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The University of Florida sparse matrix collection (1997)
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| Venue: | NA DIGEST |
| Citations: | 534 - 17 self |
BibTeX
@ARTICLE{Davis97theuniversity,
author = {Timothy A. Davis},
title = {The University of Florida sparse matrix collection },
journal = {NA DIGEST},
year = {1997}
}
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Abstract
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growing set of sparse matrices that arise in real applications. Its matrices cover a wide spectrum of problem domains, both those arising from problems with underlying 2D or 3D geometry (structural engineering, computational fluid dynamics, model reduction, electromagnetics, semiconductor devices, thermodynamics, materials, acoustics, computer graphics/vision, robotics/kinematics, and other discretizations) and those that typically do not have such geometry (optimization, circuit simulation, networks and graphs, economic and financial modeling, theoretical and quantum chemistry, chemical process simulation, mathematics and statistics, and power networks). The collection meets a vital need that artificially-generated matrices cannot meet, and is widely used by the sparse matrix algorithms community for the development and performance evaluation of sparse matrix algorithms. The collection includes software for accessing and managing the collection, from MATLAB, Fortran, and C.
Keyphrases
florida sparse matrix collection sparse matrix financial modeling artificially-generated matrix cannot meet quantum chemistry model reduction power network circuit simulation structural engineering sparse matrix algorithm problem domain semiconductor device real application performance evaluation vital need computational fluid dynamic computer graphic vision wide spectrum robotics kinematics chemical process simulation
