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R (complexity) and Turing machine

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

Difference between R (complexity) and Turing machine

R (complexity) vs. Turing machine

In computational complexity theory, R is the class of decision problems solvable by a Turing machine, which is the set of all recursive languages. 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.

Similarities between R (complexity) and Turing machine

R (complexity) and Turing machine have 3 things in common (in Unionpedia): Computable function, Computational complexity theory, Finite-state machine.

Computable function

Computable functions are the basic objects of study in computability theory.

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

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.

Computational complexity theory and R (complexity) · Computational complexity theory and Turing machine · See more »

Finite-state machine

A finite-state machine (FSM) or finite-state automaton (plural: automata), or simply a state machine, is a mathematical model of computation used to design both computer programs and sequential logic circuits.

Finite-state machine and R (complexity) · Finite-state machine and Turing machine · See more »

The list above answers the following questions

R (complexity) and Turing machine Comparison

R (complexity) has 6 relations, while Turing machine has 140. As they have in common 3, the Jaccard index is 2.05% = 3 / (6 + 140).


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