LEADER 01262nam--2200421---450- 001 990003365100203316 005 20100126143833.0 010 $a88-8492-444-8 035 $a000336510 035 $aUSA01000336510 035 $a(ALEPH)000336510USA01 035 $a000336510 100 $a20100126d2006----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a<> qualità in azienda$easpetti procedurali ed economici$fEnrico Gonnella, Angela Tarabella 210 $aPisa$cPLUS, Pisa University Press$dcopyr. 2006 215 $a127 p.$cill.$d24 cm 225 2 $aDidattica e ricerca$iManuali 300 $aInclude bibl. alla fine di ogni capitolo 410 0$12001$aDidattica e ricerca. Manuali 454 1$12001 461 1$1001-------$12001 606 0 $aImpresa$xGestione$xQualità 606 0 $aControllo di qualità 676 $a658.4013 676 $a658.562 700 1$aGONNELLA,$bEnrico$f<1963->$0607035 701 1$aTARABELLA,$bAngela$0117767 801 0$aIT$bsalbc$gISBD 912 $a990003365100203316 951 $aP13 1085$bDISTRA 959 $aBK 969 $aDISTRA 979 $aDISTRA2$b90$c20100126$lUSA01$h1438 996 $aQualità in azienda$91123657 997 $aUNISA LEADER 01587nam0 22003493i 450 001 PUV0077408 005 20231121125608.0 010 $a0306425203 010 $a9781468452891$bSoftcover reprint 100 $a20141021d1988 ||||0itac50 ba 101 | $aeng 102 $aus 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aPossibility theory$ean approach to computerized processing of uncertainty$fDidier Dubois and Henri Prade$gwith the collaboration of Henri Farreny, Roger Martin-Clouaire and Claudette Testemale$gtranslated by E. F. Harding in association with 1. ed 210 $aNew York$aLondon$cPlenum Press$dcopyr. 1988 215 $aXVI, 263 p.$d24 cm. 500 10$aTheorie des possibilites: applications à la representation des connaissances en informatique$3PUV0082289$93613015 676 $a511.32$9$v21 700 1$aDubois$b, Didier$3TO0V040889$4070$012454 701 1$aPrade$b, Henri$3TO0V040890$4070$012457 702 1$aFarreny$b, Henri$3CFIV011070 702 1$aMartin-Clouaire$b, Roger$3PUVV050074 702 1$aTestemale$b, Claudette$3PUVV050075 801 3$aIT$bIT-01$c20141021 850 $aIT-FR0099 899 $aBiblioteca Area Ingegneristica$bFR0099 912 $aPUV0077408 950 0$aBiblioteca Area Ingegneristica$d 54DII 511 DUB$e 54VM 0000431185 VM barcode:BAIN003571. - Inventario:4626DVM$fA $h20040419$i20121204 977 $a 54 996 $aTheorie des possibilites: applications à la representation des connaissances en informatique$93613015 997 $aUNICAS LEADER 04784nam 22005775 450 001 9910254296603321 005 20200704065810.0 010 $a3-319-58356-5 024 7 $a10.1007/978-3-319-58356-3 035 $a(CKB)4100000001381568 035 $a(DE-He213)978-3-319-58356-3 035 $a(MiAaPQ)EBC5182414 035 $a(PPN)222228466 035 $a(EXLCZ)994100000001381568 100 $a20171204d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aContinuous Nonlinear Optimization for Engineering Applications in GAMS Technology /$fby Neculai Andrei 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXIV, 506 p. 68 illus., 66 illus. in color.) 225 1 $aSpringer Optimization and Its Applications,$x1931-6828 ;$v121 311 $a3-319-58355-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. Introduction -- 2. Mathematical modeling using algebraically oriented languages for nonlinear optimization -- 3. Introduction to GAMS technology -- 4. Applications of continuous nonlinear optimization -- 5. Optimality conditions for continuous nonlinear optimization -- 6. Simple bound constraint optimization -- 7. Penalty and augmented Langrangian methods -- 8. Penalty-Barrier Algorithm -- 9. Linearly Constrained Augmented Lagrangian -- 10. Quadratic programming -- 11. Sequential quadratic programming -- 12. A SQP Method using only Equalit Constrained Sub-problem -- 12. A Sequential Quadratic Programming Algorithm with Successive Error Restoration -- 14. Active-set Sequential Linear-Quadratic Programming -- 15. A SQP algorithm for Large-Scale Constrained Optimization -- 16. Generalized Reduced Gradient with sequential linearization -- 17. Interior point methods -- 18. Filter methods -- 19. Interior Point Sequential Linear-Quadratic Programming -- 20. Interior Point Filer Line-Search IPOPT -- 21. Numerical studies. 330 $aThis book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded in GAMS. Aimed toward scientists and graduate students who utilize optimization methods to model and solve problems in mathematical programming, operations research, business, engineering, and industry, this book enables readers with a background in nonlinear optimization and linear algebra to use GAMS technology to understand and utilize its important capabilities to optimize algorithms for modeling and solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear optimization methods, this book moves on to illustrate key aspects of mathematical modeling through modeling technologies based on algebraically oriented modeling languages. Next, the main feature of GAMS, an algebraically oriented language that allows for high-level algebraic representation of mathematical optimization models, is introduced to model and solve continuous nonlinear optimization applications. More than 15 real nonlinear optimization applications in algebraic and GAMS representation are presented which are used to illustrate the performances of the algorithms described in this book. Theoretical and computational results, methods, and techniques effective for solving nonlinear optimization problems, are detailed through the algorithms MINOS, KNITRO, CONOPT, SNOPT and IPOPT which work in GAMS technology. 410 0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v121 606 $aMathematical optimization 606 $aMathematical models 606 $aAlgorithms 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 615 0$aMathematical optimization. 615 0$aMathematical models. 615 0$aAlgorithms. 615 14$aOptimization. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aAlgorithms. 676 $a519.3 700 $aAndrei$b Neculai$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767620 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254296603321 996 $aContinuous Nonlinear Optimization for Engineering Applications in GAMS Technology$91563046 997 $aUNINA