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Více informací o knize Mixed Integer Nonlinear Programming

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Anotace knihy

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.§

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Calculus & mathematical analysis

• Plný název: Mixed Integer Nonlinear Programming
• Autor: Jon Lee, Sven Leyffer
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 692
• EAN: 9781493902217
• ISBN: 1493902210
• ID: 02597491
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 1074 g
• Rozměry: 235 × 155 × 38 mm
• Datum vydání: 03. March 2014

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