Approximate iterative algorithms / Anthony Almudevar, Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.

Author/creator Almudevar, Anthony
Format Electronic
Publication InfoBoca Raton : CRC Press, [2014]
Descriptionxi, 359 pages ; 26 cm
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Abstract "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"-- Provided by publisher.
General note"A Balkema book."
Bibliography noteIncludes bibliographical references (pages 351-355) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2013041800
ISBN9780415621540 (hardback)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available