Stochastic dynamics, filtering, and optimization / (Record no. 68256)

000 -LEADER
fixed length control field 02059nam a22003618i 4500
001 - CONTROL NUMBER
control field CR9781316863107
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711202538.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160527s2017||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781316863107 (ebook)
082 00 - CLASSIFICATION NUMBER
Call Number 519.2
100 1# - AUTHOR NAME
Author Roy, Debasish Kumar,
245 10 - TITLE STATEMENT
Title Stochastic dynamics, filtering, and optimization /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (xxxvii, 709 pages) :
500 ## - GENERAL NOTE
Remark 1 Title from publisher's bibliographic system (viewed on 12 Feb 2018).
520 ## - SUMMARY, ETC.
Summary, etc Targeted at graduate students, researchers and practitioners in the field of science and engineering, this book gives a self-contained introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes. It then continues to weave into a framework of several practical tools and applications involving stochastic dynamical systems. These include tools for the numerical integration of such dynamical systems, nonlinear stochastic filtering and generalized Bayesian update theories for solving inverse problems and a new stochastic search technique for treating a broad class of non-convex optimization problems. MATLAB® codes for all the applications are uploaded on the companion website.
700 1# - AUTHOR 2
Author 2 G., Visweswara Rao
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/9781316863107
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge :
-- Cambridge University Press,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Random variables
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probabilities
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Stochastic processes

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