LEADER 03583nam 22007215 450 001 9910299962603321 005 20251113204943.0 010 $a9781489980441 010 $a148998044X 024 7 $a10.1007/978-1-4899-8044-1 035 $a(OCoLC)871044688 035 $a(MiFhGG)GVRL6XKT 035 $a(CKB)3710000000083331 035 $a(MiAaPQ)EBC1636447 035 $a(MiFhGG)9781489980441 035 $a(DE-He213)978-1-4899-8044-1 035 $a(EXLCZ)993710000000083331 100 $a20140106d2014 u| 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aPost-Optimal Analysis in Linear Semi-Infinite Optimization /$fby Miguel A. Goberna, Marco A. López 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (x, 121 pages) $ccolor illustrations 225 1 $aSpringerBriefs in Optimization,$x2191-575X 300 $a"ISSN: 2190-8354." 300 $a"ISSN: 2191-575X (electronic)." 311 08$a9781489980434 311 08$a1489980431 320 $aIncludes bibliographical references and index. 327 $a1. Preliminaries on Linear Semi-Infinite Optimization -- 2. Modeling uncertain Linear Semi-Infinite Optimization problems -- 3. Robust Linear Semi-infinite Optimization -- 4. Sensitivity analysis -- 5. Qualitative stability analysis -- 6. Quantitative stability analysis. 330 $aPost-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization problems where the dimension of the decision space or the number of constraints is infinite. The authors compare the post-optimal analysis with alternative approaches to uncertain LSIO problems and provide readers with criteria to choose the best way to model a given uncertain LSIO problem depending on the nature and quality of the data along with the available software. This work also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed toward researchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics. 410 0$aSpringerBriefs in Optimization,$x2191-575X 606 $aOperations research 606 $aManagement science 606 $aComputer science 606 $aComputer programming 606 $aComputer software 606 $aOperations Research, Management Science 606 $aModels of Computation 606 $aProgramming Techniques 606 $aMathematical Software 615 0$aOperations research. 615 0$aManagement science. 615 0$aComputer science. 615 0$aComputer programming. 615 0$aComputer software. 615 14$aOperations Research, Management Science. 615 24$aModels of Computation. 615 24$aProgramming Techniques. 615 24$aMathematical Software. 676 $a004 700 $aGoberna$b Miguel A.$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721704 702 $aLo?pez$b Marco A. 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910299962603321 996 $aPost-Optimal Analysis in Linear Semi-Infinite Optimization$92532457 997 $aUNINA