Manifold learning: model reduction in engineering
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2024]
|
| Schriftenreihe: | SpringerBriefs in computer science
|
| Schlagworte: | |
| Online-Zugang: | 20.500.12854/135558 kostenfrei kostenfrei |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783031527647 |
| DOI: | 10.1007/978-3-031-52764-7 |
Internformat
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| author | Ryckelynck, David Casenave, Fabien Akkari, Nissrine |
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| discipline | Informatik |
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| index_date | 2024-07-03T23:33:49Z |
| indexdate | 2025-02-20T06:40:57Z |
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| publisher | Springer |
| record_format | marc |
| series2 | SpringerBriefs in computer science |
| spellingShingle | Ryckelynck, David Casenave, Fabien Akkari, Nissrine Manifold learning model reduction in engineering Machine Learning Statistical Learning Stochastic Modelling Engineering Thermodynamics, Heat and Mass Transfer Industrial and Production Engineering Mathematical Methods in Physics Machine learning Stochastic models Thermodynamics Heat engineering Heat transfer Mass transfer Industrial engineering Production engineering Mathematical physics |
| title | Manifold learning model reduction in engineering |
| title_auth | Manifold learning model reduction in engineering |
| title_exact_search | Manifold learning model reduction in engineering |
| title_exact_search_txtP | Manifold learning model reduction in engineering |
| title_full | Manifold learning model reduction in engineering David Ryckelynck, Fabien Casenave, Nissrine Akkari |
| title_fullStr | Manifold learning model reduction in engineering David Ryckelynck, Fabien Casenave, Nissrine Akkari |
| title_full_unstemmed | Manifold learning model reduction in engineering David Ryckelynck, Fabien Casenave, Nissrine Akkari |
| title_short | Manifold learning |
| title_sort | manifold learning model reduction in engineering |
| title_sub | model reduction in engineering |
| topic | Machine Learning Statistical Learning Stochastic Modelling Engineering Thermodynamics, Heat and Mass Transfer Industrial and Production Engineering Mathematical Methods in Physics Machine learning Stochastic models Thermodynamics Heat engineering Heat transfer Mass transfer Industrial engineering Production engineering Mathematical physics |
| topic_facet | Machine Learning Statistical Learning Stochastic Modelling Engineering Thermodynamics, Heat and Mass Transfer Industrial and Production Engineering Mathematical Methods in Physics Machine learning Stochastic models Thermodynamics Heat engineering Heat transfer Mass transfer Industrial engineering Production engineering Mathematical physics |
| url | 20.500.12854/135558 https://doi.org/10.1007/978-3-031-52764-7 https://directory.doabooks.org/handle/20.500.12854/135558 |
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