Editing Numbers with a Gaussian distribution
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[[ | [[Random number]] generators usually provide numbers with a uniform (flat) | ||
distribution. | distribution. Sometimes it is desirable to generate numbers with some | ||
other distributions. | other distributions. The Gaussian (normal) distribution is of paramount imporance. | ||
==Fortran 90 implementation== | ==Fortran 90 implementation== | ||
This Fortran 90 | This Fortran 90 implementation is adapted from Ref. 1, based on an algorithm from the Numerical Recipes collection, Ref. 2. The function '''ran()''' calls a [[Random_numbers | randon number generator]]: | ||
<small><pre> | <small><pre> | ||
! Returns random numbers distributed following a Gaussian with | ! Returns random numbers distributed following a Gaussian with | ||
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==References== | ==References== | ||
# Daan Frenkel and Berend Smit "Understanding Molecular Simulation: From Algorithms to Applications" p. 411 Academic Press (1996) | # Daan Frenkel and Berend Smit "Understanding Molecular Simulation: From Algorithms to Applications" p. 411 Academic Press (1996) | ||
# [http://www.nr.com Numerical Recipes | # [http://www.nr.com Numerical Recipes] | ||
[[category: random numbers]] | [[category: random numbers]] | ||
[[category: computer simulation techniques]] | [[category: computer simulation techniques]] | ||