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E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/1047875658 Title: Data-driven computational methods : parameter and operator estimations Author: John Harlim Publisher: Cambridge : Cambridge University Press, 2018 ISBN/ISSN: 9781108472470 1108472478 OCLC:1047875658

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Data-driven computational methods : parameter and operator estimations

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Data-driven computational methods : parameter and operator estimations

Author:	John Harlim
Publisher:	Cambridge : Cambridge University Press, 2018
Edition/Format:	Print book : EnglishView all editions and formats
Summary:	The mathematics behind, and the practice of, computational methods that leverage data for modelling dynamical systems are described in this book. It will teach readers how to fit data on the assumed Read more...
Rating:	(not yet rated) 0 with reviews - Be the first.
Subjects	Stochastic models.
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Document Type:	Book
All Authors / Contributors:	John Harlim Find more information about:
ISBN:	9781108472470 1108472478
OCLC Number:	1047875658
Description:	169 Seiten. : Illustrationen. ; 25 cm.
Contents:	1. Introduction; 2. Markov chain Monte Carlo; 3. Ensemble Kalman filters; 4. Stochastic spectral methods; 5. Karhunen-Loeve expansion; 6. Diffusion forecast; Appendix A. Elementary probability theory; Appendix B. Stochastic processes; Appendix C. Elementary differential geometry; References; Index.
Responsibility:	by John Harlim.

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'The MATLAB code used for the examples in the book can be downloaded from the publisher's website; the scripts are short, well commented and can be understood without difficulty (even if you are not Read more...

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