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Approximate iterative algorithms
~
Almudevar, Anthony.
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Approximate iterative algorithms
Record Type:
Electronic resources : Monograph/item
Title/Author:
Approximate iterative algorithms/ Anthony Almudevar.
Author:
Almudevar, Anthony.
Published:
Boca Raton :CRC Press, : 2014.,
Description:
1 online resource (xi, 359 p.)
Notes:
"A Balkema book."
Subject:
Approximation algorithms. -
Online resource:
http://www.crcnetbase.com/isbn/9780203503416
ISBN:
9780203503416 (electronic bk.)
Approximate iterative algorithms
Almudevar, Anthony.
Approximate iterative algorithms
[electronic resource] /Anthony Almudevar. - Boca Raton :CRC Press,2014. - 1 online resource (xi, 359 p.)
"A Balkema book."
Includes bibliographical references (p. 351-355) and index.
"Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the study of approximate iterative algorithms, providing tools for the derivation of error bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical relationships between approximation methods and convergence properties for general classes of algorithms. The volume provides the necessary background in functional analysis and probability theory and presents extensive applications to Markov decision processes"--
ISBN: 9780203503416 (electronic bk.)
LCCN: 2013041800Subjects--Topical Terms:
1566572
Approximation algorithms.
LC Class. No.: QA76.9.A43 / A46 2014
Dewey Class. No.: 519.2/33
Approximate iterative algorithms
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Anthony Almudevar.
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Boca Raton :
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CRC Press,
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1 online resource (xi, 359 p.)
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"A Balkema book."
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Includes bibliographical references (p. 351-355) and index.
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"Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation. This volume presents methods for the study of approximate iterative algorithms, providing tools for the derivation of error bounds and convergence rates, and for the optimal design of such algorithms. Techniques of functional analysis are used to derive analytical relationships between approximation methods and convergence properties for general classes of algorithms. The volume provides the necessary background in functional analysis and probability theory and presents extensive applications to Markov decision processes"--
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Approximation algorithms.
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http://www.crcnetbase.com/isbn/9780203503416
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W9279068
電子資源
11.線上閱覽_V
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EB QA76.9.A43 A46 2014
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