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📄 hyperg_0f1.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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/* specfunc/hyperg_0F1.c *  * Copyright (C) 1996, 1997, 1998, 1999, 2000 Gerard Jungman *  * 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. *//* Author:  G. Jungman */#include <config.h>#include <gsl/gsl_math.h>#include <gsl/gsl_errno.h>#include <gsl/gsl_sf_exp.h>#include <gsl/gsl_sf_gamma.h>#include <gsl/gsl_sf_bessel.h>#include <gsl/gsl_sf_hyperg.h>#include "error.h"#define locEPS  (1000.0*GSL_DBL_EPSILON)/* Evaluate bessel_I(nu, x), allowing nu < 0. * This is fine here because we do not not allow * nu to be a negative integer. * x > 0. */staticinthyperg_0F1_bessel_I(const double nu, const double x, gsl_sf_result * result){  if(x > GSL_LOG_DBL_MAX) {    OVERFLOW_ERROR(result);  }  if(nu < 0.0) {     const double anu = -nu;    const double s   = 2.0/M_PI * sin(anu*M_PI);    const double ex  = exp(x);    gsl_sf_result I;    gsl_sf_result K;    int stat_I = gsl_sf_bessel_Inu_scaled_e(anu, x, &I);    int stat_K = gsl_sf_bessel_Knu_scaled_e(anu, x, &K);    result->val  = ex * I.val + s * (K.val / ex);    result->err  = ex * I.err + fabs(s * K.err/ex);    result->err += fabs(s * (K.val/ex)) * GSL_DBL_EPSILON * anu * M_PI;    return GSL_ERROR_SELECT_2(stat_K, stat_I);  }  else {    const double ex  = exp(x);    gsl_sf_result I;    int stat_I = gsl_sf_bessel_Inu_scaled_e(nu, x, &I);    result->val = ex * I.val;    result->err = ex * I.err + GSL_DBL_EPSILON * fabs(result->val);    return stat_I;  }}/* Evaluate bessel_J(nu, x), allowing nu < 0. * This is fine here because we do not not allow * nu to be a negative integer. * x > 0. */staticinthyperg_0F1_bessel_J(const double nu, const double x, gsl_sf_result * result){  if(nu < 0.0) {     const double anu = -nu;    const double s   = sin(anu*M_PI);    const double c   = cos(anu*M_PI);    gsl_sf_result J;    gsl_sf_result Y;    int stat_J = gsl_sf_bessel_Jnu_e(anu, x, &J);    int stat_Y = gsl_sf_bessel_Ynu_e(anu, x, &Y);    result->val  = c * J.val - s * Y.val;    result->err  = fabs(c * J.err) + fabs(s * Y.err);    result->err += fabs(anu * M_PI) * GSL_DBL_EPSILON * fabs(J.val + Y.val);    return GSL_ERROR_SELECT_2(stat_Y, stat_J);  }  else {    return gsl_sf_bessel_Jnu_e(nu, x, result);  }}/*-*-*-*-*-*-*-*-*-*-*-* Functions with Error Codes *-*-*-*-*-*-*-*-*-*-*-*/intgsl_sf_hyperg_0F1_e(double c, double x, gsl_sf_result * result){  const double rintc = floor(c + 0.5);  const int c_neg_integer = (c < 0.0 && fabs(c - rintc) < locEPS);  /* CHECK_POINTER(result) */  if(c == 0.0 || c_neg_integer) {    DOMAIN_ERROR(result);  }  else if(x < 0.0) {    gsl_sf_result Jcm1;    gsl_sf_result lg_c;    double sgn;    int stat_g = gsl_sf_lngamma_sgn_e(c, &lg_c, &sgn);    int stat_J = hyperg_0F1_bessel_J(c-1.0, 2.0*sqrt(-x), &Jcm1);    if(stat_g != GSL_SUCCESS) {      result->val = 0.0;      result->err = 0.0;      return stat_g;    }    else if(Jcm1.val == 0.0) {      result->val = 0.0;      result->err = 0.0;      return stat_J;    }    else {      const double tl = log(-x)*0.5*(1.0-c);      double ln_pre_val = lg_c.val + tl;      double ln_pre_err = lg_c.err + 2.0 * GSL_DBL_EPSILON * fabs(tl);      return gsl_sf_exp_mult_err_e(ln_pre_val, ln_pre_err,                                      sgn*Jcm1.val, Jcm1.err,                                      result);    }  }  else if(x == 0.0) {    result->val = 1.0;    result->err = 1.0;    return GSL_SUCCESS;  }  else {    gsl_sf_result Icm1;    gsl_sf_result lg_c;    double sgn;    int stat_g = gsl_sf_lngamma_sgn_e(c, &lg_c, &sgn);    int stat_I = hyperg_0F1_bessel_I(c-1.0, 2.0*sqrt(x), &Icm1);    if(stat_g != GSL_SUCCESS) {      result->val = 0.0;      result->err = 0.0;      return stat_g;    }    else if(Icm1.val == 0.0) {      result->val = 0.0;      result->err = 0.0;      return stat_I;    }    else {      const double tl = log(x)*0.5*(1.0-c);      const double ln_pre_val = lg_c.val + tl;      const double ln_pre_err = lg_c.err + 2.0 * GSL_DBL_EPSILON * fabs(tl);      return gsl_sf_exp_mult_err_e(ln_pre_val, ln_pre_err,                                      sgn*Icm1.val, Icm1.err,                                      result);    }  }}/*-*-*-*-*-*-*-*-*-* Functions w/ Natural Prototypes *-*-*-*-*-*-*-*-*-*-*/#include "eval.h"double gsl_sf_hyperg_0F1(const double c, const double x){  EVAL_RESULT(gsl_sf_hyperg_0F1_e(c, x, &result));}

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