ENGLISH

Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab

By Elias Cueto , David Gonzalez , Icíar Alfaro (auth.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-29993-8, 978-3-319-29994-5
DOI
10.1007/978-3-319-29994-5
Language
english
Format
PDF
Filesize
3 MB (2902359 bytes)
Series
SpringerBriefs in Applied Sciences and Technology
Edition
1
Pages
XII, 96\103
Time added
2016-07-20 04:00:00
Continuum Mechanics and Mechanics of Materials; Co

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.

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