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DC Field | Value | Language |
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dc.contributor | Freund, Robert M. | - |
dc.date | 2004-05-28T19:30:22Z | - |
dc.date | 2004-05-28T19:30:22Z | - |
dc.date | 2001 | - |
dc.date.accessioned | 2013-10-09T02:38:39Z | - |
dc.date.available | 2013-10-09T02:38:39Z | - |
dc.date.issued | 2013-10-09 | - |
dc.identifier | http://papers2.ssrn.com/paper.taf?ABSTRACT%5FID=288134 | - |
dc.identifier | http://hdl.handle.net/1721.1/5256 | - |
dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
dc.description | Our concern lies in solving the following convex optimization problem: minimize cx subject to Ax=b, x \in P, where P is a closed convex set. We bound the complexity of computing an almost-optimal solution of this problem in terms of natural geometry-based measures of the feasible region and the level-set of almost-optimal solutions, relative to a given reference point xr that might be close to the feasible region and/or the almost-optimal level set. This contrasts with other complexity bounds for convex optimization that rely on data-based condition numbers or algebraic measures, and that do not take into account any a priori reference point information. Keywords: Convex Optimization, Complexity, Interior-Point Method, Barrier Method. | - |
dc.description | Robert M. Freund. | - |
dc.description | Abstract in HTML and working paper for download in PDF available via World Wide Web at the Social Science Research Network. | - |
dc.description | Title from cover. "September 2001." | - |
dc.description | Includes bibliographical references (leaf 29). | - |
dc.format | 29 leaves | - |
dc.format | 1483558 bytes | - |
dc.format | application/pdf | - |
dc.language | eng | - |
dc.publisher | Massachusetts Institute of Technology, Operations Research Center | - |
dc.relation | Operations Research Center Working Paper;OR 358-01 | - |
dc.rights | http://papers2.ssrn.com/paper.taf?ABSTRACT%5FID=288134 | - |
dc.title | Complexity of convex optimization using geometry-based measures and a reference point | - |
Appears in Collections: | MIT Items |
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