/* monte/test.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 Michael Booth * Copyright (C) 2009 Michael Booth * * 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 #include #include #include #include #include #include #include #include #include #include #define CONSTANT #define STEP #define PRODUCT #define GAUSSIAN #define DBLGAUSSIAN #define TSUDA #define PLAIN #define MISER #define VEGAS double xl[11] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }; double xu[11] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }; double xu2[11] = { 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 }; double xu3[2] = { GSL_DBL_MAX, GSL_DBL_MAX }; double fconst (double x[], size_t d, void *params); double fstep (double x[], size_t d, void *params); double f0 (double x[], size_t d, void *params); double f1 (double x[], size_t d, void *params); double f2 (double x[], size_t d, void *params); double f3 (double x[], size_t d, void *params); void my_error_handler (const char *reason, const char *file, int line, int err); struct problem { gsl_monte_function * f; double * xl; double * xu; size_t dim; size_t calls; double expected_result; double expected_error; char * description; } ; gsl_monte_function make_function (double (*f)(double *, size_t, void *), size_t d, void * p); gsl_monte_function make_function (double (*f)(double *, size_t, void *), size_t d, void * p) { gsl_monte_function f_new; f_new.f = f; f_new.dim = d; f_new.params = p; return f_new; } void add (struct problem * problems, int * n, gsl_monte_function * f, double xl[], double xu[], size_t dim, size_t calls, double result, double err, char * description); void add (struct problem * problems, int * n, gsl_monte_function * f, double xl[], double xu[], size_t dim, size_t calls, double result, double err, char * description) { int i = *n; problems[i].f = f; problems[i].xl = xl; problems[i].xu = xu; problems[i].dim = dim; problems[i].calls = calls; problems[i].expected_result = result; problems[i].expected_error = err; problems[i].description = description; (*n)++; } #define TRIALS 10 int main (void) { double result[TRIALS], error[TRIALS]; double a = 0.1; double c = (1.0 + sqrt (10.0)) / 9.0; gsl_monte_function Fc = make_function(&fconst, 0, 0); gsl_monte_function Fs = make_function(&fstep, 0, 0); gsl_monte_function F0 = make_function(&f0, 0, &a); gsl_monte_function F1 = make_function(&f1, 0, &a); gsl_monte_function F2 = make_function(&f2, 0, &a); gsl_monte_function F3 = make_function(&f3, 0, &c); /* The relationship between the variance of the function itself, the error on the integral and the number of calls is, sigma = sqrt(variance/N) where the variance is the <(f - )^2> where <.> denotes the volume average (integral over the integration region divided by the volume) */ int n = 0; struct problem * I; struct problem problems[256]; #ifdef CONSTANT /* variance(Fc) = 0 */ add(problems,&n, &Fc, xl, xu, 1, 1000, 1.0, 0.0, "constant, 1d"); add(problems,&n, &Fc, xl, xu, 2, 1000, 1.0, 0.0, "constant, 2d"); add(problems,&n, &Fc, xl, xu, 3, 1000, 1.0, 0.0, "constant, 3d"); add(problems,&n, &Fc, xl, xu, 4, 1000, 1.0, 0.0, "constant, 4d"); add(problems,&n, &Fc, xl, xu, 5, 1000, 1.0, 0.0, "constant, 5d"); add(problems,&n, &Fc, xl, xu, 6, 1000, 1.0, 0.0, "constant, 6d"); add(problems,&n, &Fc, xl, xu, 7, 1000, 1.0, 0.0, "constant, 7d"); add(problems,&n, &Fc, xl, xu, 8, 1000, 1.0, 0.0, "constant, 8d"); add(problems,&n, &Fc, xl, xu, 9, 1000, 1.0, 0.0, "constant, 9d"); add(problems,&n, &Fc, xl, xu, 10, 1000, 1.0, 0.0, "constant, 10d"); #endif #ifdef STEP /* variance(Fs) = 0.4/sqrt(1000) */ add(problems,&n, &Fs, xl, xu, 1, 100000, 0.8, 1.264e-3, "step, 1d"); add(problems,&n, &Fs, xl, xu, 2, 100000, 0.8, 1.264e-3, "step, 2d"); add(problems,&n, &Fs, xl, xu, 3, 100000, 0.8, 1.264e-3, "step, 3d"); add(problems,&n, &Fs, xl, xu, 4, 100000, 0.8, 1.264e-3, "step, 4d"); add(problems,&n, &Fs, xl, xu, 5, 100000, 0.8, 1.264e-3, "step, 5d"); add(problems,&n, &Fs, xl, xu, 6, 100000, 0.8, 1.264e-3, "step, 6d"); add(problems,&n, &Fs, xl, xu, 7, 100000, 0.8, 1.264e-3, "step, 7d"); add(problems,&n, &Fs, xl, xu, 8, 100000, 0.8, 1.264e-3, "step, 8d"); add(problems,&n, &Fs, xl, xu, 9, 100000, 0.8, 1.264e-3, "step, 9d"); add(problems,&n, &Fs, xl, xu, 10, 100000, 0.8, 1.264e-3, "step, 10d"); #endif #ifdef PRODUCT /* variance(F0) = (4/3)^d - 1 */ add(problems,&n, &F0, xl, xu, 1, 3333, 1.0, 0.01, "product, 1d" ); add(problems,&n, &F0, xl, xu, 2, 7777, 1.0, 0.01, "product, 2d" ); add(problems,&n, &F0, xl, xu, 3, 13703, 1.0, 0.01, "product, 3d" ); add(problems,&n, &F0, xl, xu, 4, 21604, 1.0, 0.01, "product, 4d" ); add(problems,&n, &F0, xl, xu, 5, 32139, 1.0, 0.01, "product, 5d" ); add(problems,&n, &F0, xl, xu, 6, 46186, 1.0, 0.01, "product, 6d" ); add(problems,&n, &F0, xl, xu, 7, 64915, 1.0, 0.01, "product, 7d" ); add(problems,&n, &F0, xl, xu, 8, 89887, 1.0, 0.01, "product, 8d" ); add(problems,&n, &F0, xl, xu, 9, 123182, 1.0, 0.01, "product, 9d" ); add(problems,&n, &F0, xl, xu, 10, 167577, 1.0, 0.01, "product, 10d" ); #endif #ifdef GAUSSIAN /* variance(F1) = (1/(a sqrt(2 pi)))^d - 1 */ add(problems,&n, &F1, xl, xu, 1, 298, 1.0, 0.1, "gaussian, 1d" ); add(problems,&n, &F1, xl, xu, 2, 1492, 1.0, 0.1, "gaussian, 2d" ); add(problems,&n, &F1, xl, xu, 3, 6249, 1.0, 0.1, "gaussian, 3d" ); add(problems,&n, &F1, xl, xu, 4, 25230, 1.0, 0.1, "gaussian, 4d" ); add(problems,&n, &F1, xl, xu, 5, 100953, 1.0, 0.1, "gaussian, 5d" ); add(problems,&n, &F1, xl, xu, 6, 44782, 1.0, 0.3, "gaussian, 6d" ); add(problems,&n, &F1, xl, xu, 7, 178690, 1.0, 0.3, "gaussian, 7d" ); add(problems,&n, &F1, xl, xu, 8, 712904, 1.0, 0.3, "gaussian, 8d" ); add(problems,&n, &F1, xl, xu, 9, 2844109, 1.0, 0.3, "gaussian, 9d" ); add(problems,&n, &F1, xl, xu, 10, 11346390, 1.0, 0.3, "gaussian, 10d" ); #endif #ifdef DBLGAUSSIAN /* variance(F2) = 0.5 * (1/(a sqrt(2 pi)))^d - 1 */ add(problems,&n, &F2, xl, xu, 1, 9947, 1.0, 0.01, "double gaussian, 1d" ); add(problems,&n, &F2, xl, xu, 2, 695, 1.0, 0.1, "double gaussian, 2d" ); add(problems,&n, &F2, xl, xu, 3, 3074, 1.0, 0.1, "double gaussian, 3d" ); add(problems,&n, &F2, xl, xu, 4, 12565, 1.0, 0.1, "double gaussian, 4d" ); add(problems,&n, &F2, xl, xu, 5, 50426, 1.0, 0.1, "double gaussian, 5d" ); add(problems,&n, &F2, xl, xu, 6, 201472, 1.0, 0.1, "double gaussian, 6d" ); add(problems,&n, &F2, xl, xu, 7, 804056, 1.0, 0.1, "double gaussian, 7d" ); add(problems,&n, &F2, xl, xu, 8, 356446, 1.0, 0.3, "double gaussian, 8d" ); add(problems,&n, &F2, xl, xu, 9, 1422049, 1.0, 0.3, "double gaussian, 9d" ); add(problems,&n, &F2, xl, xu, 10, 5673189, 1.0, 0.3, "double gaussian, 10d" ); #endif #ifdef TSUDA /* variance(F3) = ((c^2 + c + 1/3)/(c(c+1)))^d - 1 */ add(problems,&n, &F3, xl, xu, 1, 4928, 1.0, 0.01, "tsuda function, 1d" ); add(problems,&n, &F3, xl, xu, 2, 12285, 1.0, 0.01, "tsuda function, 2d" ); add(problems,&n, &F3, xl, xu, 3, 23268, 1.0, 0.01, "tsuda function, 3d" ); add(problems,&n, &F3, xl, xu, 4, 39664, 1.0, 0.01, "tsuda function, 4d" ); add(problems,&n, &F3, xl, xu, 5, 64141, 1.0, 0.01, "tsuda function, 5d" ); add(problems,&n, &F3, xl, xu, 6, 100680, 1.0, 0.01, "tsuda function, 6d" ); add(problems,&n, &F3, xl, xu, 7, 155227, 1.0, 0.01, "tsuda function, 7d" ); add(problems,&n, &F3, xl, xu, 8, 236657, 1.0, 0.01, "tsuda function, 8d" ); add(problems,&n, &F3, xl, xu, 9, 358219, 1.0, 0.01, "tsuda function, 9d" ); add(problems,&n, &F3, xl, xu, 10, 539690, 1.0, 0.01, "tsuda function, 10d" ); #endif add(problems,&n, 0, 0, 0, 0, 0, 0, 0, 0 ); /* gsl_set_error_handler (&my_error_handler); */ gsl_ieee_env_setup (); gsl_rng_env_setup (); #ifdef A printf ("testing allocation/input checks\n"); status = gsl_monte_plain_validate (s, xl, xu3, 1, 1); gsl_test (status != 0, "error if limits too large"); status = gsl_monte_plain_validate (s, xl, xu, 0, 10); gsl_test (status != 0, "error if num_dim = 0"); status = gsl_monte_plain_validate (s, xl, xu, 1, 0); gsl_test (status != 0, "error if calls = 0"); status = gsl_monte_plain_validate (s, xu, xl, 1, 10); gsl_test (status != 0, "error if xu < xl"); #endif #ifdef PLAIN #define NAME "plain" #define MONTE_STATE gsl_monte_plain_state #define MONTE_ALLOC gsl_monte_plain_alloc #define MONTE_INTEGRATE gsl_monte_plain_integrate #define MONTE_FREE gsl_monte_plain_free #define MONTE_SPEEDUP 1 #define MONTE_ERROR_TEST(err,expected) gsl_test_factor(err,expected, 5.0, NAME ", %s, abserr[%d]", I->description, i) #include "test_main.c" #undef NAME #undef MONTE_STATE #undef MONTE_ALLOC #undef MONTE_INTEGRATE #undef MONTE_FREE #undef MONTE_ERROR_TEST #undef MONTE_SPEEDUP #endif #ifdef MISER #define NAME "miser" #define MONTE_STATE gsl_monte_miser_state #define MONTE_ALLOC gsl_monte_miser_alloc #define MONTE_INTEGRATE gsl_monte_miser_integrate #define MONTE_FREE gsl_monte_miser_free #define MONTE_SPEEDUP 2 #define MONTE_ERROR_TEST(err,expected) gsl_test(err > 5.0 * expected, NAME ", %s, abserr[%d] (obs %g vs plain %g)", I->description, i, err, expected) #include "test_main.c" #undef NAME #undef MONTE_STATE #undef MONTE_ALLOC #undef MONTE_INTEGRATE #undef MONTE_FREE #undef MONTE_ERROR_TEST #undef MONTE_SPEEDUP #endif #ifdef MISER #define NAME "miser(params)" #define MONTE_STATE gsl_monte_miser_state #define MONTE_ALLOC gsl_monte_miser_alloc #define MONTE_PARAMS gsl_monte_miser_params #define MONTE_INTEGRATE(f,xl,xu,dim,calls,r,s,res,err) { gsl_monte_miser_params_get(s, ¶ms) ; params.alpha = 1.5 ; gsl_monte_miser_params_set(s, ¶ms) ; gsl_monte_miser_integrate(f,xl,xu,dim,calls,r,s,res,err); } #define MONTE_FREE gsl_monte_miser_free #define MONTE_SPEEDUP 2 #define MONTE_ERROR_TEST(err,expected) gsl_test(err > 5.0 * expected, NAME ", %s, abserr[%d] (obs %g vs plain %g)", I->description, i, err, expected) #include "test_main.c" #undef NAME #undef MONTE_STATE #undef MONTE_ALLOC #undef MONTE_PARAMS #undef MONTE_INTEGRATE #undef MONTE_FREE #undef MONTE_ERROR_TEST #undef MONTE_SPEEDUP #endif #ifdef MISER #define NAME "miser(params)" #define MONTE_STATE gsl_monte_miser_state #define MONTE_ALLOC gsl_monte_miser_alloc #define MONTE_PARAMS gsl_monte_miser_params #define MONTE_INTEGRATE(f,xl,xu,dim,calls,r,s,res,err) { gsl_monte_miser_params_get(s, ¶ms) ; params.alpha = 1.5 ; gsl_monte_miser_params_set(s, ¶ms) ; gsl_monte_miser_integrate(f,xl,xu,dim,calls,r,s,res,err); } #define MONTE_FREE gsl_monte_miser_free #define MONTE_SPEEDUP 2 #define MONTE_ERROR_TEST(err,expected) gsl_test(err > 5.0 * expected, NAME ", %s, abserr[%d] (obs %g vs plain %g)", I->description, i, err, expected) #include "test_main.c" #undef NAME #undef MONTE_STATE #undef MONTE_ALLOC #undef MONTE_PARAMS #undef MONTE_INTEGRATE #undef MONTE_FREE #undef MONTE_ERROR_TEST #undef MONTE_SPEEDUP #endif #ifdef VEGAS #define NAME "vegas" #define MONTE_STATE gsl_monte_vegas_state #define MONTE_ALLOC gsl_monte_vegas_alloc #define MONTE_INTEGRATE(f,xl,xu,dim,calls,r,s,res,err) { gsl_monte_vegas_integrate(f,xl,xu,dim,calls,r,s,res,err) ; } #define MONTE_FREE gsl_monte_vegas_free #define MONTE_SPEEDUP 3 #define MONTE_ERROR_TEST(err,expected) gsl_test(err > 3.0 * (expected == 0 ? 1.0/(I->calls/MONTE_SPEEDUP) : expected), NAME ", %s, abserr[%d] (obs %g vs exp %g)", I->description, i, err, expected) ; gsl_test(gsl_monte_vegas_chisq(s) < 0, NAME " returns valid chisq (%g)", gsl_monte_vegas_chisq(s)) #include "test_main.c" #undef NAME #undef MONTE_STATE #undef MONTE_ALLOC #undef MONTE_INTEGRATE #undef MONTE_FREE #undef MONTE_ERROR_TEST #undef MONTE_SPEEDUP #endif #ifdef VEGAS #define NAME "vegas(warm)" #define MONTE_STATE gsl_monte_vegas_state #define MONTE_ALLOC gsl_monte_vegas_alloc #define MONTE_INTEGRATE(f,xl,xu,dim,calls,r,s,res,err) { gsl_monte_vegas_integrate(f,xl,xu,dim,calls,r,s,res,err) ; gsl_monte_vegas_integrate(f,xl,xu,dim,calls,r,s,res,err); } #define MONTE_FREE gsl_monte_vegas_free #define MONTE_SPEEDUP 3 #define MONTE_ERROR_TEST(err,expected) gsl_test(err > 3.0 * (expected == 0 ? 1.0/(I->calls/MONTE_SPEEDUP) : expected), NAME ", %s, abserr[%d] (obs %g vs exp %g)", I->description, i, err, expected); gsl_test(gsl_monte_vegas_chisq(s) < 0, NAME " returns valid chisq (%g)", gsl_monte_vegas_chisq(s)) #include "test_main.c" #undef NAME #undef MONTE_STATE #undef MONTE_ALLOC #undef MONTE_INTEGRATE #undef MONTE_FREE #undef MONTE_ERROR_TEST #undef MONTE_SPEEDUP #endif #ifdef VEGAS #define NAME "vegas(params)" #define MONTE_STATE gsl_monte_vegas_state #define MONTE_ALLOC gsl_monte_vegas_alloc #define MONTE_PARAMS gsl_monte_vegas_params #define MONTE_INTEGRATE(f,xl,xu,dim,calls,r,s,res,err) { gsl_monte_vegas_params_get(s, ¶ms) ; params.alpha = 2 ; params.iterations = 3 ; gsl_monte_vegas_params_set(s, ¶ms) ; gsl_monte_vegas_integrate(f,xl,xu,dim,calls,r,s,res,err); } #define MONTE_FREE gsl_monte_vegas_free #define MONTE_SPEEDUP 3 #define MONTE_ERROR_TEST(err,expected) gsl_test(err > 3.0 * (expected == 0 ? 1.0/(I->calls/MONTE_SPEEDUP) : expected), NAME ", %s, abserr[%d] (obs %g vs exp %g)", I->description, i, err, expected); gsl_test(gsl_monte_vegas_chisq(s) < 0, NAME " returns valid chisq (%g)", gsl_monte_vegas_chisq(s)) #include "test_main.c" #undef NAME #undef MONTE_STATE #undef MONTE_ALLOC #undef MONTE_PARAMS #undef MONTE_INTEGRATE #undef MONTE_FREE #undef MONTE_ERROR_TEST #undef MONTE_SPEEDUP #endif exit (gsl_test_summary ()); } /* Simple constant function */ double fconst (double x[], size_t num_dim, void *params) { return 1; } /* Step-type (pulse) function */ double fstep (double x[], size_t num_dim, void *params) { return (x[0] > 0.1 && x[0] < 0.9) ? 1 : 0; } /* Simple product function */ double f0 (double x[], size_t num_dim, void *params) { double prod = 1.0; unsigned int i; for (i = 0; i < num_dim; ++i) { prod *= 2.0 * x[i]; } return prod; } /* Gaussian centered at 1/2. */ double f1 (double x[], size_t num_dim, void *params) { double a = *(double *)params; double sum = 0.; unsigned int i; for (i = 0; i < num_dim; i++) { double dx = x[i] - 0.5; sum += dx * dx; } return (pow (M_2_SQRTPI / (2. * a), (double) num_dim) * exp (-sum / (a * a))); } /* double gaussian */ double f2 (double x[], size_t num_dim, void *params) { double a = *(double *)params; double sum1 = 0.; double sum2 = 0.; unsigned int i; for (i = 0; i < num_dim; i++) { double dx1 = x[i] - 1. / 3.; double dx2 = x[i] - 2. / 3.; sum1 += dx1 * dx1; sum2 += dx2 * dx2; } return 0.5 * pow (M_2_SQRTPI / (2. * a), num_dim) * (exp (-sum1 / (a * a)) + exp (-sum2 / (a * a))); } /* Tsuda's example */ double f3 (double x[], size_t num_dim, void *params) { double c = *(double *)params; double prod = 1.; unsigned int i; for (i = 0; i < num_dim; i++) { prod *= c / (c + 1) * pow((c + 1) / (c + x[i]), 2.0); } return prod; } void my_error_handler (const char *reason, const char *file, int line, int err) { if (0) printf ("(caught [%s:%d: %s (%d)])\n", file, line, reason, err); }