Manifold Learning

This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understandi...

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Hlavní autoři:	Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine
Médium:	Online
Jazyk:	angličtina
Vydáno:	Springer Nature 2024
Témata:	Computational Mechanics Data Augmentation Deep Learning Digital Twining Dimensionality Reduction GenericROM Library High-Fidelity Model Hyper-reduction Image-based Digital Twins Manifold Learning Model Order Reduction Mordicus Multiphysics Modeling thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science::TGMB Engineering thermodynamics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
On-line přístup:	ONIX_20240313_9783031527647_50
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Manifold Learning

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