Calculo Numérico UNIFESP-SJC Engenharia Biomédica

This repository contains all the algorithms studied in discipline "Calculo Numerico" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are write in both MatLab and Python Languages. The programatric content of the discipline can be found here.

Getting Started

Prerequisites

To run the algorithms in this repo, you'll need to have either MatLab (or Octave) or Python 3 or both installed.

Algorithms

The algorithms studied in this discipline are divided in the folowing groups:

Finding Roots of univariable equations

Bissection rule
Newton rule
Secant rule

Nonlinear Systems of bivariable equations

Newton rule

Linear Systems of multivariable equations

Gaussian Elimination method
Gaussian Jacobi method
Gaussian Seidel method

Interpolation

Lagrangian method
Polinomial method
Divided differences method
Least Mean Squares method

Numerical Integration of univariable equations

Simpsom rule
Trapezoidal rule

Numerical EDO solver of bivariable equations

Euler rule
Runge-Kutta 2nd order
Runge-Kutta 4th order

Built With

Anaconda: Solutions for Data Science Practitioners and Enterprise Machine Learning.
MatLab: A software for numerical computation.
Gnu Octave: Scientific Programming Language.

awcasella/Calculo-Numerico-UNIFESP-SJC-EngBio