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📄 bessel_ynu.c

📁 开放gsl矩阵运算
💻 C
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/* specfunc/bessel_Ynu.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_sf_bessel.h"#include "error.h"#include "bessel.h"#include "bessel_olver.h"#include "bessel_temme.h"/* Perform forward recurrence for Y_nu(x) and Y'_nu(x) * *        Y_{nu+1} =  nu/x Y_nu - Y'_nu *       Y'_{nu+1} = -(nu+1)/x Y_{nu+1} + Y_nu */#if 0staticintbessel_Y_recur(const double nu_min, const double x, const int kmax,               const double Y_start, const double Yp_start,	       double * Y_end, double * Yp_end){  double x_inv = 1.0/x;  double nu = nu_min;  double Y_nu  = Y_start;  double Yp_nu = Yp_start;  int k;  for(k=1; k<=kmax; k++) {    double nuox = nu*x_inv;    double Y_nu_save = Y_nu;    Y_nu  = -Yp_nu + nuox * Y_nu;    Yp_nu = Y_nu_save - (nuox+x_inv) * Y_nu;    nu += 1.0;  }  *Y_end  = Y_nu;  *Yp_end = Yp_nu;  return GSL_SUCCESS;}#endif/*-*-*-*-*-*-*-*-*-*-*-* Functions with Error Codes *-*-*-*-*-*-*-*-*-*-*-*/intgsl_sf_bessel_Ynu_e(double nu, double x, gsl_sf_result * result){  /* CHECK_POINTER(result) */  if(x <= 0.0 || nu < 0.0) {    DOMAIN_ERROR(result);  }  else if(nu > 50.0) {    return gsl_sf_bessel_Ynu_asymp_Olver_e(nu, x, result);  }  else {    /* -1/2 <= mu <= 1/2 */    int N = (int)(nu + 0.5);    double mu = nu - N;    gsl_sf_result Y_mu, Y_mup1;    int stat_mu;    double Ynm1;    double Yn;    double Ynp1;    int n;    if(x < 2.0) {      /* Determine Ymu, Ymup1 directly. This is really       * an optimization since this case could as well       * be handled by a call to gsl_sf_bessel_JY_mu_restricted(),       * as below.       */      stat_mu = gsl_sf_bessel_Y_temme(mu, x, &Y_mu, &Y_mup1);    }    else {      /* Determine Ymu, Ymup1 and Jmu, Jmup1.       */      gsl_sf_result J_mu, J_mup1;      stat_mu = gsl_sf_bessel_JY_mu_restricted(mu, x, &J_mu, &J_mup1, &Y_mu, &Y_mup1);    }    /* Forward recursion to get Ynu, Ynup1.     */    Ynm1 = Y_mu.val;    Yn   = Y_mup1.val;    for(n=1; n<=N; n++) {      Ynp1 = 2.0*(mu+n)/x * Yn - Ynm1;      Ynm1 = Yn;      Yn   = Ynp1;    }    result->val  = Ynm1; /* Y_nu */    result->err  = (N + 1.0) * fabs(Ynm1) * (fabs(Y_mu.err/Y_mu.val) + fabs(Y_mup1.err/Y_mup1.val));    result->err += 2.0 * GSL_DBL_EPSILON * fabs(Ynm1);    return stat_mu;  }}/*-*-*-*-*-*-*-*-*-* Functions w/ Natural Prototypes *-*-*-*-*-*-*-*-*-*-*/#include "eval.h"double gsl_sf_bessel_Ynu(const double nu, const double x){  EVAL_RESULT(gsl_sf_bessel_Ynu_e(nu, x, &result));}

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