krylov-subspace-methods

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.

High-performance Krylov subspace and preconditioned iterative solvers for dense and sparse linear systems

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

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.

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".

Experimental Krylov subspace solvers in Fortran/OpenMP focused on numerical stability, matrix-free methods and performance analysis.

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

A small collection of basic Krylov subspace methods to solve large (sparse) linear systems.

A modern Fortran package for solving large scale sparse linear systems with IDR(s)

AeroFVM — A Modular Finite-Volume CFD Solver in Modern C++. A modular CFD solver framework developed from first principles in C++17, implementing sparse linear algebra, iterative linear solvers, structured finite-volume discretization, field operations, matrix assembly, and validated canonical incompressible-flow solvers.

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

Iterative Algorithms for Reduced Subspace Operations

Assignment 2 of course Numerical Linear Algebra

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