Скачать или смотреть 🎈 Burst Balloons Problem | JavaScript Dynamic Programming Tutorial | LeetCode Solution

In this video, we solve the Burst Balloons problem using JavaScript. Learn how to maximize the coins collected by bursting balloons in an optimal order using Dynamic Programming and Interval DP techniques.

We’ll explain the step-by-step approach:

Adding padding to simplify boundary calculations

Using a DP table to store maximum coins for intervals

Computing the optimal last balloon to burst in each interval

Building up solutions from smaller intervals to the entire array

✨ What you’ll learn:

How to implement Burst Balloons problem in JavaScript

Dynamic Programming with intervals (Interval DP)

Optimizing subproblems to get the maximum coins

Example: [3,1,5,8] → Max coins = 167

📚 Example Usage:

console.log(maxCoins([3,1,5,8])); // Output: 167 console.log(maxCoins([1,5])); // Output: 10

💡 Perfect for LeetCode practice, coding interviews, and mastering advanced DP problems in JavaScript.


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