Equilibrated tractions for the Hybrid High-Order method

Daniele A. Di Pietro; Alexandre Ern

doi:10.1016/j.crma.2014.12.009

Equilibrated tractions for the Hybrid High-Order method

Daniele A. Di Pietro
, Alexandre Ern

University of Montpellier (UMR MiVEGEC)

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

We show how to recover equilibrated face tractions for the Hybrid High-Order method for linear elasticity recently introduced in [1], and prove that these tractions are optimally convergent.

Original language	English
Pages (from-to)	279-282
Number of pages	4
Journal	Comptes Rendus Mathematique
Volume	353
Issue number	3
DOIs	https://doi.org/10.1016/j.crma.2014.12.009
Publication status	Published - 1 Mar 2015

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title = "Equilibrated tractions for the Hybrid High-Order method",

abstract = "We show how to recover equilibrated face tractions for the Hybrid High-Order method for linear elasticity recently introduced in [1], and prove that these tractions are optimally convergent.",

author = "\{Di Pietro\}, \{Daniele A.\} and Alexandre Ern",

note = "Publisher Copyright: {\textcopyright} 2015 Acad{\'e}mie des sciences.",

year = "2015",

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doi = "10.1016/j.crma.2014.12.009",

language = "English",

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T1 - Equilibrated tractions for the Hybrid High-Order method

AU - Di Pietro, Daniele A.

AU - Ern, Alexandre

PY - 2015/3/1

Y1 - 2015/3/1

N2 - We show how to recover equilibrated face tractions for the Hybrid High-Order method for linear elasticity recently introduced in [1], and prove that these tractions are optimally convergent.

AB - We show how to recover equilibrated face tractions for the Hybrid High-Order method for linear elasticity recently introduced in [1], and prove that these tractions are optimally convergent.

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U2 - 10.1016/j.crma.2014.12.009

DO - 10.1016/j.crma.2014.12.009

M3 - Article

AN - SCOPUS:84922853257

SN - 1631-073X

VL - 353

SP - 279

EP - 282

JO - Comptes Rendus Mathematique

JF - Comptes Rendus Mathematique

IS - 3

ER -

Equilibrated tractions for the Hybrid High-Order method

Abstract

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