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Finite-state machine and R (complexity)

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

Difference between Finite-state machine and R (complexity)

Finite-state machine vs. R (complexity)

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. 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 Finite-state machine and R (complexity)

Finite-state machine and R (complexity) have 2 things in common (in Unionpedia): Finite-state machine, Turing machine.

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 Finite-state machine · Finite-state machine 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.

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

The list above answers the following questions

Finite-state machine and R (complexity) Comparison

Finite-state machine has 101 relations, while R (complexity) has 6. As they have in common 2, the Jaccard index is 1.87% = 2 / (101 + 6).

References

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

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