Add to ORKGA framework for the development of implicit solvers for incompressible flow problem
Problems in turbomachinery computational fluid dynamics (CFD) are often characterized by nonlinear a...
When modeling physical systems, several sources of uncertainty are present. For example, variability...
International audienceWe address the issue of epistemic uncertainty quantification in the context of...
The main difference between an experimental study and the corresponding numerical simulation is that...
Project-Teams Bacchus A semi-intrusive deterministic approach to uncertainty quantifications in non-...
There is a need to automate stochastic uncertainty quantification codes in the digital age. Problems...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
International audienceIn this chapter, the basic principles of two methodologies for uncertainty qua...
In general, many general mathematical formulations of uncertainty quantification problems are NP-har...
The problem of non-intrusive uncertainty quantification is studied, with a focus on two computationa...
Bachelor's thesis written at the Chair of Scientific Computing at the School of Computation, Informa...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
In this paper an efficient framework for uncertainty quantification in computational fluid dynamics ...
A mixed uncertainty quantification method was applied to computational fluid dynamics (CFD) modeling...
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in...
Problems in turbomachinery computational fluid dynamics (CFD) are often characterized by nonlinear a...
When modeling physical systems, several sources of uncertainty are present. For example, variability...
International audienceWe address the issue of epistemic uncertainty quantification in the context of...
The main difference between an experimental study and the corresponding numerical simulation is that...
Project-Teams Bacchus A semi-intrusive deterministic approach to uncertainty quantifications in non-...
There is a need to automate stochastic uncertainty quantification codes in the digital age. Problems...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
International audienceIn this chapter, the basic principles of two methodologies for uncertainty qua...
In general, many general mathematical formulations of uncertainty quantification problems are NP-har...
The problem of non-intrusive uncertainty quantification is studied, with a focus on two computationa...
Bachelor's thesis written at the Chair of Scientific Computing at the School of Computation, Informa...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
In this paper an efficient framework for uncertainty quantification in computational fluid dynamics ...
A mixed uncertainty quantification method was applied to computational fluid dynamics (CFD) modeling...
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in...
Problems in turbomachinery computational fluid dynamics (CFD) are often characterized by nonlinear a...
When modeling physical systems, several sources of uncertainty are present. For example, variability...
International audienceWe address the issue of epistemic uncertainty quantification in the context of...