Please use this identifier to cite or link to this item: https://doi.org/10.1080/10556780500098599
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dc.titleComputation of condition numbers for linear programming problems using Peña's method
dc.contributor.authorChai, J.-S.
dc.contributor.authorToh, K.-C.
dc.date.accessioned2014-10-28T02:32:24Z
dc.date.available2014-10-28T02:32:24Z
dc.date.issued2006-06-01
dc.identifier.citationChai, J.-S., Toh, K.-C. (2006-06-01). Computation of condition numbers for linear programming problems using Peña's method. Optimization Methods and Software 21 (3) : 419-443. ScholarBank@NUS Repository. https://doi.org/10.1080/10556780500098599
dc.identifier.issn10556788
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/103020
dc.description.abstractWe present the computation of the condition numbers for linear programming (LP) problems from the NETLIB suite. The method of Peña [Peña, J., 1998, Computing the distance to infeasibility: theoretical and practical issues. Technical report, Center for Applied Mathematics, Cornell University.] was used to compute the bounds on the distance to ill-posedness ?( d ) of a given problem instance with data d, and the condition number was computed as C ( d )?=?? d ?/?( d ). We discuss the efficient implementation of Peñas method and compare the tightness of the estimates on C ( d ) computed by Peñas method to that computed by the method employed by Ordóñez and Freund [Ordóñez, F. and Freund, R.M., 2003, Computational experience and the explanatory value of condition measures for linear optimization. SIAM Journal on Optimization, 14, 307-333.]. While Peñas method is generally much cheaper, the bounds provided are generally not as tight as those computed by Ordóñez and Freund. As a by-product, we use the computational results to study the correlation between log C ( d ) and the number of interior-point method iterations taken to solve a LP problem instance. Our computational findings on the preprocessed problem instances from NETLIB suite are consistent with those reported by Ordóñez and Freund.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/10556780500098599
dc.sourceScopus
dc.subjectComplexity
dc.subjectConic optimization
dc.subjectInterior-point methods
dc.subjectLinear programming
dc.subjectRenegar condition number
dc.typeArticle
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1080/10556780500098599
dc.description.sourcetitleOptimization Methods and Software
dc.description.volume21
dc.description.issue3
dc.description.page419-443
dc.description.codenOMSOE
dc.identifier.isiut000234634200006
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