Leetcode 808 🔥 Soup Servings | Optimal DP + Probability Explained

In this video, we solve Leetcode 808 - Soup Servings using Dynamic Programming and memoization. Code: https://github.com/studyPlacement/CodeHub/blob/main/Solution808 Neetcode 150 Playlist: https://youtube.com/playlist?list=PLsLlEdtakGozrvhxZsPfvXavXYzX2GUig&feature=shared DP Playlist: https://youtube.com/playlist?list=PLsLlEdtakGoyNROP7uWS9OLLHs9_JluVM&feature=shared Sliding window Playlist: https://youtube.com/playlist?list=PLsLlEdtakGozlKx_L-5PQJO-ua_maQb6R&feature=shared Binary Search Playlist: https://youtube.com/playlist?list=PLsLlEdtakGozNxx5rfRgEW-1DYseLnDbV&feature=shared In this video, we solve Leetcode 808 - Soup Servings using Dynamic Programming and memoization. 🍲 **Problem Overview** Calculate the probability that soup A will become empty before soup B, or both empty at the same time (with a 0.5 probability). We walk step by step through: - Problem statement and examples - Greedy observations to simplify DP - Base cases and transition states - Full dry run for intuition ✅ **Approach** Dynamic Programming with memoization to optimize overlapping subproblems. 🔗 **Problem Link:** https://leetcode.com/problems/soup-servings/ 👍 Like the video and subscribe for daily coding challenges and DSA concepts! 💬 Drop your questions in the comments—I reply to everyone! #Leetcode #SoupServings #DynamicProgramming #DailyChallenge #CodingInterview #LeetcodeSolutions #DSA #Memoization #Probability Timestamps: 00:00 Introduction 00:20 Problem Statement 02:15 Intution 03:30 Recursive tree + Approach 10:00 Explanation by code 17:50 Dry run 20:05 Time and Space Complexity