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Sparse Matrices in MATLAB: Design and Implementation
Abstract
The matrix computation language and environment MATLAB is extended to include sparse matrix storage and operations. The only change to the outward appearance of the MATLAB language is a pair of commands to create full or sparse matrices. Nearly all the operations of MATLAB now apply equally to full or sparse matrices, without any explicit action by the user. The sparse data structure represents a matrix in space proportional to the number of nonzero entries, and most of the operations compute sparse results in time proportional to the number of arithmetic operations on nonzeros.
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Cited by
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Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
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Chaturantabut, S., & Sorensen, D. C. (2010) · SIAM Journal on Scientific Computing · doi:10.1137/090766498 · Cited by 1,925
Classes of kernels for machine learning: a statistics perspective
Genton, M. G. (2002) · doi:10.5555/944790.944815 · Cited by 607
Coleman, T. F., & Li, Y. (1996) · SIAM Journal on Optimization · doi:10.1137/s1052623494240456 · Cited by 604
OSKI: A library of automatically tuned sparse matrix kernels
Vuduc, R., Demmel, J. W., & Yelick, K. A. (2005) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/16/1/071 · Cited by 490
Metadata
- Authors
- Gilbert, J. R., Moler, C., & Schreiber, R.
- Venue
- SIAM Journal on Matrix Analysis and Applications
- Published
- 1992-01
- Volume
- 13
- Issue
- 1
- Pages
- 333-356
- ISSN
- 0895-4798 (ISSN-L)
- 1095-7162
- OpenAlex
- W2007259720
- Cited by
- 591
- References
- 0
- FWCI
- 6.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gilbert, J. R., Moler, C., & Schreiber, R. (1992). Sparse Matrices in MATLAB: Design and Implementation. SIAM Journal on Matrix Analysis and Applications. https://doi.org/10.1137/0613024
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