Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab (SpringerBriefs in Applied Sciences and Technology)
Language: English
Published by Springer, 2016
- Softcover
- New

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- Title
- Proper Generalized Decompositions: An Introduction to Computer Implementation with Matlab (SpringerBriefs in Applied Sciences and Technology)
- Author
- Cueto, Elías; González, David; Alfaro, Icíar
- Publisher
- Springer
- Publication year
- 2016
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 331929993X
- ISBN 13
- 9783319299938
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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