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bokomslag Gentle Introduction to Data, Learning, and Model Order Reduction
Data & IT

Gentle Introduction to Data, Learning, and Model Order Reduction

Francisco Chinesta Elías Cueto Victor Champaney Chady Ghnatios Amine Ammar

Inbunden

1189:-

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  • 161 sidor
  • 2025
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
  • Författare: Francisco Chinesta, Elías Cueto, Victor Champaney, Chady Ghnatios, Amine Ammar
  • Format: Inbunden
  • ISBN: 9783031875717
  • Språk: Engelska
  • Antal sidor: 161
  • Utgivningsdatum: 2025-07-16
  • Förlag: Springer International Publishing AG