Final report: Stochastic partial differential equations applied to the predictability of complex multiscale phenomena | Zendy

James Glimm | Zendy; Yuefan Deng | Zendy; W. Brent Lindquist | Zendy; F. M. Tangerman | Zendy

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Final report: Stochastic partial differential equations applied to the predictability of complex multiscale phenomena

Author(s) -

James Glimm,

Yuefan Deng,

W. Brent Lindquist,

F. M. Tangerman

Publication year - 2001

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/771242

Subject(s) - predictability , partial differential equation , computer science , flow (mathematics) , work (physics) , connection (principal bundle) , statistical physics , uncertainty quantification , shock wave , shock (circulatory) , mathematics , engineering , physics , mechanics , machine learning , mechanical engineering , statistics , mathematical analysis , medicine

The objectives of this research remain as stated in our proposal of November 1997. We report on progress in the quantification of uncertainty and prediction, with applications to flow in porous media and to shock wave physics. The main strength of this work is an innovative theory for the quantification of uncertainty based on models for solution errors in numerical simulations. We also emphasize a deep connection to application communities, including those in DOE Laboratories

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