Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Global Optimization Algorithms as Decision Procedures. Theoretical Background and Core Univariate Case
-
Generalizations for Parallel Computing, Constrained and Multiple Criteria Problems
-
Global Optimization in Many Dimensions. Generalizations through Peano Curves
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Global Optimization with Non-Convex Constraints
Book Subtitle: Sequential and Parallel Algorithms
Authors: Roman G. Strongin, Yaroslav D. Sergeyev
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4615-4677-1
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2000
Hardcover ISBN: 978-0-7923-6490-0Published: 31 October 2000
Softcover ISBN: 978-1-4613-7117-5Published: 10 November 2013
eBook ISBN: 978-1-4615-4677-1Published: 09 November 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XXVIII, 704
Number of Illustrations: 1 b/w illustrations
Topics: Optimization, Software Engineering/Programming and Operating Systems, Computational Mathematics and Numerical Analysis, Theory of Computation, Algorithms, Engineering, general