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Mixed Integer Nonlinear Programming
. Ed(S): Leyffer, Sven; Lee, John
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Description for Mixed Integer Nonlinear Programming
Hardback. Mixed-integer nonlinear programming (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 are interested in solving large-scale MINLP instances. This book deals with this topic. Editor(s): Leyffer, Sven; Lee, John. Series: The IMA Volumes in Mathematics and its Applications. Num Pages: 712 pages, biography. BIC Classification: PBKJ; PBKS; PBU. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 38. Weight in Grams: 1166.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
712
Condition
New
Series
The IMA Volumes in Mathematics and its Applications
Number of Pages
692
Place of Publication
New York, NY, United States
ISBN
9781461419266
SKU
V9781461419266
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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