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Mixed Integer Nonlinear Programming

Download or Read eBook Mixed Integer Nonlinear Programming PDF written by Jon Lee and published by Springer Science & Business Media. This book was released on 2011-12-02 with total page 687 pages. Available in PDF, EPUB and Kindle.
Mixed Integer Nonlinear Programming
Author :
Publisher : Springer Science & Business Media
Total Pages : 687
Release :
ISBN-10 : 9781461419273
ISBN-13 : 1461419271
Rating : 4/5 (73 Downloads)

Book Synopsis Mixed Integer Nonlinear Programming by : Jon Lee

Book excerpt: 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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Nonlinearoptimizationproblemscontainingbothcontinuousanddiscretevariables are called mixed integer nonlinear programs (MINLP). Such problems arise in many ?elds
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