Compress‐and‐restart block Krylov subspace methods for Sylvester matrix equations-Reference-Cited by-同舟云学术

Compress‐and‐restart block Krylov subspace methods for Sylvester matrix equations

Published:2020-10-13 Issue:1 Volume:28 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer Linear Algebra Appl

Author:

Kressner Daniel¹^ORCID,Lund Kathryn²^ORCID,Massei Stefano³^ORCID,Palitta Davide⁴^ORCID

Affiliation:

1. Institute for Mathematics EPF Lausanne Lausanne Switzerland

2. Department of Numerical Mathematics, Faculty of Mathematics and Physics Charles University Prague Czech Republic

3. Centre for Analysis, Scientific Computing and Applications (CASA) TU/e Eindhoven The Netherlands

4. Research Group Computational Methods in Systems and Control Theory (CSC) Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany

Funder

Univerzita Karlova v Praze

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2339

Reference55 articles.

1. Fast Singular Value Decay for Lyapunov Solutions with Nonnormal Coefficients

2. Existence of a low rank or ℋ︁-matrix approximant to the solution of a Sylvester equation

3. Eigenvalue decay bounds for solutions of Lyapunov equations: the symmetric case

4. Approximation of Large-Scale Dynamical Systems

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