LeetCode 53. Maximum Subarray (DP) C++

    技术2023-09-14  84

    Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum. 给定一个整数数组 nums ,找到一个具有最大和的连续子数组(子数组最少包含一个元素),返回其最大和。 Example:

    Input: [-2,1,-3,4,-1,2,1,-5,4], Output: 6 Explanation: [4,-1,2,1] has the largest sum = 6.

    Follow up:

    If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle. 如果你已经实现复杂度为 O(n) 的解法,尝试使用更为精妙的分治法求解。

    动态转移方程:

    dp[i] = max(dp[i - 1] + nums[i], nums[i])

    C++

    //algorithm: dynamic programming class Solution { public: int maxSubArray(vector<int>& nums) { int res = nums[0]; int dp[nums.size()]; dp[0] = nums[0];//base case for(int i = 1; i < nums.size(); i++){ dp[i] = max(dp[i - 1] + nums[i],nums[i]);//Dynamic transfer equation res = max(res, dp[i]); } return res; } };
    Processed: 0.009, SQL: 10