A Superlinear Convergence Estimate for the Parareal Schwarz Waveform Relaxation Algorithm

Gander, Martin Jakob; Jiang, Yao-Lin; Song, Bo

doi:10.1137/18M1177226

Scientific article

English

A Superlinear Convergence Estimate for the Parareal Schwarz Waveform Relaxation Algorithm

ContributorsGander, Martin Jakob; Jiang, Yao-Lin; Song, Bo

Published inSIAM journal on scientific computing, vol. 41, no. 2, p. A1148-A1169

Publication date2019-04-16

First online date2019-04-16

Affiliation entities

Faculté des sciences / Section de mathématiques

Citation (ISO format)

GANDER, Martin Jakob, JIANG, Yao-Lin, SONG, Bo. A Superlinear Convergence Estimate for the Parareal Schwarz Waveform Relaxation Algorithm. In: SIAM journal on scientific computing, 2019, vol. 41, n° 2, p. A1148–A1169. doi: 10.1137/18M1177226

Article (Published version)

Identifiers

PID : unige:168645
DOI : 10.1137/18M1177226

Additional URL for this publicationhttps://epubs.siam.org/doi/10.1137/18M1177226

Journal ISSN1064-8275

51views

173downloads

Creation10/05/2023 12:52:44

First validation10/05/2023 13:23:02

Update10/05/2023 13:23:02

Status update10/05/2023 13:23:02

Last indexation01/11/2024 04:59:10

Archive ouverte UNIGE

A Superlinear Convergence Estimate for the Parareal Schwarz Waveform Relaxation Algorithm

Technical informations