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Approximate iterative algorithms

Record Type:	Language materials, printed : 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:	Markov processes. -
Online resource:	https://www.taylorfrancis.com/books/9780429210853
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:

527825
Markov processes.

LC Class. No.: QA76.9.A43 / A46 2014

Dewey Class. No.: 519.2/33

Approximate iterative algorithms
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008 250722s2014 flu ob 001 0 eng
010 $a 2013041800
020 $a 9780203503416 (electronic bk.)
020 $z 9780415621540 (hardback)
035 $a 17915303
040 $a DLC $b eng $c DLC $d DLC
050 0 0 $a QA76.9.A43 $b A46 2014
082 0 0 $a 519.2/33 $2 23
100 1 $a Almudevar, Anthony. $3 1098352
245 1 0 $a Approximate iterative algorithms $h [electronic resource] / $c Anthony Almudevar.
260 $a Boca Raton : $b CRC Press, $c 2014.
300 $a 1 online resource (xi, 359 p.)
500 $a "A Balkema book."
504 $a Includes bibliographical references (p. 351-355) and index.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Markov processes. $3 527825
650 0 $a Probabilities. $3 527847
650 0 $a Functional analysis. $3 527706
650 0 $a Approximation algorithms. $3 884187
856 4 0 $u https://www.taylorfrancis.com/books/9780429210853

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