# KrylovMethods.jl **Repository Path**: Julialang/KrylovMethods.jl ## Basic Information - **Project Name**: KrylovMethods.jl - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2018-03-12 - **Last Updated**: 2022-03-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README [![Build Status](https://travis-ci.org/lruthotto/KrylovMethods.jl.svg?branch=master)](https://travis-ci.org/lruthotto/KrylovMethods.jl) [![Build status](https://ci.appveyor.com/api/projects/status/tkn9ssik9n9vgdt2?svg=true)](https://ci.appveyor.com/project/lruthotto/krylovmethods-jl) [![Coverage Status](https://coveralls.io/repos/lruthotto/KrylovMethods.jl/badge.svg)](https://coveralls.io/r/lruthotto/KrylovMethods.jl) 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.