In many machine learning and numerical computing applications, we often need to solve systems of linear equations, compute matrix inverses, or factor matrices into simpler components for optimization ...

The program runs each method 100 times to measure average execution time and compares the performance against expected computational complexity. Cramer's Rule computes each variable xᵢ as the ratio ...