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Random permutation

A random permutation is a sequence where any order of its items is equally likely at random, that is, it is a permutation-valued random variable of a set of objects. The use of random permutations is common in games of chance and in randomized algorithms in coding theory, cryptography, and simulation. A good example of a random permutation is the fair…

Computation of random permutations, Statistics on random permutations & Overview

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Overview

Computation of random permutations

Statistics on random permutations

Advanced semantic analysis

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Map overview Semantic statistics

Random permutation

Nodes30
Edges29
Triples19
Avg. degree1.93
Density0.066667
Components1

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Random permutation

Top relations

related to Randomness testing · 4
Random permutation → As, Diehard, Fisher-Yates, There
related to External links · 3
Random permutation → Knuth, MathWorldRandom, Random
related to Fixed points · 3
Random permutation → In, Poisson, The
is a · 2
Random permutation → fair shuffling of a standard deck of cards, sequence where any order of its items is equally likely at random
see also · 2
Random permutation → Dickman, Ewens's
has method · 1
Random permutation → One

Important terminology Word statistics

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Important terminology

random permutation permutations algorithm number uniformly distribution without randomly numbers step retries set randomness fixed points sequence shuffling inclusive replacement

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Random permutationis asequence where any order of its items is equally likely at random0.90text
Random permutationis afair shuffling of a standard deck of cards0.90text
the Fisher-Yates shuffleinstance ofthe quality of the distribution generated by an implementation of a randomized algorithm0.80text
i.e.instance ofthe quality of the distribution generated by an implementation of a randomized algorithm0.80text
how close the actually generated distribution is to the desired distributioninstance ofthe quality of the distribution generated by an implementation of a randomized algorithm0.80text
will depend on the quality of underlying sources of randomness in the implementation such as pseudorandom number generators or hardware random number generatorsinstance ofthe quality of the distribution generated by an implementation of a randomized algorithm0.80text
Random permutationhas methodOne0.60section
Random permutationrelated to External linksRandom0.60section
Random permutationrelated to External linksMathWorldRandom0.60section
Random permutationrelated to External linksKnuth0.60section
Random permutationrelated to Fixed pointsThe0.60section
Random permutationrelated to Fixed pointsPoisson0.60section

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