ENGLISH

Mixed Integer Nonlinear Programming

By Jon Lee , Sven Leyffer

Book information

Publisher
Springer
Year
2012
ISBN
978-1-4614-1927-3
Language
english
Format
PDF
Filesize
6 MB (6615973 bytes)
Pages
690\712
Time added
2016-06-29 18:00:00

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.

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