A Posteriori Error Analysis for a New Fully Mixed Isotropic Discretization of the Stationary Stokes-Darcy Coupled Problem

Joint Authors

Wilfrid, Houédanou Koffi
Jamal, Adetola
Mohamed, Allaoui

Source

Abstract and Applied Analysis

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-10-12

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Mathematics

Abstract EN

In this paper, we develop an a posteriori error analysis for the stationary Stokes-Darcy coupled problem approximated by conforming the finite element method on isotropic meshes in ℝd, d∈2,3.

The approach utilizes a new robust stabilized fully mixed discretization.

The a posteriori error estimate is based on a suitable evaluation on the residual of the finite element solution plus the stabilization terms.

It is proven that the a posteriori error estimate provided in this paper is both reliable and efficient.

American Psychological Association (APA)

Wilfrid, Houédanou Koffi& Jamal, Adetola& Mohamed, Allaoui. 2020. A Posteriori Error Analysis for a New Fully Mixed Isotropic Discretization of the Stationary Stokes-Darcy Coupled Problem. Abstract and Applied Analysis،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1119966

Modern Language Association (MLA)

Wilfrid, Houédanou Koffi…[et al.]. A Posteriori Error Analysis for a New Fully Mixed Isotropic Discretization of the Stationary Stokes-Darcy Coupled Problem. Abstract and Applied Analysis No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1119966

American Medical Association (AMA)

Wilfrid, Houédanou Koffi& Jamal, Adetola& Mohamed, Allaoui. A Posteriori Error Analysis for a New Fully Mixed Isotropic Discretization of the Stationary Stokes-Darcy Coupled Problem. Abstract and Applied Analysis. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1119966

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1119966