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📄 expint.c

📁 math library from gnu
💻 C
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/* specfunc/expint.c *  * Copyright (C) 2007 Brian Gough * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2001, 2002 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 <config.h>#include <gsl/gsl_math.h>#include <gsl/gsl_errno.h>#include <gsl/gsl_sf_expint.h>#include <gsl/gsl_sf_gamma.h>#include "error.h"#include "check.h"#include "chebyshev.h"#include "cheb_eval.c"/*-*-*-*-*-*-*-*-*-*-*-* Private Section *-*-*-*-*-*-*-*-*-*-*-*//* Chebyshev expansions: based on SLATEC e1.f, W. Fullerton  Series for AE11       on the interval -1.00000D-01 to  0.                                        with weighted error   1.76E-17                                         log weighted error  16.75                               significant figures required  15.70                                    decimal places required  17.55 Series for AE12       on the interval -2.50000D-01 to -1.00000D-01                                        with weighted error   5.83E-17                                         log weighted error  16.23                               significant figures required  15.76                                    decimal places required  16.93 Series for E11        on the interval -4.00000D+00 to -1.00000D+00                                        with weighted error   1.08E-18                                         log weighted error  17.97                               significant figures required  19.02                                    decimal places required  18.61 Series for E12        on the interval -1.00000D+00 to  1.00000D+00                                        with weighted error   3.15E-18                                         log weighted error  17.50                        approx significant figures required  15.8                                    decimal places required  18.10 Series for AE13       on the interval  2.50000D-01 to  1.00000D+00                                        with weighted error   2.34E-17                                         log weighted error  16.63                               significant figures required  16.14                                    decimal places required  17.33 Series for AE14       on the interval  0.          to  2.50000D-01                                        with weighted error   5.41E-17                                         log weighted error  16.27                               significant figures required  15.38                                    decimal places required  16.97*/static double AE11_data[39] = {   0.121503239716065790,  -0.065088778513550150,   0.004897651357459670,  -0.000649237843027216,   0.000093840434587471,   0.000000420236380882,  -0.000008113374735904,   0.000002804247688663,   0.000000056487164441,  -0.000000344809174450,   0.000000058209273578,   0.000000038711426349,  -0.000000012453235014,  -0.000000005118504888,   0.000000002148771527,   0.000000000868459898,  -0.000000000343650105,  -0.000000000179796603,   0.000000000047442060,   0.000000000040423282,  -0.000000000003543928,  -0.000000000008853444,  -0.000000000000960151,   0.000000000001692921,   0.000000000000607990,  -0.000000000000224338,  -0.000000000000200327,  -0.000000000000006246,   0.000000000000045571,   0.000000000000016383,  -0.000000000000005561,  -0.000000000000006074,  -0.000000000000000862,   0.000000000000001223,   0.000000000000000716,  -0.000000000000000024,  -0.000000000000000201,  -0.000000000000000082,   0.000000000000000017};static cheb_series AE11_cs = {  AE11_data,  38,  -1, 1,  20};static double AE12_data[25] = {   0.582417495134726740,  -0.158348850905782750,  -0.006764275590323141,   0.005125843950185725,   0.000435232492169391,  -0.000143613366305483,  -0.000041801320556301,  -0.000002713395758640,   0.000001151381913647,   0.000000420650022012,   0.000000066581901391,   0.000000000662143777,  -0.000000002844104870,  -0.000000000940724197,  -0.000000000177476602,  -0.000000000015830222,   0.000000000002905732,   0.000000000001769356,   0.000000000000492735,   0.000000000000093709,   0.000000000000010707,  -0.000000000000000537,  -0.000000000000000716,  -0.000000000000000244,  -0.000000000000000058};static cheb_series AE12_cs = {  AE12_data,  24,  -1, 1,  15};static double E11_data[19] = {  -16.11346165557149402600,    7.79407277874268027690,   -1.95540581886314195070,    0.37337293866277945612,   -0.05692503191092901938,    0.00721107776966009185,   -0.00078104901449841593,    0.00007388093356262168,   -0.00000620286187580820,    0.00000046816002303176,   -0.00000003209288853329,    0.00000000201519974874,   -0.00000000011673686816,    0.00000000000627627066,   -0.00000000000031481541,    0.00000000000001479904,   -0.00000000000000065457,    0.00000000000000002733,   -0.00000000000000000108};static cheb_series E11_cs = {  E11_data,  18,  -1, 1,  13};static double E12_data[16] = {  -0.03739021479220279500,   0.04272398606220957700,  -0.13031820798497005440,   0.01441912402469889073,  -0.00134617078051068022,   0.00010731029253063780,  -0.00000742999951611943,   0.00000045377325690753,  -0.00000002476417211390,   0.00000000122076581374,  -0.00000000005485141480,   0.00000000000226362142,  -0.00000000000008635897,   0.00000000000000306291,  -0.00000000000000010148,   0.00000000000000000315};static cheb_series E12_cs = {  E12_data,  15,  -1, 1,  10};static double AE13_data[25] = {  -0.605773246640603460,  -0.112535243483660900,   0.013432266247902779,  -0.001926845187381145,   0.000309118337720603,  -0.000053564132129618,   0.000009827812880247,  -0.000001885368984916,   0.000000374943193568,  -0.000000076823455870,   0.000000016143270567,  -0.000000003466802211,   0.000000000758754209,  -0.000000000168864333,   0.000000000038145706,  -0.000000000008733026,   0.000000000002023672,  -0.000000000000474132,   0.000000000000112211,  -0.000000000000026804,   0.000000000000006457,  -0.000000000000001568,   0.000000000000000383,  -0.000000000000000094,   0.000000000000000023};static cheb_series AE13_cs = {  AE13_data,  24,  -1, 1,  15};static double AE14_data[26] = {  -0.18929180007530170,  -0.08648117855259871,   0.00722410154374659,  -0.00080975594575573,   0.00010999134432661,  -0.00001717332998937,   0.00000298562751447,  -0.00000056596491457,   0.00000011526808397,  -0.00000002495030440,   0.00000000569232420,  -0.00000000135995766,   0.00000000033846628,  -0.00000000008737853,   0.00000000002331588,  -0.00000000000641148,   0.00000000000181224,  -0.00000000000052538,   0.00000000000015592,  -0.00000000000004729,   0.00000000000001463,  -0.00000000000000461,   0.00000000000000148,  -0.00000000000000048,   0.00000000000000016,  -0.00000000000000005};static cheb_series AE14_cs = {  AE14_data,  25,  -1, 1,  13};/* implementation for E1, allowing for scaling by exp(x) */staticint expint_E1_impl(const double x, gsl_sf_result * result, const int scale){

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