边界NLC图语法-基本定义,标准形式,和复杂性

Q4 Mathematics
Grzegorz Rozenberg, Emo Welzl
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引用次数: 160

摘要

节点标签控制(Node label controlled, NLC)语法是一种仅重写单个节点,并仅根据所涉及节点的标签在嵌入图与重写节点的邻居之间建立联系的图语法(操作于节点标记的无向图)。它们定义了(可能是无限的)无向节点标记图的语言(或者,如果我们省略标签,则定义了无标记图的语言)。在这里,我们考虑NLC语法的一个限制,即所谓的边界NLC (BNLC)语法,其区别在于,无论何时在一个图中已经生成的两个节点可以被重写,那么这些节点都不是相邻的。由这种语法生成的图形语言称为BNLC语言。尽管我们表明这种限制导致了更小的语言类别,但仍然有足够的生成能力来定义有趣的图形语言。例如,树、完全二部图、最大外平面图、k树、带宽≥k的图、循环带宽≥k的图、二叉树带宽≥k的图、切宽≥k的图(对于一个固定的正整数k)都是BNLC语言。我们证明了BNLC语法的一些标准形式,然后通过各种应用说明了它们的实用性。特别地,我们证明了对于有界度的连通图,BNLC语言的隶属性问题在确定性多项式时间内可解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Boundary NLC graph grammars—Basic definitions, normal forms, and complexity

Node label controlled (NLC) grammars are graph grammars (operating on node labeled undirected graphs) which rewrite single nodes only and establish connections between the embedded graph and the neighbors of the rewritten node on the basis of the labels of the involved nodes only. They define (possibly infinite) languages of undirected node labeled graphs (or, if we just omit the labels, languages of unlabeled graphs). Here we consider a restriction of NLC grammars, so-called boundary NLC (BNLC) grammars, distinguished by the property that whenever in a graph already generated two nodes may be rewritten, then these nodes are not adjacent. The graph languages generated by this type of grammars are called BNLC languages. Although we show that this restriction leads to a smaller class of languages, still enough generative power remains to define interesting graph languages. For example, trees, complete bipartite graphs, maximal outerplanar graphs, k-trees, graphs of bandwidth ⩽k, graphs of cyclic bandwidth ⩽k, graphs of binary tree bandwidth ⩽k, graphs of cutwidth ⩽k (always for a fixed positive integer k) turn out all to be BNLC languages. We prove a number of normal forms for BNLC grammars and then we indicate their usefulness by various applications. In particular, we show that for connected graphs of bounded degree the membership problem for BNLC languages is solvable in deterministic polynomial time.

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来源期刊
信息与控制
信息与控制 Mathematics-Control and Optimization
CiteScore
1.50
自引率
0.00%
发文量
4623
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