9783031550621 - Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators: Ramses (lecture Notes in Computational Science and Engineering, 151) (9 results)
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Taschenbuch. 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, Surr…ogates, 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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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 272 pp. Englisch.
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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, Ti…ergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Language: English
Published by Springer, Springer International Publishing Jun 2025, 2025
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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 le…arning, 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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