Manifold Learning Model Reduction in Engineering /

• 主要な著者: Ryckelynck, David (著者), Casenave, Fabien (著者), Akkari, Nissrine (著者)
• 団体著者: SpringerLink (Online service)
• フォーマット: 電子媒体 eBook
• 言語: 英語
• 出版事項: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
• 版: 1st ed. 2024.
• シリーズ: SpringerBriefs in Computer Science,
• 主題: Machine learning.; Stochastic models.; Thermodynamics.; Heat engineering.; Heat transfer.; Mass transfer.; Industrial engineering.; Production engineering.; Mathematical physics.; Machine Learning.; Statistical Learning.; Stochastic Modelling.; Engineering Thermodynamics, Heat and Mass Transfer.; Industrial and Production Engineering.; Mathematical Methods in Physics.
• オンライン･アクセス: Link to Metadata

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...