Editors:
- Contains expository and research papers based on a highly successful IMA Hot Topics Workshop “Mixed-Integer Nonlinear Optimization: Algorithmic Advances and Applications”
- Combines the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables
- Includes survey articles, new research material, and novel applications of MINLP
Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 154)
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Table of contents (22 papers)
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Front Matter
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Disjunctive Programming
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Front Matter
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Expression Graphs
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Front Matter
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Convexification and Linearization
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Front Matter
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Mixed-Integer Quadraticaly Constrained Optimization
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Front Matter
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About this book
Editors and Affiliations
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, College of Engineering, University of Michigan, Ann Arbor, USA
Jon Lee
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, Mathematics and Computer Science, Argonne National Laboratory, Argonne, USA
Sven Leyffer
Bibliographic Information
Book Title: Mixed Integer Nonlinear Programming
Editors: Jon Lee, Sven Leyffer
Series Title: The IMA Volumes in Mathematics and its Applications
DOI: https://doi.org/10.1007/978-1-4614-1927-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-4614-1926-6Published: 01 December 2011
Softcover ISBN: 978-1-4939-0221-7Published: 03 March 2014
eBook ISBN: 978-1-4614-1927-3Published: 02 December 2011
Series ISSN: 0940-6573
Series E-ISSN: 2198-3224
Edition Number: 1
Number of Pages: XX, 692
Topics: Approximations and Expansions, Algorithms, Continuous Optimization