dlarnv.c
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00001 /* dlarnv.f -- translated by f2c (version 20061008).
00002    You must link the resulting object file with libf2c:
00003         on Microsoft Windows system, link with libf2c.lib;
00004         on Linux or Unix systems, link with .../path/to/libf2c.a -lm
00005         or, if you install libf2c.a in a standard place, with -lf2c -lm
00006         -- in that order, at the end of the command line, as in
00007                 cc *.o -lf2c -lm
00008         Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,
00009 
00010                 http://www.netlib.org/f2c/libf2c.zip
00011 */
00012 
00013 #include "f2c.h"
00014 #include "blaswrap.h"
00015 
00016 /* Subroutine */ int dlarnv_(integer *idist, integer *iseed, integer *n, 
00017         doublereal *x)
00018 {
00019     /* System generated locals */
00020     integer i__1, i__2, i__3;
00021 
00022     /* Builtin functions */
00023     double log(doublereal), sqrt(doublereal), cos(doublereal);
00024 
00025     /* Local variables */
00026     integer i__;
00027     doublereal u[128];
00028     integer il, iv, il2;
00029     extern /* Subroutine */ int dlaruv_(integer *, integer *, doublereal *);
00030 
00031 
00032 /*  -- LAPACK auxiliary routine (version 3.2) -- */
00033 /*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
00034 /*     November 2006 */
00035 
00036 /*     .. Scalar Arguments .. */
00037 /*     .. */
00038 /*     .. Array Arguments .. */
00039 /*     .. */
00040 
00041 /*  Purpose */
00042 /*  ======= */
00043 
00044 /*  DLARNV returns a vector of n random real numbers from a uniform or */
00045 /*  normal distribution. */
00046 
00047 /*  Arguments */
00048 /*  ========= */
00049 
00050 /*  IDIST   (input) INTEGER */
00051 /*          Specifies the distribution of the random numbers: */
00052 /*          = 1:  uniform (0,1) */
00053 /*          = 2:  uniform (-1,1) */
00054 /*          = 3:  normal (0,1) */
00055 
00056 /*  ISEED   (input/output) INTEGER array, dimension (4) */
00057 /*          On entry, the seed of the random number generator; the array */
00058 /*          elements must be between 0 and 4095, and ISEED(4) must be */
00059 /*          odd. */
00060 /*          On exit, the seed is updated. */
00061 
00062 /*  N       (input) INTEGER */
00063 /*          The number of random numbers to be generated. */
00064 
00065 /*  X       (output) DOUBLE PRECISION array, dimension (N) */
00066 /*          The generated random numbers. */
00067 
00068 /*  Further Details */
00069 /*  =============== */
00070 
00071 /*  This routine calls the auxiliary routine DLARUV to generate random */
00072 /*  real numbers from a uniform (0,1) distribution, in batches of up to */
00073 /*  128 using vectorisable code. The Box-Muller method is used to */
00074 /*  transform numbers from a uniform to a normal distribution. */
00075 
00076 /*  ===================================================================== */
00077 
00078 /*     .. Parameters .. */
00079 /*     .. */
00080 /*     .. Local Scalars .. */
00081 /*     .. */
00082 /*     .. Local Arrays .. */
00083 /*     .. */
00084 /*     .. Intrinsic Functions .. */
00085 /*     .. */
00086 /*     .. External Subroutines .. */
00087 /*     .. */
00088 /*     .. Executable Statements .. */
00089 
00090     /* Parameter adjustments */
00091     --x;
00092     --iseed;
00093 
00094     /* Function Body */
00095     i__1 = *n;
00096     for (iv = 1; iv <= i__1; iv += 64) {
00097 /* Computing MIN */
00098         i__2 = 64, i__3 = *n - iv + 1;
00099         il = min(i__2,i__3);
00100         if (*idist == 3) {
00101             il2 = il << 1;
00102         } else {
00103             il2 = il;
00104         }
00105 
00106 /*        Call DLARUV to generate IL2 numbers from a uniform (0,1) */
00107 /*        distribution (IL2 <= LV) */
00108 
00109         dlaruv_(&iseed[1], &il2, u);
00110 
00111         if (*idist == 1) {
00112 
00113 /*           Copy generated numbers */
00114 
00115             i__2 = il;
00116             for (i__ = 1; i__ <= i__2; ++i__) {
00117                 x[iv + i__ - 1] = u[i__ - 1];
00118 /* L10: */
00119             }
00120         } else if (*idist == 2) {
00121 
00122 /*           Convert generated numbers to uniform (-1,1) distribution */
00123 
00124             i__2 = il;
00125             for (i__ = 1; i__ <= i__2; ++i__) {
00126                 x[iv + i__ - 1] = u[i__ - 1] * 2. - 1.;
00127 /* L20: */
00128             }
00129         } else if (*idist == 3) {
00130 
00131 /*           Convert generated numbers to normal (0,1) distribution */
00132 
00133             i__2 = il;
00134             for (i__ = 1; i__ <= i__2; ++i__) {
00135                 x[iv + i__ - 1] = sqrt(log(u[(i__ << 1) - 2]) * -2.) * cos(u[(
00136                         i__ << 1) - 1] * 6.2831853071795864769252867663);
00137 /* L30: */
00138             }
00139         }
00140 /* L40: */
00141     }
00142     return 0;
00143 
00144 /*     End of DLARNV */
00145 
00146 } /* dlarnv_ */


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autogenerated on Sat Jun 8 2019 18:55:46