Mixed Integer Nonlinear Programming

Name: Mixed Integer Nonlinear Programming
Brand: Springer-Verlag New York Inc.
SKU: 9781461419266
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Autor: Sven Leyffer, John Lee

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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Many engineering, operations, and scientific applications include a mixtureof discrete and continuou...

Informace o knize

Autor

Sven Leyffer, John Lee

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2011

Stránek

692

EAN

9781461419266

ISBN

1461419263

Enbook ID

01427104

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

1221

Rozměry

155 x 235 x 42

Kompletní popis

Many engineering, operations, and scientific applications include a mixtureof discrete and continuous decision variables and nonlinear relationshipsinvolving the decision variables that have a pronounced effect on the setof feasible and optimal solutions. Mixed-integer nonlinear programming(MINLP) problems combine the numerical difficulties of handling nonlin-ear functions with the challenge of optimizing in the context of nonconvexfunctions and discrete variables. MINLP is one of the most flexible model-ing paradigms available for optimization; but because its scope is so broad,in the most general cases it is hopelessly intractable. Nonetheless, an ex-panding body of researchers and practitioners including chemical en-gineers, operations researchers, industrial engineers, mechanical engineers,economists, statisticians, computer scientists, operations managers, andmathematical programmers are interested in solving large-scale MINLPinstances.

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Mixed Integer Nonlinear Programming

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