POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation

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Date
2015-08-15
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Academic Press – Elsevier
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Technology, Computer Science, Interdisciplinary Applications, Physics, Mathematical, Computer Science, Physics, Inverse problems, Proper orthogonal decomposition, Discrete empirical interpolation method (DEIM), Reduced-order models (ROMs), Shallow water equations, Finite difference methods, PROPER-ORTHOGONAL-DECOMPOSITION, SHALLOW-WATER EQUATIONS, PARTIAL-DIFFERENTIAL-EQUATIONS, NONLINEAR MODEL-REDUCTION, POSTERIORI ERROR ESTIMATION, CYLINDER WAKE, EMPIRICAL INTERPOLATION, SENSITIVITY-ANALYSIS, BURGERS-EQUATION, FEEDBACK-CONTROL
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http://hdl.handle.net/10919/75269
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Scholarly Works, Computational Science Laboratory
Scholarly Works, Computer Science