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, in 406 Gates Hall.

Date	Speaker and Title
Jan 30	Yi Wang (BME+Weill, Cornell) Bayesian Image Reconstruction 2
Feb 06	Fengqi You (ChemE, Cornell) When Machine Learning Meets Robust Optimization: Data-driven Adaptive Robust Optimization Models, Algorithms & Applications
Feb 13
Feb 20	February Break
Feb 27	Roseanna Zia (CBE, Cornell) Cancelled
Mar 06	David Bindel (CS, Cornell) Fast Fingerprints for Power System Events
Mar 13	John Guckenheimer (Math, Cornell) Data Driven Analysis of Dynamical Systems
Mar 20	John Guckenheimer (Math, Cornell) Data Driven Analysis of Dynamical Systems
Mar 27	Alex Townsend (Math, Cornell) How to write a top-ten paper in the 21st century
Apr 03	Spring Break
Apr 10	Ben Grimmer (ORIE, Cornell) A First-Order Algorithm for General Convex Optimization
Apr 17	Alex Vladimirsky (Math, Cornell) Dynamic "factoring" techniques
Apr 24	Gaddiel Ouaknin (Cornell, Chem E) Level-Set Strategy for SCFT
May 01	Dante Kalise (RICAM) A computational approach to optimal feedback control design for nonlinear dynamics
May 08	Andrew Loeb (Applied math, Cornell) Assembly-free strategies for massively parallelizable simulations of PDEs