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

A Gentle Introduction to Data, Learning, and Model Order Reduction

Francisco Chinesta Angelo Pasquale Elas Cueto Victor Champaney Chady Ghnatios

Inbunden

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  • 200 sidor
  • 2025
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 methodologies
  • Författare: Francisco Chinesta, Angelo Pasquale, Elas Cueto, Victor Champaney, Chady Ghnatios
  • Format: Inbunden
  • ISBN: 9783031875717
  • Språk: Engelska
  • Antal sidor: 200
  • Utgivningsdatum: 2025-09-11
  • Förlag: Springer International Publishing AG