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A Gentle Introduction to Data, Learning, and Model Order Reduction: Techniques and Twinning Methodologies - Couverture souple
Synopsis
This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques that integrate both. The book examines the limitations of traditional models, the role of data acquisition in uncovering underlying patterns, and how physics-informed and augmented learning techniques contribute to the development of digital twins. Organized into four sections―Around Data, Around Learning, Around Reduction, and Around Data Assimilation & Twinning―this book offers an essential resource for researchers, engineers, and students seeking to understand and apply cutting-edge simulation methodologies
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A Gentle Introduction to Data, Learning, and Model Order Reduction
Edité par
Springer, Berlin, Arts Et Métiers Institute Of Technology, University Of Zaragoza, Springer, 2026
ISBN 10 : 3031875745
ISBN 13 : 9783031875748
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book exploresthe latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques that integrate both. The book examines the limitations of traditional models, the role of data acquisition in uncovering underlying patterns, and how physics-informed and augmented learning techniques contribute to the development of digital twins. Organized into four sections Around Data, Around Learning, Around Reduction, and Around Data Assimilation & Twinning this book offers an essential resource for researchers, engineers, and students seeking to understand and apply cutting-edge simulation methodologies 227 pp. Englisch. N° de réf. du vendeur 9783031875748
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A Gentle Introduction to Data, Learning, and Model Order Reduction
Edité par
Springer Verlag GmbH, 2026
ISBN 10 : 3031875745
ISBN 13 : 9783031875748
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. N° de réf. du vendeur 3796689271
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A Gentle Introduction to Data, Learning, and Model Order Reduction
impression à la demandeVendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques that integrate both. The book examines the limitations of traditional models, the role of data acquisition in uncovering underlying patterns, and how physics-informed and augmented learning techniques contribute to the development of digital twins. Organized into four sectionsAround Data, Around Learning, Around Reduction, and Around Data Assimilation & Twinningthis book offers an essential resource for researchers, engineers, and students seeking to understand and apply cutting-edge simulation methodologiesSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch. N° de réf. du vendeur 9783031875748
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A Gentle Introduction to Data, Learning, and Model Order Reduction : Techniques and Twinning Methodologies
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book exploresthe latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques that integrate both. The book examines the limitations of traditional models, the role of data acquisition in uncovering underlying patterns, and how physics-informed and augmented learning techniques contribute to the development of digital twins. Organized into four sections Around Data, Around Learning, Around Reduction, and Around Data Assimilation & Twinning this book offers an essential resource for researchers, engineers, and students seeking to understand and apply cutting-edge simulation methodologies. N° de réf. du vendeur 9783031875748
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A Gentle Introduction to Data, Learning, and Model Order Reduction | Techniques and Twinning Methodologies.DE
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. A Gentle Introduction to Data, Learning, and Model Order Reduction | Techniques and Twinning [.] | Francisco Chinesta (u. a.) | Taschenbuch | xvi | Englisch | 2026 | Springer | EAN 9783031875748 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 136135445
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