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عنوان
Data-driven computational methods :

پدید آورنده
John Harlim, the Pennsylvania State University.

موضوع
Computational sciences.

رده
QA274
.
2
.
H37
2018

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1108562469
(Number (ISBN
9781108562461
Erroneous ISBN
1108472478
Erroneous ISBN
9781108472470

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Data-driven computational methods :
General Material Designation
[Book]
Other Title Information
parameter and operator estimations /
First Statement of Responsibility
John Harlim, the Pennsylvania State University.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cambridge, UK :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
2018.
Date of Publication, Distribution, etc.
©2018

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xi, 158 pages) :
Other Physical Details
illustrations

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (pages 151-155) and index.

CONTENTS NOTE

Text of Note
Introduction -- Markov-Chain Monte Carlo -- Ensemble Kalman filters -- Stochastic spectral methods -- Karhunen-Loève expansion -- Diffusion forecast.
0

SUMMARY OR ABSTRACT

Text of Note
Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic processes, functional analysis, numerical analysis, and differential geometry. It describes two classes of computational methods to leverage data for modeling dynamical systems. The first is concerned with data fitting algorithms to estimate parameters in parametric models that are postulated on the basis of physical or dynamical laws. The second is on operator estimation, which uses the data to nonparametrically approximate the operator generated by the transition function of the underlying dynamical systems. This self-contained book is suitable for graduate studies in applied mathematics, statistics, and engineering. Carefully chosen elementary examples with supplementary MATLAB® codes and appendices covering the relevant prerequisite materials are provided, making it suitable for self-study.

OTHER EDITION IN ANOTHER MEDIUM

Title
DATA-DRIVEN COMPUTATIONAL METHODS.
International Standard Book Number
1108472478

TITLE USED AS SUBJECT

Computational sciences.

DEWEY DECIMAL CLASSIFICATION

Number
519
.
22
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA274
.
2
Book number
.
H37
2018

PERSONAL NAME - PRIMARY RESPONSIBILITY

Harlim, John

ORIGINATING SOURCE

Date of Transaction
20200822151108.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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