Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5256
Full metadata record
DC FieldValueLanguage
dc.contributorFreund, Robert M.-
dc.date2004-05-28T19:30:22Z-
dc.date2004-05-28T19:30:22Z-
dc.date2001-
dc.date.accessioned2013-10-09T02:38:39Z-
dc.date.available2013-10-09T02:38:39Z-
dc.date.issued2013-10-09-
dc.identifierhttp://papers2.ssrn.com/paper.taf?ABSTRACT%5FID=288134-
dc.identifierhttp://hdl.handle.net/1721.1/5256-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionOur 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.descriptionRobert M. Freund.-
dc.descriptionAbstract in HTML and working paper for download in PDF available via World Wide Web at the Social Science Research Network.-
dc.descriptionTitle from cover. "September 2001."-
dc.descriptionIncludes bibliographical references (leaf 29).-
dc.format29 leaves-
dc.format1483558 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Operations Research Center-
dc.relationOperations Research Center Working Paper;OR 358-01-
dc.rightshttp://papers2.ssrn.com/paper.taf?ABSTRACT%5FID=288134-
dc.titleComplexity of convex optimization using geometry-based measures and a reference point-
Appears in Collections:MIT Items

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.