swMATH ID: 40605
Software Authors: Christian Himpe, Stephan Rave
Description: hapod - Hierarchical Approximate Proper Orthogonal Decomposition. The HAPOD is an algorithm to compute the POD (left singular vectors, and singular values of a matrix) hierarchically for (column-wise partitioned) large-scale matrices, allowing to balance accuracy with performance. As a POD-of-PODs method, the HAPOD can be parallelized and further accelerated by user supplied SVD implementations.
Homepage: https://git.io/hapod
Source Code:  https://github.com/gramian/hapod
Dependencies: Matlab
Related Software: redbKIT; libROM; pyMOR; emgr; StaRMAP; GitHub; LAPACK; Matlab; Octave; Intel TBB; dune-xt; Eigen; DUNE; benchmodred; NGSolve; GaussQR; SINDy; Nek5000; CSparse; Triangle
Cited in: 14 Publications

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