Determining Rank in the Presence of Error
| dc.contributor.author | Stewart, G. W. | en_US |
| dc.date.accessioned | 2004-05-31T22:22:33Z | |
| dc.date.available | 2004-05-31T22:22:33Z | |
| dc.date.created | 1992-10 | en_US |
| dc.date.issued | 1998-10-15 | en_US |
| dc.description.abstract | The problem of determining rank in the presence of error occurs in a number of applications. The usual approach is to compute a rank-revealing decomposition and make a decision about the rank by examining the small elements of the decomposition. In this paper we look at three commonly use decompositions: the singular value decomposition, the pivoted QR decomposition, and the URV decomposition. (Also cross-referenced as UMIACS-TR-92-108) | en_US |
| dc.format.extent | 174629 bytes | |
| dc.format.mimetype | application/postscript | |
| dc.identifier.uri | http://hdl.handle.net/1903/573 | |
| dc.language.iso | en_US | |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
| dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
| dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
| dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |
| dc.relation.ispartofseries | UM Computer Science Department; CS-TR-2972 | en_US |
| dc.relation.ispartofseries | UMIACS; UMIACS-TR-92-108 | en_US |
| dc.title | Determining Rank in the Presence of Error | en_US |
| dc.type | Technical Report | en_US |