Algorithmic & Quantitative Interview Preparation

📌 Objective

This repository contains my optimized C++ solutions for standard algorithmic interview questions, primarily following the NeetCode 150 and Blind 75 roadmaps.

My focus is on writing clean, production-grade C++ code with strict attention to time and space complexity, memory management, and edge-case handling.

🧠 Methodology

Each solution in this repository is treated as a professional code submission. I prioritize:

• Optimal Big O Complexities: Avoiding brute-force nested loops in favor of Hash Maps, Two Pointers, and Sliding Window techniques.
• Modern C++ Standards: Utilizing std::unordered_map, std::vector, and standard library algorithms for efficient data retrieval.
• Documentation: Every file includes a header detailing the exact Time Complexity, Space Complexity, and a brief explanation of the algorithmic strategy.