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Postdoctoral research associate of KU Leuven, Electrical Engineering (ESAT/STADIUS), Campus Kulak Kortrijk

Office: Campus Kulak Kortrijk, Etienne Sabbelaan 53, 8500 Kortrijk, Belgium

Email: patrick[dot]kurschner[at]kuleuven[dot]be

Research interest:

Numerical and applied (multi)linear algebra, methods for eigenvalue problems, linear systems, matrix equations and matrix functions, preconditioning, model order reduction, (generalized) Krylov subspace methods, tensor methods, mathematical system and control theory, multivariate polynomials, computational aspects of digital signal processing & data science

Pic (c) ebel[at]mpi-magdeburg[dot]mpg[dot]de, 2017


New Paper:

Combined Error Estimates for Local Fluctuations of SPDEs with Christian Kuehn, Advances in Computational Mathematics: 46(11), 2020 [preprint]

New Paper:

Greedy low-rank algorithm for spatial connectome regression, with Sergey Dolgov, Kameron D. Harris, Peter Benner, J. Math. Neurosc., 2019 [preprint] [code/data]

Updated Preprint:

01/2020: On the convergence of Krylov methods with low-rank truncations with D. Palitta, initial version 09/2019

M.M.E.S.S. 2.0 released

The M.E.S.S. developers of MPI Magdeburg have released version 2.0 of the MATLAB and OCTAVE package for solving large, sparse matrix equations.

New Paper:

Low-rank updates and divide-and-conquer methods for quadratic matrix equations with Daniel Kressner, Stefano Massei, Numer. Algorithms, 2019 [preprint]

Updated Preprint:

05/2019: Inexact methods for the low rank solution to large scale Lyapunov equations with M. Freitag, initial version 09/2018