Maximum Subarray – From Brute Force to Optimal | Kadane’s Algorithm Explained | C++, Java, Python

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Автор: RisingBrain

Загружено: 2026-03-12

Просмотров: 583

Описание: In this video, we solve the Maximum Subarray problem step by step, starting from the brute force approach and then moving towards the optimal solution using Kadane’s Algorithm.

First, we understand the brute force idea where we check every possible subarray and calculate its sum. Then we see why this approach becomes inefficient for large inputs.

After that, we build the intuition for Kadane’s Algorithm and understand how we can track the maximum subarray sum in a single pass.

In this video we cover:
Brute force approach and its time complexity
Better intuition to avoid recalculating sums
Understanding Kadane’s Algorithm
Why resetting the sum works
Clean implementation in C++, Java, and Python

This is one of the most important array problems and is frequently asked in coding interviews.

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Maximum Subarray – From Brute Force to Optimal | Kadane’s Algorithm Explained | C++, Java, Python

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