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

The purpose of Sayas Numerics Seminar is

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:



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
Sept. 15 Cleve Moler (MathWorks)
How the SVD saves the universe
Sept. 22 Dongbin Xiu (Ohio State University)
Data driven governing equations recovery with deep neural networks
Sept. 29 Roozbeh Yousefzadeh (Yale University)
Deep learning interpretation: flip points and homotopy methods
Ratna Khatri (U.S. Naval Research Laboratory)
Fractional deep neural network via constrained optimization
Deepanshu Verma (George Mason University)
Fractional optimal control problems with states constraints: algorithm and analysis
Oct.  6 Tamara G. Kolda (Sandia National Laboratories)
Practical leverage-based sampling for low-rank tensor decomposition
Oct. 13 Lars Ruthotto (Emory University)
Machine learning meets optimal transport: old solutions for new problems and vice versa
slides, paper 12
Oct. 20 Kevin Williamson (University of Maryland, Baltimore County)
Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem
Steven Roberts (Virginia Tech)
Parallel implicit-explicit general linear methods
Faycal Chaouqui (Temple University)
On optimal coarse grid correction for the Optimized Schwarz Method
Oct. 27 Akil Narayan (University of Utah)
Multivariate positive quadrature rules and computational Tchakaloff theorems
Nov.  3 Denis Ridzal (Sandia National Laboratories)
ALESQP: An augmented Lagrangian equality-constrained SQP method for function-space optimization with general constraints
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


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)