module Rnd:sig
..end
Please refer to
GSL documentation for details.
val flat : float -> float -> float
flat a b
draws a random number from the interval [a,b)
with a uniform
distribution.val uniform : unit -> float
uniform
returns a random float number within [0,1)
, including 0
but excluding 1. uniform ()
is equivalent to flat 0. 1.
val gaussian : ?sigma:float -> unit -> float
gaussian ~sigma:s ()
returns the value of a random variable that
follows Normal distribution of sigma = s
.val gaussian_tail : float -> float -> float
gaussian_tail a x sigma
returns a random value of a gaussian tail
distribution. note "a" must be positive.val bivariate_gaussian : float -> float -> float -> float * float
bivariate_gaussian sigma_x sigma_y rho
returns a pair of correlated
gaussian variates, with mean zero, correlation coefficient rho -1, 1
and
standard deviations sigma_x and sigma_y in the x and y directions.val exponential : float -> float
exponential mu
return a random value that follows exponential distribution.val laplace : float -> float
val exppow : float -> float -> float
val cauchy : float -> float
val rayleigh : float -> float
val landau : unit -> float
val levy : float -> float -> float
val levy_skew : float -> float -> float -> float
val gamma : float -> float -> float
val lognormal : float -> float -> float
val chisq : float -> float
val dirichlet : float array -> float array -> unit
val fdist : float -> float -> float
val tdist : float -> float
val beta : float -> float -> float
val logistic : float -> float
val pareto : float -> float -> float
val dir_2d : unit -> float * float
val dir_2d_trig_method : unit -> float * float
val dir_3d : unit -> float * float * float
val dir_nd : int -> float array
val weibull : float -> float -> float
val gumbel1 : float -> float -> float
val gumbel2 : float -> float -> float
val uniform_int : ?a:int -> ?b:int -> unit -> int
uniform_int a b
returns a random int between a and b inclusive,
i.e., a random int in a, b
val poisson : float -> int
val bernoulli : float -> int
val binomial : float -> int -> int
val multinomial : int -> float array -> int array
val negative_binomial : float -> float -> int
val pascal : float -> int -> int
val geometric : float -> int
val hypergeometric : int -> int -> int -> int
val logarithmic : float -> int