Results 191 to 200 of about 29,070 (246)
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First Order Graph Grammars

SIAM Journal on Computing, 1974
In this paper we consider first order context-free, linear, and regular graph grammars and obtain many results similar to those for the corresponding string grammars. We obtain normal forms for context-free and regular graph grammars, simplification lemmas, and algorithms for membership, emptiness, finiteness and infiniteness.
exaly   +2 more sources

Grammars on partial graphs

Acta Informatica, 1976
The concept of Chomsky-grammars is generalized to graph-grammars; the "gluing" of graphs is defined by a pushout-construction. In the present paper, we allow the left-hand and right-hand side of a production to be partial graphs, i.e. graphs in which there may be edges without a source or target node.
Hans Jürgen Schneider, Hartmut Ehrig
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Interactive Graph Grammar

Grammars, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Apex graph grammars and attribute grammars

Acta Informatica, 1988
In diesem Artikel werden die ADG Graph-Grammatiken (attribute dependency graph grammars) definiert und mit anderen Klassen von Graph-Grammatiken verglichen. Die Untersuchung ist anhand der DNLC (directed node-label controlled) Graph-Grammatiken durchgeführt, die auf dem Rewriting- Mechanismus von kontextfreien Sprachen basieren.
Joost Engelfriet   +2 more
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Graph Grammar Formalism with Multigranularity for Spatial Graphs

Journal of Logic, Language and Information, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yufeng Liu, Fan Yang, Jian Liu
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PROBABILISTIC GRAPH GRAMMARS

Fundamenta Informaticae, 1993
In a probabilistic graph grammar, each production has a probability attached to it. This induces a probability assigned to each derivation tree, and to each derived graph. Conditions for this probability function to be a probabilistic measure are discussed. The statistical properties of the generated language are investigated.
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On labelled graph grammars

Computing, 1978
According to the classification of labelled graph grammars by Nagl [4], it can be shown that the class of context-sensitive graph languages is equivalent to the class of context-free graph languages and the context-free graph languages properly include the regular graph languages.
Leon S. Levy, Kang Yueh
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On structured graph grammars. II

Information Sciences, 1990
One starts by identifying the steps generally followed when applying a rule r to a graph M in a graph grammar; then one formalizes these steps, obtaining a model called structured graph grammar. Various examples, illustrating this approach, are discussed (binary trees, pretty patterns, syntax diagrams) and many previous approaches to graph grammars are
Hans-Jörg Kreowski, Grzegorz Rozenberg
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Structure graphs and structure graph grammars

Information Sciences, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andries Barnard   +2 more
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