📄 zuf.c
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/* rng/zuf.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 James Theiler, Brian Gough * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or (at * your option) any later version. * * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */#include <config.h>#include <stdlib.h>#include <gsl/gsl_rng.h>/* It is crucial that m == n-273 mod 607 at all times; For speed of execution, however, this is never enforced. Instead is is set in the initializer: note 607-273=334 Note also that the state.u[607] is not initialized */static inline unsigned long int zuf_get (void *vstate);static double zuf_get_double (void *vstate);static void zuf_set (void *state, unsigned long int s);static const unsigned long int zuf_randmax = 16777216; /* 2^24 */typedef struct { int n; unsigned long int u[607]; }zuf_state_t;/* The zufall package was implemented with float's, which is to say 24 bits of precision. Since I'm using long's instead, my RANDMAX reflects this. */static inline unsigned long intzuf_get (void *vstate){ zuf_state_t *state = (zuf_state_t *) vstate; const int n = state->n; const int m = (n - 273 + 607) % 607; unsigned long int t = state->u[n] + state->u[m]; while (t > zuf_randmax) t -= zuf_randmax; state->u[n] = t; if (n == 606) { state->n = 0; } else { state->n = n + 1; } return t;}static doublezuf_get_double (void *vstate){ return zuf_get (vstate) / 16777216.0 ;}static voidzuf_set (void *vstate, unsigned long int s){ /* A very elaborate seeding procedure is provided with the zufall package; this is virtually a copy of that procedure */ /* Initialized data */ long int kl = 9373; long int ij = 1802; /* Local variables */ long int i, j, k, l, m; double x, y; long int ii, jj; zuf_state_t *state = (zuf_state_t *) vstate; state->n = 0;/* generates initial seed buffer by linear congruential *//* method. Taken from Marsaglia, FSU report FSU-SCRI-87-50 *//* variable seed should be 0 < seed <31328 */ if (s == 0) s = 1802; /* default seed is 1802 */ ij = s; i = ij / 177 % 177 + 2; j = ij % 177 + 2; k = kl / 169 % 178 + 1; l = kl % 169; for (ii = 0; ii < 607; ++ii) { x = 0.0; y = 0.5; /* 24 bits?? */ for (jj = 1; jj <= 24; ++jj) { m = i * j % 179 * k % 179; i = j; j = k; k = m; l = (l * 53 + 1) % 169; if (l * m % 64 >= 32) { x += y; } y *= 0.5; } state->u[ii] = (unsigned long int) (x * zuf_randmax); }}static const gsl_rng_type zuf_type ={"zuf", /* name */ 0x00ffffffUL, /* RAND_MAX */ 0, /* RAND_MIN */ sizeof (zuf_state_t), &zuf_set, &zuf_get, &zuf_get_double};const gsl_rng_type *gsl_rng_zuf = &zuf_type;
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