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Reproduction material: Data assimilation finite element method for the linearized Navier-Stokes equations with higher order polynomial approximation

Authors: Burman, Erik; Garg, Deepika; Preuss, Janosch;

Reproduction material: Data assimilation finite element method for the linearized Navier-Stokes equations with higher order polynomial approximation

Abstract

This is a Docker image containing all software and instructions to reproduce the numerical experiments in the paper "Data assimilation finite element method for the linearized Navier-Stokes equations with higher order polynomial approximation" (E. Burman, D. Garg, J. Preuss). The image has been built based on the github repository github.com/UCL/linearized-NSE-data-assimilation. Please consider the README file of said repository for instructions on how to load the image and get started with the reproduction.

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Keywords

linearized Navier--Stokes' equations, data assimilation, stabilized finite element methods, error estimates, linearized Navier--Stokes' equations, data assimilation, stabilized finite element methods, error estimates

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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.
BIP!Popularity provided by BIP!
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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