| Title |
Refined saddle-point preconditioners for discretized Stokes problems
|
|---|---|
| Published in |
Numerische Mathematik, July 2017
|
| DOI | 10.1007/s00211-017-0908-4 |
| Pubmed ID | |
| Authors |
John W. Pearson, Jennifer Pestana, David J. Silvester |
| Abstract |
This paper is concerned with the implementation of efficient solution algorithms for elliptic problems with constraints. We establish theory which shows that including a simple scaling within well-established block diagonal preconditioners for Stokes problems can result in significantly faster convergence when applying the preconditioned MINRES method. The codes used in the numerical studies are available online. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 25% |
| Student > Ph. D. Student | 2 | 25% |
| Researcher | 2 | 25% |
| Professor | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 6 | 75% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2017.
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#15,472,268
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Outputs from Numerische Mathematik
#192
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Outputs of similar age from Numerische Mathematik
#1
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