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 28	Yuqian Zhang (CS, Cornell University) Nonconvex Sparse Blind Deconvolution: Geometry and Algorithm
Feb 04
Feb 11	Mateo Diaz (CAM, Cornell) Composite optimization for blind deconvolution
	Junteng Jia (CS, Cornell) Graph-based Semi-Supervised Active Learning for Edge Flows
Feb 18	Monika Nitsche (Math and Stats, The University of New Mexico) Vortex Shedding and Low Order Models
Mar 04	Mike Stillman (Math, Cornell University) Computational algebraic geometry and Macaulay2
Mar 11	Mike Stillman (Math, Cornell University) Computational algebraic geometry and Macaulay2
Mar 18	Mike Stillman (Math, Cornell University) Computational algebraic geometry and Macaulay2
Mar 25	Ian Ellwood (Neurobiology and behavior, Cornell University) Adversarial Entropy Systems. A new approach to modeling distributions with a generator
Apr 08
Apr 15	Eston Schweickart (CS, Cornell) Animating elastic rods with sound
Apr 22	Tianyi Shi (CAM, Cornell University) Numerical tensor-train ranks and tensor displacement structure
	Heather Wilber (CAM, Cornell University) Compression properties in rank-structured Toeplitz solvers
Apr 29	Cameron Musco (Microsoft Research New England) A universal sampling method for reconstructing signals with simple Fourier transforms.
May 06	Rediet Abebe (CS, Cornell) Subsidy Allocations in the Presence of Income Shocks