📄 glprng02.c
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/* glprng02.c *//************************************************************************ This code is part of GLPK (GNU Linear Programming Kit).** Copyright (C) 2000,01,02,03,04,05,06,07,08,2009 Andrew Makhorin,* Department for Applied Informatics, Moscow Aviation Institute,* Moscow, Russia. All rights reserved. E-mail: <mao@mai2.rcnet.ru>.** GLPK 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.** GLPK 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 GLPK. If not, see <http://www.gnu.org/licenses/>.***********************************************************************/#include "glplib.h"#include "glprng.h"#define xfault xerror/************************************************************************ NAME** rng_unif_01 - obtain pseudo-random number in the range [0, 1]** SYNOPSIS** #include "glprng.h"* double rng_unif_01(RNG *rand);** RETURNS** The routine rng_unif_01 returns a next pseudo-random number which is* uniformly distributed in the range [0, 1]. */double rng_unif_01(RNG *rand){ double x; x = (double)rng_next_rand(rand) / 2147483647.0; xassert(0.0 <= x && x <= 1.0); return x;}/************************************************************************ NAME** rng_uniform - obtain pseudo-random number in the range [a, b]** SYNOPSIS** #include "glprng.h"* double rng_uniform(RNG *rand, double a, double b);** RETURNS** The routine rng_uniform returns a next pseudo-random number which is* uniformly distributed in the range [a, b]. */double rng_uniform(RNG *rand, double a, double b){ double x; if (a >= b) xfault("rng_uniform: a = %g, b = %g; invalid range\n", a, b); x = rng_unif_01(rand); x = a * (1.0 - x) + b * x; xassert(a <= x && x <= b); return x;}/* eof */
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