-
Updated
Mar 7, 2017 - C++
krylov-methods
Here are 19 public repositories matching this topic...
Fitting STAR models using MCMC methods and Krylov subspace methods
-
Updated
May 22, 2018 - C++
Reference implementations of SBCGrQ and other Block Conjugate-Gradient iterative Krylov solvers in C++/Eigen
-
Updated
Sep 24, 2018 - C++
Fortran/Python linear algebra utilities
-
Updated
Oct 31, 2018 - Fortran
Research library for compile time optimization
-
Updated
Dec 16, 2018 - C++
-
Updated
Mar 18, 2019
In this project I implement a CUDA Lanczos method to approximate the matrix exponential. The matrix exponential is an important centrality measure for large, sparse graphs.
-
Updated
Sep 16, 2021 - Cuda
Intro algorithms to iterative Krylov methods for solving large sparse systems
-
Updated
Feb 16, 2022 - MATLAB
modification of GMRES adapted from JuliaLinearAlgebra/IterativeSolvers.jl
-
Updated
Aug 2, 2022 - Julia
Assignments for CMA course from the BSU
-
Updated
Aug 7, 2022 - Python
MATLAB package for F(A)*b with F a Laplace transform or complete Bernstein function
-
Updated
Nov 16, 2023 - MATLAB
A very high order FVM framework
-
Updated
Apr 14, 2024 - C++
Julia package for periodic Schur decompositions of matrix products
-
Updated
Apr 16, 2024 - Julia
The user friendly randomized numerical linear algebra package
-
Updated
Jul 3, 2024 - Python
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.
-
Updated
Jul 29, 2024 - Julia
Propagators for Quantum Dynamics and Optimal Control
-
Updated
Sep 25, 2024 - Julia
Numerical linear algebra software package
-
Updated
Oct 7, 2024 - C++
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
-
Updated
Oct 5, 2024 - Julia
Improve this page
Add a description, image, and links to the krylov-methods topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the krylov-methods topic, visit your repo's landing page and select "manage topics."