C Plus Plus

Each implementation is documented to explain the algorithm's logic and complexity, making the repository a useful reference for students learning algorithmic problem-solving in C++.

The collection spans classical CS topics (binary search, BFS/DFS, Dijkstra's algorithm, Bellman-Ford, Fibonacci variations, matrix operations) through more advanced subjects (fast Fourier transform, computational geometry algorithms, number theory for cryptography, basic neural network backpropagation).

Implementations follow consistent code style and include comments that explain non-obvious steps, making them more accessible than typical competitive programming solutions that optimize for code brevity over readability.

Computer science students using C++ in their algorithms courses, competitive programmers building their reference library of clean implementations, and self-taught developers learning algorithmic problem-solving through implementation rather than purely reading use this repository.

The breadth across mathematics, ML basics, and physics makes it more comprehensive than purely algorithmic contest preparation resources, and the educational focus on clarity distinguishes it from production library code where performance-oriented patterns often obscure the underlying algorithmic ideas.