• 53. Maximum Subarray


    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.

    =====================
    状态转移方程为:
    /**dp
            f[i] = max{f[i-1]+nums[i],nums[i]},1<=i<n
            return max{f[i]} 0<=i<n
            */
    ---------
    =========
    code
    class Solution {
    public:
        int maxSubArray(vector<int> &nums){
            /**dp
            f[i] = max{f[i-1]+nums[i],nums[i]},1<=i<n
            return max{f[i]} 0<=i<n
            */
    
            int length = nums.size();
            vector<int> f(length);
            f[0] = nums[0];
            for(int i = 1;i<length;i++){
                f[i] = max(f[i-1]+nums[i],nums[i]);
            }
    
            vector<int>::iterator iter;
            iter = max_element(f.begin(),f.end());
            return *iter;
        }
    };
     
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  • 原文地址:https://www.cnblogs.com/li-daphne/p/5625166.html
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