Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Manifold Learning: Model Reduction in Engineering

Manifold Learning: Model Reduction in Engineering

Casenave, Fabien
Akkari, Nissrine
Ryckelynck, David

Paperback

Series: Springerbriefs in Computer Science

ApplicationsGeneral ComputersProbability & Statistics

ISBN10: 3031527666
ISBN13: 9783031527661
Publisher: Springer
Published: Feb 21 2024
Pages: 107
Weight: 0.39
Height: 0.25 Width: 6.14 Depth: 9.21
Language: English
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 understanding and implement reduced order models by using: physics-based models, synthetic data forecast by these models, experimental data and deep learning algorithms. The book involves a survey of key methods of model order reduction applied to model-based engineering and digital twining, by learning linear or nonlinear latent spaces.

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