04008nam 22006975 450 991101596630332120250723130301.03-031-87572-910.1007/978-3-031-87572-4(CKB)39713468000041(DE-He213)978-3-031-87572-4(MiAaPQ)EBC32260854(Au-PeEL)EBL32260854(OCoLC)1535964046(EXLCZ)993971346800004120250723d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierA Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies /by Francisco Chinesta, Elías Cueto, Victor Champaney, Chady Ghnatios, Amine Ammar, Nicolas Hascoët, David González, Icíar Alfaro, Daniele Di Lorenzo, Angelo Pasquale, Dominique Baillargeat1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (XVI, 227 p. 33 illus., 29 illus. in color.) Studies in Big Data,2197-6511 ;1743-031-87571-0 Abstract -- Extended summary -- Part 1.Around Data -- Part 2.Around Learning -- Part 3. Around Reduction -- Part 4. Around Data Assimilation & Twinning.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.Studies in Big Data,2197-6511 ;174Computational intelligenceMathematicsData processingMachine learningComputational IntelligenceComputational Science and EngineeringMachine LearningComputational intelligence.MathematicsData processing.Machine learning.Computational Intelligence.Computational Science and Engineering.Machine Learning.006.3Chinesta Franciscoauthttp://id.loc.gov/vocabulary/relators/aut720584Cueto Elíasauthttp://id.loc.gov/vocabulary/relators/autChampaney Victorauthttp://id.loc.gov/vocabulary/relators/autGhnatios Chadyauthttp://id.loc.gov/vocabulary/relators/autAmmar Amineauthttp://id.loc.gov/vocabulary/relators/autHascoët Nicolasauthttp://id.loc.gov/vocabulary/relators/autGonzález Davidauthttp://id.loc.gov/vocabulary/relators/autAlfaro Icíarauthttp://id.loc.gov/vocabulary/relators/autDi Lorenzo Danieleauthttp://id.loc.gov/vocabulary/relators/autPasquale Angeloauthttp://id.loc.gov/vocabulary/relators/autBaillargeat Dominiqueauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9911015966303321A Gentle Introduction to Data, Learning, and Model Order Reduction4412230UNINA