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In this session, we dive deep into the Stack data structure, exploring its implementation, real-world applications, and how to crack common interview problems involving parentheses. We cover everything from basic validity checks to complex scenarios involving wildcard characters using greedy algorithms. 📄 Download the Class Notes (PDF): https://drive.google.com/file/d/1vVy_... Key Topics Covered: Stack implementation using Dynamic Lists vs. STL. Solving "Parenthesis Tasks" effectively. Prefix Sum and Greedy approaches. Finding Maximum Nesting Depth. Handling Wildcard characters in validity checks. ⏱️ Timestamps: 00:00:00 - Introduction: Stack Data Structure (LIFO) & State Management 00:01:28 - Implementation: Why use ArrayList/Vector over STL Stack? 00:02:46 - Real-World Applications (Undo/Redo, Browsers) 00:04:39 - Introduction to Parenthesis Problems 00:05:52 - Understanding Priority in Parsing 00:07:09 - Key Strategies: Prefix Sum & Greedy Algorithms 00:09:12 - Valid Parenthesis Check using Prefix Sum 00:10:38 - Handling Multiple Bracket Types with Stacks 00:15:04 - Pseudo-code & Using Sentinel Values 00:21:17 - Why Single Stack is Sufficient for Multiple Brackets 00:22:45 - Problem: Maximum Nesting Depth 00:29:47 - Problem: Minimum Adds/Removals to Make Valid 00:44:09 - How to Return the Balanced String 00:49:18 - Advanced: Validity with Wildcard Characters (*) 00:53:14 - Greedy Approach for Wildcards 00:59:53 - Balancing Brackets & The Partition Method 01:01:10 - Understanding Parity: Why Odd Balance is Impossible 01:07:59 - Code Logic: Interpreting 'Low' and 'High' Variables 01:23:29 - Stack-Based Approach for Wildcards 01:24:41 - Summary & Review of Validity Checks #DataStructures #Stack #Algorithms #CodingInterview #Programming #Java #CPP #ParenthesisProblem #GreedyAlgorithm