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MardalEtAl2024
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<span id="MardalEtAl2024">K.-A. Mardal, J. Sogn, and S. Takacs, “A robust and time-parallel preconditioner for parabolic reconstruction problems using Isogeometric Analysis,” arXiv:2407.17964v1 [math.NA], 2024 [Online]. Available at: <a href="http://arxiv.org/abs/2407.17964v1" target="_blank">http://arxiv.org/abs/2407.17964v1</a></span>
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BibTeX entry <code>MardalEtAl2024</code>
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<pre class="abstract">@unpublished{MardalEtAl2024,
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author = {Mardal, Kent-Andre and Sogn, Jarle and Takacs, Stefan},
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howpublished = {arXiv:2407.17964v1 [math.NA]},
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title = {A robust and time-parallel preconditioner for parabolic reconstruction problems using Isogeometric Analysis},
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url = {http://arxiv.org/abs/2407.17964v1},
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year = {2024}
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We consider a PDE-constrained optimization problem of tracking type with parabolic state equation. The solution to the problem is characterized by the Karush-Kuhn-Tucker (KKT) system, which we formulate using a strong variational formulation of the state equation and a super weak formulation of the adjoined state equation. This allows us to propose a preconditioner that is robust both in the regularization and the diffusion parameter. In order to discretize the problem, we use Isogeometric Analysis since it allows the construction of sufficiently smooth basis functions effortlessly. To realize the preconditioner, one has to solve a problem over the whole space time cylinder that is elliptic with respect to certain non-standard norms. Using a fast diagonalization approach in time, we reformulate the problem as a collection of elliptic problems in space only. These problems are not only smaller, but our approach also allows to solve them in a time-parallel way. We show the efficiency of the preconditioner by rigorous analysis and illustrate it with numerical experiments.
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