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Markov algorithm

In theoretical computer science, a Markov algorithm is a string rewriting system that uses grammar-like rules to operate on strings of symbols. Markov algorithms have been shown to be Turing-complete, which means that they are suitable as a general model of computation and can represent any mathematical expression from its simple notation. Markov…

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Description

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Markov algorithm

Nodes16
Edges15
Triples27
Avg. degree1.88
Density0.125
Components1

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Markov algorithm

Top relations

related to References · 19
Markov algorithm → Algorithms, American Mathematical Society Translations, Amsterdam, Andrey Andreevich Markov, Bobrow, Caracciolo, Co, Ed, Forino, In Symbol, Markov, Netherlands, North-Holland Publ, Russian, Steklova, String, The Theory, Translation, Trudy Instituta
related to External links · 5
Markov algorithm → IDE, Markov, Open Source, Rosetta-CodeA, Yad Studio
related to Example · 2
Markov algorithm → Markov, The
is a · 1
Markov algorithm → string rewriting system that uses grammar-like rules to operate on strings of symbols

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Important terminology

algorithm string markov algorithms displaystyle example strings substitution rules normal applied form v' alphabet formulas following first result one rule

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Markov algorithmis astring rewriting system that uses grammar-like rules to operate on strings of symbols0.90text
Markov algorithmrelated to ExampleThe0.60section
Markov algorithmrelated to ExampleMarkov0.60section
Markov algorithmrelated to External linksYad Studio0.60section
Markov algorithmrelated to External linksMarkov0.60section
Markov algorithmrelated to External linksIDE0.60section
Markov algorithmrelated to External linksOpen Source0.60section
Markov algorithmrelated to External linksRosetta-CodeA0.60section
Markov algorithmrelated to ReferencesCaracciolo0.60section
Markov algorithmrelated to ReferencesForino0.60section
Markov algorithmrelated to ReferencesString0.60section
Markov algorithmrelated to ReferencesMarkov0.60section

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