X-Git-Url: https://vcs.maemo.org/git/?a=blobdiff_plain;f=3rdparty%2Flapack%2Fdlarnv.c;fp=3rdparty%2Flapack%2Fdlarnv.c;h=d48691042935d2012fa0ecce59604950dab655e8;hb=e4c14cdbdf2fe805e79cd96ded236f57e7b89060;hp=0000000000000000000000000000000000000000;hpb=454138ff8a20f6edb9b65a910101403d8b520643;p=opencv diff --git a/3rdparty/lapack/dlarnv.c b/3rdparty/lapack/dlarnv.c new file mode 100644 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_ */