Organizers: Ricardo Nochetto, Tobias von Petersdorff
When: Tuesdays @ 3:30pm
Where: ONLINE
Website: Sayas Seminar

In Fall 2020 and Spring 2021 the Numerical Analysis Seminar is replaced by the online Sayas Numerics Seminar. This new seminar is organized jointly by the University of Maryland College Park, University of Maryland Baltimore County, George Mason University, and University of Delaware.

In order to attend the seminar you have to register at https://sayasseminar.math.umd.edu/

Sayas Numerics Seminar

Archives: 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021

  • From integrating to learning dynamics: new studies on Linear Multistep Methods

    Speaker: Qiang Du (Columbia University) -

    When: Tue, September 8, 2020 - 3:30pm
    Where: ONLINE https://sayasseminar.math.umd.edu/
  • How the SVD Saves the Universe

    Speaker: Cleve Moler (MathWorks) -

    When: Tue, September 15, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Data Driven Governing Equations Recovery with Deep Neural Networks

    Speaker: Dongbin Xiu (Ohio State University) -

    When: Tue, September 22, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Deep Learning Interpretation: Flip Points and Homotopy Methods

    Speaker: Roozbeh Yousefzadeh (Yale University) -

    When: Tue, September 29, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Fractional Deep Neural Network via Constrained Optimization

    Speaker: Ratna Khatri (U.S. Naval Research Laboratory) -

    When: Tue, September 29, 2020 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Fractional Optimal Control Problems with States Constraints: Algorithm and Analysis

    Speaker: Deepanshu Verma (George Mason University) -

    When: Tue, September 29, 2020 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition

    Speaker: Tamara G. Kolda (Sandia National Laboratories) -

    When: Tue, October 6, 2020 - 3:30pm
    Where: ONLINE https://sayasseminar.math.umd.edu/
  • Machine Learning meets Optimal Transport: Old solutions for new problems and vice versa

    Speaker: Lars Ruthotto (Emory University) -

    When: Tue, October 13, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem

    Speaker: Kevin Williamson (University of Maryland, Baltimore County) -

    When: Tue, October 20, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Parallel Implicit-Explicit General Linear Methods

    Speaker: Steven Roberts (Virginia Tech) -

    When: Tue, October 20, 2020 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • On optimal coarse grid correction for the Optimized Schwarz Method

    Speaker: Faycal Chaouqui (Temple University) -

    When: Tue, October 20, 2020 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Multivariate positive quadrature rules and computational Tchakaloff theorems

    Speaker: Akil Narayan (University of Utah) -

    When: Tue, October 27, 2020 - 3:30pm
    Where: ONLINE https://sayasseminar.math.umd.edu/
  • ALESQP: An Augmented Lagrangian Equality-constrained SQP Method for Function-space Optimization with General Constraints

    Speaker: Denis Ridzal (Sandia National Laboratories) -

    When: Tue, November 3, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Efficient solvers for nonlinear Bayesian statistical inverse problems

    Speaker: Akwum Onwunta (George Mason University) -

    When: Tue, November 10, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Preconditioned accelerated gradient descent methods for locally Lipschitz smooth objectives with applications to the solution of nonlinear partial differential equations

    Speaker: Jeahyun Park (University of Tennessee) -

    When: Tue, November 10, 2020 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • L infinity error estimates of HDG methods for Poisson equations

    Speaker: Yangwen Zhang (University of Delaware) -

    When: Tue, November 10, 2020 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Scalable High-Order Finite Elements for Compressible Hydrodynamics

    Speaker: Tzanio Kolev (Lawrence Livermore National Laboratory) -

    When: Tue, November 17, 2020 - 3:30pm
    Where: ONLINE https://sayasseminar.math.umd.edu/
  • Numerical methods and analysis of the stochastic Navier-Stokes equations

    Speaker: Andreas Prohl (Universitaet Tuebingen, Germany) -

    When: Tue, December 1, 2020 - 3:30pm
    Where: ONLINE https://sayasseminar.math.umd.edu/
  • Jet Marching Methods for Solving the Eikonal Equation

    Speaker: Samuel Potter (University of Maryland, College Park) -

    When: Tue, December 8, 2020 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • LDG approximation of deformations of bilayer plates

    Speaker: Shuo Yang (University of Maryland, College Park) -

    When: Tue, December 8, 2020 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • An unfitted method for harmonic map flows into S^2

    Speaker: Vladimir Yushutin (University of Maryland, College Park) -

    When: Tue, December 8, 2020 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Using Flip Points to Understand and Debug Deep Learning Models

    Speaker: Dianne O'Leary (University of Maryland, College Park) -

    When: Tue, January 26, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Detailed Simulation of Viral Propagation and Mitigation in the Built Environment

    Speaker: Rainald Lohner (George Mason University) -

    When: Tue, February 2, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Hybrid frequency-time analysis and numerical methods for time-dependent wave propagation

    Speaker: Thomas Anderson (University of Michigan) -

    When: Tue, February 9, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • A Virtual Element Method for Magnetohydrodynamics

    Speaker: Sebastian Naranjo (Oregon State University) -

    When: Tue, February 9, 2021 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Learning Collective Dynamics from Trajectory Data

    Speaker: Ming Zhong (Johns Hopkins University) -

    When: Tue, February 9, 2021 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Parallel preconditioning for time-dependent PDEs and PDE control

    Speaker: Andy Wathen (University of Oxford, UK) -

    When: Tue, February 16, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Direct Sampling Algorithms for Inverse Scattering

    Speaker: Isaac Harris (Purdue University) -

    When: Tue, February 23, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Time Fractional Gradient Flows: Theory and Numerics

    Speaker: Wenbo Li (University of Tennessee, Knoxville) -

    When: Tue, February 23, 2021 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Quadrature by Zeta Correction

    Speaker: Bowei Wu (University of Texas at Austin) -

    When: Tue, February 23, 2021 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • On learning kernels for numerical approximation and learning

    Speaker: Houman Owhadi (California Institute of Technology) -

    When: Tue, March 2, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Finite Element and Neural Network

    Speaker: Jinchao Xu (Pennsylvania State University) -

    When: Tue, March 9, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Efficient quantum algorithm for dissipative nonlinear differential equations

    Speaker: Andrew Childs (Department of Computer Science and Institute for Advanced Computer Studies University of Maryland, College Park) -

    When: Tue, March 16, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Column Partition based Distributed Algorithms for Coupled Convex Sparse Optimization: Dual and Exact Regularization Approaches

    Speaker: E. K. Hathibelagal Kammara (University of Maryland, Baltimore County) -

    When: Tue, March 23, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance

    Speaker: Jin-Peng Liu (University of Maryland, College Park) -

    When: Tue, March 23, 2021 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems

    Speaker: Chao Chen (University of Texas at Austin) -

    When: Tue, March 23, 2021 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Iterative methods in quantum chemistry and first-principle materials science

    Speaker: Eric Cances (Ecole des Ponts ParisTech and INRIA Paris, France) -

    When: Tue, March 30, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Operator Inference: Bridging model reduction and scientific machine learning

    Speaker: Karen Willcox (University of Texas at Austin) -

    When: Tue, April 6, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Inverse Problems Without Adjoints

    Speaker: Andrew Stuart (California Institute of Technology) -

    When: Tue, April 13, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Space-Time Multi-patch Discontinuous Galerkin Isogeometric Analysis for Parabolic Evolution Problems

    Speaker: Stephen Moore (University of Cape Coast, Ghana) -

    When: Tue, April 20, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Flux-stability for conservation laws with discontinuous flux and convergence rates of the front tracking method

    Speaker: Adrian Ruf (ETH Zurich, Switzerland) -

    When: Tue, April 20, 2021 - 3:50pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Best low-rank approximations and Kolmogorov n-widths

    Speaker: Espen Sande (University of Rome Tor Vergata, Italy) -

    When: Tue, April 20, 2021 - 4:10pm
    Where: ONLINE http://sayasseminar.math.umd.edu
  • Multilevel approximation of Gaussian random fields: Covariance compression, estimation and spatial prediction

    Speaker: Christoph Schwab (ETH Zurich, Switzerland) -

    When: Tue, April 27, 2021 - 3:30pm
    Where: ONLINE http://sayasseminar.math.umd.edu