• Corpus ID: 233387986

Hierarchical adaptive low-rank format with applications to discretized PDEs

@article{Massei2021HierarchicalAL,
  title={Hierarchical adaptive low-rank format with applications to discretized PDEs},
  author={Stefano Massei and Leonardo Robol and Daniel Kressner},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.11456}
}
A novel compressed matrix format is proposed that combines an adaptive hierarchical partitioning of the matrix with low-rank approximation. One typical application is the approximation of discretized functions on rectangular domains; the flexibility of the format makes it possible to deal with functions that feature singularities in small, localized regions. To deal with time evolution and relocation of singularities, the partitioning can be dynamically adjusted based on features of the… 
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