Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for an efficient solution of statistical inverse problems governed by partial differential equations with distributed parameters. Large-scale models are too costly to evaluate repeatedl...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society of Industrial and Applied Mathematics (SIAM)
2011
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| Online Access: | http://hdl.handle.net/1721.1/60569 https://orcid.org/0000-0003-2156-9338 |