Seminar Archives

This the archive page for our ongoing Seminars in Numerical Analysis series. Please find the historical (<2021) archives in the left pane, or find a later archived event below.

18 maart 2022 12:30 t/m 13:30

Espen Sande: Outlier-free isogeometric discretizations

21 januari 2022 12:30

Mengwu Guo: Options of Bayesian Methods for Data-Driven Model Reduction

17 december 2021 12:30

CANCELED: Iryna Rybak: Interface conditions for arbitrary flows in Stokes-Darcy systems

19 november 2021 12:30

Peter Bastian: Multilevel Spectral Domain Decomposition Methods

21 mei 2021 12:30

Victorita Dolean: Robust solvers for time harmonic wave propagation problems

16 april 2021 12:30

Stefanie Elgeti: Errors in Judgement in Engineering: What Can They Teach Us about the Design Process?

19 maart 2021 12:30

Jennifer Scott: Large-scale least squares problems: tackling the fill challenge

Large-scale linear least-squares problems arise in a wide range of practical applications. In some cases, the system matrix is sparse except for a small number of dense rows. These make the problem significantly harder to solve because their presence limits the applicability of sparse matrix techniques. In particular, the normal matrix is
(close to) dense, so that forming it is impractical.

19 februari 2021 12:30