RandLRAP Project Workshop (final workshop)

The 3rd Project Workshop will take place on Monday, March 18 and on Tuesday, March 19, 2024. The book of abstracts for the workshop is available here.

RandLRAP Project Workshop Report #4

08.02.2024 12:15 Extending randomized low-rank approximation techniques to parameter-dependent problems Hei Yin Lam, EPFL Lausanne, Švicarska
08.02.2024 13:15 Parallel implementations of Riemannian conjugate gradient methods for joint approximate diagonalization Nela Bosner

An additional talk ina preparatory session has been held by Christian Engstrom.

01.06.2023 12:15 Spectral properties of Maxwell operator functions 105

RandLRAP Project Workshop Report #3

Was organised as a minisymposium PDE Eigenvalue Problems: Computational Modeling and Numerical Analysis at the ESCO 2022 conference. The aim of this minisymposium and project workshop was to present a broad survey of recent work on eigenvalue problems for partial differential equations, considering eigenvalue/vector computations both from the perspective of numerical analysis and in terms of applications for which such computations play an important role.

RandLRAP Project Workshop Report #2

First session

Talks:

12.05.2022 12:00Data-driven reduced-order modeling of dynamical systems using frequency/time-domain measurementsIon Victor Gosea, MPI Magdeburg, Germany
12.05.2022 13:15Randomised subspace-accelerated method for solving nonlinear thermoacoustic eigenvalue problemsLuka Grubišić
12.05.2022 14:15Efficient algorithms for joint approximate diagonalization of multiple matricesNela Bosner

Second session

02.06.2022 12:00Adaptive parametric model order reduction strategies for locally resonant structuresQuirin Aumann, Magdeburg, Germany
02.06.2022 13:15Mathematical modeling of stents as a network of elastic rodsJosip Tambača

Third session

09.06.2022 12:00 Advances in Structure-Preserving Model Reduction ‪Matthias Voigt
UniDistance Suisse, Brig, Switzerland
09.06.2022 13:15 Detecting Near Resonances in Acoustic Scattering Luka Grubišić