A Gentle Introduction To Data Learning And Model Order Reduction (Francisco Chinesta, Elías Cueto, Victor Champaney, Chady Ghnatios, Amine Ammar, N...

[FaridKhan]

English | July 23, 2025 | ISBN: 3031875710 | 243 pages | True PDF, EPUB | 18 Mb

Catergory: Computers & Technology

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

Contents of Download:
3031875710.epub (Francisco Chinesta, Elías Cueto, Victor Champaney, Chady Ghnatios, Amine Ammar, Nicolas Hascoët, David González, Icíar Alfaro, Daniele Di Lorenzo, Angelo Pasquale, Dominique Baillargeat) (2025) (12.27 MB)
3031875710.pdf (Francisco Chinesta · Elías Cueto · Victor Champaney · Chady Ghnatios · Amine Ammar · Nicolas Hascoët · David González · Icíar Alfaro · Daniele Di Lorenzo · Angelo Pasquale · Dominique Baillargeat) (2014) (10.05 MB)

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️ A Gentle Introduction To Data Learning And Model Order Reduction (22.32 MB)

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