194 lines
5.2 KiB
C
194 lines
5.2 KiB
C
/* -- translated by f2c (version 20240504).
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You must link the resulting object file with libf2c:
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on Microsoft Windows system, link with libf2c.lib;
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on Linux or Unix systems, link with .../path/to/libf2c.a -lm
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or, if you install libf2c.a in a standard place, with -lf2c -lm
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-- in that order, at the end of the command line, as in
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cc *.o -lf2c -lm
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Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,
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http://www.netlib.org/f2c/libf2c.zip
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*/
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#include "f2c.h"
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/* > \brief \b DLARNV returns a vector of random numbers from a uniform or normal distribution.
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=========== DOCUMENTATION ===========
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Online html documentation available at
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http://www.netlib.org/lapack/explore-html/
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> \htmlonly
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> Download DLARNV + dependencies
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> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlarnv.
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f">
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> [TGZ]</a>
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> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlarnv.
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f">
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> [ZIP]</a>
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> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlarnv.
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f">
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> [TXT]</a>
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> \endhtmlonly
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Definition:
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===========
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SUBROUTINE DLARNV( IDIST, ISEED, N, X )
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INTEGER IDIST, N
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INTEGER ISEED( 4 )
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DOUBLE PRECISION X( * )
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> \par Purpose:
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=============
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>
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> \verbatim
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>
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> DLARNV returns a vector of n random real numbers from a uniform or
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> normal distribution.
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> \endverbatim
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Arguments:
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==========
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> \param[in] IDIST
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> \verbatim
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> IDIST is INTEGER
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> Specifies the distribution of the random numbers:
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> = 1: uniform (0,1)
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> = 2: uniform (-1,1)
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> = 3: normal (0,1)
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> \endverbatim
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>
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> \param[in,out] ISEED
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> \verbatim
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> ISEED is INTEGER array, dimension (4)
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> On entry, the seed of the random number generator; the array
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> elements must be between 0 and 4095, and ISEED(4) must be
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> odd.
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> On exit, the seed is updated.
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> \endverbatim
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>
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> \param[in] N
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> \verbatim
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> N is INTEGER
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> The number of random numbers to be generated.
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> \endverbatim
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>
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> \param[out] X
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> \verbatim
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> X is DOUBLE PRECISION array, dimension (N)
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> The generated random numbers.
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> \endverbatim
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Authors:
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========
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> \author Univ. of Tennessee
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> \author Univ. of California Berkeley
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> \author Univ. of Colorado Denver
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> \author NAG Ltd.
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> \date September 2012
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> \ingroup auxOTHERauxiliary
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> \par Further Details:
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=====================
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>
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> \verbatim
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>
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> This routine calls the auxiliary routine DLARUV to generate random
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> real numbers from a uniform (0,1) distribution, in batches of up to
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> 128 using vectorisable code. The Box-Muller method is used to
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> transform numbers from a uniform to a normal distribution.
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> \endverbatim
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>
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=====================================================================
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Subroutine */ int igraphdlarnv_(integer *idist, integer *iseed, integer *n,
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doublereal *x)
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{
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/* System generated locals */
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integer i__1, i__2, i__3;
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/* Builtin functions */
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double log(doublereal), sqrt(doublereal), cos(doublereal);
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/* Local variables */
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integer i__;
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doublereal u[128];
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integer il, iv, il2;
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extern /* Subroutine */ int igraphdlaruv_(integer *, integer *, doublereal *);
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/* -- LAPACK auxiliary routine (version 3.4.2) --
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-- LAPACK is a software package provided by Univ. of Tennessee, --
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-- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
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September 2012
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=====================================================================
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Parameter adjustments */
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--x;
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--iseed;
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/* Function Body */
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i__1 = *n;
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for (iv = 1; iv <= i__1; iv += 64) {
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/* Computing MIN */
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i__2 = 64, i__3 = *n - iv + 1;
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il = min(i__2,i__3);
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if (*idist == 3) {
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il2 = il << 1;
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} else {
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il2 = il;
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}
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/* Call DLARUV to generate IL2 numbers from a uniform (0,1)
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distribution (IL2 <= LV) */
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igraphdlaruv_(&iseed[1], &il2, u);
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if (*idist == 1) {
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/* Copy generated numbers */
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i__2 = il;
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for (i__ = 1; i__ <= i__2; ++i__) {
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x[iv + i__ - 1] = u[i__ - 1];
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/* L10: */
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}
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} else if (*idist == 2) {
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/* Convert generated numbers to uniform (-1,1) distribution */
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i__2 = il;
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for (i__ = 1; i__ <= i__2; ++i__) {
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x[iv + i__ - 1] = u[i__ - 1] * 2. - 1.;
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/* L20: */
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}
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} else if (*idist == 3) {
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/* Convert generated numbers to normal (0,1) distribution */
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i__2 = il;
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for (i__ = 1; i__ <= i__2; ++i__) {
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x[iv + i__ - 1] = sqrt(log(u[(i__ << 1) - 2]) * -2.) * cos(u[(
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i__ << 1) - 1] * 6.2831853071795864769252867663);
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/* L30: */
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}
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}
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/* L40: */
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}
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return 0;
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/* End of DLARNV */
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} /* igraphdlarnv_ */
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