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Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031550595 ISBN 13: 9783031550591
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces. The book is a valuable resource for researchers, as well as masters and Ph.D students.
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Published by Springer, Springer Jun 2025, 2025
ISBN 10: 3031550625 ISBN 13: 9783031550621
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Published by Springer Nature Switzerland, Springer Nature Switzerland Jun 2024, 2024
ISBN 10: 3031550595 ISBN 13: 9783031550591
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces. The book is a valuable resource for researchers, as well as masters and Ph.D students. 272 pp. Englisch.
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Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031550595 ISBN 13: 9783031550591
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates.
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Taschenbuch. Condition: Neu. Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators | RAMSES | Gianluigi Rozza (u. a.) | Taschenbuch | Lecture Notes in Computational Science and Engineering | x | Englisch | 2025 | Springer | EAN 9783031550621 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Published by Springer, Springer International Publishing Jun 2025, 2025
ISBN 10: 3031550625 ISBN 13: 9783031550621
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces.The book is a valuable resource for researchers, as well as masters and Ph.D students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.
Language: English
Published by Springer, Springer International Publishing Jun 2024, 2024
ISBN 10: 3031550595 ISBN 13: 9783031550591
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces.The book is a valuable resource for researchers, as well as masters and Ph.D students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.
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