Proper Generalized Decompositions An Introduction to Computer Implem
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 t
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Elías Cueto David González Icíar Alfaro
Proper Generalized Decompositions An Introduction to Computer Implementation with Matlab 123
SpringerBriefs in Applied Sciences and Technology
More information about this series at http://www.springer.com/series/8884
Elías Cueto David González Icíar Alfaro •
Proper Generalized Decompositions An Introduction to Computer Implementation with Matlab
123
Elías Cueto Aragon Institute of Engineering Research University of Zaragoza Zaragoza Spain
Icíar Alfaro Aragon Institute of Engineering Research University of Zaragoza Zaragoza Spain
David González Aragon Institute of Engineering Research University of Zaragoza Zaragoza Spain
Additional material to this book can be downloaded from http://extras.springer.com. ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISBN 978-3-319-29993-8 ISBN 978-3-319-29994-5 (eBook) DOI 10.1007/978-3-319-29994-5 Library of Congress Control Number: 2016933200 © The Author(s) 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
To our families, for being so patient with us
Preface
This book is intended to make life easier to those interested in model order reduction techniques, and particularly in proper generalized decomposition (PGD) methods. We are aware that it looks often difficult to obtain a good PGD program and that there is a sort of steep learning curve. To overcome these difficulties, this book is thought to ease as much as possible the coding phase of PGD. Many other books devoted to model order reduction in general, and PGD in particular, exist nowadays. But we strongly believe that this one covers aspects not fully considered in previous works on the topic. Maybe the greatest advantage of PGD over other model reduction techniques, if any, relies in its ability of coping with parametric proble
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