Numerical Linear Algebra

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

Caltech

Invited speakers

University of Mons

University of Pisa

Scuola Normale Superiore

UC Berkeley

University of Pisa

Charles University

North Carolina State University

University of Cambridge

Sorbonne Université

Universidad Carlos III

TU Berlin

UC San Diego

Virginia Tech

University of Mons

University of Oxford