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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Bibliographic Details
Main Authors: Cueto, Elías (Author), González, David (Author), Alfaro, Icíar (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:SpringerBriefs in Applied Sciences and Technology,
Subjects:
Mechanics, Applied.
Solids.
Mathematics > Data processing.
Mathematical physics.
Solid Mechanics.
Computational Science and Engineering.
Theoretical, Mathematical and Computational Physics.
Online Access:Full-text access
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Description
Summary: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. .
Physical Description:XII, 96 p. 20 illus., 1 illus. in color. online resource.
ISBN:9783319299945
ISSN:2191-5318
DOI:10.1007/978-3-319-29994-5

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