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Sun 12 Sep 2021

Maximum Subarray

Tags: programming leetcode code dp

There's an interesting problem I recently solved on leetcode based on dynamic programming. My Github repository contains list of all problems that I have solved. I often start with a brute force approach without fretting about time complexity. Later I try to improve my algorithm for a better efficient solution.

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.1

Brute force algorithm

We can commence with a brute force algorithm. For every element of array, we compare its sum with the rest of the element to calculate maximum sum.

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Time complexity is O(n2) and has Time Limit Exceeded on leetcode.

More efficient solution

We can use Kadane algorithm to solve. It scans the given array A[1..n] from left to right. In the jth step, it computes the subarray with the largest sum ending at j; this sum is maintained in variable cSum. It computes the subarray with the largest sum anywhere in A[1..j], maintained in variable oSum;

The time complexity is O(n).


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