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LinearSolve.jl is a unified interface for the linear solving packages of Julia. It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems, with options for large-scale systems. If you run into any performance issues, please file an issue.
Features
- Fast pure Julia LU factorizations which outperform standard BLAS
- KLU for faster sparse LU factorization on unstructured matrices
- UMFPACK for faster sparse LU factorization on matrices with some repeated structure
- MKLPardiso wrappers for handling many sparse matrices faster than SuiteSparse (KLU, UMFPACK) methods
- Wrappers to all of the Krylov implementations (Krylov.jl, IterativeSolvers.jl, KrylovKit.jl) for easy testing of all of them. LinearSolve.jl handles the API differences, especially with the preconditioner definitions
- A polyalgorithm that smartly chooses between these methods
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MIT LicenseFollow LinearSolve.jl
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