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Complexity class and E (complexity)

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

Difference between Complexity class and E (complexity)

Complexity class vs. E (complexity)

In computational complexity theory, a complexity class is a set of problems of related resource-based complexity. In computational complexity theory, the complexity class E is the set of decision problems that can be solved by a deterministic Turing machine in time 2O(n) and is therefore equal to the complexity class DTIME(2O(n)).

Similarities between Complexity class and E (complexity)

Complexity class and E (complexity) have 7 things in common (in Unionpedia): Big O notation, Computational complexity theory, Decision problem, DTIME, EXPTIME, Polynomial-time reduction, Turing machine.

Big O notation

In mathematics, big O notation describes the limiting behavior of a function when the argument tends towards a particular value or infinity, usually in terms of simpler functions.

Big O notation and Complexity class · Big O notation and E (complexity) · 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.

Complexity class and Computational complexity theory · Computational complexity theory and E (complexity) · See more »

Decision problem

In computability theory and computational complexity theory, a decision problem is a question in some formal system with a yes-or-no answer, depending on the values of some input parameters.

Complexity class and Decision problem · Decision problem and E (complexity) · See more »

DTIME

In computational complexity theory, DTIME (or TIME) is the computational resource of computation time for a deterministic Turing machine.

Complexity class and DTIME · DTIME and E (complexity) · See more »

EXPTIME

In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n. In terms of DTIME, We know and also, by the time hierarchy theorem and the space hierarchy theorem, that so at least one of the first three inclusions and at least one of the last three inclusions must be proper, but it is not known which ones are.

Complexity class and EXPTIME · E (complexity) and EXPTIME · See more »

Polynomial-time reduction

In computational complexity theory, a polynomial-time reduction is a method of solving one problem by means of a hypothetical subroutine for solving a different problem (that is, a reduction), that uses polynomial time excluding the time within the subroutine.

Complexity class and Polynomial-time reduction · E (complexity) and Polynomial-time reduction · 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.

Complexity class and Turing machine · E (complexity) and Turing machine · See more »

The list above answers the following questions

Complexity class and E (complexity) Comparison

Complexity class has 75 relations, while E (complexity) has 10. As they have in common 7, the Jaccard index is 8.24% = 7 / (75 + 10).

References

This article shows the relationship between Complexity class and E (complexity). To access each article from which the information was extracted, please visit:

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