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Elias Cueto - Proper Generalized Decompositions - 9783319299938 - V9783319299938
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Proper Generalized Decompositions

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Description for Proper Generalized Decompositions Paperback. Series: SpringerBriefs in Applied Sciences and Technology. Num Pages: 108 pages, 19 black & white illustrations, 1 colour illustrations, biography. BIC Classification: PDE; PHU; TG. Category: (G) General (US: Trade). Dimension: 235 x 155 x 6. Weight in Grams: 180.
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 ... Read more

Product Details

Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
108
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology
Number of Pages
96
Place of Publication
Cham, Switzerland
ISBN
9783319299938
SKU
V9783319299938
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Proper Generalized Decompositions
“This book provides a brief introduction to Proper Generalized Decompositions (PGD), with strong emphasis on computational aspects. The book discusses the implementation of PGD for the Poisson problem, parameter-dependent problems, linear-elasticity, and dynamical problems. For every problem, matrix assembly is developed and Matlab routines are presented.” (Dante Kalise, Mathematical Reviews, July, 2017)

Goodreads reviews for Proper Generalized Decompositions


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