximum-subarray/__test__/dpMaximumSubarray.test.js @@ -1,7 +1,7 @@ import dpMaximumSubarray from '../dpMaximumSubarray'; describe('dpMaximumSubarray', () => { - it('should find maximum subarray using dynamic programming algorithm', () => { + it('should find maximum subarray using the dynamic programming algorithm', () => { expect(dpMaximumSubarray([])).toEqual([]); expect(dpMaximumSubarray([0, 0])).toEqual([0]); expect(dpMaximumSubarray([0, 0, 1])).toEqual([0, 0, 1]); diff --git a/src/algorithms/sets/maximum-subarray/dcMaximumSubarraySum.js b/src/algorithms/sets/maximum-subarray/dcMaximumSubarraySum.js new file mode 100644 index 0000000000..3ed9ab3ee7 --- /dev/null +++ b/src/algorithms/sets/maximum-subarray/dcMaximumSubarraySum.js @@ -0,0 +1,33 @@ +/** + * Divide and Conquer solution. + * Complexity: O(n^2) in case if no memoization applied + * + * @param {Number[]} inputArray + * @return {Number[]} + */ +export default function dcMaximumSubarraySum(inputArray) { + /** + * We are going through the inputArray array and for each element we have two options: + * - to pick + * - not to pick + * + * Also keep in mind, that the maximum sub-array must be contiguous. It means if we picked + * the element, we need to continue picking the next elements or stop counting the max sum. + * + * @param {number} elementIndex - the index of the element we're deciding to pick or not + * @param {boolean} mustPick - to pick or not to pick the element + * @returns {number} - maximum subarray sum that we'll get + */ + function solveRecursively(elementIndex, mustPick) { + if (elementIndex >= inputArray.length) { + return mustPick ? 0 : -Infinity; + } + return Math.max( + // Option #1: Pick the current element, and continue picking next one. + inputArray[elementIndex] + solveRecursively(elementIndex + 1, true), + // Option #2: Don't pick the current element. + mustPick ? 0 : solveRecursively(elementIndex + 1, false), + ); + } + return solveRecursively(0, false); +} From 7a37a6b86e76ee22bf93ffd9d01d7acfd79d0714 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 4 Feb 2022 08:57:25 +0100 Subject: [PATCH 044/135] Add more followup links for Max Subarray problem. --- src/algorithms/sets/maximum-subarray/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/src/algorithms/sets/maximum-subarray/README.md b/src/algorithms/sets/maximum-subarray/README.md index c65c502640..f06300f500 100644 --- a/src/algorithms/sets/maximum-subarray/README.md +++ b/src/algorithms/sets/maximum-subarray/README.md @@ -26,3 +26,4 @@ with the largest sum is `4, −1, 2, 1`, with sum `6`. - [Wikipedia](https://en.wikipedia.org/wiki/Maximum_subarray_problem) - [YouTube](https://www.youtube.com/watch?v=ohHWQf1HDfU&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) - [GeeksForGeeks](https://www.geeksforgeeks.org/largest-sum-contiguous-subarray/) +- [LeetCode](https://leetcode.com/explore/interview/card/top-interview-questions-easy/97/dynamic-programming/566/discuss/1595195/C++Python-7-Simple-Solutions-w-Explanation-or-Brute-Force-+-DP-+-Kadane-+-Divide-and-Conquer) From c89388445e11b4776c40c92e0907f1ed1792d03c Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Tue, 1 Mar 2022 18:26:25 +0100 Subject: [PATCH 045/135] Help Ukraine --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 6adff75da3..1420e65e5b 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,9 @@ # JavaScript Algorithms and Data Structures +> 🇺🇦 UKRAINE IS BEING ATTACKED BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. +> - Help Ukraine via [National Bank of Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) +> - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate/) fund + [![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster) [![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) From b2427d0e18b97f83ecc30311b83d699f03b7d79a Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Tue, 1 Mar 2022 18:31:32 +0100 Subject: [PATCH 046/135] Help Ukraine --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1420e65e5b..16e517b514 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # JavaScript Algorithms and Data Structures -> 🇺🇦 UKRAINE IS BEING ATTACKED BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. +> 🇺🇦 UKRAINE [IS BEING ATTACKED](https://twitter.com/MFA_Ukraine) BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. > - Help Ukraine via [National Bank of Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) > - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate/) fund From cd34b52e22b35358395bd1aa41e90f3cc451cbba Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Sat, 12 Mar 2022 17:45:45 +0100 Subject: [PATCH 047/135] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 16e517b514..8315cfa8f6 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ > 🇺🇦 UKRAINE [IS BEING ATTACKED](https://twitter.com/MFA_Ukraine) BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. > - Help Ukraine via [National Bank of Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) > - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate/) fund +> - [More info](https://war.ukraine.ua/) [![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster) [![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) From cb7afe18ef003995d8e23cc0b179ee7e37e8a19e Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Sat, 12 Mar 2022 17:46:09 +0100 Subject: [PATCH 048/135] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8315cfa8f6..ca85cb40c2 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ > 🇺🇦 UKRAINE [IS BEING ATTACKED](https://twitter.com/MFA_Ukraine) BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. > - Help Ukraine via [National Bank of Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) > - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate/) fund -> - [More info](https://war.ukraine.ua/) +> - More info on [war.ukraine.ua](https://war.ukraine.ua/) [![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster) [![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) From 28b43226a4dec973fc9d440b30f1cde50d25c4cb Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Sat, 2 Jul 2022 17:50:13 +0200 Subject: [PATCH 049/135] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ca85cb40c2..4a870ccfed 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ > 🇺🇦 UKRAINE [IS BEING ATTACKED](https://twitter.com/MFA_Ukraine) BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. > - Help Ukraine via [National Bank of Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) -> - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate/) fund +> - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate-en/) fund > - More info on [war.ukraine.ua](https://war.ukraine.ua/) [![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster) From 5a28fef1a7393c8b991352e2dd011d099c7cd5fb Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Sun, 24 Jul 2022 17:49:21 +0200 Subject: [PATCH 050/135] Update Queue images. --- src/data-structures/queue/README.fr-FR.md | 4 +++- src/data-structures/queue/README.ja-JP.md | 4 +++- src/data-structures/queue/README.ko-KR.md | 4 +++- src/data-structures/queue/README.md | 4 +++- src/data-structures/queue/README.pt-BR.md | 4 +++- src/data-structures/queue/README.ru-RU.md | 4 +++- src/data-structures/queue/README.zh-CN.md | 4 +++- src/data-structures/queue/images/queue.jpeg | Bin 0 -> 62391 bytes 8 files changed, 21 insertions(+), 7 deletions(-) create mode 100644 src/data-structures/queue/images/queue.jpeg diff --git a/src/data-structures/queue/README.fr-FR.md b/src/data-structures/queue/README.fr-FR.md index 452e875bcf..8bad714e0f 100644 --- a/src/data-structures/queue/README.fr-FR.md +++ b/src/data-structures/queue/README.fr-FR.md @@ -20,7 +20,9 @@ structure de données linéaire, ou, plus abstraitement, une collection séquent Représentation d'une file PEPS (premier entré, premier sorti) -![Queue](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) +![Queue](./images/queue.jpeg) + +Made with okso.app ## Références diff --git a/src/data-structures/queue/README.ja-JP.md b/src/data-structures/queue/README.ja-JP.md index 7b033b0938..d879064b73 100644 --- a/src/data-structures/queue/README.ja-JP.md +++ b/src/data-structures/queue/README.ja-JP.md @@ -4,7 +4,9 @@ FIFO(先入れ先出し)のキュー -![Queue](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) +![Queue](./images/queue.jpeg) + +Made with okso.app ## 参考 diff --git a/src/data-structures/queue/README.ko-KR.md b/src/data-structures/queue/README.ko-KR.md index 204f6b9b84..527ea5030b 100644 --- a/src/data-structures/queue/README.ko-KR.md +++ b/src/data-structures/queue/README.ko-KR.md @@ -13,7 +13,9 @@ _Read this in other languages:_ 선입선출 자료 구조인 큐를 나타내면 다음과 같습니다. -![Queue](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) +![Queue](./images/queue.jpeg) + +Made with okso.app ## 참고 diff --git a/src/data-structures/queue/README.md b/src/data-structures/queue/README.md index 4db98224a1..e9ad6f54a3 100644 --- a/src/data-structures/queue/README.md +++ b/src/data-structures/queue/README.md @@ -26,7 +26,9 @@ sequential collection. Representation of a FIFO (first in, first out) queue -![Queue](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) +![Queue](./images/queue.jpeg) + +Made with okso.app ## References diff --git a/src/data-structures/queue/README.pt-BR.md b/src/data-structures/queue/README.pt-BR.md index b86c9713c9..ad24d23188 100644 --- a/src/data-structures/queue/README.pt-BR.md +++ b/src/data-structures/queue/README.pt-BR.md @@ -20,7 +20,9 @@ coleção seqüencial. Representação de uma file FIFO (first in, first out) -![Queue](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) +![Queue](./images/queue.jpeg) + +Made with okso.app ## References diff --git a/src/data-structures/queue/README.ru-RU.md b/src/data-structures/queue/README.ru-RU.md index 419edadecd..c1ebe46a88 100644 --- a/src/data-structures/queue/README.ru-RU.md +++ b/src/data-structures/queue/README.ru-RU.md @@ -11,7 +11,9 @@ Иллюстрация работы с очередью. -![Очередь](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) +![Очередь](./images/queue.jpeg) + +Made with okso.app ## References diff --git a/src/data-structures/queue/README.zh-CN.md b/src/data-structures/queue/README.zh-CN.md index d61a2c7dac..d4aa76cffe 100644 --- a/src/data-structures/queue/README.zh-CN.md +++ b/src/data-structures/queue/README.zh-CN.md @@ -7,7 +7,9 @@ 队列中元素先进先出 FIFO (first in, first out)的示意 -![Queue](https://upload.wikimedia.org/wikipedia/commons/5/52/Data_Queue.svg) 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z?rt{84%FHi7a81(pso1vy18=I@7Bgrqb>;uh5 z6Jf5a*=gKFZbsOrb4m+rd2WZ&e~^)GYBpJMlx{Sg@8E_# z7t38`tp4k0&4-}hi;9-FOH4>$TwkBPM(G#b$XU|H1 zPNzxwt_Gjbd9SbRZ{zmsQ#?7(*WDWg^SyE@Mn*>FaOlFlkg&i=FTQKnY{rH-DU(PE zlNdlwu@Xs-J9kHGn-@lL=E~{MKlSUeTgS$Gcw|yXn*D3YkmWW*1vji_zJT^0cl3qP z^R*~GS~Bmn4cKkJP;fB0TUhMz&7~wAe@57D{)&Dg! ac8Hc_+ql8HG3$Q<{)vl9i)7r?@%le7?=(&T literal 0 HcmV?d00001 From 58491c74c9b226205f22faf983c8782ebba167b9 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Sun, 24 Jul 2022 17:53:46 +0200 Subject: [PATCH 051/135] Update Queue images. --- src/data-structures/queue/README.fr-FR.md | 2 +- src/data-structures/queue/README.ja-JP.md | 2 +- src/data-structures/queue/README.ko-KR.md | 2 +- src/data-structures/queue/README.md | 2 +- src/data-structures/queue/README.pt-BR.md | 2 +- src/data-structures/queue/README.ru-RU.md | 2 +- src/data-structures/queue/README.zh-CN.md | 2 +- 7 files changed, 7 insertions(+), 7 deletions(-) diff --git a/src/data-structures/queue/README.fr-FR.md b/src/data-structures/queue/README.fr-FR.md index 8bad714e0f..33d327744f 100644 --- a/src/data-structures/queue/README.fr-FR.md +++ b/src/data-structures/queue/README.fr-FR.md @@ -22,7 +22,7 @@ Représentation d'une file PEPS (premier entré, premier sorti) ![Queue](./images/queue.jpeg) -Made with okso.app +*Made with [okso.app](https://okso.app)* ## Références diff --git a/src/data-structures/queue/README.ja-JP.md b/src/data-structures/queue/README.ja-JP.md index d879064b73..1ffa9c1a68 100644 --- a/src/data-structures/queue/README.ja-JP.md +++ b/src/data-structures/queue/README.ja-JP.md @@ -6,7 +6,7 @@ FIFO(先入れ先出し)のキュー ![Queue](./images/queue.jpeg) -Made with okso.app +*Made with [okso.app](https://okso.app)* ## 参考 diff --git a/src/data-structures/queue/README.ko-KR.md b/src/data-structures/queue/README.ko-KR.md index 527ea5030b..606c8ff35e 100644 --- a/src/data-structures/queue/README.ko-KR.md +++ b/src/data-structures/queue/README.ko-KR.md @@ -15,7 +15,7 @@ _Read this in other languages:_ ![Queue](./images/queue.jpeg) -Made with okso.app +*Made with [okso.app](https://okso.app)* ## 참고 diff --git a/src/data-structures/queue/README.md b/src/data-structures/queue/README.md index e9ad6f54a3..c1e40d735c 100644 --- a/src/data-structures/queue/README.md +++ b/src/data-structures/queue/README.md @@ -28,7 +28,7 @@ Representation of a FIFO (first in, first out) queue ![Queue](./images/queue.jpeg) -Made with okso.app +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/data-structures/queue/README.pt-BR.md b/src/data-structures/queue/README.pt-BR.md index ad24d23188..9464864120 100644 --- a/src/data-structures/queue/README.pt-BR.md +++ b/src/data-structures/queue/README.pt-BR.md @@ -22,7 +22,7 @@ Representação de uma file FIFO (first in, first out) ![Queue](./images/queue.jpeg) -Made with okso.app +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/data-structures/queue/README.ru-RU.md b/src/data-structures/queue/README.ru-RU.md index c1ebe46a88..1f9e5ff6f1 100644 --- a/src/data-structures/queue/README.ru-RU.md +++ b/src/data-structures/queue/README.ru-RU.md @@ -13,7 +13,7 @@ ![Очередь](./images/queue.jpeg) -Made with okso.app +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/data-structures/queue/README.zh-CN.md b/src/data-structures/queue/README.zh-CN.md index d4aa76cffe..af608107d3 100644 --- a/src/data-structures/queue/README.zh-CN.md +++ b/src/data-structures/queue/README.zh-CN.md @@ -9,7 +9,7 @@ ![Queue](./images/queue.jpeg) -Made with okso.app +*Made with [okso.app](https://okso.app)* ## 参考 From 10b79ee1d74887d8757ad166565629a6346f7b41 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Sun, 24 Jul 2022 18:18:53 +0200 Subject: [PATCH 052/135] Update Stack images. --- src/data-structures/stack/README.fr-FR.md | 4 +++- src/data-structures/stack/README.ja-JP.md | 4 +++- src/data-structures/stack/README.ko-KR.md | 4 +++- src/data-structures/stack/README.md | 20 +++++++++++--------- src/data-structures/stack/README.pt-BR.md | 4 +++- src/data-structures/stack/README.ru-RU.md | 6 ++++-- src/data-structures/stack/README.zh-CN.md | 4 +++- src/data-structures/stack/images/stack.jpeg | Bin 0 -> 130156 bytes 8 files changed, 30 insertions(+), 16 deletions(-) create mode 100644 src/data-structures/stack/images/stack.jpeg diff --git a/src/data-structures/stack/README.fr-FR.md b/src/data-structures/stack/README.fr-FR.md index 5e9a95c81c..0d6c388640 100644 --- a/src/data-structures/stack/README.fr-FR.md +++ b/src/data-structures/stack/README.fr-FR.md @@ -20,7 +20,9 @@ autres articles en premier. Représentation simple de l'éxecution d'une pile avec des opérations empiler (push) et dépiler (pop). -![Stack](https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png) +![Stack](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* ## Références diff --git a/src/data-structures/stack/README.ja-JP.md b/src/data-structures/stack/README.ja-JP.md index 7f77828425..55ca25206c 100644 --- a/src/data-structures/stack/README.ja-JP.md +++ b/src/data-structures/stack/README.ja-JP.md @@ -9,7 +9,9 @@ プッシュとポップの例 -![Stack](https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png) +![Stack](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* ## 参考 diff --git a/src/data-structures/stack/README.ko-KR.md b/src/data-structures/stack/README.ko-KR.md index 916aef1d04..c36a472e66 100644 --- a/src/data-structures/stack/README.ko-KR.md +++ b/src/data-structures/stack/README.ko-KR.md @@ -16,7 +16,9 @@ _Read this in other languages:_ 다음은 push와 pop 연산을 실행하는 간단한 스택의 실행입니다. -![Stack](https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png) +![Stack](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* ## 참조 diff --git a/src/data-structures/stack/README.md b/src/data-structures/stack/README.md index f2335da1d6..645e66c117 100644 --- a/src/data-structures/stack/README.md +++ b/src/data-structures/stack/README.md @@ -8,24 +8,26 @@ _Read this in other languages:_ [_Português_](README.pt-BR.md), [_한국어_](README.ko-KR.md) -In computer science, a **stack** is an abstract data type that serves +In computer science, a **stack** is an abstract data type that serves as a collection of elements, with two principal operations: * **push**, which adds an element to the collection, and * **pop**, which removes the most recently added element that was not yet removed. -The order in which elements come off a stack gives rise to its -alternative name, LIFO (last in, first out). Additionally, a -peek operation may give access to the top without modifying -the stack. The name "stack" for this type of structure comes -from the analogy to a set of physical items stacked on top of -each other, which makes it easy to take an item off the top -of the stack, while getting to an item deeper in the stack +The order in which elements come off a stack gives rise to its +alternative name, LIFO (last in, first out). Additionally, a +peek operation may give access to the top without modifying +the stack. The name "stack" for this type of structure comes +from the analogy to a set of physical items stacked on top of +each other, which makes it easy to take an item off the top +of the stack, while getting to an item deeper in the stack may require taking off multiple other items first. Simple representation of a stack runtime with push and pop operations. -![Stack](https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png) +![Stack](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/data-structures/stack/README.pt-BR.md b/src/data-structures/stack/README.pt-BR.md index 9390ea5155..d1269d2437 100644 --- a/src/data-structures/stack/README.pt-BR.md +++ b/src/data-structures/stack/README.pt-BR.md @@ -18,7 +18,9 @@ vários outros itens primeiro. Representação simples de um tempo de execução de pilha com operações _push_ e _pop_. -![Stack](https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png) +![Stack](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* ## Referências diff --git a/src/data-structures/stack/README.ru-RU.md b/src/data-structures/stack/README.ru-RU.md index 136cd6f4d2..3e33c87119 100644 --- a/src/data-structures/stack/README.ru-RU.md +++ b/src/data-structures/stack/README.ru-RU.md @@ -8,14 +8,16 @@ * **удаление (pop)**, последнего добавленного элемента. Дополнительная операция чтения головного элемента (peek) даёт доступ -к последнему элементу стека без изменения самого стека. +к последнему элементу стека без изменения самого стека. Чаще всего принцип работы стека сравнивают со стопкой тарелок: чтобы взять вторую сверху, нужно снять верхнюю. Иллюстрация работы со стеком. -![Стек](https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png) +![Stack](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* ## Ссылки diff --git a/src/data-structures/stack/README.zh-CN.md b/src/data-structures/stack/README.zh-CN.md index bd9bce4b2a..f00e3eab00 100644 --- a/src/data-structures/stack/README.zh-CN.md +++ b/src/data-structures/stack/README.zh-CN.md @@ -13,7 +13,9 @@ 栈的 push 和 pop 操作的示意 -![Stack](https://upload.wikimedia.org/wikipedia/commons/b/b4/Lifo_stack.png) +![Stack](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* ## 参考 diff --git a/src/data-structures/stack/images/stack.jpeg b/src/data-structures/stack/images/stack.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..afedb9a494d1403b4ec3165af4f20551325a5819 GIT binary patch literal 130156 zcmeFZc{tQ<`v;sYg|s3<+OwB628~L}9}3qbl6`;AZ_o4m@!r2YzxO!ae}8}6-N#XuYp(Bgo#$sezb`b@6!$Q2Fznc|W6$+# 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z?rt{84%FHi7a81(pso1vy18=I@7Bgrqb>;uh5 z6Jf5a*=gKFZbsOrb4m+rd2WZ&e~^)GYBpJMlx{Sg@8E_# z7t38`tp4k0&4-}hi;9-FOH4>$TwkBPM(G#b$XU|H1 zPNzxwt_Gjbd9SbRZ{zmsQ#?7(*WDWg^SyE@Mn*>FaOlFlkg&i=FTQKnY{rH-DU(PE zlNdlwu@Xs-J9kHGn-@lL=E~{MKlSUeTgS$Gcw|yXn*D3YkmWW*1vji_zJT^0cl3qP z^R*~GS~Bmn4cKkJP;fB0TUhMz&7~wAe@57D{)&Dg! ac8Hc_+ql8HG3$Q<{)vl9i)7r?@%le7?=(&T From dc65485196ac5307f90994dc8fa0ce58764c536b Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Tue, 26 Jul 2022 20:54:39 +0200 Subject: [PATCH 055/135] Update images for Linked List, Doubly Linked List, Queue, and Stack. (#915) * Update linked list image. * Update Queue image. * Update Stack image. * Update Doubly Linked List image. --- .../doubly-linked-list/README.es-ES.md | 4 +++- .../doubly-linked-list/README.ja-JP.md | 10 ++++++---- .../doubly-linked-list/README.ko-KR.md | 10 ++++++---- .../doubly-linked-list/README.md | 4 +++- .../doubly-linked-list/README.pt-BR.md | 10 ++++++---- .../doubly-linked-list/README.ru-RU.md | 12 +++++++----- .../doubly-linked-list/README.zh-CN.md | 10 ++++++---- .../images/doubly-linked-list.jpeg | Bin 0 -> 115163 bytes .../linked-list/README.es-ES.md | 8 +++++--- .../linked-list/README.ja-JP.md | 6 ++++-- .../linked-list/README.ko-KR.md | 6 ++++-- src/data-structures/linked-list/README.md | 4 +++- .../linked-list/README.pt-BR.md | 4 +++- .../linked-list/README.ru-RU.md | 6 ++++-- .../linked-list/README.tr-TR.md | 4 +++- .../linked-list/README.zh-CN.md | 8 +++++--- .../linked-list/images/linked-list.jpeg | Bin 0 -> 64733 bytes src/data-structures/queue/images/queue.jpeg | Bin 122739 -> 122630 bytes src/data-structures/stack/images/stack.jpeg | Bin 153040 -> 153582 bytes 19 files changed, 68 insertions(+), 38 deletions(-) create mode 100644 src/data-structures/doubly-linked-list/images/doubly-linked-list.jpeg create mode 100644 src/data-structures/linked-list/images/linked-list.jpeg diff --git a/src/data-structures/doubly-linked-list/README.es-ES.md b/src/data-structures/doubly-linked-list/README.es-ES.md index 15a623550f..490466d74b 100644 --- a/src/data-structures/doubly-linked-list/README.es-ES.md +++ b/src/data-structures/doubly-linked-list/README.es-ES.md @@ -9,7 +9,9 @@ _Lea esto en otros idiomas:_ En informática, una **lista doblemente enlazada** es una estructura de datos relacionados que consta de un conjunto de registros conectados secuencialmente llamados nodos. Cada nodo contiene dos campos, llamados enlaces, que son referencias al nodo anterior y al siguiente en la secuencia de nodos. Los enlaces anterior y siguiente de los nodos inicial y final, apuntan respectivamente a algún tipo de terminador (normalmente un nodo centinela o nulo), facilitando así el recorrido de la lista. Si solo hay un nodo nulo, la lista se enlaza circularmente a través este. Puede conceptualizarse como dos listas enlazadas individualmente formadas a partir de los mismos elementos de datos, pero en órdenes secuenciales opuestos. -![Lista doblemente enlazada](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) +![Lista doblemente enlazada](./images/doubly-linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* Los dos enlaces de un nodo permiten recorrer la lista en cualquier dirección. Si bien agregar o eliminar un nodo en una lista doblemente enlazada requiere cambiar más enlaces que las mismas operaciones en una lista enlazada individualmente, las operaciones son más simples y potencialmente más eficientes (para nodos que no sean los primeros) porque no hay necesidad de realizar un seguimiento del nodo anterior durante el recorrido o no es necesario recorrer la lista para encontrar el nodo anterior, de modo que se pueda modificar su enlace. diff --git a/src/data-structures/doubly-linked-list/README.ja-JP.md b/src/data-structures/doubly-linked-list/README.ja-JP.md index ede22817ba..0ff96628c9 100644 --- a/src/data-structures/doubly-linked-list/README.ja-JP.md +++ b/src/data-structures/doubly-linked-list/README.ja-JP.md @@ -2,7 +2,9 @@ コンピュータサイエンスにおいて、**双方向リスト**はノードと呼ばれる一連のリンクレコードからなる連結データ構造です。各ノードはリンクと呼ばれる2つのフィールドを持っていて、これらは一連のノード内における前のノードと次のノードを参照しています。最初のノードの前のリンクと最後のノードの次のリンクはある種の終端を示していて、一般的にはダミーノードやnullが格納され、リストのトラバースを容易に行えるようにしています。もしダミーノードが1つしかない場合、リストはその1つのノードを介して循環的にリンクされます。これは、それぞれ逆の順番の単方向のリンクリストが2つあるものとして考えることができます。 -![Doubly Linked List](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) +![Doubly Linked List](./images/doubly-linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* 2つのリンクにより、リストをどちらの方向にもトラバースすることができます。双方向リストはノードの追加や削除の際に、片方向リンクリストと比べてより多くのリンクを変更する必要があります。しかし、その操作は簡単で、より効率的な(最初のノード以外の場合)可能性があります。前のノードのリンクを更新する際に前のノードを保持したり、前のノードを見つけるためにリストをトラバースする必要がありません。 @@ -25,7 +27,7 @@ Add(value) end if end Add ``` - + ### 削除 ```text @@ -62,7 +64,7 @@ Remove(head, value) return false end Remove ``` - + ### 逆トラバース ```text @@ -76,7 +78,7 @@ ReverseTraversal(tail) end while end Reverse Traversal ``` - + ## 計算量 ## 時間計算量 diff --git a/src/data-structures/doubly-linked-list/README.ko-KR.md b/src/data-structures/doubly-linked-list/README.ko-KR.md index 192b189817..9f60e54f32 100644 --- a/src/data-structures/doubly-linked-list/README.ko-KR.md +++ b/src/data-structures/doubly-linked-list/README.ko-KR.md @@ -12,7 +12,9 @@ _Read this in other languages:_ 센티넬 노드가 하나만 있으면, 목록이 센티넬 노드를 통해서 원형으로 연결됩니다. 동일한 데이터 항목으로 구성되어 있지만, 반대 순서로 두 개의 단일 연결 리스트로 개념화 할 수 있습니다. -![이중 연결 리스트](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) +![이중 연결 리스트](./images/doubly-linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* 두 개의 노드 링크를 사용하면 어느 방향으로든 리스트를 순회할 수 있습니다. 이중 연결 리스트에서 노드를 추가하거나 제거하려면, 단일 연결 리스트에서 동일한 작업보다 더 많은 링크를 변경해야 하지만, 첫 번째 노드 이외의 노드인 경우 작업을 추적할 필요가 없으므로 작업이 더 단순해져 잠재적으로 더 효율적입니다. @@ -37,7 +39,7 @@ Add(value) end if end Add ``` - + ### 삭제 ```text @@ -74,7 +76,7 @@ Remove(head, value) return false end Remove ``` - + ### 역순회 ```text @@ -88,7 +90,7 @@ ReverseTraversal(tail) end while end Reverse Traversal ``` - + ## 복잡도 ## 시간 복잡도 diff --git a/src/data-structures/doubly-linked-list/README.md b/src/data-structures/doubly-linked-list/README.md index 703520aaf4..81c0797f73 100644 --- a/src/data-structures/doubly-linked-list/README.md +++ b/src/data-structures/doubly-linked-list/README.md @@ -18,7 +18,9 @@ sentinel node, then the list is circularly linked via the sentinel node. It can be conceptualized as two singly linked lists formed from the same data items, but in opposite sequential orders. -![Doubly Linked List](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) +![Doubly Linked List](./images/doubly-linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* The two node links allow traversal of the list in either direction. While adding or removing a node in a doubly linked list requires changing more links than the diff --git a/src/data-structures/doubly-linked-list/README.pt-BR.md b/src/data-structures/doubly-linked-list/README.pt-BR.md index 73c86f5386..9ba3954d0b 100644 --- a/src/data-structures/doubly-linked-list/README.pt-BR.md +++ b/src/data-structures/doubly-linked-list/README.pt-BR.md @@ -11,7 +11,9 @@ somente um nó sentinela, então a lista é ligada circularmente através do nó sentinela. Ela pode ser conceitualizada como duas listas individualmente ligadas e formadas a partir dos mesmos itens, mas em ordem sequencial opostas. -![Doubly Linked List](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) +![Doubly Linked List](./images/doubly-linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* Os dois nós ligados permitem a travessia da lista em qualquer direção. Enquanto adicionar ou remover um nó de uma lista duplamente vinculada requer @@ -41,7 +43,7 @@ Add(value) end if end Add ``` - + ### Deletar ```text @@ -78,7 +80,7 @@ Remove(head, value) return false end Remove ``` - + ### Travessia reversa ```text @@ -92,7 +94,7 @@ ReverseTraversal(tail) end while end Reverse Traversal ``` - + ## Complexidades ## Complexidade de Tempo diff --git a/src/data-structures/doubly-linked-list/README.ru-RU.md b/src/data-structures/doubly-linked-list/README.ru-RU.md index ddad0312b0..b69d0da393 100644 --- a/src/data-structures/doubly-linked-list/README.ru-RU.md +++ b/src/data-structures/doubly-linked-list/README.ru-RU.md @@ -10,14 +10,16 @@ Двусвязный список можно представить, как два связных списка, которые образованы из одних и тех же данных, но расположенных в противоположном порядке. -![Двусвязный список](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) +![Двусвязный список](./images/doubly-linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* Две ссылки позволяют обходить список в обоих направлениях. Добавление и удаление узла в двусвязном списке требует изменения большего количества ссылок, чем аналогичные операции в связном списке. Однако данные операции проще и потенциально более эффективны (для некорневых узлов) - при обходе не нужно следить за предыдущим узлом или повторно обходить список в поиске предыдущего узла, плюс его ссылка -может быть изменена. +может быть изменена. ## Псевдокод основных операций @@ -38,7 +40,7 @@ Add(value) end if end Add ``` - + ### Удаление ```text @@ -75,7 +77,7 @@ Remove(head, value) return false end Remove ``` - + ### Обратный обход ```text @@ -89,7 +91,7 @@ ReverseTraversal(tail) end while end Reverse Traversal ``` - + ## Сложность ## Временная сложность diff --git a/src/data-structures/doubly-linked-list/README.zh-CN.md b/src/data-structures/doubly-linked-list/README.zh-CN.md index 097ec0c90c..3e669f4c45 100644 --- a/src/data-structures/doubly-linked-list/README.zh-CN.md +++ b/src/data-structures/doubly-linked-list/README.zh-CN.md @@ -2,7 +2,9 @@ 在计算机科学中, 一个 **双向链表(doubly linked list)** 是由一组称为节点的顺序链接记录组成的链接数据结构。每个节点包含两个字段，称为链接，它们是对节点序列中上一个节点和下一个节点的引用。开始节点和结束节点的上一个链接和下一个链接分别指向某种终止节点，通常是前哨节点或null，以方便遍历列表。如果只有一个前哨节点，则列表通过前哨节点循环链接。它可以被概念化为两个由相同数据项组成的单链表，但顺序相反。 -![Doubly Linked List](https://upload.wikimedia.org/wikipedia/commons/5/5e/Doubly-linked-list.svg) +![Doubly Linked List](./images/doubly-linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* 两个节点链接允许在任一方向上遍历列表。 @@ -29,7 +31,7 @@ Add(value) end if end Add ``` - + ### 删除 ```text @@ -66,7 +68,7 @@ Remove(head, value) return false end Remove ``` - + ### 反向遍历 ```text @@ -80,7 +82,7 @@ ReverseTraversal(tail) end while end Reverse Traversal ``` - + ## 复杂度 ## 时间复杂度 diff --git a/src/data-structures/doubly-linked-list/images/doubly-linked-list.jpeg b/src/data-structures/doubly-linked-list/images/doubly-linked-list.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..99234ce1e582d28648e7802341bab8f7bd33d489 GIT binary patch literal 115163 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z5_88aO;!*AFWQA8h+h_HqR*2jDqiS1%T>_hP52aec#lnN0T`a;OrKHEAs7Z2z=-z8 zqNsXSj$|-V>}SmU=S9#4U^OumHx^R;jGO+vP@ueTt`e+6Ssopoh9W9pJ~6)_d+g1| z#L9t!x;wdTo59)dCCzOQ7bJ~VLk4#Rk z>aj{oOYfv!yLJuVWObormO2rMM8=7+vb8Y#80hQUI5{~<2a8Kd9ZuyCj*eCjW-n#; z_VxyJYNaP_ZEgL2;BC8ZEc0P|dz-@Fe(XOB0f%`{ZRXXpr2e|k4s~GFtc&yW*()n6 zJ6`kK+vO{3YgG#i3sXfJN=>Ej-VHYz1;>BneQ8=$TF~r^Z@_7_)bTB8-6@( zHt6{;3eBGeZFFJ5x-ok3%a^pd(X1CQUR2iBj-5&%5@uv%T-n$t`6Tf2Ve6+)V=F5T zvM*WnL|KXy-H@J?O)9FY-G&M6jAmz8Ww|8)KEV{@05OP!OFNIQtKT9YK}thnxD#@%{H@uwS^)Nu9(wY4KAj{yd6>W|NWhEX>#D;J#}RMzkVm+@D)C_$^Ja$_8(8{>tvT`#XSlYXCjY N;OXk;vd$@?2>{TGqDKG# literal 0 HcmV?d00001 diff --git a/src/data-structures/linked-list/README.es-ES.md b/src/data-structures/linked-list/README.es-ES.md index 62cda8d14a..c21c48cded 100644 --- a/src/data-structures/linked-list/README.es-ES.md +++ b/src/data-structures/linked-list/README.es-ES.md @@ -7,9 +7,9 @@ _Lee este artículo en otros idiomas:_ [_Português_](README.pt-BR.md) [_English_](README.md) -En ciencias de la computaciòn una **lista enlazada** es una coleccion linear +En ciencias de la computaciòn una **lista enlazada** es una coleccion linear de elementos de datos, en los cuales el orden linear no es dado por -su posciòn fisica en memoria. En cambio, cada +su posciòn fisica en memoria. En cambio, cada elemento señala al siguiente. Es una estructura de datos que consiste en un grupo de nodos los cuales juntos representan una secuencia. En su forma más sencilla, cada nodo está @@ -24,7 +24,9 @@ acceso es lineal (y difícil de canalizar). Un acceso más rápido, como un acceso aleatorio, no es factible. Los arreglos tienen una mejor locazion en caché comparados con las listas lazadas. -![Linked List](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## Pseudocódigo para operaciones básicas diff --git a/src/data-structures/linked-list/README.ja-JP.md b/src/data-structures/linked-list/README.ja-JP.md index e68b64fa6a..c78997042b 100644 --- a/src/data-structures/linked-list/README.ja-JP.md +++ b/src/data-structures/linked-list/README.ja-JP.md @@ -2,7 +2,9 @@ コンピュータサイエンスにおいて、**リンクリスト**はデータ要素の線形コレクションです。要素の順番はメモリ内の物理的な配置によっては決まりません。代わりに、各要素が次の要素を指しています。リンクリストはノードのグループからなるデータ構造です。最も単純な形式では、各ノードはデータとシーケンス内における次のノードへの参照(つまり、リンク)で構成されています。この構造はイテレーションにおいて任意の位置へ要素を効率的に挿入、削除することを可能にしています。より複雑なリンクリストではリンクをさらに追加することで、任意の要素の参照から要素を効率的に挿入、削除することを可能にしています。リンクリストの欠点はアクセスタイムが線形である(そして、パイプライン処理が難しい)ことです。ランダムアクセスのような高速なアクセスは実現不可能です。配列の方がリンクリストと比較して参照の局所性が優れています。 -![Linked List](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## 基本操作の擬似コード @@ -53,7 +55,7 @@ Contains(head, value) return true end Contains ``` - + ### 削除 ```text diff --git a/src/data-structures/linked-list/README.ko-KR.md b/src/data-structures/linked-list/README.ko-KR.md index a6d0fd4669..f68d8a464d 100644 --- a/src/data-structures/linked-list/README.ko-KR.md +++ b/src/data-structures/linked-list/README.ko-KR.md @@ -8,7 +8,9 @@ _Read this in other languages:_ 컴퓨터과학에서, **링크드 리스트**는 데이터 요소의 선형 집합이며, 이 집합에서 논리적 저장 순서는 메모리의 물리적 저장 순서와 일치하지 않습니다. 그 대신, 각각의 원소들은 자기 자신 다음의 원소를 가리킵니다. **링크드 리스트**는 순서를 표현하는 노드들의 집합으로 이루어져 있습니다. 간단하게, 각각의 노드들은 데이터와 다음 순서의 노드를 가리키는 레퍼런스로 이루어져 있습니다. (링크라고 부릅니다.) 이 자료구조는 순회하는 동안 순서에 상관없이 효율적인 삽입이나 삭제가 가능합니다. 더 복잡한 변형은 추가적인 링크를 더해, 임의의 원소 참조로부터 효율적인 삽입과 삭제를 가능하게 합니다. 링크드 리스트의 단점은 접근 시간이 선형이라는 것이고, 병렬처리도 하지 못합니다. 임의 접근처럼 빠른 접근은 불가능합니다. 링크드 리스트에 비해 배열이 더 나은 캐시 지역성을 가지고 있습니다. -![링크드 리스트](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## 기본 연산에 대한 수도코드 @@ -60,7 +62,7 @@ Contains(head, value) return true end Contains ``` - + ### 삭제 ```text diff --git a/src/data-structures/linked-list/README.md b/src/data-structures/linked-list/README.md index d4b9fa53e9..8819a390d3 100644 --- a/src/data-structures/linked-list/README.md +++ b/src/data-structures/linked-list/README.md @@ -26,7 +26,9 @@ time is linear (and difficult to pipeline). Faster access, such as random access, is not feasible. Arrays have better cache locality as compared to linked lists. -![Linked List](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## Pseudocode for Basic Operations diff --git a/src/data-structures/linked-list/README.pt-BR.md b/src/data-structures/linked-list/README.pt-BR.md index 95a244d06f..579a4fce8c 100644 --- a/src/data-structures/linked-list/README.pt-BR.md +++ b/src/data-structures/linked-list/README.pt-BR.md @@ -18,7 +18,9 @@ pipeline). Acesso mais rápido, como acesso aleatório, não é viável. Arrays possuem uma melhor localização de cache em comparação com listas encadeadas (linked lists). -![Linked List](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## Pseudo código para Operações Básicas diff --git a/src/data-structures/linked-list/README.ru-RU.md b/src/data-structures/linked-list/README.ru-RU.md index d76bcd82f9..98ad6c4727 100644 --- a/src/data-structures/linked-list/README.ru-RU.md +++ b/src/data-structures/linked-list/README.ru-RU.md @@ -6,7 +6,9 @@ Недостатком связных списков является то, что время доступа линейно (и затруднительно для реализации конвейеров). Быстрый доступ(случайный) невозможен. -![Связный список](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## Псевдокод основных операций @@ -57,7 +59,7 @@ Contains(head, value) return true end Contains ``` - + ### Удаление ```text diff --git a/src/data-structures/linked-list/README.tr-TR.md b/src/data-structures/linked-list/README.tr-TR.md index e3f73fdf63..e5ed05623d 100644 --- a/src/data-structures/linked-list/README.tr-TR.md +++ b/src/data-structures/linked-list/README.tr-TR.md @@ -19,7 +19,9 @@ Bağlantılı listelerin bir dezavantajı, erişim süresinin doğrusal olmasıd (ve ardışık düzene geçirilmesi zordur). Rastgele erişim gibi daha hızlı erişim mümkün değildir. Diziler, bağlantılı listelere kıyasla daha iyi önbellek konumuna sahiptir. -![Bağlantılı Liste](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## Temel İşlemler için Sözde Kod diff --git a/src/data-structures/linked-list/README.zh-CN.md b/src/data-structures/linked-list/README.zh-CN.md index 81f036ab08..f0b75121e7 100644 --- a/src/data-structures/linked-list/README.zh-CN.md +++ b/src/data-structures/linked-list/README.zh-CN.md @@ -8,7 +8,9 @@ 更快的访问，如随机访问，是不可行的。与链表相比，数组具有更好的缓存位置。 -![Linked List](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* ## 基本操作的伪代码 @@ -59,7 +61,7 @@ Contains(head, value) return true end Contains ``` - + ### 删除 ```text @@ -107,7 +109,7 @@ Traverse(head) end while end Traverse ``` - + ### 反向遍历 ```text diff --git 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zvM*WnL|KXy-H@J?O)9FY-G&M6jAmz8Ww|8)KEV{@05OP!OFNIQtKT9YK}thnxD#@%{H@uwS^)Nu9(wY4KAj{yd6>W|NWhEX>#D;J#}RMzkVm+@D)C_$^Ja$_8(8{>tvT`#XSlYXCjY N;OXk;vd$@?2>{TGqDKG# From b7017ede9880c29578debc3389a514cbeb188159 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Wed, 27 Jul 2022 18:25:52 +0200 Subject: [PATCH 057/135] Update Tree image. --- src/data-structures/tree/README.md | 22 ++++++++++++---------- src/data-structures/tree/README.pt-BR.md | 4 +++- src/data-structures/tree/README.zh-CN.md | 6 ++++-- src/data-structures/tree/images/tree.jpeg | Bin 0 -> 60051 bytes 4 files changed, 19 insertions(+), 13 deletions(-) create mode 100644 src/data-structures/tree/images/tree.jpeg diff --git a/src/data-structures/tree/README.md b/src/data-structures/tree/README.md index d2d338f434..7eb7ec1db1 100644 --- a/src/data-structures/tree/README.md +++ b/src/data-structures/tree/README.md @@ -10,24 +10,26 @@ _Read this in other languages:_ * [Segment Tree](segment-tree) - with min/max/sum range queries examples * [Fenwick Tree](fenwick-tree) (Binary Indexed Tree) -In computer science, a **tree** is a widely used abstract data -type (ADT) — or data structure implementing this ADT—that -simulates a hierarchical tree structure, with a root value -and subtrees of children with a parent node, represented as +In computer science, a **tree** is a widely used abstract data +type (ADT) — or data structure implementing this ADT—that +simulates a hierarchical tree structure, with a root value +and subtrees of children with a parent node, represented as a set of linked nodes. -A tree data structure can be defined recursively (locally) -as a collection of nodes (starting at a root node), where -each node is a data structure consisting of a value, -together with a list of references to nodes (the "children"), -with the constraints that no reference is duplicated, and none +A tree data structure can be defined recursively (locally) +as a collection of nodes (starting at a root node), where +each node is a data structure consisting of a value, +together with a list of references to nodes (the "children"), +with the constraints that no reference is duplicated, and none points to the root. A simple unordered tree; in this diagram, the node labeled 7 has two children, labeled 2 and 6, and one parent, labeled 2. The root node, at the top, has no parent. -![Tree](https://upload.wikimedia.org/wikipedia/commons/f/f7/Binary_tree.svg) +![Tree](./images/tree.jpeg) + +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/data-structures/tree/README.pt-BR.md b/src/data-structures/tree/README.pt-BR.md index 905c419c19..173e096c48 100644 --- a/src/data-structures/tree/README.pt-BR.md +++ b/src/data-structures/tree/README.pt-BR.md @@ -22,7 +22,9 @@ Uma árvore não ordenada simples; neste diagrama, o nó rotulado como `7` possui dois filhos, rotulados como `2` e `6`, e um pai, rotulado como `2`. O nó raíz, no topo, não possui nenhum pai. -![Tree](https://upload.wikimedia.org/wikipedia/commons/f/f7/Binary_tree.svg) +![Tree](./images/tree.jpeg) + +*Made with [okso.app](https://okso.app)* ## Referências diff --git a/src/data-structures/tree/README.zh-CN.md b/src/data-structures/tree/README.zh-CN.md index 3188c2b0e2..2f4df983d4 100644 --- a/src/data-structures/tree/README.zh-CN.md +++ b/src/data-structures/tree/README.zh-CN.md @@ -13,10 +13,12 @@ 一棵简单的无序树; 在下图中: -标记为7的节点具有两个子节点, 标记为2和6; +标记为7的节点具有两个子节点, 标记为2和6; 一个父节点,标记为2,作为根节点, 在顶部,没有父节点。 -![Tree](https://upload.wikimedia.org/wikipedia/commons/f/f7/Binary_tree.svg) +![Tree](./images/tree.jpeg) + +*Made with [okso.app](https://okso.app)* ## 参考 diff --git a/src/data-structures/tree/images/tree.jpeg b/src/data-structures/tree/images/tree.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..d59197256021585fe1873b80c41c01b6ea57b29f GIT binary patch literal 60051 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z!XlDe;Bh7sz`-TM*NT6?iVv2r8Md#kvupH^`*ivG#159Qik&>PSQvMHiP%sN&J<(# zcG5^^er2hGZky+ibD}%A8IQf6SiO?`VW?7EaeOL_?a+ok*-dnw$-(>}7Yv5xLQWYl zhARzth7RG)>i+mdNgspzw1-!;JiK6>a#pwPIA8Gll!3N%K>*f~vgy+aM*AX*UyE(^ zsOX1Xr!~*IbHo2EmQc2j Date: Fri, 29 Jul 2022 21:47:38 +0200 Subject: [PATCH 058/135] Do --- src/data-structures/heap/README.fr-FR.md | 8 +++- src/data-structures/heap/README.ja-JP.md | 8 +++- src/data-structures/heap/README.ko-KR.md | 8 +++- src/data-structures/heap/README.md | 8 +++- src/data-structures/heap/README.pt-BR.md | 8 +++- src/data-structures/heap/README.ru-RU.md | 8 +++- src/data-structures/heap/README.tr-TR.md | 12 +++-- src/data-structures/heap/README.zh-CN.md | 42 ++++++++++-------- .../heap/images/array-representation.jpeg | Bin 0 -> 111908 bytes src/data-structures/heap/images/max-heap.jpeg | Bin 0 -> 80393 bytes src/data-structures/heap/images/min-heap.jpeg | Bin 0 -> 82405 bytes 11 files changed, 67 insertions(+), 35 deletions(-) create mode 100644 src/data-structures/heap/images/array-representation.jpeg create mode 100644 src/data-structures/heap/images/max-heap.jpeg create mode 100644 src/data-structures/heap/images/min-heap.jpeg diff --git a/src/data-structures/heap/README.fr-FR.md b/src/data-structures/heap/README.fr-FR.md index 49ad73cc9f..56f184b593 100644 --- a/src/data-structures/heap/README.fr-FR.md +++ b/src/data-structures/heap/README.fr-FR.md @@ -4,11 +4,15 @@ En informatique, un **tas** est une structure de données arborescente spéciali Dans un *tas minimal* (en anglais *min heap*), si `P` est un nœud parent de `C`, alors la clé (la valeur) de `P` est inférieure ou égale à la clé de `C`. -![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) +![MinHeap](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* Dans un *tas maximal* (en anglais *max heap*), la clé de `P` est supérieure ou égale à la clé de `C`. -![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) Le nœud au «sommet» du tas sans parents est appelé le nœud racine. diff --git a/src/data-structures/heap/README.ja-JP.md b/src/data-structures/heap/README.ja-JP.md index 465e11a049..13d3e36338 100644 --- a/src/data-structures/heap/README.ja-JP.md +++ b/src/data-structures/heap/README.ja-JP.md @@ -4,11 +4,15 @@ *最小ヒープ*では、もし`P`が`C`の親ノードの場合、`P`のキー(値)は`C`のキーより小さい、または等しくなります。 -![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) +![MinHeap](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* *最大ヒープ*では、`P`のキーは`C`のキーより大きい、もしくは等しくなります。 -![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) ヒープの「トップ」のノードには親ノードが存在せず、ルートノードと呼ばれます。 diff --git a/src/data-structures/heap/README.ko-KR.md b/src/data-structures/heap/README.ko-KR.md index ace702da9e..136a87b420 100644 --- a/src/data-structures/heap/README.ko-KR.md +++ b/src/data-structures/heap/README.ko-KR.md @@ -4,11 +4,15 @@ *최소 힙*에서 `P`가 `C`의 상위 노드라면 `P`의 키(값)는 `C`의 키보다 작거나 같습니다. -![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) +![MinHeap](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* *최대 힙*에서 `P`의 키는 `C`의 키보다 크거나 같습니다. -![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) 상위 노드가 없는 힙의 "상단"에 있는 노드를 루트 노드라고 합니다. diff --git a/src/data-structures/heap/README.md b/src/data-structures/heap/README.md index 2610a9ff4a..ef1d2e8b9a 100644 --- a/src/data-structures/heap/README.md +++ b/src/data-structures/heap/README.md @@ -17,12 +17,16 @@ In a *min heap*, if `P` is a parent node of `C`, then the key (the value) of `P` is less than or equal to the key of `C`. -![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) +![MinHeap](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* In a *max heap*, the key of `P` is greater than or equal to the key of `C` -![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) The node at the "top" of the heap with no parents is called the root node. diff --git a/src/data-structures/heap/README.pt-BR.md b/src/data-structures/heap/README.pt-BR.md index e78f6c199a..f229048d3a 100644 --- a/src/data-structures/heap/README.pt-BR.md +++ b/src/data-structures/heap/README.pt-BR.md @@ -6,12 +6,16 @@ baseada em uma árvore especializada que satisfaz a propriedade _heap_ descrita Em um *heap mínimo* (min heap), caso `P` é um nó pai de `C`, então a chave (o valor) de `P` é menor ou igual a chave de `C`. -![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) +![MinHeap](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* Em uma *heap máximo* (max heap), a chave de `P` é maior ou igual a chave de `C`. -![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) O nó no "topo" do _heap_, cujo não possui pais, é chamado de nó raiz. diff --git a/src/data-structures/heap/README.ru-RU.md b/src/data-structures/heap/README.ru-RU.md index 760fc479ab..4c074d1f7c 100644 --- a/src/data-structures/heap/README.ru-RU.md +++ b/src/data-structures/heap/README.ru-RU.md @@ -4,11 +4,15 @@ если B является узлом-потомком узла A, то ключ(A) ≥ ключ(B). Из этого следует, что элемент с наибольшим ключом всегда является корневым узлом кучи, поэтому иногда такие кучи называют max-кучами. -![Max-куча](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) Если сравнение перевернуть, то наименьший элемент будет всегда корневым узлом, такие кучи называют min-кучами. -![Min-куча](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) +![MinHeap](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* Не существует никаких ограничений относительно того, сколько узлов-потомков имеет каждый узел кучи. На практике их число обычно не более двух. Куча является максимально эффективной реализацией абстрактного типа данных, который diff --git a/src/data-structures/heap/README.tr-TR.md b/src/data-structures/heap/README.tr-TR.md index b741ef305c..05906391e8 100644 --- a/src/data-structures/heap/README.tr-TR.md +++ b/src/data-structures/heap/README.tr-TR.md @@ -4,15 +4,19 @@ Bilgisayar biliminde, **yığın (heap)** aşağıda açıklanan özellikleri ka *min heap*, Eğer `P`, `C`'nin üst düğümü ise, `P`'nin anahtarı (değeri) `C`'nin anahtarından (değerinden) küçük veya ona eşittir. -![MinHeap](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) +![MinHeap](./images/min-heap.jpeg) -*max heap*, `P`'nin anahtarı `C`'nin anahtarından büyük veya eşittir. +*Made with [okso.app](https://okso.app)* -![Heap](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) +*max heap*, `P`'nin anahtarı `C`'nin anahtarından büyük veya eşittir. + +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) Yığının (Heap) "en üstündeki" ebeveyni olmayan düğüme kök düğüm (root node) denir. ## Referanslar - [Wikipedia](https://en.wikipedia.org/wiki/Heap_(data_structure)) -- [YouTube](https://www.youtube.com/watch?v=t0Cq6tVNRBA&index=5&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) \ No newline at end of file +- [YouTube](https://www.youtube.com/watch?v=t0Cq6tVNRBA&index=5&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/data-structures/heap/README.zh-CN.md b/src/data-structures/heap/README.zh-CN.md index 4c1ecaf068..8ba42dfb05 100644 --- a/src/data-structures/heap/README.zh-CN.md +++ b/src/data-structures/heap/README.zh-CN.md @@ -1,19 +1,23 @@ -# 堆 (数据结构) - -在计算机科学中, 一个 **堆(heap)** 是一种特殊的基于树的数据结构，它满足下面描述的堆属性。 - -在一个 *最小堆(min heap)* 中, 如果 `P` 是 `C` 的一个父级节点, 那么 `P` 的key(或value)应小于或等于 `C` 的对应值. - -![最小堆](https://upload.wikimedia.org/wikipedia/commons/6/69/Min-heap.png) - -在一个 *最大堆(max heap)* 中, `P` 的key(或value)大于 `C` 的对应值。 - -![堆](https://upload.wikimedia.org/wikipedia/commons/3/38/Max-Heap.svg) - - -在堆“顶部”的没有父级节点的节点,被称之为根节点。 - -## 参考 - -- [Wikipedia](https://en.wikipedia.org/wiki/Heap_(data_structure)) -- [YouTube](https://www.youtube.com/watch?v=t0Cq6tVNRBA&index=5&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +# 堆 (数据结构) + +在计算机科学中, 一个 **堆(heap)** 是一种特殊的基于树的数据结构，它满足下面描述的堆属性。 + +在一个 *最小堆(min heap)* 中, 如果 `P` 是 `C` 的一个父级节点, 那么 `P` 的key(或value)应小于或等于 `C` 的对应值. + +![M最小堆](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* + +在一个 *最大堆(max heap)* 中, `P` 的key(或value)大于 `C` 的对应值。 + +![堆](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) + + +在堆“顶部”的没有父级节点的节点,被称之为根节点。 + +## 参考 + +- [Wikipedia](https://en.wikipedia.org/wiki/Heap_(data_structure)) +- [YouTube](https://www.youtube.com/watch?v=t0Cq6tVNRBA&index=5&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/data-structures/heap/images/array-representation.jpeg 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Ces paires sont des arêtes, arcs +La structure de données abstraite de graphe consiste +en un ensemble fini, éventuellement mutable de sommets +ou nœuds ou points, avec un ensemble de paires ordonnées +ou non de tels éléments. Ces paires sont des arêtes, arcs non orientés, ou lignes pour un graphe non orienté, et -flèches, arêtes orientées , arcs, ou lignes orientées -dans le cas orienté. Les sommets peuvent faire partie -de la structure, ou être des entités extérieures, +flèches, arêtes orientées , arcs, ou lignes orientées +dans le cas orienté. Les sommets peuvent faire partie +de la structure, ou être des entités extérieures, représentées par des entiers ou des références. -![Graph](https://www.tutorialspoint.com/data_structures_algorithms/images/graph.jpg) +![Graph](./images/graph.jpeg) + +*Made with [okso.app](https://okso.app)* ## References -- [Wikipedia](https://fr.wikipedia.org/wiki/Graphe_(type_abstrait)) \ No newline at end of file +- [Wikipedia](https://fr.wikipedia.org/wiki/Graphe_(type_abstrait)) diff --git a/src/data-structures/graph/README.md b/src/data-structures/graph/README.md index 2c8602d94a..9930053772 100644 --- a/src/data-structures/graph/README.md +++ b/src/data-structures/graph/README.md @@ -6,23 +6,25 @@ _Read this in other languages:_ [_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md) -In computer science, a **graph** is an abstract data type -that is meant to implement the undirected graph and +In computer science, a **graph** is an abstract data type +that is meant to implement the undirected graph and directed graph concepts from mathematics, specifically the field of graph theory -A graph data structure consists of a finite (and possibly -mutable) set of vertices or nodes or points, together -with a set of unordered pairs of these vertices for an -undirected graph or a set of ordered pairs for a -directed graph. These pairs are known as edges, arcs, -or lines for an undirected graph and as arrows, -directed edges, directed arcs, or directed lines -for a directed graph. The vertices may be part of -the graph structure, or may be external entities +A graph data structure consists of a finite (and possibly +mutable) set of vertices or nodes or points, together +with a set of unordered pairs of these vertices for an +undirected graph or a set of ordered pairs for a +directed graph. These pairs are known as edges, arcs, +or lines for an undirected graph and as arrows, +directed edges, directed arcs, or directed lines +for a directed graph. The vertices may be part of +the graph structure, or may be external entities represented by integer indices or references. -![Graph](https://www.tutorialspoint.com/data_structures_algorithms/images/graph.jpg) +![Graph](./images/graph.jpeg) + +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/data-structures/graph/README.pt-BR.md b/src/data-structures/graph/README.pt-BR.md index 194a4eb04c..de7947cba8 100644 --- a/src/data-structures/graph/README.pt-BR.md +++ b/src/data-structures/graph/README.pt-BR.md @@ -17,7 +17,9 @@ para um grafo direcionado. Os vértices podem fazer parte a estrutura do grafo, ou podem ser entidades externas representadas por índices inteiros ou referências. -![Graph](https://www.tutorialspoint.com/data_structures_algorithms/images/graph.jpg) +![Graph](./images/graph.jpeg) + +*Made with [okso.app](https://okso.app)* ## Referências diff --git a/src/data-structures/graph/README.ru-RU.md b/src/data-structures/graph/README.ru-RU.md index 2f656730c2..950198451b 100644 --- a/src/data-structures/graph/README.ru-RU.md +++ b/src/data-structures/graph/README.ru-RU.md @@ -3,7 +3,7 @@ **Граф** в информатике - абстрактный тип данных, который должен реализовывать концепции направленного и ненаправленного графа в математике, особенно в области теории графов. -Структура данных графа состоит из конечного (и возможно изменяющегося) набора вершин или узлов, или точек, совместно с +Структура данных графа состоит из конечного (и возможно изменяющегося) набора вершин или узлов, или точек, совместно с набором ненаправленных пар этих вершин для ненаправленного графа или с набором направленных пар для направленного графа. Эти пары известны как рёбра, арки или линии для ненаправленного графа и как стрелки, направленные рёбра, направленные арки или направленные линии для направленного графа. Эти вершины могут быть частью структуры графа, или внешними @@ -14,7 +14,9 @@ информатике, могут быть представлены графами. Например, строение Википедии можно смоделировать при помощи ориентированного графа, в котором вершины — это статьи, а дуги (ориентированные рёбра) — гиперссылки. -![Граф](https://www.tutorialspoint.com/data_structures_algorithms/images/graph.jpg) +![Граф](./images/graph.jpeg) + +*Made with [okso.app](https://okso.app)* ## Ссылки diff --git a/src/data-structures/graph/README.zh-CN.md b/src/data-structures/graph/README.zh-CN.md index 49c977157e..1f885a43b9 100644 --- a/src/data-structures/graph/README.zh-CN.md +++ b/src/data-structures/graph/README.zh-CN.md @@ -11,9 +11,9 @@ 如果顶点对之间的边是有权重的,该图可称为加权图。 +![Graph](./images/graph.jpeg) - -![Graph](https://www.tutorialspoint.com/data_structures_algorithms/images/graph.jpg) +*Made with [okso.app](https://okso.app)* ## 参考 diff --git a/src/data-structures/graph/images/graph.jpeg b/src/data-structures/graph/images/graph.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..9fb02f308fb4c2540a31c4ddb37d8a278c0d865f GIT binary 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zn=ZZOxn8L9w??8*UGm|dFK`>m4g|O>J^!z}V?&z%oOo+CKn6R@;r9NFSspCL(rdo3 zvQ`c502rV3%y&zihpsN)0pMX7#O&QQ&R$>NJ+B(;HNeXF3`+!q@!Ls@!mi>>9;&Dz zbRfagdeOU~dtw4~8gL-;djuTNd#l`~og<1sJNY?2 zERs0Ja%Q-yG;Y1|4qOSXbW9Y6IIIJ^w=e^vo2ePY^!BanB&o>G_<|+^D)V-}gAo9A z6wmP8T*?Mk+^E9&L#WmDwqB5}p$H0TvjLi`C#Gvd^jiIM2GdN2Kff|E0IXw0_VKfS zO!dDO34v*U6O&DccE8e<7Wtm5^sD&S`BL)(dZxUlZ16v&um6@wYx(%)1o$X2B z8MiJ|(*H|2M#cl@?ui!u%)h_&pU;4EV_(qDS0sfmnMM*{ruy^W`~&=B4yoIJZs$OWbKEQqMT3?ts{;!q(*GC@x5ylLpew^XckN@XK{Mn-9$Nv6b$UXYGMZsT;MWaB4TT~(bIkt%u=1{( literal 0 HcmV?d00001 From 18fcead0dcceeb9b91edfe0ae84e559a085a04cb Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Thu, 11 Aug 2022 17:26:11 +0200 Subject: [PATCH 060/135] Update Hash Table image. --- src/data-structures/hash-table/README.fr-FR.md | 4 +++- src/data-structures/hash-table/README.ja-JP.md | 6 ++++-- src/data-structures/hash-table/README.ko-KR.md | 6 ++++-- src/data-structures/hash-table/README.md | 4 +++- src/data-structures/hash-table/README.pt-BR.md | 4 +++- src/data-structures/hash-table/README.ru-RU.md | 8 ++++++-- src/data-structures/hash-table/README.zh-CN.md | 6 ++++-- .../hash-table/images/hash-table.jpeg | Bin 0 -> 168634 bytes 8 files changed, 27 insertions(+), 11 deletions(-) create mode 100644 src/data-structures/hash-table/images/hash-table.jpeg diff --git a/src/data-structures/hash-table/README.fr-FR.md b/src/data-structures/hash-table/README.fr-FR.md index f32d8e5624..3dd176305b 100644 --- a/src/data-structures/hash-table/README.fr-FR.md +++ b/src/data-structures/hash-table/README.fr-FR.md @@ -17,7 +17,9 @@ hachage où la fonction de hachage génère le même index pour plusieurs clés. De telles collisions doivent être accommodées d'une manière ou d'une autre. -![Hash Table](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) +![Hash Table](./images/hash-table.jpeg) + +*Made with [okso.app](https://okso.app)* Collision de hachage résolue par chaînage séparé. diff --git a/src/data-structures/hash-table/README.ja-JP.md b/src/data-structures/hash-table/README.ja-JP.md index 85bf71d19c..e73ed01207 100644 --- a/src/data-structures/hash-table/README.ja-JP.md +++ b/src/data-structures/hash-table/README.ja-JP.md @@ -1,10 +1,12 @@ # ハッシュテーブル - + コンピュータサイエンスにおいて、**ハッシュテーブル**（ハッシュマップ)は*キーを値にマッピング*できる*連想配列*の機能を持ったデータ構造です。ハッシュテーブルは*ハッシュ関数*を使ってバケットやスロットの配列へのインデックスを計算し、そこから目的の値を見つけることができます。 理想的には、ハッシュ関数は各キーを一意のバケットに割り当てますが、ほとんどのハッシュテーブルは不完全なハッシュ関数を採用しているため、複数のキーに対して同じインデックスを生成した時にハッシュの衝突が起こります。このような衝突は何らかの方法で対処する必要があります。 -![Hash Table](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) +![Hash Table](./images/hash-table.jpeg) + +*Made with [okso.app](https://okso.app)* チェイン法によるハッシュの衝突の解決例 diff --git a/src/data-structures/hash-table/README.ko-KR.md b/src/data-structures/hash-table/README.ko-KR.md index 0b847df5ca..b7d13d6c28 100644 --- a/src/data-structures/hash-table/README.ko-KR.md +++ b/src/data-structures/hash-table/README.ko-KR.md @@ -11,7 +11,9 @@ _Read this in other languages:_ 이상적으로, 해시 함수는 각 키들을 고유 버킷에 할당하지만 대부분의 해시 테이블은 불완전한 해시 함수를 사용하기 때문에 해시 함수를 통해 두 개 이상의 키에 대해 동일한 인덱스를 생성하는 해시 충돌이 발생할 수 있습니다. 이러한 해시 충돌은 어떠한 방법으로든 해결되어야 합니다. -![Hash Table](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) +![Hash Table](./images/hash-table.jpeg) + +*Made with [okso.app](https://okso.app)* 다음은 분리 연결법을 통해 해시 충돌을 해결한 예시입니다. @@ -20,4 +22,4 @@ _Read this in other languages:_ ## 참고 - [Wikipedia](https://en.wikipedia.org/wiki/Hash_table) -- [YouTube](https://www.youtube.com/watch?v=shs0KM3wKv8&index=4&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) \ No newline at end of file +- [YouTube](https://www.youtube.com/watch?v=shs0KM3wKv8&index=4&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/data-structures/hash-table/README.md b/src/data-structures/hash-table/README.md index 3aec51b5c2..42c4a8dd3c 100644 --- a/src/data-structures/hash-table/README.md +++ b/src/data-structures/hash-table/README.md @@ -22,7 +22,9 @@ collisions where the hash function generates the same index for more than one key. Such collisions must be accommodated in some way. -![Hash Table](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) +![Hash Table](./images/hash-table.jpeg) + +*Made with [okso.app](https://okso.app)* Hash collision resolved by separate chaining. diff --git a/src/data-structures/hash-table/README.pt-BR.md b/src/data-structures/hash-table/README.pt-BR.md index 0adf9ca96b..6a9b660c21 100644 --- a/src/data-structures/hash-table/README.pt-BR.md +++ b/src/data-structures/hash-table/README.pt-BR.md @@ -13,7 +13,9 @@ imperfeita, pela qual poderá causar colisões de hashes onde a função de hash gera o mesmo índice para mais de uma chave.Tais colisões devem ser acomodados de alguma forma. -![Hash Table](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) +![Hash Table](./images/hash-table.jpeg) + +*Made with [okso.app](https://okso.app)* Colisão de hash resolvida por encadeamento separado. diff --git a/src/data-structures/hash-table/README.ru-RU.md b/src/data-structures/hash-table/README.ru-RU.md index 1b829049ab..513f403824 100644 --- a/src/data-structures/hash-table/README.ru-RU.md +++ b/src/data-structures/hash-table/README.ru-RU.md @@ -2,10 +2,12 @@ **Хеш-таблица** - структура данных, реализующая абстрактный тип данных *ассоциативный массив*, т.е. структура, которая *связывает ключи со значениями*. Хеш-таблица использует *хеш-функцию* для вычисления индекса в массиве, в котором может -быть найдено желаемое значение. Ниже представлена хеш-таблица, в которой ключом выступает имя человека, а значениями +быть найдено желаемое значение. Ниже представлена хеш-таблица, в которой ключом выступает имя человека, а значениями являются телефонные номера. Хеш-функция преобразует ключ-имя в индекс массива с телефонными номерами. -![Хеш-таблица](https://upload.wikimedia.org/wikipedia/commons/7/7d/Hash_table_3_1_1_0_1_0_0_SP.svg) +![Hash Table](./images/hash-table.jpeg) + +*Made with [okso.app](https://okso.app)* В идеале хеш-функция будет присваивать элементу массива уникальный ключ. Однако большинство реальных хеш-таблиц используют несовершенные хеш-функции. Это может привести к ситуациям, когда хеш-функция генерирует одинаковый индекс для @@ -14,9 +16,11 @@ Существует два варианта решения коллизий - хеш-таблица с цепочками и с открытой адресацией. Метод цепочек подразумевает хранение значений, соответствующих одному и тому же индексу в виде связного списка(цепочки). + ![Хеш цепочки](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) Метод открытой адресации помещает значение, для которого получен дублирующий индекс, в первую свободную ячейку. + ![Хеш открытая адресация](https://upload.wikimedia.org/wikipedia/commons/thumb/b/bf/Hash_table_5_0_1_1_1_1_0_SP.svg/380px-Hash_table_5_0_1_1_1_1_0_SP.svg.png) ## Ссылки diff --git a/src/data-structures/hash-table/README.zh-CN.md b/src/data-structures/hash-table/README.zh-CN.md index f9219df8df..3170283d59 100644 --- a/src/data-structures/hash-table/README.zh-CN.md +++ b/src/data-structures/hash-table/README.zh-CN.md @@ -1,6 +1,6 @@ # 哈希表 -在计算中, 一个 **哈希表(hash table 或hash map)** 是一种实现 *关联数组(associative array)* +在计算中, 一个 **哈希表(hash table 或hash map)** 是一种实现 *关联数组(associative array)* 的抽象数据类型, 该结构可以将 *键映射到值*。 哈希表使用 *哈希函数/散列函数* 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zB*qxLq8oW2@%XDEwH0<-*tEvq#GlOFSnvkM?=TvL#U1(thedTfPw_@=Z!lW-Ergd9 z?B7`f@g~1l^-o0-$&~Uwb;3SdTLZR8cZstOoH7$zHW2%ckXl#E=UBo2^6B1CP2;~|z`PSZ@7&Dq`$4CEJHuz6Zj|o8nODq4_ z|MAg(R-gV8;aVyn6N-7~wExrYAy50K>dC(``H%JR$3u8{s5_Sbe~_L3BaZ)3%>F+j cjs$tF?87lF-mZPS;LrJU8fViLuigK@0GSXN6951J literal 0 HcmV?d00001 From 21b72902f0914269a60288e7f204d4ac32784297 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 12 Aug 2022 20:45:10 +0200 Subject: [PATCH 061/135] Update Hash Table image. --- src/data-structures/hash-table/README.fr-FR.md | 6 +++--- src/data-structures/hash-table/README.ja-JP.md | 6 +++--- src/data-structures/hash-table/README.ko-KR.md | 4 +++- src/data-structures/hash-table/README.md | 6 +++--- src/data-structures/hash-table/README.pt-BR.md | 6 +++--- src/data-structures/hash-table/README.ru-RU.md | 6 +++--- src/data-structures/hash-table/README.zh-CN.md | 4 +++- .../images/collision-resolution.jpeg | Bin 0 -> 288967 bytes 8 files changed, 21 insertions(+), 17 deletions(-) create mode 100644 src/data-structures/hash-table/images/collision-resolution.jpeg diff --git a/src/data-structures/hash-table/README.fr-FR.md b/src/data-structures/hash-table/README.fr-FR.md index 3dd176305b..2fd41c8838 100644 --- a/src/data-structures/hash-table/README.fr-FR.md +++ b/src/data-structures/hash-table/README.fr-FR.md @@ -19,11 +19,11 @@ accommodées d'une manière ou d'une autre. ![Hash Table](./images/hash-table.jpeg) -*Made with [okso.app](https://okso.app)* - Collision de hachage résolue par chaînage séparé. -![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) +![Hash Collision](./images/collision-resolution.jpeg) + +*Made with [okso.app](https://okso.app)* ## Références diff --git a/src/data-structures/hash-table/README.ja-JP.md b/src/data-structures/hash-table/README.ja-JP.md index e73ed01207..d71cb273b9 100644 --- a/src/data-structures/hash-table/README.ja-JP.md +++ b/src/data-structures/hash-table/README.ja-JP.md @@ -6,11 +6,11 @@ ![Hash Table](./images/hash-table.jpeg) -*Made with [okso.app](https://okso.app)* - チェイン法によるハッシュの衝突の解決例 -![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) +![Hash Collision](./images/collision-resolution.jpeg) + +*Made with [okso.app](https://okso.app)* ## 参考 diff --git a/src/data-structures/hash-table/README.ko-KR.md b/src/data-structures/hash-table/README.ko-KR.md index b7d13d6c28..b3a8c94066 100644 --- a/src/data-structures/hash-table/README.ko-KR.md +++ b/src/data-structures/hash-table/README.ko-KR.md @@ -17,7 +17,9 @@ _Read this in other languages:_ 다음은 분리 연결법을 통해 해시 충돌을 해결한 예시입니다. -![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) +![Hash Collision](./images/collision-resolution.jpeg) + +*Made with [okso.app](https://okso.app)* ## 참고 diff --git a/src/data-structures/hash-table/README.md b/src/data-structures/hash-table/README.md index 42c4a8dd3c..8711bd9b49 100644 --- a/src/data-structures/hash-table/README.md +++ b/src/data-structures/hash-table/README.md @@ -24,11 +24,11 @@ accommodated in some way. ![Hash Table](./images/hash-table.jpeg) -*Made with [okso.app](https://okso.app)* - Hash collision resolved by separate chaining. -![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) +![Hash Collision](./images/collision-resolution.jpeg) + +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/data-structures/hash-table/README.pt-BR.md b/src/data-structures/hash-table/README.pt-BR.md index 6a9b660c21..9abbb48890 100644 --- a/src/data-structures/hash-table/README.pt-BR.md +++ b/src/data-structures/hash-table/README.pt-BR.md @@ -15,11 +15,11 @@ acomodados de alguma forma. ![Hash Table](./images/hash-table.jpeg) -*Made with [okso.app](https://okso.app)* - Colisão de hash resolvida por encadeamento separado. -![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) +![Hash Collision](./images/collision-resolution.jpeg) + +*Made with [okso.app](https://okso.app)* ## Referências diff --git a/src/data-structures/hash-table/README.ru-RU.md b/src/data-structures/hash-table/README.ru-RU.md index 513f403824..4f17d93f52 100644 --- a/src/data-structures/hash-table/README.ru-RU.md +++ b/src/data-structures/hash-table/README.ru-RU.md @@ -7,8 +7,6 @@ ![Hash Table](./images/hash-table.jpeg) -*Made with [okso.app](https://okso.app)* - В идеале хеш-функция будет присваивать элементу массива уникальный ключ. Однако большинство реальных хеш-таблиц используют несовершенные хеш-функции. Это может привести к ситуациям, когда хеш-функция генерирует одинаковый индекс для нескольких ключей. Данные ситуации называются коллизиями и должны быть как-то разрешены. @@ -21,7 +19,9 @@ Метод открытой адресации помещает значение, для которого получен дублирующий индекс, в первую свободную ячейку. -![Хеш открытая адресация](https://upload.wikimedia.org/wikipedia/commons/thumb/b/bf/Hash_table_5_0_1_1_1_1_0_SP.svg/380px-Hash_table_5_0_1_1_1_1_0_SP.svg.png) +![Hash Collision](./images/collision-resolution.jpeg) + +*Made with [okso.app](https://okso.app)* ## Ссылки diff --git a/src/data-structures/hash-table/README.zh-CN.md b/src/data-structures/hash-table/README.zh-CN.md index 3170283d59..c53214aa88 100644 --- a/src/data-structures/hash-table/README.zh-CN.md +++ b/src/data-structures/hash-table/README.zh-CN.md @@ -15,7 +15,9 @@ 通过单独的链接解决哈希冲突 -![Hash Collision](https://upload.wikimedia.org/wikipedia/commons/d/d0/Hash_table_5_0_1_1_1_1_1_LL.svg) +![Hash Collision](./images/collision-resolution.jpeg) + +*Made with [okso.app](https://okso.app)* ## 参考 diff --git 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17 00:00:00 2001 From: Oleksii Trekhleb Date: Sun, 21 Aug 2022 17:08:30 +0200 Subject: [PATCH 066/135] Update DS images. --- .../images/doubly-linked-list.jpeg | Bin 109315 -> 108334 bytes src/data-structures/graph/images/graph.jpeg | Bin 135330 -> 134354 bytes .../images/collision-resolution.jpeg | Bin 281785 -> 267727 bytes .../hash-table/images/hash-table.jpeg | Bin 168634 -> 164355 bytes .../heap/images/array-representation.jpeg | Bin 111908 -> 113837 bytes src/data-structures/heap/images/max-heap.jpeg | Bin 80393 -> 79702 bytes src/data-structures/heap/images/min-heap.jpeg | Bin 82405 -> 82268 bytes .../linked-list/images/linked-list.jpeg | Bin 64733 -> 64648 bytes .../images/binary-search-tree.jpg | Bin 149145 -> 149808 bytes src/data-structures/trie/images/trie.jpg | Bin 146598 -> 148834 bytes 10 files changed, 0 insertions(+), 0 deletions(-) diff --git a/src/data-structures/doubly-linked-list/images/doubly-linked-list.jpeg 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ZeHq1}dknfLc?9^UEdS_X!F|)f{{=eWGAsZ9 From 4d2d7189c631218b9c713c8ac070ac4a1d98f6ff Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Tue, 30 Aug 2022 09:26:36 +0200 Subject: [PATCH 075/135] Add a link to minimalistic data structure sketches. (#933) --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 4a870ccfed..f0e90fc8d3 100644 --- a/README.md +++ b/README.md @@ -301,7 +301,8 @@ npm test -- 'playground' ### References -[▶ Data Structures and Algorithms on YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [▶ Data Structures and Algorithms on YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [✍🏻 Data Structure Sketches](https://okso.app/showcase/data-structures) ### Big O Notation From ebfe961f0f61b641a1f4d340ddffe323891ab0b0 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Wed, 21 Sep 2022 09:10:09 +0200 Subject: [PATCH 076/135] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f0e90fc8d3..dd4ef9b531 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,9 @@ # JavaScript Algorithms and Data Structures -> 🇺🇦 UKRAINE [IS BEING ATTACKED](https://twitter.com/MFA_Ukraine) BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. +> 🇺🇦 UKRAINE [IS BEING ATTACKED](https://war.ukraine.ua/) BY RUSSIAN ARMY. CIVILIANS ARE GETTING KILLED. RESIDENTIAL AREAS ARE GETTING BOMBED. > - Help Ukraine via [National Bank of Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) > - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate-en/) fund -> - More info on [war.ukraine.ua](https://war.ukraine.ua/) +> - More info on [war.ukraine.ua](https://war.ukraine.ua/) and [MFA of Ukraine](https://twitter.com/MFA_Ukraine) [![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster) [![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) From d3c0ee6f7af3fce4a3a2bdc1c5be36d7c2d9793a Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Wed, 21 Sep 2022 09:12:46 +0200 Subject: [PATCH 077/135] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index dd4ef9b531..d2d0bc75a4 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,8 @@ > - Help Ukraine via [SaveLife](https://savelife.in.ua/en/donate-en/) fund > - More info on [war.ukraine.ua](https://war.ukraine.ua/) and [MFA of Ukraine](https://twitter.com/MFA_Ukraine) +

+ [![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow%3ACI+branch%3Amaster) [![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) From 26a27f360a86548039af5dd0e1d593569a37c3b4 Mon Sep 17 00:00:00 2001 From: "David (Dato) Kadaria" <94402615+davidkadaria@users.noreply.github.com> Date: Mon, 10 Oct 2022 17:02:41 +0400 Subject: [PATCH 078/135] Add Georgian translation for 'algorithms: Factorial' (#947) * Translated Factorial * Renamed file and added link to it from the original file * Replaced Wikipedia link with Georgian version --- src/algorithms/math/factorial/README.ka-GE.md | 32 +++++++++++++++++++ src/algorithms/math/factorial/README.md | 2 +- 2 files changed, 33 insertions(+), 1 deletion(-) create mode 100644 src/algorithms/math/factorial/README.ka-GE.md diff --git a/src/algorithms/math/factorial/README.ka-GE.md b/src/algorithms/math/factorial/README.ka-GE.md new file mode 100644 index 0000000000..1d02b9f7d3 --- /dev/null +++ b/src/algorithms/math/factorial/README.ka-GE.md @@ -0,0 +1,32 @@ +# ფაქტორიალი + +მათემატიკაში `n` ნატურალური რიცხვის ფაქტორიალი +(აღინიშნება `n!` სიმბოლოთი) +არის ყველა ნატურალური რიცხვის ნამრავლი 1-იდან `n`-ის ჩათვლით. მაგალითად: + +``` +5! = 5 * 4 * 3 * 2 * 1 = 120 +``` + +| n | n! | +| --- | ----------------: | +| 0 | 1 | +| 1 | 1 | +| 2 | 2 | +| 3 | 6 | +| 4 | 24 | +| 5 | 120 | +| 6 | 720 | +| 7 | 5 040 | +| 8 | 40 320 | +| 9 | 362 880 | +| 10 | 3 628 800 | +| 11 | 39 916 800 | +| 12 | 479 001 600 | +| 13 | 6 227 020 800 | +| 14 | 87 178 291 200 | +| 15 | 1 307 674 368 000 | + +## სქოლიო + +[Wikipedia](https://ka.wikipedia.org/wiki/%E1%83%9B%E1%83%90%E1%83%97%E1%83%94%E1%83%9B%E1%83%90%E1%83%A2%E1%83%98%E1%83%99%E1%83%A3%E1%83%A0%E1%83%98_%E1%83%A4%E1%83%90%E1%83%A5%E1%83%A2%E1%83%9D%E1%83%A0%E1%83%98%E1%83%90%E1%83%9A%E1%83%98) diff --git a/src/algorithms/math/factorial/README.md b/src/algorithms/math/factorial/README.md index 032121dfdf..5f7f0e1129 100644 --- a/src/algorithms/math/factorial/README.md +++ b/src/algorithms/math/factorial/README.md @@ -1,7 +1,7 @@ # Factorial _Read this in other languages:_ -[_简体中文_](README.zh-CN.md), [français](README.fr-FR.md), [turkish](README.tr-TR.md). +[_简体中文_](README.zh-CN.md), [français](README.fr-FR.md), [turkish](README.tr-TR.md), [ქართული](README.ka-GE.md). In mathematics, the factorial of a non-negative integer `n`, denoted by `n!`, is the product of all positive integers less From 9ef6650207338c41eccb0e303b865ac8c3ff3e2b Mon Sep 17 00:00:00 2001 From: "Oleksandr (Sasha) Khivrych" Date: Mon, 10 Oct 2022 15:05:58 +0200 Subject: [PATCH 079/135] feat: added ukrainian translations for hash table (#948) Co-authored-by: Oleksii Trekhleb --- src/data-structures/hash-table/README.md | 11 +++---- .../hash-table/README.uk-UA.md | 29 +++++++++++++++++++ 2 files changed, 35 insertions(+), 5 deletions(-) create mode 100644 src/data-structures/hash-table/README.uk-UA.md diff --git a/src/data-structures/hash-table/README.md b/src/data-structures/hash-table/README.md index 8711bd9b49..f0d0c9932d 100644 --- a/src/data-structures/hash-table/README.md +++ b/src/data-structures/hash-table/README.md @@ -6,12 +6,13 @@ _Read this in other languages:_ [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md), -[_한국어_](README.ko-KR.md) +[_한국어_](README.ko-KR.md), +[_Українська_](README.uk-UA.md) In computing, a **hash table** (hash map) is a data -structure which implements an *associative array* -abstract data type, a structure that can *map keys -to values*. A hash table uses a *hash function* to +structure which implements an _associative array_ +abstract data type, a structure that can _map keys +to values_. A hash table uses a _hash function_ to compute an index into an array of buckets or slots, from which the desired value can be found @@ -28,7 +29,7 @@ Hash collision resolved by separate chaining. ![Hash Collision](./images/collision-resolution.jpeg) -*Made with [okso.app](https://okso.app)* +_Made with [okso.app](https://okso.app)_ ## References diff --git a/src/data-structures/hash-table/README.uk-UA.md b/src/data-structures/hash-table/README.uk-UA.md new file mode 100644 index 0000000000..2ab3183599 --- /dev/null +++ b/src/data-structures/hash-table/README.uk-UA.md @@ -0,0 +1,29 @@ +# Геш таблиця + +**Геш таблиця** - структура даних, що реалізує абстрактний тип даних асоціативний масив, тобто. структура, яка +_зв'язує ключі зі значеннями_. Геш-таблиця використовує _геш-функцію_ для обчислення індексу в масиві, в якому може +бути знайдено бажане значення. Нижче представлена геш-таблиця, у якій ключем виступає ім'я людини, а значеннями +телефонні номери. Геш-функція перетворює ключ-ім'я на індекс масиву з телефонними номерами. + +![Hash Table](./images/hash-table.jpeg) + +В ідеалі геш-функція присвоюватиме елементу масиву унікальний ключ. Проте більшість реальних геш-таблиць +використовують недосконалі геш-функції. Це може призвести до ситуацій, коли геш-функція генерує однаковий індекс для +кількох ключів. Ці ситуації називаються колізіями і мають бути якось вирішені. + +Існує два варіанти вирішення колізій - геш-таблиця з ланцюжками та з відкритою адресацією. + +Метод ланцюжків передбачає зберігання значень, відповідних одному й тому індексу як зв'язкового списку(ланцюжка). + +![Hash Collision](./images/collision-resolution.jpeg) + +_Made with [okso.app](https://okso.app)_ + +Метод відкритої адресації поміщає значення, для якого отримано дублюючий індекс, в першу вільну комірку. + +![Геш відкрита адресація](https://upload.wikimedia.org/wikipedia/commons/thumb/b/bf/Hash_table_5_0_1_1_1_1_0_SP.svg/380px-Hash_table_5_0_1_1_1_1_0_SP.svg.png) + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%93%D0%B5%D1%88-%D1%82%D0%B0%D0%B1%D0%BB%D0%B8%D1%86%D1%8F) +- [YouTube](https://www.youtube.com/watch?v=WTYaboK-NMk) From da6ae08851b4bb6f35cb3e7a36263cd68689168a Mon Sep 17 00:00:00 2001 From: Mateus Pfeffer <92607757+StPfeffer@users.noreply.github.com> Date: Mon, 10 Oct 2022 10:23:32 -0300 Subject: [PATCH 080/135] Brazilian Portuguese translation and typos fixes (#943) * Update README.pt-BR.md * TRIE README.pt-BR typo * TREE README.pt-BR typo * Stack README.pt-BR typo * Priority Queue README.pt-BR typo * hash-table README.pt-BR typo * doubly-linked-list README.pt-BR typo * disjoint-set README.pt-BR typo * bloom-filter README.pt-BR typo * merge-sort pt-BR translation * merge-sort README added pt-BR option * insertion sort pt-BR translation * insertion sort README added pt-br option * heap-sort pt-BR translation * heap-sort READMED added pt-BR option * bubble sort pt-BR typo * pt-BR translation for sorting algorithms Fixed typos and translated all the missing algorithms * Update README.pt-BR.md * linked list pt-BR translation * ml pt-BR translation * fix typo in README Co-authored-by: Oleksii Trekhleb --- README.pt-BR.md | 217 +++++++++--------- .../linked-list/reverse-traversal/README.md | 3 +- .../reverse-traversal/README.pt-BR.md | 23 ++ .../linked-list/traversal/README.md | 3 +- .../linked-list/traversal/README.pt-BR.md | 24 ++ src/algorithms/ml/k-means/README.md | 3 + src/algorithms/ml/k-means/README.pt-BR.md | 35 +++ src/algorithms/ml/knn/README.md | 3 + src/algorithms/ml/knn/README.pt-BR.md | 44 ++++ .../sorting/bubble-sort/README.pt-BR.md | 11 +- .../sorting/counting-sort/README.md | 3 + .../sorting/counting-sort/README.pt-br.md | 70 ++++++ src/algorithms/sorting/heap-sort/README.md | 3 + .../sorting/heap-sort/README.pt-BR.md | 20 ++ .../sorting/insertion-sort/README.md | 3 + .../sorting/insertion-sort/README.pt-BR.md | 22 ++ src/algorithms/sorting/merge-sort/README.md | 3 +- .../sorting/merge-sort/README.pt-BR.md | 38 +++ src/algorithms/sorting/quick-sort/README.md | 4 +- .../sorting/quick-sort/README.pt-BR.md | 12 +- src/algorithms/sorting/radix-sort/README.md | 3 + .../sorting/radix-sort/README.pt-BR.md | 48 ++++ .../sorting/selection-sort/README.md | 2 +- .../sorting/selection-sort/README.pt-BR.md | 4 +- src/algorithms/sorting/shell-sort/README.md | 3 + .../sorting/shell-sort/README.pt-BR.md | 60 +++++ .../bloom-filter/README.pt-BR.md | 4 +- .../disjoint-set/README.pt-BR.md | 10 +- .../doubly-linked-list/README.pt-BR.md | 6 +- .../hash-table/README.pt-BR.md | 4 +- .../priority-queue/README.pt-BR.md | 8 +- src/data-structures/stack/README.pt-BR.md | 8 +- src/data-structures/tree/README.pt-BR.md | 2 +- src/data-structures/trie/README.pt-BR.md | 6 +- 34 files changed, 567 insertions(+), 145 deletions(-) create mode 100644 src/algorithms/linked-list/reverse-traversal/README.pt-BR.md create mode 100644 src/algorithms/linked-list/traversal/README.pt-BR.md create mode 100644 src/algorithms/ml/k-means/README.pt-BR.md create mode 100644 src/algorithms/ml/knn/README.pt-BR.md create mode 100644 src/algorithms/sorting/counting-sort/README.pt-br.md create mode 100644 src/algorithms/sorting/heap-sort/README.pt-BR.md create mode 100644 src/algorithms/sorting/insertion-sort/README.pt-BR.md create mode 100644 src/algorithms/sorting/merge-sort/README.pt-BR.md create mode 100644 src/algorithms/sorting/radix-sort/README.pt-BR.md create mode 100644 src/algorithms/sorting/shell-sort/README.pt-BR.md diff --git a/README.pt-BR.md b/README.pt-BR.md index 3218869a07..a937e8c0bf 100644 --- a/README.pt-BR.md +++ b/README.pt-BR.md @@ -31,9 +31,7 @@ _Leia isto em outros idiomas:_ ## Estrutura de Dados Uma estrutura de dados é uma maneira particular de organizar e armazenar dados em um computador para que ele possa -ser acessado e modificado de forma eficiente. Mais precisamente, uma estrutura de dados é uma coleção de dados -valores, as relações entre eles e as funções ou operações que podem ser aplicadas a -os dados. +ser acessado e modificado de forma eficiente. Mais precisamente, uma estrutura de dados é uma coleção de valores de dados, as relações entre eles e as funções ou operações que podem ser aplicadas aos dados. `B` - Iniciante, `A` - Avançado @@ -42,17 +40,17 @@ os dados. * `B` [Fila (Queue)](src/data-structures/queue/README.pt-BR.md) * `B` [Pilha (Stack)](src/data-structures/stack/README.pt-BR.md) * `B` [Tabela de Hash (Hash Table)](src/data-structures/hash-table/README.pt-BR.md) -* `B` [Heap](src/data-structures/heap/README.pt-BR.md) +* `B` [Heap](src/data-structures/heap/README.pt-BR.md) - versões de heap máximo e mínimo * `B` [Fila de Prioridade (Priority Queue)](src/data-structures/priority-queue/README.pt-BR.md) -* `A` [Árvore de prefixos (Trie)](src/data-structures/trie/README.pt-BR.md) +* `A` [Árvore de Prefixos (Trie)](src/data-structures/trie/README.pt-BR.md) * `A` [Árvore (Tree)](src/data-structures/tree/README.pt-BR.md) * `A` [Árvore de Pesquisa Binária (Binary Search Tree)](src/data-structures/tree/binary-search-tree/README.pt-BR.md) * `A` [Árvore AVL (AVL Tree)](src/data-structures/tree/avl-tree/README.pt-BR.md) - * `A` [Árvore Vermelha-Preta (Red-Black Tree)](src/data-structures/tree/red-black-tree/README.pt-BR.md) - * `A` [Árvore de Segmento (Segment Tree)](src/data-structures/tree/segment-tree/README.pt-BR.md) - Com exemplos de consultas min / max / sum range + * `A` [Árvore Rubro-Negra (Red-Black Tree)](src/data-structures/tree/red-black-tree/README.pt-BR.md) + * `A` [Árvore de Segmento (Segment Tree)](src/data-structures/tree/segment-tree/README.pt-BR.md) - com exemplos de consultas min / max / sum range * `A` [Árvore Fenwick (Fenwick Tree)](src/data-structures/tree/fenwick-tree/README.pt-BR.md) (Árvore indexada binária) * `A` [Grafo (Graph)](src/data-structures/graph/README.pt-BR.md) (ambos dirigidos e não direcionados) -* `A` [Conjunto Disjuntor (Disjoint Set)](src/data-structures/disjoint-set/README.pt-BR.md) +* `A` [Conjunto Disjunto (Disjoint Set)](src/data-structures/disjoint-set/README.pt-BR.md) * `A` [Filtro Bloom (Bloom Filter)](src/data-structures/bloom-filter/README.pt-BR.md) ## Algoritmos @@ -72,36 +70,37 @@ um conjunto de regras que define precisamente uma sequência de operações. * `B` [Algoritmo Euclidiano](src/algorithms/math/euclidean-algorithm) - Calcular o Máximo Divisor Comum (MDC) * `B` [Mínimo Múltiplo Comum](src/algorithms/math/least-common-multiple) Calcular o Mínimo Múltiplo Comum (MMC) * `B` [Peneira de Eratóstenes](src/algorithms/math/sieve-of-eratosthenes) - Encontrar todos os números primos até um determinado limite - * `B` [Potência de dois](src/algorithms/math/is-power-of-two) - Verifique se o número é a potência de dois (algoritmos ingênuos e bit a bit) + * `B` [Potência de Dois](src/algorithms/math/is-power-of-two) - Verifique se o número é a potência de dois (algoritmos ingênuos e bit a bit) * `B` [Triângulo de Pascal](src/algorithms/math/pascal-triangle) - * `B` [Número complexo](src/algorithms/math/complex-number) - Números complexos e operações básicas com eles - * `A` [Partição inteira](src/algorithms/math/integer-partition) + * `B` [Número Complexo](src/algorithms/math/complex-number) - Números complexos e operações básicas com eles + * `A` [Partição Inteira](src/algorithms/math/integer-partition) * `A` [Algoritmo Liu Hui π](src/algorithms/math/liu-hui) - Cálculos aproximados de π baseados em N-gons * **Conjuntos** - * `B` [Produto cartesiano](src/algorithms/sets/cartesian-product) - Produto de vários conjuntos + * `B` [Produto Cartesiano](src/algorithms/sets/cartesian-product) - Produto de vários conjuntos * `B` [Permutações de Fisher–Yates](src/algorithms/sets/fisher-yates) - Permutação aleatória de uma sequência finita * `A` [Potência e Conjunto](src/algorithms/sets/power-set) - Todos os subconjuntos de um conjunto * `A` [Permutações](src/algorithms/sets/permutations) (com e sem repetições) * `A` [Combinações](src/algorithms/sets/combinations) (com e sem repetições) - * `A` [Mais longa subsequência comum](src/algorithms/sets/longest-common-subsequence) (LCS) - * `A` [Maior subsequência crescente](src/algorithms/sets/longest-increasing-subsequence) - * `A` [Supersequência Comum mais curta](src/algorithms/sets/shortest-common-supersequence) (SCS) - * `A` [Problema da mochila](src/algorithms/sets/knapsack-problem) - "0/1" e "Não consolidado" - * `A` [Máximo Subarray](src/algorithms/sets/maximum-subarray) - "Força bruta" e " Programação Dinâmica" versões (Kadane's) + * `A` [Mais Longa Subsequência Comum](src/algorithms/sets/longest-common-subsequence) (LCS) + * `A` [Maior Subsequência Crescente](src/algorithms/sets/longest-increasing-subsequence) + * `A` [Supersequência Comum Mais Curta](src/algorithms/sets/shortest-common-supersequence) (SCS) + * `A` [Problema da Mochila](src/algorithms/sets/knapsack-problem) - "0/1" e "Não consolidado" + * `A` [Subarray Máximo](src/algorithms/sets/maximum-subarray) - "Força bruta" e "Programação Dinâmica", versões de Kadane * `A` [Soma de Combinação](src/algorithms/sets/combination-sum) - Encontre todas as combinações que formam uma soma específica * **Cadeia de Caracteres** - * `B` [Hamming Distance](src/algorithms/string/hamming-distance) - Número de posições em que os símbolos são diferentes - * `A` [Levenshtein Distance](src/algorithms/string/levenshtein-distance) - Distância mínima de edição entre duas sequências - * `A` [Knuth–Morris–Pratt Algorithm](src/algorithms/string/knuth-morris-pratt) (Algoritmo KMP) - Pesquisa de substring (correspondência de padrão) + * `B` [Distância de Hamming](src/algorithms/string/hamming-distance) - Número de posições em que os símbolos são diferentes + * `B` [Palíndromos](src/algorithms/string/palindrome) - Verifique se a cadeia de caracteres (string) é a mesma ao contrário + * `A` [Distância Levenshtein](src/algorithms/string/levenshtein-distance) - Distância mínima de edição entre duas sequências + * `A` [Algoritmo Knuth–Morris–Pratt](src/algorithms/string/knuth-morris-pratt) (Algoritmo KMP) - Pesquisa de substring (correspondência de padrão) * `A` [Z Algorithm](src/algorithms/string/z-algorithm) - Pesquisa de substring (correspondência de padrão) - * `A` [Rabin Karp Algorithm](src/algorithms/string/rabin-karp) - Pesquisa de substring - * `A` [Longest Common Substring](src/algorithms/string/longest-common-substring) - * `A` [Regular Expression Matching](src/algorithms/string/regular-expression-matching) + * `A` [Algoritmo de Rabin Karp](src/algorithms/string/rabin-karp) - Pesquisa de substring + * `A` [Substring Comum Mais Longa](src/algorithms/string/longest-common-substring) + * `A` [Expressões Regulares Correspondentes](src/algorithms/string/regular-expression-matching) * **Buscas** - * `B` [Linear Search](src/algorithms/search/linear-search) - * `B` [Jump Search](src/algorithms/search/jump-search) (ou Bloquear pesquisa) - Pesquisar na matriz ordenada - * `B` [Binary Search](src/algorithms/search/binary-search) - Pesquisar na matriz ordenada - * `B` [Interpolation Search](src/algorithms/search/interpolation-search) - Pesquisar em matriz classificada uniformemente distribuída + * `B` [Busca Linear (Linear Search)](src/algorithms/search/linear-search) + * `B` [Busca por Saltos (Jump Search)](src/algorithms/search/jump-search) - Pesquisa em matriz ordenada + * `B` [Busca Binária (Binary Search)](src/algorithms/search/binary-search) - Pesquisa em matriz ordenada + * `B` [Busca por Interpolação (Interpolation Search)](src/algorithms/search/interpolation-search) - Pesquisa em matriz classificada uniformemente distribuída * **Classificação** * `B` [Bubble Sort](src/algorithms/sorting/bubble-sort) * `B` [Selection Sort](src/algorithms/sorting/selection-sort) @@ -112,35 +111,35 @@ um conjunto de regras que define precisamente uma sequência de operações. * `B` [Shellsort](src/algorithms/sorting/shell-sort) * `B` [Counting Sort](src/algorithms/sorting/counting-sort) * `B` [Radix Sort](src/algorithms/sorting/radix-sort) -* **Arvóres** - * `B` [Depth-First Search](src/algorithms/tree/depth-first-search) (DFS) - * `B` [Breadth-First Search](src/algorithms/tree/breadth-first-search) (BFS) +* **Árvores** + * `B` [Busca em Profundidade (Depth-First Search)](src/algorithms/tree/depth-first-search) (DFS) + * `B` [Busca em Largura (Breadth-First Search)](src/algorithms/tree/breadth-first-search) (BFS) * **Grafos** - * `B` [Depth-First Search](src/algorithms/graph/depth-first-search) (DFS) - * `B` [Breadth-First Search](src/algorithms/graph/breadth-first-search) (BFS) - * `B` [Kruskal’s Algorithm](src/algorithms/graph/kruskal) - Encontrar Árvore Mínima de Abrangência (MST) para grafo não direcionado ponderado - * `A` [Dijkstra Algorithm](src/algorithms/graph/dijkstra) - Encontrar caminhos mais curtos para todos os vértices do grafo a partir de um único vértice - * `A` [Bellman-Ford Algorithm](src/algorithms/graph/bellman-ford) - Encontrar caminhos mais curtos para todos os vértices do grafo a partir de um único vértice - * `A` [Floyd-Warshall Algorithm](src/algorithms/graph/floyd-warshall) - Encontrar caminhos mais curtos entre todos os pares de vértices - * `A` [Detect Cycle](src/algorithms/graph/detect-cycle) - Para gráficos direcionados e não direcionados (versões baseadas em DFS e Conjunto Disjuntivo) - * `A` [Prim’s Algorithm](src/algorithms/graph/prim) - Encontrando Árvore Mínima de Abrangência (MST) para grafo não direcionado ponderado - * `A` [Topological Sorting](src/algorithms/graph/topological-sorting) - Métodos DFS - * `A` [Articulation Points](src/algorithms/graph/articulation-points) -O algoritmo de Tarjan (baseado em DFS) - * `A` [Bridges](src/algorithms/graph/bridges) - Algoritmo baseado em DFS - * `A` [Eulerian Path and Eulerian Circuit](src/algorithms/graph/eulerian-path) - Algoritmo de Fleury - Visite todas as bordas exatamente uma vez - * `A` [Hamiltonian Cycle](src/algorithms/graph/hamiltonian-cycle) - Visite todas as bordas exatamente uma vez - * `A` [Strongly Connected Components](src/algorithms/graph/strongly-connected-components) - Algoritmo de Kosaraju's - * `A` [Travelling Salesman Problem](src/algorithms/graph/travelling-salesman) - Rota mais curta possível que visita cada cidade e retorna à cidade de origem + * `B` [Busca em Profundidade (Depth-First Search)](src/algorithms/graph/depth-first-search) (DFS) + * `B` [Busca em Largura (Breadth-First Search)](src/algorithms/graph/breadth-first-search) (BFS) + * `B` [Algoritmo de Kruskal](src/algorithms/graph/kruskal) - Encontrando Árvore Mínima de Abrangência (MST) para grafo conexo com pesos + * `A` [Algoritmo de Dijkstra](src/algorithms/graph/dijkstra) - Encontrar caminhos mais curtos para todos os vértices do grafo a partir de um único vértice + * `A` [Algoritmo de Bellman-Ford](src/algorithms/graph/bellman-ford) - Encontrar caminhos mais curtos para todos os vértices do grafo a partir de um único vértice + * `A` [Algoritmo de Floyd-Warshall](src/algorithms/graph/floyd-warshall) - Encontrar caminhos mais curtos entre todos os pares de vértices + * `A` [Detectar Ciclo](src/algorithms/graph/detect-cycle) - Para grafos direcionados e não direcionados (versões baseadas em DFS e Conjunto Disjuntivo) + * `A` [Algoritmo de Prim](src/algorithms/graph/prim) - Encontrando Árvore Mínima de Abrangência (MST) para grafo não direcionado ponderado + * `A` [Ordenação Topológica](src/algorithms/graph/topological-sorting) - Métodos DFS + * `A` [Pontos de Articulação](src/algorithms/graph/articulation-points) - O algoritmo de Tarjan (baseado em DFS) + * `A` [Pontes](src/algorithms/graph/bridges) - Algoritmo baseado em DFS + * `A` [Caminho e Circuito Euleriano](src/algorithms/graph/eulerian-path) - Algoritmo de Fleury - Visite todas as bordas exatamente uma vez + * `A` [Ciclo Hamiltoniano](src/algorithms/graph/hamiltonian-cycle) - Visite todas as bordas exatamente uma vez + * `A` [Componentes Fortemente Conectados](src/algorithms/graph/strongly-connected-components) - Algoritmo de Kosaraju + * `A` [Problema do Caixeiro Viajante](src/algorithms/graph/travelling-salesman) - Rota mais curta possível que visita cada cidade e retorna à cidade de origem * **Criptografia** - * `B` [Polynomial Hash](src/algorithms/cryptography/polynomial-hash) - Função de hash de rolagem baseada em polinômio + * `B` [Hash Polinomial](src/algorithms/cryptography/polynomial-hash) - Função de hash de rolagem baseada em polinômio * **Sem categoria** - * `B` [Tower of Hanoi](src/algorithms/uncategorized/hanoi-tower) - * `B` [Square Matrix Rotation](src/algorithms/uncategorized/square-matrix-rotation) - Algoritmo no local - * `B` [Jump Game](src/algorithms/uncategorized/jump-game) - Backtracking, programação dinâmica (top-down + bottom-up) e exemplos gananciosos - * `B` [Unique Paths](src/algorithms/uncategorized/unique-paths) - Backtracking, programação dinâmica e exemplos baseados no triângulo de Pascal - * `B` [Rain Terraces](src/algorithms/uncategorized/rain-terraces) - Trapping problema da água da chuva (programação dinâmica e versões de força bruta) - * `A` [N-Queens Problem](src/algorithms/uncategorized/n-queens) - * `A` [Knight's Tour](src/algorithms/uncategorized/knight-tour) + * `B` [Torre de Hanoi](src/algorithms/uncategorized/hanoi-tower) + * `B` [Rotação de Matriz Quadrada](src/algorithms/uncategorized/square-matrix-rotation) - Algoritmo no local + * `B` [Jogo do Salto](src/algorithms/uncategorized/jump-game) - Backtracking, programação dinâmica (top-down + bottom-up) e exemplos gananciosos + * `B` [Caminhos Únicos](src/algorithms/uncategorized/unique-paths) - Backtracking, programação dinâmica e exemplos baseados no triângulo de Pascal + * `B` [Terraços de Chuva](src/algorithms/uncategorized/rain-terraces) - Problema de retenção da água da chuva (programação dinâmica e versões de força bruta) + * `A` [Problema das N-Rainhas](src/algorithms/uncategorized/n-queens) + * `A` [Passeio do Cavaleiro](src/algorithms/uncategorized/knight-tour) ### Algoritmos por Paradigma @@ -149,54 +148,52 @@ de algoritmos. É uma abstração maior do que a noção de um algoritmo, assim algoritmo é uma abstração maior que um programa de computador. * **Força bruta** - Pense em todas as possibilidades e escolha a melhor solução - * `B` [Linear Search](src/algorithms/search/linear-search) - * `B` [Rain Terraces](src/algorithms/uncategorized/rain-terraces) - Trapping problema da água da chuva - * `A` [Maximum Subarray](src/algorithms/sets/maximum-subarray) - * `A` [Travelling Salesman Problem](src/algorithms/graph/travelling-salesman) - Rota mais curta possível que visita cada cidade e retorna à cidade de origem + * `B` [Busca Linear (Linear Search)](src/algorithms/search/linear-search) + * `B` [Terraços de Chuva](src/algorithms/uncategorized/rain-terraces) - Problema de retenção de água da chuva (programação dinâmica e versões de força bruta) + * `A` [Subarray Máximo](src/algorithms/sets/maximum-subarray) + * `A` [Problema do Caixeiro Viajante](src/algorithms/graph/travelling-salesman) - Rota mais curta possível que visita cada cidade e retorna à cidade de origem * **Ganância** - Escolha a melhor opção no momento, sem qualquer consideração pelo futuro - * `B` [Jump Game](src/algorithms/uncategorized/jump-game) - * `A` [Unbound Knapsack Problem](src/algorithms/sets/knapsack-problem) - * `A` [Dijkstra Algorithm](src/algorithms/graph/dijkstra) - Encontrar o caminho mais curto para todos os vértices do gráfico - * `A` [Prim’s Algorithm](src/algorithms/graph/prim) - Encontrando Árvore Mínima de Abrangência (MST) para grafo não direcionado ponderado - * `A` [Kruskal’s Algorithm](src/algorithms/graph/kruskal) - Encontrando Árvore Mínima de Abrangência (MST) para grafo não direcionado ponderado + * `B` [Jogo do Salto](src/algorithms/uncategorized/jump-game) + * `A` [Problema da Mochila](src/algorithms/sets/knapsack-problem) + * `A` [Algoritmo de Dijkstra](src/algorithms/graph/dijkstra) - Encontrar caminhos mais curtos para todos os vértices do grafo a partir de um único vértice + * `A` [Algoritmo de Prim](src/algorithms/graph/prim) - Encontrando Árvore Mínima de Abrangência (MST) para grafo não direcionado ponderado + * `A` [Algoritmo de Kruskal](src/algorithms/graph/kruskal) - Encontrando Árvore Mínima de Abrangência (MST) para grafo conexo com pesos * **Dividir e Conquistar** - Dividir o problema em partes menores e então resolver essas partes - * `B` [Busca binária (Binary Search)](src/algorithms/search/binary-search) - * `B` [Tower of Hanoi](src/algorithms/uncategorized/hanoi-tower) - * `B` [Pascal's Triangle](src/algorithms/math/pascal-triangle) - * `B` [Euclidean Algorithm](src/algorithms/math/euclidean-algorithm) - Calcular o Máximo Divisor Comum (MDC) + * `B` [Busca Binária (Binary Search)](src/algorithms/search/binary-search) + * `B` [Torre de Hanoi](src/algorithms/uncategorized/hanoi-tower) + * `B` [Triângulo de Pascal](src/algorithms/math/pascal-triangle) + * `B` [Algoritmo Euclidiano](src/algorithms/math/euclidean-algorithm) - Calcular o Máximo Divisor Comum (MDC) * `B` [Merge Sort](src/algorithms/sorting/merge-sort) * `B` [Quicksort](src/algorithms/sorting/quick-sort) - * `B` [Tree Depth-First Search](src/algorithms/tree/depth-first-search) (DFS) - * `B` [Graph Depth-First Search](src/algorithms/graph/depth-first-search) (DFS) - * `B` [Jump Game](src/algorithms/uncategorized/jump-game) - * `A` [Permutations](src/algorithms/sets/permutations) (com e sem repetições) - * `A` [Combinations](src/algorithms/sets/combinations) (com e sem repetições) + * `B` [Busca em Profundidade (Depth-First Search)](src/algorithms/tree/depth-first-search) (DFS) + * `B` [Busca em Largura (Breadth-First Search)](src/algorithms/graph/breadth-first-search) (BFS) + * `B` [Jogo do Salto](src/algorithms/uncategorized/jump-game) + * `A` [Permutações](src/algorithms/sets/permutations) (com e sem repetições) + * `A` [Combinações](src/algorithms/sets/combinations) (com e sem repetições) * **Programação Dinâmica** - Criar uma solução usando sub-soluções encontradas anteriormente - * `B` [Fibonacci Number](src/algorithms/math/fibonacci) - * `B` [Jump Game](src/algorithms/uncategorized/jump-game) - * `B` [Unique Paths](src/algorithms/uncategorized/unique-paths) - * `B` [Rain Terraces](src/algorithms/uncategorized/rain-terraces) - Trapping problema da água da chuva - * `A` [Levenshtein Distance](src/algorithms/string/levenshtein-distance) - Distância mínima de edição entre duas sequências - * `A` [Longest Common Subsequence](src/algorithms/sets/longest-common-subsequence) (LCS) - * `A` [Longest Common Substring](src/algorithms/string/longest-common-substring) - * `A` [Longest Increasing Subsequence](src/algorithms/sets/longest-increasing-subsequence) - * `A` [Shortest Common Supersequence](src/algorithms/sets/shortest-common-supersequence) - * `A` [0/1 Knapsack Problem](src/algorithms/sets/knapsack-problem) - * `A` [Integer Partition](src/algorithms/math/integer-partition) - * `A` [Maximum Subarray](src/algorithms/sets/maximum-subarray) - * `A` [Bellman-Ford Algorithm](src/algorithms/graph/bellman-ford) - Encontrar o caminho mais curto para todos os vértices do gráfico - * `A` [Floyd-Warshall Algorithm](src/algorithms/graph/floyd-warshall) - Encontrar caminhos mais curtos entre todos os pares de vértices - * `A` [Regular Expression Matching](src/algorithms/string/regular-expression-matching) -* **Backtracking** - Da mesma forma que a força bruta, tente gerar todas as soluções possíveis, mas cada vez que você gerar a próxima solução, você testará -se satisfizer todas as condições, e só então continuar gerando soluções subseqüentes. Caso contrário, volte atrás e siga um caminho diferente para encontrar uma solução. Normalmente, a passagem DFS do espaço de estados está sendo usada. - * `B` [Jump Game](src/algorithms/uncategorized/jump-game) - * `B` [Unique Paths](src/algorithms/uncategorized/unique-paths) - * `A` [Hamiltonian Cycle](src/algorithms/graph/hamiltonian-cycle) - Visite todos os vértices exatamente uma vez - * `A` [N-Queens Problem](src/algorithms/uncategorized/n-queens) - * `A` [Knight's Tour](src/algorithms/uncategorized/knight-tour) - * `A` [Combination Sum](src/algorithms/sets/combination-sum) - Encontre todas as combinações que formam uma soma específica -* **Branch & Bound** - Lembre-se da solução de menor custo encontrada em cada etapa do retrocesso -pesquisar e usar o custo da solução de menor custo encontrada até o limite inferior do custo de + * `B` [Número de Fibonacci](src/algorithms/math/fibonacci) + * `B` [Jogo do Salto](src/algorithms/uncategorized/jump-game) + * `B` [Caminhos Únicos](src/algorithms/uncategorized/unique-paths) + * `B` [Terraços de Chuva](src/algorithms/uncategorized/rain-terraces) - Trapping problema da água da chuva + * `A` [Distância Levenshtein](src/algorithms/string/levenshtein-distance) - Distância mínima de edição entre duas sequências + * `A` [Mais Longa Subsequência Comum](src/algorithms/sets/longest-common-subsequence) (LCS) + * `A` [Substring Comum Mais Longa](src/algorithms/string/longest-common-substring) + * `A` [Maior Subsequência Crescente](src/algorithms/sets/longest-increasing-subsequence) + * `A` [Supersequência Comum Mais Curta](src/algorithms/sets/shortest-common-supersequence) + * `A` [Problema da Mochila](src/algorithms/sets/knapsack-problem) + * `A` [Partição Inteira](src/algorithms/math/integer-partition) + * `A` [Subarray Máximo](src/algorithms/sets/maximum-subarray) + * `A` [Algoritmo de Bellman-Ford](src/algorithms/graph/bellman-ford) - Encontrar caminhos mais curtos para todos os vértices do grafo a partir de um único vértice + * `A` [Algoritmo de Floyd-Warshall](src/algorithms/graph/floyd-warshall) - Encontrar caminhos mais curtos entre todos os pares de vértices + * `A` [Expressões Regulares Correspondentes](src/algorithms/string/regular-expression-matching) +* **Backtracking** - Da mesma forma que a força bruta, tente gerar todas as soluções possíveis, mas, cada vez que você gerar a próxima solução será necessário testar se a mesma satisfaz todas as condições, e só então continuará a gerar as soluções subsequentes. Caso contrário, volte atrás e siga um caminho diferente para encontrar uma solução. Normalmente, a passagem DFS do espaço de estados está sendo usada. + * `B` [Jogo do Salto](src/algorithms/uncategorized/jump-game) + * `B` [Caminhos Únicos](src/algorithms/uncategorized/unique-paths) + * `A` [Ciclo Hamiltoniano](src/algorithms/graph/hamiltonian-cycle) - Visite todos os vértices exatamente uma vez + * `A` [Problema das N-Rainhas](src/algorithms/uncategorized/n-queens) + * `A` [Passeio do Cavaleiro](src/algorithms/uncategorized/knight-tour) + * `A` [Soma de Combinação](src/algorithms/sets/combination-sum) - Encontre todas as combinações que formam uma soma específica +* **Branch & Bound** - Lembre-se da solução de menor custo encontrada em cada etapa do retrocesso, pesquisar e usar o custo da solução de menor custo encontrada até o limite inferior do custo de solução de menor custo para o problema, a fim de descartar soluções parciais com custos maiores que o solução de menor custo encontrada até o momento. Normalmente, a travessia BFS em combinação com a passagem DFS do espaço de estados árvore está sendo usada @@ -225,10 +222,19 @@ npm test ``` npm test -- 'LinkedList' ``` +**Solução de problemas** + +Caso o linting ou o teste estejam falhando, tente excluir a pasta node_modules e reinstalar os pacotes npm: +``` +rm -rf ./node_modules +npm i +``` + +Verifique também se você está usando uma versão correta do Node (>=14.16.0). Se você estiver usando [nvm](https://github.com/nvm-sh/nvm) para gerenciamento de versão do Node, você pode executar `nvm use` a partir da pasta raiz do projeto e a versão correta será escolhida. -**Parque infantil** +**Playground** -Você pode brincar com estruturas de dados e algoritmos em `./src/playground/playground.js` arquivar e escrever +Você pode brincar com estruturas de dados e algoritmos no arquivo `./src/playground/playground.js` e escrever testes para isso em `./src/playground/__test__/playground.test.js`. Em seguida, basta executar o seguinte comando para testar se o código do seu playground funciona conforme o esperado: @@ -241,15 +247,16 @@ npm test -- 'playground' ### Referências -[▶ Estruturas de dados e algoritmos no YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [▶ Estruturas de Dados e Algoritmos no YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [✍🏻 Esboços de Estruturas de Dados](https://okso.app/showcase/data-structures) ### Notação Big O -Ordem de crescimento dos algoritmos especificados em notação Big O. +A notação Big O é usada para classificar algoritmos de acordo com a forma como seu tempo de execução ou requisitos de espaço crescem à medida que o tamanho da entrada aumenta. No gráfico abaixo você pode encontrar as ordens mais comuns de crescimento de algoritmos especificados na notação Big O. ![Notação Big-O](./assets/big-o-graph.png) -Fonte: [Notação Big-O dicas](http://bigocheatsheet.com/). +Fonte: [Notação Big-O Dicas](http://bigocheatsheet.com/). Abaixo está a lista de algumas das notações Big O mais usadas e suas comparações de desempenho em relação aos diferentes tamanhos dos dados de entrada. @@ -271,14 +278,14 @@ Abaixo está a lista de algumas das notações Big O mais usadas e suas compara | **Stack** | n | n | 1 | 1 | | | **Queue** | n | n | 1 | 1 | | | **Linked List** | n | n | 1 | 1 | | -| **Hash Table** | - | n | n | n | Em caso de uma função hash perfeita, os custos seriam O (1) | -| **Binary Search Tree** | n | n | n | n | No caso de custos de árvore equilibrados seria O (log (n)) +| **Hash Table** | - | n | n | n | Em caso de uma função hash perfeita, os custos seriam O(1) | +| **Binary Search Tree** | n | n | n | n | No caso de custos de árvore equilibrados seria O(log(n)) | **B-Tree** | log(n) | log(n) | log(n) | log(n) | | | **Red-Black Tree** | log(n) | log(n) | log(n) | log(n) | | | **AVL Tree** | log(n) | log(n) | log(n) | log(n) | | | **Bloom Filter** | - | 1 | 1 | - | Falsos positivos são possíveis durante a pesquisa | -### Array Sorting Algorithms Complexity +### Complexidade dos Algoritmos de Ordenação de Matrizes | Nome | Melhor | Média | Pior | Mémoria | Estável | Comentários | | --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | @@ -287,7 +294,7 @@ Abaixo está a lista de algumas das notações Big O mais usadas e suas compara | **Selection sort** | n2 | n2 | n2 | 1 | Não | | | **Heap sort** | n log(n) | n log(n) | n log(n) | 1 | Não | | | **Merge sort** | n log(n) | n log(n) | n log(n) | n | Sim | | -| **Quick sort** | n log(n) | n log(n) | n2 | log(n) | Não | O Quicksort geralmente é feito no local com o espaço de pilha O O(log(n)) stack space | +| **Quick sort** | n log(n) | n log(n) | n2 | log(n) | Não | O Quicksort geralmente é feito no local com espaço de pilha O(log(n)) | | **Shell sort** | n log(n) | depende da sequência de lacunas | n (log(n))2 | 1 | Não | | | **Counting sort** | n + r | n + r | n + r | n + r | Sim | r - maior número na matriz | | **Radix sort** | n * k | n * k | n * k | n + k | Sim | k - comprimento da chave mais longa | diff --git a/src/algorithms/linked-list/reverse-traversal/README.md b/src/algorithms/linked-list/reverse-traversal/README.md index 8a7e3d9e66..7e3f3cd6bb 100644 --- a/src/algorithms/linked-list/reverse-traversal/README.md +++ b/src/algorithms/linked-list/reverse-traversal/README.md @@ -1,7 +1,8 @@ # Reversed Linked List Traversal _Read this in other languages:_ -[中文](README.zh-CN.md) +[_中文_](README.zh-CN.md), +[_Português_](README.pt-BR.md) The task is to traverse the given linked list in reversed order. diff --git a/src/algorithms/linked-list/reverse-traversal/README.pt-BR.md b/src/algorithms/linked-list/reverse-traversal/README.pt-BR.md new file mode 100644 index 0000000000..b2761ad720 --- /dev/null +++ b/src/algorithms/linked-list/reverse-traversal/README.pt-BR.md @@ -0,0 +1,23 @@ +# Travessia de Lista Encadeada Reversa + +_Leia isso em outros idiomas:_ +[_中文_](README.zh-CN.md), +[_English_](README.md) + +A tarefa é percorrer a lista encadeada fornecida em ordem inversa. + +Por exemplo, para a seguinte lista vinculada: + +![](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) + +A ordem de travessia deve ser: + +```texto +37 → 99 → 12 +``` + +A complexidade de tempo é `O(n)` porque visitamos cada nó apenas uma vez. + +## Referência + +- [Wikipedia](https://en.wikipedia.org/wiki/Linked_list) diff --git a/src/algorithms/linked-list/traversal/README.md b/src/algorithms/linked-list/traversal/README.md index 9acbe98dd9..09b177494c 100644 --- a/src/algorithms/linked-list/traversal/README.md +++ b/src/algorithms/linked-list/traversal/README.md @@ -2,7 +2,8 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), -[中文](README.zh-CN.md) +[_中文_](README.zh-CN.md), +[_Português_](README.pt-BR.md) The task is to traverse the given linked list in straight order. diff --git a/src/algorithms/linked-list/traversal/README.pt-BR.md b/src/algorithms/linked-list/traversal/README.pt-BR.md new file mode 100644 index 0000000000..0fae9ed01a --- /dev/null +++ b/src/algorithms/linked-list/traversal/README.pt-BR.md @@ -0,0 +1,24 @@ +# Travessia de Lista Encadeada + +_Leia isso em outros idiomas:_ +[_Русский_](README.ru-RU.md), +[_中文_](README.zh-CN.md), +[_English_](README.md) + +A tarefa é percorrer a lista encadeada fornecida em ordem direta. + +Por exemplo, para a seguinte lista vinculada: + +![Singly linked list](https://upload.wikimedia.org/wikipedia/commons/6/6d/Singly-linked-list.svg) + +A ordem de travessia deve ser: + +```texto +12 → 99 → 37 +``` + +A complexidade de tempo é `O(n)` porque visitamos cada nó apenas uma vez. + +## Referência + +- [Wikipedia](https://en.wikipedia.org/wiki/Linked_list) diff --git a/src/algorithms/ml/k-means/README.md b/src/algorithms/ml/k-means/README.md index aebd60e100..4221880054 100644 --- a/src/algorithms/ml/k-means/README.md +++ b/src/algorithms/ml/k-means/README.md @@ -1,5 +1,8 @@ # k-Means Algorithm +_Read this in other languages:_ +[_Português_](README.pt-BR.md) + The **k-Means algorithm** is an unsupervised Machine Learning algorithm. It's a clustering algorithm, which groups the sample data on the basis of similarity between dimensions of vectors. In k-Means classification, the output is a set of classes assigned to each vector. Each cluster location is continuously optimized in order to get the accurate locations of each cluster such that they represent each group clearly. diff --git a/src/algorithms/ml/k-means/README.pt-BR.md b/src/algorithms/ml/k-means/README.pt-BR.md new file mode 100644 index 0000000000..d814ac19bc --- /dev/null +++ b/src/algorithms/ml/k-means/README.pt-BR.md @@ -0,0 +1,35 @@ +# Algoritmo k-Means + +_Leia isso em outros idiomas:_ +[_English_](README.md) + +O **algoritmo k-Means** é um algoritmo de aprendizado de máquina não supervisionado. É um algoritmo de agrupamento, que agrupa os dados da amostra com base na semelhança entre as dimensões dos vetores. + +Na classificação k-Means, a saída é um conjunto de classes atribuídas a cada vetor. Cada localização de cluster é continuamente otimizada para obter as localizações precisas de cada cluster de forma que representem cada grupo claramente. + +A ideia é calcular a similaridade entre a localização do cluster e os vetores de dados e reatribuir os clusters com base nela. [Distância Euclidiana](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/math/euclidean-distance) é usado principalmente para esta tarefa. + +![Distância Euclidiana entre dois pontos](https://upload.wikimedia.org/wikipedia/commons/5/55/Euclidean_distance_2d.svg) + +_Fonte: [Wikipedia](https://en.wikipedia.org/wiki/Euclidean_distance)_ + +O algoritmo é o seguinte: + +1. Verifique se há erros como dados inválidos/inconsistentes +2. Inicialize os locais do cluster `k` com pontos `k` iniciais/aleatórios +3. Calcule a distância de cada ponto de dados de cada cluster +4. Atribua o rótulo do cluster de cada ponto de dados igual ao do cluster em sua distância mínima +5. Calcule o centroide de cada cluster com base nos pontos de dados que ele contém +6. Repita cada uma das etapas acima até que as localizações do centroide estejam variando + +Aqui está uma visualização do agrupamento k-Means para melhor compreensão: + +![KNN Visualization 1](https://upload.wikimedia.org/wikipedia/commons/e/ea/K-means_convergence.gif) + +_Fonte: [Wikipedia](https://en.wikipedia.org/wiki/K-means_clustering)_ + +Os centroides estão se movendo continuamente para criar uma melhor distinção entre os diferentes conjuntos de pontos de dados. Como podemos ver, após algumas iterações, a diferença de centroides é bastante baixa entre as iterações. Por exemplo, entre as iterações `13` e `14` a diferença é bem pequena porque o otimizador está ajustando os casos limite. + +## Referências + +- [k-Means neighbors algorithm on Wikipedia](https://en.wikipedia.org/wiki/K-means_clustering) diff --git a/src/algorithms/ml/knn/README.md b/src/algorithms/ml/knn/README.md index 0d61c14fb7..1fc168eaf2 100644 --- a/src/algorithms/ml/knn/README.md +++ b/src/algorithms/ml/knn/README.md @@ -1,5 +1,8 @@ # k-Nearest Neighbors Algorithm +_Read this in other languages:_ +[_Português_](README.pt-BR.md) + The **k-nearest neighbors algorithm (k-NN)** is a supervised Machine Learning algorithm. It's a classification algorithm, determining the class of a sample vector using a sample data. In k-NN classification, the output is a class membership. An object is classified by a plurality vote of its neighbors, with the object being assigned to the class most common among its `k` nearest neighbors (`k` is a positive integer, typically small). If `k = 1`, then the object is simply assigned to the class of that single nearest neighbor. diff --git a/src/algorithms/ml/knn/README.pt-BR.md b/src/algorithms/ml/knn/README.pt-BR.md new file mode 100644 index 0000000000..b2abdd784f --- /dev/null +++ b/src/algorithms/ml/knn/README.pt-BR.md @@ -0,0 +1,44 @@ +# Algoritmo de k-vizinhos mais próximos + +_Leia isso em outros idiomas:_ +[_English_](README.md) + +O **algoritmo de k-vizinhos mais próximos (k-NN)** é um algoritmo de aprendizado de máquina supervisionado. É um algoritmo de classificação, determinando a classe de um vetor de amostra usando dados de amostra. + +Na classificação k-NN, a saída é uma associação de classe. Um objeto é classificado por uma pluralidade de votos de seus vizinhos, com o objeto sendo atribuído à classe mais comum entre seus `k` vizinhos mais próximos (`k` é um inteiro positivo, tipicamente pequeno). Se `k = 1`, então o objeto é simplesmente atribuído à classe daquele único vizinho mais próximo. + +The idea is to calculate the similarity between two data points on the basis of a distance metric. [Distância Euclidiana](https://github.com/trekhleb/javascript-algorithms/tree/master/src/algorithms/math/euclidean-distance) é usado principalmente para esta tarefa. + +![Distância Euclidiana entre dois pontos](https://upload.wikimedia.org/wikipedia/commons/5/55/Euclidean_distance_2d.svg) + +_Fonte: [Wikipedia](https://en.wikipedia.org/wiki/Euclidean_distance)_ + +O algoritmo é o seguinte: + +1. Verifique se há erros como dados/rótulos inválidos. +2. Calcule a distância euclidiana de todos os pontos de dados nos dados de treinamento com o ponto de classificação +3. Classifique as distâncias dos pontos junto com suas classes em ordem crescente +4. Pegue as classes iniciais `K` e encontre o modo para obter a classe mais semelhante +5. Informe a classe mais semelhante + +Aqui está uma visualização da classificação k-NN para melhor compreensão: + +![KNN Visualization 1](https://upload.wikimedia.org/wikipedia/commons/e/e7/KnnClassification.svg) + +_Fonte: [Wikipedia](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm)_ + +A amostra de teste (ponto verde) deve ser classificada em quadrados azuis ou em triângulos vermelhos. Se `k = 3` (círculo de linha sólida) é atribuído aos triângulos vermelhos porque existem `2` triângulos e apenas `1` quadrado dentro do círculo interno. Se `k = 5` (círculo de linha tracejada) é atribuído aos quadrados azuis (`3` quadrados vs. `2` triângulos dentro do círculo externo). + +Outro exemplo de classificação k-NN: + +![KNN Visualization 2](https://media.geeksforgeeks.org/wp-content/uploads/graph2-2.png) + +_Fonte: [GeeksForGeeks](https://media.geeksforgeeks.org/wp-content/uploads/graph2-2.png)_ + +Aqui, como podemos ver, a classificação dos pontos desconhecidos será julgada pela proximidade com outros pontos. + +É importante notar que `K` é preferível ter valores ímpares para desempate. Normalmente `K` é tomado como `3` ou `5`. + +## Referências + +- [k-nearest neighbors algorithm on Wikipedia](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm) diff --git a/src/algorithms/sorting/bubble-sort/README.pt-BR.md b/src/algorithms/sorting/bubble-sort/README.pt-BR.md index c7862bb957..e650523d71 100644 --- a/src/algorithms/sorting/bubble-sort/README.pt-BR.md +++ b/src/algorithms/sorting/bubble-sort/README.pt-BR.md @@ -1,16 +1,19 @@ # Bubble Sort +_Leia isso em outros idiomas:_ +[_English_](README.md) + O bubble sort, ou ordenação por flutuação (literalmente "por bolha"), é um algoritmo de ordenação dos mais simples. A ideia é percorrer o vetor diversas vezes, e a cada passagem fazer flutuar para o topo o maior elemento da sequência. Essa movimentação lembra a forma como as bolhas em um tanque de água procuram seu próprio nível, e disso vem o nome do algoritmo. ![Algorithm Visualization](https://upload.wikimedia.org/wikipedia/commons/c/c8/Bubble-sort-example-300px.gif) -## Complexity +## Complexidade -| Name | Best | Average | Worst | Memory | Stable | Comments | +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | | --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | -| **Bubble sort** | n | n2 | n2 | 1 | Yes | | +| **Bubble sort** | n | n2 | n2 | 1 | Sim | | -## References +## Referências - [Wikipedia](https://pt.wikipedia.org/wiki/Bubble_sort) - [YouTube](https://www.youtube.com/watch?v=6Gv8vg0kcHc&index=27&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/algorithms/sorting/counting-sort/README.md b/src/algorithms/sorting/counting-sort/README.md index 098961a0e0..40a9539a22 100644 --- a/src/algorithms/sorting/counting-sort/README.md +++ b/src/algorithms/sorting/counting-sort/README.md @@ -1,5 +1,8 @@ # Counting Sort +_Read this in other languages:_ +[_Português_](README.pt-BR.md) + In computer science, **counting sort** is an algorithm for sorting a collection of objects according to keys that are small integers; that is, it is an integer sorting algorithm. It operates by diff --git a/src/algorithms/sorting/counting-sort/README.pt-br.md b/src/algorithms/sorting/counting-sort/README.pt-br.md new file mode 100644 index 0000000000..af2c75f6af --- /dev/null +++ b/src/algorithms/sorting/counting-sort/README.pt-br.md @@ -0,0 +1,70 @@ +# Counting Sort + +_Leia isso em outros idiomas:_ +[_English_](README.md) + +Em ciência da computação, **counting sort** é um algoritmo para ordenar +uma coleção de objetos de acordo com chaves que são pequenos inteiros; +ou seja, é um algoritmo de ordenação de inteiros. Ele opera por +contando o número de objetos que têm cada valor de chave distinto, +e usando aritmética nessas contagens para determinar as posições +de cada valor de chave na sequência de saída. Seu tempo de execução é +linear no número de itens e a diferença entre o +valores de chave máximo e mínimo, portanto, é adequado apenas para +uso em situações em que a variação de tonalidades não é significativamente +maior que o número de itens. No entanto, muitas vezes é usado como +sub-rotina em outro algoritmo de ordenação, radix sort, que pode +lidar com chaves maiores de forma mais eficiente. + +Como a classificação por contagem usa valores-chave como índices em um vetor, +não é uma ordenação por comparação, e o limite inferior `Ω(n log n)` para +a ordenação por comparação não se aplica a ele. A classificação por bucket pode ser usada +para muitas das mesmas tarefas que a ordenação por contagem, com um tempo semelhante +análise; no entanto, em comparação com a classificação por contagem, a classificação por bucket requer +listas vinculadas, arrays dinâmicos ou uma grande quantidade de pré-alocados +memória para armazenar os conjuntos de itens dentro de cada bucket, enquanto +A classificação por contagem armazena um único número (a contagem de itens) +por balde. + +A classificação por contagem funciona melhor quando o intervalo de números para cada +elemento do vetor é muito pequeno. + +## Algoritmo + +**Passo I** + +Na primeira etapa, calculamos a contagem de todos os elementos do +vetor de entrada 'A'. Em seguida, armazene o resultado no vetor de contagem `C`. +A maneira como contamos é descrita abaixo. + +![Counting Sort](https://3.bp.blogspot.com/-jJchly1BkTc/WLGqCFDdvCI/AAAAAAAAAHA/luljAlz2ptMndIZNH0KLTTuQMNsfzDeFQCLcB/s1600/CSortUpdatedStepI.gif) + +**Passo II** + +Na segunda etapa, calculamos quantos elementos existem na entrada +do vetor `A` que são menores ou iguais para o índice fornecido. +`Ci` = números de elementos menores ou iguais a `i` no vetor de entrada. + +![Counting Sort](https://1.bp.blogspot.com/-1vFu-VIRa9Y/WLHGuZkdF3I/AAAAAAAAAHs/8jKu2dbQee4ap9xlVcNsILrclqw0UxAVACLcB/s1600/Step-II.png) + +**Passo III** + +Nesta etapa, colocamos o elemento `A` do vetor de entrada em classificado +posição usando a ajuda do vetor de contagem construída `C`, ou seja, o que +construímos no passo dois. Usamos o vetor de resultados `B` para armazenar +os elementos ordenados. Aqui nós lidamos com o índice de `B` começando de +zero. + +![Counting Sort](https://1.bp.blogspot.com/-xPqylngqASY/WLGq3p9n9vI/AAAAAAAAAHM/JHdtXAkJY8wYzDMBXxqarjmhpPhM0u8MACLcB/s1600/ResultArrayCS.gif) + +## Complexidade + +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Counting sort** | n + r | n + r | n + r | n + r | Sim | r - Maior número no vetor | + +## Referências + +- [Wikipedia](https://en.wikipedia.org/wiki/Counting_sort) +- [YouTube](https://www.youtube.com/watch?v=OKd534EWcdk&index=61&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [EfficientAlgorithms](https://efficientalgorithms.blogspot.com/2016/09/lenear-sorting-counting-sort.html) diff --git a/src/algorithms/sorting/heap-sort/README.md b/src/algorithms/sorting/heap-sort/README.md index 6ccc50b3b0..2370776f1b 100644 --- a/src/algorithms/sorting/heap-sort/README.md +++ b/src/algorithms/sorting/heap-sort/README.md @@ -1,5 +1,8 @@ # Heap Sort +_Read this in other languages:_ +[_Português_](README.pt-BR.md) + Heapsort is a comparison-based sorting algorithm. Heapsort can be thought of as an improved selection sort: like that algorithm, it divides its input into diff --git a/src/algorithms/sorting/heap-sort/README.pt-BR.md b/src/algorithms/sorting/heap-sort/README.pt-BR.md new file mode 100644 index 0000000000..6d5a2d4849 --- /dev/null +++ b/src/algorithms/sorting/heap-sort/README.pt-BR.md @@ -0,0 +1,20 @@ +# Heap Sort + +_Leia isso em outros idiomas:_ +[_English_](README.md) + +Heapsort é um algoritmo de ordenação baseado em comparação. O Heapsort pode ser pensado como uma seleção aprimorada sort: como esse algoritmo, ele divide sua entrada em uma região classificada e uma região não classificada, e iterativamente encolhe a região não classificada extraindo o maior elemento e movendo-o para a região classificada. A melhoria consiste no uso de uma estrutura de dados heap em vez de uma busca em tempo linear para encontrar o máximo. + +![Visualização do Algoritmo](https://upload.wikimedia.org/wikipedia/commons/1/1b/Sorting_heapsort_anim.gif) + +![Visualização do Algoritmo](https://upload.wikimedia.org/wikipedia/commons/4/4d/Heapsort-example.gif) + +## Complexidade + +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Heap sort** | n log(n) | n log(n) | n log(n) | 1 | Não | | + +## Referências + +[Wikipedia](https://en.wikipedia.org/wiki/Heapsort) diff --git a/src/algorithms/sorting/insertion-sort/README.md b/src/algorithms/sorting/insertion-sort/README.md index cd3a74ef34..8bc922683f 100644 --- a/src/algorithms/sorting/insertion-sort/README.md +++ b/src/algorithms/sorting/insertion-sort/README.md @@ -1,5 +1,8 @@ # Insertion Sort +_Read this in other languages:_ +[_Português_](README.pt-BR.md) + Insertion sort is a simple sorting algorithm that builds the final sorted array (or list) one item at a time. It is much less efficient on large lists than more diff --git a/src/algorithms/sorting/insertion-sort/README.pt-BR.md b/src/algorithms/sorting/insertion-sort/README.pt-BR.md new file mode 100644 index 0000000000..a36d2742be --- /dev/null +++ b/src/algorithms/sorting/insertion-sort/README.pt-BR.md @@ -0,0 +1,22 @@ +# Insertion Sort + +_Leia isso em outros idiomas:_ +[_English_](README.md) + +A ordenação por inserção é um algoritmo de ordenação simples que criaa matriz classificada final (ou lista) um item de cada vez. +É muito menos eficiente em grandes listas do que mais algoritmos avançados, como quicksort, heapsort ou merge +ordenar. + +![Visualização do Algoritmo](https://upload.wikimedia.org/wikipedia/commons/4/42/Insertion_sort.gif) + +![Visualização do Algoritmo](https://upload.wikimedia.org/wikipedia/commons/0/0f/Insertion-sort-example-300px.gif) + +## Complexidade + +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Insertion sort** | n | n2 | n2 | 1 | Sim | | + +## Referências + +[Wikipedia](https://en.wikipedia.org/wiki/Insertion_sort) diff --git a/src/algorithms/sorting/merge-sort/README.md b/src/algorithms/sorting/merge-sort/README.md index b4d76b90a6..2931329482 100644 --- a/src/algorithms/sorting/merge-sort/README.md +++ b/src/algorithms/sorting/merge-sort/README.md @@ -1,7 +1,8 @@ # Merge Sort _Read this in other languages:_ -[_한국어_](README.ko-KR.md) +[_한국어_](README.ko-KR.md), +[_Português_](README.pt-BR.md) In computer science, merge sort (also commonly spelled mergesort) is an efficient, general-purpose, diff --git a/src/algorithms/sorting/merge-sort/README.pt-BR.md b/src/algorithms/sorting/merge-sort/README.pt-BR.md new file mode 100644 index 0000000000..f7be449f04 --- /dev/null +++ b/src/algorithms/sorting/merge-sort/README.pt-BR.md @@ -0,0 +1,38 @@ +# Merge Sort + +_Leia isso em outros idiomas:_ +[_한국어_](README.ko-KR.md), +[_English_](README.md) + +Em ciência da computação, merge sort (também comumente escrito +mergesort) é uma ferramenta eficiente, de propósito geral, +algoritmo de ordenação baseado em comparação. A maioria das implementações +produzir uma classificação estável, o que significa que a implementação +preserva a ordem de entrada de elementos iguais na ordenação +resultado. Mergesort é um algoritmo de divisão e conquista que +foi inventado por John von Neumann em 1945. + +Um exemplo de classificação de mesclagem. Primeiro divida a lista em +a menor unidade (1 elemento), então compare cada +elemento com a lista adjacente para classificar e mesclar o +duas listas adjacentes. Finalmente todos os elementos são ordenados +e mesclado. + +![Merge Sort](https://upload.wikimedia.org/wikipedia/commons/c/cc/Merge-sort-example-300px.gif) + +Um algoritmo de classificação de mesclagem recursivo usado para classificar uma matriz de 7 +valores inteiros. Estes são os passos que um ser humano daria para +emular merge sort (top-down). + +![Merge Sort](https://upload.wikimedia.org/wikipedia/commons/e/e6/Merge_sort_algorithm_diagram.svg) + +## Complexidade + +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Merge sort** | n log(n) | n log(n) | n log(n) | n | Sim | | + +## Referências + +- [Wikipedia](https://en.wikipedia.org/wiki/Merge_sort) +- [YouTube](https://www.youtube.com/watch?v=KF2j-9iSf4Q&index=27&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/algorithms/sorting/quick-sort/README.md b/src/algorithms/sorting/quick-sort/README.md index 2daedb46cf..9dcec0f12f 100644 --- a/src/algorithms/sorting/quick-sort/README.md +++ b/src/algorithms/sorting/quick-sort/README.md @@ -1,8 +1,8 @@ # Quicksort _Read this in other languages:_ -[_Português_](README.pt-BR.md), -[_简体中文_](README.zh-CN.md) +[_简体中文_](README.zh-CN.md), +[_Português_](README.pt-BR.md) Quicksort is a divide and conquer algorithm. Quicksort first divides a large array into two smaller diff --git a/src/algorithms/sorting/quick-sort/README.pt-BR.md b/src/algorithms/sorting/quick-sort/README.pt-BR.md index a52f3725de..ca3a45699f 100644 --- a/src/algorithms/sorting/quick-sort/README.pt-BR.md +++ b/src/algorithms/sorting/quick-sort/README.pt-BR.md @@ -1,15 +1,19 @@ # Quicksort -Quicksort é um algoritmo de dividir para conquistar é um algoritmo de divisão e conquista. +_Leia isso em outros idiomas:_ +[_简体中文_](README.zh-CN.md), +[_English_](README.md) + +Quicksort é um algoritmo de dividir para conquistar. Quicksort primeiro divide uma grande matriz em duas menores submatrizes: os elementos baixos e os elementos altos. -O Quicksort pode então classificar recursivamente as submatrizes +O Quicksort pode então classificar recursivamente as submatrizes. As etapas são: 1. Escolha um elemento, denominado pivô, na matriz. 2. Particionamento: reordene a matriz para que todos os elementos com -valores menores que o pivô vêm antes do pivô, enquanto todos +valores menores que o pivô estejam antes do pivô, enquanto todos elementos com valores maiores do que o pivô vêm depois dele (valores iguais podem ser usados em qualquer direção). Após este particionamento, o pivô está em sua posição final. Isso é chamado de @@ -27,7 +31,7 @@ As linhas horizontais são valores dinâmicos. | Nome | Melhor | Média | Pior | Memória | Estável | Comentários | | --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | -| **Quick sort** | n log(n) | n log(n) | n2 | log(n) | No | Quicksort geralmente é feito no local com espaço de pilha O(log(n)) | +| **Quick sort** | n log(n) | n log(n) | n2 | log(n) | Não | Quicksort geralmente é feito no local com espaço de pilha O(log(n)) | ## Referências diff --git a/src/algorithms/sorting/radix-sort/README.md b/src/algorithms/sorting/radix-sort/README.md index 2da1f5504b..80129278d1 100644 --- a/src/algorithms/sorting/radix-sort/README.md +++ b/src/algorithms/sorting/radix-sort/README.md @@ -1,5 +1,8 @@ # Radix Sort +_Read this in other languages:_ +[_Português_](README.pt-BR.md), + In computer science, **radix sort** is a non-comparative integer sorting algorithm that sorts data with integer keys by grouping keys by the individual digits which share the same significant position and value. A positional notation diff --git a/src/algorithms/sorting/radix-sort/README.pt-BR.md b/src/algorithms/sorting/radix-sort/README.pt-BR.md new file mode 100644 index 0000000000..2274440984 --- /dev/null +++ b/src/algorithms/sorting/radix-sort/README.pt-BR.md @@ -0,0 +1,48 @@ +# Radix Sort + +_Leia isso em outros idiomas:_ +[_English_](README.md) + +Em ciência da computação, **radix sort** é uma classificação inteira não comparativa +algoritmo que classifica os dados com chaves inteiras agrupando as chaves pelo indivíduo +dígitos que compartilham a mesma posição e valor significativos. Uma notação posicional +é necessário, mas porque os números inteiros podem representar cadeias de caracteres +(por exemplo, nomes ou datas) e números de ponto flutuante especialmente formatados, base +sort não está limitado a inteiros. + +*De onde vem o nome?* + +Em sistemas numéricos matemáticos, a *radix* ou base é o número de dígitos únicos, +incluindo o dígito zero, usado para representar números em um sistema de numeração posicional. +Por exemplo, um sistema binário (usando números 0 e 1) tem uma raiz de 2 e um decimal +sistema (usando números de 0 a 9) tem uma raiz de 10. + +## Eficiência + +O tópico da eficiência do radix sort comparado a outros algoritmos de ordenação é +um pouco complicado e sujeito a muitos mal-entendidos. Se raiz +sort é igualmente eficiente, menos eficiente ou mais eficiente do que o melhor +algoritmos baseados em comparação depende dos detalhes das suposições feitas. +A complexidade de classificação de raiz é `O(wn)` para chaves `n` que são inteiros de tamanho de palavra `w`. +Às vezes, `w` é apresentado como uma constante, o que tornaria a classificação radix melhor +(para `n` suficientemente grande) do que os melhores algoritmos de ordenação baseados em comparação, +que todos realizam comparações `O(n log n)` para classificar chaves `n`. No entanto, em +geral `w` não pode ser considerado uma constante: se todas as chaves `n` forem distintas, +então `w` tem que ser pelo menos `log n` para que uma máquina de acesso aleatório seja capaz de +armazená-los na memória, o que dá na melhor das hipóteses uma complexidade de tempo `O(n log n)`. Este +parece tornar a ordenação radix no máximo tão eficiente quanto a melhor +ordenações baseadas em comparação (e pior se as chaves forem muito mais longas que `log n`). + +![Radix Sort](https://www.researchgate.net/publication/291086231/figure/fig1/AS:614214452404240@1523451545568/Simplistic-illustration-of-the-steps-performed-in-a-radix-sort-In-this-example-the.png) + +## Complexidade + +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Radix sort** | n * k | n * k | n * k | n + k | Sim | k - comprimento da chave mais longa | + +## Referências + +- [Wikipedia](https://en.wikipedia.org/wiki/Radix_sort) +- [YouTube](https://www.youtube.com/watch?v=XiuSW_mEn7g&index=62&t=0s&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) +- [ResearchGate](https://www.researchgate.net/figure/Simplistic-illustration-of-the-steps-performed-in-a-radix-sort-In-this-example-the_fig1_291086231) diff --git a/src/algorithms/sorting/selection-sort/README.md b/src/algorithms/sorting/selection-sort/README.md index b584777a59..005c616131 100644 --- a/src/algorithms/sorting/selection-sort/README.md +++ b/src/algorithms/sorting/selection-sort/README.md @@ -1,7 +1,7 @@ # Selection Sort _Read this in other languages:_ -[Português brasileiro](README.pt-BR.md). +[_Português_](README.pt-BR.md). Selection sort is a sorting algorithm, specifically an in-place comparison sort. It has O(n2) time complexity, diff --git a/src/algorithms/sorting/selection-sort/README.pt-BR.md b/src/algorithms/sorting/selection-sort/README.pt-BR.md index c9c1afd6a1..0c45b73f61 100644 --- a/src/algorithms/sorting/selection-sort/README.pt-BR.md +++ b/src/algorithms/sorting/selection-sort/README.pt-BR.md @@ -1,7 +1,7 @@ # Selection Sort -_Leia isso em outras línguas:_ -[english](README.md). +_Leia isso em outros idiomas:_ +[_English_](README.md). Selection Sort é um algoritmo de ordenação, mais especificamente um algoritmo de ordenação por comparação in-place (requer uma quantidade constante de espaço de memória adicional). Tem complexidade O(n²), tornando-o ineficiente em listas grandes e, geralmente, tem desempenho inferior ao similar Insertion Sort. O Selection Sort é conhecido por sua simplicidade e tem vantagens de desempenho sobre algoritmos mais complexos em certas situações, particularmente quando a memória auxiliar é limitada. diff --git a/src/algorithms/sorting/shell-sort/README.md b/src/algorithms/sorting/shell-sort/README.md index 386fc9f066..f93338e2eb 100644 --- a/src/algorithms/sorting/shell-sort/README.md +++ b/src/algorithms/sorting/shell-sort/README.md @@ -1,5 +1,8 @@ # Shellsort +_Read this in other languages:_ +[_Português_](README.pt-BR.md). + Shellsort, also known as Shell sort or Shell's method, is an in-place comparison sort. It can be seen as either a generalization of sorting by exchange (bubble sort) or sorting diff --git a/src/algorithms/sorting/shell-sort/README.pt-BR.md b/src/algorithms/sorting/shell-sort/README.pt-BR.md new file mode 100644 index 0000000000..14de1a517e --- /dev/null +++ b/src/algorithms/sorting/shell-sort/README.pt-BR.md @@ -0,0 +1,60 @@ +# Shellsort + +_Leia isso em outros idiomas:_ +[_English_](README.md). + +Shellsort, também conhecido como Shell sort ou método de Shell, +é uma classificação de comparação in-loco. Pode ser visto tanto como um +generalização da ordenação por troca (bubble sort) ou ordenação +por inserção (ordenação por inserção). O método começa classificando +pares de elementos distantes um do outro, então progressivamente +reduzindo a distância entre os elementos a serem comparados. Iniciando +com elementos distantes, pode mover alguns fora do lugar +elementos em posição mais rápido do que um simples vizinho mais próximo +intercâmbio + +![Shellsort](https://upload.wikimedia.org/wikipedia/commons/d/d8/Sorting_shellsort_anim.gif) + +## Como o Shellsort funciona? + +Para nosso exemplo e facilidade de compreensão, tomamos o intervalo +de `4`. Faça uma sub-lista virtual de todos os valores localizados no +intervalo de 4 posições. Aqui esses valores são +`{35, 14}`, `{33, 19}`, `{42, 27}` e `{10, 44}` + +![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_gap_4.jpg) + +Comparamos valores em cada sublista e os trocamos (se necessário) +na matriz original. Após esta etapa, o novo array deve +parece com isso + +![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_step_1.jpg) + +Então, pegamos o intervalo de 2 e essa lacuna gera duas sub-listas +- `{14, 27, 35, 42}`, `{19, 10, 33, 44}` + +![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_gap_2.jpg) + +Comparamos e trocamos os valores, se necessário, no array original. +Após esta etapa, a matriz deve ficar assim + +![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort_step_2.jpg) + +> OBS: Na imagem abaixo há um erro de digitação e a matriz de resultados deve ser `[14, 10, 27, 19, 35, 33, 42, 44]`. + +Finalmente, ordenamos o resto do array usando o intervalo de valor 1. +A classificação de shell usa a classificação por inserção para classificar a matriz. + +![Shellsort](https://www.tutorialspoint.com/data_structures_algorithms/images/shell_sort.jpg) + +## Complexidade + +| Nome | Melhor | Média | Pior | Memória | Estável | Comentários | +| --------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Shell sort** | n log(n) | depends on gap sequence | n (log(n))2 | 1 | Não | | + +## Referências + +- [Tutorials Point](https://www.tutorialspoint.com/data_structures_algorithms/shell_sort_algorithm.htm) +- [Wikipedia](https://en.wikipedia.org/wiki/Shellsort) +- [YouTube by Rob Edwards](https://www.youtube.com/watch?v=ddeLSDsYVp8&index=79&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) diff --git a/src/data-structures/bloom-filter/README.pt-BR.md b/src/data-structures/bloom-filter/README.pt-BR.md index 77c4232262..0c8522b958 100644 --- a/src/data-structures/bloom-filter/README.pt-BR.md +++ b/src/data-structures/bloom-filter/README.pt-BR.md @@ -3,7 +3,7 @@ O **bloom filter** é uma estrutura de dados probabilística espaço-eficiente designada para testar se um elemento está ou não presente em um conjunto de dados. Foi projetado para ser -incrivelmente rápido e utilizar o mínimo de memória ao +incrivelmente rápida e utilizar o mínimo de memória ao potencial custo de um falso-positivo. Correspondências _falsas positivas_ são possíveis, contudo _falsos negativos_ não são - em outras palavras, a consulta retorna @@ -12,7 +12,7 @@ não são - em outras palavras, a consulta retorna Bloom propôs a técnica para aplicações onde a quantidade de entrada de dados exigiria uma alocação de memória impraticavelmente grande se as "convencionais" técnicas -error-free hashing fossem aplicado. +error-free hashing fossem aplicadas. ## Descrição do algoritmo diff --git a/src/data-structures/disjoint-set/README.pt-BR.md b/src/data-structures/disjoint-set/README.pt-BR.md index 130b8aea6c..a7d827a8a2 100644 --- a/src/data-structures/disjoint-set/README.pt-BR.md +++ b/src/data-structures/disjoint-set/README.pt-BR.md @@ -1,8 +1,8 @@ -# Conjunto Disjuntor (Disjoint Set) +# Conjunto Disjunto (Disjoint Set) -**Conjunto Disjuntor** +**Conjunto Disjunto** -**Conjunto Disjuntor** é uma estrutura de dados (também chamado de +**Conjunto Disjunto** é uma estrutura de dados (também chamado de estrutura de dados de union–find ou merge–find) é uma estrutura de dados que rastreia um conjunto de elementos particionados em um número de subconjuntos separados (sem sobreposição). @@ -10,9 +10,9 @@ Ele fornece operações de tempo quase constante (limitadas pela função inversa de Ackermann) para *adicionar novos conjuntos*, para *mesclar/fundir conjuntos existentes* e para *determinar se os elementos estão no mesmo conjunto*. -Além de muitos outros usos (veja a seção Applications), conjunto disjuntor +Além de muitos outros usos (veja a seção Applications), conjuntos disjuntos desempenham um papel fundamental no algoritmo de Kruskal para encontrar a -árvore geradora mínima de um gráfico (graph). +árvore geradora mínima de um grafo (graph). ![disjoint set](https://upload.wikimedia.org/wikipedia/commons/6/67/Dsu_disjoint_sets_init.svg) diff --git a/src/data-structures/doubly-linked-list/README.pt-BR.md b/src/data-structures/doubly-linked-list/README.pt-BR.md index 9ba3954d0b..c4294decf4 100644 --- a/src/data-structures/doubly-linked-list/README.pt-BR.md +++ b/src/data-structures/doubly-linked-list/README.pt-BR.md @@ -4,7 +4,7 @@ Na ciência da computação, uma **lista duplamente conectada** é uma estrutura de dados vinculada que se consistem em um conjunto de registros sequencialmente vinculados chamados de nós (nodes). Em cada nó contém dois campos, chamados de ligações, que são referenciados ao nó anterior e posterior -de uma sequência de nós. O começo e o fim dos nós anteriormente e posteiormente +de uma sequência de nós. O começo e o fim dos nós anteriormente e posteriormente ligados, respectiviamente, apontam para algum tipo de terminação, normalmente um nó sentinela ou nulo, para facilitar a travessia da lista. Se existe somente um nó sentinela, então a lista é ligada circularmente através do nó @@ -20,7 +20,7 @@ Enquanto adicionar ou remover um nó de uma lista duplamente vinculada requer alterar mais ligações (conexões) do que em uma lista encadeada individualmente (singly linked list), as operações são mais simples e potencialmente mais eficientes (para nós que não sejam nós iniciais) porque não há necessidade -de se manter rastreamento do nó anterior durante a travessia ou não há +de manter um rastreamento do nó anterior durante a travessia ou não há necessidade de percorrer a lista para encontrar o nó anterior, para que então sua ligação/conexão possa ser modificada. @@ -44,7 +44,7 @@ Add(value) end Add ``` -### Deletar +### Remoção ```text Remove(head, value) diff --git a/src/data-structures/hash-table/README.pt-BR.md b/src/data-structures/hash-table/README.pt-BR.md index 9abbb48890..c89faf6ca1 100644 --- a/src/data-structures/hash-table/README.pt-BR.md +++ b/src/data-structures/hash-table/README.pt-BR.md @@ -1,6 +1,6 @@ # Tabela de Hash (Hash Table) -Na ciência da computação, uma **tabela de hash** (hash map) é uma +Na ciência da computação, uma **tabela de hash** (hash table) é uma estrutura de dados pela qual implementa um tipo de dado abstrado de *array associativo*, uma estrutura que pode *mapear chaves para valores*. Uma tabela de hash utiliza uma *função de hash* para calcular um índice @@ -10,7 +10,7 @@ pode ser encontrado. Idealmente, a função de hash irá atribuir a cada chave a um bucket único, mas a maioria dos designs de tabela de hash emprega uma função de hash imperfeita, pela qual poderá causar colisões de hashes onde a função de hash -gera o mesmo índice para mais de uma chave.Tais colisões devem ser +gera o mesmo índice para mais de uma chave. Tais colisões devem ser acomodados de alguma forma. ![Hash Table](./images/hash-table.jpeg) diff --git a/src/data-structures/priority-queue/README.pt-BR.md b/src/data-structures/priority-queue/README.pt-BR.md index 9e836bde7e..e6d84e263a 100644 --- a/src/data-structures/priority-queue/README.pt-BR.md +++ b/src/data-structures/priority-queue/README.pt-BR.md @@ -1,7 +1,7 @@ # Fila de Prioridade (Priority Queue) -Na ciência da computação, uma **fila de prioridade** é um tipo de dados -abastrato que é como uma fila regular (regular queue) ou estrutura de +Na ciência da computação, uma **fila de prioridade** é um tipo de estrutura de +dados abastrata que é como uma fila regular (regular queue) ou estrutura de dados de pilha (stack), mas adicionalmente cada elemento possui uma "prioridade" associada. @@ -10,11 +10,11 @@ antes de um elemento com baixa prioridade. Caso dois elementos posusam a mesma prioridade, eles serão servidos de acordo com sua ordem na fila. Enquanto as filas de prioridade são frequentemente implementadas com -pilhas (heaps), elas são conceitualmente distintas das pilhas (heaps). +pilhas (stacks), elas são conceitualmente distintas das pilhas (stacks). A fila de prioridade é um conceito abstrato como uma "lista" (list) ou um "mapa" (map); assim como uma lista pode ser implementada com uma lista encadeada (liked list) ou um array, a fila de prioridade pode ser -implementada com uma pilha (heap) ou com uima variedade de outros métodos, +implementada com uma pilha (stack) ou com uma variedade de outros métodos, como um array não ordenado (unordered array). ## Referências diff --git a/src/data-structures/stack/README.pt-BR.md b/src/data-structures/stack/README.pt-BR.md index d1269d2437..ee862fe43a 100644 --- a/src/data-structures/stack/README.pt-BR.md +++ b/src/data-structures/stack/README.pt-BR.md @@ -1,14 +1,14 @@ -# Stack +# Pilha (Stack) -Na ciência da computação, um **stack** é uma estrutura de dados abstrata +Na ciência da computação, uma **pilha** é uma estrutura de dados abstrata que serve como uma coleção de elementos com duas operações principais: * **push**, pela qual adiciona um elemento à coleção, e * **pop**, pela qual remove o último elemento adicionado. A ordem em que os elementos saem de um _stack_ dá origem ao seu -nome alternativo, LIFO (last in, first out). Adicionalmente, uma -espiar a operação pode dar acesso ao topo sem modificar o _stack_. +nome alternativo, LIFO (last in, first out). Adicionalmente, uma operação +de espiada (peek) pode dar acesso ao topo sem modificar o _stack_. O nome "stack" para este tipo de estrutura vem da analogia de um conjunto de itens físicos empilhados uns sobre os outros, o que facilita retirar um item do topo da pilha, enquanto para chegar a diff --git a/src/data-structures/tree/README.pt-BR.md b/src/data-structures/tree/README.pt-BR.md index 173e096c48..7aade88caa 100644 --- a/src/data-structures/tree/README.pt-BR.md +++ b/src/data-structures/tree/README.pt-BR.md @@ -8,7 +8,7 @@ Na ciência da computação, uma **árvore** é uma estrutura de dados abstrada (ADT) amplamente utilizada - ou uma estrutura de dados -implementando este ADT que simula uma estrutura hierarquica de árvore, +implementando este ADT que simula uma estrutura hierárquica de árvore, com valor raíz e sub-árvores de filhos com um nó pai, representado como um conjunto de nós conectados. diff --git a/src/data-structures/trie/README.pt-BR.md b/src/data-structures/trie/README.pt-BR.md index b0d49de1e1..50a294b77c 100644 --- a/src/data-structures/trie/README.pt-BR.md +++ b/src/data-structures/trie/README.pt-BR.md @@ -1,9 +1,9 @@ -# Trie +# Árvore de Prefixos (Trie) Na ciência da computação, uma **trie**, também chamada de árvore digital (digital tree) e algumas vezes de _radix tree_ ou _prefix tree_ (tendo em vista que eles -podem ser pesquisados por prefixos), é um tipo de árvore de pesquisa, uma -uma estrutura de dados de árvore ordenada que é usado para armazenar um +podem ser pesquisados por prefixos), é um tipo de árvore de pesquisa, uma +estrutura de dados de árvore ordenada que é usado para armazenar um conjunto dinâmico ou matriz associativa onde as chaves são geralmente _strings_. Ao contrário de uma árvore de pesquisa binária (binary search tree), nenhum nó na árvore armazena a chave associada a esse nó; em vez disso, From c4164bf2240b1458252c3860f584bf01be4a85f8 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 21 Oct 2022 22:21:11 +0200 Subject: [PATCH 081/135] Update README.md --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index d2d0bc75a4..aa0c184424 100644 --- a/README.md +++ b/README.md @@ -363,3 +363,7 @@ Below is the list of some of the most used Big O notations and their performance [Folks who are backing this project](https://github.com/trekhleb/javascript-algorithms/blob/master/BACKERS.md) `∑ = 0` > ℹ️ A few more [projects](https://trekhleb.dev/projects/) and [articles](https://trekhleb.dev/blog/) about JavaScript and algorithms on [trekhleb.dev](https://trekhleb.dev) + +## Author + +- [@trekhleb](https://trekhleb.dev) From 5de9ca28e90cf860dbcb114441f72b5a4342ebb9 Mon Sep 17 00:00:00 2001 From: "David (Dato) Kadaria" <94402615+davidkadaria@users.noreply.github.com> Date: Thu, 10 Nov 2022 18:00:21 +0400 Subject: [PATCH 082/135] Added Georgian translation && Added link to the translation from other files (#951) --- src/algorithms/math/fibonacci/README.fr-FR.md | 3 ++- src/algorithms/math/fibonacci/README.ka-GE.md | 20 +++++++++++++++++++ src/algorithms/math/fibonacci/README.md | 3 ++- src/algorithms/math/fibonacci/README.zh-CN.md | 3 ++- 4 files changed, 26 insertions(+), 3 deletions(-) create mode 100644 src/algorithms/math/fibonacci/README.ka-GE.md diff --git a/src/algorithms/math/fibonacci/README.fr-FR.md b/src/algorithms/math/fibonacci/README.fr-FR.md index 1321ca24d7..81e3549b0d 100644 --- a/src/algorithms/math/fibonacci/README.fr-FR.md +++ b/src/algorithms/math/fibonacci/README.fr-FR.md @@ -1,7 +1,8 @@ # Nombre de Fibonacci _Read this in other languages:_ -[english](README.md). +[english](README.md), +[ქართული](README.ka-GE.md). En mathématiques, la suite de Fibonacci est une suite d'entiers dans laquelle chaque terme (après les deux premiers) diff --git a/src/algorithms/math/fibonacci/README.ka-GE.md b/src/algorithms/math/fibonacci/README.ka-GE.md new file mode 100644 index 0000000000..ae7e11218b --- /dev/null +++ b/src/algorithms/math/fibonacci/README.ka-GE.md @@ -0,0 +1,20 @@ +# ფიბონაჩის რიცხვი + +მათემატიკაში ფიბონაჩის მიმდევრობა წარმოადგენს მთელ რიცხვთა მიმდევრობას, +რომელშიც ყოველი რიცხვი (პირველი ორი რიცხვის შემდეგ) +მისი წინამორბედი ორი რიცხვის +ჯამის ტოლია: + +`0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...` + +კვადრატების წყობა, სადაც ყოველი კვადრატის გვერდების სიგრძე, თანმიმდევრობით, ფიბონაჩის რიცხვებს შეესაბამება + +![Fibonacci](https://upload.wikimedia.org/wikipedia/commons/d/db/34%2A21-FibonacciBlocks.png) + +ფიბონაჩის სპირალი: ოქროს სპირალის აპროქსიმაცია, რომელიც შექმნილია კვადრატების მოპირდაპირე კუთხეებს შორის შემაერთებელი რკალების გავლებით;[4] ამ შემთხვევაში, გამოყენებულ კვადრატთა [გვერდების] ზომებია: 1, 1, 2, 3, 5, 8, 13 და 21. + +![Fibonacci Spiral](https://upload.wikimedia.org/wikipedia/commons/2/2e/FibonacciSpiral.svg) + +## სქოლიო + +- [Wikipedia](https://en.wikipedia.org/wiki/Fibonacci_number) diff --git a/src/algorithms/math/fibonacci/README.md b/src/algorithms/math/fibonacci/README.md index 9a36887f71..3d476c5020 100644 --- a/src/algorithms/math/fibonacci/README.md +++ b/src/algorithms/math/fibonacci/README.md @@ -2,7 +2,8 @@ _Read this in other languages:_ [français](README.fr-FR.md), -[简体中文](README.zh-CN.md). +[简体中文](README.zh-CN.md), +[ქართული](README.ka-GE.md). In mathematics, the Fibonacci numbers are the numbers in the following integer sequence, called the Fibonacci sequence, and characterized by diff --git a/src/algorithms/math/fibonacci/README.zh-CN.md b/src/algorithms/math/fibonacci/README.zh-CN.md index 70f74b533c..20378000d4 100644 --- a/src/algorithms/math/fibonacci/README.zh-CN.md +++ b/src/algorithms/math/fibonacci/README.zh-CN.md @@ -2,7 +2,8 @@ _Read this in other languages:_ [français](README.fr-FR.md), -[english](README.md). +[english](README.md), +[ქართული](README.ka-GE.md). 在数学中，斐波那契数是以下整数序列（称为斐波那契数列）中的数字，其特征在于前两个数字之后的每个数字都是前两个数字的和： From e62572648c42b23b4e3a7ae68ce9529098eeca32 Mon Sep 17 00:00:00 2001 From: "Oleksandr (Sasha) Khivrych" Date: Thu, 10 Nov 2022 14:02:29 +0000 Subject: [PATCH 083/135] feat: added ukr translations for bloom filter, Disjoint Set, Doubly Linked List (#957) Co-authored-by: Oleksii Trekhleb --- src/data-structures/bloom-filter/README.md | 37 +++--- .../bloom-filter/README.uk-UA.md | 54 +++++++++ src/data-structures/disjoint-set/README.md | 16 +-- .../disjoint-set/README.uk-UA.md | 22 ++++ .../doubly-linked-list/README.md | 9 +- .../doubly-linked-list/README.uk-UA.md | 109 ++++++++++++++++++ 6 files changed, 217 insertions(+), 30 deletions(-) create mode 100644 src/data-structures/bloom-filter/README.uk-UA.md create mode 100644 src/data-structures/disjoint-set/README.uk-UA.md create mode 100644 src/data-structures/doubly-linked-list/README.uk-UA.md diff --git a/src/data-structures/bloom-filter/README.md b/src/data-structures/bloom-filter/README.md index 17c666775e..e156310cb4 100644 --- a/src/data-structures/bloom-filter/README.md +++ b/src/data-structures/bloom-filter/README.md @@ -2,38 +2,39 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), -[_Português_](README.pt-BR.md) +[_Português_](README.pt-BR.md), +[_Українська_](README.uk-UA.md) -A **bloom filter** is a space-efficient probabilistic -data structure designed to test whether an element -is present in a set. It is designed to be blazingly +A **bloom filter** is a space-efficient probabilistic +data structure designed to test whether an element +is present in a set. It is designed to be blazingly fast and use minimal memory at the cost of potential false positives. False positive matches are possible, but false negatives are not – in other words, a query returns either "possibly in set" or "definitely not in set". -Bloom proposed the technique for applications where the +Bloom proposed the technique for applications where the amount of source data would require an impractically large -amount of memory if "conventional" error-free hashing +amount of memory if "conventional" error-free hashing techniques were applied. ## Algorithm description -An empty Bloom filter is a bit array of `m` bits, all +An empty Bloom filter is a bit array of `m` bits, all set to `0`. There must also be `k` different hash functions -defined, each of which maps or hashes some set element to -one of the `m` array positions, generating a uniform random -distribution. Typically, `k` is a constant, much smaller -than `m`, which is proportional to the number of elements -to be added; the precise choice of `k` and the constant of -proportionality of `m` are determined by the intended +defined, each of which maps or hashes some set element to +one of the `m` array positions, generating a uniform random +distribution. Typically, `k` is a constant, much smaller +than `m`, which is proportional to the number of elements +to be added; the precise choice of `k` and the constant of +proportionality of `m` are determined by the intended false positive rate of the filter. -Here is an example of a Bloom filter, representing the -set `{x, y, z}`. The colored arrows show the positions -in the bit array that each set element is mapped to. The -element `w` is not in the set `{x, y, z}`, because it -hashes to one bit-array position containing `0`. For +Here is an example of a Bloom filter, representing the +set `{x, y, z}`. The colored arrows show the positions +in the bit array that each set element is mapped to. The +element `w` is not in the set `{x, y, z}`, because it +hashes to one bit-array position containing `0`. For this figure, `m = 18` and `k = 3`. ![Bloom Filter](https://upload.wikimedia.org/wikipedia/commons/a/ac/Bloom_filter.svg) diff --git a/src/data-structures/bloom-filter/README.uk-UA.md b/src/data-structures/bloom-filter/README.uk-UA.md new file mode 100644 index 0000000000..aa9075a094 --- /dev/null +++ b/src/data-structures/bloom-filter/README.uk-UA.md @@ -0,0 +1,54 @@ +# Фільтр Блума + +**Фільтр Блума** - це просторово-ефективна ймовірна структура даних, створена для перевірки наявності елемента +у множині. Він спроектований неймовірно швидким за мінімального використання пам'яті ціною потенційних помилкових спрацьовувань. +Існує можливість отримати хибнопозитивне спрацьовування (елемента в безлічі немає, але структура даних повідомляє, +що він є), але не хибнонегативне. Іншими словами, черга повертає або "можливо в наборі", або "певно не +у наборі". Фільтр Блума може використовувати будь-який обсяг пам'яті, проте чим він більший, тим менша вірогідність помилкового +спрацьовування. + +Блум запропонував цю техніку для застосування в областях, де кількість вихідних даних потребувала б непрактично багато +пам'яті, у разі застосування умовно безпомилкових технік хешування. + +## Опис алгоритму + +Порожній фільтр Блума представлений бітовим масивом з `m` бітів, всі біти якого обнулені. Має бути визначено `k` +незалежних хеш-функцій, що відображають кожен елемент множини в одну з `m` позицій у масиві, генеруючи однакове +випадковий розподіл. Зазвичай `k` задана константою, яка набагато менше `m` і пропорційна +кількості елементів, що додаються; точний вибір `k` та постійної пропорційності `m` визначаються рівнем хибних +спрацьовувань фільтра. + +Ось приклад Блум фільтра, що представляє набір `{x, y, z}`. Кольорові стрілки показують позиції в бітовому масиві, +яким прив'язаний кожен елемент набору. Елемент `w` не в наборі `{x, y, z}`, тому що він прив'язаний до позиції в бітовому +масиві, що дорівнює `0`. Для цієї форми, `m = 18`, а `k = 3`. + +Фільтр Блума є бітовий масив з `m` біт. Спочатку, коли структура даних зберігає порожню множину, всі +m біт обнулені. Користувач повинен визначити `k` незалежних хеш-функцій `h1`, …, `hk`, +що відображають кожен елемент в одну з m позицій бітового масиву досить рівномірним чином. + +Для додавання елемента e необхідно записати одиниці на кожну з позицій `h1(e)`, …, `hk(e)` +бітового масиву. + +Для перевірки приналежності елемента `e` до безлічі елементів, що зберігаються, необхідно перевірити стан бітів +`h1(e)`, …, `hk(e)`. Якщо хоча б один з них дорівнює нулю, елемент не може належати множині +(інакше при його додаванні всі ці біти були встановлені). Якщо вони рівні одиниці, то структура даних повідомляє, +що `е` належить безлічі. При цьому може виникнути дві ситуації: або елемент дійсно належить множині, +або всі ці біти виявилися встановлені випадково при додаванні інших елементів, що і є джерелом помилкових +спрацьовувань у цій структурі даних. + +![Фільтр Блума](https://upload.wikimedia.org/wikipedia/commons/a/ac/Bloom_filter.svg) + +## Застосування + +Фільтр Блума може бути використаний для блогів. Якщо мета полягає в тому, щоб показати читачам лише ті статті, +які вони ще не бачили, фільтр блуму ідеальний. Він може містити значення, що хешуються, відповідні статті. Після +того, як користувач прочитав кілька статей, вони можуть бути поміщені у фільтр. Наступного разу, коли користувач +відвідає сайт, ці статті можуть бути вилучені з результатів за допомогою фільтра. + +Деякі статті неминуче будуть відфільтровані помилково, але ціна прийнятна. Те, що користувач не побачить дещо +статей цілком прийнятно, беручи до уваги той факт, що йому завжди показуються інші нові статті при кожному +новому відвідуванні. + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%A4%D1%96%D0%BB%D1%8C%D1%82%D1%80_%D0%91%D0%BB%D1%83%D0%BC%D0%B0) diff --git a/src/data-structures/disjoint-set/README.md b/src/data-structures/disjoint-set/README.md index 535960c7bb..44bcfa2769 100644 --- a/src/data-structures/disjoint-set/README.md +++ b/src/data-structures/disjoint-set/README.md @@ -2,22 +2,22 @@ _Read this in other languages:_ [_Русский_](README.ru-RU.md), -[_Português_](README.pt-BR.md) +[_Português_](README.pt-BR.md), +[_Українська_](README.uk-UA.md) - -**Disjoint-set** data structure (also called a union–find data structure or merge–find set) is a data -structure that tracks a set of elements partitioned into a number of disjoint (non-overlapping) subsets. -It provides near-constant-time operations (bounded by the inverse Ackermann function) to *add new sets*, -to *merge existing sets*, and to *determine whether elements are in the same set*. +**Disjoint-set** data structure (also called a union–find data structure or merge–find set) is a data +structure that tracks a set of elements partitioned into a number of disjoint (non-overlapping) subsets. +It provides near-constant-time operations (bounded by the inverse Ackermann function) to _add new sets_, +to _merge existing sets_, and to _determine whether elements are in the same set_. In addition to many other uses (see the Applications section), disjoint-sets play a key role in Kruskal's algorithm for finding the minimum spanning tree of a graph. ![disjoint set](https://upload.wikimedia.org/wikipedia/commons/6/67/Dsu_disjoint_sets_init.svg) -*MakeSet* creates 8 singletons. +_MakeSet_ creates 8 singletons. ![disjoint set](https://upload.wikimedia.org/wikipedia/commons/a/ac/Dsu_disjoint_sets_final.svg) -After some operations of *Union*, some sets are grouped together. +After some operations of _Union_, some sets are grouped together. ## References diff --git a/src/data-structures/disjoint-set/README.uk-UA.md b/src/data-structures/disjoint-set/README.uk-UA.md new file mode 100644 index 0000000000..f8c3be4df1 --- /dev/null +++ b/src/data-structures/disjoint-set/README.uk-UA.md @@ -0,0 +1,22 @@ +# Система неперетинних множин + +**Система неперетинних множин** це структура даних (також звана структурою даної пошуку перетину або +безліччю пошуку злиття), яка управляє безліччю елементів, розбитих на кілька підмножин, що не перетинаються. +Вона надає близько-константний час виконання операцій (обмежений зворотною функцією Акерманна) за додаванням +нових множин, *злиття існуючих множин і *випередження, чи відносяться елементи до одного і того ж безлічі. + +Застосовується для зберігання компонентів зв'язності в графах, зокрема, алгоритму Фарбала необхідна подібна структура +даних для ефективної реалізації. + +Основні операції: + +- _MakeSet(x)_ - створює одноелементне безліч {x}, +- _Find(x)_ - повертає ідентифікатор множини, що містить елемент x, +- _Union(x,y)_ - об'єднання множин, що містять x та y. + +Після деяких операцій _об'єднання_, деякі множини зібрані разом + +## Посилання + +- [СНМ на Wikipedia](https://uk.wikipedia.org/wiki/%D0%A1%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D0%B0_%D0%BD%D0%B5%D0%BF%D0%B5%D1%80%D0%B5%D1%82%D0%B8%D0%BD%D0%BD%D0%B8%D1%85_%D0%BC%D0%BD%D0%BE%D0%B6%D0%B8%D0%BD) +- [СНМ на YouTube](https://www.youtube.com/watch?v=5XwRPwLnK6I) diff --git a/src/data-structures/doubly-linked-list/README.md b/src/data-structures/doubly-linked-list/README.md index 81c0797f73..1610d1e497 100644 --- a/src/data-structures/doubly-linked-list/README.md +++ b/src/data-structures/doubly-linked-list/README.md @@ -7,6 +7,7 @@ _Read this in other languages:_ [_Português_](README.pt-BR.md), [_한국어_](README.ko-KR.md), [_Español_](README.es-ES.md), +[_Українська_](README.uk-UA.md) In computer science, a **doubly linked list** is a linked data structure that consists of a set of sequentially linked records called nodes. Each node contains @@ -20,7 +21,7 @@ but in opposite sequential orders. ![Doubly Linked List](./images/doubly-linked-list.jpeg) -*Made with [okso.app](https://okso.app)* +_Made with [okso.app](https://okso.app)_ The two node links allow traversal of the list in either direction. While adding or removing a node in a doubly linked list requires changing more links than the @@ -104,9 +105,9 @@ end Reverse Traversal ## Time Complexity -| Access | Search | Insertion | Deletion | -| :-------: | :-------: | :-------: | :-------: | -| O(n) | O(n) | O(1) | O(n) | +| Access | Search | Insertion | Deletion | +| :----: | :----: | :-------: | :------: | +| O(n) | O(n) | O(1) | O(n) | ### Space Complexity diff --git a/src/data-structures/doubly-linked-list/README.uk-UA.md b/src/data-structures/doubly-linked-list/README.uk-UA.md new file mode 100644 index 0000000000..a52a8015e0 --- /dev/null +++ b/src/data-structures/doubly-linked-list/README.uk-UA.md @@ -0,0 +1,109 @@ +# Двобічно зв'язаний список + +**Двобічно зв'язаний список** — зв'язкова структура даних в інформатиці, що складається з набору +послідовно пов'язаних записів, званих вузлами. Кожен вузол містить два поля, +званих посиланнями, які вказують на попередній і наступний елементи +послідовність вузлів. Посилання на попередній елемент кореневого вузла та посилання на +Наступний елемент останнього вузла вказують на деякого роду переривник, зазвичай +сторожовий вузол або null для полегшення обходу списку. Якщо у списку лише один +сторожовий вузол, тоді перелік циклічно пов'язаний через нього. +Двобічно зв'язаний список можна уявити, як два зв'язкові списки, які утворені з +одних і тих самих даних, але розташованих у протилежному порядку. + +![Двобічно зв'язаний список](./images/doubly-linked-list.jpeg) + +_Made with [okso.app](https://okso.app)_ + +Два посилання дозволяють обходити список в обох напрямках. Додавання та +видалення вузла у двозв'язному списку вимагає зміни більшої кількості посилань, +ніж аналогічні операції у зв'язковому списку. Однак дані операції простіше та потенційно +більш ефективні (для некореневих вузлів) – при обході не потрібно стежити за попереднім +вузлом або повторно обходити список у пошуку попереднього вузла, плюс його посилання +може бути змінено. + +## Псевдокод основних операцій + +### Вставка + +```text +Add(value) + Pre: value - значення, що додається + Post: value поміщено в кінець списку + n ← node(value) + if head = ø + head ← n + tail ← n + else + n.previous ← tail + tail.next ← n + tail ← n + end if +end Add +``` + +### Видалення + +```text +Remove(head, value) + Pre: head - перший вузол у списку + value - значення, яке слід видалити + Post: true - value видалено зі списку, інакше false + if head = ø + return false + end if + if value = head.value + if head = tail + head ← ø + tail ← ø + else + head ← head.next + head.previous ← ø + end if + return true + end if + n ← head.next + while n = ø and value = n.value + n ← n.next + end while + if n = tail + tail ← tail.previous + tail.next ← ø + return true + else if n = ø + n.previous.next ← n.next + n.next.previous ← n.previous + return true + end if + return false +end Remove +``` + +### Зворотний обхід + +```text +ReverseTraversal(tail) + Pre: tail - кінцевий елемент обхідного списку + Post: елементи списку пройдено у зворотному порядку + n ← tail + while n = ø + yield n.value + n ← n.previous + end while +end Reverse Traversal +``` + +## Складність + +## Часова складність + +| Читання | Пошук | Вставка | Видалення | +| :-----: | :---: | :-----: | :-------: | +| O(n) | O(n) | O(1) | O(n) | + +### Просторова складність + +O(n) + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%94%D0%B2%D0%BE%D0%B1%D1%96%D1%87%D0%BD%D0%BE_%D0%B7%D0%B2%27%D1%8F%D0%B7%D0%B0%D0%BD%D0%B8%D0%B9_%D1%81%D0%BF%D0%B8%D1%81%D0%BE%D0%BA#:~:text=%D0%94%D0%B2%D0%BE%D0%B1%D1%96%D1%87%D0%BD%D0%BE%20%D0%B7%D0%B2'%D1%8F%D0%B7%D0%B0%D0%BD%D0%B8%D0%B9%20%D1%81%D0%BF%D0%B8%D1%81%D0%BE%D0%BA%20%E2%80%94%20%D0%B2%D0%B8%D0%B4,%D0%BD%D0%B0%20%D0%BF%D0%BE%D0%B4%D0%B0%D0%BB%D1%8C%D1%88%D0%B8%D0%B9%20%D0%B2%D1%83%D0%B7%D0%BE%D0%BB%20%D1%83%20%D1%81%D0%BF%D0%B8%D1%81%D0%BA%D1%83.) From 8e4225ac713fe2b0747b66ab1cd4206ea72b7791 Mon Sep 17 00:00:00 2001 From: Berkay <102474166+doandroidsdreamof@users.noreply.github.com> Date: Thu, 10 Nov 2022 17:04:50 +0300 Subject: [PATCH 084/135] Update README.md (#953) Co-authored-by: Oleksii Trekhleb --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index aa0c184424..c9c6258769 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ _Read this in other languages:_ [_Español_](README.es-ES.md), [_Português_](README.pt-BR.md), [_Русский_](README.ru-RU.md), -[_Türk_](README.tr-TR.md), +[_Türkçe_](README.tr-TR.md), [_Italiana_](README.it-IT.md), [_Bahasa Indonesia_](README.id-ID.md), [_Українська_](README.uk-UA.md), From 565256088a1b99d3d7901b5d8db992fe9acabd2d Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Thu, 10 Nov 2022 15:06:33 +0100 Subject: [PATCH 085/135] README updates. --- src/data-structures/disjoint-set/README.uk-UA.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/disjoint-set/README.uk-UA.md b/src/data-structures/disjoint-set/README.uk-UA.md index f8c3be4df1..c721b66420 100644 --- a/src/data-structures/disjoint-set/README.uk-UA.md +++ b/src/data-structures/disjoint-set/README.uk-UA.md @@ -14,7 +14,7 @@ - _Find(x)_ - повертає ідентифікатор множини, що містить елемент x, - _Union(x,y)_ - об'єднання множин, що містять x та y. -Після деяких операцій _об'єднання_, деякі множини зібрані разом +Після деяких операцій _об'єднання_, деякі множини зібрані разом. ## Посилання From 025b9a390b5cde87d4d00604ee745e8ea83202ff Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 28 Nov 2022 16:43:30 +0100 Subject: [PATCH 086/135] Update Permutation and Combination cheatsheets. (#963) --- src/algorithms/sets/combinations/README.md | 32 ++++++++---------- .../images/combinations-overview.jpg | Bin 0 -> 352932 bytes .../images/combinations-with-repetitions.jpg | Bin 0 -> 331434 bytes .../combinations-without-repetitions.jpg | Bin 0 -> 309391 bytes .../sets/combinations/images/overview.png | Bin 0 -> 145014 bytes src/algorithms/sets/permutations/README.md | 22 ++++++------ .../sets/permutations/images/overview.png | Bin 0 -> 145014 bytes .../images/permutations-overview.jpeg | Bin 0 -> 314729 bytes .../images/permutations-with-repetitions.jpg | Bin 0 -> 307854 bytes .../permutations-without-repetitions.jpg | Bin 0 -> 373106 bytes 10 files changed, 25 insertions(+), 29 deletions(-) create mode 100644 src/algorithms/sets/combinations/images/combinations-overview.jpg create mode 100644 src/algorithms/sets/combinations/images/combinations-with-repetitions.jpg create mode 100644 src/algorithms/sets/combinations/images/combinations-without-repetitions.jpg create mode 100644 src/algorithms/sets/combinations/images/overview.png create mode 100644 src/algorithms/sets/permutations/images/overview.png create mode 100644 src/algorithms/sets/permutations/images/permutations-overview.jpeg create mode 100644 src/algorithms/sets/permutations/images/permutations-with-repetitions.jpg create mode 100644 src/algorithms/sets/permutations/images/permutations-without-repetitions.jpg diff --git a/src/algorithms/sets/combinations/README.md b/src/algorithms/sets/combinations/README.md index 30243b8614..69fc0603f9 100644 --- a/src/algorithms/sets/combinations/README.md +++ b/src/algorithms/sets/combinations/README.md @@ -5,14 +5,14 @@ When the order doesn't matter, it is a **Combination**. When the order **does** matter it is a **Permutation**. **"My fruit salad is a combination of apples, grapes and bananas"** -We don't care what order the fruits are in, they could also be -"bananas, grapes and apples" or "grapes, apples and bananas", +We don't care what order the fruits are in, they could also be +"bananas, grapes and apples" or "grapes, apples and bananas", its the same fruit salad. ## Combinations without repetitions -This is how lotteries work. The numbers are drawn one at a -time, and if we have the lucky numbers (no matter what order) +This is how lotteries work. The numbers are drawn one at a +time, and if we have the lucky numbers (no matter what order) we win! No Repetition: such as lottery numbers `(2,14,15,27,30,33)` @@ -30,12 +30,12 @@ It is often called "n choose r" (such as "16 choose 3"). And is also known as th Repetition is Allowed: such as coins in your pocket `(5,5,5,10,10)` -Or let us say there are five flavours of ice cream: +Or let us say there are five flavours of ice cream: `banana`, `chocolate`, `lemon`, `strawberry` and `vanilla`. We can have three scoops. How many variations will there be? -Let's use letters for the flavours: `{b, c, l, s, v}`. +Let's use letters for the flavours: `{b, c, l, s, v}`. Example selections include: - `{c, c, c}` (3 scoops of chocolate) @@ -46,23 +46,21 @@ Example selections include: ![Formula](https://www.mathsisfun.com/combinatorics/images/combinations-repeat.gif) -Where `n` is the number of things to choose from, and we -choose `r` of them. Repetition allowed, +Where `n` is the number of things to choose from, and we +choose `r` of them. Repetition allowed, order doesn't matter. -## Cheat Sheets +## Cheatsheet -Permutations cheat sheet +![Permutations and Combinations Overview](./images/overview.png) -![Permutations Cheat Sheet](https://cdn-images-1.medium.com/max/2000/1*JNK-n0Pt0Vbxk0lxVpgT5A.png) +![Combinations overview](./images/combinations-overview.jpg) -Combinations cheat sheet +| | | +| --- | --- | +|![Combinations with repetition](./images/combinations-with-repetitions.jpg) | ![Combinations without repetition](./images/combinations-without-repetitions.jpg) | -![Combinations Cheat Sheet](https://cdn-images-1.medium.com/max/2000/1*7cFRn8jW4g_91YgDAbmxRQ.png) - -Permutations/combinations algorithm ideas. - -![Algorithms Idea](https://cdn-images-1.medium.com/max/2000/1*vLsSsZMnesCFPCYTYMbxrQ.png) +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/algorithms/sets/combinations/images/combinations-overview.jpg b/src/algorithms/sets/combinations/images/combinations-overview.jpg new file mode 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a/src/algorithms/sets/permutations/README.md +++ b/src/algorithms/sets/permutations/README.md @@ -4,13 +4,13 @@ When the order doesn't matter, it is a **Combination**. When the order **does** matter it is a **Permutation**. -**"The combination to the safe is 472"**. We do care about the order. `724` won't work, nor will `247`. +**"The combination to the safe is 472"**. We do care about the order. `724` won't work, nor will `247`. It has to be exactly `4-7-2`. ## Permutations without repetitions -A permutation, also called an “arrangement number” or “order”, is a rearrangement of -the elements of an ordered list `S` into a one-to-one correspondence with `S` itself. +A permutation, also called an “arrangement number” or “order”, is a rearrangement of +the elements of an ordered list `S` into a one-to-one correspondence with `S` itself. Below are the permutations of string `ABC`. @@ -37,19 +37,17 @@ For example the the lock below: it could be `333`. n * n * n ... (r times) = n^r ``` -## Cheat Sheets +## Cheatsheet -Permutations cheat sheet +![Permutations and Combinations Overview](./images/overview.png) -![Permutations Cheat Sheet](https://cdn-images-1.medium.com/max/2000/1*JNK-n0Pt0Vbxk0lxVpgT5A.png) +![Permutations overview](./images/permutations-overview.jpeg) -Combinations cheat sheet +| | | +| --- | --- | +|![Permutations with repetition](./images/permutations-with-repetitions.jpg) | ![Permutations without repetition](./images/permutations-without-repetitions.jpg) | -![Combinations Cheat Sheet](https://cdn-images-1.medium.com/max/2000/1*7cFRn8jW4g_91YgDAbmxRQ.png) - -Permutations/combinations algorithm ideas. - -![Algorithms Idea](https://cdn-images-1.medium.com/max/2000/1*vLsSsZMnesCFPCYTYMbxrQ.png) +*Made with [okso.app](https://okso.app)* ## References diff --git a/src/algorithms/sets/permutations/images/overview.png b/src/algorithms/sets/permutations/images/overview.png new file mode 100644 index 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zpUbs-yQchw;*J{(euD>6%C3S;ch!*EB6VMHlCxCBQkaxB_{od+{vslxa5HjS&cx9| z<hGS94DET=qgZ&wXu&0;LA0gRHKrQ%&9hi08uHZ9vJ#3d;b5uKmYA{ z_}cG3UiZ7({uI%QHE`Eet_woc?P$7&~;GptyH~%L0 zb=K1o)uC@i;N}ipjQHrIM`HOF>76N)9aAN;9>ps{+0~cM+-&Swjb@Nm`Z^S?X=(*< zJZ0P4*_hY&4(~dve27Wc(2xYg?>XVNsLJ@twHREduxcTKo_F8scIA literal 0 HcmV?d00001 From a6a4d01f95a1f1f2243360d1fd7dbd2275f0fa79 Mon Sep 17 00:00:00 2001 From: "Oleksandr (Sasha) Khivrych" Date: Mon, 5 Dec 2022 06:38:35 +0000 Subject: [PATCH 087/135] feat: added ukranian translations for graph, heap, linked-list, priority-queue, queue, stack. trie (#965) --- src/data-structures/graph/README.md | 4 +- src/data-structures/graph/README.uk-UA.md | 24 +++ src/data-structures/heap/README.md | 4 +- src/data-structures/heap/README.uk-UA.md | 25 +++ src/data-structures/linked-list/README.md | 1 + .../linked-list/README.uk-UA.md | 147 ++++++++++++++++++ src/data-structures/priority-queue/README.md | 19 +-- .../priority-queue/README.uk-UA.md | 21 +++ src/data-structures/queue/README.md | 3 +- src/data-structures/queue/README.uk-UA.md | 21 +++ src/data-structures/stack/README.md | 3 +- src/data-structures/stack/README.uk-UA.md | 25 +++ src/data-structures/trie/README.md | 3 +- src/data-structures/trie/README.uk-UA.md | 27 ++++ 14 files changed, 313 insertions(+), 14 deletions(-) create mode 100644 src/data-structures/graph/README.uk-UA.md create mode 100644 src/data-structures/heap/README.uk-UA.md create mode 100644 src/data-structures/linked-list/README.uk-UA.md create mode 100644 src/data-structures/priority-queue/README.uk-UA.md create mode 100644 src/data-structures/queue/README.uk-UA.md create mode 100644 src/data-structures/stack/README.uk-UA.md create mode 100644 src/data-structures/trie/README.uk-UA.md diff --git a/src/data-structures/graph/README.md b/src/data-structures/graph/README.md index 9930053772..790602b536 100644 --- a/src/data-structures/graph/README.md +++ b/src/data-structures/graph/README.md @@ -4,7 +4,9 @@ _Read this in other languages:_ [_简体中文_](README.zh-CN.md), [_Русский_](README.ru-RU.md), [_Français_](README.fr-FR.md), -[_Português_](README.pt-BR.md) +[_Português_](README.pt-BR.md), +[_Українська_](README.uk-UA.md) + In computer science, a **graph** is an abstract data type that is meant to implement the undirected graph and diff --git a/src/data-structures/graph/README.uk-UA.md b/src/data-structures/graph/README.uk-UA.md new file mode 100644 index 0000000000..9886cd904c --- /dev/null +++ b/src/data-structures/graph/README.uk-UA.md @@ -0,0 +1,24 @@ +# Граф + +**Граф** в інформатиці - абстрактний тип даних, який має реалізовувати концепції спрямованого та неспрямованого +графа у математиці, особливо у галузі теорії графів. + +Структура даних графа складається з кінцевого (і можливо, що змінюється) набору вершин або вузлів, або точок, спільно з +набором ненаправлених пар цих вершин для ненаправленого графа або набором спрямованих пар для спрямованого графа. +Ці пари відомі як ребра, арки або лінії для ненаправленого графа та як стрілки, спрямовані ребра, спрямовані +арки чи спрямовані лінії для спрямованого графа. Ці вершини можуть бути частиною структури графа, або зовнішніми +сутностями, представленими цілими індексами або посиланнями. + +Для різних областей застосування види графів можуть відрізнятися спрямованістю, обмеженнями на кількість зв'язків та +додатковими даними про вершини або ребра. Багато структур, що становлять практичний інтерес у математиці та +інформатики можуть бути представлені графами. Наприклад, будову Вікіпедії можна змоделювати за допомогою +орієнтованого графа, в якому вершини – це статті, а дуги (орієнтовані ребра) – гіперпосилання. + +![Граф](./images/graph.jpeg) + +*Made with [okso.app](https://okso.app)* + +## Посилання + +- [Граф у математиці на Wikipedia](https://uk.wikipedia.org/wiki/%D0%93%D1%80%D0%B0%D1%84_(%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D0%BA%D0%B0)) +- [Структура даних Graph / Граф](https://www.youtube.com/watch?v=D0U8aFEhgKQ) diff --git a/src/data-structures/heap/README.md b/src/data-structures/heap/README.md index ef1d2e8b9a..db5f9e339f 100644 --- a/src/data-structures/heap/README.md +++ b/src/data-structures/heap/README.md @@ -7,7 +7,9 @@ _Read this in other languages:_ [_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md), [_Türkçe_](README.tr-TR.md), -[_한국어_](README.ko-KR.md) +[_한국어_](README.ko-KR.md), +[_Українська_](README.uk-UA.md) + In computer science, a **heap** is a specialized tree-based data structure that satisfies the heap property described diff --git a/src/data-structures/heap/README.uk-UA.md b/src/data-structures/heap/README.uk-UA.md new file mode 100644 index 0000000000..f35995d8ae --- /dev/null +++ b/src/data-structures/heap/README.uk-UA.md @@ -0,0 +1,25 @@ +# Купа (структура даних) + +У комп'ютерних науках купа - це спеціалізована структура даних на кшталт дерева, яка задовольняє властивості купи: +якщо B є вузлом-нащадком вузла A, то ключ (A) ≥ ключ (B). З цього випливає, що елемент із найбільшим ключем завжди +є кореневим вузлом купи, тому іноді такі купи називають max-купами. + +![MaxHeap](./images/max-heap.jpeg) + +![Array Representation](./images/array-representation.jpeg) + +Якщо порівняння перевернути, то найменший елемент завжди буде кореневим вузлом, такі купи називають min-купами. + +![MinHeap](./images/min-heap.jpeg) + +*Made with [okso.app](https://okso.app)* + +Не існує жодних обмежень щодо того, скільки вузлів-нащадків має кожен вузол купи. На практиці їх +число зазвичай трохи більше двох. Купа є максимально ефективною реалізацією абстрактного типу даних, який +називається чергою із пріоритетом. + +Вузол на вершині купи, який не має батьків, називається кореневим вузлом. + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%9A%D1%83%D0%BF%D0%B0_(%D1%81%D1%82%D1%80%D1%83%D0%BA%D1%82%D1%83%D1%80%D0%B0_%D0%B4%D0%B0%D0%BD%D0%B8%D1%85)) diff --git a/src/data-structures/linked-list/README.md b/src/data-structures/linked-list/README.md index 8819a390d3..bb30b07525 100644 --- a/src/data-structures/linked-list/README.md +++ b/src/data-structures/linked-list/README.md @@ -8,6 +8,7 @@ _Read this in other languages:_ [_한국어_](README.ko-KR.md), [_Español_](README.es-ES.md), [_Turkish_](README.tr-TR.md), +[_Українська_](README.uk-UA.md) In computer science, a **linked list** is a linear collection of data elements, in which linear order is not given by diff --git a/src/data-structures/linked-list/README.uk-UA.md b/src/data-structures/linked-list/README.uk-UA.md new file mode 100644 index 0000000000..5424c58db4 --- /dev/null +++ b/src/data-structures/linked-list/README.uk-UA.md @@ -0,0 +1,147 @@ +# Зв'язаний список + +Зв'язаний список — базова динамічна структура даних в інформатиці, що складається з вузлів, кожен з яких містить як дані, так посилання («зв'язку») на наступний вузол списку. Дана структура дозволяє ефективно додавати та видаляти елементи на довільній позиції у послідовності у процесі ітерації. Більш складні варіанти включають додаткові посилання, що дозволяють ефективно додавати та видаляти довільні елементи. + +Принциповою перевагою перед масивом є структурна гнучкість: порядок елементів зв'язкового списку може збігатися з порядком розташування елементів даних у пам'яті комп'ютера, а порядок обходу списку завжди явно задається його внутрішніми зв'язками. Суть переваги у тому, що у багатьох мовах створення масиву вимагає вказати його заздалегідь. Зв'язковий список дозволяє обійти це обмеження. + +Недоліком зв'язкових списків є те, що час доступу є лінійним (і важко для реалізації конвеєрів). Неможливий швидкий доступ (випадковий). + +![Linked List](./images/linked-list.jpeg) + +*Made with [okso.app](https://okso.app)* + +## Псевдокод основних операцій + +### Вставка + +```text +Add(value) + Pre: value - значення, що додається + Post: value поміщено в кінець списку + n ← node(value) + if head = ø + head ← n + tail ← n + else + tail.next ← n + tail ← n + end if +end Add +``` + +```text +Prepend(value) + Pre: value - значення, що додається + Post: value поміщено на початок списку + n ← node(value) + n.next ← head + head ← n + if tail = ø + tail ← n + end +end Prepend +``` + +### Поиск + +```text +Contains(head, value) + Pre: head - перший вузол у списку + value - значення, яке слід знайти + Post: true - value знайдено у списку, інакше false + n ← head + while n != ø and n.value != value + n ← n.next + end while + if n = ø + return false + end if + return true +end Contains +``` + +### Вилучення + +```text +Remove(head, value) + Pre: head - перший вузол у списку + value - значення, яке слід видалити + Post: true - value видалено зі списку, інакше false + if head = ø + return false + end if + n ← head + if n.value = value + if head = tail + head ← ø + tail ← ø + else + head ← head.next + end if + return true + end if + while n.next != ø and n.next.value != value + n ← n.next + end while + if n.next != ø + if n.next = tail + tail ← n + end if + n.next ← n.next.next + return true + end if + return false +end Remove +``` + +### Обход + +```text +Traverse(head) + Pre: head - перший вузол у списку + Post: елементи списку пройдені + n ← head + while n != ø + yield n.value + n ← n.next + end while +end Traverse +``` + +### Зворотний обхід + +```text +ReverseTraversal(head, tail) + Pre: head и tail відносяться до одного списку + Post: елементи списку пройдено у зворотному порядку + if tail != ø + curr ← tail + while curr != head + prev ← head + while prev.next != curr + prev ← prev.next + end while + yield curr.value + curr ← prev + end while + yield curr.value + end if +end ReverseTraversal +``` + +## Складність + +### Тимчасова складність + +| Читання | Пошук | Вставка | Вилучення | +| :--------: | :-------: | :--------: | :-------: | +| O(n) | O(n) | O(1) | O(n) | + +### Просторова складність + +O(n) + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%97%D0%B2%27%D1%8F%D0%B7%D0%B0%D0%BD%D0%B8%D0%B9_%D1%81%D0%BF%D0%B8%D1%81%D0%BE%D0%BA) +- [YouTube](https://www.youtube.com/watch?v=6snsMa4E1Os) diff --git a/src/data-structures/priority-queue/README.md b/src/data-structures/priority-queue/README.md index eb5ec72985..6d0901960d 100644 --- a/src/data-structures/priority-queue/README.md +++ b/src/data-structures/priority-queue/README.md @@ -6,20 +6,21 @@ _Read this in other languages:_ [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md), -[_한국어_](README.ko-KR.md) +[_한국어_](README.ko-KR.md), +[_Українська_](README.uk-UA.md) -In computer science, a **priority queue** is an abstract data type -which is like a regular queue or stack data structure, but where -additionally each element has a "priority" associated with it. -In a priority queue, an element with high priority is served before -an element with low priority. If two elements have the same +In computer science, a **priority queue** is an abstract data type +which is like a regular queue or stack data structure, but where +additionally each element has a "priority" associated with it. +In a priority queue, an element with high priority is served before +an element with low priority. If two elements have the same priority, they are served according to their order in the queue. -While priority queues are often implemented with heaps, they are -conceptually distinct from heaps. A priority queue is an abstract +While priority queues are often implemented with heaps, they are +conceptually distinct from heaps. A priority queue is an abstract concept like "a list" or "a map"; just as a list can be implemented with a linked list or an array, a priority queue can be implemented -with a heap or a variety of other methods such as an unordered +with a heap or a variety of other methods such as an unordered array. ## References diff --git a/src/data-structures/priority-queue/README.uk-UA.md b/src/data-structures/priority-queue/README.uk-UA.md new file mode 100644 index 0000000000..2f0454479e --- /dev/null +++ b/src/data-structures/priority-queue/README.uk-UA.md @@ -0,0 +1,21 @@ +# Черга з пріоритетом + +Черга з пріоритетом (англ. priority queue) - абстрактний тип даних в інформатиці, +для кожного елемента якого можна визначити його пріоритет. + +У черзі з пріоритетами елемент із високим пріоритетом обслуговується раніше +елемент з низьким пріоритетом. Якщо два елементи мають однаковий пріоритет, вони +обслуговуються відповідно до їх порядку в черзі. + +Черга з пріоритетом підтримує дві обов'язкові операції – додати елемент та +витягти максимум (мінімум). + +Хоча пріоритетні черги часто реалізуються у вигляді куп (heaps), вони +концептуально відрізняються від куп. Черга пріоритетів є абстрактною +концепцією на кшталт «списку» чи «карти»; так само, як список може бути реалізований +у вигляді зв'язкового списку або масиву, так і черга з пріоритетом може бути реалізована +у вигляді купи або безліччю інших методів, наприклад, у вигляді невпорядкованого масиву. + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%A7%D0%B5%D1%80%D0%B3%D0%B0_%D0%B7_%D0%BF%D1%80%D1%96%D0%BE%D1%80%D0%B8%D1%82%D0%B5%D1%82%D0%BE%D0%BC) diff --git a/src/data-structures/queue/README.md b/src/data-structures/queue/README.md index c1e40d735c..d8e0288b42 100644 --- a/src/data-structures/queue/README.md +++ b/src/data-structures/queue/README.md @@ -6,7 +6,8 @@ _Read this in other languages:_ [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md), -[_한국어_](README.ko-KR.md) +[_한국어_](README.ko-KR.md), +[_Українська_](README.uk-UA.md) In computer science, a **queue** is a particular kind of abstract data type or collection in which the entities in the collection are diff --git a/src/data-structures/queue/README.uk-UA.md b/src/data-structures/queue/README.uk-UA.md new file mode 100644 index 0000000000..7934c7571a --- /dev/null +++ b/src/data-structures/queue/README.uk-UA.md @@ -0,0 +1,21 @@ +# Черга + +Черга (англ. queue) – структура даних в інформатиці, в якій елементи +зберігаються у порядку їх додавання. Додавання нових елементів(enqueue) +здійснюється на кінець списку. А видалення елементів (dequeue) +здійснюється із початку. Таким чином черга реалізує принцип +"першим увійшов – першим вийшов" (FIFO). Часто реалізується операція читання +головного елемента (peek), яка повертає перший у черзі елемент, +при цьому не видаляючи його. Черга є прикладом лінійної структури +даних чи послідовної колекції. + +Ілюстрація роботи з чергою. + +![Черга](./images/queue.jpeg) + +*Made with [okso.app](https://okso.app)* + +## Список літератури + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%A7%D0%B5%D1%80%D0%B3%D0%B0_(%D1%81%D1%82%D1%80%D1%83%D0%BA%D1%82%D1%83%D1%80%D0%B0_%D0%B4%D0%B0%D0%BD%D0%B8%D1%85)) +- [YouTube](https://www.youtube.com/watch?v=ll4QLNSPn60) diff --git a/src/data-structures/stack/README.md b/src/data-structures/stack/README.md index 645e66c117..612f926736 100644 --- a/src/data-structures/stack/README.md +++ b/src/data-structures/stack/README.md @@ -6,7 +6,8 @@ _Read this in other languages:_ [_日本語_](README.ja-JP.md), [_Français_](README.fr-FR.md), [_Português_](README.pt-BR.md), -[_한국어_](README.ko-KR.md) +[_한국어_](README.ko-KR.md), +[_Українська_](README.uk-UA.md) In computer science, a **stack** is an abstract data type that serves as a collection of elements, with two principal operations: diff --git a/src/data-structures/stack/README.uk-UA.md b/src/data-structures/stack/README.uk-UA.md new file mode 100644 index 0000000000..9941114f5b --- /dev/null +++ b/src/data-structures/stack/README.uk-UA.md @@ -0,0 +1,25 @@ +# Стек + +Стек (англ. stack - стопка) - абстрактний тип даних, що представляє собою +список елементів, організованих за принципом LIFO (останнім прийшов – першим вийшов). + +Стек має дві ключові операції: +* **додавання (push)** елемента в кінець стеку, та +* **видалення (pop)**, останнього доданого елемента. + +Додаткова операція для читання головного елемента (peek) дає доступ +до останнього елементу стека без зміни самого стека. + +Найчастіше принцип роботи стека порівнюють зі чаркою тарілок: щоб узяти другу +зверху потрібно зняти верхню. + +Ілюстрація роботи зі стеком. + +![Стек](./images/stack.jpeg) + +*Made with [okso.app](https://okso.app)* + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%A1%D1%82%D0%B5%D0%BA) +- [YouTube](https://www.youtube.com/watch?v=4jh1e1YCbYc) diff --git a/src/data-structures/trie/README.md b/src/data-structures/trie/README.md index f6f38ece09..2082fed903 100644 --- a/src/data-structures/trie/README.md +++ b/src/data-structures/trie/README.md @@ -3,7 +3,8 @@ _Read this in other languages:_ [_简体中文_](README.zh-CN.md), [_Русский_](README.ru-RU.md), -[_Português_](README.pt-BR.md) +[_Português_](README.pt-BR.md), +[_Українська_](README.uk-UA.md) In computer science, a **trie**, also called digital tree and sometimes radix tree or prefix tree (as they can be searched by prefixes), diff --git a/src/data-structures/trie/README.uk-UA.md b/src/data-structures/trie/README.uk-UA.md new file mode 100644 index 0000000000..3b1f01f0aa --- /dev/null +++ b/src/data-structures/trie/README.uk-UA.md @@ -0,0 +1,27 @@ +# Префіксне дерево + +**Префіксне дерево** (Також промінь, навантажене або суфіксне дерево) в інформатиці - впорядкована деревоподібна +структура даних, яка використовується для зберігання динамічних множин або асоціативних масивів, де +ключем зазвичай виступають рядки. Дерево називається префіксним, тому що пошук здійснюється за префіксами. + +На відміну від бінарного дерева, вузли не містять ключів, що відповідають вузлу. Являє собою кореневе дерево, кожне +ребро якого позначено якимось символом так, що для будь-якого вузла всі ребра, що з'єднують цей вузол з його синами, +позначені різними символами. Деякі вузли префіксного дерева виділені (на малюнку вони підписані цифрами) і вважається, +що префіксне дерево містить цей рядок-ключ тоді і тільки тоді, коли цей рядок можна прочитати на шляху з +кореня до певного виділеного вузла. + +Таким чином, на відміну від бінарних дерев пошуку, ключ, що ідентифікує конкретний вузол дерева, не явно зберігається в +цьому вузлі, а неявно задається положенням цього вузла в дереві. Отримати ключ можна виписуванням поспіль символів, +помічають ребра по дорозі від кореня до вузла. Ключ кореня дерева - порожній рядок. Часто у виділених вузлах зберігають +додаткову інформацію, пов'язану з ключем, і зазвичай виділеними є тільки листя і, можливо, деякі +внутрішні вузли. + +![Префіксне дерево](./images/trie.jpg) + +*Made with [okso.app](https://okso.app)* + +На малюнку представлено префіксне дерево, що містить ключі. «A», «to», «tea», «ted», «ten», «i», «in», «inn». + +## Посилання + +- [Wikipedia](https://uk.wikipedia.org/wiki/%D0%9F%D1%80%D0%B5%D1%84%D1%96%D0%BA%D1%81%D0%BD%D0%B5_%D0%B4%D0%B5%D1%80%D0%B5%D0%B2%D0%BE) From 2a6f724589a1887a8ed6b665fa238e29acbf8c8c Mon Sep 17 00:00:00 2001 From: j0pgrm <109052480+j0pgrm@users.noreply.github.com> Date: Sun, 4 Dec 2022 23:59:33 -0700 Subject: [PATCH 088/135] Malay readme (#927) * update-readme * deploy * deploy Co-authored-by: name Co-authored-by: Oleksii Trekhleb --- README.ma-MA.md | 364 ++++++++++++++++++ README.md | 2 +- .../graph/breadth-first-search/README.md | 4 +- 3 files changed, 367 insertions(+), 3 deletions(-) create mode 100644 README.ma-MA.md diff --git a/README.ma-MA.md b/README.ma-MA.md new file mode 100644 index 0000000000..0f75b78a12 --- /dev/null +++ b/README.ma-MA.md @@ -0,0 +1,364 @@ +# Algoritma JavaScript dan Struktur Data + +> 🇺🇦 UKRAINE [SEDANG DISERANG](https://twitter.com/MFA_Ukraine) OLEH TENTERA RUSIA. ORANG AWAM SEMAKIN DIBUNUH. KAWASAN KEDIAMAN SEMAKIN DIBOM. +> - Bantu Ukraine melalui [Bank Negara Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) +> - Bantu Ukraine melalui dana [SaveLife](https://savelife.in.ua/en/donate-en/) +> - Maklumat lanjut tentang [war.ukraine.ua](https://war.ukraine.ua/) + +[![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow% 3ACI+cawangan%3Amaster) +[![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) + +Repositori ini mengandungi banyak contoh berasaskan JavaScript +algoritma dan struktur data yang popular. + +Setiap algoritma dan struktur data mempunyai README tersendiri +dengan penjelasan dan pautan berkaitan untuk bacaan lanjut (termasuk yang +kepada video YouTube). + +_Baca ini dalam bahasa lain:_ +[_简体中文_](README.zh-CN.md), +[_繁體中文_](README.zh-TW.md), +[_한국어_](README.ko-KR.md), +[_日本語_](README.ja-JP.md), +[_Polski_](README.pl-PL.md), +[_Français_](README.fr-FR.md), +[_Español_](README.es-ES.md), +[_Português_](README.pt-BR.md), +[_Русский_](README.ru-RU.md), +[_Türk_](README.tr-TR.md), +[_Italiana_](README.it-IT.md), +[_Bahasa Indonesia_](README.id-ID.md), +[_Українська_](README.uk-UA.md), +[_Arab_](README.ar-AR.md), +[_Tiếng Việt_](README.vi-VN.md), +[_Deutsch_](README.de-DE.md) + +*☝ Ambil perhatian bahawa projek ini bertujuan untuk digunakan untuk tujuan pembelajaran dan penyelidikan +sahaja, dan ia **tidak** bertujuan untuk digunakan untuk pengeluaran.* + +## Struktur Data + +Struktur data ialah cara tertentu untuk mengatur dan menyimpan data dalam komputer supaya ia boleh +boleh diakses dan diubah suai dengan cekap. Lebih tepat lagi, struktur data ialah himpunan data +nilai, hubungan di antara mereka, dan fungsi atau operasi yang boleh digunakan +data itu. + +`B` - Pemula, `A` - Lanjutan + +* `B` [Senarai Terpaut](src/struktur-data/senarai-terpaut) +* `B` [Senarai Terpaut Berganda](src/struktur-data/senarai-berpaut-dua) +* `B` [Barisan](src/struktur-data/baris gilir) +* `B` [Timbunan](src/struktur-data/tindanan) +* `B` [Jadual Hash](src/struktur-data/jadual cincang) +* `B` [Timbunan](src/struktur-data/timbunan) - versi timbunan maks dan min +* `B` [Baris Keutamaan](src/struktur-data/baris gilir keutamaan) +* `A` [Trie](src/data-structures/trie) +* `A` [Pokok](src/struktur-data/pokok) + * `A` [Pokok Carian Perduaan](src/struktur-data/pokok/pokok-cari-perduaan) + * `A` [AVL Tree](src/data-structures/tree/avl-tree) + * `A` [Pokok Merah-Hitam](src/struktur-data/pokok/pokok-merah-hitam) + * `A` [Pokok Segmen](src/data-structures/tree/segment-tree) - dengan contoh pertanyaan julat min/maks/jumlah + * `A` [Pokok Fenwick](src/struktur-data/pokok/pokok-fenwick) (Pokok Berindeks Perduaan) +* `A` [Graf](src/struktur-data/graf) (kedua-dua terarah dan tidak terarah) +* `A` [Set Terpisah](src/struktur-data/set-terpisah) +* `A` [Bloom Filter](src/data-structures/bloom-filter) + +## Algoritma + +Algoritma ialah spesifikasi yang tidak jelas tentang cara menyelesaikan kelas masalah. Ia adalah +satu set peraturan yang mentakrifkan dengan tepat urutan operasi. + +`B` - Pemula, `A` - Lanjutan + +### Algoritma mengikut Topik + +* **Matematik** + * `B` [Manipulasi Bit](src/algoritma/matematik/bit) - set/dapatkan/kemas kini/kosongkan bit, darab/bahagi dengan dua, jadikan negatif dsb. + * `B` [Titik Terapung Perduaan](src/algoritma/matematik/titik terapung binari) - perwakilan binari nombor titik terapung. + * `B` [Factorial](src/algoritma/matematik/faktorial) + * `B` [Nombor Fibonacci](src/algoritma/matematik/fibonacci) - versi klasik dan bentuk tertutup + * `B` [Faktor Perdana](src/algoritma/matematik/faktor-prima) - mencari faktor perdana dan mengiranya menggunakan teorem Hardy-Ramanujan + * `B` [Ujian Primaliti](src/algoritma/matematik/ujian-primaliti) (kaedah pembahagian percubaan) + * `B` [Algoritma Euclidean](src/algorithm/math/euclidean-algorithm) - kira Pembahagi Sepunya Terhebat (GCD) + * `B` [Garab Sepunya Terkecil](src/algoritma/matematik/bilangan-paling-biasa) (LCM) + * `B` [Ayak Eratosthenes](src/algoritma/matematik/ayak-eratosthenes) - mencari semua nombor perdana sehingga mana-mana had tertentu + * `B` [Adalah Kuasa Dua](src/algoritma/math/is-power-of-two) - semak sama ada nombor itu kuasa dua (algoritma naif dan bitwise) + * `B` [Segitiga Pascal](src/algoritma/matematik/segitiga-pascal) + * `B` [Nombor Kompleks](src/algoritma/matematik/nombor-kompleks) - nombor kompleks dan operasi asas dengannya + * `B` [Radian & Darjah](src/algoritma/matematik/radian) - penukaran radian kepada darjah dan ke belakang + * `B` [Fast Powering](src/algorithm/math/fast-powering) + * `B` [Kaedah Horner](src/algoritma/matematik/kaedah-horner) - penilaian polinomial + * `B` [Matriks](src/algoritma/matematik/matriks) - matriks dan operasi matriks asas (pendaraban, transposisi, dsb.) + * `B` [Jarak Euclidean](src/algoritma/matematik/jarak-euclidean) - jarak antara dua titik/vektor/matriks + * `A` [Pembahagian Integer](src/algoritma/matematik/integer-partition) + * `A` [Akar Kuasa Dua](src/algoritma/matematik/akar-kuadrat) - Kaedah Newton + * `A` [Algoritma Liu Hui π](src/algoritma/math/liu-hui) - anggaran π pengiraan berdasarkan N-gons + * `A` [Transformasi Fourier Diskret](src/algoritma/matematik/fourier-transform) - menguraikan fungsi masa (suatu isyarat) kepada frekuensi yang membentuknya +* **Set** + * `B` [Produk Cartesian](src/algoritma/set/produk cartesian) - hasil daripada berbilang set + * `B` [Fisher–Yates Shuffle](src/algoritma/sets/fisher-yates) - pilih atur rawak bagi urutan terhingga + * `A` [Set Kuasa](src/algoritma/set/set-kuasa) - semua subset set (penyelesaian bitwise dan backtracking) + * `A` [Permutasi](src/algoritma/set/permutasi) (dengan dan tanpa ulangan) + * `A` [Gabungan](src/algoritma/set/gabungan) (dengan dan tanpa ulangan) + * `A` [Turutan Sepunya Terpanjang](src/algoritma/set/susulan-biasa-terpanjang) (LCS) + * `A` [Surutan Bertambah Terpanjang](src/algoritma/set/susulan-bertambah-panjang) + * `A` [Jurutan Sepunya Terpendek](src/algoritma/set/jujukan-sepunya-terpendek) (SCS) + * `A` [Masalah Knapsack](src/algorithms/sets/knapsack-problem) - "0/1" dan "Unbound" + * `A` [Maximum Subarray](src/algorithm/sets/maximum-subarray) - versi "Brute Force" dan "Dynamic Programming" (Kadane's) + * `A` [Jumlah Gabungan](src/algoritma/set/jumlah-gabungan) - cari semua gabungan yang membentuk jumlah tertentu +* **Rentetan** + * `B` [Jarak Hamming](src/algoritma/rentetan/jarak hamming) - bilangan kedudukan di mana simbol berbeza + * `B` [Palindrome](src/algorithm/string/palindrome) - semak sama ada rentetan adalah sama secara terbalik + * `A` [Jarak Levenshtein](src/algoritma/rentetan/levenshtein-jarak) - jarak edit minimum antara dua jujukan + * `A` [Algoritma Knuth–Morris–Pratt](src/algorithm/string/knuth-morris-pratt) (Algoritma KMP) - carian subrentetan (padanan corak) + * `A` [Z Algoritma](src/algorithm/string/z-algorithm) - carian subrentetan (padanan corak) + * `A` [Algoritma Rabin Karp](src/algorithm/string/rabin-karp) - carian subrentetan + * `A` [Subrentetan Biasa Terpanjang](src/algoritma/rentetan/subrentetan-biasa-terpanjang) + * `A` [Padanan Ungkapan Biasa](src/algoritma/rentetan/padanan-ungkapan-biasa) + * **Carian** + * `B` [Carian Linear](src/algorithm/search/linear-search) + * `B` [Cari Lompat](src/algorithm/search/jump-search) (atau Carian Sekat) - cari dalam tatasusunan yang diisih + * `B` [Carian Binari](src/algorithm/search/binary-search) - cari dalam tatasusunan yang diisih + * `B` [Carian Interpolasi](src/algoritma/search/interpolation-search) - cari dalam tatasusunan tersusun yang diedarkan secara seragam +* **Menyusun** + * `B` [Isih Buih](src/algoritma/isih/isih-buih) + * `B` [Isih Pilihan](src/algoritma/isih/isih-pilihan) + * `B` [Isih Sisipan](src/algoritma/isih/isihan-sisipan) + * `B` [Isih Timbunan](src/algoritma/isih/isih-timbun) + * `B` [Isih Gabung](src/algoritma/isih/isih-gabung) + * `B` [Quicksort](src/algorithm/sorting/quick-sort) - pelaksanaan di tempat dan bukan di tempat + * `B` [Shellsort](src/algoritm/sorting/shell-sort) + * `B` [Isih Mengira](src/algoritma/isihan/isihan-kira) + * `B` [Isih Radix](src/algoritma/isih/isih-radix) +* **Senarai Terpaut** + * `B` [Straight Traversal](src/algorithm/linked-list/traversal) + * `B` [Reverse Traversal](src/algorithm/linked-list/reverse-traversal) +* **Pokok** + * `B` [Depth-First Search](src/algorithm/tree/depth-first-search) (DFS) + * `B` [Breadth-First-search](src/algorithm/tree/breadth-first-search) (BFS) +* **Graf** + * `B` [Depth-First Search](src/algorithm/graph/depth-first-search) (DFS) + * `B` [Breadth-First Search](src/algorithm/graph/breadth-first-search) (BFS) + * `B` [Algoritma Kruskal](src/algoritma/graf/kruskal) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran + * `A` [Algoritma Dijkstra](src/algorithm/graph/dijkstra) - mencari laluan terpendek ke semua bucu graf dari bucu tunggal + * `A` [Algoritma Bellman-Ford](src/algoritma/graf/bellman-ford) - mencari laluan terpendek ke semua bucu graf daripada bucu tunggal + * `A` [Algoritma Floyd-Warshall](src/algorithm/graph/floyd-warshall) - cari laluan terpendek antara semua pasangan bucu + * `A` [Detect Cycle](src/algorithm/graph/detect-cycle) - untuk kedua-dua graf terarah dan tidak terarah (versi berasaskan DFS dan Disjoint Set) + * `A` [Algoritma Prim](src/algoritma/graf/prim) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran + * `A` [Isih Topologi](src/algoritma/graf/isihan-topologi) - Kaedah DFS + * `A` [Mata Artikulasi](src/algoritma/graf/titik-artikulasi) - Algoritma Tarjan (berasaskan DFS) + * `A` [Bridges](src/algorithm/graph/bridges) - algoritma berasaskan DFS + * `A` [Eulerian Path and Eulerian Circuit](src/algorithm/graph/eulerian-path) - Algoritma Fleury - Lawati setiap tepi tepat sekali + * `A` [Kitaran Hamiltonian](src/algoritma/graf/kitaran-hamilton) - Lawati setiap bucu tepat sekali + * `A` [Komponen Bersambung Kuat](src/algoritma/graf/komponen-kuat-bersambung) - Algoritma Kosaraju + * `A` [Masalah Jurujual Perjalanan](src/algoritma/graf/jurujual-perjalanan) - laluan terpendek mungkin yang melawati setiap bandar dan kembali ke bandar asal +* **Kriptografi** + * `B` [Cincangan Polinomial](src/algoritma/kriptografi/cincang polinomial) - fungsi cincang bergolek berdasarkan polinomial + * `B` [Sifir Pagar Rel](src/algoritma/kriptografi/sifir-pagar-rel) - algoritma sifir transposisi untuk pengekodan mesej + * `B` [Caesar Cipher](src/algoritma/kriptografi/caesar-cipher) - sifir penggantian mudah + * `B` [Sifir Bukit](src/algoritma/kriptografi/sifir bukit) - sifir penggantian berdasarkan algebra linear +* **Pembelajaran Mesin** + * `B` [NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 fungsi JS mudah yang menggambarkan bagaimana mesin sebenarnya boleh belajar (perambatan ke hadapan/belakang) + * `B` [k-NN](src/algoritma/ml/knn) - algoritma klasifikasi jiran terdekat k + * `B` [k-Means](src/algorithm/ml/k-means) - algoritma pengelompokan k-Means +* **Pemprosesan imej** + * `B` [Ukiran Jahitan](src/algoritma/pemprosesan-imej/ukiran-jahitan) - algoritma saiz semula imej sedar kandungan +* **Statistik** + * `B` [Rawak Berwajaran](src/algoritma/statistik/rawak-wajaran) - pilih item rawak daripada senarai berdasarkan berat item +* **Algoritma evolusi** + * `A` [Algoritma genetik](https://github.com/trekhleb/self-parking-car-evolution) - contoh cara algoritma genetik boleh digunakan untuk melatih kereta letak sendiri + * **Tidak dikategorikan** + * `B` [Menara Hanoi](src/algoritma/tidak dikategorikan/menara-hanoi) + * `B` [Putaran Matriks Persegi](src/algoritma/tidak dikategorikan/putaran-matriks-persegi) - algoritma di tempat + * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) - menjejak ke belakang, pengaturcaraan dinamik (atas ke bawah + bawah ke atas) dan contoh tamak + * `B` [Laluan Unik](src/algorithms/uncategorized/unique-paths) - penjejakan ke belakang, pengaturcaraan dinamik dan contoh berasaskan Segitiga Pascal + * `B` [Teres Hujan](src/algoritma/tidak dikategorikan/teres hujan) - memerangkap masalah air hujan (versi pengaturcaraan dinamik dan kekerasan) + * `B` [Tangga Rekursif](src/algoritma/tidak dikategorikan/tangga rekursif) - kira bilangan cara untuk sampai ke atas (4 penyelesaian) + * `B` [Masa Terbaik Untuk Membeli Saham Jual](src/algoritma/tidak dikategorikan/masa-terbaik-untuk-membeli-menjual-saham) - bahagikan dan takluk serta contoh satu laluan + * `A` [Masalah N-Queens](src/algoritma/uncategorized/n-queens) + * `A` [Lawatan Kesatria](src/algoritma/tidak dikategorikan/jelajah kesatria) + +### Algoritma mengikut Paradigma + +Paradigma algoritma ialah kaedah atau pendekatan generik yang mendasari reka bentuk kelas +daripada algoritma. Ia adalah abstraksi yang lebih tinggi daripada tanggapan algoritma, sama seperti an +algoritma adalah abstraksi yang lebih tinggi daripada program komputer. + +* **Brute Force** - lihat semua kemungkinan dan pilih penyelesaian terbaik + * `B` [Carian Linear](src/algorithm/search/linear-search) + * `B` [Rain Terraces](src/algoritma/uncategorized/rain-teres) - memerangkap masalah air hujan + * `B` [Tangga Rekursif](src/algoritma/tak berkategori/tangga rekursif) - kira bilangan cara untuk sampai ke atas + * `A` [Subarray Maksimum](src/algoritma/set/subarray maksimum) + * `A` [Masalah Jurujual Perjalanan](src/algoritma/graf/jurujual-perjalanan) - laluan terpendek mungkin yang melawati setiap bandar dan kembali ke bandar asal + * `A` [Transformasi Fourier Diskret](src/algoritma/matematik/fourier-transform) - menguraikan fungsi masa (suatu isyarat) kepada frekuensi yang membentuknya +* **Rakus** - pilih pilihan terbaik pada masa semasa, tanpa sebarang pertimbangan untuk masa hadapan +* `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) + * `A` [Masalah Knapsack Tidak Terikat](src/algoritma/set/masalah-knapsack) + * `A` [Algoritma Dijkstra](src/algoritma/graf/dijkstra) - mencari laluan terpendek ke semua bucu graf + * `A` [Algoritma Prim](src/algoritma/graf/prim) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran + * `A` [Algoritma Kruskal](src/algoritma/graf/kruskal) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran +* **Divide and Conquer** - bahagikan masalah kepada bahagian yang lebih kecil dan kemudian selesaikan bahagian tersebut + * `B` [Carian Perduaan](src/algoritma/carian/pencarian-perduaan) + * `B` [Menara Hanoi](src/algoritma/tidak dikategorikan/menara-hanoi) + * `B` [Segitiga Pascal](src/algoritma/matematik/segitiga-pascal) + * `B` [Algoritma Euclidean](src/algorithm/math/euclidean-algorithm) - kira Pembahagi Sepunya Terhebat (GCD) + * `B` [Isih Gabung](src/algoritma/isih/isih-gabung) + * `B` [Isih Pantas](src/algoritma/isih/isih-pantas) + * `B` [Carian Kedalaman-Pertama Pokok](src/algoritma/pokok/carian-pertama-dalam) (DFS) + * `B` [Graph Depth-First Search](src/algorithm/graph/depth-first-search) (DFS) + * `B` [Matriks](src/algoritma/matematik/matriks) - menjana dan melintasi matriks pelbagai bentuk + * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) + * `B` [Fast Powering](src/algorithm/math/fast-powering) + * `B` [Masa Terbaik Untuk Membeli Saham Jual](src/algoritma/tidak dikategorikan/masa-terbaik-untuk-membeli-menjual-saham) - bahagikan dan takluk serta contoh satu laluan + * `A` [Permutasi](src/algoritma/set/permutasi) (dengan dan tanpa ulangan) + * `A` [Gabungan](src/algoritma/set/gabungan) (dengan dan tanpa ulangan) + * `A` [Subarray Maksimum](src/algoritma/set/subarray maksimum) +* **Pengaturcaraan Dinamik** - bina penyelesaian menggunakan sub-penyelesaian yang ditemui sebelum ini + * `B` [Nombor Fibonacci](src/algoritma/matematik/fibonacci) + * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) + * `B` [Laluan Unik](src/algoritma/tidak dikategorikan/laluan-unik) + * `B` [Rain Terraces](src/algoritma/uncategorized/rain-teres) - memerangkap masalah air hujan + + * `B` [Tangga Rekursif](src/algoritma/tak berkategori/tangga rekursif) - kira bilangan cara untuk sampai ke atas + * `B` [Ukiran Jahitan](src/algoritma/pemprosesan-imej/ukiran-jahitan) - algoritma saiz semula imej sedar kandungan + * `A` [Jarak Levenshtein](src/algoritma/rentetan/levenshtein-jarak) - jarak edit minimum antara dua jujukan + * `A` [Turutan Sepunya Terpanjang](src/algoritma/set/susulan-biasa-terpanjang) (LCS) + * `A` [Subrentetan Biasa Terpanjang](src/algoritma/rentetan/subrentetan-biasa-terpanjang) + * `A` [Surutan Bertambah Terpanjang](src/algoritma/set/susulan-bertambah-panjang) + * `A` [Jujukan Sepunya Terpendek](src/algoritma/set/jujukan-sepunya-terpendek) + * `A` [0/1 Masalah Knapsack](src/algoritma/set/knapsack-problem) + * `A` [Pembahagian Integer](src/algoritma/matematik/integer-partition) + * `A` [Subarray Maksimum](src/algoritma/set/subarray maksimum) + * `A` [Algoritma Bellman-Ford](src/algorithm/graph/bellman-ford) - mencari laluan terpendek ke semua bucu graf + * `A` [Algoritma Floyd-Warshall](src/algorithm/graph/floyd-warshall) - cari laluan terpendek antara semua pasangan bucu + * `A` [Padanan Ungkapan Biasa](src/algoritma/rentetan/padanan-ungkapan-biasa) +* **Penjejakan Belakang** - sama seperti kekerasan, cuba jana semua penyelesaian yang mungkin, tetapi setiap kali anda menjana penyelesaian seterusnya anda menguji +jika ia memenuhi semua syarat, dan hanya kemudian terus menjana penyelesaian seterusnya. Jika tidak, mundur, dan teruskan a +jalan yang berbeza untuk mencari penyelesaian. Biasanya traversal DFS bagi ruang keadaan sedang digunakan. + * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) + * `B` [Laluan Unik](src/algoritma/tidak dikategorikan/laluan-unik) + * `B` [Set Kuasa](src/algoritma/set/set-kuasa) - semua subset set + * `A` [Kitaran Hamiltonian](src/algoritma/graf/kitaran-hamilton) - Lawati setiap bucu tepat sekali + * `A` [Masalah N-Queens](src/algoritma/uncategorized/n-queens) + * `A` [Lawatan Kesatria](src/algoritma/tidak dikategorikan/jelajah kesatria) + * `A` [Jumlah Gabungan](src/algoritma/set/jumlah-gabungan) - cari semua gabungan yang membentuk jumlah tertentu + + * **Branch & Bound** - ingat penyelesaian kos terendah yang terdapat pada setiap peringkat penjejakan ke belakang +cari, dan gunakan kos penyelesaian kos terendah yang ditemui setakat ini sebagai had yang lebih rendah pada kos +penyelesaian kos termurah untuk masalah, untuk membuang penyelesaian separa dengan kos lebih besar daripada +penyelesaian kos terendah ditemui setakat ini. Biasanya traversal BFS digabungkan dengan traversal DFS of state-space +pokok sedang digunakan. + +## Cara menggunakan repositori ini + +**Pasang semua kebergantungan** + +``` +pemasangan npm +``` + +**Jalankan ESLint** + +Anda mungkin mahu menjalankannya untuk menyemak kualiti kod. + +``` +npm run lint +``` + +**Jalankan semua ujian** + +``` +ujian npm +``` + +**Jalankan ujian mengikut nama** + +``` +ujian npm -- 'LinkedList' +``` + +**Penyelesaian masalah** + +Jika linting atau ujian gagal, cuba padamkan folder `node_modules` dan pasang semula pakej npm: + +``` +rm -rf ./node_modules +npm i +``` + +Juga pastikan anda menggunakan versi Nod yang betul (`>=14.16.0`). Jika anda menggunakan [nvm](https://github.com/nvm-sh/nvm) untuk pengurusan versi Nod, anda boleh menjalankan `nvm use` daripada folder akar projek dan versi yang betul akan diambil. + +**Taman permainan** + +Anda boleh bermain dengan struktur data dan algoritma dalam fail `./src/playground/playground.js` dan tulis +mengujinya dalam `./src/playground/__test__/playground.test.js`. + +Kemudian hanya jalankan arahan berikut untuk menguji sama ada kod taman permainan anda berfungsi seperti yang diharapkan: + +``` +ujian npm -- 'taman permainan' +``` + +## Informasi berguna + +### Rujukan + +[▶ Struktur Data dan Algoritma di YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) + +### Notasi O Besar + +*Notasi O Besar* digunakan untuk mengklasifikasikan algoritma mengikut cara masa berjalan atau keperluan ruang mereka berkembang apabila saiz input bertambah. +Pada carta di bawah anda mungkin menemui susunan pertumbuhan algoritma yang paling biasa yang dinyatakan dalam tatatanda Big O. + +![Graf O Besar](./assets/big-o-graph.png) + +Sumber: [Big O Cheat Sheet](http://bigocheatsheet.com/). + +Di bawah ialah senarai beberapa tatatanda Big O yang paling banyak digunakan dan perbandingan prestasinya terhadap saiz data input yang berbeza. + +| Notasi O Besar | Taip | Pengiraan untuk 10 elemen | Pengiraan untuk 100 elemen | Pengiraan untuk 1000 elemen | +| -------------- | ----------- | ---------------------------- | ---------------------------- | ------------------------------- | +| **O(1)** | Malar | 1 | 1 | 1 | +| **O(log N)** | Logaritma | 3 | 6 | 9 | +| **O(N)** | Linear | 10 | 100 | 1000 | +| **O(N log N)** | n log(n) | 30 | 600 | 9000 | +| **O(N^2)** | Kuadratik | 100 | 10000 | 1000000 | +| **O(2^N)** | Eksponen | 1024 | 1.26e+29 | 1.07e+301 | +| **O(N!)** | Faktorial | 3628800 | 9.3e+157 | 4.02e+2567 + +### Kerumitan Operasi Struktur Data + +| Struktur Data | Akses | Cari | Sisipan | Pemadaman | Komen | +| ------------------------ | :-------: | :-------: | :-------: | :-------: | :-------- | +| **Array** | 1 | n | n | n | | +| **Timbunan** | n | n | 1 | 1 | | +| **Beratur** | n | n | 1 | 1 | | +| **Senarai Terpaut** | n | n | 1 | n | | +| **Jadual Hash** | - | n | n | n | Dalam kes kos fungsi cincang yang sempurna ialah O(1) | +| **Pokok Carian Binari** | n | n | n | n | Dalam kes kos pokok seimbang ialah O(log(n)) | +| **B-Tree** | log(n) | log(n) | log(n) | log(n) | | +| **Pokok Merah-Hitam** | log(n) | log(n) | log(n) | log(n) | | +| **Pokok AVL** | log(n) | log(n) | log(n) | log(n) | | +| **Penapis Bloom** | - | 1 | 1 | - | Positif palsu mungkin semasa mencari | + +### Kerumitan Algoritma Pengisihan Tatasusunan + +| Nama | Terbaik | Purata | Paling teruk | Memori | Stabil | Komen | +| ---------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | +| **Isih gelembung** | n | n2 | n2 | 1 | Ya | | +| **Isihan sisipan** | n | n2 | n2 | 1 | Ya | | +| **Isih pilihan** | n2 | n2 | n2 | 1 | Tidak | | +| **Isihan timbunan** | n log(n) | n log(n) | n log(n) | 1 | Tidak | | +| **Isih gabung** | n log(n) | n log(n) | n log(n) | n | Ya | | +| **Isih cepat** | n log(n) | n log(n) | n2 | log(n) | Tidak | Quicksort biasanya dilakukan di tempat dengan ruang tindanan O(log(n)) | +| **Isih cangkerang** | n log(n) | bergantung pada jujukan jurang | n (log(n))2 | 1 | Tidak | | +| **Isih mengira** | n + r | n + r | n + r | n + r | Ya | r - nombor terbesar dalam tatasusunan | +| **Isih Radix** | n * k | n * k | n * k | n + k | Ya | k - panjang kunci terpanjang | + +## Penyokong Projek + +> Anda boleh menyokong projek ini melalui ❤️️ [GitHub](https://github.com/sponsors/trekhleb) atau ❤️️ [Patreon](https://www.patreon.com/trekhleb). + +[Orang yang menyokong projek ini](https://github.com/trekhleb/javascript-algorithms/blob/master/BACKERS.md) `∑ = 0` + +> ℹ️ Beberapa lagi [projek](https://trekhleb.dev/projects/) dan [artikel](https://trekhleb.dev/blog/) tentang JavaScript dan algoritma pada [trekhleb.dev](https:/ /trekhleb.dev) \ No newline at end of file diff --git a/README.md b/README.md index c9c6258769..0392aefb96 100644 --- a/README.md +++ b/README.md @@ -279,7 +279,7 @@ npm test -- 'LinkedList' **Troubleshooting** -In case if linting or testing is failing try to delete the `node_modules` folder and re-install npm packages: +If linting or testing is failing, try to delete the `node_modules` folder and re-install npm packages: ``` rm -rf ./node_modules diff --git a/src/algorithms/graph/breadth-first-search/README.md b/src/algorithms/graph/breadth-first-search/README.md index 32ec3e815c..06073abd8b 100644 --- a/src/algorithms/graph/breadth-first-search/README.md +++ b/src/algorithms/graph/breadth-first-search/README.md @@ -1,7 +1,7 @@ # Breadth-First Search (BFS) -Breadth-first search (BFS) is an algorithm for traversing -or searching tree or graph data structures. It starts at +Breadth-first search (BFS) is an algorithm for traversing, +searching tree, or graph data structures. It starts at the tree root (or some arbitrary node of a graph, sometimes referred to as a 'search key') and explores the neighbor nodes first, before moving to the next level neighbors. From a123b9017d53a54853401b21382828b65c712e71 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 5 Dec 2022 08:06:38 +0100 Subject: [PATCH 089/135] Reverting Malay translation since most of the links are not working --- README.ma-MA.md | 364 ------------------------------------------------ 1 file changed, 364 deletions(-) delete mode 100644 README.ma-MA.md diff --git a/README.ma-MA.md b/README.ma-MA.md deleted file mode 100644 index 0f75b78a12..0000000000 --- a/README.ma-MA.md +++ /dev/null @@ -1,364 +0,0 @@ -# Algoritma JavaScript dan Struktur Data - -> 🇺🇦 UKRAINE [SEDANG DISERANG](https://twitter.com/MFA_Ukraine) OLEH TENTERA RUSIA. ORANG AWAM SEMAKIN DIBUNUH. KAWASAN KEDIAMAN SEMAKIN DIBOM. -> - Bantu Ukraine melalui [Bank Negara Ukraine](https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi) -> - Bantu Ukraine melalui dana [SaveLife](https://savelife.in.ua/en/donate-en/) -> - Maklumat lanjut tentang [war.ukraine.ua](https://war.ukraine.ua/) - -[![CI](https://github.com/trekhleb/javascript-algorithms/workflows/CI/badge.svg)](https://github.com/trekhleb/javascript-algorithms/actions?query=workflow% 3ACI+cawangan%3Amaster) -[![codecov](https://codecov.io/gh/trekhleb/javascript-algorithms/branch/master/graph/badge.svg)](https://codecov.io/gh/trekhleb/javascript-algorithms) - -Repositori ini mengandungi banyak contoh berasaskan JavaScript -algoritma dan struktur data yang popular. - -Setiap algoritma dan struktur data mempunyai README tersendiri -dengan penjelasan dan pautan berkaitan untuk bacaan lanjut (termasuk yang -kepada video YouTube). - -_Baca ini dalam bahasa lain:_ -[_简体中文_](README.zh-CN.md), -[_繁體中文_](README.zh-TW.md), -[_한국어_](README.ko-KR.md), -[_日本語_](README.ja-JP.md), -[_Polski_](README.pl-PL.md), -[_Français_](README.fr-FR.md), -[_Español_](README.es-ES.md), -[_Português_](README.pt-BR.md), -[_Русский_](README.ru-RU.md), -[_Türk_](README.tr-TR.md), -[_Italiana_](README.it-IT.md), -[_Bahasa Indonesia_](README.id-ID.md), -[_Українська_](README.uk-UA.md), -[_Arab_](README.ar-AR.md), -[_Tiếng Việt_](README.vi-VN.md), -[_Deutsch_](README.de-DE.md) - -*☝ Ambil perhatian bahawa projek ini bertujuan untuk digunakan untuk tujuan pembelajaran dan penyelidikan -sahaja, dan ia **tidak** bertujuan untuk digunakan untuk pengeluaran.* - -## Struktur Data - -Struktur data ialah cara tertentu untuk mengatur dan menyimpan data dalam komputer supaya ia boleh -boleh diakses dan diubah suai dengan cekap. Lebih tepat lagi, struktur data ialah himpunan data -nilai, hubungan di antara mereka, dan fungsi atau operasi yang boleh digunakan -data itu. - -`B` - Pemula, `A` - Lanjutan - -* `B` [Senarai Terpaut](src/struktur-data/senarai-terpaut) -* `B` [Senarai Terpaut Berganda](src/struktur-data/senarai-berpaut-dua) -* `B` [Barisan](src/struktur-data/baris gilir) -* `B` [Timbunan](src/struktur-data/tindanan) -* `B` [Jadual Hash](src/struktur-data/jadual cincang) -* `B` [Timbunan](src/struktur-data/timbunan) - versi timbunan maks dan min -* `B` [Baris Keutamaan](src/struktur-data/baris gilir keutamaan) -* `A` [Trie](src/data-structures/trie) -* `A` [Pokok](src/struktur-data/pokok) - * `A` [Pokok Carian Perduaan](src/struktur-data/pokok/pokok-cari-perduaan) - * `A` [AVL Tree](src/data-structures/tree/avl-tree) - * `A` [Pokok Merah-Hitam](src/struktur-data/pokok/pokok-merah-hitam) - * `A` [Pokok Segmen](src/data-structures/tree/segment-tree) - dengan contoh pertanyaan julat min/maks/jumlah - * `A` [Pokok Fenwick](src/struktur-data/pokok/pokok-fenwick) (Pokok Berindeks Perduaan) -* `A` [Graf](src/struktur-data/graf) (kedua-dua terarah dan tidak terarah) -* `A` [Set Terpisah](src/struktur-data/set-terpisah) -* `A` [Bloom Filter](src/data-structures/bloom-filter) - -## Algoritma - -Algoritma ialah spesifikasi yang tidak jelas tentang cara menyelesaikan kelas masalah. Ia adalah -satu set peraturan yang mentakrifkan dengan tepat urutan operasi. - -`B` - Pemula, `A` - Lanjutan - -### Algoritma mengikut Topik - -* **Matematik** - * `B` [Manipulasi Bit](src/algoritma/matematik/bit) - set/dapatkan/kemas kini/kosongkan bit, darab/bahagi dengan dua, jadikan negatif dsb. - * `B` [Titik Terapung Perduaan](src/algoritma/matematik/titik terapung binari) - perwakilan binari nombor titik terapung. - * `B` [Factorial](src/algoritma/matematik/faktorial) - * `B` [Nombor Fibonacci](src/algoritma/matematik/fibonacci) - versi klasik dan bentuk tertutup - * `B` [Faktor Perdana](src/algoritma/matematik/faktor-prima) - mencari faktor perdana dan mengiranya menggunakan teorem Hardy-Ramanujan - * `B` [Ujian Primaliti](src/algoritma/matematik/ujian-primaliti) (kaedah pembahagian percubaan) - * `B` [Algoritma Euclidean](src/algorithm/math/euclidean-algorithm) - kira Pembahagi Sepunya Terhebat (GCD) - * `B` [Garab Sepunya Terkecil](src/algoritma/matematik/bilangan-paling-biasa) (LCM) - * `B` [Ayak Eratosthenes](src/algoritma/matematik/ayak-eratosthenes) - mencari semua nombor perdana sehingga mana-mana had tertentu - * `B` [Adalah Kuasa Dua](src/algoritma/math/is-power-of-two) - semak sama ada nombor itu kuasa dua (algoritma naif dan bitwise) - * `B` [Segitiga Pascal](src/algoritma/matematik/segitiga-pascal) - * `B` [Nombor Kompleks](src/algoritma/matematik/nombor-kompleks) - nombor kompleks dan operasi asas dengannya - * `B` [Radian & Darjah](src/algoritma/matematik/radian) - penukaran radian kepada darjah dan ke belakang - * `B` [Fast Powering](src/algorithm/math/fast-powering) - * `B` [Kaedah Horner](src/algoritma/matematik/kaedah-horner) - penilaian polinomial - * `B` [Matriks](src/algoritma/matematik/matriks) - matriks dan operasi matriks asas (pendaraban, transposisi, dsb.) - * `B` [Jarak Euclidean](src/algoritma/matematik/jarak-euclidean) - jarak antara dua titik/vektor/matriks - * `A` [Pembahagian Integer](src/algoritma/matematik/integer-partition) - * `A` [Akar Kuasa Dua](src/algoritma/matematik/akar-kuadrat) - Kaedah Newton - * `A` [Algoritma Liu Hui π](src/algoritma/math/liu-hui) - anggaran π pengiraan berdasarkan N-gons - * `A` [Transformasi Fourier Diskret](src/algoritma/matematik/fourier-transform) - menguraikan fungsi masa (suatu isyarat) kepada frekuensi yang membentuknya -* **Set** - * `B` [Produk Cartesian](src/algoritma/set/produk cartesian) - hasil daripada berbilang set - * `B` [Fisher–Yates Shuffle](src/algoritma/sets/fisher-yates) - pilih atur rawak bagi urutan terhingga - * `A` [Set Kuasa](src/algoritma/set/set-kuasa) - semua subset set (penyelesaian bitwise dan backtracking) - * `A` [Permutasi](src/algoritma/set/permutasi) (dengan dan tanpa ulangan) - * `A` [Gabungan](src/algoritma/set/gabungan) (dengan dan tanpa ulangan) - * `A` [Turutan Sepunya Terpanjang](src/algoritma/set/susulan-biasa-terpanjang) (LCS) - * `A` [Surutan Bertambah Terpanjang](src/algoritma/set/susulan-bertambah-panjang) - * `A` [Jurutan Sepunya Terpendek](src/algoritma/set/jujukan-sepunya-terpendek) (SCS) - * `A` [Masalah Knapsack](src/algorithms/sets/knapsack-problem) - "0/1" dan "Unbound" - * `A` [Maximum Subarray](src/algorithm/sets/maximum-subarray) - versi "Brute Force" dan "Dynamic Programming" (Kadane's) - * `A` [Jumlah Gabungan](src/algoritma/set/jumlah-gabungan) - cari semua gabungan yang membentuk jumlah tertentu -* **Rentetan** - * `B` [Jarak Hamming](src/algoritma/rentetan/jarak hamming) - bilangan kedudukan di mana simbol berbeza - * `B` [Palindrome](src/algorithm/string/palindrome) - semak sama ada rentetan adalah sama secara terbalik - * `A` [Jarak Levenshtein](src/algoritma/rentetan/levenshtein-jarak) - jarak edit minimum antara dua jujukan - * `A` [Algoritma Knuth–Morris–Pratt](src/algorithm/string/knuth-morris-pratt) (Algoritma KMP) - carian subrentetan (padanan corak) - * `A` [Z Algoritma](src/algorithm/string/z-algorithm) - carian subrentetan (padanan corak) - * `A` [Algoritma Rabin Karp](src/algorithm/string/rabin-karp) - carian subrentetan - * `A` [Subrentetan Biasa Terpanjang](src/algoritma/rentetan/subrentetan-biasa-terpanjang) - * `A` [Padanan Ungkapan Biasa](src/algoritma/rentetan/padanan-ungkapan-biasa) - * **Carian** - * `B` [Carian Linear](src/algorithm/search/linear-search) - * `B` [Cari Lompat](src/algorithm/search/jump-search) (atau Carian Sekat) - cari dalam tatasusunan yang diisih - * `B` [Carian Binari](src/algorithm/search/binary-search) - cari dalam tatasusunan yang diisih - * `B` [Carian Interpolasi](src/algoritma/search/interpolation-search) - cari dalam tatasusunan tersusun yang diedarkan secara seragam -* **Menyusun** - * `B` [Isih Buih](src/algoritma/isih/isih-buih) - * `B` [Isih Pilihan](src/algoritma/isih/isih-pilihan) - * `B` [Isih Sisipan](src/algoritma/isih/isihan-sisipan) - * `B` [Isih Timbunan](src/algoritma/isih/isih-timbun) - * `B` [Isih Gabung](src/algoritma/isih/isih-gabung) - * `B` [Quicksort](src/algorithm/sorting/quick-sort) - pelaksanaan di tempat dan bukan di tempat - * `B` [Shellsort](src/algoritm/sorting/shell-sort) - * `B` [Isih Mengira](src/algoritma/isihan/isihan-kira) - * `B` [Isih Radix](src/algoritma/isih/isih-radix) -* **Senarai Terpaut** - * `B` [Straight Traversal](src/algorithm/linked-list/traversal) - * `B` [Reverse Traversal](src/algorithm/linked-list/reverse-traversal) -* **Pokok** - * `B` [Depth-First Search](src/algorithm/tree/depth-first-search) (DFS) - * `B` [Breadth-First-search](src/algorithm/tree/breadth-first-search) (BFS) -* **Graf** - * `B` [Depth-First Search](src/algorithm/graph/depth-first-search) (DFS) - * `B` [Breadth-First Search](src/algorithm/graph/breadth-first-search) (BFS) - * `B` [Algoritma Kruskal](src/algoritma/graf/kruskal) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran - * `A` [Algoritma Dijkstra](src/algorithm/graph/dijkstra) - mencari laluan terpendek ke semua bucu graf dari bucu tunggal - * `A` [Algoritma Bellman-Ford](src/algoritma/graf/bellman-ford) - mencari laluan terpendek ke semua bucu graf daripada bucu tunggal - * `A` [Algoritma Floyd-Warshall](src/algorithm/graph/floyd-warshall) - cari laluan terpendek antara semua pasangan bucu - * `A` [Detect Cycle](src/algorithm/graph/detect-cycle) - untuk kedua-dua graf terarah dan tidak terarah (versi berasaskan DFS dan Disjoint Set) - * `A` [Algoritma Prim](src/algoritma/graf/prim) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran - * `A` [Isih Topologi](src/algoritma/graf/isihan-topologi) - Kaedah DFS - * `A` [Mata Artikulasi](src/algoritma/graf/titik-artikulasi) - Algoritma Tarjan (berasaskan DFS) - * `A` [Bridges](src/algorithm/graph/bridges) - algoritma berasaskan DFS - * `A` [Eulerian Path and Eulerian Circuit](src/algorithm/graph/eulerian-path) - Algoritma Fleury - Lawati setiap tepi tepat sekali - * `A` [Kitaran Hamiltonian](src/algoritma/graf/kitaran-hamilton) - Lawati setiap bucu tepat sekali - * `A` [Komponen Bersambung Kuat](src/algoritma/graf/komponen-kuat-bersambung) - Algoritma Kosaraju - * `A` [Masalah Jurujual Perjalanan](src/algoritma/graf/jurujual-perjalanan) - laluan terpendek mungkin yang melawati setiap bandar dan kembali ke bandar asal -* **Kriptografi** - * `B` [Cincangan Polinomial](src/algoritma/kriptografi/cincang polinomial) - fungsi cincang bergolek berdasarkan polinomial - * `B` [Sifir Pagar Rel](src/algoritma/kriptografi/sifir-pagar-rel) - algoritma sifir transposisi untuk pengekodan mesej - * `B` [Caesar Cipher](src/algoritma/kriptografi/caesar-cipher) - sifir penggantian mudah - * `B` [Sifir Bukit](src/algoritma/kriptografi/sifir bukit) - sifir penggantian berdasarkan algebra linear -* **Pembelajaran Mesin** - * `B` [NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 fungsi JS mudah yang menggambarkan bagaimana mesin sebenarnya boleh belajar (perambatan ke hadapan/belakang) - * `B` [k-NN](src/algoritma/ml/knn) - algoritma klasifikasi jiran terdekat k - * `B` [k-Means](src/algorithm/ml/k-means) - algoritma pengelompokan k-Means -* **Pemprosesan imej** - * `B` [Ukiran Jahitan](src/algoritma/pemprosesan-imej/ukiran-jahitan) - algoritma saiz semula imej sedar kandungan -* **Statistik** - * `B` [Rawak Berwajaran](src/algoritma/statistik/rawak-wajaran) - pilih item rawak daripada senarai berdasarkan berat item -* **Algoritma evolusi** - * `A` [Algoritma genetik](https://github.com/trekhleb/self-parking-car-evolution) - contoh cara algoritma genetik boleh digunakan untuk melatih kereta letak sendiri - * **Tidak dikategorikan** - * `B` [Menara Hanoi](src/algoritma/tidak dikategorikan/menara-hanoi) - * `B` [Putaran Matriks Persegi](src/algoritma/tidak dikategorikan/putaran-matriks-persegi) - algoritma di tempat - * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) - menjejak ke belakang, pengaturcaraan dinamik (atas ke bawah + bawah ke atas) dan contoh tamak - * `B` [Laluan Unik](src/algorithms/uncategorized/unique-paths) - penjejakan ke belakang, pengaturcaraan dinamik dan contoh berasaskan Segitiga Pascal - * `B` [Teres Hujan](src/algoritma/tidak dikategorikan/teres hujan) - memerangkap masalah air hujan (versi pengaturcaraan dinamik dan kekerasan) - * `B` [Tangga Rekursif](src/algoritma/tidak dikategorikan/tangga rekursif) - kira bilangan cara untuk sampai ke atas (4 penyelesaian) - * `B` [Masa Terbaik Untuk Membeli Saham Jual](src/algoritma/tidak dikategorikan/masa-terbaik-untuk-membeli-menjual-saham) - bahagikan dan takluk serta contoh satu laluan - * `A` [Masalah N-Queens](src/algoritma/uncategorized/n-queens) - * `A` [Lawatan Kesatria](src/algoritma/tidak dikategorikan/jelajah kesatria) - -### Algoritma mengikut Paradigma - -Paradigma algoritma ialah kaedah atau pendekatan generik yang mendasari reka bentuk kelas -daripada algoritma. Ia adalah abstraksi yang lebih tinggi daripada tanggapan algoritma, sama seperti an -algoritma adalah abstraksi yang lebih tinggi daripada program komputer. - -* **Brute Force** - lihat semua kemungkinan dan pilih penyelesaian terbaik - * `B` [Carian Linear](src/algorithm/search/linear-search) - * `B` [Rain Terraces](src/algoritma/uncategorized/rain-teres) - memerangkap masalah air hujan - * `B` [Tangga Rekursif](src/algoritma/tak berkategori/tangga rekursif) - kira bilangan cara untuk sampai ke atas - * `A` [Subarray Maksimum](src/algoritma/set/subarray maksimum) - * `A` [Masalah Jurujual Perjalanan](src/algoritma/graf/jurujual-perjalanan) - laluan terpendek mungkin yang melawati setiap bandar dan kembali ke bandar asal - * `A` [Transformasi Fourier Diskret](src/algoritma/matematik/fourier-transform) - menguraikan fungsi masa (suatu isyarat) kepada frekuensi yang membentuknya -* **Rakus** - pilih pilihan terbaik pada masa semasa, tanpa sebarang pertimbangan untuk masa hadapan -* `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) - * `A` [Masalah Knapsack Tidak Terikat](src/algoritma/set/masalah-knapsack) - * `A` [Algoritma Dijkstra](src/algoritma/graf/dijkstra) - mencari laluan terpendek ke semua bucu graf - * `A` [Algoritma Prim](src/algoritma/graf/prim) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran - * `A` [Algoritma Kruskal](src/algoritma/graf/kruskal) - mencari Pokok Spanning Minimum (MST) untuk graf tidak berwajaran -* **Divide and Conquer** - bahagikan masalah kepada bahagian yang lebih kecil dan kemudian selesaikan bahagian tersebut - * `B` [Carian Perduaan](src/algoritma/carian/pencarian-perduaan) - * `B` [Menara Hanoi](src/algoritma/tidak dikategorikan/menara-hanoi) - * `B` [Segitiga Pascal](src/algoritma/matematik/segitiga-pascal) - * `B` [Algoritma Euclidean](src/algorithm/math/euclidean-algorithm) - kira Pembahagi Sepunya Terhebat (GCD) - * `B` [Isih Gabung](src/algoritma/isih/isih-gabung) - * `B` [Isih Pantas](src/algoritma/isih/isih-pantas) - * `B` [Carian Kedalaman-Pertama Pokok](src/algoritma/pokok/carian-pertama-dalam) (DFS) - * `B` [Graph Depth-First Search](src/algorithm/graph/depth-first-search) (DFS) - * `B` [Matriks](src/algoritma/matematik/matriks) - menjana dan melintasi matriks pelbagai bentuk - * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) - * `B` [Fast Powering](src/algorithm/math/fast-powering) - * `B` [Masa Terbaik Untuk Membeli Saham Jual](src/algoritma/tidak dikategorikan/masa-terbaik-untuk-membeli-menjual-saham) - bahagikan dan takluk serta contoh satu laluan - * `A` [Permutasi](src/algoritma/set/permutasi) (dengan dan tanpa ulangan) - * `A` [Gabungan](src/algoritma/set/gabungan) (dengan dan tanpa ulangan) - * `A` [Subarray Maksimum](src/algoritma/set/subarray maksimum) -* **Pengaturcaraan Dinamik** - bina penyelesaian menggunakan sub-penyelesaian yang ditemui sebelum ini - * `B` [Nombor Fibonacci](src/algoritma/matematik/fibonacci) - * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) - * `B` [Laluan Unik](src/algoritma/tidak dikategorikan/laluan-unik) - * `B` [Rain Terraces](src/algoritma/uncategorized/rain-teres) - memerangkap masalah air hujan - - * `B` [Tangga Rekursif](src/algoritma/tak berkategori/tangga rekursif) - kira bilangan cara untuk sampai ke atas - * `B` [Ukiran Jahitan](src/algoritma/pemprosesan-imej/ukiran-jahitan) - algoritma saiz semula imej sedar kandungan - * `A` [Jarak Levenshtein](src/algoritma/rentetan/levenshtein-jarak) - jarak edit minimum antara dua jujukan - * `A` [Turutan Sepunya Terpanjang](src/algoritma/set/susulan-biasa-terpanjang) (LCS) - * `A` [Subrentetan Biasa Terpanjang](src/algoritma/rentetan/subrentetan-biasa-terpanjang) - * `A` [Surutan Bertambah Terpanjang](src/algoritma/set/susulan-bertambah-panjang) - * `A` [Jujukan Sepunya Terpendek](src/algoritma/set/jujukan-sepunya-terpendek) - * `A` [0/1 Masalah Knapsack](src/algoritma/set/knapsack-problem) - * `A` [Pembahagian Integer](src/algoritma/matematik/integer-partition) - * `A` [Subarray Maksimum](src/algoritma/set/subarray maksimum) - * `A` [Algoritma Bellman-Ford](src/algorithm/graph/bellman-ford) - mencari laluan terpendek ke semua bucu graf - * `A` [Algoritma Floyd-Warshall](src/algorithm/graph/floyd-warshall) - cari laluan terpendek antara semua pasangan bucu - * `A` [Padanan Ungkapan Biasa](src/algoritma/rentetan/padanan-ungkapan-biasa) -* **Penjejakan Belakang** - sama seperti kekerasan, cuba jana semua penyelesaian yang mungkin, tetapi setiap kali anda menjana penyelesaian seterusnya anda menguji -jika ia memenuhi semua syarat, dan hanya kemudian terus menjana penyelesaian seterusnya. Jika tidak, mundur, dan teruskan a -jalan yang berbeza untuk mencari penyelesaian. Biasanya traversal DFS bagi ruang keadaan sedang digunakan. - * `B` [Permainan Lompat](src/algoritma/tidak dikategorikan/permainan lompat) - * `B` [Laluan Unik](src/algoritma/tidak dikategorikan/laluan-unik) - * `B` [Set Kuasa](src/algoritma/set/set-kuasa) - semua subset set - * `A` [Kitaran Hamiltonian](src/algoritma/graf/kitaran-hamilton) - Lawati setiap bucu tepat sekali - * `A` [Masalah N-Queens](src/algoritma/uncategorized/n-queens) - * `A` [Lawatan Kesatria](src/algoritma/tidak dikategorikan/jelajah kesatria) - * `A` [Jumlah Gabungan](src/algoritma/set/jumlah-gabungan) - cari semua gabungan yang membentuk jumlah tertentu - - * **Branch & Bound** - ingat penyelesaian kos terendah yang terdapat pada setiap peringkat penjejakan ke belakang -cari, dan gunakan kos penyelesaian kos terendah yang ditemui setakat ini sebagai had yang lebih rendah pada kos -penyelesaian kos termurah untuk masalah, untuk membuang penyelesaian separa dengan kos lebih besar daripada -penyelesaian kos terendah ditemui setakat ini. Biasanya traversal BFS digabungkan dengan traversal DFS of state-space -pokok sedang digunakan. - -## Cara menggunakan repositori ini - -**Pasang semua kebergantungan** - -``` -pemasangan npm -``` - -**Jalankan ESLint** - -Anda mungkin mahu menjalankannya untuk menyemak kualiti kod. - -``` -npm run lint -``` - -**Jalankan semua ujian** - -``` -ujian npm -``` - -**Jalankan ujian mengikut nama** - -``` -ujian npm -- 'LinkedList' -``` - -**Penyelesaian masalah** - -Jika linting atau ujian gagal, cuba padamkan folder `node_modules` dan pasang semula pakej npm: - -``` -rm -rf ./node_modules -npm i -``` - -Juga pastikan anda menggunakan versi Nod yang betul (`>=14.16.0`). Jika anda menggunakan [nvm](https://github.com/nvm-sh/nvm) untuk pengurusan versi Nod, anda boleh menjalankan `nvm use` daripada folder akar projek dan versi yang betul akan diambil. - -**Taman permainan** - -Anda boleh bermain dengan struktur data dan algoritma dalam fail `./src/playground/playground.js` dan tulis -mengujinya dalam `./src/playground/__test__/playground.test.js`. - -Kemudian hanya jalankan arahan berikut untuk menguji sama ada kod taman permainan anda berfungsi seperti yang diharapkan: - -``` -ujian npm -- 'taman permainan' -``` - -## Informasi berguna - -### Rujukan - -[▶ Struktur Data dan Algoritma di YouTube](https://www.youtube.com/playlist?list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8) - -### Notasi O Besar - -*Notasi O Besar* digunakan untuk mengklasifikasikan algoritma mengikut cara masa berjalan atau keperluan ruang mereka berkembang apabila saiz input bertambah. -Pada carta di bawah anda mungkin menemui susunan pertumbuhan algoritma yang paling biasa yang dinyatakan dalam tatatanda Big O. - -![Graf O Besar](./assets/big-o-graph.png) - -Sumber: [Big O Cheat Sheet](http://bigocheatsheet.com/). - -Di bawah ialah senarai beberapa tatatanda Big O yang paling banyak digunakan dan perbandingan prestasinya terhadap saiz data input yang berbeza. - -| Notasi O Besar | Taip | Pengiraan untuk 10 elemen | Pengiraan untuk 100 elemen | Pengiraan untuk 1000 elemen | -| -------------- | ----------- | ---------------------------- | ---------------------------- | ------------------------------- | -| **O(1)** | Malar | 1 | 1 | 1 | -| **O(log N)** | Logaritma | 3 | 6 | 9 | -| **O(N)** | Linear | 10 | 100 | 1000 | -| **O(N log N)** | n log(n) | 30 | 600 | 9000 | -| **O(N^2)** | Kuadratik | 100 | 10000 | 1000000 | -| **O(2^N)** | Eksponen | 1024 | 1.26e+29 | 1.07e+301 | -| **O(N!)** | Faktorial | 3628800 | 9.3e+157 | 4.02e+2567 - -### Kerumitan Operasi Struktur Data - -| Struktur Data | Akses | Cari | Sisipan | Pemadaman | Komen | -| ------------------------ | :-------: | :-------: | :-------: | :-------: | :-------- | -| **Array** | 1 | n | n | n | | -| **Timbunan** | n | n | 1 | 1 | | -| **Beratur** | n | n | 1 | 1 | | -| **Senarai Terpaut** | n | n | 1 | n | | -| **Jadual Hash** | - | n | n | n | Dalam kes kos fungsi cincang yang sempurna ialah O(1) | -| **Pokok Carian Binari** | n | n | n | n | Dalam kes kos pokok seimbang ialah O(log(n)) | -| **B-Tree** | log(n) | log(n) | log(n) | log(n) | | -| **Pokok Merah-Hitam** | log(n) | log(n) | log(n) | log(n) | | -| **Pokok AVL** | log(n) | log(n) | log(n) | log(n) | | -| **Penapis Bloom** | - | 1 | 1 | - | Positif palsu mungkin semasa mencari | - -### Kerumitan Algoritma Pengisihan Tatasusunan - -| Nama | Terbaik | Purata | Paling teruk | Memori | Stabil | Komen | -| ---------------------- | :-------------: | :-----------------: | :-----------------: | :-------: | :-------: | :-------- | -| **Isih gelembung** | n | n2 | n2 | 1 | Ya | | -| **Isihan sisipan** | n | n2 | n2 | 1 | Ya | | -| **Isih pilihan** | n2 | n2 | n2 | 1 | Tidak | | -| **Isihan timbunan** | n log(n) | n log(n) | n log(n) | 1 | Tidak | | -| **Isih gabung** | n log(n) | n log(n) | n log(n) | n | Ya | | -| **Isih cepat** | n log(n) | n log(n) | n2 | log(n) | Tidak | Quicksort biasanya dilakukan di tempat dengan ruang tindanan O(log(n)) | -| **Isih cangkerang** | n log(n) | bergantung pada jujukan jurang | n (log(n))2 | 1 | Tidak | | -| **Isih mengira** | n + r | n + r | n + r | n + r | Ya | r - nombor terbesar dalam tatasusunan | -| **Isih Radix** | n * k | n * k | n * k | n + k | Ya | k - panjang kunci terpanjang | - -## Penyokong Projek - -> Anda boleh menyokong projek ini melalui ❤️️ [GitHub](https://github.com/sponsors/trekhleb) atau ❤️️ [Patreon](https://www.patreon.com/trekhleb). - -[Orang yang menyokong projek ini](https://github.com/trekhleb/javascript-algorithms/blob/master/BACKERS.md) `∑ = 0` - -> ℹ️ Beberapa lagi [projek](https://trekhleb.dev/projects/) dan [artikel](https://trekhleb.dev/blog/) tentang JavaScript dan algoritma pada [trekhleb.dev](https:/ /trekhleb.dev) \ No newline at end of file From 65e4a7c8b35914e70bfc2b7cbc58c5a9f654db53 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 6 Jan 2023 14:37:36 +0100 Subject: [PATCH 090/135] Adding a simple cascading solution to generate a Power Set (#975) * Add a simple cascading version of generating a PowerSet. * Update README. * Update README. * Update README. --- README.md | 2 +- src/algorithms/sets/power-set/README.md | 60 +++++++++++++++---- .../power-set/__test__/caPowerSet.test.js | 28 +++++++++ src/algorithms/sets/power-set/caPowerSet.js | 37 ++++++++++++ 4 files changed, 115 insertions(+), 12 deletions(-) create mode 100644 src/algorithms/sets/power-set/__test__/caPowerSet.test.js create mode 100644 src/algorithms/sets/power-set/caPowerSet.js diff --git a/README.md b/README.md index 0392aefb96..8836940696 100644 --- a/README.md +++ b/README.md @@ -99,7 +99,7 @@ a set of rules that precisely define a sequence of operations. * **Sets** * `B` [Cartesian Product](src/algorithms/sets/cartesian-product) - product of multiple sets * `B` [Fisher–Yates Shuffle](src/algorithms/sets/fisher-yates) - random permutation of a finite sequence - * `A` [Power Set](src/algorithms/sets/power-set) - all subsets of a set (bitwise and backtracking solutions) + * `A` [Power Set](src/algorithms/sets/power-set) - all subsets of a set (bitwise, backtracking, and cascading solutions) * `A` [Permutations](src/algorithms/sets/permutations) (with and without repetitions) * `A` [Combinations](src/algorithms/sets/combinations) (with and without repetitions) * `A` [Longest Common Subsequence](src/algorithms/sets/longest-common-subsequence) (LCS) diff --git a/src/algorithms/sets/power-set/README.md b/src/algorithms/sets/power-set/README.md index cfe791aeb2..e96961dd8f 100644 --- a/src/algorithms/sets/power-set/README.md +++ b/src/algorithms/sets/power-set/README.md @@ -1,7 +1,7 @@ # Power Set Power set of a set `S` is the set of all of the subsets of `S`, including the -empty set and `S` itself. Power set of set `S` is denoted as `P(S)`. +empty set and `S` itself. Power set of set `S` is denoted as `P(S)`. For example for `{x, y, z}`, the subsets are: @@ -21,37 +21,37 @@ are: ![Power Set](https://www.mathsisfun.com/sets/images/power-set.svg) -Here is how we may illustrate the elements of the power set of the set `{x, y, z}` ordered with respect to +Here is how we may illustrate the elements of the power set of the set `{x, y, z}` ordered with respect to inclusion: ![](https://upload.wikimedia.org/wikipedia/commons/e/ea/Hasse_diagram_of_powerset_of_3.svg) **Number of Subsets** -If `S` is a finite set with `|S| = n` elements, then the number of subsets -of `S` is `|P(S)| = 2^n`. This fact, which is the motivation for the +If `S` is a finite set with `|S| = n` elements, then the number of subsets +of `S` is `|P(S)| = 2^n`. This fact, which is the motivation for the notation `2^S`, may be demonstrated simply as follows: -> First, order the elements of `S` in any manner. We write any subset of `S` in -the format `{γ1, γ2, ..., γn}` where `γi , 1 ≤ i ≤ n`, can take the value +> First, order the elements of `S` in any manner. We write any subset of `S` in +the format `{γ1, γ2, ..., γn}` where `γi , 1 ≤ i ≤ n`, can take the value of `0` or `1`. If `γi = 1`, the `i`-th element of `S` is in the subset; -otherwise, the `i`-th element is not in the subset. Clearly the number of +otherwise, the `i`-th element is not in the subset. Clearly the number of distinct subsets that can be constructed this way is `2^n` as `γi ∈ {0, 1}`. ## Algorithms ### Bitwise Solution -Each number in binary representation in a range from `0` to `2^n` does exactly -what we need: it shows by its bits (`0` or `1`) whether to include related -element from the set or not. For example, for the set `{1, 2, 3}` the binary +Each number in binary representation in a range from `0` to `2^n` does exactly +what we need: it shows by its bits (`0` or `1`) whether to include related +element from the set or not. For example, for the set `{1, 2, 3}` the binary number of `0b010` would mean that we need to include only `2` to the current set. | | `abc` | Subset | | :---: | :---: | :-----------: | | `0` | `000` | `{}` | | `1` | `001` | `{c}` | -| `2` | `010` | `{b}` | +| `2` | `010` | `{b}` | | `3` | `011` | `{c, b}` | | `4` | `100` | `{a}` | | `5` | `101` | `{a, c}` | @@ -68,6 +68,44 @@ element. > See [btPowerSet.js](./btPowerSet.js) file for backtracking solution. +### Cascading Solution + +This is, arguably, the simplest solution to generate a Power Set. + +We start with an empty set: + +```text +powerSets = [[]] +``` + +Now, let's say: + +```text +originalSet = [1, 2, 3] +``` + +Let's add the 1st element from the originalSet to all existing sets: + +```text +[[]] ← 1 = [[], [1]] +``` + +Adding the 2nd element to all existing sets: + +```text +[[], [1]] ← 2 = [[], [1], [2], [1, 2]] +``` + +Adding the 3nd element to all existing sets: + +``` +[[], [1], [2], [1, 2]] ← 3 = [[], [1], [2], [1, 2], [3], [1, 3], [2, 3], [1, 2, 3]] +``` + +And so on, for the rest of the elements from the `originalSet`. On every iteration the number of sets is doubled, so we'll get `2^n` sets. + +> See [caPowerSet.js](./caPowerSet.js) file for cascading solution. + ## References * [Wikipedia](https://en.wikipedia.org/wiki/Power_set) diff --git a/src/algorithms/sets/power-set/__test__/caPowerSet.test.js b/src/algorithms/sets/power-set/__test__/caPowerSet.test.js new file mode 100644 index 0000000000..4fad5efe20 --- /dev/null +++ b/src/algorithms/sets/power-set/__test__/caPowerSet.test.js @@ -0,0 +1,28 @@ +import caPowerSet from '../caPowerSet'; + +describe('caPowerSet', () => { + it('should calculate power set of given set using cascading approach', () => { + expect(caPowerSet([1])).toEqual([ + [], + [1], + ]); + + expect(caPowerSet([1, 2])).toEqual([ + [], + [1], + [2], + [1, 2], + ]); + + expect(caPowerSet([1, 2, 3])).toEqual([ + [], + [1], + [2], + [1, 2], + [3], + [1, 3], + [2, 3], + [1, 2, 3], + ]); + }); +}); diff --git a/src/algorithms/sets/power-set/caPowerSet.js b/src/algorithms/sets/power-set/caPowerSet.js new file mode 100644 index 0000000000..45b9eb6169 --- /dev/null +++ b/src/algorithms/sets/power-set/caPowerSet.js @@ -0,0 +1,37 @@ +/** + * Find power-set of a set using CASCADING approach. + * + * @param {*[]} originalSet + * @return {*[][]} + */ +export default function caPowerSet(originalSet) { + // Let's start with an empty set. + const sets = [[]]; + + /* + Now, let's say: + originalSet = [1, 2, 3]. + + Let's add the first element from the originalSet to all existing sets: + [[]] ← 1 = [[], [1]] + + Adding the 2nd element to all existing sets: + [[], [1]] ← 2 = [[], [1], [2], [1, 2]] + + Adding the 3nd element to all existing sets: + [[], [1], [2], [1, 2]] ← 3 = [[], [1], [2], [1, 2], [3], [1, 3], [2, 3], [1, 2, 3]] + + And so on for the rest of the elements from originalSet. + On every iteration the number of sets is doubled, so we'll get 2^n sets. + */ + for (let numIdx = 0; numIdx < originalSet.length; numIdx += 1) { + const existingSetsNum = sets.length; + + for (let setIdx = 0; setIdx < existingSetsNum; setIdx += 1) { + const set = [...sets[setIdx], originalSet[numIdx]]; + sets.push(set); + } + } + + return sets; +} From 6c335c5d833fd2a68342cf3648a3174bed8c01ad Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 6 Jan 2023 14:45:04 +0100 Subject: [PATCH 091/135] Fixing the broken link for QuickSort --- src/algorithms/sorting/quick-sort/QuickSortInPlace.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/algorithms/sorting/quick-sort/QuickSortInPlace.js b/src/algorithms/sorting/quick-sort/QuickSortInPlace.js index cc1f5e5068..d02298b230 100644 --- a/src/algorithms/sorting/quick-sort/QuickSortInPlace.js +++ b/src/algorithms/sorting/quick-sort/QuickSortInPlace.js @@ -4,7 +4,7 @@ export default class QuickSortInPlace extends Sort { /** Sorting in place avoids unnecessary use of additional memory, but modifies input array. * * This process is difficult to describe, but much clearer with a visualization: - * @see: http://www.algomation.com/algorithm/quick-sort-visualization + * @see: https://www.hackerearth.com/practice/algorithms/sorting/quick-sort/visualize/ * * @param {*[]} originalArray - Not sorted array. * @param {number} inputLowIndex From e4f2ccdbece78d44d3f4bd908c828408b1c0c791 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 23 Jan 2023 18:03:40 +0100 Subject: [PATCH 092/135] Add an example of the LRU (Least Recently Used) Cache implementation (#980) * Add an example of the LRU Cache implementation. * Promote the node on set() as well. * Add LRU Cache images. --- README.md | 1 + src/data-structures/lru-cache/LRUCache.js | 134 ++++++++++++++++ .../lru-cache/LinkedListNode.js | 17 ++ src/data-structures/lru-cache/README.md | 37 +++++ .../lru-cache/__test__/LRUCache.test.js | 150 ++++++++++++++++++ .../lru-cache/images/lru-cache.jpg | Bin 0 -> 677600 bytes 6 files changed, 339 insertions(+) create mode 100644 src/data-structures/lru-cache/LRUCache.js create mode 100644 src/data-structures/lru-cache/LinkedListNode.js create mode 100644 src/data-structures/lru-cache/README.md create mode 100644 src/data-structures/lru-cache/__test__/LRUCache.test.js create mode 100644 src/data-structures/lru-cache/images/lru-cache.jpg diff --git a/README.md b/README.md index 8836940696..2c83a70b71 100644 --- a/README.md +++ b/README.md @@ -64,6 +64,7 @@ the data. * `A` [Graph](src/data-structures/graph) (both directed and undirected) * `A` [Disjoint Set](src/data-structures/disjoint-set) * `A` [Bloom Filter](src/data-structures/bloom-filter) +* `A` [LRU Cache](src/data-structures/lru-cache/) - Least Recently Used (LRU) cache ## Algorithms diff --git a/src/data-structures/lru-cache/LRUCache.js b/src/data-structures/lru-cache/LRUCache.js new file mode 100644 index 0000000000..dc27d1b4b0 --- /dev/null +++ b/src/data-structures/lru-cache/LRUCache.js @@ -0,0 +1,134 @@ +/* eslint-disable no-param-reassign */ +import LinkedListNode from './LinkedListNode'; + +/** + * Implementation of the LRU (Least Recently Used) Cache + * based on the HashMap and Doubly Linked List data-structures. + * + * Current implementation allows to have fast (O(1)) read and write operations. + * + * At any moment in time the LRU Cache holds not more that "capacity" number of items in it. + */ +class LRUCache { + /** + * Creates a cache instance of a specific capacity. + * @param {number} capacity + */ + constructor(capacity) { + this.capacity = capacity; // How many items to store in cache at max. + this.nodesMap = {}; // The quick links to each linked list node in cache. + this.size = 0; // The number of items that is currently stored in the cache. + this.head = new LinkedListNode(); // The Head (first) linked list node. + this.tail = new LinkedListNode(); // The Tail (last) linked list node. + } + + /** + * Returns the cached value by its key. + * Time complexity: O(1). + * @param {string} key + * @returns {any} + */ + get(key) { + if (this.nodesMap[key] === undefined) return undefined; + const node = this.nodesMap[key]; + this.promote(node); + return node.val; + } + + /** + * Sets the value to cache by its key. + * Time complexity: O(1). + * @param {string} key + * @param {any} val + */ + set(key, val) { + if (this.nodesMap[key]) { + const node = this.nodesMap[key]; + node.val = val; + this.promote(node); + } else { + const node = new LinkedListNode(key, val); + this.append(node); + } + } + + /** + * Promotes the node to the end of the linked list. + * It means that the node is most frequently used. + * It also reduces the chance for such node to get evicted from cache. + * @param {LinkedListNode} node + */ + promote(node) { + this.evict(node); + this.append(node); + } + + /** + * Appends a new node to the end of the cache linked list. + * @param {LinkedListNode} node + */ + append(node) { + this.nodesMap[node.key] = node; + + if (!this.head.next) { + // First node to append. + this.head.next = node; + this.tail.prev = node; + node.prev = this.head; + node.next = this.tail; + } else { + // Append to an existing tail. + const oldTail = this.tail.prev; + oldTail.next = node; + node.prev = oldTail; + node.next = this.tail; + this.tail.prev = node; + } + + this.size += 1; + + if (this.size > this.capacity) { + this.evict(this.head.next); + } + } + + /** + * Evicts (removes) the node from cache linked list. + * @param {LinkedListNode} node + */ + evict(node) { + delete this.nodesMap[node.key]; + this.size -= 1; + + const prevNode = node.prev; + const nextNode = node.next; + + // If one and only node. + if (prevNode === this.head && nextNode === this.tail) { + this.head.next = null; + this.tail.prev = null; + this.size = 0; + return; + } + + // If this is a Head node. + if (prevNode === this.head) { + nextNode.prev = this.head; + this.head.next = nextNode; + return; + } + + // If this is a Tail node. + if (nextNode === this.tail) { + prevNode.next = this.tail; + this.tail.prev = prevNode; + return; + } + + // If the node is in the middle. + prevNode.next = nextNode; + nextNode.prev = prevNode; + } +} + +export default LRUCache; diff --git a/src/data-structures/lru-cache/LinkedListNode.js b/src/data-structures/lru-cache/LinkedListNode.js new file mode 100644 index 0000000000..6c2b3cd6ff --- /dev/null +++ b/src/data-structures/lru-cache/LinkedListNode.js @@ -0,0 +1,17 @@ +class LinkedListNode { + /** + * Creates a doubly-linked list node. + * @param {string} key + * @param {any} val + * @param {LinkedListNode} prev + * @param {LinkedListNode} next + */ + constructor(key, val, prev = null, next = null) { + this.key = key; + this.val = val; + this.prev = prev; + this.next = next; + } +} + +export default LinkedListNode; diff --git a/src/data-structures/lru-cache/README.md b/src/data-structures/lru-cache/README.md new file mode 100644 index 0000000000..b9175ba36d --- /dev/null +++ b/src/data-structures/lru-cache/README.md @@ -0,0 +1,37 @@ +# Least Recently Used (LRU) Cache + +A **Least Recently Used (LRU) Cache** organizes items in order of use, allowing you to quickly identify which item hasn't been used for the longest amount of time. + +Picture a clothes rack, where clothes are always hung up on one side. To find the least-recently used item, look at the item on the other end of the rack. + +## The problem statement + +Implement the LRUCache class: + +- `LRUCache(int capacity)` Initialize the LRU cache with **positive** size `capacity`. +- `int get(int key)` Return the value of the `key` if the `key` exists, otherwise return `undefined`. +- `void set(int key, int value)` Update the value of the `key` if the `key` exists. Otherwise, add the `key-value` pair to the cache. If the number of keys exceeds the `capacity` from this operation, **evict** the least recently used key. + +The functions `get()` and `set()` must each run in `O(1)` average time complexity. + +## Implementation + +See the `LRUCache` implementation example in [LRUCache.js](./LRUCache.js). The solution uses a `HashMap` for fast `O(1)` cache items access, and a `DoublyLinkedList` for fast `O(1)` cache items promotions and eviction (to keep the maximum allowed cache capacity). + +![Linked List](./images/lru-cache.jpg) + +*Made with [okso.app](https://okso.app)* + +## Costs + +| | Worst Case | +|---|---| +| Space |`O(n)`| +| Get item | `O(1)` | +| Set item | `O(1)` | + +## References + +- [LRU Cache on LeetCode](https://leetcode.com/problems/lru-cache/solutions/244744/lru-cache/) +- [LRU Cache on InterviewCake](https://www.interviewcake.com/concept/java/lru-cache) +- [LRU Cache on Wiki](https://en.wikipedia.org/wiki/Cache_replacement_policies) diff --git a/src/data-structures/lru-cache/__test__/LRUCache.test.js b/src/data-structures/lru-cache/__test__/LRUCache.test.js new file mode 100644 index 0000000000..438fd50378 --- /dev/null +++ b/src/data-structures/lru-cache/__test__/LRUCache.test.js @@ -0,0 +1,150 @@ +import LRUCache from '../LRUCache'; + +describe('LRUCache', () => { + it('should set and get values to and from the cache', () => { + const cache = new LRUCache(100); + expect(cache.get('key-1')).toBeUndefined(); + + cache.set('key-1', 15); + cache.set('key-2', 16); + cache.set('key-3', 17); + expect(cache.get('key-1')).toBe(15); + expect(cache.get('key-2')).toBe(16); + expect(cache.get('key-3')).toBe(17); + expect(cache.get('key-3')).toBe(17); + expect(cache.get('key-2')).toBe(16); + expect(cache.get('key-1')).toBe(15); + + cache.set('key-1', 5); + cache.set('key-2', 6); + cache.set('key-3', 7); + expect(cache.get('key-1')).toBe(5); + expect(cache.get('key-2')).toBe(6); + expect(cache.get('key-3')).toBe(7); + }); + + it('should evict least recently used items from cache with cache size of 1', () => { + const cache = new LRUCache(1); + expect(cache.get('key-1')).toBeUndefined(); + + cache.set('key-1', 15); + expect(cache.get('key-1')).toBe(15); + + cache.set('key-2', 16); + expect(cache.get('key-1')).toBeUndefined(); + expect(cache.get('key-2')).toBe(16); + + cache.set('key-2', 17); + expect(cache.get('key-2')).toBe(17); + + cache.set('key-3', 18); + cache.set('key-4', 19); + expect(cache.get('key-2')).toBeUndefined(); + expect(cache.get('key-3')).toBeUndefined(); + expect(cache.get('key-4')).toBe(19); + }); + + it('should evict least recently used items from cache with cache size of 2', () => { + const cache = new LRUCache(2); + expect(cache.get('key-21')).toBeUndefined(); + + cache.set('key-21', 15); + expect(cache.get('key-21')).toBe(15); + + cache.set('key-22', 16); + expect(cache.get('key-21')).toBe(15); + expect(cache.get('key-22')).toBe(16); + + cache.set('key-22', 17); + expect(cache.get('key-22')).toBe(17); + + cache.set('key-23', 18); + expect(cache.size).toBe(2); + expect(cache.get('key-21')).toBeUndefined(); + expect(cache.get('key-22')).toBe(17); + expect(cache.get('key-23')).toBe(18); + + cache.set('key-24', 19); + expect(cache.size).toBe(2); + expect(cache.get('key-21')).toBeUndefined(); + expect(cache.get('key-22')).toBeUndefined(); + expect(cache.get('key-23')).toBe(18); + expect(cache.get('key-24')).toBe(19); + }); + + it('should evict least recently used items from cache with cache size of 3', () => { + const cache = new LRUCache(3); + + cache.set('key-1', 1); + cache.set('key-2', 2); + cache.set('key-3', 3); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(3); + + cache.set('key-3', 4); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(4); + + cache.set('key-4', 5); + expect(cache.get('key-1')).toBeUndefined(); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(4); + expect(cache.get('key-4')).toBe(5); + }); + + it('should promote the node while calling set() method', () => { + const cache = new LRUCache(2); + + cache.set('2', 1); + cache.set('1', 1); + cache.set('2', 3); + cache.set('4', 1); + expect(cache.get('1')).toBeUndefined(); + expect(cache.get('2')).toBe(3); + }); + + it('should promote the recently accessed item with cache size of 3', () => { + const cache = new LRUCache(3); + + cache.set('key-1', 1); + cache.set('key-2', 2); + cache.set('key-3', 3); + expect(cache.get('key-1')).toBe(1); + + cache.set('key-4', 4); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-4')).toBe(4); + expect(cache.get('key-2')).toBeUndefined(); + }); + + it('should promote the recently accessed item with cache size of 4', () => { + const cache = new LRUCache(4); + + cache.set('key-1', 1); + cache.set('key-2', 2); + cache.set('key-3', 3); + cache.set('key-4', 4); + expect(cache.get('key-4')).toBe(4); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-1')).toBe(1); + + cache.set('key-5', 5); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-4')).toBeUndefined(); + expect(cache.get('key-5')).toBe(5); + + cache.set('key-6', 6); + expect(cache.get('key-1')).toBeUndefined(); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-4')).toBeUndefined(); + expect(cache.get('key-5')).toBe(5); + expect(cache.get('key-6')).toBe(6); + }); +}); diff --git a/src/data-structures/lru-cache/images/lru-cache.jpg b/src/data-structures/lru-cache/images/lru-cache.jpg new file mode 100644 index 0000000000000000000000000000000000000000..be851b2f1d468f3608529460a43dd808a85418c9 GIT binary patch literal 677600 zcmeFZ1yo#3yC&KMf=h6BXo9;-2u|bDID`O=yL&>A1eeAw1gG)FHNl~=;7&qtw_qWJ z>F@miKWApm+zn-(B_A-u3Rs#mDb}XCNh2B>)Nv0Dyx0 z03Ls!EUL=OztYy#Qc_h{{71$x02$Eu000+PZ%Mz;P+ua*k zM*A<>Q(speDcd0B=XU>%Z1vyB*6yBvm5)P~k#ceN`KztJ!e5ASA+BIOWQ>VCXaHUS zU4Sw`?%(_GRtNxyT>${7N&lW^l?4E_L;?U5%m1FnQUCxDL;wKIlmDLf@0_^5_I!=3 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z&@?NUa{!=woPDDUL3rKknjC#TELI$N@1V%y%fG+h`hfAN-}PARSd=9PyuO>PJj8e> zYF}>dko_0tmPOGXKqs;p3cF zk>53aK=2PLHlDnliq&kqc(kr;TI*oPB$V%nFXs=Adjjl4-A&q;0SPhUlNYE5%U%zKxTudlU(^G~+mwq*4W(_5EeU zviq0(PKd^oXLqt)$UFJkig8mu*|t(Lp7NQd^ka#?@6C)oi5#w8^?#k Date: Mon, 23 Jan 2023 18:15:13 +0100 Subject: [PATCH 094/135] Update LRU Cache README. --- src/data-structures/lru-cache/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/data-structures/lru-cache/README.md b/src/data-structures/lru-cache/README.md index b9175ba36d..866afa1e60 100644 --- a/src/data-structures/lru-cache/README.md +++ b/src/data-structures/lru-cache/README.md @@ -22,6 +22,8 @@ See the `LRUCache` implementation example in [LRUCache.js](./LRUCache.js). The s *Made with [okso.app](https://okso.app)* +You may also find more test-case examples of how the LRU Cache works in [LRUCache.test.js](./__test__/LRUCache.test.js) file. + ## Costs | | Worst Case | From 6c4aa1b6a26c45e75d22a92adf1fcdcbc95cd401 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 23 Jan 2023 18:43:00 +0100 Subject: [PATCH 095/135] Update time complexity table for LRU. --- src/data-structures/lru-cache/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/lru-cache/README.md b/src/data-structures/lru-cache/README.md index 866afa1e60..231656ae3d 100644 --- a/src/data-structures/lru-cache/README.md +++ b/src/data-structures/lru-cache/README.md @@ -26,7 +26,7 @@ You may also find more test-case examples of how the LRU Cache works in [LRUCach ## Costs -| | Worst Case | +| | Average | |---|---| | Space |`O(n)`| | Get item | `O(1)` | From f6a0ed42bcaba0607fb2cc1d843f90d78ea340c3 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 23 Jan 2023 18:43:52 +0100 Subject: [PATCH 096/135] Update time complexity table for LRU. --- src/data-structures/lru-cache/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/lru-cache/README.md b/src/data-structures/lru-cache/README.md index 231656ae3d..2076115fa3 100644 --- a/src/data-structures/lru-cache/README.md +++ b/src/data-structures/lru-cache/README.md @@ -24,7 +24,7 @@ See the `LRUCache` implementation example in [LRUCache.js](./LRUCache.js). The s You may also find more test-case examples of how the LRU Cache works in [LRUCache.test.js](./__test__/LRUCache.test.js) file. -## Costs +## Complexities | | Average | |---|---| From fbd77551b3196b15f7ea3373ad0efebc13fd47c1 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 23 Jan 2023 18:44:46 +0100 Subject: [PATCH 097/135] Update time complexity table for LRU. --- src/data-structures/lru-cache/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data-structures/lru-cache/README.md b/src/data-structures/lru-cache/README.md index 2076115fa3..2e964239d2 100644 --- a/src/data-structures/lru-cache/README.md +++ b/src/data-structures/lru-cache/README.md @@ -16,7 +16,7 @@ The functions `get()` and `set()` must each run in `O(1)` average time complexit ## Implementation -See the `LRUCache` implementation example in [LRUCache.js](./LRUCache.js). The solution uses a `HashMap` for fast `O(1)` cache items access, and a `DoublyLinkedList` for fast `O(1)` cache items promotions and eviction (to keep the maximum allowed cache capacity). +See the `LRUCache` implementation example in [LRUCache.js](./LRUCache.js). The solution uses a `HashMap` for fast `O(1)` (in average) cache items access, and a `DoublyLinkedList` for fast `O(1)` (in average) cache items promotions and eviction (to keep the maximum allowed cache capacity). ![Linked List](./images/lru-cache.jpg) From 69c3a16f75175fa6f49cd936e0049fdc6ede1da4 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Tue, 24 Jan 2023 09:04:02 +0100 Subject: [PATCH 098/135] Refactor LRU Cache. --- src/data-structures/lru-cache/LRUCache.js | 23 +++++++++++++++++-- .../lru-cache/LinkedListNode.js | 17 -------------- 2 files changed, 21 insertions(+), 19 deletions(-) delete mode 100644 src/data-structures/lru-cache/LinkedListNode.js diff --git a/src/data-structures/lru-cache/LRUCache.js b/src/data-structures/lru-cache/LRUCache.js index dc27d1b4b0..09bf58e434 100644 --- a/src/data-structures/lru-cache/LRUCache.js +++ b/src/data-structures/lru-cache/LRUCache.js @@ -1,5 +1,24 @@ -/* eslint-disable no-param-reassign */ -import LinkedListNode from './LinkedListNode'; +/* eslint-disable no-param-reassign, max-classes-per-file */ + +/** + * Simple implementation of the Doubly-Linked List Node + * that is used in LRUCache class below. + */ +class LinkedListNode { + /** + * Creates a doubly-linked list node. + * @param {string} key + * @param {any} val + * @param {LinkedListNode} prev + * @param {LinkedListNode} next + */ + constructor(key, val, prev = null, next = null) { + this.key = key; + this.val = val; + this.prev = prev; + this.next = next; + } +} /** * Implementation of the LRU (Least Recently Used) Cache diff --git a/src/data-structures/lru-cache/LinkedListNode.js b/src/data-structures/lru-cache/LinkedListNode.js deleted file mode 100644 index 6c2b3cd6ff..0000000000 --- a/src/data-structures/lru-cache/LinkedListNode.js +++ /dev/null @@ -1,17 +0,0 @@ -class LinkedListNode { - /** - * Creates a doubly-linked list node. - * @param {string} key - * @param {any} val - * @param {LinkedListNode} prev - * @param {LinkedListNode} next - */ - constructor(key, val, prev = null, next = null) { - this.key = key; - this.val = val; - this.prev = prev; - this.next = next; - } -} - -export default LinkedListNode; From 4b4d77071cee9c6ba50390ec3635a9755828daa3 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Tue, 24 Jan 2023 09:43:12 +0100 Subject: [PATCH 099/135] Add an example of the LRU Cache based on the Map. --- src/data-structures/lru-cache/LRUCache.js | 6 +- .../lru-cache/LRUCacheOnMap.js | 53 +++++++ src/data-structures/lru-cache/README.md | 12 ++ .../lru-cache/__test__/LRUCacheOnMap.test.js | 148 ++++++++++++++++++ 4 files changed, 216 insertions(+), 3 deletions(-) create mode 100644 src/data-structures/lru-cache/LRUCacheOnMap.js create mode 100644 src/data-structures/lru-cache/__test__/LRUCacheOnMap.test.js diff --git a/src/data-structures/lru-cache/LRUCache.js b/src/data-structures/lru-cache/LRUCache.js index 09bf58e434..d6b4b3c6be 100644 --- a/src/data-structures/lru-cache/LRUCache.js +++ b/src/data-structures/lru-cache/LRUCache.js @@ -24,7 +24,7 @@ class LinkedListNode { * Implementation of the LRU (Least Recently Used) Cache * based on the HashMap and Doubly Linked List data-structures. * - * Current implementation allows to have fast (O(1)) read and write operations. + * Current implementation allows to have fast O(1) (in average) read and write operations. * * At any moment in time the LRU Cache holds not more that "capacity" number of items in it. */ @@ -43,7 +43,7 @@ class LRUCache { /** * Returns the cached value by its key. - * Time complexity: O(1). + * Time complexity: O(1) in average. * @param {string} key * @returns {any} */ @@ -56,7 +56,7 @@ class LRUCache { /** * Sets the value to cache by its key. - * Time complexity: O(1). + * Time complexity: O(1) in average. * @param {string} key * @param {any} val */ diff --git a/src/data-structures/lru-cache/LRUCacheOnMap.js b/src/data-structures/lru-cache/LRUCacheOnMap.js new file mode 100644 index 0000000000..8e4e226129 --- /dev/null +++ b/src/data-structures/lru-cache/LRUCacheOnMap.js @@ -0,0 +1,53 @@ +/* eslint-disable no-restricted-syntax, no-unreachable-loop */ + +/** + * Implementation of the LRU (Least Recently Used) Cache + * based on the (ordered) Map data-structure. + * + * Current implementation allows to have fast O(1) (in average) read and write operations. + * + * At any moment in time the LRU Cache holds not more that "capacity" number of items in it. + */ +class LRUCacheOnMap { + /** + * Creates a cache instance of a specific capacity. + * @param {number} capacity + */ + constructor(capacity) { + this.capacity = capacity; // How many items to store in cache at max. + this.items = new Map(); // The ordered hash map of all cached items. + } + + /** + * Returns the cached value by its key. + * Time complexity: O(1) in average. + * @param {string} key + * @returns {any} + */ + get(key) { + if (!this.items.has(key)) return undefined; + const val = this.items.get(key); + this.items.delete(key); + this.items.set(key, val); + return val; + } + + /** + * Sets the value to cache by its key. + * Time complexity: O(1). + * @param {string} key + * @param {any} val + */ + set(key, val) { + this.items.delete(key); + this.items.set(key, val); + if (this.items.size > this.capacity) { + for (const headKey of this.items.keys()) { + this.items.delete(headKey); + break; + } + } + } +} + +export default LRUCacheOnMap; diff --git a/src/data-structures/lru-cache/README.md b/src/data-structures/lru-cache/README.md index 2e964239d2..05bcc0a0f7 100644 --- a/src/data-structures/lru-cache/README.md +++ b/src/data-structures/lru-cache/README.md @@ -16,6 +16,8 @@ The functions `get()` and `set()` must each run in `O(1)` average time complexit ## Implementation +### Version 1: Doubly Linked List + Hash Map + See the `LRUCache` implementation example in [LRUCache.js](./LRUCache.js). The solution uses a `HashMap` for fast `O(1)` (in average) cache items access, and a `DoublyLinkedList` for fast `O(1)` (in average) cache items promotions and eviction (to keep the maximum allowed cache capacity). ![Linked List](./images/lru-cache.jpg) @@ -24,6 +26,16 @@ See the `LRUCache` implementation example in [LRUCache.js](./LRUCache.js). The s You may also find more test-case examples of how the LRU Cache works in [LRUCache.test.js](./__test__/LRUCache.test.js) file. +### Version 2: Ordered Map + +The first implementation that uses doubly linked list is good for learning purposes and for better understanding of how the average `O(1)` time complexity is achievable while doing `set()` and `get()`. + +However, the simpler approach might be to use a JavaScript [Map](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Map) object. The `Map` object holds key-value pairs and **remembers the original insertion order** of the keys. We can use this fact in order to keep the recently-used items in the "end" of the map by removing and re-adding items. The item at the beginning of the `Map` is the first one to be evicted if cache capacity overflows. The order of the items may checked by using the `IterableIterator` like `map.keys()`. + +See the `LRUCacheOnMap` implementation example in [LRUCacheOnMap.js](./LRUCacheOnMap.js). + +You may also find more test-case examples of how the LRU Cache works in [LRUCacheOnMap.test.js](./__test__/LRUCacheOnMap.test.js) file. + ## Complexities | | Average | diff --git a/src/data-structures/lru-cache/__test__/LRUCacheOnMap.test.js b/src/data-structures/lru-cache/__test__/LRUCacheOnMap.test.js new file mode 100644 index 0000000000..8912a1199a --- /dev/null +++ b/src/data-structures/lru-cache/__test__/LRUCacheOnMap.test.js @@ -0,0 +1,148 @@ +import LRUCache from '../LRUCacheOnMap'; + +describe('LRUCacheOnMap', () => { + it('should set and get values to and from the cache', () => { + const cache = new LRUCache(100); + expect(cache.get('key-1')).toBeUndefined(); + + cache.set('key-1', 15); + cache.set('key-2', 16); + cache.set('key-3', 17); + expect(cache.get('key-1')).toBe(15); + expect(cache.get('key-2')).toBe(16); + expect(cache.get('key-3')).toBe(17); + expect(cache.get('key-3')).toBe(17); + expect(cache.get('key-2')).toBe(16); + expect(cache.get('key-1')).toBe(15); + + cache.set('key-1', 5); + cache.set('key-2', 6); + cache.set('key-3', 7); + expect(cache.get('key-1')).toBe(5); + expect(cache.get('key-2')).toBe(6); + expect(cache.get('key-3')).toBe(7); + }); + + it('should evict least recently used items from cache with cache size of 1', () => { + const cache = new LRUCache(1); + expect(cache.get('key-1')).toBeUndefined(); + + cache.set('key-1', 15); + expect(cache.get('key-1')).toBe(15); + + cache.set('key-2', 16); + expect(cache.get('key-1')).toBeUndefined(); + expect(cache.get('key-2')).toBe(16); + + cache.set('key-2', 17); + expect(cache.get('key-2')).toBe(17); + + cache.set('key-3', 18); + cache.set('key-4', 19); + expect(cache.get('key-2')).toBeUndefined(); + expect(cache.get('key-3')).toBeUndefined(); + expect(cache.get('key-4')).toBe(19); + }); + + it('should evict least recently used items from cache with cache size of 2', () => { + const cache = new LRUCache(2); + expect(cache.get('key-21')).toBeUndefined(); + + cache.set('key-21', 15); + expect(cache.get('key-21')).toBe(15); + + cache.set('key-22', 16); + expect(cache.get('key-21')).toBe(15); + expect(cache.get('key-22')).toBe(16); + + cache.set('key-22', 17); + expect(cache.get('key-22')).toBe(17); + + cache.set('key-23', 18); + expect(cache.get('key-21')).toBeUndefined(); + expect(cache.get('key-22')).toBe(17); + expect(cache.get('key-23')).toBe(18); + + cache.set('key-24', 19); + expect(cache.get('key-21')).toBeUndefined(); + expect(cache.get('key-22')).toBeUndefined(); + expect(cache.get('key-23')).toBe(18); + expect(cache.get('key-24')).toBe(19); + }); + + it('should evict least recently used items from cache with cache size of 3', () => { + const cache = new LRUCache(3); + + cache.set('key-1', 1); + cache.set('key-2', 2); + cache.set('key-3', 3); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(3); + + cache.set('key-3', 4); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(4); + + cache.set('key-4', 5); + expect(cache.get('key-1')).toBeUndefined(); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(4); + expect(cache.get('key-4')).toBe(5); + }); + + it('should promote the node while calling set() method', () => { + const cache = new LRUCache(2); + + cache.set('2', 1); + cache.set('1', 1); + cache.set('2', 3); + cache.set('4', 1); + expect(cache.get('1')).toBeUndefined(); + expect(cache.get('2')).toBe(3); + }); + + it('should promote the recently accessed item with cache size of 3', () => { + const cache = new LRUCache(3); + + cache.set('key-1', 1); + cache.set('key-2', 2); + cache.set('key-3', 3); + expect(cache.get('key-1')).toBe(1); + + cache.set('key-4', 4); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-4')).toBe(4); + expect(cache.get('key-2')).toBeUndefined(); + }); + + it('should promote the recently accessed item with cache size of 4', () => { + const cache = new LRUCache(4); + + cache.set('key-1', 1); + cache.set('key-2', 2); + cache.set('key-3', 3); + cache.set('key-4', 4); + expect(cache.get('key-4')).toBe(4); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-1')).toBe(1); + + cache.set('key-5', 5); + expect(cache.get('key-1')).toBe(1); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-4')).toBeUndefined(); + expect(cache.get('key-5')).toBe(5); + + cache.set('key-6', 6); + expect(cache.get('key-1')).toBeUndefined(); + expect(cache.get('key-2')).toBe(2); + expect(cache.get('key-3')).toBe(3); + expect(cache.get('key-4')).toBeUndefined(); + expect(cache.get('key-5')).toBe(5); + expect(cache.get('key-6')).toBe(6); + }); +}); From 1d6249d552240794c4ea66e97cd91ae5b062392e Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 27 Jan 2023 08:05:56 +0100 Subject: [PATCH 100/135] Update README. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2c83a70b71..b1bc690479 100644 --- a/README.md +++ b/README.md @@ -62,7 +62,7 @@ the data. * `A` [Segment Tree](src/data-structures/tree/segment-tree) - with min/max/sum range queries examples * `A` [Fenwick Tree](src/data-structures/tree/fenwick-tree) (Binary Indexed Tree) * `A` [Graph](src/data-structures/graph) (both directed and undirected) -* `A` [Disjoint Set](src/data-structures/disjoint-set) +* `A` [Disjoint Set](src/data-structures/disjoint-set) - a union–find data structure or merge–find set * `A` [Bloom Filter](src/data-structures/bloom-filter) * `A` [LRU Cache](src/data-structures/lru-cache/) - Least Recently Used (LRU) cache From bcd1cc1b008100098a906b610f79074db2edea0e Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 30 Jan 2023 08:19:38 +0100 Subject: [PATCH 101/135] Upgrade packages and Node versions. (#989) * Upgrade to Node 16 * Upgrade packages and Node versions. --- .eslintrc | 2 +- .github/workflows/CI.yml | 2 +- .nvmrc | 2 +- README.md | 2 +- jest.config.js | 4 +- package-lock.json | 14190 +++++++++++++++++++++++++++++++------ package.json | 25 +- 7 files changed, 11859 insertions(+), 2368 deletions(-) diff --git a/.eslintrc b/.eslintrc index e1c40a0adb..cf3245bf37 100644 --- a/.eslintrc +++ b/.eslintrc @@ -14,7 +14,7 @@ }, "settings": { "react": { - "version": "latest" + "version": "18.2.0" } } } diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml index 912c719df3..e007b6c910 100644 --- a/.github/workflows/CI.yml +++ b/.github/workflows/CI.yml @@ -11,7 +11,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - node-version: [ 14.x ] + node-version: [ 16.x ] steps: - name: Checkout repository diff --git a/.nvmrc b/.nvmrc index 958b5a36e1..7fd023741b 100644 --- a/.nvmrc +++ b/.nvmrc @@ -1 +1 @@ -v14 +v16.15.0 diff --git a/README.md b/README.md index b1bc690479..9666335e35 100644 --- a/README.md +++ b/README.md @@ -287,7 +287,7 @@ rm -rf ./node_modules npm i ``` -Also make sure that you're using a correct Node version (`>=14.16.0`). If you're using [nvm](https://github.com/nvm-sh/nvm) for Node version management you may run `nvm use` from the root folder of the project and the correct version will be picked up. +Also make sure that you're using a correct Node version (`>=16`). If you're using [nvm](https://github.com/nvm-sh/nvm) for Node version management you may run `nvm use` from the root folder of the project and the correct version will be picked up. **Playground** diff --git a/jest.config.js b/jest.config.js index 3fec225237..78568a1e94 100644 --- a/jest.config.js +++ b/jest.config.js @@ -24,7 +24,9 @@ module.exports = { // This option sets the URL for the jsdom environment. // It is reflected in properties such as location.href. // @see: https://github.com/facebook/jest/issues/6769 - testURL: 'http://localhost/', + testEnvironmentOptions: { + url: 'http://localhost/', + }, // @see: https://jestjs.io/docs/en/configuration#coveragethreshold-object coverageThreshold: { diff --git a/package-lock.json b/package-lock.json index a1e4b4f8ca..3cfe2e3571 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,555 +1,10145 @@ { "name": "javascript-algorithms-and-data-structures", "version": "0.0.4", - "lockfileVersion": 1, + 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"is-map": "^2.0.1", + "is-set": "^2.0.1", + "is-weakmap": "^2.0.1", + "is-weakset": "^2.0.1" + } + }, + "which-typed-array": { + "version": "1.1.9", + "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.9.tgz", + "integrity": "sha512-w9c4xkx6mPidwp7180ckYWfMmvxpjlZuIudNtDf4N/tTAUB8VJbX25qZoAsrtGuYNnGw3pa0AXgbGKRB8/EceA==", + "dev": true, + "requires": { + "available-typed-arrays": "^1.0.5", + "call-bind": "^1.0.2", + "for-each": "^0.3.3", + "gopd": "^1.0.1", + "has-tostringtag": "^1.0.0", + "is-typed-array": "^1.1.10" + } + }, "wide-align": { "version": "1.1.5", "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz", @@ -7088,39 +16592,19 @@ "wrappy": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", - "integrity": "sha1-tSQ9jz7BqjXxNkYFvA0QNuMKtp8=", + "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==", "dev": 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"sha512-y11nGElTIV+CT3Zv9t7VKl+Q3hTQoT9a1Qzezhhl6Rp21gJ/IVTW7Z3y9EWXhuUBC2Shnf+DX0antecpAwSP8w==", + "version": "21.1.1", + "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz", + "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==", + "dev": true + }, + "yocto-queue": { + "version": "0.1.0", + "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", + "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", "dev": true } } diff --git a/package.json b/package.json index 6d29c89e11..80e64db3c7 100644 --- a/package.json +++ b/package.json @@ -35,21 +35,20 @@ "prepare": "husky install" }, "devDependencies": { - "@babel/cli": "7.16.8", - "@babel/preset-env": "7.16.11", - "@types/jest": "27.4.0", - "canvas": "2.9.0", - "eslint": "8.7.0", + "@babel/cli": "7.20.7", + "@babel/preset-env": "7.20.2", + "@types/jest": "29.4.0", + "canvas": "2.11.0", + "eslint": "8.33.0", "eslint-config-airbnb": "19.0.4", - "eslint-plugin-import": "2.25.4", - "eslint-plugin-jest": "25.7.0", - "eslint-plugin-jsx-a11y": "6.5.1", - "eslint-plugin-react": "7.28.0", - "husky": "7.0.4", - "jest": "27.4.7" + "eslint-plugin-import": "2.27.5", + "eslint-plugin-jest": "27.2.1", + "eslint-plugin-jsx-a11y": "6.7.1", + "husky": "8.0.3", + "jest": "29.4.1" }, "engines": { - "node": ">=14.16.0", - "npm": ">=6.14.0" + "node": ">=16.15.0", + "npm": ">=8.5.5" } } From c9f1caf1ca87cfa23a5a12046a8359f93f337971 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 30 Jan 2023 09:01:49 +0100 Subject: [PATCH 102/135] Add a recursive version of the Longest Common Substring. --- .../__test__/longestCommonSubstring.test.js | 2 ++ .../longestCommonSubstringRecursive.test.js | 17 +++++++++ .../longestCommonSubstring.js | 2 ++ .../longestCommonSubstringRecursive.js | 36 +++++++++++++++++++ 4 files changed, 57 insertions(+) create mode 100644 src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js create mode 100644 src/algorithms/string/longest-common-substring/longestCommonSubstringRecursive.js diff --git a/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstring.test.js b/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstring.test.js index a24c0df55c..8c1cb20703 100644 --- a/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstring.test.js +++ b/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstring.test.js @@ -7,6 +7,8 @@ describe('longestCommonSubstring', () => { expect(longestCommonSubstring('', 'ABC')).toBe(''); expect(longestCommonSubstring('ABABC', 'BABCA')).toBe('BABC'); expect(longestCommonSubstring('BABCA', 'ABCBA')).toBe('ABC'); + expect(longestCommonSubstring('sea', 'eat')).toBe('ea'); + expect(longestCommonSubstring('algorithms', 'rithm')).toBe('rithm'); expect(longestCommonSubstring( 'Algorithms and data structures implemented in JavaScript', 'Here you may find Algorithms and data structures that are implemented in JavaScript', diff --git a/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js b/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js new file mode 100644 index 0000000000..d8428033c8 --- /dev/null +++ b/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js @@ -0,0 +1,17 @@ +import longestCommonSubstring from '../longestCommonSubstringRecursive'; + +describe('longestCommonSubstringRecursive', () => { + it('should find longest common substring between two strings', () => { + expect(longestCommonSubstring('', '')).toBe(''); + expect(longestCommonSubstring('ABC', '')).toBe(''); + expect(longestCommonSubstring('', 'ABC')).toBe(''); + expect(longestCommonSubstring('ABABC', 'BABCA')).toBe('BABC'); + expect(longestCommonSubstring('BABCA', 'ABCBA')).toBe('ABCA'); + expect(longestCommonSubstring('sea', 'eat')).toBe('ea'); + expect(longestCommonSubstring('algorithms', 'rithm')).toBe('rithm'); + expect(longestCommonSubstring( + 'Algorithms and data structures implemented in JavaScript', + 'Here you may find Algorithms and data structures that are implemented in JavaScript', + )).toBe('Algorithms and data structures implemented in JavaScript'); + }); +}); diff --git a/src/algorithms/string/longest-common-substring/longestCommonSubstring.js b/src/algorithms/string/longest-common-substring/longestCommonSubstring.js index 1d68ede9e3..6afeccf398 100644 --- a/src/algorithms/string/longest-common-substring/longestCommonSubstring.js +++ b/src/algorithms/string/longest-common-substring/longestCommonSubstring.js @@ -1,4 +1,6 @@ /** + * Longest Common Substring (LCS) (Dynamic Programming Approach). + * * @param {string} string1 * @param {string} string2 * @return {string} diff --git a/src/algorithms/string/longest-common-substring/longestCommonSubstringRecursive.js b/src/algorithms/string/longest-common-substring/longestCommonSubstringRecursive.js new file mode 100644 index 0000000000..88cb08aa00 --- /dev/null +++ b/src/algorithms/string/longest-common-substring/longestCommonSubstringRecursive.js @@ -0,0 +1,36 @@ +/* eslint-disable no-param-reassign */ +/** + * Longest Common Substring (LCS) (Recursive Approach). + * + * @param {string} string1 + * @param {string} string2 + * @return {number} + */ +export default function longestCommonSubstringRecursive(string1, string2) { + /** + * + * @param {string} s1 + * @param {string} s2 + * @return {string} - returns the LCS (Longest Common Substring) + */ + const lcs = (s1, s2, memo = {}) => { + if (!s1 || !s2) return ''; + + if (memo[`${s1}:${s2}`]) return memo[`${s1}:${s2}`]; + + if (s1[0] === s2[0]) { + return s1[0] + lcs(s1.substring(1), s2.substring(1), memo); + } + + const nextLcs1 = lcs(s1.substring(1), s2, memo); + const nextLcs2 = lcs(s1, s2.substring(1), memo); + + const nextLongest = nextLcs1.length >= nextLcs2.length ? nextLcs1 : nextLcs2; + + memo[`${s1}:${s2}`] = nextLongest; + + return nextLongest; + }; + + return lcs(string1, string2); +} From 5fc33c0f0ae5c6ccddaf8c40a8af483fb750a3ad Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 30 Jan 2023 09:08:17 +0100 Subject: [PATCH 103/135] Add a recursive version of the Longest Common Subsequence. --- .../longestCommonSubsequenceRecursive.test.js | 17 +++++++++++++++++ .../longestCommonSubsequenceRecursive.js} | 6 +++--- .../longestCommonSubstringRecursive.test.js | 17 ----------------- 3 files changed, 20 insertions(+), 20 deletions(-) create mode 100644 src/algorithms/sets/longest-common-subsequence/__test__/longestCommonSubsequenceRecursive.test.js rename src/algorithms/{string/longest-common-substring/longestCommonSubstringRecursive.js => sets/longest-common-subsequence/longestCommonSubsequenceRecursive.js} (77%) delete mode 100644 src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js diff --git a/src/algorithms/sets/longest-common-subsequence/__test__/longestCommonSubsequenceRecursive.test.js b/src/algorithms/sets/longest-common-subsequence/__test__/longestCommonSubsequenceRecursive.test.js new file mode 100644 index 0000000000..3d5c9d802a --- /dev/null +++ b/src/algorithms/sets/longest-common-subsequence/__test__/longestCommonSubsequenceRecursive.test.js @@ -0,0 +1,17 @@ +import longestCommonSubsequence from '../longestCommonSubsequenceRecursive'; + +describe('longestCommonSubsequenceRecursive', () => { + it('should find longest common substring between two strings', () => { + expect(longestCommonSubsequence('', '')).toBe(''); + expect(longestCommonSubsequence('ABC', '')).toBe(''); + expect(longestCommonSubsequence('', 'ABC')).toBe(''); + expect(longestCommonSubsequence('ABABC', 'BABCA')).toBe('BABC'); + expect(longestCommonSubsequence('BABCA', 'ABCBA')).toBe('ABCA'); + expect(longestCommonSubsequence('sea', 'eat')).toBe('ea'); + expect(longestCommonSubsequence('algorithms', 'rithm')).toBe('rithm'); + expect(longestCommonSubsequence( + 'Algorithms and data structures implemented in JavaScript', + 'Here you may find Algorithms and data structures that are implemented in JavaScript', + )).toBe('Algorithms and data structures implemented in JavaScript'); + }); +}); diff --git a/src/algorithms/string/longest-common-substring/longestCommonSubstringRecursive.js b/src/algorithms/sets/longest-common-subsequence/longestCommonSubsequenceRecursive.js similarity index 77% rename from src/algorithms/string/longest-common-substring/longestCommonSubstringRecursive.js rename to src/algorithms/sets/longest-common-subsequence/longestCommonSubsequenceRecursive.js index 88cb08aa00..580ba8c72f 100644 --- a/src/algorithms/string/longest-common-substring/longestCommonSubstringRecursive.js +++ b/src/algorithms/sets/longest-common-subsequence/longestCommonSubsequenceRecursive.js @@ -1,17 +1,17 @@ /* eslint-disable no-param-reassign */ /** - * Longest Common Substring (LCS) (Recursive Approach). + * Longest Common Subsequence (LCS) (Recursive Approach). * * @param {string} string1 * @param {string} string2 * @return {number} */ -export default function longestCommonSubstringRecursive(string1, string2) { +export default function longestCommonSubsequenceRecursive(string1, string2) { /** * * @param {string} s1 * @param {string} s2 - * @return {string} - returns the LCS (Longest Common Substring) + * @return {string} - returns the LCS (Longest Common Subsequence) */ const lcs = (s1, s2, memo = {}) => { if (!s1 || !s2) return ''; diff --git a/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js b/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js deleted file mode 100644 index d8428033c8..0000000000 --- a/src/algorithms/string/longest-common-substring/__test__/longestCommonSubstringRecursive.test.js +++ /dev/null @@ -1,17 +0,0 @@ -import longestCommonSubstring from '../longestCommonSubstringRecursive'; - -describe('longestCommonSubstringRecursive', () => { - it('should find longest common substring between two strings', () => { - expect(longestCommonSubstring('', '')).toBe(''); - expect(longestCommonSubstring('ABC', '')).toBe(''); - expect(longestCommonSubstring('', 'ABC')).toBe(''); - expect(longestCommonSubstring('ABABC', 'BABCA')).toBe('BABC'); - expect(longestCommonSubstring('BABCA', 'ABCBA')).toBe('ABCA'); - expect(longestCommonSubstring('sea', 'eat')).toBe('ea'); - expect(longestCommonSubstring('algorithms', 'rithm')).toBe('rithm'); - expect(longestCommonSubstring( - 'Algorithms and data structures implemented in JavaScript', - 'Here you may find Algorithms and data structures that are implemented in JavaScript', - )).toBe('Algorithms and data structures implemented in JavaScript'); - }); -}); From af08253a956c994f098f84e5fdd700b6ce99b344 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Wed, 1 Feb 2023 08:11:25 +0100 Subject: [PATCH 104/135] Adding Heap time complexities --- src/data-structures/heap/README.md | 25 +++++++++++++++++++++++++ 1 file changed, 25 insertions(+) diff --git a/src/data-structures/heap/README.md b/src/data-structures/heap/README.md index db5f9e339f..824d646043 100644 --- a/src/data-structures/heap/README.md +++ b/src/data-structures/heap/README.md @@ -33,6 +33,31 @@ to the key of `C` The node at the "top" of the heap with no parents is called the root node. +## Time Complexities + +Here are time complexities of various heap data structures. Function names assume a max-heap. + +| Operation | find-max | delete-max | insert| increase-key| meld | +| --------- | -------- | ---------- | ----- | ----------- | ---- | +| [Binary](https://en.wikipedia.org/wiki/Binary_heap) | `Θ(1)` | `Θ(log n)` | `O(log n)` | `O(log n)` | `Θ(n)` | +| [Leftist](https://en.wikipedia.org/wiki/Leftist_tree) | `Θ(1)` | `Θ(log n)` | `Θ(log n)` | `O(log n)` | `Θ(log n)` | +| [Binomial](https://en.wikipedia.org/wiki/Binomial_heap) | `Θ(1)` | `Θ(log n)` | `Θ(1)` | `O(log n)` | `O(log n)` | +| [Fibonacci](https://en.wikipedia.org/wiki/Fibonacci_heap) | `Θ(1)` | `Θ(log n)` | `Θ(1)` | `Θ(1)` | `Θ(1)` | +| [Pairing](https://en.wikipedia.org/wiki/Pairing_heap) | `Θ(1)` | `Θ(log n)` | `Θ(1)` | `o(log n)` | `Θ(1)` | +| [Brodal](https://en.wikipedia.org/wiki/Brodal_queue) | `Θ(1)` | `Θ(log n)` | `Θ(1)` | `Θ(1)` | `Θ(1)` | +| [Rank-pairing](https://en.wikipedia.org/w/index.php?title=Rank-pairing_heap&action=edit&redlink=1) | `Θ(1)` | `Θ(log n)` | `Θ(1)` | `Θ(1)` | `Θ(1)` | +| [Strict Fibonacci](https://en.wikipedia.org/wiki/Fibonacci_heap) | `Θ(1)` | `Θ(log n)` | `Θ(1)` | `Θ(1)` | `Θ(1)` | +| [2-3 heap](https://en.wikipedia.org/wiki/2%E2%80%933_heap) | `O(log n)` | `O(log n)` | `O(log n)` | `Θ(1)` | `?` | + +Where: +- **find-max (or find-min):** find a maximum item of a max-heap, or a minimum item of a min-heap, respectively (a.k.a. *peek*) +- **delete-max (or delete-min):** removing the root node of a max heap (or min heap), respectively +- **insert:** adding a new key to the heap (a.k.a., *push*) +- **increase-key or decrease-key:** updating a key within a max- or min-heap, respectively +- **meld:** joining two heaps to form a valid new heap containing all the elements of both, destroying the original heaps. + +> In this repository, the [MaxHeap.js](./MaxHeap.js) and [MinHeap.js](./MinHeap.js) are examples of the **Binary** heap. + ## References - [Wikipedia](https://en.wikipedia.org/wiki/Heap_(data_structure)) From 5a41865787350d1270ae07b2086604caf7d16454 Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Mon, 20 Feb 2023 18:41:58 +0100 Subject: [PATCH 105/135] Add links for code examples for K-Means clustering --- src/algorithms/ml/k-means/README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/src/algorithms/ml/k-means/README.md b/src/algorithms/ml/k-means/README.md index 4221880054..fb58c1bfa4 100644 --- a/src/algorithms/ml/k-means/README.md +++ b/src/algorithms/ml/k-means/README.md @@ -30,6 +30,11 @@ _Image source: [Wikipedia](https://en.wikipedia.org/wiki/K-means_clustering)_ The centroids are moving continuously in order to create better distinction between the different set of data points. As we can see, after a few iterations, the difference in centroids is quite low between iterations. For example between iterations `13` and `14` the difference is quite small because there the optimizer is tuning boundary cases. +## Code Examples + +- [kMeans.js](./kMeans.js) +- [kMeans.test.js](./__test__/kMeans.test.js) (test cases) + ## References - [k-Means neighbors algorithm on Wikipedia](https://en.wikipedia.org/wiki/K-means_clustering) From 46aae1d708f077ad229f200053cab8276fd6317c Mon Sep 17 00:00:00 2001 From: Oleksii Trekhleb Date: Fri, 24 Feb 2023 23:04:35 -0100 Subject: [PATCH 106/135] Add bakers --- BACKERS.md | 31 ++++++++++++++++++++++++++++++- README.md | 24 ++++++++++++++++++++---- 2 files changed, 50 insertions(+), 5 deletions(-) diff --git a/BACKERS.md b/BACKERS.md index 62c397a38c..ccd5a2d287 100644 --- a/BACKERS.md +++ b/BACKERS.md @@ -8,12 +8,41 @@ ## `O(n²)` Backers -`null` +

      ## `O(n×log(n))` Backers `null` + +

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