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 1:30-2:20pm EST in Gates Hall G13. Meeting details are included in the weekly seminar announcements.

Date	Speaker and Title
Sep 27	Feng Bao (Mathematics, Florida State University) An Efficient Numerical Algorithm for Data Driven Feedback Optimal Control
Oct 04	Arvind Saibaba (North Carolina State University) Structured matrix approximations via tensor decompositions
Oct 18	Kathrin Smetana (Mathematical Sciences, Stevens Institute of Technology) Randomized Local Model Order Reduction for Nonlinear Partial Differential Equations
Oct 25	Sheehan Olver (Imperial College London) Infinite Linear Algebra + Interval Arithmetic
Nov 01	Weilin Li (Courant Institute, NYU) Super-resolution, subspace methods, and Fourier matrices
Nov 08	Matthew Colbrook (University of Cambridge) Infinite-Dimensional Spectral Computations
Nov 15
Nov 22	Melvin Leok (Mathematics, UC San Diego) The Connections Between Discrete Geometric Mechanics, Information Geometry, Accelerated Optimization and Machine Learning
Nov 29	Karianne Bergen (Brown University) Big data for small earthquakes: Data mining, deep learning and explainable AI
Dec 06	Marissa Gee (CAM, Cornell University)
	John Ryan (CS, Cornell University)