Computational complexity theory and Four color theorem

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

Difference between Computational complexity theory and Four color theorem

Computational complexity theory vs. Four color theorem

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. In mathematics, the four color theorem, or the four color map theorem, states that, given any separation of a plane into contiguous regions, producing a figure called a map, no more than four colors are required to color the regions of the map so that no two adjacent regions have the same color.

Similarities between Computational complexity theory and Four color theorem

Computational complexity theory and Four color theorem have 5 things in common (in Unionpedia): Big O notation, Graph (discrete mathematics), Graph theory, NP-completeness, Time complexity.

Big O notation

Big O notation is a mathematical notation that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity.

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Graph (discrete mathematics)

In mathematics, and more specifically in graph theory, a graph is a structure amounting to a set of objects in which some pairs of the objects are in some sense "related".

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Graph theory

In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects.

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NP-completeness

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

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Time complexity

In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.

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The list above answers the following questions

What Computational complexity theory and Four color theorem have in common
What are the similarities between Computational complexity theory and Four color theorem

Computational complexity theory and Four color theorem Comparison

Computational complexity theory has 164 relations, while Four color theorem has 92. As they have in common 5, the Jaccard index is 1.95% = 5 / (164 + 92).

References

This article shows the relationship between Computational complexity theory and Four color theorem. To access each article from which the information was extracted, please visit:

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