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On an Extension of Condition Number Theory to Non-Conic Convex Optimization

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dc.creator Freund, Robert M.
dc.creator Ordóñez, Fernando, 1970-
dc.date 2004-06-01T16:43:00Z
dc.date 2004-06-01T16:43:00Z
dc.date 2003-02
dc.date.accessioned 2013-10-09T02:39:40Z
dc.date.available 2013-10-09T02:39:40Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5404
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description The purpose of this paper is to extend, as much as possible, the modern theory of condition numbers for conic convex optimization: z* := minz ctx s.t. Ax - b Cy C Cx , to the more general non-conic format: z* := minx ctx (GPd) s.t. Ax-b E Cy X P, where P is any closed convex set, not necessarily a cone, which we call the groundset. Although any convex problem can be transformed to conic form, such transformations are neither unique nor natural given the natural description of many problems, thereby diminishing the relevance of data-based condition number theory. Herein we extend the modern theory of condition numbers to the problem format (GPd). As a byproduct, we are able to state and prove natural extensions of many theorems from the conic-based theory of condition numbers to this broader problem format.
dc.format 2161257 bytes
dc.format application/pdf
dc.language en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center
dc.relation Operations Research Center Working Paper;OR 365-03
dc.subject Condition number, convex optimization, conic optimization, duality, sensitivity analysis, perturbation theory.
dc.title On an Extension of Condition Number Theory to Non-Conic Convex Optimization
dc.type Working Paper


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