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: | 2009-06-14 |
| Author: | Tamara G. Kolda, Dianne P. O'Leary |
| Maintainer: | Eric Sun <esun at cs.stanford.edu> |
| License: | GPL-2 |
| CRAN checks: | sddpack results |
| Package source: | sddpack_0.9.tar.gz |
| MacOS X binary: | sddpack_0.9.tgz |
| Windows binary: | sddpack_0.9.zip |
| Reference manual: | sddpack.pdf |