4674
2012
eng
A161
A184
1
34
article
0
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State Trajectory Compression for Optimal Control with Parabolic PDEs
In optimal control problems with nonlinear time-dependent 3D PDEs, full 4D discretizations are usually prohibitive due to the storage requirement. For this reason gradient and quasi-Newton methods working on the reduced functional are often employed. The computation of the reduced gradient requires one solve of the state equation forward in time, and one backward solve of the adjoint equation. The state enters into the adjoint equation, again requiring the storage of a full 4D data set. We propose a lossy compression algorithm using an inexact but cheap predictor for the state data, with additional entropy coding of prediction errors. As the data is used inside a discretized, iterative algorithm, lossy coding maintaining an error bound is sufficient.
SIAM J. Sci. Comput.
10.1137/11082172X
yes
urn:nbn:de:0297-zib-11676
Martin Weiser
Martin Weiser
Sebastian Götschel
Numerical Mathematics
Computational Medicine
Götschel, Sebastian
Weiser, Martin
MATHEON-F9
ZIB-Kaskade7