Overview
- Presents new efficient methods for solving an important practical problem in the field of space-filling curves
- Starting point for developing new methods
- Contains a code for implementing space-filling curves that can be used in global optimization algorithms
- Describes both stochastic and deterministic methods?
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Optimization (BRIEFSOPTI)
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Table of contents (5 chapters)
Keywords
About this book
Reviews
“This book is an excellent introduction to global optimization methods based on space-filling curves. The very useful content and engaging style of presentation make it a pleasant, interesting, and valuable read, and I enthusiastically recommend it to anyone interested in optimization.” (Sergiy Butenko, SIAM Review, Vol. 57 (1), March, 2015)
“The book gives an introduction to the subject and describes a number of non-trivial algorithms combining sophisticated ideas of pure mathematics with numerical methods. … this is an excellent book written by the world-leading authorities in the field of global optimization. The book nicely describes powerful ideas and algorithms, which could certainly be very useful to anybody working in numerical global optimization.” (Anatoly Zhigljavsky, Journal of Global Optimization, Vol. 60, 2014)
Authors and Affiliations
Bibliographic Information
Book Title: Introduction to Global Optimization Exploiting Space-Filling Curves
Authors: Yaroslav D. Sergeyev, Roman G. Strongin, Daniela Lera
Series Title: SpringerBriefs in Optimization
DOI: https://doi.org/10.1007/978-1-4614-8042-6
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Yaroslav D. Sergeyev, Roman G. Strongin, Daniela Lera 2013
Softcover ISBN: 978-1-4614-8041-9Published: 06 August 2013
eBook ISBN: 978-1-4614-8042-6Published: 13 August 2013
Series ISSN: 2190-8354
Series E-ISSN: 2191-575X
Edition Number: 1
Number of Pages: X, 125
Number of Illustrations: 2 b/w illustrations, 30 illustrations in colour
Topics: Manifolds and Cell Complexes (incl. Diff.Topology), Operations Research, Management Science, Mathematical Software, Numerical Analysis, Algebraic Geometry