On the complexity of cycle enumeration using Zeons
Identifieur interne : 003235 ( Main/Exploration ); précédent : 003234; suivant : 003236On the complexity of cycle enumeration using Zeons
Auteurs : René Schott [France] ; Stacey Staples [États-Unis]Source :
English descriptors
- mix :
Abstract
Nilpotent adjacency matrix methods are employed to enumerate $k$-cycles in simple graphs on $n$ vertices for any $k\le n$. The worst-case time complexity of counting $k$-cycles in an $n$-vertex simple graph is shown to be $\mathcal{O}(n^{\alpha+1} 2^{n})$, where $\alpha\le 3$ is the exponent representing the complexity of matrix multiplication. When $k$ is fixed, the enumeration of all $k$-cycles in an $n$-vertex graph is of time complexity $\mathcal{O}(n^{\alpha+k-1})$. Letting $\Omega=\binom{n}{2}$, the average-case time complexity of counting $k$-cycles in an $n$-vertex, $e$-edge graph where $e\le \displaystyle q\left(\frac{\Omega}{k}-1\right)$ for fixed $0
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Affiliations:
- France, États-Unis
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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</front><div type="abstract" xml:lang="en">Nilpotent adjacency matrix methods are employed to enumerate $k$-cycles in simple graphs on $n$ vertices for any $k\le n$. The worst-case time complexity of counting $k$-cycles in an $n$-vertex simple graph is shown to be $\mathcal{O}(n^{\alpha+1} 2^{n})$, where $\alpha\le 3$ is the exponent representing the complexity of matrix multiplication. When $k$ is fixed, the enumeration of all $k$-cycles in an $n$-vertex graph is of time complexity $\mathcal{O}(n^{\alpha+k-1})$. Letting $\Omega=\binom{n}{2}$, the average-case time complexity of counting $k$-cycles in an $n$-vertex, $e$-edge graph where $e\le \displaystyle q\left(\frac{\Omega}{k}-1\right)$ for fixed $0
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