Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Install
Faster access than browser!
 
New! Discover your interests! » Create account

Big O notation and E (complexity)

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

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.

Big O notation and Big O notation · 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.

Big O notation and Computational complexity theory · Computational complexity theory and E (complexity) · See more »

The list above answers the following questions

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:

Hey! We are on Facebook now! »