LEADER 04306nam  22007335  450 
001 9910298547403321
005 20250930134625.0
010   $a1-4614-7630-5
024 7 $a10.1007/978-1-4614-7630-6
035   $a(CKB)3710000000078538
035   $a(EBL)1398244
035   $a(SSID)ssj0000962898
035   $a(PQKBManifestationID)11511702
035   $a(PQKBTitleCode)TC0000962898
035   $a(PQKBWorkID)10976250
035   $a(PQKB)11715340
035   $a(DE-He213)978-1-4614-7630-6
035   $a(MiAaPQ)EBC6311693
035   $a(MiAaPQ)EBC1398244
035   $a(Au-PeEL)EBL1398244
035   $a(CaPaEBR)ebr10966125
035   $a(OCoLC)853676059
035   $a(PPN)172419573
035   $a(EXLCZ)993710000000078538
100   $a20130715d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aLinear Programming $eFoundations and Extensions /$fby Robert J Vanderbei
205   $a4th ed. 2014.
210  1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d2014.
215   $a1 online resource (421 p.)
225 1 $aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v196
300   $aDescription based upon print version of record.
311 08$a1-4899-7376-1 
311 08$a1-4614-7629-1 
327   $aIntroduction -- The Simplex Method -- Degeneracy -- Efficiency of the Simplex Method -- Duality Theory -- The Simplex Method in Matrix Notation -- Sensitivity and Parametric Analyses -- Implementation Issues -- Problems in General Form -- Convex Analysis -- Game Theory -- Regression -- Financial Applications -- Network-Type Problems -- Applications -- Structural Optimization -- The Central Path -- A Path-Following Method -- The KKT System -- Implementation Issues -- The Affine-Scaling Method -- The Homogeneous Self-Dual Method -- Integer Programming -- Quadratic Programming -- Convex Programming.
330   $aThis Fourth Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Readers will discover a host of practical business applications as well as non-business applications. Topics are clearly developed with many numerical examples worked out in detail. Specific examples and concrete algorithms precede more abstract topics. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered, including the two-phase simplex method, primal-dual simplex method, path-following interior-point method, and homogeneous self-dual methods. In addition, the author provides online JAVA applets that illustrate various pivot rules and variants of the simplex method, both for linear programming and for network flows. These C programs and JAVA tools can be found on the book's website. The website also includes new online instructional tools and exercises.
410  0$aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v196
606   $aOperations research
606   $aDecision making
606   $aManagement science
606   $aMathematical optimization
606   $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000
606   $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024
606   $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008
615  0$aOperations research.
615  0$aDecision making.
615  0$aManagement science.
615  0$aMathematical optimization.
615 14$aOperations Research/Decision Theory.
615 24$aOperations Research, Management Science.
615 24$aOptimization.
676   $a519.6
700   $aVanderbei$b Robert J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0116989
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298547403321
996   $aLinear programming$9415765
997   $aUNINA