__Random:__double**gsl_ran_gaussian_tail***(const gsl_rng **`r`, double`a`, double`sigma`)-
This function provides random variates from the upper tail of a Gaussian
distribution with standard deviation
`sigma`. The values returned are larger than the lower limit`a`, which must be positive. The method is based on Marsaglia's famous rectangle-wedge-tail algorithm (Ann Math Stat 32, 894-899 (1961)), with this aspect explained in Knuth, v2, 3rd ed, p139,586 (exercise 11).The probability distribution for Gaussian tail random variates is,

for @math{x > a} where @math{N(a;\sigma)} is the normalization constant,

__Function:__double**gsl_ran_gaussian_tail_pdf***(double*`x`, double`a`, double`sigma`)-
This function computes the probability density @math{p(x)} at
`x`for a Gaussian tail distribution with standard deviation`sigma`and lower limit`a`, using the formula given above.

__Random:__double**gsl_ran_ugaussian_tail***(const gsl_rng **`r`, double`a`)__Random:__double**gsl_ran_ugaussian_tail_pdf***(double*`x`, double`a`)-
These functions compute results for the tail of a unit Gaussian
distribution. They are equivalent to the functions above with a standard
deviation of one,
`sigma`= 1.

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