Coarse graining turbulence: modeling and data-driven approaches and their applications
We live in a turbulent world observed through coarse grained lenses. Coarse graining (CG), however, is not only a limit but also a need imposed by the enormous amount of data produced by modern simulations. Target audiences for our survey are graduate students, basic research scientists, and profess...
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| Weitere beteiligte Personen: | , , |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2025
|
| Links: | https://doi.org/10.1017/9781009377379 |
| Zusammenfassung: | We live in a turbulent world observed through coarse grained lenses. Coarse graining (CG), however, is not only a limit but also a need imposed by the enormous amount of data produced by modern simulations. Target audiences for our survey are graduate students, basic research scientists, and professionals involved in the design and analysis of complex turbulent flows. The ideal readers of this book are researchers with a basic knowledge of fluid mechanics, turbulence, computing, and statistical methods, who are disposed to enlarging their understanding of the fundamentals of CG and are interested in examining different methods applied to managing a chaotic world observed through coarse-grained lenses. |
| Umfang: | 1 Online-Ressource (xiv, 566 Seiten) |
| ISBN: | 9781009377379 |
Internformat
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| indexdate | 2025-03-03T11:57:59Z |
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| spelling | Coarse graining turbulence modeling and data-driven approaches and their applications [edited by] Fernando F. Grinstein, Filipe S. Pereira, Massimo Germano Cambridge Cambridge University Press 2025 1 Online-Ressource (xiv, 566 Seiten) txt c cr We live in a turbulent world observed through coarse grained lenses. Coarse graining (CG), however, is not only a limit but also a need imposed by the enormous amount of data produced by modern simulations. Target audiences for our survey are graduate students, basic research scientists, and professionals involved in the design and analysis of complex turbulent flows. The ideal readers of this book are researchers with a basic knowledge of fluid mechanics, turbulence, computing, and statistical methods, who are disposed to enlarging their understanding of the fundamentals of CG and are interested in examining different methods applied to managing a chaotic world observed through coarse-grained lenses. Germano, Massimo 1942- Grinstein, Fernando F. Pereira, Filipe S. Erscheint auch als Druck-Ausgabe 9781009377348 |
| spellingShingle | Coarse graining turbulence modeling and data-driven approaches and their applications |
| title | Coarse graining turbulence modeling and data-driven approaches and their applications |
| title_auth | Coarse graining turbulence modeling and data-driven approaches and their applications |
| title_exact_search | Coarse graining turbulence modeling and data-driven approaches and their applications |
| title_full | Coarse graining turbulence modeling and data-driven approaches and their applications [edited by] Fernando F. Grinstein, Filipe S. Pereira, Massimo Germano |
| title_fullStr | Coarse graining turbulence modeling and data-driven approaches and their applications [edited by] Fernando F. Grinstein, Filipe S. Pereira, Massimo Germano |
| title_full_unstemmed | Coarse graining turbulence modeling and data-driven approaches and their applications [edited by] Fernando F. Grinstein, Filipe S. Pereira, Massimo Germano |
| title_short | Coarse graining turbulence |
| title_sort | coarse graining turbulence modeling and data driven approaches and their applications |
| title_sub | modeling and data-driven approaches and their applications |
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