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Global Optimization: Theory, Algorithms, and Applications
Contributor(s): Locatelli, Marco (Author), Schoen, Fabio (Author)
ISBN: 1611972663     ISBN-13: 9781611972665
Publisher: Society for Industrial and Applied Mathematic
OUR PRICE:   $105.45  
Product Type: Paperback
Published: November 2013
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Mathematics | Linear & Nonlinear Programming
Dewey: 519.7
LCCN: 2013013213
Series: Mps-Siam Series on Optimization
Physical Information: 0.75" H x 6.85" W x 9.72" 450 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Global optimization is a rapidly growing field with powerful applications in applied mathematics and the physical sciences. This book provides a thorough overview of this area, with material 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. In addition, fundamental information on convex and concave functions is provided in an index. This book is intended for graduate students, researchers, and practitioners looking for advanced solution methods to difficult optimization problems. It is appropriate for use as a supplementary text in an advanced graduate-level seminar.

Contributor Bio(s): Locatelli, Marco: - 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.Schoen, Fabio: - 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.