/* specfunc/bessel_I0.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 "error.h" #include "chebyshev.h" #include "cheb_eval.c" /*-*-*-*-*-*-*-*-*-*-*-* Private Section *-*-*-*-*-*-*-*-*-*-*-*/ /* based on SLATEC besi0 */ /* chebyshev expansions series for bi0 on the interval 0. to 9.00000d+00 with weighted error 2.46e-18 log weighted error 17.61 significant figures required 17.90 decimal places required 18.15 series for ai0 on the interval 1.25000d-01 to 3.33333d-01 with weighted error 7.87e-17 log weighted error 16.10 significant figures required 14.69 decimal places required 16.76 series for ai02 on the interval 0. to 1.25000d-01 with weighted error 3.79e-17 log weighted error 16.42 significant figures required 14.86 decimal places required 17.09 */ static double bi0_data[12] = { -.07660547252839144951, 1.92733795399380827000, .22826445869203013390, .01304891466707290428, .00043442709008164874, .00000942265768600193, .00000014340062895106, .00000000161384906966, .00000000001396650044, .00000000000009579451, .00000000000000053339, .00000000000000000245 }; static cheb_series bi0_cs = { bi0_data, 11, -1, 1, 11 }; static double ai0_data[21] = { .07575994494023796, .00759138081082334, .00041531313389237, .00001070076463439, -.00000790117997921, -.00000078261435014, .00000027838499429, .00000000825247260, -.00000001204463945, .00000000155964859, .00000000022925563, -.00000000011916228, .00000000001757854, .00000000000112822, -.00000000000114684, .00000000000027155, -.00000000000002415, -.00000000000000608, .00000000000000314, -.00000000000000071, .00000000000000007 }; static cheb_series ai0_cs = { ai0_data, 20, -1, 1, 13 }; static double ai02_data[22] = { .05449041101410882, .00336911647825569, .00006889758346918, .00000289137052082, .00000020489185893, .00000002266668991, .00000000339623203, .00000000049406022, .00000000001188914, -.00000000003149915, -.00000000001321580, -.00000000000179419, .00000000000071801, .00000000000038529, .00000000000001539, -.00000000000004151, -.00000000000000954, .00000000000000382, .00000000000000176, -.00000000000000034, -.00000000000000027, .00000000000000003 }; static cheb_series ai02_cs = { ai02_data, 21, -1, 1, 11 }; /*-*-*-*-*-*-*-*-*-*-*-* Functions with Error Codes *-*-*-*-*-*-*-*-*-*-*-*/ int gsl_sf_bessel_I0_scaled_e(const double x, gsl_sf_result * result) { double y = fabs(x); /* CHECK_POINTER(result) */ if(y < 2.0 * GSL_SQRT_DBL_EPSILON) { result->val = 1.0 - y; result->err = 0.5*y*y; return GSL_SUCCESS; } else if(y <= 3.0) { const double ey = exp(-y); gsl_sf_result c; cheb_eval_e(&bi0_cs, y*y/4.5-1.0, &c); result->val = ey * (2.75 + c.val); result->err = GSL_DBL_EPSILON * fabs(result->val) + ey * c.err; return GSL_SUCCESS; } else if(y <= 8.0) { const double sy = sqrt(y); gsl_sf_result c; cheb_eval_e(&ai0_cs, (48.0/y-11.0)/5.0, &c); result->val = (0.375 + c.val) / sy; result->err = 2.0 * GSL_DBL_EPSILON * (0.375 + fabs(c.val)) / sy; result->err += c.err / sy; result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } else { const double sy = sqrt(y); gsl_sf_result c; cheb_eval_e(&ai02_cs, 16.0/y-1.0, &c); result->val = (0.375 + c.val) / sy; result->err = 2.0 * GSL_DBL_EPSILON * (0.375 + fabs(c.val)) / sy; result->err += c.err / sy; result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } } int gsl_sf_bessel_I0_e(const double x, gsl_sf_result * result) { double y = fabs(x); /* CHECK_POINTER(result) */ if(y < 2.0 * GSL_SQRT_DBL_EPSILON) { result->val = 1.0; result->err = 0.5*y*y; return GSL_SUCCESS; } else if(y <= 3.0) { gsl_sf_result c; cheb_eval_e(&bi0_cs, y*y/4.5-1.0, &c); result->val = 2.75 + c.val; result->err = GSL_DBL_EPSILON * (2.75 + fabs(c.val)); result->err += c.err; result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } else if(y < GSL_LOG_DBL_MAX - 1.0) { const double ey = exp(y); gsl_sf_result b_scaled; gsl_sf_bessel_I0_scaled_e(x, &b_scaled); result->val = ey * b_scaled.val; result->err = ey * b_scaled.err + y*GSL_DBL_EPSILON*fabs(result->val); result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } else { OVERFLOW_ERROR(result); } } /*-*-*-*-*-*-*-*-*-* Functions w/ Natural Prototypes *-*-*-*-*-*-*-*-*-*-*/ #include "eval.h" double gsl_sf_bessel_I0_scaled(const double x) { EVAL_RESULT(gsl_sf_bessel_I0_scaled_e(x, &result); ) } double gsl_sf_bessel_I0(const double x) { EVAL_RESULT(gsl_sf_bessel_I0_e(x, &result); ) }