Matrix decomposition and multiplication on the Cerebras Wafer-Scale Engine (WSE) architecture

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

Numerical Lab Assignment and Lab practice codes are here.

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

Implementation of several numerical algorithms

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

矩阵的LU分解的数值实验

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.

Solves system of linear equations using numerical methods

Implementação de métodos para resolver sistemas lineares (Decomposição LU, Gauss-Seidel) e realizar interpolação polinomial (Lagrange), para a disciplina de Cálculo Numérico 2018.1.

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

A simple example of LU decomposition

🧮 Python implementations of LU decomposition, least squares denoising, and SVD-based image compression.

Solving systems of linear equations using numerical methods - python

Compute LSU factorization of a matrix in PyTorch

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

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.

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.

Python scripts referring to methods of numerical analysis.