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Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
Multi-fidelity modelling enables accurate inference of quantities of interest by synergistically combining realizations of low-cost/low-fidelity models with a small set of high-fidelity observations. This is particularly effective when the low- and high-fidelity models exhibit strong correlations, a...
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| 出版年: | Proc Math Phys Eng Sci |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Royal Society Publishing
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5332612/ https://ncbi.nlm.nih.gov/pubmed/28293137 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2016.0751 |
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