Kansikuva

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...

Täydet tiedot

Tallennettuna:
Päätekijät: Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: Springer Nature 2024
Aiheet:
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
Linkit:ONIX_20240313_9783031527647_50
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ONIX_20240313_9783031527647_50

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