Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods

DOI10.1080/00207160.2013.840722zbMath1297.65011OpenAlexW1975763292MaRDI QIDQ2875308

H. Carter Edwards, Eric T. Phipps, J. T. Ostien, Jonathan J. Hu

Publication date: 14 August 2014

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://www.osti.gov/biblio/1115474

zbMATH Keywords

algorithmelasticitynumerical examplesuncertainty quantificationnon-intrusive spectral projectionstochastic Galerkinmanycore architectures

Mathematics Subject Classification ID

Classical linear elasticity (74B05) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) PDEs with randomness, stochastic partial differential equations (35R60) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)

Related Items (3)

Uncertainty quantification in game theory ⋮ Foreword ⋮ A Flexible Uncertainty Propagation Framework for General Multiphysics Systems

Uses Software

• DAKOTA
• Stokhos

Cites Work

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