source: palm/trunk/SOURCE/random_gauss.f90 @ 4295

!> @file random_gauss.f90
!------------------------------------------------------------------------------!
! This file is part of the PALM model system.
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! PALM is free software: you can redistribute it and/or modify it under the
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! A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
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! You should have received a copy of the GNU General Public License along with
! PALM. If not, see <http://www.gnu.org/licenses/>.
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! Copyright 1997-2019 Leibniz Universitaet Hannover
!------------------------------------------------------------------------------!
!
! Current revisions:
! -----------------
! 
! 
! Former revisions:
! -----------------
! $Id: random_gauss.f90 4182 2019-08-22 15:20:23Z monakurppa $
! Corrected "Former revisions" section
! 
! 3655 2019-01-07 16:51:22Z knoop
! Corrected "Former revisions" section
!
! Revision 1.1  1998/03/25 20:09:47  raasch
! Initial revision
!
!
! Description:
! ------------
!> Generates a gaussian distributed random number (mean value 1, sigma = 1)
!> This routine is taken from the "numerical recipies".
!------------------------------------------------------------------------------!
 FUNCTION random_gauss( idum, upper_limit )
 

    USE kinds

    USE random_function_mod,                                                   &
        ONLY:  random_function

    IMPLICIT NONE

    INTEGER(iwp) ::  idum          !<
    INTEGER(iwp) ::  iset          !<

    REAL(wp)     ::  fac           !<
    REAL(wp)     ::  gset          !<
    REAL(wp)     ::  random_gauss  !<
    REAL(wp)     ::  rsq           !<
    REAL(wp)     ::  upper_limit   !<
    REAL(wp)     ::  v1            !<
    REAL(wp)     ::  v2            !<

    SAVE  iset, gset

    DATA  iset /0/

!
!-- Random numbers are created as long as they do not fall below the given
!-- upper limit
    DO

       IF ( iset == 0 )  THEN
          rsq = 0.0_wp
          DO  WHILE ( rsq >= 1.0_wp  .OR.  rsq == 0.0_wp )
             v1  = 2.0_wp * random_function( idum ) - 1.0_wp
             v2  = 2.0_wp * random_function( idum ) - 1.0_wp
             rsq = v1**2 + v2**2
          ENDDO
          fac          = SQRT( -2.0_wp * LOG( rsq ) / rsq )
          gset         = v1 * fac
          random_gauss = v2 * fac + 1.0_wp
          iset         = 1
       ELSE
          random_gauss = gset + 1.0_wp
          iset         = 0
       ENDIF

       IF ( ABS( random_gauss - 1.0_wp ) <= upper_limit )  EXIT

    ENDDO

 END FUNCTION random_gauss