Conference on Random Matrix Theory and Numerical Linear Algebra

The Conference on Random Matrix Theory and Numerical Linear Algebra will take place June 20-24, 2022 at the University of Washington in Seattle. The conference aims to bring together researchers from areas such as random matrix theory, numerical linear algebra, mathematical physics, randomized algorithms, high-dimensional statistics, optimization and theoretical computer science to discuss recent developments and cutting-edge techniques. We are particularly interested in having attendees and speakers from one area who may have less exposure to other areas.

Topics to be considered include the average-case behavior of numerical algorithms, random perturbations of matrices, random graphs, randomized algorithms, matrix concentration inequalities, floating-point behavior of algorithms and many, many more.

In addition to a week of research talks, this conference will feature minicourses by Ioana Dumitriu (UCSD) and Sean O'Rourke (CU Boulder) and a poster session.

While speakers are selected by invitation only, attendees are encouraged to apply to present a poster within the registration form.

We would like to thank the NSF for support via CAREER grant NSF-DMS-1945652 and thank the Department of Applied Mathematics at the University of Washington for staffing and organizational support. This conference has been endorsed by the Pacific Institute for the Mathematical Sciences and participation is conditional on adherence to the PIMS code of conduct.