Online adaptive basis enrichment for mixed CEM-GMsFEM
Chung, Eric T. ; Pun, Sai-Mang
arXiv, 1810.10730 / Harvested from arXiv
In this research, an online basis enrichment strategy for constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) in mixed formulation is proposed. The online approach is based on the technique of oversampling. One makes use of the information of residual and the data in the partial differential equation such as the source function. The analysis presented shows that the proposed online enrichment leads to a fast convergence from multiscale approximation to the fine-scale solution. The error reduction can be made sufficiently large by suitably selecting oversampling regions and the number of oversampling layers. Also, the convergence rate of the enrichment can be tuned by a user-defined parameter. Numerical results are provided to illustrate the efficiency of the proposed method.
Publié le : 2018-10-25
Classification:  Mathematics - Numerical Analysis,  65N30
@article{1810.10730,
     author = {Chung, Eric T. and Pun, Sai-Mang},
     title = {Online adaptive basis enrichment for mixed CEM-GMsFEM},
     journal = {arXiv},
     volume = {2018},
     number = {0},
     year = {2018},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1810.10730}
}
Chung, Eric T.; Pun, Sai-Mang. Online adaptive basis enrichment for mixed CEM-GMsFEM. arXiv, Tome 2018 (2018) no. 0, . http://gdmltest.u-ga.fr/item/1810.10730/