Matrix Algorithms: Rank, Determinant & Inverse (Python & Scheme)
This project was developed as part of my Software Engineering coursework at Braude College, where it received a grade of 90. It implements three fundamental matrix algorithms — Rank, Determinant, and Inverse — in both Python (NumPy) and Scheme (lists, vectors, and FLOMAT). The focus is on algorithmic efficiency, numerical stability, and performance trade-offs between functional programming and vectorized numerical computing.