期刊
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS
卷 44, 期 3, 页码 509-529出版社
EDP SCIENCES S A
DOI: 10.1051/m2an/2010011
关键词
Proper orthogonal decomposition; optimal snapshot locations; first and second order optimality conditions
资金
- Fonds zur Forderung der wissenschaftlichen Forschung, Austria
- SFB Mathematical Optimization and Applications in Biomedical Sciences
- Austrian Science Fund (FWF) [F 3202] Funding Source: researchfish
The construction of reduced order models for dynamical systems using proper orthogonal decomposition (POD) is based on the information contained in so-called snapshots. These provide the spatial distribution of the dynamical system at discrete time instances. This work is devoted to optimizing the choice of these time instances in such a manner that the error between the POD-solution and the trajectory of the dynamical system is minimized. First and second order optimality systems are given. Numerical examples illustrate that the proposed criterion is sensitive with respect to the choice of the time instances and further they demonstrate the feasibility of the method in determining optimal snapshot locations for concrete diffusion equations.
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