/* specfunc/bessel_Yn.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 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. */ /* Author: G. Jungman */ #include #include #include #include #include #include #include "error.h" #include "bessel.h" #include "bessel_amp_phase.h" #include "bessel_olver.h" /*-*-*-*-*-*-*-*-*-*-*-* Private Section *-*-*-*-*-*-*-*-*-*-*-*/ /* assumes n >= 1 */ static int bessel_Yn_small_x(const int n, const double x, gsl_sf_result * result) { int k; double y = 0.25 * x * x; double ln_x_2 = log(0.5*x); gsl_sf_result ln_nm1_fact; double k_term; double term1, sum1, ln_pre1; double term2, sum2, pre2; gsl_sf_lnfact_e((unsigned int)(n-1), &ln_nm1_fact); ln_pre1 = -n*ln_x_2 + ln_nm1_fact.val; if(ln_pre1 > GSL_LOG_DBL_MAX - 3.0) GSL_ERROR ("error", GSL_EOVRFLW); sum1 = 1.0; k_term = 1.0; for(k=1; k<=n-1; k++) { k_term *= y/(k * (n-k)); sum1 += k_term; } term1 = -exp(ln_pre1) * sum1 / M_PI; pre2 = -exp(n*ln_x_2) / M_PI; if(fabs(pre2) > 0.0) { const int KMAX = 20; gsl_sf_result psi_n; gsl_sf_result npk_fact; double yk = 1.0; double k_fact = 1.0; double psi_kp1 = -M_EULER; double psi_npkp1; gsl_sf_psi_int_e(n, &psi_n); gsl_sf_fact_e((unsigned int)n, &npk_fact); psi_npkp1 = psi_n.val + 1.0/n; sum2 = (psi_kp1 + psi_npkp1 - 2.0*ln_x_2)/npk_fact.val; for(k=1; kval = term1 + term2; result->err = GSL_DBL_EPSILON * (fabs(ln_pre1)*fabs(term1) + fabs(term2)); result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } /*-*-*-*-*-*-*-*-*-*-*-* Functions with Error Codes *-*-*-*-*-*-*-*-*-*-*-*/ int gsl_sf_bessel_Yn_e(int n, const double x, gsl_sf_result * result) { int sign = 1; if(n < 0) { /* reduce to case n >= 0 */ n = -n; if(GSL_IS_ODD(n)) sign = -1; } /* CHECK_POINTER(result) */ if(n == 0) { int status = gsl_sf_bessel_Y0_e(x, result); result->val *= sign; return status; } else if(n == 1) { int status = gsl_sf_bessel_Y1_e(x, result); result->val *= sign; return status; } else { if(x <= 0.0) { DOMAIN_ERROR(result); } if(x < 5.0) { int status = bessel_Yn_small_x(n, x, result); result->val *= sign; return status; } else if(GSL_ROOT3_DBL_EPSILON * x > (n*n + 1.0)) { int status = gsl_sf_bessel_Ynu_asympx_e((double)n, x, result); result->val *= sign; return status; } else if(n > 50) { int status = gsl_sf_bessel_Ynu_asymp_Olver_e((double)n, x, result); result->val *= sign; return status; } else { double two_over_x = 2.0/x; gsl_sf_result r_by; gsl_sf_result r_bym; int stat_1 = gsl_sf_bessel_Y1_e(x, &r_by); int stat_0 = gsl_sf_bessel_Y0_e(x, &r_bym); double bym = r_bym.val; double by = r_by.val; double byp; int j; for(j=1; jval = sign * by; result->err = fabs(result->val) * (fabs(r_by.err/r_by.val) + fabs(r_bym.err/r_bym.val)); result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return GSL_ERROR_SELECT_2(stat_1, stat_0); } } } int gsl_sf_bessel_Yn_array(const int nmin, const int nmax, const double x, double * result_array) { /* CHECK_POINTER(result_array) */ if(nmin < 0 || nmax < nmin || x <= 0.0) { int j; for(j=0; j<=nmax-nmin; j++) result_array[j] = 0.0; GSL_ERROR ("error", GSL_EDOM); } else { gsl_sf_result r_Ynm1; gsl_sf_result r_Yn; int stat_nm1 = gsl_sf_bessel_Yn_e(nmin, x, &r_Ynm1); int stat_n = gsl_sf_bessel_Yn_e(nmin+1, x, &r_Yn); double Ynp1; double Yn = r_Yn.val; double Ynm1 = r_Ynm1.val; int n; int stat = GSL_ERROR_SELECT_2(stat_nm1, stat_n); if(stat == GSL_SUCCESS) { for(n=nmin+1; n<=nmax+1; n++) { result_array[n-nmin-1] = Ynm1; Ynp1 = -Ynm1 + 2.0*n/x * Yn; Ynm1 = Yn; Yn = Ynp1; } } else { for(n=nmin; n<=nmax; n++) { result_array[n-nmin] = 0.0; } } return stat; } } /*-*-*-*-*-*-*-*-*-* Functions w/ Natural Prototypes *-*-*-*-*-*-*-*-*-*-*/ #include "eval.h" double gsl_sf_bessel_Yn(const int n, const double x) { EVAL_RESULT(gsl_sf_bessel_Yn_e(n, x, &result)); }