Proper Generalized Decompositions: An Introduction to Computer Implementation with MATLAB 2016 Edition Contributor(s): Cueto, Elías (Author), González, David (Author), Alfaro, Icíar (Author) |
|||
ISBN: 331929993X ISBN-13: 9783319299938 Publisher: Springer
Binding Type: Paperback Published: March 2016 Click for more in this series: Springerbriefs in Applied Sciences and Technology |
Additional Information |
BISAC Categories: - Technology & Engineering | Mechanical - Computers | Computer Science - Science | Physics - Mathematical & Computational |
Dewey: 004 |
Series: Springerbriefs in Applied Sciences and Technology |
Physical Information: 0.23" H x 6.14" W x 9.21" L (0.36 lbs) 96 pages |
Descriptions, Reviews, Etc. |
Publisher 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.
|
Customer ReviewsSubmit your own review |
To tell a friend about this book, you must Sign In First! |