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Galeri Matrix Generation Package

RESOURCE

Publicly Accessible Repository
https://github.com/trilinos/Trilinos
https://doi.org/10.11578/dc.20171025.1027

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Abstract

The Galeri package defines a collection of serial and distributed linear algebra objects to be used for software verification and validation. Galeri is used in several of the examples of the Amesos, IFPACK and ML packages, and in the Trilinos tutorial, Didasko. Galeri can be used for the generation of linear system with known propeties and data distribution for convergence analysis of interative solvers of Krylov type and domain decomposition and multigrid preconditioners.
Developers:
Release Date:
2006-08-17
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
Other (Commercial or Open-Source): https://ip.sandia.gov
Sponsoring Org.:
Code ID:
406
Site Accession Number:
3944
Research Org.:
Sandia National Laboratories
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/trilinos/Trilinos
https://doi.org/10.11578/dc.20171025.1027

SAVE / SHARE



SNL Badge

Citation Formats

Sala, Marzio. Galeri Matrix Generation Package. Computer Software. https://github.com/trilinos/Trilinos. USDOE. 17 Aug. 2006. Web. doi:10.11578/dc.20171025.1027.
Sala, Marzio. (2006, August 17). Galeri Matrix Generation Package. [Computer software]. https://github.com/trilinos/Trilinos. https://doi.org/10.11578/dc.20171025.1027.
Sala, Marzio. "Galeri Matrix Generation Package." Computer software. August 17, 2006. https://github.com/trilinos/Trilinos. https://doi.org/10.11578/dc.20171025.1027.
@misc{ doecode_406,
title = {Galeri Matrix Generation Package},
author = {Sala, Marzio},
abstractNote = {The Galeri package defines a collection of serial and distributed linear algebra objects to be used for software verification and validation. Galeri is used in several of the examples of the Amesos, IFPACK and ML packages, and in the Trilinos tutorial, Didasko. Galeri can be used for the generation of linear system with known propeties and data distribution for convergence analysis of interative solvers of Krylov type and domain decomposition and multigrid preconditioners.},
doi = {10.11578/dc.20171025.1027},
url = {https://doi.org/10.11578/dc.20171025.1027},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1027}},
year = {2006},
month = {aug}
}