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International Journal of Computer Mathematics Volume 91, 2014 - Issue 4: Uncertainty Quantification
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Section B

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

Eric PhippsSandia National Laboratories, Albuqueque, New Mexico, USACorrespondence[email protected]
,
H. Carter EdwardsSandia National Laboratories, Albuqueque, New Mexico, USA
,
Jonathan HuSandia National Laboratories, Livermore, CA, USA
&
Jakob T. OstienSandia National Laboratories, Livermore, CA, USA
Pages 707-729 | Received 30 Jan 2013, Accepted 29 Aug 2013, Published online: 05 Dec 2013

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R. Archibald & C. Webster. (2014) Foreword. International Journal of Computer Mathematics 91:4, pages 705-706.
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Articles from other publishers (7)

Eduardo Souza de Cursi. (2021) Uncertainty quantification in game theory. Chaos, Solitons & Fractals 143, pages 110558.
Crossref
Eric T. Phipps & Andrew G. Salinger. 2017. Handbook of Uncertainty Quantification. Handbook of Uncertainty Quantification 1765 1806 .
Bert Debusschere. 2017. Handbook of Uncertainty Quantification. Handbook of Uncertainty Quantification 617 636 .
A. Mittal, X. Chen, C. H. Tong & G. Iaccarino. (2016) A Flexible Uncertainty Propagation Framework for General Multiphysics Systems. SIAM/ASA Journal on Uncertainty Quantification 4:1, pages 218-243.
Crossref
Eric T. Phipps & Andrew G. Salinger. 2016. Handbook of Uncertainty Quantification. Handbook of Uncertainty Quantification 1 43 .
Bert Debusschere. 2016. Handbook of Uncertainty Quantification. Handbook of Uncertainty Quantification 1 20 .
Qiushi Chen, Jakob T. Ostien & Glen Hansen. (2014) Development of a used fuel cladding damage model incorporating circumferential and radial hydride responses. Journal of Nuclear Materials 447:1-3, pages 292-303.
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