Reduced Modelling of Planar Fuel Cells: Spatial Smoothing and Asymptotic Reduction, He Zhongjie, Li Hua, Birgersson Karl Erik
Автор: Bernd R. Noack; Marek Morzynski; Gilead Tadmor Название: Reduced-Order Modelling for Flow Control ISBN: 3709111145 ISBN-13(EAN): 9783709111147 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the physical and mathematical foundations of model-based turbulence control: reduced-order modelling and control design in simulations and experiments. Leading experts guide readers through the methods and cover the latest methods.
Автор: Alfio Quarteroni; Gianluigi Rozza Название: Reduced Order Methods for Modeling and Computational Reduction ISBN: 3319020897 ISBN-13(EAN): 9783319020891 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details advances and developments in reduced order methods for modeling and computational reduction of complex parametrized systems held by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques.
Автор: Alfio Quarteroni; Gianluigi Rozza Название: Reduced Order Methods for Modeling and Computational Reduction ISBN: 3319377353 ISBN-13(EAN): 9783319377353 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details advances and developments in reduced order methods for modeling and computational reduction of complex parametrized systems held by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques.
Автор: Zhongjie He; Hua Li; Karl Erik Birgersson Название: Reduced Modelling of Planar Fuel Cells ISBN: 3319426451 ISBN-13(EAN): 9783319426457 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1.- Introduction. 2.- Full 3D Modeling of Planar Fuel Cells. 3.- Development of Reduced PEMFC Models. 4.- development of Reduced P-SOFC Models. 5.- Integrated Stochastic and Deterministic Sensitivity Analysis of Cell and Stack Performances. 6.- Conclusions.
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