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Kniha Mixed Integer Nonlinear Programming Jon Lee

Mixed Integer Nonlinear Programming

Autor: Jon Lee, Sven Leyffer
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer-Verlag New York Inc.
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
5 023 Kč
Many engineering, operations, and scientific applications include a mixture of discrete and continuo...

Informace o knize

Autor
Jon Lee, Sven Leyffer
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2014
Stránek
692
EAN
9781493902217
ISBN
1493902210
Enbook ID
02597491
Vydavatel
Springer-Verlag New York Inc.
Hmotnost
1074
Rozměry
155 x 235 x 38

Kompletní popis

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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