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Special Forums News, Links, Events and Announcements Software Releases - RSS News openModeller 0.6.1 (Default branch)
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Old 01-16-2009
openModeller 0.6.1 (Default branch)
openModeller is a C++ framework providing a uniform method to model distribution patterns using a variety of algorithms. It can be used to predict species potential distribution based on a set of georeferenced occurrence points and a set of environmental layers. License: GNU General Public License (GPL) Changes:
This release contains many adjustments in the command line tools, a new method in the modeling service to perform external tests, and the ability to configure the modeling server so that all jobs are submitted to Cluster nodes via Condor. Image

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LEARN ABOUT CENTOS

zlarnv.f

zlarnv.f(3)							      LAPACK							       zlarnv.f(3)

NAME

       zlarnv.f -

SYNOPSIS

   Functions/Subroutines
       subroutine zlarnv (IDIST, ISEED, N, X)
	   ZLARNV returns a vector of random numbers from a uniform or normal distribution.

Function/Subroutine Documentation
   subroutine zlarnv (integerIDIST, integer, dimension( 4 )ISEED, integerN, complex*16, dimension( * )X)
       ZLARNV returns a vector of random numbers from a uniform or normal distribution.

       Purpose:

	    ZLARNV returns a vector of n random complex numbers from a uniform or
	    normal distribution.

       Parameters:
	   IDIST

		     IDIST is INTEGER
		     Specifies the distribution of the random numbers:
		     = 1:  real and imaginary parts each uniform (0,1)
		     = 2:  real and imaginary parts each uniform (-1,1)
		     = 3:  real and imaginary parts each normal (0,1)
		     = 4:  uniformly distributed on the disc abs(z) < 1
		     = 5:  uniformly distributed on the circle abs(z) = 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 COMPLEX*16 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 100 of file zlarnv.f.

Author
       Generated automatically by Doxygen for LAPACK from the source code.

Version 3.4.2							  Tue Sep 25 2012						       zlarnv.f(3)