Articles liés à Mixed Integer Nonlinear Programming
Synopsis
Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners -- including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers -- are interested in solving large-scale MINLP instances.
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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2011
- ISBN 10 1461419263
- ISBN 13 9781461419266
- ReliureRelié
- Langueanglais
- Nombre de pages692
- ÉditeurLee Jon, Leyffer Sven
- Coordonnées du fabricantnon disponible
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Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154)
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Springer, 2011
ISBN 10 : 1461419263
ISBN 13 : 9781461419266
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Mixed Integer Nonlinear Programming
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Springer New York, 2011
ISBN 10 : 1461419263
ISBN 13 : 9781461419266
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Mixed Integer Nonlinear Programming (eng)
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Mixed Integer Nonlinear Programming
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Springer New York, Chapman And Hall/CRC Dez 2011, 2011
ISBN 10 : 1461419263
ISBN 13 : 9781461419266
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners - including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers - are interested in solving large-scale MINLP instances. 712 pp. Englisch. N° de réf. du vendeur 9781461419266
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Mixed Integer Nonlinear Programming
Edité par
Springer New York, Springer New York Dez 2011, 2011
ISBN 10 : 1461419263
ISBN 13 : 9781461419266
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ¿ including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ¿ are interested in solving large-scale MINLP instances.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 712 pp. Englisch. N° de réf. du vendeur 9781461419266
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Mixed Integer Nonlinear Programming
Edité par
Springer New York, Springer New York, 2011
ISBN 10 : 1461419263
ISBN 13 : 9781461419266
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners - including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers - are interested in solving large-scale MINLP instances. N° de réf. du vendeur 9781461419266
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Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154)
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Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154)
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Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications)
Edité par
Springer, 2011
ISBN 10 : 1461419263
ISBN 13 : 9781461419266
Ancien ou d'occasion
Couverture rigide
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Mixed Integer Nonlinear Programming
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Etat : New. pp. 712. N° de réf. du vendeur 2637379341
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