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Marco Locatelli - Global Optimization: Theory, Algorithms, and Applications - 9781611972665 - V9781611972665
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Global Optimization: Theory, Algorithms, and Applications

€ 156.45
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Description for Global Optimization: Theory, Algorithms, and Applications Paperback. The major themes of global optimization are explored, resulting in a thorough overview of this rapidly growing field. Series: MPS-SIAM Series on Optimization. Num Pages: 450 pages, illustrations. BIC Classification: PBU. Category: (U) Tertiary Education (US: College). Dimension: 177 x 256 x 21. Weight in Grams: 780.
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.

Product Details

Format
Paperback
Publication date
2013
Publisher
Society for Industrial & Applied Mathematics,U.S.
Condition
New
Number of Pages
444
Place of Publication
New York, United States
ISBN
9781611972665
SKU
V9781611972665
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Marco Locatelli
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.

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