Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Free
Faster access than browser!
 

Computational resource and L (complexity)

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

Difference between Computational resource and L (complexity)

Computational resource vs. L (complexity)

In computational complexity theory, a computational resource is a resource used by some computational models in the solution of computational problems. In computational complexity theory, L (also known as LSPACE or DLOGSPACE) is the complexity class containing decision problems that can be solved by a deterministic Turing machine using a logarithmic amount of writable memory space.

Similarities between Computational resource and L (complexity)

Computational resource and L (complexity) have 3 things in common (in Unionpedia): Complexity class, Computational complexity theory, Turing machine.

Complexity class

In computational complexity theory, a complexity class is a set of problems of related resource-based complexity.

Complexity class and Computational resource · Complexity class and L (complexity) · See more »

Computational complexity theory

Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.

Computational complexity theory and Computational resource · Computational complexity theory and L (complexity) · See more »

Turing machine

A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules.

Computational resource and Turing machine · L (complexity) and Turing machine · See more »

The list above answers the following questions

Computational resource and L (complexity) Comparison

Computational resource has 12 relations, while L (complexity) has 39. As they have in common 3, the Jaccard index is 5.88% = 3 / (12 + 39).

References

This article shows the relationship between Computational resource and L (complexity). To access each article from which the information was extracted, please visit:

Hey! We are on Facebook now! »