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9781611972665 Academic Inspection Copy

Global Optimization

Theory, Algorithms, and Applications
  • ISBN-13: 9781611972665
  • Publisher: SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
    Imprint: SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
  • By Marco Locatelli, By Fabio Schoen
  • Price: AUD $250.00
  • Stock: 0 in stock
  • Availability: This book is temporarily out of stock, order will be despatched as soon as fresh stock is received.
  • Local release date: 28/01/2014
  • Format: Paperback (229.00mm X 152.00mm) 444 pages Weight: 782g
  • Categories: Optimization [PBU]
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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.
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.
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.
The major themes of global optimization are explored, resulting in a thorough overview of this rapidly growing field.
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