Uncertainty Quantification Methods for High
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Monte Carlo, Sparse Grid, etc PowerPoint PPT Presentation


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Uncertainty Quantification Methods for High Performance Computing: Scalable Approximation and Error Estimation for Stochastic Collocation Rick Archibald Oak Ridge National Laboratory SAMSI Transition Workshop Research Triangle Park, NC May 2012. Monte Carlo, Sparse Grid, etc.

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Monte carlo sparse grid etc

Uncertainty Quantification Methods for High Performance Computing: Scalable Approximation and Error Estimation for Stochastic Collocation

Rick Archibald

Oak Ridge National Laboratory

SAMSI Transition Workshop

Research Triangle Park, NC

May 2012


Monte carlo sparse grid etc

Monte Carlo, Sparse Grid, etc

Polynomials, wavelets, etc


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