Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7]
Solution of statistical inverse problems via the frequentist or Bayesian approaches described in earlier chapters can be a computationally intensive endeavor, particularly when faced with large-scale forward models characteristic of many engineering and science applications. High computational cost...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
John Wiley & Sons
2016
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| Online Access: | http://hdl.handle.net/1721.1/105500 https://orcid.org/0000-0001-8242-3290 https://orcid.org/0000-0003-2156-9338 |