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Box–Muller transform

In mathematics, the Box–Muller transform, introduced by George Edward Pelham Box and Mervin Edgar Muller, is a random number sampling method for generating pairs of independent, standard, normally distributed (zero expectation, unit variance) random numbers, given a source of uniformly distributed random numbers. The method was first mentioned explicitly…

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Basic form

Polar form

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Tails truncation

Implementation

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Box–Muller transform

Nodes43
Edges42
Triples16
Avg. degree1.95
Density0.046512
Components1

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Box–Muller transform

Top relations

related to Tails truncation · 12
Box–Muller transform → Box, IEEE-standard, If, It, L-bit, Most, Muller, Phi, The, This, When, With
related to C++ · 4
Box–Muller transform → Box, If, Muller, The

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Important terminology

displaystyle box muller form standard random distributed two normal distribution method transform basic interval pi polar number independent uniformly use

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Box–Muller transformrelated to C++The0.60section
Box–Muller transformrelated to C++Box0.60section
Box–Muller transformrelated to C++Muller0.60section
Box–Muller transformrelated to C++If0.60section
Box–Muller transformrelated to Tails truncationWhen0.60section
Box–Muller transformrelated to Tails truncationIf0.60section
Box–Muller transformrelated to Tails truncationBox0.60section
Box–Muller transformrelated to Tails truncationMuller0.60section
Box–Muller transformrelated to Tails truncationThis0.60section
Box–Muller transformrelated to Tails truncationPhi0.60section
Box–Muller transformrelated to Tails truncationWith0.60section
Box–Muller transformrelated to Tails truncationThe0.60section

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