Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations

Micha┼é Bosy; Victorita Dolean; Gabriel R. Barrenechea

doi:10.1553/etna_vol49s41

Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations

Micha┼é Bosy
, Victorita Dolean
, Gabriel R. Barrenechea

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	s41-s63
Journal	European Journal of Forest Research
Volume	49
Early online date	20 Apr 2018
DOIs	https://doi.org/10.1553/etna_vol49s41
Publication status	Published - 2018

Bibliographical note

Note: ISBN: 9783700182580

This work was supported by the Engineering and Physical Sciences Research Council under the Numerical Algorithms
and Intelligent Software (NAIS) for the evolving HPC platform grant EP/G036136/1.

Keywords

Applied mathematics

Access to Document

10.1553/etna_vol49s41

https://doi.org/10.1553/etna_vol49s41

Cite this

@article{9eb4046397e04e59afe75a3d3a333e05,

title = "Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations",

keywords = "Applied mathematics",

author = "Micha┼{\'e} Bosy and Victorita Dolean and Barrenechea, \{Gabriel R.\}",

note = "Note: ISBN: 9783700182580 This work was supported by the Engineering and Physical Sciences Research Council under the Numerical Algorithms and Intelligent Software (NAIS) for the evolving HPC platform grant EP/G036136/1.",

year = "2018",

doi = "10.1553/etna\_vol49s41",

language = "English",

volume = "49",

journal = "European Journal of Forest Research",

issn = "1612-4669",

publisher = "Springer Science and Business Media Deutschland GmbH",

}

TY - JOUR

T1 - Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations

AU - Bosy, Micha┼é

AU - Dolean, Victorita

AU - Barrenechea, Gabriel R.

N1 - Note: ISBN: 9783700182580 This work was supported by the Engineering and Physical Sciences Research Council under the Numerical Algorithms and Intelligent Software (NAIS) for the evolving HPC platform grant EP/G036136/1.

PY - 2018

Y1 - 2018

KW - Applied mathematics

U2 - 10.1553/etna_vol49s41

DO - 10.1553/etna_vol49s41

M3 - Article

SN - 1612-4669

VL - 49

JO - European Journal of Forest Research

JF - European Journal of Forest Research

M1 - s41-s63

ER -