Rust sparse LU decomposition using Gilbert and Peierls method

Laboratory works on the course "Parallel Computing Technologies "

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

MultiPrecision Complex Algebra Implements

Solution of systems of linear algebraic equations based on LU - expansion of the coefficient matrix

Minimalistic implementations of various algorithms for projects in machine learning and computer vision

Numerical methods for solving a linear system

Math library

Linear Least Squares Regression with Eigen Dense Solver using QR decomposition and LU decomposition.

Numerical Lab Assignment and Lab practice codes are here.

System of linear equations solver using numerical analysis with simulation

Quadratic Equation Solver with Linear Algebra using LU and QR decomposition

Parallel implementation of LU decomposition

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.

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.

A simple matrix library written in Rust, with LU decomposition, equation solving, inversion and more.

C code bisection, gauss seidel, incremental search, jacobi Method , LU Decomposition, Newton_Raphson, Power Method, QR_Decomposition, regula_falsi Method, Simpson and Trapezoidal Integration

This is a repository where i put all of the implementation that i have done in numerical analysis.I have added four files and the methods are bisection,Gaussian,newton raphson and Lu decomposition.