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In this post, you will find the solution for the ** Maximum Subarray **

**in C++, Java & Python-LeetCode problem**. We are providing the

**correct and tested solutions**to coding problems present on

**LeetCode**. If you are not able to solve any problem, then you can take help from our Blog/website.

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** Link for the Problem** –

**Maximum Subarray**– LeetCode Problem

Maximum Subarray – LeetCode Problem

**Problem:**

Given an integer array `nums`

, find the contiguous subarray (containing at least one number) which has the largest sum and return *its sum*.

A **subarray** is a **contiguous** part of an array.

**Example 1:**

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

**Example 2:**

Input:nums = [1]Output:1

**Example 3:**

Input:nums = [5,4,-1,7,8]Output:23

**Constraints:**

`1 <= nums.length <= 10`

^{5}`-10`

^{4}<= nums[i] <= 10^{4}

Maximum Subarray– LeetCode Solutions

Maximum Subarray in C++:

class Solution { public: int maxSubArray(vector<int>& nums) { int ans = INT_MIN; int sum = 0; for (const int num : nums) { sum += num; ans = max(ans, sum); sum = max(sum, 0); } return ans; } };

Maximum Subarray in Java:

class Solution { public int maxSubArray(int[] nums) { int ans = Integer.MIN_VALUE; int sum = 0; for (final int num : nums) { sum += num; ans = Math.max(ans, sum); sum = Math.max(sum, 0); } return ans; } }

Maximum Subarray in Python:

class Solution: def maxSubArray(self, nums: List[int]) -> int: ans = -inf summ = 0 for num in nums: summ += num ans = max(ans, summ) summ = max(summ, 0) return ans