/* * Mathlib : A C Library of Special Functions * Copyright (C) 1998 Ross Ihaka * Copyright (C) 2000-2002 the R Core Team * * 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, a copy is available at * https://www.R-project.org/Licenses/ * * SYNOPSIS * * #include * double exp_rand(void); * * DESCRIPTION * * Random variates from the standard exponential distribution. * * REFERENCE * * Ahrens, J.H. and Dieter, U. (1972). * Computer methods for sampling from the exponential and * normal distributions. * Comm. ACM, 15, 873-882. */ #include "nmath.h" double exp_rand(void) { /* q[k-1] = sum(log(2)^k / k!) k=1,..,n, */ /* The highest n (here 16) is determined by q[n-1] = 1.0 */ /* within standard precision */ const static double q[] = { 0.6931471805599453, 0.9333736875190459, 0.9888777961838675, 0.9984959252914960, 0.9998292811061389, 0.9999833164100727, 0.9999985691438767, 0.9999998906925558, 0.9999999924734159, 0.9999999995283275, 0.9999999999728814, 0.9999999999985598, 0.9999999999999289, 0.9999999999999968, 0.9999999999999999, 1.0000000000000000 }; double a = 0.; double u = unif_rand(); /* precaution if u = 0 is ever returned */ while(u <= 0. || u >= 1.) u = unif_rand(); for (;;) { u += u; if (u > 1.) break; a += q[0]; } u -= 1.; if (u <= q[0]) return a + u; int i = 0; double ustar = unif_rand(), umin = ustar; do { ustar = unif_rand(); if (umin > ustar) umin = ustar; i++; } while (u > q[i]); return a + umin * q[0]; }