The semidiscrete decomposition (SDD) approximates a matrix as a weighted sum of outer products formed by vectors with entries constrained to be in the set {-1, 0, 1}.
| Version: | 0.9 |
| Published: | 2012-10-29 |
| Author: | Tamara G. Kolda, Dianne P. O'Leary |
| Maintainer: | Eric Sun <esun at cs.stanford.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | sddpack results |
| Reference manual: | sddpack.pdf |
| Package source: | sddpack_0.9.tar.gz |
| Windows binaries: | r-devel: sddpack_0.9.zip, r-release: sddpack_0.9.zip, r-oldrel: sddpack_0.9.zip |
| macOS binaries: | r-release: sddpack_0.9.tgz, r-oldrel: sddpack_0.9.tgz |
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