SAYAS NUMERICS SEMINAR Online Seminar on Computational Mathematics

SAYAS NUMERICS SEMINAR is a weekly online seminar in Fall 2020 and Spring 2021 on computational mathematics organized by the mathematics departments of

• University of Maryland, College Park
• University of Maryland, Baltimore County
• George Mason University
• University of Delaware

The purpose of Sayas Numerics Seminar is

• to connect researchers of computational mathematics in VA, MD, DC, DE and adjacent areas
• to provide opportunities to students, postdocs and other early career researchers

This is also the purpose of the annual meeting Sayas Numerics Day (formerly Delmar Numerics Day) which cannot take place in 2020 because of Corona virus.

Sayas Numerics Day and Sayas Numerics Seminar are named in honor of Francisco Javier Sayas (1968-2019). In addition to his many other achievements, he played a key role in establishing and running DelMar Numerics Day, and was dedicated to its mission of giving especially younger mathematicians an opportunity to share their work.

Presentation honoring Francisco Javier Sayas, given by R. Nochetto at DelMar Numerics Day 2019.

Sayas Numerics Seminar has the following features for early career researchers:

• Each semester there are twelve contributed talks (20 minutes) by early career researchers.
• After each invited talk we try to have a discussion with the speaker about research directions and job opportunities in the current unusual situation.
  We encourage early career researchers in the audience to stay in the meeting and ask questions about this.

REGISTRATION      REGISTER NOW!

REGISTRATION FORM

• Registration is required for attending the Zoom talks.
• Researchers from anywhere in the world are welcome to register and attend the Zoom talks.
• We will send you the Zoom link on each Sunday before a talk. The Zoom link is the same for all talks.

FALL 2020 SCHEDULE   (all seminars start at 3:30pm Eastern Time)

Sept.  8	Qiang Du (Columbia University) From integrating to learning dynamics: new studies on linear multistep methods	video
Sept. 15	Cleve Moler (MathWorks) How the SVD saves the universe	video
Sept. 22	Dongbin Xiu (Ohio State University) Data driven governing equations recovery with deep neural networks	video
Sept. 29	Roozbeh Yousefzadeh (Yale University) Deep learning interpretation: flip points and homotopy methods	video
	Ratna Khatri (U.S. Naval Research Laboratory) Fractional deep neural network via constrained optimization	video
	Deepanshu Verma (George Mason University) Fractional optimal control problems with states constraints: algorithm and analysis	video
Oct.  6	Tamara G. Kolda (Sandia National Laboratories) Practical leverage-based sampling for low-rank tensor decomposition	slides, paper video
Oct. 13	Lars Ruthotto (Emory University) Machine learning meets optimal transport: old solutions for new problems and vice versa	slides, paper 1, 2 video
Oct. 20	Kevin Williamson (University of Maryland, Baltimore County) Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem	video
	Steven Roberts (Virginia Tech) Parallel implicit-explicit general linear methods	slides, paper video
	Faycal Chaouqui (Temple University) On optimal coarse grid correction for the Optimized Schwarz Method	paper video
Oct. 27	Akil Narayan (University of Utah) Multivariate positive quadrature rules and computational Tchakaloff theorems	video
Nov.  3	Denis Ridzal (Sandia National Laboratories) ALESQP: An augmented Lagrangian equality-constrained SQP method for function-space optimization with general constraints	slides
Nov. 10	Akwum Onwunta (George Mason University) Efficient solvers for nonlinear Bayesian statistical inverse problems
	Jeahyun Park (University of Tennessee) Preconditioned accelerated gradient descent methods for locally Lipschitz smooth objectives with applications to the solution of nonlinear partial differential equations
	Yangwen Zhang (University of Delaware) L∞ error estimates of HDG methods for Poisson equations
Nov. 17	Tzanio Kolev (Lawrence Livermore National Laboratory) Scalable high-order finite elements for compressible hydrodynamics
Dec.  1	Andreas Prohl (Universität Tübingen, Germany): Numerical methods and analysis of the stochastic Navier-Stokes equations
Dec.  8	Samuel Potter (University of Maryland, College Park) Jet marching methods for solving the eikonal equation
	Shuo Yang (University of Maryland, College Park) LDG approximation of deformations of bilayer plates
	Vladimir Yushutin (University of Maryland, College Park) An unfitted method for harmonic map flows into S2

SCIENTIFIC COMMITTEE

Harbir Antil	(George Mason University)
Andrei Draganescu	(U of Maryland, Baltimore County)
Ricardo H. Nochetto	(U of Maryland, College Park)
Petr Plechac	(U of Delaware)
Tobias von Petersdorff	(U of Maryland, College Park)