Context-sensitive language and Linear bounded automaton

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Context-sensitive language and Linear bounded automaton

Context-sensitive language vs. Linear bounded automaton

In formal language theory, a context-sensitive language is a language that can be defined by a context-sensitive grammar (and equivalently by a noncontracting grammar). In computer science, a linear bounded automaton (plural linear bounded automata, abbreviated LBA) is a restricted form of Turing machine.

Similarities between Context-sensitive language and Linear bounded automaton

Context-sensitive language and Linear bounded automaton have 3 things in common (in Unionpedia): Context-sensitive language, Immerman–Szelepcsényi theorem, Non-deterministic Turing machine.

Context-sensitive language

In formal language theory, a context-sensitive language is a language that can be defined by a context-sensitive grammar (and equivalently by a noncontracting grammar).

Context-sensitive language and Context-sensitive language · Context-sensitive language and Linear bounded automaton · See more »

Immerman–Szelepcsényi theorem

In computational complexity theory, the Immerman–Szelepcsényi theorem states that nondeterministic space complexity classes are closed under complementation.

Context-sensitive language and Immerman–Szelepcsényi theorem · Immerman–Szelepcsényi theorem and Linear bounded automaton · See more »

Non-deterministic Turing machine

In theoretical computer science, a Turing machine is a theoretical machine that is used in thought experiments to examine the abilities and limitations of computers.

Context-sensitive language and Non-deterministic Turing machine · Linear bounded automaton and Non-deterministic Turing machine · See more »

The list above answers the following questions

What Context-sensitive language and Linear bounded automaton have in common
What are the similarities between Context-sensitive language and Linear bounded automaton

Context-sensitive language and Linear bounded automaton Comparison

Context-sensitive language has 20 relations, while Linear bounded automaton has 18. As they have in common 3, the Jaccard index is 7.89% = 3 / (20 + 18).

References

This article shows the relationship between Context-sensitive language and Linear bounded automaton. To access each article from which the information was extracted, please visit:

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