Communication
Free
Faster access than browser!

# E (complexity) and Turing machine

## Difference between E (complexity) and Turing machine

### E (complexity) vs. Turing machine

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)). 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 E (complexity) and Turing machine

E (complexity) and Turing machine have 1 thing in common (in Unionpedia): Computational complexity 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.

### The list above answers the following questions

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

## E (complexity) and Turing machine Comparison

E (complexity) has 10 relations, while Turing machine has 140. As they have in common 1, the Jaccard index is 0.67% = 1 / (10 + 140).

## References

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

Hey! We are on Facebook now! »