An Adaptive Superconvergent Mixed Finite Element Method Based on Local Residual Minimization-Reference-Cited by-同舟云学术

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An Adaptive Superconvergent Mixed Finite Element Method Based on Local Residual Minimization

Published:2023-09-14 Issue:5 Volume:61 Page:2084-2105
ISSN:0036-1429
Container-title:SIAM Journal on Numerical Analysis
language:en
Short-container-title:SIAM J. Numer. Anal.

Author:

Muga Ignacio¹²,Rojas Sergio²,Vega Patrick³^ORCID

Affiliation:

1. Basque Center for Applied Mathematics (BCAM), 48009 Bilbao, Spain.

2. Instituto de Matemáticas, Pontificia Universidad Católica de Valparaíso, 2350050 Valparaíso, Chile.

3. Departamento de Matemática y Ciencia de la Computación, Universidad de Santiago de Chile, Santiago, Chile.

Funder

Chilean National Agency for Research and Development

Horizon 2020 Framework Programme

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Numerical Analysis,Applied Mathematics,Computational Mathematics

Reference48 articles.

1. Efficiency Based Adaptive Local Refinement for First-Order System Least-Squares Formulations

2. Non-uniform order mixed FEM approximation: Implementation, post-processing, computable error bound and adaptivity

3. A Posteriori Error Estimation in Finite Element Analysis

4. Analysis of an adaptive HDG method for the Brinkman problem

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