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

Project Samples

Krylov.jl Screenshot 1

Project Activity

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Categories

Data Visualization

License

MIT License

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Krylov.jl Web Site

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Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-14
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