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Applied Math Seminar Series 9/16/16

September 16, 2016 - 10:30pm

Applied Math Seminar Series 9/16/16

Flyer File

Dongwook Lee, University of California, Santa Cruz


We present an entirely new class of high-order numerical algorithms for computational fluid dynamics, particularly suitable for modern extreme scale high-performance computing architectures. The new method is based on the Gaussian Processes (GP) modeling that generalizes the Gaussian probability distribution. Our approach is to adapt the idea of the GP prediction technique which utilizes the covariance kernel functions, and use it to reconstruct a high-order approximations for computational simulations. We propose the GP high-order method as a new numerical high-order formulation, alternative to the conventional polynomial-based approaches.


Classroom and Office Building 113

Contact Information

Francois Blanchette
Associate Professor
School of Natural Sciences, Applied Mathematics