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From Brute Force to Optimal 🚀 | 100+ LeetCode Interview Problems Explained Cracking coding interviews is NOT about memorizing solutions — it’s about thinking like an engineer. In this video, I break down 100+ most important LeetCode interview problems, all implemented in Java, and explain how to systematically move from brute-force approaches ➜ optimized solutions. This video is a complete roadmap for mastering Data Structures & Algorithms (DSA) with real interview perspective. 🔍 What you’ll learn in this video: ✅ How to start with a naive solution and optimize step-by-step ✅ How to identify time & space bottlenecks (TLE issues) ✅ Which data structure to use and why ✅ How interviewers expect you to think, not just code 🧠 Core Topics Covered: 🔹 Dynamic Programming (DP) Longest Palindromic Substring Word Break & Word Break II Distinct Subsequences Maximum Subarray & Product Subarray Best Time to Buy & Sell Stock (I, II, III, IV) 🔹 Two Pointer Technique Two Sum II 3Sum & 3Sum Closest Container With Most Water Valid Palindrome 🔹 Graph & Tree Traversals (BFS / DFS) Word Ladder Combination Sum Palindrome Partitioning Path Sum Clone Graph 🔹 Bit Manipulation Single Number I & II Reverse Bits Binary Gap 🔹 Data Structures in Action Stack (Valid Parentheses, RPN, Tree Traversals) Queue (BFS problems) HashMap & HashSet (Two Sum, LRU Cache, Copy List) Linked List (Merge k Lists, Reorder List, Add Two Numbers) Arrays & Matrices (Rotate Array, Spiral Matrix, Set Matrix Zeroes) ⚙️ Interview-Ready Insights: ✔ Handling edge cases correctly ✔ Java-specific pitfalls (pass-by-value, immutability) ✔ Writing clean, readable, and optimized code ✔ Choosing interview-friendly solutions over overly complex ones 🎯 Perfect for: Software Engineer Interviews FAANG / MAANG Prep DSA Revision Java Developers LeetCode Practice If you want to stop guessing and start thinking optimally, this video is for you. 👉 Like, Share & Subscribe for daily coding & interview prep content 🚀