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Cybernetics and Systems Analysis
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Operations and compositions in transrecursive operators

Authors: Mark Burgin; Yu. M. Borodyanskii;

Operations and compositions in transrecursive operators

Abstract

Earlier, the authors introduced classes of alphabetic operators that have greater computational possibilities than classical algorithms. In Dokl. Akad. Nauk SSSR 321, No. 5, 876-879 (1991), they gave a uniform procedure for obtaining such alphabetic operators, which will be called transrecursive operators in what follows. It was proved that transrecursive operators give the most general algorithmic scheme for mappings of sets of words. In this article we give a precise definition of such a procedure and consider operations on transrecursive operators that are similar to operations obtained in the theory of algorithms [\textit{V. M. Glushkov}, Kibernetika 1965, No. 5, 1-9 (1965; Zbl 0156.018)]: sequential composition, \(\alpha\)-composition, and \(\alpha\)-iteration. In the class of transrecursive operators the given operations differ essentially in a number of aspects. For example, they can have various types and forms.

Keywords

algorithm theory, transrecursive operators, Formal languages and automata, Models of computation (Turing machines, etc.), Automata and formal grammars in connection with logical questions, iteration, Recursive functions and relations, subrecursive hierarchies, composition, Turing machines and related notions, alphabetic operators

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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!
0
Average
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