Maximum subarray leetcode c++ tutorial

LeetCode - Minimum Size Subarray Sum (Java) Given an array of n positive integers and a positive integer s, find the minimal length of a subarray of which the sum ? s. If there isn't one, return 0 instead. LeetCode - Maximum Product Subarray (Java) Dynamic Programming - Maximum Subarray Problem by SJ · April 3, 2016 Objective: The maximum subarray problem is the task of finding the contiguous subarray within a one-dimensional array of numbers which has the largest sum. Determine a maximum subarray of the form A[i j+1] in constant time based on knowing a maximum subarray ending at index j." Answer First we need to figure out the maximum sub array ending at index j + 1 which could be just A[j + 1] or the maximum subarray ending at j plus A[j+1] , therefore we find the max of this two. A Simple Solution is to generate all subarrays of size k, compute their sums and finally return maximum of all sums. Time complexity of this solution is O(n*k) An Efficient Solution is based on the fact that sum of a subarray (or window) of size k can be obtained in O(1) time using sum of previous subarray (or window) of size k. Given an array of integers A, find the sum of min(B), where B ranges over every (contiguous) subarray of A. Since the answer may be large, return the answer modulo 10^9 + 7 . Example 1: Find the contiguous subarray within an array (containing at least one number) which has the largest product. For example, given the array [2,3,-2,4], the contiguous subarray [2,3] has the largest product = 6. Java Solution - Dynamic Programming. This is similar to maximum subarray. Instead of sum, the sign of number affect the product value. LeetCode Problems' Solutions . Contribute to haoel/leetcode development by creating an account on GitHub. The optimum C++ solutions for the leetcode. Contribute to hukai-sun/leetcode development by creating an account on GitHub. For example, given the array [?2,1,?3,4,?1,2,1,?5,4], the contiguous subarray [4,?1,2,1] has the la