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Can I read Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154) on EtoBox?
Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154) by Leyffer, Sven (edt); Lee, Jon (edt) is a nonfiction available to read on EtoBox.
What is Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154) about?
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.
Who reads Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Leyffer, Sven (edt); Lee, Jon (edt)
- Publisher
- Springer Science+Business Media, LLC
- Published
- 2021
- Language
- EN
- ISBN
- 9781493902217
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Technology
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