Matheon-F9

Trajectory Compression

Description

For large, nonlinear, and time dependent PDE constrained optimization problems with 3D spatial domain, reduced methods are a viable algorithmic approach. The computation of reduced gradients by adjoint methods requires the storage of 4D data, which can be quite expensive from both a capacity and bandwith point of view.

This project investigates lossy compression schemes for storing the state trajectory, based on hierarchical interpolation in adaptively refined meshes as a general predictor.

Further information is available in the detailed project description.

Contact

Martin Weiser
Phone: +49 (0) 30 84185-170
Fax: +49 (0) 30 84185-107

Members

Martin Weiser
Sebastian Götschel
Konrad Polthier (FU Berlin)
Christoph von Tycowicz (FU Berlin)

Funding

DFG Research Center Matheon "Mathematics for key technologies", Project F9