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| Hauptseite > Publikationsdatenbank > Parareal for diffusion problems with space- and time-dependent coefficients > print |
| Hauptseite > Publikationsdatenbank > Parareal for diffusion problems with space- and time-dependent coefficients > print |
| 001 | 151267 | ||
| 005 | 20230310131358.0 | ||
| 037 | _ | _ | |a FZJ-2014-01258 |
| 100 | 1 | _ | |a Ruprecht, Daniel |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Parareal for diffusion problems with space- and time-dependent coefficients |
| 260 | _ | _ | |c 2014 |
| 336 | 7 | _ | |a Preprint |b preprint |m preprint |0 PUB:(DE-HGF)25 |s 1412863005_26712 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a WORKING_PAPER |2 ORCID |
| 336 | 7 | _ | |a preprint |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Working Paper |2 DataCite |
| 336 | 7 | _ | |a Electronic Article |0 28 |2 EndNote |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 520 | _ | _ | |a For the time-parallel Parareal method, there exists both numerical and analytical proof that it converges very well for diffusive problems like the heat equation. Many applications, however, do not lead to simple homogeneous diffusive scenarios but feature strongly inhomogeneous and possibly anisotropic coefficients. The paper presents results from a numerical study of how space- and time-dependent coefficients in a diffusion setup affect Parareal's convergence behaviour. It is shown that, for the presented examples, non-constant diffusion coefficients have only marginal influence on how fast Parareal converges. Furthermore, an example is shown that illustrates how for linear problems the maximum singular value of the Parareal iteration matrix can be used to estimate convergence rates. |
| 536 | _ | _ | |a 411 - Computational Science and Mathematical Methods (POF2-411) |0 G:(DE-HGF)POF2-411 |c POF2-411 |x 0 |f POF II |
| 536 | _ | _ | |a DFG project 450829162 - Raum-Zeit-parallele Simulation multimodale Energiesystemen (450829162) |0 G:(GEPRIS)450829162 |c 450829162 |x 1 |
| 588 | _ | _ | |a Dataset connected to arXivarXiv |
| 700 | 1 | _ | |a Speck, Robert |0 P:(DE-Juel1)132268 |b 1 |u fzj |
| 700 | 1 | _ | |a Krause, Rolf |0 P:(DE-HGF)0 |b 2 |
| 856 | 4 | _ | |u http://arxiv.org/abs/1401.7829 |
| 909 | C | O | |o oai:juser.fz-juelich.de:151267 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)132268 |
| 913 | 2 | _ | |a DE-HGF |b POF III |l Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Supercomputing & Big Data |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Schlüsseltechnologien |l Supercomputing |1 G:(DE-HGF)POF2-410 |0 G:(DE-HGF)POF2-411 |2 G:(DE-HGF)POF2-400 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF2 |
| 914 | 1 | _ | |y 2014 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a preprint |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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