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Modeling and inverse problems in the presence of uncertainty
Modeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification. It covers two sources of uncertainty: where uncertainty is present primarily due to measurement errors and where u...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Taylor and Francis
2014
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1701411 |
| _version_ | 1780936268610273280 |
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| author | Banks, H T Hu, Shuhua Thompson, W Clayton |
| author_facet | Banks, H T Hu, Shuhua Thompson, W Clayton |
| author_sort | Banks, H T |
| collection | CERN |
| description | Modeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification. It covers two sources of uncertainty: where uncertainty is present primarily due to measurement errors and where uncertainty is present due to the modeling formulation itself. After a useful review of relevant probability and statistical concepts, the book summarizes mathematical and statistical aspects of inverse problem methodology, including ordinary, weighted, and generalized least-squares formulations. It then |
| id | cern-1701411 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| publisher | Taylor and Francis |
| record_format | invenio |
| spelling | cern-17014112021-04-21T21:02:31Zhttp://cds.cern.ch/record/1701411engBanks, H THu, ShuhuaThompson, W ClaytonModeling and inverse problems in the presence of uncertaintyMathematical Physics and MathematicsModeling and Inverse Problems in the Presence of Uncertainty collects recent research-including the authors' own substantial projects-on uncertainty propagation and quantification. It covers two sources of uncertainty: where uncertainty is present primarily due to measurement errors and where uncertainty is present due to the modeling formulation itself. After a useful review of relevant probability and statistical concepts, the book summarizes mathematical and statistical aspects of inverse problem methodology, including ordinary, weighted, and generalized least-squares formulations. It then Taylor and Francisoai:cds.cern.ch:17014112014 |
| spellingShingle | Mathematical Physics and Mathematics Banks, H T Hu, Shuhua Thompson, W Clayton Modeling and inverse problems in the presence of uncertainty |
| title | Modeling and inverse problems in the presence of uncertainty |
| title_full | Modeling and inverse problems in the presence of uncertainty |
| title_fullStr | Modeling and inverse problems in the presence of uncertainty |
| title_full_unstemmed | Modeling and inverse problems in the presence of uncertainty |
| title_short | Modeling and inverse problems in the presence of uncertainty |
| title_sort | modeling and inverse problems in the presence of uncertainty |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/1701411 |
| work_keys_str_mv | AT banksht modelingandinverseproblemsinthepresenceofuncertainty AT hushuhua modelingandinverseproblemsinthepresenceofuncertainty AT thompsonwclayton modelingandinverseproblemsinthepresenceofuncertainty |