将完整图分解为最少边相交树的算法

Antika Sinha, Sanjoy Kumar Saha, Partha Basuchowdhuri
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引用次数: 0

摘要

在这项工作中,我们研究了将一个无向、无权重的完整图(阶数 $n$,大小 $m$的 $K_n$)分解为最少边相交树的方法。我们发现正整数 $x$ 是最小值,并且 $x=\lceil\frac{n}{2}\rceil$ 作为 $K_n$ 的边集被分解为大小为 $M = \{m_1,m_2,...,m_x\} 的边相交树。...,m_x\}$,其中$m_i\le(n-1)$ 和$\Sigma_{i=1}^{x} m_i$ = $\frac{n(n-1)}{2}$。为了把 $K_n$ 的边集分解成最少的边相交树,我们提出的算法总共需要 $O(m)$ 时间。
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An Algorithm for the Decomposition of Complete Graph into Minimum Number of Edge-disjoint Trees
In this work, we study methodical decomposition of an undirected, unweighted complete graph ($K_n$ of order $n$, size $m$) into minimum number of edge-disjoint trees. We find that $x$, a positive integer, is minimum and $x=\lceil\frac{n}{2}\rceil$ as the edge set of $K_n$ is decomposed into edge-disjoint trees of size sequence $M = \{m_1,m_2,...,m_x\}$ where $m_i\le(n-1)$ and $\Sigma_{i=1}^{x} m_i$ = $\frac{n(n-1)}{2}$. For decomposing the edge set of $K_n$ into minimum number of edge-disjoint trees, our proposed algorithm takes total $O(m)$ time.
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