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diff --git a/gsl-1.9/specfunc/bessel_I0.c b/gsl-1.9/specfunc/bessel_I0.c
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+/* 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 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., 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_bessel.h>
+
+#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); )
+}