Maximum Subarray (JAVA) 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. 1publicstaticintmaxSubArray(...
classSolution {public:intmaxSubArray(vector<int>&nums) {intres = INT_MIN, curSum =0;for(intnum : nums) { curSum= max(curSum +num, num); res=max(res, curSum); }returnres; } }; Java 解法一: publicclassSolution {publicintmaxSubArray(int[] nums) {intres = Integer.MIN_VALUE, cur...
AI代码解释 classSolution:defmaxSubArray(self,nums:List[int])->int:n=len(nums)dp=[0]*n dp[0]=nums[0]maximum=dp[0]foriinrange(1,n):dp[i]=max(dp[i-1]+nums[i],nums[i])maximum=max(maximum,dp[i])returnmaximum
然后left[] 和 right[] 里分别存的是,某个位置往左的 maximum subarray 和往右的 maximum subarray java c++ python public class Solution { /** * @param nums: A list of integers * @return: An integer denotes the sum of max two non-overlapping subarrays */ public int maxTwoSubArrays(ArrayLis...
详见:https://leetcode.com/problems/maximum-subarray/description/ Java实现: 方法一:暴力解 方法二: ...LeetCode 最大子序和(Maximum Subarray) 题目 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。 示例 输入: [-2,1,-3,4,-1,2,1,-5,4], ...
return maxSum; } } 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. class Solution: def maxSubArray(self, nums: List[int]) -> int: res = nums[0] cur = nums[0] for i in range(1, len(nums)):
【Leetcode】124. Binary Tree Maximum Path Sum(二叉树最大路径) Given a non-empty binary tree, find the maximum path sum. For this problem, a path is defined as any sequence of nodes from some starting node to any node in the tree along the parent-child ... ...
题目说明: The maximum sum subarray problem consists in finding the maximum sum of a contiguous subsequence in an array or list of integers: Easy case is when the list is made up of o...Maximum Subarray Sum Maximum Subarray Sum 题意 给你一个大小为N的数组和另外一个整数M。你的目标是找到...
In this case, max_so_far will be 6, which is the sum of the subarray [4, -1, 2, 1]. Code for Kadane’s Algorithm Let's go into the implementation of Kadane's algorithm for various languages after knowing how Kadane’s Algorithm actually works. C++ Java Python #include <algorithm...
} where $1≤i≤j≤K$. The Maximum Subsequence is the continuous subsequence which has the largest sum of its elements. For example, given sequence { -2, 11, -4, 13, -5, -2 }, its maximum subsequence is { 11, -4, 13 } with the largest sum being 20. ...