Bounds on the opportunity cost of neglecting reoptimization in mathematical programming
dc.citation.epage | 1012 | en_US |
dc.citation.issueNumber | 7 | en_US |
dc.citation.spage | 1009 | en_US |
dc.citation.volumeNumber | 46 | en_US |
dc.contributor.author | Oğuz, O. | en_US |
dc.date.accessioned | 2016-02-08T10:37:58Z | |
dc.date.available | 2016-02-08T10:37:58Z | |
dc.date.issued | 2000 | en_US |
dc.department | Department of Industrial Engineering | en_US |
dc.description.abstract | Postoptimality or sensitivity analysis are well-developed subjects in almost all branches of mathematical programming. In this note, we propose a simple formula which can be used to get preliminary bounds on the value of this type of analysis for a specific class of mathematical programming problems. We also show that our bounds are tight. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T10:37:58Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2000 | en |
dc.identifier.doi | 10.1287/mnsc.46.7.1009.12041 | en_US |
dc.identifier.issn | 0025-1909 | |
dc.identifier.uri | http://hdl.handle.net/11693/25025 | |
dc.language.iso | English | en_US |
dc.publisher | INFORMS | en_US |
dc.relation.isversionof | https://doi.org/10.1287/mnsc.46.7.1009.12041 | en_US |
dc.source.title | Management Science | en_US |
dc.subject | Convergence of numerical methods | en_US |
dc.subject | Sensitivity analysis | en_US |
dc.subject | Postoptimality analysis | en_US |
dc.subject | Worst case analysis | en_US |
dc.subject | Mathematical programming | en_US |
dc.title | Bounds on the opportunity cost of neglecting reoptimization in mathematical programming | en_US |
dc.type | Article | en_US |
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