Type of Publication: | Contribution to a collection |
Publication status: | Published |
Author: | Gubisch, Martin; Volkwein, Stefan |
Year of publication: | 2017 |
Published in: | Model reduction and approximation : theory and algorithms / Benner, Peter et al. (ed.). - Philadelphia : SIAM, 2017. - (Computational science and engineering ; 15). - pp. 3-63. - ISBN 978-1-61197-481-2 |
DOI (citable link): | https://dx.doi.org/10.1137/1.9781611974829.ch1 |
Summary: |
Optimal control problems for partial differential equations (PDEs) are often hard to tackle numerically because their discretization leads to very large scale optimization problems. Therefore, different techniques of model reduction were developed to approximate these problems by smaller ones that are tractable with less effort.
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Subject (DDC): | 510 Mathematics |
Bibliography of Konstanz: | Yes |
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GUBISCH, Martin, Stefan VOLKWEIN, 2017. Proper Orthogonal Decomposition for Linear-Quadratic Optimal Control. In: BENNER, Peter, ed. and others. Model reduction and approximation : theory and algorithms. Philadelphia:SIAM, pp. 3-63. ISBN 978-1-61197-481-2. Available under: doi: 10.1137/1.9781611974829.ch1
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