BackTracking Approach

General Approach to Backtracking Problems in Java

With this approach you can solve any Backtracking question

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• Backtracking is a foundational technique in algorithm design where we incrementally build a solution and backtrack when a constraint is violated or a goal is met. Problems like generating subsets, permutations, or combinations often follow a common recursive template.
• Below are some of the most common LeetCode backtracking problems, along with intuitive explanations and links to the problem pages.

1. 🔢 Subsets

https://leetcode.com/problems/subsets?envType=problem-list-v2&envId=backtracking

Description:

• Generate all possible subsets (the power set) of a given list of distinct integers. At each step, choose to include or exclude the current element, exploring both paths recursively.

Backtracking Idea:

• Track the current subset and start index. For each index, either include the number or move on without it.

Code

class Solution {
    List<List<Integer>> res=new ArrayList<>();
    public List<List<Integer>> subsets(int[] nums) {
        List<Integer> list=new ArrayList<>();
        generate(list,nums,0);
        return res;
    }
    public void generate(List<Integer> list,int[] nums,int index){…