
Global Optimization
Theory, Algorithms, and Applications
Society for Industrial & Applied Mathematics,U.S. (Publisher)
Published on 30. October 2013
Book
Paperback/Softback
444 pages
978-1-61197-266-5 (ISBN)
Description
Contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods, derivation of lower bounds for minimization problems, and branch-and-bound methods and convergence. The final chapter offers both benchmark test problems and applications of global optimization, such as finding the conformation of a molecule or planning an optimal trajectory for interplanetary space travel. An appendix provides fundamental information on convex and concave functions.
More details
Series
Language
English
Place of publication
New York
United States
Target group
College/higher education
Edition type
New edition
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 254 mm
Width: 177 mm
Thickness: 22 mm
Weight
780 gr
ISBN-13
978-1-61197-266-5 (9781611972665)
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Schweitzer Classification
Persons
Marco Locatelli is Professor of Operations Research at the University of Parma, Italy. He serves on the editorial boards of Computational Optimization and Applications and the Journal of Global Optimization. His research interests include the theoretical and practical aspects of global optimization. Fabio Schoen is Professor of Operations Research at the University of Florence, Italy. He serves on the editorial boards of Computational Optimization and Applications and the Journal of Global Optimization; in 2011 he founded KKT, a start-up devoted to operations research. His main research interests include developing efficient algorithms for large-scale global optimization problems.
Content
Chapter 1: Introduction
Chapter 2: Complexity
Chapter 3: Heuristics
Chapter 4: Lower Bounds
Chapter 5: Branch and Bound
Chapter 6: Problems
Appendix A: Basic Definitions and Results on Convexity
Appendix B: Notation.
Chapter 2: Complexity
Chapter 3: Heuristics
Chapter 4: Lower Bounds
Chapter 5: Branch and Bound
Chapter 6: Problems
Appendix A: Basic Definitions and Results on Convexity
Appendix B: Notation.