Details
| Original language | English |
|---|---|
| Pages (from-to) | 286-297 |
| Number of pages | 12 |
| Journal | Computers and Mathematics with Applications |
| Volume | 167 |
| Early online date | 31 May 2024 |
| Publication status | Published - 1 Aug 2024 |
Abstract
We consider goal-oriented adaptive space-time finite-element discretizations of the regularized parabolic p-Laplace problem on completely unstructured simplicial space-time meshes. The adaptivity is driven by the dual-weighted residual (DWR) method since we are interested in an accurate computation of some possibly nonlinear functionals at the solution. Such functionals represent goals in which engineers are often more interested than the solution itself. The DWR method requires the numerical solution of a linear adjoint problem that provides the sensitivities for the mesh refinement. This can be done by means of the same full space-time finite element discretization as used for the primal non-linear problems. The numerical experiments presented demonstrate that this goal-oriented, full space-time finite element solver efficiently provides accurate numerical results for different functionals.
Keywords
- Goal-oriented adaptivity, Regularized parabolic p-Laplacian, Space-time finite element discretization
ASJC Scopus subject areas
- Mathematics(all)
- Modelling and Simulation
- Computer Science(all)
- Computational Theory and Mathematics
- Mathematics(all)
- Computational Mathematics
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In: Computers and Mathematics with Applications, Vol. 167, 01.08.2024, p. 286-297.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Goal-oriented adaptive space-time finite element methods for regularized parabolic p-Laplace problems
AU - Endtmayer, B.
AU - Langer, U.
AU - Schafelner, A.
N1 - Publisher Copyright: © 2024 The Author(s)
PY - 2024/8/1
Y1 - 2024/8/1
N2 - We consider goal-oriented adaptive space-time finite-element discretizations of the regularized parabolic p-Laplace problem on completely unstructured simplicial space-time meshes. The adaptivity is driven by the dual-weighted residual (DWR) method since we are interested in an accurate computation of some possibly nonlinear functionals at the solution. Such functionals represent goals in which engineers are often more interested than the solution itself. The DWR method requires the numerical solution of a linear adjoint problem that provides the sensitivities for the mesh refinement. This can be done by means of the same full space-time finite element discretization as used for the primal non-linear problems. The numerical experiments presented demonstrate that this goal-oriented, full space-time finite element solver efficiently provides accurate numerical results for different functionals.
AB - We consider goal-oriented adaptive space-time finite-element discretizations of the regularized parabolic p-Laplace problem on completely unstructured simplicial space-time meshes. The adaptivity is driven by the dual-weighted residual (DWR) method since we are interested in an accurate computation of some possibly nonlinear functionals at the solution. Such functionals represent goals in which engineers are often more interested than the solution itself. The DWR method requires the numerical solution of a linear adjoint problem that provides the sensitivities for the mesh refinement. This can be done by means of the same full space-time finite element discretization as used for the primal non-linear problems. The numerical experiments presented demonstrate that this goal-oriented, full space-time finite element solver efficiently provides accurate numerical results for different functionals.
KW - Goal-oriented adaptivity
KW - Regularized parabolic p-Laplacian
KW - Space-time finite element discretization
UR - http://www.scopus.com/inward/record.url?scp=85194583611&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2306.07167
DO - 10.48550/arXiv.2306.07167
M3 - Article
AN - SCOPUS:85194583611
VL - 167
SP - 286
EP - 297
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
SN - 0898-1221
ER -