Global optimization theory, algorithms, and applications

Global optimization theory, algorithms, and applications

Marco Locatelli, Fabio Schoen
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This volume 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.

Audience: Global Optimization is intended for Ph.D. students, researchers, and practitioners looking for advanced solution methods to difficult optimization problems. It can be used as a supplementary text in an advanced graduate-level seminar.

Contents: 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

سال:
2013
ناشر کتب:
SIAM-Society for Industrial and Applied Mathematics
زبان:
english
صفحات:
439
ISBN 10:
1611972663
ISBN 13:
9781611972665
سیریز:
Mos-Siam Series on Optimization
فائل:
PDF, 2.61 MB
IPFS:
CID , CID Blake2b
english, 2013
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