[Leetcode 53, medium] Maximal subarray

本文探讨如何在数组中找到具有最大和的连续子数组,通过实例展示算法实现及优化。

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Problem:

Find the contiguous subarray within an array (containing at least one number) which has the largest sum.

For example, given the array [−2,1,−3,4,−1,2,1,−5,4],
the contiguous subarray [4,−1,2,1] has the largest sum = 6.

click to show more practice.

More practice:

If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle.

Analysis:


Solutions:

C++:

    int maxSubArray(int A[], int n) {
        int max_sum = 0;
        int partial_sum = 0;
        for(int i = 0; i < n; ++i) {
            partial_sum += A[i];

            if(i == 0 || partial_sum > max_sum)
                max_sum = partial_sum;

            if(partial_sum < 0)
                partial_sum = 0;
        }
        
        return max_sum;
    }


Java:


Python:


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