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Theoretical Computer Science
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Theoretical Computer Science
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Theoretical Computer Science
Article . 1988
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Theoretical Computer Science
Article . 1987
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Theoretical Computer Science
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Theoretical Computer Science
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On “on graph rewritings”

On ``On graph rewritings''
Authors: Kennaway, J. Richard;

On “on graph rewritings”

Abstract

\textit{J. C. Raoult} [ibid. 32, 1-24 (1984; Zbl 0551.68065)] has given a description of graph rewriting. His description is operational, despite the similarity which his constructions have to the category-theoretic concept of a pushout. We describe a modification to Raoult's description of graph rewriting which allows the reduction of a redex to be described as a pushout, in a category of graphs where morphisms are not required to preserve graph structure. Our description can also handle term rewrite rules whose right-hand sides consist of a variable. Raoult specifically excludes such rules from his treatment. Rules of this form include the K combinator, the identity function, selector functions fors model sheds light on why some instances of NP-complete problems are solvable in practice with a low average complexity.

Country
United Kingdom
Related Organizations
Keywords

rewrite as pushout in a category of graphs, graph rewriting, Categories of machines, automata, NP-complete problems, 004, Abstract data types; algebraic specification, Theoretical Computer Science, Computer Science(all)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Average
Top 10%
Average
hybrid