Add to ORKGThe aim of this paper is to investigate on various methods of reducing the computational complexity, cost, and time for a nite element model of an electrical machine with a nonlinear magnetostatic eld. A novel method is introduced in order to facilitate the evaluation of the nonlinear problem
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
Computational numerical methods are important tools in science and technology today. Numerical simul...
International audienceThe simulation of electric machines in order to calculate the copper losses is...
The aim of this paper is to investigate on various methods of reducing the computational complexity,...
In this paper, proper orthogonal decomposition method is employed to build a reduced-order model fro...
This paper introduces an interpolation method based on snapshot approach to reduce the order of a no...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
Model order reduction is an approach for reducing size, complexity, and computation cost of mathemat...
In this paper, proper orthogonal decomposition (POD) method is employed to build a reduced-order mod...
Model Order Reduction (MOR) methods are more and more applied on many di erent elds of physics in o...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
In recent years finite element models and multi-body systems in solid mechanics have been becoming m...
In order to reduce the computation time and the memory resources required to solve an electromagneti...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
Among the model order reduction techniques, the Proper Generalized Decomposition (PGD) has shown its...
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
Computational numerical methods are important tools in science and technology today. Numerical simul...
International audienceThe simulation of electric machines in order to calculate the copper losses is...
The aim of this paper is to investigate on various methods of reducing the computational complexity,...
In this paper, proper orthogonal decomposition method is employed to build a reduced-order model fro...
This paper introduces an interpolation method based on snapshot approach to reduce the order of a no...
International audienceAs in most of the domains in physics, finite element formulation is a very com...
Model order reduction is an approach for reducing size, complexity, and computation cost of mathemat...
In this paper, proper orthogonal decomposition (POD) method is employed to build a reduced-order mod...
Model Order Reduction (MOR) methods are more and more applied on many di erent elds of physics in o...
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce ...
In recent years finite element models and multi-body systems in solid mechanics have been becoming m...
In order to reduce the computation time and the memory resources required to solve an electromagneti...
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its ...
Among the model order reduction techniques, the Proper Generalized Decomposition (PGD) has shown its...
Model order reduction approaches aim at reducing the computational complexity of numericalmodels. Th...
Computational numerical methods are important tools in science and technology today. Numerical simul...
International audienceThe simulation of electric machines in order to calculate the copper losses is...