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# R (complexity) and Turing machine

## 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.

### 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.

### 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.

### The list above answers the following questions

• What R (complexity) and Turing machine have in common
• What are the similarities between R (complexity) and Turing machine

## 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).

## References

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

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