A Gentle Introduction to Data, Learning, and Model Order Reduction von Francisco Chinesta | Techniques and Twinning Methodologies | ISBN 9783031875724

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

Techniques and Twinning Methodologies

von Francisco Chinesta und weiteren
Mitwirkende
Autor / AutorinFrancisco Chinesta
Autor / AutorinElías Cueto
Autor / AutorinVictor Champaney
Autor / AutorinChady Ghnatios
Autor / AutorinAmine Ammar
Autor / AutorinNicolas Hascoët
Autor / AutorinDavid González
Autor / AutorinIcíar Alfaro
Autor / AutorinDaniele Di Lorenzo
Autor / AutorinAngelo Pasquale
Autor / AutorinDominique Baillargeat
Buchcover A Gentle Introduction to Data, Learning, and Model Order Reduction | Francisco Chinesta | EAN 9783031875724 | ISBN 3-031-87572-9 | ISBN 978-3-031-87572-4

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

Techniques and Twinning Methodologies

von Francisco Chinesta und weiteren
Mitwirkende
Autor / AutorinFrancisco Chinesta
Autor / AutorinElías Cueto
Autor / AutorinVictor Champaney
Autor / AutorinChady Ghnatios
Autor / AutorinAmine Ammar
Autor / AutorinNicolas Hascoët
Autor / AutorinDavid González
Autor / AutorinIcíar Alfaro
Autor / AutorinDaniele Di Lorenzo
Autor / AutorinAngelo Pasquale
Autor / AutorinDominique Baillargeat

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