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Big O notation and E (complexity)

Difference between Big O notation and E (complexity)

Big O notation vs. E (complexity)

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. 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 Big O notation and E (complexity)

Big O notation and E (complexity) have 2 things in common (in Unionpedia): Big O notation, Computational complexity theory.

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.

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.

The list above answers the following questions

• What Big O notation and E (complexity) have in common
• What are the similarities between Big O notation and E (complexity)

Big O notation and E (complexity) Comparison

Big O notation has 97 relations, while E (complexity) has 10. As they have in common 2, the Jaccard index is 1.87% = 2 / (97 + 10).

References

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

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