Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

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.

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

Intro algorithms to iterative Krylov methods for solving large sparse systems

Hybrid-Incomplete-Factorization preconditioners with Iterative Refinements for KSP solvers.

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

Julia wrapper around a subset of AMGCL, an Algebraic Multigrid computational library

Parallel GMRES for solving sparse linear systems

Code to accompany: "Measurement-efficient quantum Krylov subspace diagonalisation".

Krylov Subspace Method Modules made by Ikuno labolatory in Tokyo University of Technology

We implemented 4 iterative methods in C++: Jacobi, Gauss-Seidel, Conjugate Gradient and GMRES

Assignment 2 of course Numerical Linear Algebra

MATLAB package for F(A)*b with F a Laplace transform or complete Bernstein function

Resilient CG implementation from "Exploiting asynchrony from exact forward recovery for DUE in iterative solvers" Jaulmes et al. SC'15. doi:10.1145/2807591.2807599

This repository is dedicated to the implementation of Krylov-based iterative methods for solving large sparse linear systems of equations derived from partial differential equations (PDEs).

modification of GMRES adapted from JuliaLinearAlgebra/IterativeSolvers.jl

Practical shift choice for Shift-And-Invert method