If you use Krylov.jl in your work, please cite it using the metadata given in CITATION.cff.
Features
- All solvers in Krylov.jl have in-place version, are compatible with GPU and work in any floating-point data type
- Krylov can be installed and tested through the Julia package manager
- Generalized saddle-point and non-Hermitian partitioned systems
- Saddle-point and Hermitian quasi-definite systems
- Square or rectangular full-rank systems
- A Julia basket of hand-picked Krylov methods
Categories
Data VisualizationLicense
MIT LicenseFollow Krylov.jl
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