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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Dezember 2011
Genre:	Schulbücher
	Algorithms / Approximation theory / Approximations and Expansions / C / Continuous Optimization / CONVEX MINLP;DISJUNCTIVE PROGRAMMING;NONLINEAR PROGRAMMING / Mathematical optimization / Mathematics and Statistics / Numerical analysis / Optimization mehr...
ISBN:	9781461419266
EAN-Code:	9781461419266
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#154 - The IMA Volumes in Mathematics and its Applications
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1221 gr
Seiten:	692
Illustration:	XX, 692 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
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Inhalt:

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.