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Optimal snapshot location for computing POD basis functions

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2010

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Kunisch, Karl

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ESAIM: Mathematical Modelling and Numerical Analysis. 2010, 44(3), pp. 509-529. ISSN 0764-583X. Available under: doi: 10.1051/m2an/2010011

Zusammenfassung

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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Fachgebiet (DDC)
510 Mathematik

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Proper orthogonal decomposition, optimal snapshot locations, first and second order optimality conditions

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ISO 690KUNISCH, Karl, Stefan VOLKWEIN, 2010. Optimal snapshot location for computing POD basis functions. In: ESAIM: Mathematical Modelling and Numerical Analysis. 2010, 44(3), pp. 509-529. ISSN 0764-583X. Available under: doi: 10.1051/m2an/2010011
BibTex
@article{Kunisch2010Optim-15347,
  year={2010},
  doi={10.1051/m2an/2010011},
  title={Optimal snapshot location for computing POD basis functions},
  number={3},
  volume={44},
  issn={0764-583X},
  journal={ESAIM: Mathematical Modelling and Numerical Analysis},
  pages={509--529},
  author={Kunisch, Karl and Volkwein, Stefan}
}
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    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
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