MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

An implementation of HPL-AI Mixed-Precision Benchmark based on hpl-2.3

A simple C++ library of Krylov subspace methods for solving linear systems

Intro algorithms to iterative Krylov methods for solving large sparse systems

GMRES algorithm implementation for the numerical solution of an indefinite non-symmetric system of linear equations.

ITerative SOLvers package

a matrix library for solving linear equations based on c++17.

A collection of Krylov Subspace-Based Adaptive Solvers (KrySBAS) written in MATLAB

GMRES in rust using faer

Parallel GMRES for solving sparse linear systems

Core part of HPL-AI implementation based on HPL-2.3. For the complete version of our HPL-AI benchmark, please go to the following site.

Sandbox for random tests

Some numerical algorithms implemented in C ++ language and Matlab language.

A sparse linear system solver using the GMRES iterative method

Restarted GMRES

C# inplementation of generalized minimal residual method (GMRES) based on Math.NET Numerics library.

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

Some results of my research on the BiCGSTAB and GMRES methods for calculating sparse systems and fields using Fortran

GMRES algorithm to numerically solve matrices. Made with a custom CRS / sparse matrix lib.