Automated Goal-Oriented Error Control I: Stationary Variational Problems
This article presents a general and novel approach to the automation of goal-oriented error control in the solution of nonlinear stationary finite element variational problems. The approach is based on automated linearization to obtain the linearized dual problem, automated derivation and evaluation...
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Published in | SIAM journal on scientific computing Vol. 35; no. 3; pp. C173 - C193 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Philadelphia
Society for Industrial and Applied Mathematics
01.01.2013
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Subjects | |
Online Access | Get full text |
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Abstract | This article presents a general and novel approach to the automation of goal-oriented error control in the solution of nonlinear stationary finite element variational problems. The approach is based on automated linearization to obtain the linearized dual problem, automated derivation and evaluation of a posteriori error estimates, and automated adaptive mesh refinement to control the error in a given goal functional to within a given tolerance. Numerical examples representing a variety of different discretizations of linear and nonlinear partial differential equations are presented, including Poisson's equation, a mixed formulation of linear elasticity, and the incompressible Navier--Stokes equations. [PUBLICATION ABSTRACT] |
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AbstractList | This article presents a general and novel approach to the automation of goal-oriented error control in the solution of nonlinear stationary finite element variational problems. The approach is based on automated linearization to obtain the linearized dual problem, automated derivation and evaluation of a posteriori error estimates, and automated adaptive mesh refinement to control the error in a given goal functional to within a given tolerance. Numerical examples representing a variety of different discretizations of linear and nonlinear partial differential equations are presented, including Poisson's equation, a mixed formulation of linear elasticity, and the incompressible Navier--Stokes equations. This article presents a general and novel approach to the automation of goal-oriented error control in the solution of nonlinear stationary finite element variational problems. The approach is based on automated linearization to obtain the linearized dual problem, automated derivation and evaluation of a posteriori error estimates, and automated adaptive mesh refinement to control the error in a given goal functional to within a given tolerance. Numerical examples representing a variety of different discretizations of linear and nonlinear partial differential equations are presented, including Poisson's equation, a mixed formulation of linear elasticity, and the incompressible Navier--Stokes equations. [PUBLICATION ABSTRACT] This article presents a general and novel approach to the automation of goal-oriented error control in the solution of nonlinear stationary finite element variational problems. The approach is based on automated linearization to obtain the linearized dual problem, automated derivation and evaluation of a posteriori error estimates, and automated adaptive mesh refinement to control the error in a given goal functional to within a given tolerance. Numerical examples representing a variety of different discretizations of linear and nonlinear partial differential equations are presented, including Poisson's equation, a mixed formulation of linear elasticity, and the incompressible Navier- Stokes equations. © 2013 Society for Industrial and Applied Mathematics. |
Author | Rognes, Marie E Logg, Anders |
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BackLink | https://research.chalmers.se/publication/191173$$DView record from Swedish Publication Index |
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CitedBy_id | crossref_primary_10_1016_j_apm_2019_07_055 crossref_primary_10_1145_2998441 crossref_primary_10_1016_j_jcp_2017_02_072 crossref_primary_10_1016_j_simpat_2021_102464 crossref_primary_10_1093_imanum_draa068 crossref_primary_10_1007_s00366_019_00890_2 crossref_primary_10_1016_j_camwa_2023_07_008 crossref_primary_10_1016_j_camwa_2022_11_009 crossref_primary_10_1016_j_cma_2014_12_003 crossref_primary_10_1017_jfm_2019_271 crossref_primary_10_1007_s10208_015_9298_0 |
Cites_doi | 10.1016/S0045-7825(98)00347-8 10.1051/m2an:2000136 10.1007/s002110050270 10.1137/0730048 10.1137/S1064827503417198 10.1002/nme.513 10.1142/S0218202599000129 10.1137/0733054 10.1002/cnm.1087 10.1145/1268769.1268771 10.1002/fld.269 10.1051/m2an/1994280708151 10.1023/A:1014291224961 10.1007/s00211-004-0519-8 10.1007/BF01390056 10.1007/s004660050288 10.1145/1163641.1163644 10.1007/s11831-007-9003-9 10.1137/S0036142994264079 10.1017/S0962492901000010 10.1093/imanum/drm026 10.1016/S0045-7825(98)00093-0 10.1137/0715049 10.1090/S0025-5718-1985-0777265-X 10.1142/S0218396X01000668 10.1145/1039813.1039820 10.1017/S0962492900002531 10.1007/978-3-642-59721-3_34 10.1145/1731022.1731030 10.1051/0004-6361:20011411 |
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SubjectTerms | A posteriori Adaptivity Algorithms Approximation Automated Automation Discretization Dual problem Error control Errors Estimates Finite element method Laboratories Mathematical analysis Mathematical functions Mathematical models Nonlinear Nonlinearity Poisson equation |
Title | Automated Goal-Oriented Error Control I: Stationary Variational Problems |
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