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.
We are happy to welcome the EMS Distinguished Lecturer Volker Mehrmann as a participant in our workshop!
Organizers
Aalto University
Princeton University
University of Manchester
Speakers
Semi-plenary speakers
University of Pisa
INRIA
Caltech
KU Leuven
Invited speakers
Charles University
UT Austin
North Carolina State University
University of Manchester
University of Cambridge
Aalto University