Introduction to derivative-free optimization /

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Bibliographic Details
Author / Creator:Conn, A. R. (Andrew R.)
Imprint:Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2009.
Description:1 online resource (xii, 277 pages) : illustrations.
Language:English
Series:MPS-SIAM series on optimization ; 8
MPS-SIAM series on optimization ; 8.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12577236
Hidden Bibliographic Details
Other authors / contributors:Scheinberg, Katya.
Vicente, Luis N.
Mathematical Programming Society (U.S.)
Society for Industrial and Applied Mathematics.
ISBN:9780898718768
0898718767
9780898716689
0898716683
Notes:Includes bibliographical references (pages 255-270) and index.
English.
Title page of print version.
Summary:The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimisation. 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 optimisation problems.
Other form:Print version: Conn, A.R. (Andrew R.). Introduction to derivative-free optimization. Philadelphia : Society for Industrial and Applied Mathematics/Mathematical Programming Society, ©2009 9780898716689
Publisher's no.:MP08 siam