📄 bessel_ynu.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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