Proper Generalized Decompositions
Cueto, Elías
González Calleja, David
Alfaro, Icíar
51,99 €(IVA inc.)
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.
- ISBN: 978-3-319-29993-8
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 96
- Fecha Publicación: 07/04/2016
- Nº Volúmenes: 1
- Idioma: Inglés