This workshop will survey recent progress in numerical linear algebra, such as, the modern approaches to low-rank approximation, least squares problems, linear systems and spectral estimation. Topics of interest include sparse and structured matrix computations, fast deterministic and randomized algorithms, complexity analysis, and the growing role of numerical linear algebra in computational mathematics, data science, and optimization.
Organizers
Aalto University
Princeton University
University of Manchester
Speakers
Semi-plenary speakers
University of Pisa
INRIA
Caltech
KU Leuven
Invited speakers
Scuola Normale Superiore
UC Berkeley
University of Pisa
Charles University
UT Austin
North Carolina State University
