Próximos artigos

Optimal Uncertainty Quantification of a risk measurement from a thermal-hydraulic code using Canonical Moments Jerome Stenger, Fabrice Gamboa, Merlin Kerller, Bertrand Iooss

Jerome Stenger
Institut Mathématiques de Toulouse, EDF R&D

Fabrice Gamboa
Institut Mathématiques de Toulouse

Merlin Kerller
EDF R&D

Bertrand Iooss
EDF R&D, Institut Mathématiques de Toulouse

DOI: 10.1615/Int.J.UncertaintyQuantification.2020030800

Sensitivity analysis for stochastic simulators using differential entropy soumaya azzi, Bruno Sudret, Joe Wiart

soumaya azzi
Télécom Paristech

Bruno Sudret
ETH Zurich, Institute of Structural Engineering, Chair of Risk, Safety and Uncertainty Quantification, Stefano-Franscini-Platz 5, CH-8093 Zurich, Switzerland

Joe Wiart
Télécom Paristech

DOI: 10.1615/Int.J.UncertaintyQuantification.2020031610

Simplex Stochastic Collocation for Piecewise Smooth Functions with Kinks Barbara Fuchs, Jochen Garcke

Barbara Fuchs
Fraunhofer SCAI

Jochen Garcke
Universität Bonn

DOI: 10.1615/Int.J.UncertaintyQuantification.2019030208

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