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Introduction to Derivative-Free Optimization
Andrew R. Conn
€ 105.67
€ 95.35
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Description for Introduction to Derivative-Free Optimization
Paperback.
The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. This book explains how sampling and model techniques are used in derivative-free methods and how these methods are designed to efficiently and rigorously solve optimization problems. Although readily accessible to readers with a modest background in computational mathematics, it is also intended to be of interest to researchers in the field. Introduction to Derivative-Free Optimization is the first contemporary comprehensive treatment of optimization without derivatives. This book covers most of the relevant classes of algorithms from direct search to ... Read more
The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. This book explains how sampling and model techniques are used in derivative-free methods and how these methods are designed to efficiently and rigorously solve optimization problems. Although readily accessible to readers with a modest background in computational mathematics, it is also intended to be of interest to researchers in the field. Introduction to Derivative-Free Optimization is the first contemporary comprehensive treatment of optimization without derivatives. This book covers most of the relevant classes of algorithms from direct search to ... Read more
Product Details
Format
Paperback
Publication date
2009
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
295
Condition
New
Number of Pages
295
Place of Publication
New York, United States
ISBN
9780898716689
SKU
V9780898716689
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-3
About Andrew R. Conn
Andrew R. Conn is a research staff member at the IBM T. J. Watson Research Center, Yorktown Heights, NY. In 1994 he was (with N. I. M. Gould and Ph. L. Toint) a joint recipient of the Beale/Orchard-Hays Prize for Computational Excellence in Mathematical Programming and with Chandu Visweswariah he received an IBM Corporate Award in 2002 for contributions to ... Read more
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