Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5540
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dc.creatorCai, Zhi-
dc.creatorFreund, Robert M.-
dc.date2004-09-14T18:11:56Z-
dc.date2004-09-14T18:11:56Z-
dc.date2004-09-13-
dc.date.accessioned2013-10-09T02:39:56Z-
dc.date.available2013-10-09T02:39:56Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/5540-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionWe evaluate the practical relevance of two measures of conic convex problem complexity as applied to second-order cone problems solved using the homogeneous self-dual (HSD) embedding model in the software SeDuMi. The first measure we evaluate is Renegar’s data-based condition measure C(d), and the second measure is a combined measure of the optimal solution size and the initial infeasibility/optimality residuals denoted by S (where the solution size is measured in a norm that is naturally associated with the HSD model). We constructed a set of 144 secondorder cone test problems with widely distributed values of C(d) and S and solved these problems using SeDuMi. For each problem instance in the test set, we also computed estimates of C(d) (using PeË na’s method) and computed S directly. Our computational experience indicates that SeDuMi iteration counts and log(C(d)) are fairly highly correlated (sample correlation R = 0.676), whereas SeDuMi iteration counts are not quite as highly correlated with S (R = 0.600). Furthermore, the experimental evidence indicates that the average rate of convergence of SeDuMi iterations is affected by the condition number C(d) of the problem instance, a phenomenon that makes some intuitive sense yet is not directly implied by existing theory.-
dc.descriptionThis research has been partially supported through the MIT-Singapore Alliance-
dc.format232591 bytes-
dc.formatapplication/pdf-
dc.languageen_US-
dc.publisherMassachusetts Institute of Technology, Operations Research Center-
dc.relationOperations Research Center Working Paper Series;OR 371-04-
dc.titleOn Two Measures of Problem Instance Complexity and Their Correlation with the Performance of SeDuMi on Second-Order Cone Problems-
dc.typeWorking Paper-
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