02-24-2016
As an addendum to RudiC's reply remember to allow for any duplicate numbers in generating the array _randomly_.
Once you have the array then randomly select your 6 numbers from the array of 30 numbers, again checking for possible duplicates...
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LEARN ABOUT CENTOS
dlarnv.f
dlarnv.f(3) LAPACK dlarnv.f(3)
NAME
dlarnv.f -
SYNOPSIS
Functions/Subroutines
subroutine dlarnv (IDIST, ISEED, N, X)
DLARNV returns a vector of random numbers from a uniform or normal distribution.
Function/Subroutine Documentation
subroutine dlarnv (integerIDIST, integer, dimension( 4 )ISEED, integerN, double precision, dimension( * )X)
DLARNV returns a vector of random numbers from a uniform or normal distribution.
Purpose:
DLARNV returns a vector of n random real numbers from a uniform or
normal distribution.
Parameters:
IDIST
IDIST is INTEGER
Specifies the distribution of the random numbers:
= 1: uniform (0,1)
= 2: uniform (-1,1)
= 3: normal (0,1)
ISEED
ISEED is INTEGER array, dimension (4)
On entry, the seed of the random number generator; the array
elements must be between 0 and 4095, and ISEED(4) must be
odd.
On exit, the seed is updated.
N
N is INTEGER
The number of random numbers to be generated.
X
X is DOUBLE PRECISION array, dimension (N)
The generated random numbers.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012
Further Details:
This routine calls the auxiliary routine DLARUV to generate random
real numbers from a uniform (0,1) distribution, in batches of up to
128 using vectorisable code. The Box-Muller method is used to
transform numbers from a uniform to a normal distribution.
Definition at line 98 of file dlarnv.f.
Author
Generated automatically by Doxygen for LAPACK from the source code.
Version 3.4.2 Tue Sep 25 2012 dlarnv.f(3)