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📄 test1d_resample.c

📁 该文件为c++的数学函数库!是一个非常有用的编程工具.它含有各种数学函数,为科学计算、工程应用等程序编写提供方便!
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/* histogram/test1d_resample.c *  * Copyright (C) 1996, 1997, 1998, 1999, 2000 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 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., 675 Mass Ave, Cambridge, MA 02139, USA. */#include <config.h>#include <stdlib.h>#include <math.h>#include <gsl/gsl_histogram.h>#include <gsl/gsl_test.h>#include <gsl/gsl_ieee_utils.h>#include "urand.c"voidtest1d_resample (void){  size_t i;  int status = 0;  gsl_histogram *h;  gsl_ieee_env_setup ();  h = gsl_histogram_calloc_uniform (10, 0.0, 1.0);  gsl_histogram_increment (h, 0.1);  gsl_histogram_increment (h, 0.2);  gsl_histogram_increment (h, 0.2);  gsl_histogram_increment (h, 0.3);  {    gsl_histogram_pdf *p = gsl_histogram_pdf_alloc (10);    gsl_histogram *hh = gsl_histogram_calloc_uniform (100, 0.0, 1.0);    gsl_histogram_pdf_init (p, h);    for (i = 0; i < 100000; i++)      {        double u = urand();        double x = gsl_histogram_pdf_sample (p, u);        gsl_histogram_increment (hh, x);      }    for (i = 0; i < 100; i++)      {        double y = gsl_histogram_get (hh, i) / 2500;        double x, xmax;        size_t k;        double ya;        gsl_histogram_get_range (hh, i, &x, &xmax);        gsl_histogram_find (h, x, &k);        ya = gsl_histogram_get (h, k);        if (ya == 0)          {            if (y != 0)              {                printf ("%d: %g vs %g\n", (int) i, y, ya);                status = 1;              }          }        else          {            double err = 1 / sqrt (gsl_histogram_get (hh, i));            double sigma = fabs ((y - ya) / (ya * err));            if (sigma > 3)              {                status = 1;                printf ("%g vs %g err=%g sigma=%g\n", y, ya, err, sigma);              }          }      }    gsl_histogram_pdf_free (p) ;    gsl_histogram_free (hh);    gsl_test (status, "gsl_histogram_pdf_sample within statistical errors");  }  gsl_histogram_free (h);}

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