This project is a collection of reference implementations for algorithms, mathematics, cryptography, compression, and machine learning written in C#. It serves as an educational library providing standard implementations of sorting, searching, and graph theory algorithms.
The repository covers a wide range of computational domains, including combinatorial optimization for constraint satisfaction and scheduling, as well as symmetric and classical cryptographic ciphers. It also provides reference code for lossless data compression techniques and fundamental machine learning primitives such as regression, classification, and neural network activation functions.
Additional capabilities include comprehensive tools for number theory, linear algebra, and numerical calculus. The project also features utilities for graph theory analysis, geospatial coordinate calculations, image processing, and statistical analysis.
