9783032203069 - scientific machine learning with engineering applications: 667 (studies in systems, decision and control, 667) de rabczuk, timon; anitescu, cosmin; goswami, somdatta; zhuang, xiaoying; wang, yizheng (8 resultados)
Scientific Machine Learning with Engineering Applications
Rabczuk, Timon; Anitescu, Cosmin; Goswami, Somdatta; Zhuang, Xiaoying; Wang, Yizheng
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Scientific Machine Learning with Engineering Applications
Rabczuk, Timon; Anitescu, Cosmin; Goswami, Somdatta; Zhuang, Xiaoying; Wang, Yizheng
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established principles from mechanics, numerical analysis, and… scientific computing with emerging physics-based learning approaches, enabling reliable modeling, simulation, optimization, and inverse analysis beyond purely data-driven methods. A distinctive feature is its critical comparison of machine learning-based solvers with classical techniques such as the finite element method, isogeometric analysis, and meshfree methods, highlighting strengths, limitations, and domains of applicability. The scope ranges from foundational concepts to advanced engineering applications, supported by worked examples, reproducible code, and extensive references. The book is intended for graduate students, researchers, and practitioners in engineering, applied mathematics, and computational sciences who seek a principled entry point and a state-of-the-art reference for physics-based machine learning in modeling and simulation.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 128,39
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established principles from mechanics, numeric…al analysis, and scientific computing with emerging physics-based learning approaches, enabling reliable modeling, simulation, optimization, and inverse analysis beyond purely data-driven methods. A distinctive feature is its critical comparison of machine learning-based solvers with classical techniques such as the finite element method, isogeometric analysis, and meshfree methods, highlighting strengths, limitations, and domains of applicability. The scope ranges from foundational concepts to advanced engineering applications, supported by worked examples, reproducible code, and extensive references. The book is intended for graduate students, researchers, and practitioners in engineering, applied mathematics, and computational sciences who seek a principled entry point and a state-of-the-art reference for physics-based machine learning in modeling and simulation. 232 pp. Englisch.
Scientific Machine Learning with Engineering Applications
Rabczuk, Timon; Anitescu, Cosmin; Goswami, Somdatta; Zhuang, Xiaoying; Wang, Yizheng
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 113,90
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Buch. Condición: Neu. Scientific Machine Learning with Engineering Applications | Timon Rabczuk (u. a.) | Buch | Studies in Systems, Decision and Control | xi | Englisch | 2026 | Springer | EAN 9783032203069 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]sp…ringer[dot]com | Anbieter: preigu Print on Demand.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 128,39
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established principles from mechanics, numerical a…nalysis, and scientific computing with emerging physics-based learning approaches, enabling reliable modeling, simulation, optimization, and inverse analysis beyond purely data-driven methods. A distinctive feature is its critical comparison of machine learning-based solvers with classical techniques such as the finite element method, isogeometric analysis, and meshfree methods, highlighting strengths, limitations, and domains of applicability. The scope ranges from foundational concepts to advanced engineering applications, supported by worked examples, reproducible code, and extensive references. The book is intended for graduate students, researchers, and practitioners in engineering, applied mathematics, and computational sciences who seek a principled entry point and a state-of-the-art reference for physics-based machine learning in modeling and simulation.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 244 pp. Englisch.
Scientific Machine Learning with Engineering Applications
Rabczuk, Timon; Anitescu, Cosmin; Goswami, Somdatta; Zhuang, Xiaoying; Wang, Yizheng
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 193,48
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Condición: New. PRINT ON DEMAND.
