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

MARC

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245 1 0 |a Introduction to derivative-free optimization /  |c Andrew R. Conn, Katya Scheinberg, Luis N. Vicente. 
260 |a Philadelphia, Pa. :  |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104),  |c 2009. 
300 |a 1 online resource (xii, 277 pages) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a MPS-SIAM series on optimization ;  |v 8 
504 |a Includes bibliographical references (pages 255-270) and index. 
505 0 |a 1. Introduction -- 2. Sampling and linear models -- 3. Interpolating nonlinear models -- 4. Regression nonlinear models -- 5. Underdetermined interpolating models -- 6. Ensuring well poisedness and suitable derivative-free models -- 7. Directional direct-search methods -- 8. Simplicial direct-search methods -- 9. Line-search methods based on simplex derivatives -- 10. Trust-region methods based on derivative-free models -- 11. Trust-region interpolation-based methods -- 12. Review of surrogate model management -- 13. Review of constrained and other extensions to derivative-free optimization. 
520 3 |a 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. 
588 0 |a Title page of print version. 
546 |a English. 
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650 0 |a Mathematical optimization  |x Industrial applications. 
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653 |a Algorithms 
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700 1 |a Vicente, Luis N.  |0 http://id.loc.gov/authorities/names/n2008059303 
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