Knapsack Problem Explained in 5 Minutes (JS) - Dynamic Programming

In this video, we’re diving into the Knapsack Problem using JavaScript, explained in the simplest way possible. If you’re a beginner trying to understand how dynamic programming helps solve complex optimization problems, this is the perfect place to start. You don’t need to be an expert - we’ll walk through the logic step-by-step, write the code together, and explore how dynamic programming makes your solutions faster and smarter.

The Knapsack Problem is one of the most important classic problems every developer should know. Whether you're preparing for coding interviews, solving algorithm challenges, or just improving your JavaScript skills - this guide will give you a clear understanding in just 5 minutes.

🚀 What you’ll learn in this video:
🔹 How the Knapsack Problem works conceptually
🔹 Step-by-step JavaScript implementation using dynamic programming
🔹 How to build and fill a DP table
🔹 Why dynamic programming is powerful for optimization
🔹 Practical tips for writing clean and efficient code

⏱ Timeline:
0:00 – Introduction to the Knapsack Problem
0:39 – Understanding the problem setup
1:25 – Building the programming solution
3:59 – Testing the knapsack function
4:36 – Why dynamic programming is efficient
4:57 – Final thoughts and summary

🔥 If this video helped you understand the Knapsack Problem and dynamic programming, leave a like, drop a comment, and subscribe for more beginner-friendly tutorials!

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