/* rng/mrg.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2007 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 3 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., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */ #include #include #include /* This is a fifth-order multiple recursive generator. The sequence is, x_n = (a_1 x_{n-1} + a_5 x_{n-5}) mod m with a_1 = 107374182, a_2 = a_3 = a_4 = 0, a_5 = 104480 and m = 2^31-1. We initialize the generator with x_n = s_n MOD m for n = 1..5, where s_n = (69069 * s_{n-1}) mod 2^32, and s_0 = s is the user-supplied seed. NOTE: According to the paper the seeds must lie in the range [0, 2^31 - 2] with at least one non-zero value -- our seeding procedure satisfies these constraints. We then use 6 iterations of the generator to "warm up" the internal state. With this initialization procedure the theoretical value of z_{10006} is 2064828650 for s = 1. The subscript 10006 means (1) seed the generator with s = 1, (2) do the 6 warm-up iterations that are part of the seeding process, (3) then do 10000 actual iterations. The period of this generator is about 2^155. From: P. L'Ecuyer, F. Blouin, and R. Coutre, "A search for good multiple recursive random number generators", ACM Transactions on Modeling and Computer Simulation 3, 87-98 (1993). */ static inline unsigned long int mrg_get (void *vstate); static double mrg_get_double (void *vstate); static void mrg_set (void *state, unsigned long int s); static const long int m = 2147483647; static const long int a1 = 107374182, q1 = 20, r1 = 7; static const long int a5 = 104480, q5 = 20554, r5 = 1727; typedef struct { long int x1, x2, x3, x4, x5; } mrg_state_t; static inline unsigned long int mrg_get (void *vstate) { mrg_state_t *state = (mrg_state_t *) vstate; long int p1, h1, p5, h5; h5 = state->x5 / q5; p5 = a5 * (state->x5 - h5 * q5) - h5 * r5; if (p5 > 0) p5 -= m; h1 = state->x1 / q1; p1 = a1 * (state->x1 - h1 * q1) - h1 * r1; if (p1 < 0) p1 += m; state->x5 = state->x4; state->x4 = state->x3; state->x3 = state->x2; state->x2 = state->x1; state->x1 = p1 + p5; if (state->x1 < 0) state->x1 += m; return state->x1; } static double mrg_get_double (void *vstate) { return mrg_get (vstate) / 2147483647.0 ; } static void mrg_set (void *vstate, unsigned long int s) { /* An entirely adhoc way of seeding! This does **not** come from L'Ecuyer et al */ mrg_state_t *state = (mrg_state_t *) vstate; if (s == 0) s = 1; /* default seed is 1 */ #define LCG(n) ((69069 * n) & 0xffffffffUL) s = LCG (s); state->x1 = s % m; s = LCG (s); state->x2 = s % m; s = LCG (s); state->x3 = s % m; s = LCG (s); state->x4 = s % m; s = LCG (s); state->x5 = s % m; /* "warm it up" with at least 5 calls to go through all the x values */ mrg_get (state); mrg_get (state); mrg_get (state); mrg_get (state); mrg_get (state); mrg_get (state); return; } static const gsl_rng_type mrg_type = {"mrg", /* name */ 2147483646, /* RAND_MAX */ 0, /* RAND_MIN */ sizeof (mrg_state_t), &mrg_set, &mrg_get, &mrg_get_double}; const gsl_rng_type *gsl_rng_mrg = &mrg_type;