Agraïments: A. Nouy supported by GdR MoMaS with partners ANDRA, BRGM, CEA, CNRS, EDF, IRSNThe Proper Generalized Decomposition (PGD) is a methodology initially proposed for the solution of partial differential equations (PDE) defined in tensor product spaces. It consists in constructing a separated representation of the solution of a given PDE. In this paper we consider the mathematical analysis of this framework for a larger class of problems in an abstract setting. In particular, we introduce a generalization of Eckart and Young theorem which allows to prove the convergence of the so-called progressive PGD for a large class of linear problems defined in tensor product Hilbert spaces
International audienceOver the past years, model reduction techniques have become a necessary path f...
Proper Generalized Decomposition (PGD) is devised as a computational method to solve high-dimensiona...
A non-intrusive proper generalized decomposition (PGD) strategy, coupled with an overlapping domain ...
AbstractThe Proper Generalized Decomposition (PGD) is a methodology initially proposed for the solut...
International audienceThe Proper Generalized Decomposition (PGD) is a methodology initially proposed...
A Proper Generalized Decomposition for the solution of elliptic problems in abstract form by using a...
International audienceWe introduce a new algorithm of proper generalized decomposition (PGD) for par...
International audienceTensor-based methods are receiving a growing interest in scientific computing ...
the date of receipt and acceptance should be inserted later Abstract Tensor-based methods are receiv...
International audienceModel reduction techniques based on the construction of separated representati...
We introduce a new algorithm of proper generalized decomposition (PGD) for parametric symmetric elli...
In this thesis, we are interested in the PGD (Proper Generalized Decomposition), one of the reduced ...
In this study, we present the mathematical analysis needed to explain the convergence of a progressi...
In its original conception, proper generalized decomposition (PGD) provides explicit parametric solu...
The Proper Generalized Decomposition or, for short, PGD is a tensor decomposition based technique to...
International audienceOver the past years, model reduction techniques have become a necessary path f...
Proper Generalized Decomposition (PGD) is devised as a computational method to solve high-dimensiona...
A non-intrusive proper generalized decomposition (PGD) strategy, coupled with an overlapping domain ...
AbstractThe Proper Generalized Decomposition (PGD) is a methodology initially proposed for the solut...
International audienceThe Proper Generalized Decomposition (PGD) is a methodology initially proposed...
A Proper Generalized Decomposition for the solution of elliptic problems in abstract form by using a...
International audienceWe introduce a new algorithm of proper generalized decomposition (PGD) for par...
International audienceTensor-based methods are receiving a growing interest in scientific computing ...
the date of receipt and acceptance should be inserted later Abstract Tensor-based methods are receiv...
International audienceModel reduction techniques based on the construction of separated representati...
We introduce a new algorithm of proper generalized decomposition (PGD) for parametric symmetric elli...
In this thesis, we are interested in the PGD (Proper Generalized Decomposition), one of the reduced ...
In this study, we present the mathematical analysis needed to explain the convergence of a progressi...
In its original conception, proper generalized decomposition (PGD) provides explicit parametric solu...
The Proper Generalized Decomposition or, for short, PGD is a tensor decomposition based technique to...
International audienceOver the past years, model reduction techniques have become a necessary path f...
Proper Generalized Decomposition (PGD) is devised as a computational method to solve high-dimensiona...
A non-intrusive proper generalized decomposition (PGD) strategy, coupled with an overlapping domain ...