Скачать или смотреть LeetCode 322. Coin Change 💰 | BruteForce to Dynamic Programming Approaches Explained with Basics! 🚀

Welcome back to Hack Code! In this video, we’ll walk through an important problem for coding interviews: Coin Change from LeetCode. This problem revolves around finding the minimum number of coins needed to make up a certain amount using a given set of coin denominations.

This problem is crucial for developing dynamic programming (DP) skills, which are key to solving optimization-based challenges. We’ll discuss three approaches:

✨ Brute Force (Exhaustive Search)
✨ Top-Down (Memoization)
✨ Bottom-Up (Tabulation)

So sit back, relax, and let’s dive in!

🔑 Key Steps Covered:
✅ Brute Force method with time complexity O(2^n)
✅ Top-Down Dynamic Programming with memoization O(n * k)
✅ Bottom-Up Dynamic Programming with tabulation O(n * k)

We’ll break down each method step-by-step, ensuring you grasp the concepts and techniques needed to tackle the Coin Change problem confidently. Plus, we’ll include illustrative examples and diagrams to visualise the recursive subproblems. 📊

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Let’s get started and conquer the Coin Change problem together! 🪙💪

LeetCode Blind 75 DSA Sheet: https://docs.google.com/spreadsheets/...

LeetCode Blind 75 Playlist:    • 🚀 Placement Mastery Series: Ace Your Tech ...  

TimeStamps
0:00 Welcome!
0:08 Problem Statement
2:50 About Blind 75!
3:18 Approach 1: Brute Force (Exhaustive Search) - O(2^n)
9:35 Recursion Stack
10:46 Approach 2: Top-Down (Memoization) - O(n * k)
14:00 Approach 3: Bottom-Up (Tabulation) - O(n * k)
19:47 Outro

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