LeetCode Solutions & C++/Java Practice Repository

Welcome to my LeetCode Solutions repository! This project documents my ongoing journey in mastering Data Structures, Algorithms, and C++ Standard Template Library (STL) or Java Generics and Collections, through competitive programming.

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💡 Repository Philosophy (Illustrated considering CPP)

As this repository continuously grows with new practice problems, solutions follow a standardized structure:

1. Human / Intuitive Solution (problem-X.cpp):
   • Written by me (Human).
   • Focuses on readability, direct intuition, and fundamental algorithmic logic.
2. Optimized Solution (problem-X-opt.cpp):
   • Developed after studying and taking hints from AI.
   • Focuses on optimal time & space complexity, memory layout efficiency, and advanced C++ STL techniques.
3. Problem Documentation (README.md):
   • Each problem directory includes a README.md comparing both human and optimized solutions.

Note on AI & LLM Assistance:

• All source file documentations and Doxygen comments are generated using LLM / AI.
• Optimized code variants (*-opt.cpp) were implemented after studying algorithmic hints provided by AI.
• Standard code variants (*.cpp) represent original human logic, i.e. my own coding logic.

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📁 Repository Organization Guidelines

This repository is organized logically by topic and problem number to scale cleanly:

• General Problems: p<problem_number>/ (e.g., p1/)
• STL / Topic-specific Problems: stl/<container>/p<problem_number>/ (e.g., stl/vector/p1920/)
• File Naming Standard:
  • problem-<ID>.cpp: Standard human-written implementation.
  • problem-<ID>-opt.cpp: AI-assisted optimized implementation.
  • README.md: Problem statement, complexity analysis, and comparison table.

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🛠️ Compilation & Execution

All solution files are self-contained and include a runnable main() function with sample test cases. You can compile and execute any solution file using g++ (C++11 or newer), and from Java 8 and above:

# General Compilation Command
g++ -std=c++11 -O2 path/to/problem-file.cpp -o solution

# Execute Binary
./solution

# Java Compilation
javac path/to/problem-file.java

# Execute
java path/to/problem-file

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🎯 Personal Goals

• Build deep mastery over C++ STL containers, Java Collection Classes and algorithms.
• Systematically optimize time and space complexity for complex algorithmic challenges.
• Maintain clean, documented, and scalable code standards across all solutions.

NOTE: Practicing DSA and Algorithms using strict OOP environments aids both, application of algorithms and data structures, as well as develops skills in object-oriented approach. These practically run the tech industry!