Overview
- Recent advances in optimization in engineering
- Includes supplementary material: sn.pub/extras
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About this book
Mathematical optimization encompasses both a rich and rapidly evolving body of fundamental theory, and a variety of exciting applications in science and engineering. The present book contains a careful selection of articles on recent advances in optimization theory, numerical methods, and their applications in engineering. It features in particular new methods and applications in the fields of optimal control, PDE-constrained optimization, nonlinear optimization, and convex optimization. The authors of this volume took part in the 14th Belgian-French-German Conference on Optimization (BFG09) organized in Leuven, Belgium, on September 14-18, 2009. The volume contains a selection of reviewed articles contributed by the conference speakers as well as three survey articles by plenary speakers and two papers authored by the winners of the best talk and best poster prizes awarded at BFG09.
Researchers and graduate students in applied mathematics, computer science, and many branches of engineering will find in this book an interesting and useful collection of recent ideas on the methods and applications of optimization.
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Table of contents (46 papers)
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Front Matter
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Convex Optimization
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Front Matter
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Nonlinear Optimization
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Front Matter
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Optimization on Manifolds
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Optimization and its Applications in Engineering
Editors: Moritz Diehl, Francois Glineur, Elias Jarlebring, Wim Michiels
DOI: https://doi.org/10.1007/978-3-642-12598-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-12597-3Published: 24 September 2010
Softcover ISBN: 978-3-642-42375-8Published: 20 November 2014
eBook ISBN: 978-3-642-12598-0Published: 21 September 2010
Edition Number: 1
Number of Pages: XI, 535
Topics: Mathematical and Computational Engineering, Theoretical and Applied Mechanics, Optimization, Control and Systems Theory