Fast-growing hierarchy and Orders of magnitude (numbers)

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

Difference between Fast-growing hierarchy and Orders of magnitude (numbers)

Fast-growing hierarchy vs. Orders of magnitude (numbers)

In computability theory, computational complexity theory and proof theory, a fast-growing hierarchy (also called an extended Grzegorczyk hierarchy) is an ordinal-indexed family of rapidly increasing functions fα: N → N (where N is the set of natural numbers, and α ranges up to some large countable ordinal). This list contains selected positive numbers in increasing order, including counts of things, dimensionless quantity and probabilities.

Similarities between Fast-growing hierarchy and Orders of magnitude (numbers)

Fast-growing hierarchy and Orders of magnitude (numbers) have 2 things in common (in Unionpedia): Ackermann function, Computational complexity theory.

Ackermann function

In computability theory, the Ackermann function, named after Wilhelm Ackermann, is one of the simplest and earliest-discovered examples of a total computable function that is not primitive recursive.

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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.

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The list above answers the following questions

What Fast-growing hierarchy and Orders of magnitude (numbers) have in common
What are the similarities between Fast-growing hierarchy and Orders of magnitude (numbers)

Fast-growing hierarchy and Orders of magnitude (numbers) Comparison

Fast-growing hierarchy has 25 relations, while Orders of magnitude (numbers) has 407. As they have in common 2, the Jaccard index is 0.46% = 2 / (25 + 407).

References

This article shows the relationship between Fast-growing hierarchy and Orders of magnitude (numbers). To access each article from which the information was extracted, please visit:

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