SME0300 - Numerical Analysis

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.

Nonlinear Equations, methods:

• Bisection;
• Linear Iterations;
• Newton's;
• Secants;
• Regula Falsi.

Nonlinear Equations' Systems, methods:

• Linear Iterations;
• Newton's.

Linear Equations' Systems, methods:

Exact Methods:

• Gaussian Elimination;
• Cholesky's.

Iterative Methods:

• Jacobi-Richardson's;
• Gauss-Seidel's.