Repository for the Numerical Analysis course offered for electronic engineering undergraduates at EESC - USP, by professor Maria Luísa Bambozzi.
This repository contains numerical methods for finding solutions of a nonlinear equation, as well as nonlinear and linear equations' systems. In order to use it, you must've SymPy installed and run the main.py file.
- Bisection;
- Linear Iterations;
- Newton's;
- Secants;
- Regula Falsi.
- Linear Iterations;
- Newton's.
- Gaussian Elimination;
- Cholesky's.
- Jacobi-Richardson's;
- Gauss-Seidel's.