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...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
bEADS Foundation Chair ‘Advanced Computational Structural Mechanics ‘ This paper deals with the syne...
International audienceOne of the main difficulties a reduced order method could face is the poor sep...
1) Understand the basic principles of the so-called "Proper Generalized Decomposition" (PGD) for the...
The papers in this volume start with a description of the construction of reduced models through a ...
This is the peer reviewed version of the following article: Zou, X., Conti, M., Diez, P., Auricchio,...
We review the foundations and applications of the proper generalized decomposition (PGD), a powerful...
We review the foundations and applications of the proper generalized decomposition (PGD), a powerful...
In this paper we address the new reduction method called Proper Generalized Decomposition (PGD) whic...
Proper generalized decomposition (PGD) is often used for multiquery and fast-response simulations. I...
International audienceThis paper revisits a new model reduction methodology based on the use of sepa...
This book focuses on the development of a new simulation paradigm allowing for the solution of model...
This paper revisits a powerful discretization technique, the Proper Generalized Decomposition—PGD, i...
International audienceDuring the last few years, due to the increasing number of multi-parameter sim...
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
bEADS Foundation Chair ‘Advanced Computational Structural Mechanics ‘ This paper deals with the syne...
International audienceOne of the main difficulties a reduced order method could face is the poor sep...
1) Understand the basic principles of the so-called "Proper Generalized Decomposition" (PGD) for the...
The papers in this volume start with a description of the construction of reduced models through a ...
This is the peer reviewed version of the following article: Zou, X., Conti, M., Diez, P., Auricchio,...
We review the foundations and applications of the proper generalized decomposition (PGD), a powerful...
We review the foundations and applications of the proper generalized decomposition (PGD), a powerful...
In this paper we address the new reduction method called Proper Generalized Decomposition (PGD) whic...
Proper generalized decomposition (PGD) is often used for multiquery and fast-response simulations. I...
International audienceThis paper revisits a new model reduction methodology based on the use of sepa...
This book focuses on the development of a new simulation paradigm allowing for the solution of model...
This paper revisits a powerful discretization technique, the Proper Generalized Decomposition—PGD, i...
International audienceDuring the last few years, due to the increasing number of multi-parameter sim...
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
bEADS Foundation Chair ‘Advanced Computational Structural Mechanics ‘ This paper deals with the syne...
International audienceOne of the main difficulties a reduced order method could face is the poor sep...