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Stochastic Numerics Research Group
STOCHNUM
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  4. Advances In Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)

Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)

  • Raul Tempone, Professor, Applied Mathematics and Computational Science
Coordinators: Raul Tempone, Professor, Applied Mathematics and Computational Science
Jan 6, 09:00 - Jan 10, 17:00

B4 B5 A0215

uncertainty quantification algorithms

Overview

​SRI UQ Annual Meeting 6-10 January 2014

See please the program here: schedule
Technical presentations slide: here

Full Book of Abstracts: here

Full Book of Abstracts with Posters: here​ ​(40 MB)

Presenters

Raul Tempone, Professor, Applied Mathematics and Computational Science

Related People

Related Researchers

Raul Tempone

  • Professor, Applied Mathematics and Computational Science

numerical analysis Computational finance computational statistics stochastic differential equations uncertainty quantification bayesian inference data assimilation hierarchical and sparse approximation optimal control optimal experimental design stochastic optimization

Omar Knio

  • Dean, Computer, Electrical and Mathematical Sciences and Engineering

uncertainty quantification bayesian inference computational fluids mechanics combustion High Performance Computing

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