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Juergen Schmidhuber Research Group
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adaptive spatial partitioning

Adaptive Local Proper Orthogonal Decomposition via Graph Partitioning and Provable Error-Bounded Lossy Compression

Roberto Nuca, Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Nov 17, 15:00 - 16:00

B1 R3426

method of snapshots lossy compression proper orthogonal decomposition singular value decomposition adaptive spatial partitioning model order reduction Low-rank approximation

This talk introduces a spatially adaptive POD-based compression method combining hierarchical domain partitioning and local low-rank approximations for error-controlled, storage-efficient compression of spatially heterogeneous simulation data.

Juergen Schmidhuber Research Group (J-Schmidhuber)

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