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📄 bessel_amp_phase.c

📁 该文件为c++的数学函数库!是一个非常有用的编程工具.它含有各种数学函数,为科学计算、工程应用等程序编写提供方便!
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/* specfunc/bessel_amp_phase.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/gsl_sf_bessel.h>#include "bessel_amp_phase.h"/* chebyshev expansions for amplitude and phase   functions used in bessel evaluations   These are the same for J0,Y0 and for J1,Y1, so   they sit outside those functions.*/        static double bm0_data[21] = {   0.09284961637381644,  -0.00142987707403484,   0.00002830579271257,  -0.00000143300611424,   0.00000012028628046,  -0.00000001397113013,   0.00000000204076188,  -0.00000000035399669,   0.00000000007024759,  -0.00000000001554107,   0.00000000000376226,  -0.00000000000098282,   0.00000000000027408,  -0.00000000000008091,   0.00000000000002511,  -0.00000000000000814,   0.00000000000000275,  -0.00000000000000096,   0.00000000000000034,  -0.00000000000000012,   0.00000000000000004}; const cheb_series _gsl_sf_bessel_amp_phase_bm0_cs = {  bm0_data,  20,  -1, 1,  10};      static double bth0_data[24] = {  -0.24639163774300119,   0.001737098307508963,  -0.000062183633402968,   0.000004368050165742,  -0.000000456093019869,   0.000000062197400101,  -0.000000010300442889,   0.000000001979526776,  -0.000000000428198396,   0.000000000102035840,  -0.000000000026363898,   0.000000000007297935,  -0.000000000002144188,   0.000000000000663693,  -0.000000000000215126,   0.000000000000072659,  -0.000000000000025465,   0.000000000000009229,  -0.000000000000003448,   0.000000000000001325,  -0.000000000000000522,   0.000000000000000210,  -0.000000000000000087,   0.000000000000000036};const cheb_series _gsl_sf_bessel_amp_phase_bth0_cs = {  bth0_data,  23,  -1, 1,  12};static double bm1_data[21] = {   0.1047362510931285,    0.00442443893702345,  -0.00005661639504035,   0.00000231349417339,  -0.00000017377182007,   0.00000001893209930,  -0.00000000265416023,   0.00000000044740209,  -0.00000000008691795,   0.00000000001891492,  -0.00000000000451884,   0.00000000000116765,  -0.00000000000032265,   0.00000000000009450,  -0.00000000000002913,   0.00000000000000939,  -0.00000000000000315,   0.00000000000000109,  -0.00000000000000039,   0.00000000000000014,  -0.00000000000000005,}; const cheb_series _gsl_sf_bessel_amp_phase_bm1_cs = {  bm1_data,  20,  -1, 1,  10};static double bth1_data[24] = {   0.74060141026313850,   -0.004571755659637690,   0.000119818510964326,  -0.000006964561891648,   0.000000655495621447,  -0.000000084066228945,   0.000000013376886564,  -0.000000002499565654,   0.000000000529495100,  -0.000000000124135944,   0.000000000031656485,  -0.000000000008668640,   0.000000000002523758,  -0.000000000000775085,   0.000000000000249527,  -0.000000000000083773,   0.000000000000029205,  -0.000000000000010534,   0.000000000000003919,  -0.000000000000001500,   0.000000000000000589,  -0.000000000000000237,   0.000000000000000097,  -0.000000000000000040,};const cheb_series _gsl_sf_bessel_amp_phase_bth1_cs = {  bth1_data,  23,  -1, 1,  12};intgsl_sf_bessel_asymp_Mnu_e(const double nu, const double x, double * result){  const double r  = 2.0*nu/x;  const double r2 = r*r;  const double x2 = x*x;  const double term1 = (r2-1.0/x2)/8.0;  const double term2 = (r2-1.0/x2)*(r2-9.0/x2)*3.0/128.0;  const double Mnu2_c = 2.0/(M_PI) * (1.0 + term1 + term2);  *result = sqrt(Mnu2_c)/sqrt(x); /* will never underflow this way */  return GSL_SUCCESS;}intgsl_sf_bessel_asymp_thetanu_corr_e(const double nu, const double x, double * result){  const double r  = 2.0*nu/x;  const double r2 = r*r;  const double x2 = x*x;  const double term1 = x*(r2 - 1.0/x2)/8.0;  const double term2 = x*(r2 - 1.0/x2)*(r2 - 25.0/x2)/384.0;  *result = (-0.25*M_PI + term1 + term2);  return GSL_SUCCESS;}

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