Source code to reproduce all numerical experiments in the publication "(Parametrized) First Order Transport Equations: Realization of Optimally Stable Petrov-Galerkin Methods" by Julia Brunken, Kathrin Smetana, and Karsten Urban</p
We revisit the finite element analysis of convection-dominated flow problems within the recently dev...
This chapter describes techniques for the numerical resolution of optimal transport problems. We wil...
In this document, we revisit classical Machine Learning (ML) notions and algorithms under the point ...
<p>Source code to reproduce all numerical experiments in the publication</p> <p>"(Parametrized) Fir...
We consider ultraweak variational formulations for (parametrized) linear first order transport equat...
SIGLEAvailable from British Library Document Supply Centre- DSC:D38230/81 / BLDSC - British Library ...
Wir entwickeln stabile und effiziente Petrov-Galerkin-Diskretisierungen für zwei transportdominierte...
Extraktion quantifizierbarer Information aus komplexen Systemen” Adaptive Petrov-Galerkin methods fo...
Numerical solutions of Partial Differential Equations with Finite Element Method have multiple appli...
We propose a general framework for well posed variational formulations of linear unsymmetric operato...
International audienceWe propose a general framework for well posed variational formulations of line...
We investigate the application of the discontinuous Petrov-Galerkin (DPG) finite el-ement framework ...
We investigate the application of the discontinuous Petrov-Galerkin (DPG) finite element framework t...
The nearly-optimal Petrov-Galerkin (NOPG) method is employed to improve finite element computation o...
Abstract. This article reports the first considerations, one dimensional ones, that led us to consid...
We revisit the finite element analysis of convection-dominated flow problems within the recently dev...
This chapter describes techniques for the numerical resolution of optimal transport problems. We wil...
In this document, we revisit classical Machine Learning (ML) notions and algorithms under the point ...
<p>Source code to reproduce all numerical experiments in the publication</p> <p>"(Parametrized) Fir...
We consider ultraweak variational formulations for (parametrized) linear first order transport equat...
SIGLEAvailable from British Library Document Supply Centre- DSC:D38230/81 / BLDSC - British Library ...
Wir entwickeln stabile und effiziente Petrov-Galerkin-Diskretisierungen für zwei transportdominierte...
Extraktion quantifizierbarer Information aus komplexen Systemen” Adaptive Petrov-Galerkin methods fo...
Numerical solutions of Partial Differential Equations with Finite Element Method have multiple appli...
We propose a general framework for well posed variational formulations of linear unsymmetric operato...
International audienceWe propose a general framework for well posed variational formulations of line...
We investigate the application of the discontinuous Petrov-Galerkin (DPG) finite el-ement framework ...
We investigate the application of the discontinuous Petrov-Galerkin (DPG) finite element framework t...
The nearly-optimal Petrov-Galerkin (NOPG) method is employed to improve finite element computation o...
Abstract. This article reports the first considerations, one dimensional ones, that led us to consid...
We revisit the finite element analysis of convection-dominated flow problems within the recently dev...
This chapter describes techniques for the numerical resolution of optimal transport problems. We wil...
In this document, we revisit classical Machine Learning (ML) notions and algorithms under the point ...
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