Solving systems of linear equations using numerical methods - python

Code for reducing an nxn matrix into gauss-jordan form with row elementry operations.

An implementation of Gauss-Jordan method to solve systems of linear equations, developed in Python/Numpy.

The Gauss-Jordan Elimination and Ordinary Least Squares Linear Regression is carried out. Unit tests are provided for testing various test cases. Python libraries used are Numpy, Timeit, Unittest, Sklearn, Matplotlib.

A Python-based linear equation solver CLI application that allows a user to input a number of linear equations and choose any one of 4 numerical methods (Gaussian-elimination, LU decomposition, Gaussian-Jordan and Gauss-Seidel), along with their respective parameters, to solve the equations.

Desktop‑приложение для решения СЛАУ с графическим интерфейсом на PyQt6. Поддерживает методы Крамера, Гаусса и Гаусса‑Жордана.

You can enter any matrix and my code will solve it using Gauss Jordan Elimination method showing each step.

Métodos numéricos con python(Numpy, matplotlib, pandas)

Python Gauss-Jordan Algorithm: Solve linear equations and find matrix inverses with ease.

a program that solves linear system of equation using different methods (Gauss Elimination, Gauss Jordan, LU Decomposition, Gauss Seidel, Jacobi Iteration)

Linear Algebra Course Assignments at IISc, Bangalore

Algebra Linear System Solver Task, Second Year 1st Semester - UNI211T.

Implementation of well-known numerical methods.

Computing the optimized values using Simplex method