College of Liberal Arts & Sciences
Numerical Analysis Seminars
This group runs the following weekly seminars:
Numerical Analysis: No seminars in Spring 2020.
There are no upcoming Numerical Analysis seminars at this time.
Recent Archived Seminars

Numerical Analysis Seminar
Topic: Learning nonlinear operators via DeepONet based on the universal approximation theorem of operatorsSpeaker: Lu Lu, Massachusetts Institute of TechnologyMay 04, 2021 
Numerical Analysis Seminar
Topic: Data Compression Techniques for Largescale PDE SimulationsSpeaker: Alireza Doostan, UC BoulderApr 27, 2021 
Numerical Analysis Seminar
Topic: A kmedoids approach to exploring districting plansSpeaker: Jared GroveApr 20, 2021 
Numerical Analysis Seminar
Topic: Transport methods for likelihoodfree inference and nonlinear filteringSpeaker: Youssef Marzouk, MITApr 13, 2021 
Numerical Analysis Seminar
Topic: A Deep Direct Sampling Method for Solving Electrical Impedance TomographySpeaker: Ruochi Guo, UC IrvineMar 30, 2021 
Numerical Analysis Seminar
Topic: Predicting the COVID19 pandemic with uncertainties using datadriven modelsSpeaker: Guang Lin, Purdue UniversityMar 23, 2021 
Numerical Analysis Seminar
Topic: Datadriven molecular modeling with the generalized Langevin equationSpeaker: Nathan BakerMar 16, 2021 
Numerical Analysis Seminar
Topic: Towards mathematical understanding of modern MLSpeaker: Yeonjong ShinMar 09, 2021 
Numerical Analysis Seminar
Topic: Linearly implicit GARK schemesSpeaker: Adrian SanduFeb 23, 2021 
Numerical Analysis Seminar
Topic: A universal parallel predictor algorithm of arbitrarily high order for implicit methods applied to IVPsSpeaker: Laurent JayFeb 16, 2021 
Numerical Analysis Seminar
Topic: Hemivariational Inequalities: Minimization Principles and ApplicationsSpeaker: Weimin HanFeb 09, 2021 
Numerical Analysis Seminar
Topic: Nonconforming virtual element method for a stationary Stokes hemivariational inequality with slip boundary conditionSpeaker: Min LingFeb 02, 2021 
Numerical Analysis Seminar
Topic: Datadriven learning of effective coefficients from multiscale solution dataSpeaker: Jun Sur R. ParkJan 26, 2021