The focus of this seminar is various methods in scientific computing, the analysis of their convergence properties and computational efficiency, and their adaptation to specific applications.

The seminar meets Mondays, 1:50-2:40pm EST, over Zoom. Meeting details are included in the weekly seminar announcements.

Date	Speaker and Title
Sep 14	Abe Davis (Computer Science, Cornell University) Augmenting Imagination: Capturing, Modeling, and Exploring the World Through Video
Sep 21	Yuji Nakatsukasa (Mathematics, University of Oxford) Fast and stable randomized low-rank matrix approximation
Sep 28	Qin Li (Mathematics, UW-Madison) Low rank structure in the forward and inverse kinetic theory
Oct 05	Jonas Juul (Center for Applied Mathematics, Cornell University) Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles (and how to fix it?)
Oct 12	Daniele Venturi (Applied Mathematics, UCSC) Dynamic tensor approximation of high-dimensional nonlinear PDEs
Oct 19	Bart Vandereycken (Mathematics, Universite de Geneve) Multilevel Riemannian optimization for low-rank problems
Oct 26	Keaton Burns (Mathematics, MIT) Challenges in the large-scale solution of PDEs with modern spectral methods
Nov 02	Eileen Martin (Mathematics, Virginia Tech) Scalable algorithms to pull signals out of noise on large sensor networks
Nov 09	Erin Carson (Numerical Mathematics, Charles University) High-Performance Mixed Precision Numerical Linear Algebra
Nov 30	Francesco Tudisco (Gran Sasso Science Institute) Learning with nonlinear (Perron) eigenvectors
Dec 07	Chris Rackauckas (Mathematics, MIT) Stiffness in Scientific Machine Learning
Dec 14	Jingjie Yeo (Mechanical and Aerospace Engineering, Cornell) Towards Multiscale Computational Design of Bioinspired Smart Materials