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, 1:25-2:15 pm, over Zoom. Meeting details are included in the weekly seminar announcements.

Date	Speaker and Title
Jan 27	Anil Damle (Computer Science, Cornell University) Uniform invariant subspace perturbation theory and applications
Feb 03	Florian Wechsung (Courant Institute) Reynolds-robust preconditioning for the incompressible Navier-Stokes equations
Feb 10
Feb 17	Vasilis Charisopoulos (ORIE, Cornell University) Entrywise convergence of iterative methods for eigenproblems
	Cole Miles (Physics, Cornell University) Stochastic optimal control of a sailboat
Mar 02	Katherine Meyer (Mathematics, Cornell University) Computing the Intensity of an Attractor
Mar 09	Nate Veldt (Center for Applied Mathematics, Cornell) Practical Techniques for Metric-Constrained Optimization
Mar 23	No seminar
Apr 06	Andy Borum (Mathematics, Cornell University) Inverse optimal control for path-constrained systems
Apr 13	Alice Nadeau (Mathematics, Cornell University) Detecting rate-dependent tipping with numerical stability spectra
Apr 20	Silke Glas (Computer Science, Cornell University) Stellarator Optimization
Apr 27	Yunan Yang (Courant Institute) The joint power of deterministic and Bayesian approaches for seismic inverse problems
May 04	Robert Gower (Telecom Paris) Expected smoothness is the key to understanding mini-batching for stochastic gradient methods
May 10
May 11	Elliot Cartee (Mathematics, Cornell University) Quantifying and managing uncertainty in Piecewise-Deterministic Markov Processes
	Mark Gluzman (CAM, Cornell University) Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory