A simple algorithm that finds a simultaneous block diagonalization of multiple matrices through the eigendecomposition of a single matrix.
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Updated
Aug 26, 2021 - Python
A simple algorithm that finds a simultaneous block diagonalization of multiple matrices through the eigendecomposition of a single matrix.
Finding the finest simultaneous block diagonalization of multiple matrices by sequentially exploring invariant subspaces under matrix multiplications. Applications include the efficient analysis of arbitrary synchronization patterns in complex networks.
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