Computing low-rank approximations of the Frechet derivative of a matrix function using Krylov subspace methods

Year of publication

2021

Authors

Kandolf, Peter; Koskela, Antti; Relton, Samuel D.; Schweitzer, Marcel

Organizations and authors

University of Helsinki

Koskela Antti

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Numerical Linear Algebra with Applications

Parent publication name

Numerical Linear Algebra with Applications

Volume

Issue

Article number

2401

ISSN

1070-5325

Publication forum

64270

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

License of the publisher’s version

CC BY NC ND

Self-archived

Yes

License of the self-archived publication

CC BY NC ND

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

DOI

10.1002/nla.2401

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes