NP-equivalent and Subset sum problem

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

Difference between NP-equivalent and Subset sum problem

NP-equivalent vs. Subset sum problem

In computational complexity theory, the complexity class NP-equivalent is the set of function problems that are both NP-easy and NP-hard. In computer science, the subset sum problem is an important problem in complexity theory and cryptography.

Similarities between NP-equivalent and Subset sum problem

NP-equivalent and Subset sum problem have 2 things in common (in Unionpedia): Computational complexity theory, NP-completeness.

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 NP-equivalent · Computational complexity theory and Subset sum problem · See more »

NP-completeness

In computational complexity theory, an NP-complete decision problem is one belonging to both the NP and the NP-hard complexity classes.

NP-completeness and NP-equivalent · NP-completeness and Subset sum problem · See more »

The list above answers the following questions

What NP-equivalent and Subset sum problem have in common
What are the similarities between NP-equivalent and Subset sum problem

NP-equivalent and Subset sum problem Comparison

NP-equivalent has 13 relations, while Subset sum problem has 19. As they have in common 2, the Jaccard index is 6.25% = 2 / (13 + 19).

References

This article shows the relationship between NP-equivalent and Subset sum problem. To access each article from which the information was extracted, please visit:

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