Function application and Von Neumann–Bernays–Gödel set theory

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

Difference between Function application and Von Neumann–Bernays–Gödel set theory

Function application vs. Von Neumann–Bernays–Gödel set theory

In mathematics, function application is the act of applying a function to an argument from its domain so as to obtain the corresponding value from its range. In the foundations of mathematics, von Neumann–Bernays–Gödel set theory (NBG) is an axiomatic set theory that is a conservative extension of Zermelo–Fraenkel set theory (ZFC).

Similarities between Function application and Von Neumann–Bernays–Gödel set theory

Function application and Von Neumann–Bernays–Gödel set theory have 2 things in common (in Unionpedia): Function (mathematics), Function composition.

Function (mathematics)

In mathematics, a function was originally the idealization of how a varying quantity depends on another quantity.

Function (mathematics) and Function application · Function (mathematics) and Von Neumann–Bernays–Gödel set theory · See more »

Function composition

In mathematics, function composition is the pointwise application of one function to the result of another to produce a third function.

Function application and Function composition · Function composition and Von Neumann–Bernays–Gödel set theory · See more »

The list above answers the following questions

What Function application and Von Neumann–Bernays–Gödel set theory have in common
What are the similarities between Function application and Von Neumann–Bernays–Gödel set theory

Function application and Von Neumann–Bernays–Gödel set theory Comparison

Function application has 17 relations, while Von Neumann–Bernays–Gödel set theory has 146. As they have in common 2, the Jaccard index is 1.23% = 2 / (17 + 146).

References

This article shows the relationship between Function application and Von Neumann–Bernays–Gödel set theory. To access each article from which the information was extracted, please visit:

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