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Mixed Integer Nonlinear Programming 2012 Edition
Contributor(s): Lee, Jon (Editor), Leyffer, Sven (Editor)
ISBN: 1493902210     ISBN-13: 9781493902217
Publisher: Springer
OUR PRICE:   $208.99  
Product Type: Paperback - Other Formats
Published: March 2014
Qty:
Additional Information
BISAC Categories:
- Mathematics | Mathematical Analysis
- Computers | Programming - Algorithms
- Mathematics | Linear & Nonlinear Programming
Dewey: 519.76
Series: IMA Volumes in Mathematics and Its Applications
Physical Information: 1.42" H x 6.14" W x 9.21" (2.16 lbs) 692 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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.