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Title: Second-order convergence of the linearly extrapolated Crank–Nicolson method for the Navier–Stokes equations with H1 initial data
Authors: Li, B 
Ma, S 
Wang, N
Issue Date: Sep-2021
Source: Journal of scientific computing, Sept. 2021, v. 88, no. 3, 70
Abstract: This article concerns the numerical approximation of the two-dimensional nonstationary Navier–Stokes equations with H1 initial data. By utilizing special locally refined temporal stepsizes, we prove that the linearly extrapolated Crank–Nicolson scheme, with the usual stabilized Taylor–Hood finite element method in space, can achieve second-order convergence in time and space. Numerical examples are provided to support the theoretical analysis.
Keywords: Error estimate
Linearly extrapolated Crank–Nicolson method
Locally refined stepsizes
Navier–Stokes equations
Nonsmooth initial data
Publisher: Springer
Journal: Journal of scientific computing 
ISSN: 0885-7474
DOI: 10.1007/s10915-021-01588-8
Rights: © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10915-021-01588-8
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