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Parallel-in-Time/pySDC: Asymptotic convergence

Authors: Speck, Robert;

Parallel-in-Time/pySDC: Asymptotic convergence

Abstract

This release includes the most recent codes to create the results used for the paper "Asymptotic convergence of the parallel full approximation scheme in space and time for linear problems". All scripts can be found in projects/AsympConv.

{"references": ["Bolten M, Moser D, Speck R. Asymptotic convergence of the parallel full approximation scheme in space and time for linear problems. Numer Linear Algebra Appl. 2018;e2208. https://doi.org/10.1002/nla.2208"]}

Keywords

parallel-in-time, PFASST, convergence, convergence, PFASST, parallel-in-time, multigrid

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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