Homework for the Multiprocessor Structures course @ ACS, UPB 2020

Solver of a linear system with a symmetric and positive definite matrix that uses the block Cholesky decomposition and is optimised with the help of the MPI

Códigos do Projeto PICME sobre resolução de sistemas lineares.

a Hypothesis testbench for various implementations of Cholesky matrix decomposition

Comparison of different implementations of the Cholesky decomposition method on different open-source languages and Matlab, for the resolution of linear systems for sparse, symmetric and positive definite matrices.

A study of the implementation of the Cholesky method for the resolution of linear systems for sparse, symmetric and positive definite matrices. Comparison based on different open source programming environments and MATLAB implementation. Project for the Methods of Scientific Calculation course @unimib18/19.

Cholesky decomposition

C++ implementation of several mathematical techniques for solving large hollow systems

Applied Linear Algebra

Hand-made R Functions Mainly for Statistical Data Analysis

Comparison of open-source and proprietary software environments in solving the common problem of Matrix Decomposition

Python scripts referring to methods of numerical analysis.

Algorithms applied in solving mathematical problems for Computer Science

Intro to MATLAB

Project for the Numerical Linear Algebra course @{cse.uoi.gr, math.uoi.gr}

This is the final course project for linear algebra course, spring of 2022.

A java swing program performing the Choleski-Banachowicz decomposition algoritm on a matrix either loaded from file or inputted directly by the user

Cholesky decomposition implementation in Fortran using the Cholesky–Banachiewicz algorithm

Solver of a linear system with a symmetric and positive definite matrix that uses the Cholesky decomposition and is optimised with the help of the OpenMP.