Proper Generalized Decompositions

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

An Introduction to Computer Implementation with Matlab, SpringerBriefs in Applied Sciences and Technology

ISBN: 331929993X
ISBN 13: 9783319299938
Autor: Cueto, Elías/González, David/Alfaro, Icíar
Verlag: Springer Verlag GmbH
Umfang: xii, 96 S., 19 s/w Illustr., 1 farbige Illustr., 96 p. 20 illus., 1 illus. in color.
Erscheinungsdatum: 10.03.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

This book is intended to help researchers overcome the entrance barrier to Proper Generalized Decomposition (PGD), by providing a valuable tool to begin the programming task. Detailed Matlab Codes are included for every chapter in the book, in which the theory previously described is translated into practice. Examples include parametric problems, non-linear model order reduction and real-time simulation, among others. Proper Generalized Decomposition (PGD) is a method for numerical simulation in many fields of applied science and engineering. As a generalization of Proper Orthogonal Decomposition or Principal Component Analysis to an arbitrary number of dimensions, PGD is able to provide the analyst with very accurate solutions for problems defined in high dimensional spaces, parametric problems and even real-time simulation.

Artikelnummer: 9057015 Kategorie:

Beschreibung

This book is intended to help researchers overcome the entrance barrier to Proper Generalized Decomposition (PGD), by providing a valuable tool to begin the programming task. Detailed Matlab Codes are included for every chapter in the book, in which the theory previously described is translated into practice. Examples include parametric problems, non-linear model order reduction and real-time simulation, among others. Proper Generalized Decomposition (PGD) is a method for numerical simulation in many fields of applied science and engineering. As a generalization of Proper Orthogonal Decomposition or Principal Component Analysis to an arbitrary number of dimensions, PGD is able to provide the analyst with very accurate solutions for problems defined in high dimensional spaces, parametric problems and even real-time simulation.  

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …