Grading of triangulations generated by bisection

For triangulations generated by the adaptive bisection algorithm by Maubach and Traxler we prove existence of a regularized mesh function with grading two. This sharpens previous results in two dimensions for the newest vertex bisection and generalizes them to arbitrary dimensions. In combination with Diening, Storn, and Tscherpel [SIAM J. Numer. Anal. 59 (2021), pp. 2571–2607] this yields <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper H Superscript 1"> <mml:semantics> <mml:msup> <mml:mi>H</mml:mi> <mml:mn>1</mml:mn> </mml:msup> <mml:annotation encoding="application/x-tex">H^1</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-stability of the <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L squared"> <mml:semantics> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:annotation encoding="application/x-tex">L^2</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-projection onto Lagrange finite element spaces for all polynomial degrees and dimensions smaller than seven.

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Publication Details

Journal
Mathematics of Computation
Published
2025-06-13
DOI
https://doi.org/10.1090/mcom/4102
Citations
1
Primary Topic
Tensor decomposition and applications
Type
article
Field-Weighted Citation Impact
1.53

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article

Grading of triangulations generated by bisection

Lars Diening, Tabea Tscherpel, Johannes Storn
1 citations
Mathematics of Computation
Tensor decomposition and applications
1.53
article

Grading of triangulations generated by bisection

Lars Diening, Tabea Tscherpel, Johannes Storn
article en
1 citations

Abstract

For triangulations generated by the adaptive bisection algorithm by Maubach and Traxler we prove existence of a regularized mesh function with grading two. This sharpens previous results in two dimensions for the newest vertex bisection and generalizes them to arbitrary dimensions. In combination with Diening, Storn, and Tscherpel [SIAM J. Numer. Anal. 59 (2021), pp. 2571–2607] this yields <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper H Superscript 1"> <mml:semantics> <mml:msup> <mml:mi>H</mml:mi> <mml:mn>1</mml:mn> </mml:msup> <mml:annotation encoding="application/x-tex">H^1</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-stability of the <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L squared"> <mml:semantics> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:annotation encoding="application/x-tex">L^2</mml:annotation> </mml:semantics> </mml:math> </inline-formula>-projection onto Lagrange finite element spaces for all polynomial degrees and dimensions smaller than seven.

Mathematics of Computation
Bielefeld University (DE), Hochschule Bielefeld (DE), Technische Universität Darmstadt (DE), Leipzig University (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 18%
Tensor decomposition and applications
1.53
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