A Gentle Introduction to Data, Learning, and Model Order Reduction
Techniques and Twinning Methodologies
Series: Studies in Big Data; 174;
- Publisher's listprice EUR 53.49
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22 184 Ft (21 128 Ft + 5% VAT)
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22 184 Ft
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 23 July 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031875717
- Binding Hardback
- No. of pages227 pages
- Size 235x155 mm
- Language English
- Illustrations XVI, 227 p. 33 illus., 29 illus. in color. Illustrations, black & white 672
Categories
Long 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
" MoreTable of Contents:
Abstract.- Extended summary.- Part 1.Around Data.- Part 2.Around Learning.- Part 3. Around Reduction.- Part 4. Around Data Assimilation & Twinning.
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