#include "blaswrap.h"
/* slarnv.f -- translated by f2c (version 20061008).
   You must link the resulting object file with libf2c:
	on Microsoft Windows system, link with libf2c.lib;
	on Linux or Unix systems, link with .../path/to/libf2c.a -lm
	or, if you install libf2c.a in a standard place, with -lf2c -lm
	-- in that order, at the end of the command line, as in
		cc *.o -lf2c -lm
	Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,

		http://www.netlib.org/f2c/libf2c.zip
*/

#include "f2c.h"

/* Subroutine */ int slarnv_(integer *idist, integer *iseed, integer *n, real 
	*x)
{
    /* System generated locals */
    integer i__1, i__2, i__3;

    /* Builtin functions */
    double log(doublereal), sqrt(doublereal), cos(doublereal);

    /* Local variables */
    static integer i__;
    static real u[128];
    static integer il, iv, il2;
    extern /* Subroutine */ int slaruv_(integer *, integer *, real *);


/*  -- LAPACK auxiliary routine (version 3.1) --   
       Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..   
       November 2006   


    Purpose   
    =======   

    SLARNV 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) REAL array, dimension (N)   
            The generated random numbers.   

    Further Details   
    ===============   

    This routine calls the auxiliary routine SLARUV 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.   

    =====================================================================   


       Parameter adjustments */
    --x;
    --iseed;

    /* Function Body */
    i__1 = *n;
    for (iv = 1; iv <= i__1; iv += 64) {
/* Computing MIN */
	i__2 = 64, i__3 = *n - iv + 1;
	il = min(i__2,i__3);
	if (*idist == 3) {
	    il2 = il << 1;
	} else {
	    il2 = il;
	}

/*        Call SLARUV to generate IL2 numbers from a uniform (0,1)   
          distribution (IL2 <= LV) */

	slaruv_(&iseed[1], &il2, u);

	if (*idist == 1) {

/*           Copy generated numbers */

	    i__2 = il;
	    for (i__ = 1; i__ <= i__2; ++i__) {
		x[iv + i__ - 1] = u[i__ - 1];
/* L10: */
	    }
	} else if (*idist == 2) {

/*           Convert generated numbers to uniform (-1,1) distribution */

	    i__2 = il;
	    for (i__ = 1; i__ <= i__2; ++i__) {
		x[iv + i__ - 1] = u[i__ - 1] * 2.f - 1.f;
/* L20: */
	    }
	} else if (*idist == 3) {

/*           Convert generated numbers to normal (0,1) distribution */

	    i__2 = il;
	    for (i__ = 1; i__ <= i__2; ++i__) {
		x[iv + i__ - 1] = sqrt(log(u[(i__ << 1) - 2]) * -2.f) * cos(u[
			(i__ << 1) - 1] * 6.2831853071795864769252867663f);
/* L30: */
	    }
	}
/* L40: */
    }
    return 0;

/*     End of SLARNV */

} /* slarnv_ */