/* specfunc/bessel_sequence.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 #define DYDX_p(p,u,x) (-(p)/(x) + (((nu)*(nu))/((x)*(x))-1.0)*(u)) #define DYDX_u(p,u,x) (p) static int rk_step(double nu, double x, double dx, double * Jp, double * J) { double p_0 = *Jp; double u_0 = *J; double p_1 = dx * DYDX_p(p_0, u_0, x); double u_1 = dx * DYDX_u(p_0, u_0, x); double p_2 = dx * DYDX_p(p_0 + 0.5*p_1, u_0 + 0.5*u_1, x + 0.5*dx); double u_2 = dx * DYDX_u(p_0 + 0.5*p_1, u_0 + 0.5*u_1, x + 0.5*dx); double p_3 = dx * DYDX_p(p_0 + 0.5*p_2, u_0 + 0.5*u_2, x + 0.5*dx); double u_3 = dx * DYDX_u(p_0 + 0.5*p_2, u_0 + 0.5*u_2, x + 0.5*dx); double p_4 = dx * DYDX_p(p_0 + p_3, u_0 + u_3, x + dx); double u_4 = dx * DYDX_u(p_0 + p_3, u_0 + u_3, x + dx); *Jp = p_0 + p_1/6.0 + p_2/3.0 + p_3/3.0 + p_4/6.0; *J = u_0 + u_1/6.0 + u_2/3.0 + u_3/3.0 + u_4/6.0; return GSL_SUCCESS; } int gsl_sf_bessel_sequence_Jnu_e(double nu, gsl_mode_t mode, size_t size, double * v) { /* CHECK_POINTER(v) */ if(nu < 0.0) { GSL_ERROR ("domain error", GSL_EDOM); } else if(size == 0) { GSL_ERROR ("error", GSL_EINVAL); } else { const gsl_prec_t goal = GSL_MODE_PREC(mode); const double dx_array[] = { 0.001, 0.03, 0.1 }; /* double, single, approx */ const double dx_nominal = dx_array[goal]; const int cnu = (int) ceil(nu); const double nu13 = pow(nu,1.0/3.0); const double smalls[] = { 0.01, 0.02, 0.4, 0.7, 1.3, 2.0, 2.5, 3.2, 3.5, 4.5, 6.0 }; const double x_small = ( nu >= 10.0 ? nu - nu13 : smalls[cnu] ); gsl_sf_result J0, J1; double Jp, J; double x; size_t i = 0; /* Calculate the first point. */ x = v[0]; gsl_sf_bessel_Jnu_e(nu, x, &J0); v[0] = J0.val; ++i; /* Step over the idiot case where the * first point was actually zero. */ if(x == 0.0) { if(v[1] <= x) { /* Strict ordering failure. */ GSL_ERROR ("error", GSL_EFAILED); } x = v[1]; gsl_sf_bessel_Jnu_e(nu, x, &J0); v[1] = J0.val; ++i; } /* Calculate directly as long as the argument * is small. This is necessary because the * integration is not very good there. */ while(v[i] < x_small && i < size) { if(v[i] <= x) { /* Strict ordering failure. */ GSL_ERROR ("error", GSL_EFAILED); } x = v[i]; gsl_sf_bessel_Jnu_e(nu, x, &J0); v[i] = J0.val; ++i; } /* At this point we are ready to integrate. * The value of x is the last calculated * point, which has the value J0; v[i] is * the next point we need to calculate. We * calculate nu+1 at x as well to get * the derivative, then we go forward. */ gsl_sf_bessel_Jnu_e(nu+1.0, x, &J1); J = J0.val; Jp = -J1.val + nu/x * J0.val; while(i < size) { const double dv = v[i] - x; const int Nd = (int) ceil(dv/dx_nominal); const double dx = dv / Nd; double xj; int j; if(v[i] <= x) { /* Strict ordering failure. */ GSL_ERROR ("error", GSL_EFAILED); } /* Integrate over interval up to next sample point. */ for(j=0, xj=x; j