This repository serves as a personal archive for algorithmic problem-solving and data structure implementations. It tracks continuous progression and solutions submitted on the LeetCode platform.
Solutions are primarily implemented in:
- C++ (Focus on memory management, pointers, and high-performance execution)
- Python 3 (Focus on rapid prototyping and built-in advanced data structures)
- JavaScript / Node.js (Focus on asynchronous patterns and web-standard logic)
The repository is maintained autonomously. Solutions are structured individually by problem and typically contain:
- The source code solution
- Problem description and constraints
- Execution metrics (Time & Space complexity synced from the platform)
All implementations are written with a strict focus on system-level efficiency:
- Time Complexity: Optimized for minimal asymptotic bounds.
- Space Complexity: Emphasis on in-place modifications and optimal auxiliary space usage.
- Topics Covered: Arrays, Linked Lists, Two Pointers, Trees, Graphs, Dynamic Programming, and Advanced Algorithms.
This repository is maintained autonomously. Solutions are integrated and pushed in real-time upon successful submission on the platform using automated synchronization workflows. No manual indexing is required.
To test or benchmark solutions locally, use the following standard commands based on the file type:
C++
g++ -O3 -std=c++17 filename.cpp -o executable
./executablePython
python3 filename.pyJavaScript
node filename.js Rudranarayan Jena