This repository aim to provide with an easy-to-use library to solve non-linear systems of equations.

(Class) Computer Aided Analysis and Design (Optiomisation algorithms)

The code solves a nonlinear system using Newton-Raphson and Broyden's methods, then writes the solutions and iteration counts to a Python file, "solutions.py".

This repository contains the codes of mathematical and statistical methods like Interpolation, Guass Jacobi, Guass Jordan, etc. that I coded in C as a part of course MA403 Probability, Statistics, and Numerical Analysis.