Stokhos

Stokhos Stochastic Galerkin Uncertainty Quantification Methods.

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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
Sorted by year (citations)

  1. D’Elia, M.; Edwards, H. C.; Hu, J.; Phipps, E.; Rajamanickam, S.: Ensemble grouping strategies for embedded stochastic collocation methods applied to anisotropic diffusion problems (2018)
  2. Phipps, E.; D’Elia, M.; Edwards, H. C.; Hoemmen, M.; Hu, J.; Rajamanickam, S.: Embedded ensemble propagation for improving performance, portability, and scalability of uncertainty quantification on emerging computational architectures (2017)
  3. Constantine, P. G.; Phipps, E. T.; Wildey, T. M.: Efficient uncertainty propagation for network multiphysics systems (2014)
  4. Phipps, Eric; Edwards, H. Carter; Hu, Jonathan; Ostien, Jakob T.: Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods (2014)