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Applications of Low-order Models Based on Proper Orthogonal Decomposition ’ (POD)

机译：基于正交正交分解的低阶模型的应用（pOD）

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作者
Angelo Iollo; I. Michael Navon;
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年度 2012
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1. Data-Driven Grey Reduced-Order Model for Thermal Radiative Transfer Problems Based on Low-Order Quasidiffusion Equations and Proper Orthogonal Decomposition [J] . Joseph Coale, Dmitriy Anistratov Transactions of the American nuclear society . 2019,第Nova期

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2. On proper orthogonal decomposition (POD) based reduced-order modeling of groundwater flow through heterogeneous porous media with point source singularity [J] . Dey Saumava, Dhar Anirban Advances in Water Resources . 2020,第Octa期

机译：基于适当的正交分解（POD）通过具有点源奇异性的异质多孔介质的地下水流量的下降阶模型
3. I Development and Application of Reduced-Order I Neural Network Model Based on Proper Orthogonal Decomposition for BOD5 Monitoring in River Systems: Uncertainty Analysis [J] . Roohollah Noori, Khosro Ashrafi, Abdolreza Karbassi, Environmental progress & sustainable energy . 2013,第2期

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4. Geometrical Reduced Order Modeling (ROM) by Proper Orthogonal Decomposition (POD) for the incompressible Navier-Stokes equations [C] . Nissrine Akkari, Renaud Merrier, Vincent Moureau AIAA aerospace sciences meeting;AIAA SciTech forum . 2018

机译：不可压缩的Navier-Stokes方程的正确正交分解（POD）几何降阶建模（ROM）
5. Reduced Order Models for Thermal Radiative Transfer Problems Based on Low-Order Transport Equations and the Proper Orthogonal Decomposition [D] . Coale, Joseph Michael. 2019

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6. Bridging Proper Orthogonal Decomposition methods and augmented Newton-Krylov algorithms: an adaptive model order reduction for highly nonlinear mechanical problems [O] . P. Kerfriden, P. Gosselet, S. Adhikari, -1

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7. Performance estimates for economic model predictive control and their application in proper orthogonal decomposition-based implementations [O] . Lars Grüne, Luca Mechelli, Simon Pirkelmann, 2021

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Applications of Low-order Models Based on Proper Orthogonal Decomposition ’ (POD)

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