Showing papers by "Steve Kirkland published in 2015"
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TL;DR: In this article, the spectral decomposition of the adjacency matrix of a weighted graph G was used to obtain closed form expressions for d k p d t k at t 0 for any k ∈ N.
14 citations
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TL;DR: A new universal algorithm is proposed, whose prototype is the State Reduction Algorithm which computes the Markov chain tree vector of a stochastic matrix.
3 citations
01 Apr 2015
TL;DR: In this article, it was shown that every equitable partition is an α-Kuramoto partition, but that the converse does not hold for α-kuramoto bipartitions.
Abstract: The Kuramoto model describes the collective dynamics of a system of coupled
oscillators. An α-Kuramoto partition is a graph partition induced by the
Kuramoto model, when the oscillators include a phase frustration parameter.
We prove that every equitable partition is an α-Kuramoto partition, but
that the converse does necessarily not hold. We give an exact
characterization of α-Kuramoto bipartitions.
1 citations