Iterative algorithms and their explicit forms to solve linear systems of the form Ax=b where A is a square matrix of R^nxn, x and b vectors of R^nx1. The algorithms are Jacobi, Gauss-Seidel, and SOR.
The code is written in Python inside a jupyter notebook. Download the file Basic Iterative Methods.ipynb and run it in your PC or in jupyter online.
I wanted to put the main iterative methods to solve linear systems with their explicit form in one place. We hope this notebook helps undergrads and graduate students.
Thanks to Dr. Pedro Merino for providing the theoretical resources and guidance to code the algorithms in Python.