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Table of contents (17 chapters)
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Front Matter
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History
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Front Matter
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Theory
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Front Matter
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Modeling and Applications
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Front Matter
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About this book
The volume is divided into four parts. Part I reviews the first decade of SIP (1962-1972). Part II analyses convex and generalised SIP, conic linear programming, and disjunctive programming. New numerical methods for linear, convex, and continuously differentiable SIP problems are proposed in Part III. Finally, Part IV provides an overview of the applications of SIP to probability, statistics, experimental design, robotics, optimization under uncertainty, production games, and separation problems.
Audience: This book is an indispensable reference and source for advanced students and researchers in applied mathematics and engineering.
Editors and Affiliations
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Universidad de Alicante, Spain
Miguel Á. Goberna, Marco A. López
Bibliographic Information
Book Title: Semi-Infinite Programming
Book Subtitle: Recent Advances
Editors: Miguel Á. Goberna, Marco A. López
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4757-3403-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2001
Hardcover ISBN: 978-1-4020-0032-4Published: 31 October 2001
Softcover ISBN: 978-1-4419-5204-2Published: 09 December 2010
eBook ISBN: 978-1-4757-3403-4Published: 11 November 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XVIII, 386
Topics: Software Engineering/Programming and Operating Systems, Probability Theory and Stochastic Processes, Applications of Mathematics, Optimization, Mathematical Modeling and Industrial Mathematics, Mathematics of Computing