Maximum Subarray Optimized Solution | Kadane’s Algorithm Explained

Описание: 💻 In this video, we’ll solve the Maximum Subarray problem using Kadane’s Algorithm — one of the most efficient and elegant approaches in Dynamic Programming.

If you’ve already watched the Brute Force solution, this video will show you how to optimize it from O(n²) to O(n) with Kadane’s Algorithm.

🔍 What You’ll Learn:

What is Kadane’s Algorithm
How it improves performance from Brute Force
Step-by-step explanation with dry run
Detailed code walkthrough
Time and Space complexity analysis
Common mistakes in interviews

✅ Problem Statement:
Given an integer array nums, find the contiguous subarray (containing at least one number) that has the largest sum and return its sum.

Example:

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

📘 Related videos:
👉 Brutes force approach —    • Maximum Subarray Explained Using Brute For...  


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