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Numerical Analysis and PDE

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All talks will be online, on Fridays from 11am to noon, followed by a 30-minutes interaction with the speaker on zoom. The zoom room will be available from 10:30 am, and requires a passcode to access. The passcode will be sent in the weekly seminar announcement. If you are interested, but do not have access to the passcode, please contact Dr. Qiu.

Want to suggest a speaker? Send email to one of the organizer Jingmei Qiu.

Information about the Courtyard Newark - University of Delaware Hotel

 

 

Dr. Jinchao Xu, Penn State UniversityDr. Jinchao Xu, Penn State UniversityZoomTitle: The Finite Neuron Method and Convergence Analysis <br> <p> <a href="https://www.mathsci.udel.edu/content-sub-site/Documents/abstract2020.pdf">Abstract</a></p> 10/2/2020 3:00:00 PM10/2/2020 4:00:00 PMFalse
Kyle Mandli, Columbia UniversityKyle Mandli, Columbia UniversityZoomTitle: Numerical Methods for Predicting Coastal Flooding With Uncertainty <br> Abstract: Coastal hazards related to strong storms are one of the most ubiquitous of hazards to coastal communities throughout the world. In particular storm surge, the rise of the sea surface in response to wind and pressure forcing from these storms, can have a devastating effect at the coastline. Changes to the climate only compound the need for predictive tools that can also handle the uncertainty inherent in climate predictions. Computational approaches are of course the goto tool for dealing with these difficulties but it is a far from trivial problem. The problem is inherently multi-scale, the uncertainties difficult to represent, and the hyperbolic structure of the most well-used set of representative equations, the shallow water equations, presents additional issues when looking for low-rank approximations. <br> This talk will describe many of these difficulties, where they come from, and what research efforts are attempting to address them. This includes extensions to the shallow water equations, techniques for representing the uncertainty and measuring sensitivity in the problem, and finally how reduce order modeling may help to produce low-rank approximations to hyperbolic equations in general.10/9/2020 3:00:00 PM10/9/2020 4:00:00 PMFalse
Qingguo Hong, Penn State UniversityQingguo Hong, Penn State UniversityZoomTitle: TBA <br> Abstract: TBA10/16/2020 3:00:00 PM10/16/2020 4:00:00 PMFalse
Chunmei Wang, Texas Tech UniversityChunmei Wang, Texas Tech UniversityZoomTitle: TBA <br> Abstract: TBA10/23/2020 3:00:00 PM10/23/2020 4:00:00 PMFalse

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  • Department of Mathematical Sciences
  • University of Delaware
  • 501 Ewing Hall
  • Newark, DE 19716, USA
  • Phone: 302-831-2653
  • math-questions@udel.edu