Name: introduction to derivative-free optimization
SKU: 3035888
Price: 3942.00 TWD
Availability: InStock
Author: andrew r. conn

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portada introduction to derivative-free optimization

introduction to derivative-free optimization

Type

Physical Book

Author

andrew r. conn

Year

2009

Pages

295

ISBN

0898716683

ISBN13

9780898716689

Synopsis "introduction to derivative-free optimization"

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 model-based approaches. it contains a comprehensive description of the sampling and modeling tools needed for derivative-free optimization these tools allow the reader to better analyze the convergent properties of the algorithms and identify their differences and similarities.