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simulation::random(n)                       Tcl Simulation Tools                       simulation::random(n)



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NAME
       simulation::random - Pseudo-random number generators

SYNOPSIS
       package require Tcl  ?8.4?

       package require simulation::random  0.1

       ::simulation::random::prng_Bernoulli p

       ::simulation::random::prng_Discrete n

       ::simulation::random::prng_Poisson lambda

       ::simulation::random::prng_Uniform min max

       ::simulation::random::prng_Exponential min mean

       ::simulation::random::prng_Normal mean stdev

       ::simulation::random::prng_Pareto min steep

       ::simulation::random::prng_Gumbel min f

       ::simulation::random::prng_chiSquared df

       ::simulation::random::prng_Disk rad

       ::simulation::random::prng_Sphere rad

       ::simulation::random::prng_Ball rad

       ::simulation::random::prng_Rectangle length width

       ::simulation::random::prng_Block length width depth

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DESCRIPTION
       This  package  consists  of  commands to generate pseudo-random number generators. These new commands
       deliver

       •      numbers that are distributed normally, uniformly, according to a Pareto or Gumbel distribution
              and so on

       •      coordinates of points uniformly spread inside a sphere or a rectangle

       For example:

           set p [::simulation::random::prng_Normal -1.0 10.0]

       produces a new command (whose name is stored in the variable "p") that generates normally distributed
       numbers with a mean of -1.0 and a standard deviation of 10.0.

PROCEDURES
       The package defines the following public procedures for discrete distributions:

       ::simulation::random::prng_Bernoulli p
              Create a command (PRNG) that generates numbers with a Bernoulli  distribution:  the  value  is
              either 1 or 0, with a chance p to be 1

              float p
                     Chance the outcome is 1


       ::simulation::random::prng_Discrete n
              Create a command (PRNG) that generates numbers 0 to n-1 with equal probability.

              int n  Number of different values (ranging from 0 to n-1)


       ::simulation::random::prng_Poisson lambda
              Create a command (PRNG) that generates numbers according to the Poisson distribution.

              float lambda
                     Mean number per time interval

       The package defines the following public procedures for continuous distributions:

       ::simulation::random::prng_Uniform min max
              Create  a command (PRNG) that generates uniformly distributed numbers between "min" and "max".

              float min
                     Minimum number that will be generated

              float max
                     Maximum number that will be generated


       ::simulation::random::prng_Exponential min mean
              Create a command (PRNG) that generates exponentially distributed numbers with a given  minimum
              value and a given mean value.

              float min
                     Minimum number that will be generated

              float mean
                     Mean value for the numbers


       ::simulation::random::prng_Normal mean stdev
              Create  a  command  (PRNG) that generates normally distributed numbers with a given mean value
              and a given standard deviation.

              float mean
                     Mean value for the numbers

              float stdev
                     Standard deviation


       ::simulation::random::prng_Pareto min steep
              Create a command (PRNG) that generates numbers distributed according to Pareto  with  a  given
              minimum value and a given distribution steepness.

              float min
                     Minimum number that will be generated

              float steep
                     Steepness of the distribution


       ::simulation::random::prng_Gumbel min f
              Create  a  command  (PRNG) that generates numbers distributed according to Gumbel with a given
              minimum value and a given scale factor. The probability density function is:

                   P(v) = exp( -exp(f*(v-min)))


              float min
                     Minimum number that will be generated

              float f
                     Scale factor for the values


       ::simulation::random::prng_chiSquared df
              Create a command (PRNG) that generates numbers distributed according to the  chi-squared  dis-tribution distribution
              tribution with df degrees of freedom. The mean is 0 and the standard deviation is 1.

              float df
                     Degrees of freedom

       The package defines the following public procedures for random point sets:

       ::simulation::random::prng_Disk rad
              Create  a  command  (PRNG) that generates (x,y)-coordinates for points uniformly spread over a
              disk of given radius.

              float rad
                     Radius of the disk


       ::simulation::random::prng_Sphere rad
              Create a command (PRNG) that generates (x,y,z)-coordinates for points  uniformly  spread  over
              the surface of a sphere of given radius.

              float rad
                     Radius of the disk


       ::simulation::random::prng_Ball rad
              Create  a command (PRNG) that generates (x,y,z)-coordinates for points uniformly spread within
              a ball of given radius.

              float rad
                     Radius of the ball


       ::simulation::random::prng_Rectangle length width
              Create a command (PRNG) that generates (x,y)-coordinates for points uniformly  spread  over  a
              rectangle.

              float length
                     Length of the rectangle (x-direction)

              float width
                     Width of the rectangle (y-direction)


       ::simulation::random::prng_Block length width depth
              Create  a  command  (PRNG) that generates (x,y)-coordinates for points uniformly spread over a
              block

              float length
                     Length of the block (x-direction)

              float width
                     Width of the block (y-direction)

              float depth
                     Depth of the block (z-direction)


KEYWORDS
       math, random numbers, simulation, statistical distribution

CATEGORY
       Mathematics

COPYRIGHT
       Copyright (c) 2004 Arjen Markus <arjenmarkus@users.sourceforge.net>




simulation                                           0.1                               simulation::random(n)