Proper Generalized Decompositions: An Introduction to Computer Implementation With Matlab

Cueto, Elías/ González, David/ Alfaro, Icíar

ISBN 10: 331929993X / ISBN 13: 9783319299938

Published by Springer Verlag, 2016

About this Item

108 pages. 9.25x6.25x0.25 inches. In Stock.

Seller Inventory # x-331929993X

Bibliographic Details

• Title: Proper Generalized Decompositions: An Introduction to Computer Implementation With Matlab
• Publisher: Springer Verlag
• Publication Date: 2016
• Language: English
• ISBN 10: 331929993X
• ISBN 13: 9783319299938
• Binding: Paperback
• Condition: Brand New
• Weight: 0.19 kilograms

About this title

Synopsis

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.