org.netlib.lapack
Class Dlarnv

java.lang.Object
  org.netlib.lapack.Dlarnv

public class Dlarnv
extends java.lang.Object

Following is the description from the original
Fortran source.  For each array argument, the Java
version will include an integer offset parameter, so
the arguments may not match the description exactly.
Contact seymour@cs.utk.edu with any questions.


 *     ..
 *
 *  Purpose
 *  =======
 *
 *  DLARNV returns a vector of n random real numbers from a uniform or
 *  normal distribution.
 *
 *  Arguments
 *  =========
 *
 *  IDIST   (input) INTEGER
 *          Specifies the distribution of the random numbers:
 *          = 1:  uniform (0,1)
 *          = 2:  uniform (-1,1)
 *          = 3:  normal (0,1)
 *
 *  ISEED   (input/output) 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       (input) INTEGER
 *          The number of random numbers to be generated.
 *
 *  X       (output) DOUBLE PRECISION array, dimension (N)
 *          The generated random numbers.
 *
 *  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.
 *
 *  =====================================================================
 *
 *     .. Parameters ..

Constructor Summary

Dlarnv()

Method Summary

static void

dlarnv(int idist, int[] iseed, int _iseed_offset, int n, double[] x, int _x_offset)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Dlarnv

public Dlarnv()

Method Detail

dlarnv

public static void dlarnv(int idist,
                          int[] iseed,
                          int _iseed_offset,
                          int n,
                          double[] x,
                          int _x_offset)