💰 Coin Change Problem | JavaScript Dynamic Programming Solution | LeetCode Tutorial

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YouTube Excerpt: In this video, we solve the Coin Change problem using JavaScript. Learn how to calculate the minimum number of coins needed to make up a given amount using Dynamic Programming. We’ll explain step by step: Setting up a DP array to track the minimum coins for each amount Using a bottom-up approach to fill the array Handling cases where the amount cannot be formed Example: coins = [1,2,5], amount = 11 → Output = 3 ✨ What you’ll learn: Implement the Coin Change algorithm in JavaScript Solve problems efficiently using Dynamic Programming Optimize for large amounts with multiple coin denominations Example usage: console.log(coinChange([1,2,5], 11)); // Output: 3 console.log(coinChange([2], 3)); // Output: -1 console.log(coinChange([1], 0)); // Output: 0 💡 Perfect for LeetCode practice, coding interviews, and mastering DP algorithms in JavaScript. #JavaScript #CodingInterview #LeetCode #CoinChangeProblem #DynamicProgramming #Algorithm #Programming #CodingChallenge #JavaScriptCoding #DataStructures #CodingTheoryGuru #DSA #AlgorithmTutorial #WebDevelopment

In this video, we solve the Coin Change problem using JavaScript. Learn how to calculate the minimum number of coins needed to make up a given...

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