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https://github.com/JuliaInv/KrylovMethods.jl

Simple and fast Julia implementation of Krylov subspace methods for linear systems.
https://github.com/JuliaInv/KrylovMethods.jl

Last synced: about 2 months ago
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Simple and fast Julia implementation of Krylov subspace methods for linear systems.

Host: GitHub
URL: https://github.com/JuliaInv/KrylovMethods.jl
Owner: JuliaInv
License: mit
Created: 2013-12-10T00:55:37.000Z (almost 11 years ago)
Default Branch: master
Last Pushed: 2020-09-27T13:37:49.000Z (almost 4 years ago)
Last Synced: 2024-07-10T17:44:42.028Z (2 months ago)
Language: Jupyter Notebook
Homepage:
Size: 216 KB
Stars: 45
Watchers: 8
Forks: 9
Open Issues: 3
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome-sciml - JuliaInv/KrylovMethods.jl: Simple and fast Julia implementation of Krylov subspace methods for linear systems.

README

        [![Build Status](https://travis-ci.org/JuliaInv/KrylovMethods.jl.svg?branch=master)](https://travis-ci.org/JuliaInv/KrylovMethods.jl)

[![Build status](https://ci.appveyor.com/api/projects/status/rcwxarativdkwbwp?svg=true)](https://ci.appveyor.com/project/lruthotto/krylovmethods-jl-qowll)

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KrylovMethods.jl

=========================

Released under the [MIT License](https://github.com/lruthotto/KrylovMethods.jl/blob/master/LICENSE).

Simple and fast Julia implementation of Krylov subspace methods for linear systems.

## Goals and Guidelines

The main goal of this package is to derive simple and fast implementation of the most useful Krylov subspace methods.

Our main objectives are:

- **speed**: where try to minimize allocation costs and maximize the use of BLAS routines,

- **memory efficiency**: storing temporary variables and re-allocations are avoided,

- **generality**: where possible complex systems are supported,

- **reliability**: unit tests are provided.