📄 test.c
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/* siman/test.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 Mark Galassi * * 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., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */#include <config.h>#include <stdlib.h>#include <string.h>#include <math.h>#include <gsl/gsl_test.h>#include <gsl/gsl_rng.h>#include <gsl/gsl_siman.h>#include <gsl/gsl_ieee_utils.h>#include <stdio.h>/* set up parameters for this simulated annealing run */#define N_TRIES 200 /* how many points do we try before stepping */#define ITERS_FIXED_T 1000 /* how many iterations for each T? */#define STEP_SIZE 1.0 /* max step size in random walk */#define K 1.0 /* Boltzmann constant */#define T_INITIAL 0.008 /* initial temperature */#define MU_T 1.003 /* damping factor for temperature */#define T_MIN 2.0e-6gsl_siman_params_t params = {N_TRIES, ITERS_FIXED_T, STEP_SIZE, K, T_INITIAL, MU_T, T_MIN};double square (double x) ;double square (double x) { return x * x ; } double E1(void *xp);double M1(void *xp, void *yp);void S1(const gsl_rng * r, void *xp, double step_size);void P1(void *xp);/* now some functions to test in one dimension */double E1(void *xp){ double x = * ((double *) xp); return exp(-square(x-1))*sin(8*x) - exp(-square(x-1000))*0.89;}double M1(void *xp, void *yp){ double x = *((double *) xp); double y = *((double *) yp); return fabs(x - y);}void S1(const gsl_rng * r, void *xp, double step_size){ double old_x = *((double *) xp); double new_x; new_x = gsl_rng_uniform(r)*2*step_size - step_size + old_x; memcpy(xp, &new_x, sizeof(new_x));}void P1(void *xp){ printf(" %12g ", *((double *) xp));}int main(void){ double x_min = 1.36312999455315182 ; double x ; gsl_rng * r = gsl_rng_alloc (gsl_rng_env_setup()) ; gsl_ieee_env_setup (); /* The function tested here has multiple mimima. The global minimum is at x = 1.36312999, (f = -0.87287) There is a local minimum at x = 0.60146196, (f = -0.84893) */ x = -10.0 ; gsl_siman_solve(r, &x, E1, S1, M1, NULL, NULL, NULL, NULL, sizeof(double), params); gsl_test_rel(x, x_min, 1e-3, "f(x)= exp(-(x-1)^2) sin(8x), x0=-10") ; x = +10.0 ; gsl_siman_solve(r, &x, E1, S1, M1, NULL, NULL, NULL, NULL, sizeof(double), params); gsl_test_rel(x, x_min, 1e-3, "f(x)= exp(-(x-1)^2) sin(8x), x0=10") ; /* Start at the false minimum */ x = +0.6 ; gsl_siman_solve(r, &x, E1, S1, M1, NULL, NULL, NULL, NULL, sizeof(double), params); gsl_test_rel(x, x_min, 1e-3, "f(x)= exp(-(x-1)^2) sin(8x), x0=0.6") ; x = +0.5 ; gsl_siman_solve(r, &x, E1, S1, M1, NULL, NULL, NULL, NULL, sizeof(double), params); gsl_test_rel(x, x_min, 1e-3, "f(x)= exp(-(x-1)^2) sin(8x), x0=0.5") ; x = +0.4 ; gsl_siman_solve(r, &x, E1, S1, M1, NULL, NULL, NULL, NULL, sizeof(double), params); gsl_test_rel(x, x_min, 1e-3, "f(x)= exp(-(x-1)^2) sin(8x), x0=0.4") ; gsl_rng_free(r); exit (gsl_test_summary ());#ifdef JUNK x0.D1 = 12.0; printf("#one dimensional problem, x0 = %f\n", x0.D1); gsl_siman_Usolve(r, &x0, test_E_1D, test_step_1D, distance_1D, print_pos_1D, params); x0.D2[0] = 12.0; x0.D2[1] = 5.5; printf("#two dimensional problem, (x0,y0) = (%f,%f)\n", x0.D2[0], x0.D2[1]); gsl_siman_Usolve(r, &x0, test_E_2D, test_step_2D, distance_2D, print_pos_2D, params); x0.D3[0] = 12.2; x0.D3[1] = 5.5; x0.D3[2] = -15.5; printf("#three dimensional problem, (x0,y0,z0) = (%f,%f,%f)\n", x0.D3[0], x0.D3[1], x0.D3[2]); gsl_siman_Usolve(r, &x0, test_E_3D, test_step_3D, distance_3D, print_pos_3D, params); x0.D2[0] = 12.2; x0.D2[1] = 5.5; gsl_siman_solve(r, &x0, test_E_2D, test_step_2D, distance_2D, print_pos_2D, params); x0.D3[0] = 12.2; x0.D3[1] = 5.5; x0.D3[2] = -15.5; gsl_siman_solve(r, &x0, test_E_3D, test_step_3D, distance_3D, print_pos_3D, params); return 0;#endif}
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