About the event

Randomized linear algebra is arguably among the most exciting developments in computational mathematics, sometimes making possible computations of unprecedented scale. There are currently several important developments in randomized linear algebra, including those in low-rank approximation or the singular value decomposition, solution of least-squares problems, linear systems, eigenvalue problems, and trace estimation, among others. All these have already been applied to great use in a variety of applications, and its importance is promised to steadily increase. Still, significant work remains to be done to turn these developments into robust foolproof algorithms and software on the level of, say, LAPACK. There is great value in exchanging ideas between experts from the different communities to get researchers up-to-date on the cutting-edge developments and main challenges. This is the goal of this workshop, and we hope it will inspire new ideas and launch new collaborations.

Date

Monday to Thursday, June 15-18, 2026

Location

Bernoulli Center for Fundamental Studies

Room GA 3 31 (GA building, 3rd floor)

Lausanne, Switzerland

Registration

Applications are open for limited number of participants (Deadline:  May 22) 

Registration page