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Derivative-Free and Blackbox Optimization Softcover Repri Edition
Contributor(s): Audet, Charles (Author), Hare, Warren (Author)
ISBN: 3319886800     ISBN-13: 9783319886800
Publisher: Springer
OUR PRICE:   $66.49  
Product Type: Paperback
Published: September 2018
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Mathematics | Applied
- Mathematics | Number Systems
- Mathematics | Optimization
Dewey: 518
Series: Springer Series in Operations Research and Financial Enginee
Physical Information: 302 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization.

The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book discusses what is meant by Derivative-Free and Blackbox Optimization, provides background material, and early basics while Part II focuses on heuristic methods (Genetic Algorithms and Nelder-Mead). Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region). Part V discusses dealing with constraints, using surrogates, and bi-objective optimization.

End of chapter exercises are included throughout as well as 15 end of chapter projects and over 40 figures. Benchmarking techniques are also presented in the appendix.