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.
  If you already registered in the fall you don't have to register again.
• Researchers from anywhere in the world are welcome to register and attend the Zoom talks.
• We will send you the Zoom link on each Monday before a talk. The Zoom link is the same for all talks.

SPRING 2021 SCHEDULE   (all seminars start at 3:30pm Eastern Time)

Jan. 26	Dianne O'Leary (University of Maryland, College Park) Using flip points to understand and debug deep learning models	video
Feb.  2	Rainald Löhner (George Mason University) Detailed simulation of viral propagation and mitigation in the built environment	slides, links
Feb.  9	Thomas Anderson (University of Michigan) Hybrid frequency-time analysis and numerical methods for time-dependent wave propagation	video
	Sebastian Naranjo (Oregon State University) A virtual element method for magnetohydrodynamics	video
	Ming Zhong (Johns Hopkins University) Learning collective dynamics from trajectory data	video
Feb. 16	Andy Wathen (Oxford University, UK) Parallel preconditioning for time-dependent PDEs and PDE control	video
Feb. 23	Isaac Harris (Purdue University) Direct sampling algorithms for inverse scattering	video
	Wenbo Li (University of Tennessee, Knoxville) Time fractional gradient flows: theory and numerics	video
	Bowei Wu (University of Texas at Austin) Quadrature by zeta correction	slides video
March  2	Houman Owhadi (California Institute of Technology) On learning kernels for numerical approximation and learning	video
March  9	Jinchao Xu (Pennsylvania State University) Finite Element and Neural Network	video
March 16	Andrew Childs (University of Maryland, College Park) Efficient quantum algorithm for dissipative nonlinear differential equations	video
March 23	E. K. Hathibelagal Kammara (University of Maryland, Baltimore County) Column partition based distributed algorithms for coupled convex sparse optimization: dual and exact regularization approaches	video
	Jin-Peng Liu (University of Maryland, College Park) Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance	video
	Chao Chen (University of Texas at Austin) RCHOL: randomized Cholesky factorization for solving SDD linear systems	video
March 30	Eric Cances (École des Ponts ParisTech, France) Iterative methods in quantum chemistry and first-principle materials science
April  6	Karen Willcox (University of Texas at Austin) Operator Inference: Bridging model reduction and scientific machine learning	video
April 13	Andrew Stuart (California Institute of Technology) Inverse problems without adjoints	slides video
April 20	Stephen Moore (University of Cape Coast, Ghana) Space-time multi-patch discontinuous Galerkin isogeometric analysis for parabolic evolution problems	video
	Adrian Ruf (ETH Zurich, Switzerland) Flux-stability for conservation laws with discontinuous flux and convergence rates of the front tracking method	video
	Espen Sande (University of Rome Tor Vergata, Italy) Best low-rank approximations and Kolmogorov n-widths	video
April 27	Christoph Schwab (ETH Zurich, Switzerland) Multilevel approximation of Gaussian random fields: Covariance compression, estimation and spatial prediction	slides
May  4	Emil Constantinescu (Argonne National Laboratory) Time stepping differential equations with a posteriori error estimation

FALL 2020 SCHEDULE

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	video
	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	video
	Yangwen Zhang (University of Delaware) L∞ error estimates of HDG methods for Poisson equations	video
Nov. 17	Tzanio Kolev (Lawrence Livermore National Laboratory) Scalable high-order finite elements for compressible hydrodynamics	video
Dec.  1	Andreas Prohl (Universität Tübingen, Germany): Numerical methods and analysis of the stochastic Navier-Stokes equations	video
Dec.  8	Samuel Potter (University of Maryland, College Park) Jet marching methods for solving the eikonal equation	video
	Shuo Yang (University of Maryland, College Park) LDG approximation of deformations of bilayer plates	video
	Vladimir Yushutin (University of Maryland, College Park) An unfitted method for harmonic map flows into S2	video

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)