Skip to content Skip to navigation

Applied Math Seminar Series 9/16/16

Date: 
September 16, 2016 - 3:30pm

Flyer File

Dongwook Lee, University of California, Santa Cruz

Abstract: 

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.

Location

Location: 
Classroom and Office Building 113

Contact Information

Name: 
Francois Blanchette
Title: 
Associate Professor
Department: 
School of Natural Sciences, Applied Mathematics
Address: 
5200 North Lake Rd.
Merced, CA 95343
United States
Address: 
5200 North Lake Rd.
Merced, CA 95343
United States