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Proper generalized decompositions: an introduction to computer implementation with Matlab

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...

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Detalles Bibliográficos
Autores principales: Cueto, Elías, González, David, Alfaro, Icíar
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-29994-5
http://cds.cern.ch/record/2143511
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author Cueto, Elías
González, David
Alfaro, Icíar
author_facet Cueto, Elías
González, David
Alfaro, Icíar
author_sort Cueto, Elías
collection CERN
description 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. .
id cern-2143511
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
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spelling cern-21435112021-04-21T19:45:08Zdoi:10.1007/978-3-319-29994-5http://cds.cern.ch/record/2143511engCueto, ElíasGonzález, DavidAlfaro, IcíarProper generalized decompositions: an introduction to computer implementation with MatlabEngineeringThis 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. .Springeroai:cds.cern.ch:21435112016
spellingShingle Engineering
Cueto, Elías
González, David
Alfaro, Icíar
Proper generalized decompositions: an introduction to computer implementation with Matlab
title Proper generalized decompositions: an introduction to computer implementation with Matlab
title_full Proper generalized decompositions: an introduction to computer implementation with Matlab
title_fullStr Proper generalized decompositions: an introduction to computer implementation with Matlab
title_full_unstemmed Proper generalized decompositions: an introduction to computer implementation with Matlab
title_short Proper generalized decompositions: an introduction to computer implementation with Matlab
title_sort proper generalized decompositions: an introduction to computer implementation with matlab
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-29994-5
http://cds.cern.ch/record/2143511
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