This repository contains a Python implementation of the LU Decomposition method for solving systems of linear equations. The code reads coefficients from an Excel file (`read.xls`), performs LU Decomposition to factorize the matrix into lower and upper triangular matrices, and then solves the system of equations.

The projects of the course 191158510, Programming in Engineering, offered under self-study, at the University of Twente.

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.

A simple example of LU decomposition

Python scripts referring to methods of numerical analysis.

Лабораторные и курсовые работы по дисциплине "Вычислительная математика. Численные методы алгебры."

This project is focused on the implementation of various numerical algorithms for solving systems of equations. Its primary objective is to enable the user to practice and develop an understanding of the fundamentals of numerical multi-linear algebra.

Explanations about three projects of Linear Algebra course; including LU decompositions, denoising signals, and SVD decompositions

méthode numérique/gauss/gauss jordan/décomposition LU/python

Solving systems of linear equations using numerical methods - python

Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions

solving linear systems with direct and iterative algorithms

Solves system of linear equations using numerical methods

Python implementation of 1D Time-dependent Schroedinger Equation solver to study the adiabaticity of any 1D system.

Numerical Lab Assignment and Lab practice codes are here.

Implementation of several numerical algorithms

Matrix implementation that includes LU/LUP decomposition and solving basic linear equations