{ "item_title" : "A Gentle Introduction to Data, Learning, and Model Order Reduction", "item_author" : [" Francisco Chinesta", "Elías Cueto", "Victor Champaney "], "item_description" : "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 ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/187/574/3031875745_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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