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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.
@article{M2AN_2010__44_3_509_0, author = {Kunisch, Karl and Volkwein, Stefan}, title = {Optimal snapshot location for computing {POD} basis functions}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis }, pages = {509--529}, publisher = {EDP-Sciences}, volume = {44}, number = {3}, year = {2010}, doi = {10.1051/m2an/2010011}, mrnumber = {2666653}, zbl = {1193.65113}, language = {en}, url = {http://geodesic.mathdoc.fr/articles/10.1051/m2an/2010011/} }
TY - JOUR AU - Kunisch, Karl AU - Volkwein, Stefan TI - Optimal snapshot location for computing POD basis functions JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2010 SP - 509 EP - 529 VL - 44 IS - 3 PB - EDP-Sciences UR - http://geodesic.mathdoc.fr/articles/10.1051/m2an/2010011/ DO - 10.1051/m2an/2010011 LA - en ID - M2AN_2010__44_3_509_0 ER -
%0 Journal Article %A Kunisch, Karl %A Volkwein, Stefan %T Optimal snapshot location for computing POD basis functions %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2010 %P 509-529 %V 44 %N 3 %I EDP-Sciences %U http://geodesic.mathdoc.fr/articles/10.1051/m2an/2010011/ %R 10.1051/m2an/2010011 %G en %F M2AN_2010__44_3_509_0
Kunisch, Karl; Volkwein, Stefan. Optimal snapshot location for computing POD basis functions. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 44 (2010) no. 3, pp. 509-529. doi: 10.1051/m2an/2010011
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