Scientific Computing and Matrix Computations Seminar

Organized by James Demmel and Ming Gu

Spring 2017

Wednesdays 11:10AM-12:00Noon in 380 Soda Hall.


Past Seminars


Current Schedule















Date Speaker Affiliation Talk
Jan. 18 Lek-Heng Lim
University of Chicago
Fastest algorithms for structured matrices via algebra
Jan. 25
Shusen Wang
UC Berkeley
Sketched Ridge Regression
Feb. 1
Jianwei Xiao
UC Berkeley
Finite precision stability analysis of randomized QR factorization with column pivoting
Feb. 8
Beresford Parlett
UC Berkeley
Fiedler and almost-tridiagonal matrices
Feb. 15
Martin Lee
MediaX, Stanford University
Acorn Magic: How linear algebra solves optimization problems non- linearly and why do it?
Feb. 22
Joe Grcar
LBNL, retired
Research Trends in Numerical Analysis
Mar. 1
Yuan YAO
Hong Kong University of Science and Technology
Sparse Recovery via Differential Inclusions
Mar. 8
Inderjit Dhillon
UT Austin
Sparse inverse covariance matrix estimation for a million variables
Mar. 15


No seminar
Mar. 22
Daniel Robinson
Johns Hopkins University
Scalable optimization algorithms for large-scale subspace clustering
Mar. 29


Spring Break
Apr. 5
Wei Hu
LBNL
Interpolative Separable Density Fitting Decomposition for Accelerating Hybrid Density Functional Calculations with Applications to Defects in Large Scale Silicon
Apr. 12
Youngsoo Choi
Lawrence Livermore National Lab.
Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction
Apr. 19
Shiyu Tan
Shanghai Institute of Optics and Fine Mechanics, CAS
Image Reconstruction in Snapshot Spectral GISC camera
Apr. 26
Yuehua Feng
Xiamen University, China
Randomized Complete Pivoting for Solving Symmetric Indefinite Linear Systems