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🩹 fixed java > counting bits > Approach 3
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java/counting-bits.md

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# [Leetcode 338: Counting Bits](https://leetcode.com/problems/counting-bits/)
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## Approaches
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- [Approach 1: Naive Approach](#approach-1-naive-approach)
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- [Approach 2: DP with Last Significant Bit](#approach-2-dp-with-last-significant-bit)
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- [Approach 3: DP with Highest Power of Two](#approach-3-dp-with-highest-power-of-two)
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- [Leetcode 338: Counting Bits](#leetcode-338-counting-bits)
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- [Approaches](#approaches)
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- [Approach 1: Naive Approach](#approach-1-naive-approach)
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- [Intuition](#intuition)
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- [Code](#code)
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- [Time Complexity](#time-complexity)
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- [Space Complexity](#space-complexity)
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- [Approach 2: DP with Last Significant Bit](#approach-2-dp-with-last-significant-bit)
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- [Intuition](#intuition-1)
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- [Code](#code-1)
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- [Time Complexity](#time-complexity-1)
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- [Space Complexity](#space-complexity-1)
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- [Approach 3: DP with Highest Power of Two](#approach-3-dp-with-highest-power-of-two)
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- [Intuition](#intuition-2)
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- [Code](#code-2)
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- [Time Complexity](#time-complexity-2)
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- [Space Complexity](#space-complexity-2)
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@@ -81,9 +95,9 @@ public int[] countBits(int n) {
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for (int i = 1; i <= n; i++) {
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if (i == pow) {
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pow *= 2; // Move to the next power of two
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x = 1;
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x = i;
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}
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res[i] = res[x++] + 1; // Use the result from a smaller index plus one
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res[i] = res[i-x] + 1; // Use the result from a smaller index plus one
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}
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return res;
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}

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