2016-11-16: New paper on transient bounds posted on arXiv
2016-10-19: Talking about power grids at Argonne
2016-10-03: Software Club in the Cornell Chronicle
2016-09-12: First meeting of the Scientific Software Club
2016-08-29: First SCAN seminar of the semester
New algorithms for diagnosing line failures in a smart grid.
Fast spectral tools for graph structure.
Generalizing classic eigenvalue localization results (e.g. Gershgorin).
Asynchronous parallel algorithms for finding minima fast by fitting functions to surrogate models.
CU Scientific Software Club
Numerical Methods for Data Science (CS 6241)
Spring 2018. TTh 2:55-4:10 PM, Hollister B14.
Discussion of numerical methods in the context of machine learning and data analysis problems. We will discuss sparsity, rank structure, and spectral behavior of underlying linear algebra problems; convergence behavior and implicit regularization for standard solvers; and comparisons between numerical methods in data analysis and those used in physical simulations.
SCAN Seminar (CS/MATH 7290)
Ongoing. M 1:25-2:15, Gates 406.
The Scientific Computing and Numerics seminar series focuses on various methods in scientific computing, the analysis of convergence properties and computational efficiency, and their adaptation to specific applications.