High dimensional finite elements for elliptic problems with multiple scales and stochastic data
Fuente:
arXiv
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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2003
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914099552583680 |
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| author | Schwab, Christoph |
| author_facet | Schwab, Christoph |
| contents | Multiple scale homogenization problems are reduced to single scale problems in higher dimension. It is shown that sparse tensor product Finite Element Methods (FEM) allow the numerical solution in complexity independent of the dimension and of the length scale. Problems with stochastic input data are reformulated as high dimensional deterministic problems for the statistical moments of the random solution. Sparse tensor product FEM give a deterministic solution algorithm of log-linear complexity for statistical moments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_math_0305007 |
| institution | arXiv |
| publishDate | 2003 |
| record_format | arxiv |
| spellingShingle | High dimensional finite elements for elliptic problems with multiple scales and stochastic data Schwab, Christoph Numerical Analysis 65N30 Multiple scale homogenization problems are reduced to single scale problems in higher dimension. It is shown that sparse tensor product Finite Element Methods (FEM) allow the numerical solution in complexity independent of the dimension and of the length scale. Problems with stochastic input data are reformulated as high dimensional deterministic problems for the statistical moments of the random solution. Sparse tensor product FEM give a deterministic solution algorithm of log-linear complexity for statistical moments. |
| title | High dimensional finite elements for elliptic problems with multiple scales and stochastic data |
| topic | Numerical Analysis 65N30 |
| url | https://arxiv.org/abs/math/0305007 |