Computing low‐rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods-Reference-Cited by-同舟云学术

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Computing low‐rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods

Published:2021-06-14 Issue:6 Volume:28 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer Linear Algebra Appl

Author:

Kandolf Peter¹,Koskela Antti²,Relton Samuel D.³,Schweitzer Marcel⁴^ORCID

Affiliation:

1. Zentraler Informatikdienst, Zentrale Systeme Universität Innsbruck Innsbruck Austria

2. Department of Computer Science University of Helsinki Helsinki Finland

3. Leeds Institute of Health Sciences The University of Leeds Leeds UK

4. Mathematisch‐Naturwissenschaftliche Fakultät Heinrich‐Heine‐Universität Düsseldorf Düsseldorf Germany

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2401

Reference60 articles.

1. Network Properties Revealed through Matrix Functions

2. On Krylov Subspace Approximations to the Matrix Exponential Operator

3. Exponential integrators

4. Exponential Integrators for Large Systems of Differential Equations

5. Computing survival functions of the sum of two independent Markov processes: an application to bladder carcinoma treatment

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