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Approximate iterative algorithms /

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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 an...

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Bibliographic Details
Main Author: Almudevar, Anthony (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : CRC Press, [2014]
Series:A Balkema book
Subjects:
Approximation algorithms.
Functional analysis.
Probabilities.
Markov processes.
Algorithmes d'approximation.
Analyse fonctionnelle.
Probabilités.
Processus de Markov.
probability.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:"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"--
Item Description:"A Balkema book."
Physical Description:1 online resource (xi, 359 pages.).
Bibliography:Includes bibliographical references (pages 351-355) and index.
ISBN:9780429210853 (electronic bk)
042921085X (electronic bk)