Symbiosis between Linear Algebra and Optimization
dc.contributor.author | O'Leary, Dianne P. | en_US |
dc.date.accessioned | 2004-05-31T22:57:42Z | |
dc.date.available | 2004-05-31T22:57:42Z | |
dc.date.created | 1999-05 | en_US |
dc.date.issued | 1999-05-28 | en_US |
dc.description.abstract | The efficiency and effectiveness of most optimization algorithms hinges on the numerical linear algebra algorithms that they utilize. Effective linear algebra is crucial to their success, and because of this, optimization applications have motivated fundamental advances in numerical linear algebra. This essay will highlight contributions of numerical linear algebra to optimization, as well as some optimization problems encountered within linear algebra that contribute to a symbiotic relationship. Also cross-referenced as UMIACS-TR-99-30 | en_US |
dc.format.extent | 203726 bytes | |
dc.format.mimetype | application/postscript | |
dc.identifier.uri | http://hdl.handle.net/1903/1012 | |
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-4023 | en_US |
dc.relation.ispartofseries | UMIACS; UMIACS-TR-99-30 | en_US |
dc.title | Symbiosis between Linear Algebra and Optimization | en_US |
dc.type | Technical Report | en_US |