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Convergent Adaptive Wavelet Methods for the Stokes Problem. / Dahlke, Stephan; Hochmuth, Reinhard; Urban, Karsten.
Multigrid Methods VI: Proceedings of the Sixth European Multigrid Conference Held in Gent, Belgium, September 27-30, 1999. ed. / Eric Dick; K. Riemslagh; J. Vierendeels. 1. ed. Berlin : Springer, 2000. p. 66-72 (Lecture Notes in Computational Science and Engineering; Vol. 14).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Dahlke, S
, Hochmuth, R & Urban, K 2000,
Convergent Adaptive Wavelet Methods for the Stokes Problem. in E Dick, K Riemslagh & J Vierendeels (eds),
Multigrid Methods VI: Proceedings of the Sixth European Multigrid Conference Held in Gent, Belgium, September 27-30, 1999. 1 edn, Lecture Notes in Computational Science and Engineering, vol. 14, Springer, Berlin, pp. 66-72, European Multigrid Conference 1999 , Gent, Belgium,
27.09.99.
https://doi.org/10.1007/978-3-642-58312-4_8APA
Dahlke, S.
, Hochmuth, R., & Urban, K. (2000).
Convergent Adaptive Wavelet Methods for the Stokes Problem. In E. Dick, K. Riemslagh, & J. Vierendeels (Eds.),
Multigrid Methods VI: Proceedings of the Sixth European Multigrid Conference Held in Gent, Belgium, September 27-30, 1999 (1 ed., pp. 66-72). (Lecture Notes in Computational Science and Engineering; Vol. 14). Springer.
https://doi.org/10.1007/978-3-642-58312-4_8Vancouver
Dahlke S
, Hochmuth R, Urban K.
Convergent Adaptive Wavelet Methods for the Stokes Problem. In Dick E, Riemslagh K, Vierendeels J, editors, Multigrid Methods VI: Proceedings of the Sixth European Multigrid Conference Held in Gent, Belgium, September 27-30, 1999. 1 ed. Berlin: Springer. 2000. p. 66-72. (Lecture Notes in Computational Science and Engineering). doi: 10.1007/978-3-642-58312-4_8
Bibtex
@inbook{a617cddbb628458e9914b80000239aa9,
title = "Convergent Adaptive Wavelet Methods for the Stokes Problem",
abstract = "We consider wavelet discretizations for the Stokes problem in the mixed and divergence free variational formulation. For both cases, we present convergent adaptive multiscale strategies. Moreover, for adaptive wavelet discretizations of the mixed formulation we provide an easy to implement criterion for enforcing stability.",
keywords = "Mathematics, Mixed Formulation, Stokes Problem, Multiscale Method, Saddle Point Problem, Adaptive Wavelet",
author = "Stephan Dahlke and Reinhard Hochmuth and Karsten Urban",
note = "The work of the first two authors has been supported by Deutsche Forschungs-gemeinschaft (DFG) under Grants Da 117/13–1 and Ho 1846/1–1, respectively. Moreover, this work was supported by the European Commission within the TMR project (Training and Mobility for Researchers) Wavelets and Multiscale Methods in Numerical Analysis and Simulation, No. ERB FMRX CT98 018T4. This paper was written when the third author was in residence at the Istituto di Analisi Numerica del C.N.R. in Pavia, Italy.; European Multigrid Conference 1999 ; Conference date: 27-09-1999 Through 30-09-1999",
year = "2000",
month = jan,
day = "1",
doi = "10.1007/978-3-642-58312-4_8",
language = "English",
isbn = "3-540-67157-9",
series = "Lecture Notes in Computational Science and Engineering",
publisher = "Springer",
pages = "66--72",
editor = "Eric Dick and K. Riemslagh and J. Vierendeels",
booktitle = "Multigrid Methods VI",
address = "Germany",
edition = "1",
}
RIS
TY - CHAP
T1 - Convergent Adaptive Wavelet Methods for the Stokes Problem
AU - Dahlke, Stephan
AU - Hochmuth, Reinhard
AU - Urban, Karsten
N1 - Conference code: 6
PY - 2000/1/1
Y1 - 2000/1/1
N2 - We consider wavelet discretizations for the Stokes problem in the mixed and divergence free variational formulation. For both cases, we present convergent adaptive multiscale strategies. Moreover, for adaptive wavelet discretizations of the mixed formulation we provide an easy to implement criterion for enforcing stability.
AB - We consider wavelet discretizations for the Stokes problem in the mixed and divergence free variational formulation. For both cases, we present convergent adaptive multiscale strategies. Moreover, for adaptive wavelet discretizations of the mixed formulation we provide an easy to implement criterion for enforcing stability.
KW - Mathematics
KW - Mixed Formulation
KW - Stokes Problem
KW - Multiscale Method
KW - Saddle Point Problem
KW - Adaptive Wavelet
UR - https://www.mendeley.com/catalogue/33fcdfe7-d0e1-3a18-9d19-b06cf4e6eb5d/
U2 - 10.1007/978-3-642-58312-4_8
DO - 10.1007/978-3-642-58312-4_8
M3 - Article in conference proceedings
SN - 3-540-67157-9
SN - 978-3540-67157-2
T3 - Lecture Notes in Computational Science and Engineering
SP - 66
EP - 72
BT - Multigrid Methods VI
A2 - Dick, Eric
A2 - Riemslagh, K.
A2 - Vierendeels, J.
PB - Springer
CY - Berlin
T2 - European Multigrid Conference 1999
Y2 - 27 September 1999 through 30 September 1999
ER -
