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

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

Techniques and Twinning Methodologies

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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 c...