Sparse Matrix Compression efficiently stores and manages sparse matrices using linked lists and arrays. It supports insertion, deletion, search, updates, and CSV-based storage while optimizing memory usage.

A comprehensive C++ matrix algebra library built while studying MITOCW 18.06 (Linear Algebra), featuring matrix arithmetic, property detection + storage compression, Gaussian elimination, LU/QR/SVD factorizations, inversion, eigen computations, least-squares/projection tools, and even FFT support also supports complex matrices.