论图的路径数计算

F. Botler, R. Cano, M. Sambinelli
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引用次数: 1

摘要

Gallai(1966)推测,在n个顶点上的每一个图G的边集最多可以被≤≤n/2²条边不相交路径所覆盖。这样的边缘不相交路径覆盖称为路径分解,最小元素数路径分解的大小称为路径数。G. Peroche(1984)证明了计算路径数的问题是np完全的;Constantinou和Ellinas(2018)证明了它是一个完全二部图族的多项式。本文提出了计算图的路径数的整数线性规划模型。这使我们能够用大量的图来验证Gallai的猜想。因此,在Heinrich, Natale和Streicher关于循环分解(2017)的工作之后,我们验证了最多有11个顶点的图的Gallai猜想;对于最多有16个顶点的二部图;对于最多14个顶点的正则图。
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On Computing the Path Number of a Graph

Gallai (1966) conjectured that the edge set of every graph G on n vertices can be covered by at most ⌈n/2⌉ edge-disjoint paths. Such a covering by edge-disjoint paths is called a path decomposition, and the size of a path decomposition with a minimum number of elements is called the path number of G. Peroche (1984) proved that the problem of computing the path number is NP-Complete; and Constantinou and Ellinas (2018) proved that it is polynomial for a family of complete bipartite graphs. In this paper we present an Integer Linear Programming model for computing the path number of a graph. This allowed us to verify Gallai's Conjecture for a large collection of graphs. As a result, following a work of Heinrich, Natale and Streicher on cycle decompositions (2017), we verify Gallai's Conjecture for graphs with at most 11 vertices; for bipartite graphs with at most 16 vertices; and for regular graphs with at most 14 vertices.

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Electronic Notes in Theoretical Computer Science
Electronic Notes in Theoretical Computer Science Computer Science-Computer Science (all)
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