Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
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Publication:6354314
arXiv2011.11223MaRDI QIDQ6354314
Author name not available (Why is that?)
Publication date: 23 November 2020
Abstract: Eigenvectors of matrices on a network have been used for understanding spectral clustering and influence of a vertex. For matrices with small geodesic-width, we propose a distributed iterative algorithm in this letter to find eigenvectors associated with their given eigenvalues. We also consider the implementation of the proposed algorithm at the vertex/agent level in a spatially distributed network.
Has companion code repository: https://github.com/nazaremirov/PGDA
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