Program g05kgfe
! G05KGF Example Program Text
! Mark 28.7 Release. NAG Copyright 2022.
! .. Use Statements ..
Use nag_library, Only: g05kgf, g05tlf
! .. Implicit None Statement ..
Implicit None
! .. Parameters ..
Integer, Parameter :: nout = 6
! .. Local Scalars ..
Integer :: genid, ifail, lstate, n, subid
! .. Local Arrays ..
Integer, Allocatable :: state(:), x1(:), x2(:)
! .. Intrinsic Procedures ..
Intrinsic :: any
! .. Executable Statements ..
Write (nout,*) 'G05KGF Example Program Results'
Write (nout,*)
! Choose the base generator
genid = 3
subid = 1
! Initial call to initializer to get size of STATE array
lstate = 0
Allocate (state(lstate))
ifail = 0
Call g05kgf(genid,subid,state,lstate,ifail)
! Reallocate STATE
Deallocate (state)
Allocate (state(lstate))
! Initialize the generator to a non-repeatable sequence
ifail = 0
Call g05kgf(genid,subid,state,lstate,ifail)
! Using samples of size 500
n = 500
Allocate (x1(n),x2(n))
! Generate a sample of values from a discrete uniform distribution
Call g05tlf(n,-100,100,state,x1,ifail)
! Re-initialize the generator to another non-repeatable sequence
! NB: In practice, in order to preserve its statistical properties,
! you should only initialize the RNG generators once
ifail = 0
Call g05kgf(genid,subid,state,lstate,ifail)
! Generate a second sample of values from the same distribution
Call g05tlf(n,-100,100,state,x2,ifail)
! Check that the two samples are different
If (any(x1/=x2)) Then
Write (nout,*) 'The two samples differ, as expected'
Else
Write (nout,*) 'The two samples are the same'
Write (nout,*) 'whilst this is possible, it is unlikely'
End If
End Program g05kgfe