leetcode 53 - Maximum Subarray | Optimal Approach in JAVA. скачать в хорошем качестве

leetcode 53 - Maximum Subarray | Optimal Approach in JAVA.

Maximum Subarray – Kadane’s Algorithm (LeetCode 53) The problem is to find the contiguous subarray within an array that has the largest possible sum. Algorithm (in words): Start with two variables: one to store the current subarray sum and one to store the maximum sum found so far. Traverse the array from left to right. For each element, decide whether to add it to the current subarray or start a new subarray beginning at that element (whichever gives a larger sum). Update the maximum sum whenever the current subarray sum becomes larger than the previously recorded maximum. At the end of the traversal, the maximum sum variable holds the largest subarray sum. Time Complexity: O(n) Space Complexity: O(1)