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Computable function and R (complexity)

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

Difference between Computable function and R (complexity)

Computable function vs. R (complexity)

Computable functions are the basic objects of study in computability theory. In computational complexity theory, R is the class of decision problems solvable by a Turing machine, which is the set of all recursive languages.

Similarities between Computable function and R (complexity)

Computable function and R (complexity) have 2 things in common (in Unionpedia): Computational complexity theory, Turing machine.

Computational complexity theory

Computational complexity theory is a branch of the theory of computation in theoretical computer science and mathematics that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.

Computable function and Computational complexity theory · Computational complexity theory and R (complexity) · See more »

Turing machine

A Turing machine is an abstract "machine" that manipulates symbols on a strip of tape according to a table of rules; to be more exact, it is a mathematical model that defines such a device.

Computable function and Turing machine · R (complexity) and Turing machine · See more »

The list above answers the following questions

Computable function and R (complexity) Comparison

Computable function has 60 relations, while R (complexity) has 6. As they have in common 2, the Jaccard index is 3.03% = 2 / (60 + 6).

References

This article shows the relationship between Computable function and R (complexity). To access each article from which the information was extracted, please visit:

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