Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2023
Cham Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Synthesis Lectures on Mathematics & Statistics
|
| Schlagworte: | |
| Online-Zugang: | DE-1043 DE-Aug4 DE-573 DE-92 DE-859 DE-703 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (XVI, 199 p. 37 illus., 36 illus. in color) |
| ISBN: | 9783031222498 |
| ISSN: | 1938-1751 |
| DOI: | 10.1007/978-3-031-22249-8 |
Internformat
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Datensatz im Suchindex
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| author | Chen, Nan |
| author_facet | Chen, Nan |
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| author_sort | Chen, Nan |
| author_variant | n c nc |
| building | Verbundindex |
| bvnumber | BV048886191 |
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| collection | ZDB-2-SXSC |
| ctrlnum | (ZDB-2-SXSC)9783031222498 (OCoLC)1376406941 (DE-599)BVBBV048886191 |
| dewey-full | 003.76 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003.76 |
| dewey-search | 003.76 |
| dewey-sort | 13.76 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-3-031-22249-8 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
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| id | DE-604.BV048886191 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:47:15Z |
| indexdate | 2025-01-10T17:13:40Z |
| institution | BVB |
| isbn | 9783031222498 |
| issn | 1938-1751 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034150835 |
| oclc_num | 1376406941 |
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| owner | DE-1043 DE-Aug4 DE-92 DE-573 DE-859 DE-703 |
| owner_facet | DE-1043 DE-Aug4 DE-92 DE-573 DE-859 DE-703 |
| physical | 1 Online-Ressource (XVI, 199 p. 37 illus., 36 illus. in color) |
| psigel | ZDB-2-SXSC ZDB-2-SXSC_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| series2 | Synthesis Lectures on Mathematics & Statistics |
| spelling | Chen, Nan Verfasser aut Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models by Nan Chen 1st ed. 2023 Cham Springer International Publishing 2023 Cham Springer 1 Online-Ressource (XVI, 199 p. 37 illus., 36 illus. in color) txt rdacontent c rdamedia cr rdacarrier Synthesis Lectures on Mathematics & Statistics 1938-1751 Stochastic Systems and Control Stochastic Modelling Complex Systems Applications of Mathematics Data Science Models of Computation Stochastic processes Stochastic models System theory Mathematics Artificial intelligence—Data processing Computer science Erscheint auch als Druck-Ausgabe 978-3-031-22248-1 Erscheint auch als Druck-Ausgabe 978-3-031-22250-4 Erscheint auch als Druck-Ausgabe 978-3-031-22251-1 https://doi.org/10.1007/978-3-031-22249-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Chen, Nan Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models Stochastic Systems and Control Stochastic Modelling Complex Systems Applications of Mathematics Data Science Models of Computation Stochastic processes Stochastic models System theory Mathematics Artificial intelligence—Data processing Computer science |
| title | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models |
| title_auth | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models |
| title_exact_search | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models |
| title_exact_search_txtP | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models |
| title_full | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models by Nan Chen |
| title_fullStr | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models by Nan Chen |
| title_full_unstemmed | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems Uncertainty Quantification, State Estimation, and Reduced-Order Models by Nan Chen |
| title_short | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems |
| title_sort | stochastic methods for modeling and predicting complex dynamical systems uncertainty quantification state estimation and reduced order models |
| title_sub | Uncertainty Quantification, State Estimation, and Reduced-Order Models |
| topic | Stochastic Systems and Control Stochastic Modelling Complex Systems Applications of Mathematics Data Science Models of Computation Stochastic processes Stochastic models System theory Mathematics Artificial intelligence—Data processing Computer science |
| topic_facet | Stochastic Systems and Control Stochastic Modelling Complex Systems Applications of Mathematics Data Science Models of Computation Stochastic processes Stochastic models System theory Mathematics Artificial intelligence—Data processing Computer science |
| url | https://doi.org/10.1007/978-3-031-22249-8 |
| work_keys_str_mv | AT chennan stochasticmethodsformodelingandpredictingcomplexdynamicalsystemsuncertaintyquantificationstateestimationandreducedordermodels |