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Uncertainty quantification for hyperbolic and kinetic equations
This book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment metho...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-67110-9 http://cds.cern.ch/record/2311279 |
_version_ | 1780957875607175168 |
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author | Jin, Shi Pareschi, Lorenzo |
author_facet | Jin, Shi Pareschi, Lorenzo |
author_sort | Jin, Shi |
collection | CERN |
description | This book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment methods. The interest in these topics is rapidly growing, as their applications have now expanded to many areas in engineering, physics, biology and the social sciences. Accordingly, the book provides the scientific community with a topical overview of the latest research efforts. |
id | cern-2311279 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Springer |
record_format | invenio |
spelling | cern-23112792021-04-21T18:52:31Zdoi:10.1007/978-3-319-67110-9http://cds.cern.ch/record/2311279engJin, ShiPareschi, LorenzoUncertainty quantification for hyperbolic and kinetic equationsMathematical Physics and MathematicsThis book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment methods. The interest in these topics is rapidly growing, as their applications have now expanded to many areas in engineering, physics, biology and the social sciences. Accordingly, the book provides the scientific community with a topical overview of the latest research efforts.Springeroai:cds.cern.ch:23112792017 |
spellingShingle | Mathematical Physics and Mathematics Jin, Shi Pareschi, Lorenzo Uncertainty quantification for hyperbolic and kinetic equations |
title | Uncertainty quantification for hyperbolic and kinetic equations |
title_full | Uncertainty quantification for hyperbolic and kinetic equations |
title_fullStr | Uncertainty quantification for hyperbolic and kinetic equations |
title_full_unstemmed | Uncertainty quantification for hyperbolic and kinetic equations |
title_short | Uncertainty quantification for hyperbolic and kinetic equations |
title_sort | uncertainty quantification for hyperbolic and kinetic equations |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-67110-9 http://cds.cern.ch/record/2311279 |
work_keys_str_mv | AT jinshi uncertaintyquantificationforhyperbolicandkineticequations AT pareschilorenzo uncertaintyquantificationforhyperbolicandkineticequations |