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Approximate iterative algorithms

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Approximate iterative algorithms/ Anthony Almudevar.
作者:	Almudevar, Anthony.
出版者:	Boca Raton :CRC Press, : 2014.,
面頁冊數:	1 online resource (xi, 359 p.)
附註:	"A Balkema book."
標題:	Markov processes. -
電子資源:	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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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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