Update to 2.0.0 tree from current Fremantle build

[opencv] / 3rdparty / lapack / dlarnv.c

diff --git a/3rdparty/lapack/dlarnv.c b/3rdparty/lapack/dlarnv.c
new file mode 100644 (file)
index 0000000..d486910
--- /dev/null
+++ b/3rdparty/lapack/dlarnv.c
@@ -0,0 +1,133 @@
+#include "clapack.h"
+
+/* Subroutine */ int dlarnv_(integer *idist, integer *iseed, integer *n, 
+       doublereal *x)
+{
+    /* System generated locals */
+    integer i__1, i__2, i__3;
+
+    /* Builtin functions */
+    double log(doublereal), sqrt(doublereal), cos(doublereal);
+
+    /* Local variables */
+    integer i__;
+    doublereal u[128];
+    integer il, iv, il2;
+    extern /* Subroutine */ int dlaruv_(integer *, integer *, doublereal *);
+
+
+/*  -- LAPACK auxiliary routine (version 3.1) -- */
+/*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
+/*     November 2006 */
+
+/*     .. Scalar Arguments .. */
+/*     .. */
+/*     .. Array Arguments .. */
+/*     .. */
+
+/*  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 .. */
+/*     .. */
+/*     .. Local Scalars .. */
+/*     .. */
+/*     .. Local Arrays .. */
+/*     .. */
+/*     .. Intrinsic Functions .. */
+/*     .. */
+/*     .. External Subroutines .. */
+/*     .. */
+/*     .. Executable Statements .. */
+
+    /* 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 DLARUV to generate IL2 numbers from a uniform (0,1) */
+/*        distribution (IL2 <= LV) */
+
+       dlaruv_(&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. - 1.;
+/* 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.) * cos(u[(
+                       i__ << 1) - 1] * 6.2831853071795864769252867663);
+/* L30: */
+           }
+       }
+/* L40: */
+    }
+    return 0;
+
+/*     End of DLARNV */
+
+} /* dlarnv_ */