Patrick Kürschner

Orcid: 0000-0002-6114-8821

According to our database1, Patrick Kürschner authored at least 16 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Inexact linear solves in the low-rank ADI iteration for large Sylvester equations.
CoRR, 2023

2021
Systems of Polynomial Equations, Higher-Order Tensor Decompositions, and Multidimensional Harmonic Retrieval: A Unifying Framework. Part II: The Block Term Decomposition.
SIAM J. Matrix Anal. Appl., 2021

On the convergence of Krylov methods with low-rank truncations.
Numer. Algorithms, 2021

2020
Collected MATLAB solvers for large-scale AREs.
Dataset, February, 2020

A Numerical Comparison of Different Solvers for Large-Scale, Continuous-Time Algebraic Riccati Equations and LQR Problems.
SIAM J. Sci. Comput., 2020

Low-rank updates and divide-and-conquer methods for quadratic matrix equations.
Numer. Algorithms, 2020

Combined error estimates for local fluctuations of SPDEs.
Adv. Comput. Math., 2020

2018
An output error bound for time-limited balanced truncation.
Syst. Control. Lett., 2018

RADI: a low-rank ADI-type algorithm for large scale algebraic Riccati equations.
Numerische Mathematik, 2018

GMRES Convergence Bounds for Eigenvalue Problems.
Comput. Methods Appl. Math., 2018

Balanced truncation model order reduction in limited time intervals for large systems.
Adv. Comput. Math., 2018

2016
Frequency-Limited Balanced Truncation with Low-Rank Approximations.
SIAM J. Sci. Comput., 2016

Low-rank Newton-ADI methods for large nonsymmetric algebraic Riccati equations.
J. Frankl. Inst., 2016

2015
Tuned preconditioners for inexact two-sided inverse and Rayleigh quotient iteration.
Numer. Linear Algebra Appl., 2015

2014
Computing real low-rank solutions of Sylvester equations by the factored ADI method.
Comput. Math. Appl., 2014

2013
Efficient handling of complex shift parameters in the low-rank Cholesky factor ADI method.
Numer. Algorithms, 2013


  Loading...