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 114. Meeting details are included in the weekly seminar announcements.

Date	Speaker and Title
Sep 12	David Bindel (Department of Computer Science, Cornell University) Optimizing magnetic confinement devices for fusion plasmas
Sep 19	William Clark (Department of Mathematics, Cornell University) Some Strange Phenomena in Discontinuous Systems
Sep 26	Chris Earls (Department of Civil and Environmental Engineering, Cornell University) Gaining mechanistic insight through learning Green's functions: Uncovering the solutions to hidden PDEs
Oct 03	Maximilian Engel (Institute for Mathematics, FU Berlin) A Galerkin Approach to Slow Manifolds in Infinite Dimensions and Their Extension Around Non-Hyperbolic Singularities
Oct 17	Kangbo Li (Cornell University) Variational Formulation of Localized Wannier Functions and Rapid Convergence
Oct 24	Jeff Calder (Department of Mathematics, University of Minnesota) Partial differential equations and graph-based learning
Oct 31	Levon Nurbekyan (Department of Mathematics, UCLA) Mean-field games
Nov 07	José Montiel Olea (Department of Economics, Cornell University) Best (Worst-Case) Linear Predictors
Nov 14	Vasileios Charisopoulos (Cornell University) Communication-efficient distributed eigenspace estimation
Nov 21	TBA
Nov 28	Sam Otto (University of Washington) Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance
Dec 05	Andrew Horning (Department of Mathematics, MIT) Differentiating functionals of data-sparse matrix factors