From Brute Force to Optimal 🚀 | 100+ LeetCode Interview Problems Explained

Описание: 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.

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