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 1:25-2:15pm EST in Gates 122 (except on October 7 and November 11 when we will be in Upson 222). Meeting details are included in the weekly seminar announcements.

Date	Speaker and Title
Aug 26	Daniele Visioni (Cornell EAS) Understanding future Climate Intervention strategies through climate modelling
Sep 09
Sep 16	Jacob Mays (Cornell CEE) Markets for Low-Carbon Power
Sep 23	Nicolás García Trillos (UW Madison) Minimax rates for the learning of spectra of differential operators from data
Sep 30	Sean Carney (Union College) Uncertainty in Uncertainty and Rockafellian Relaxation
Oct 07	Nils Deppe (Cornell Physics) A discontinuous Galerkin-finite difference hybrid method for simulating colliding stars
Oct 21	Ajeet Kumar (Applied Mechanics, IIT Delhi) Multiscale and multi-physics mechanics involving highly flexible nano and continuum rods
Oct 28	Yunan Yang (Cornell Math) Optimal Transport-Based Learning for Inverse Problems
Nov 04	Sam Otto (MAE, Cornell University) Operator Learning Without the Adjoint
Nov 11	Anastasia Bizyaeva (MAE, Cornell University) Integral-form sparse model selection for stochastic differential equations
Nov 18
Nov 25	Riley Culberg (Cornell EAS) Remote Sensing of Ice Sheet Hydrology in a Changing Climate: Medium Data, Big Uncertainty
Dec 02
Dec 09