summaryrefslogtreecommitdiff
path: root/gsl-1.9/specfunc/hyperg.c
diff options
context:
space:
mode:
Diffstat (limited to 'gsl-1.9/specfunc/hyperg.c')
-rw-r--r--gsl-1.9/specfunc/hyperg.c291
1 files changed, 291 insertions, 0 deletions
diff --git a/gsl-1.9/specfunc/hyperg.c b/gsl-1.9/specfunc/hyperg.c
new file mode 100644
index 0000000..624e05e
--- /dev/null
+++ b/gsl-1.9/specfunc/hyperg.c
@@ -0,0 +1,291 @@
+/* specfunc/hyperg.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 */
+
+/* Miscellaneous implementations of use
+ * for evaluation of hypergeometric functions.
+ */
+#include <config.h>
+#include <gsl/gsl_math.h>
+#include <gsl/gsl_errno.h>
+#include <gsl/gsl_sf_exp.h>
+#include <gsl/gsl_sf_gamma.h>
+
+#include "error.h"
+#include "hyperg.h"
+
+#define SUM_LARGE (1.0e-5*GSL_DBL_MAX)
+
+
+int
+gsl_sf_hyperg_1F1_series_e(const double a, const double b, const double x,
+ gsl_sf_result * result
+ )
+{
+ double an = a;
+ double bn = b;
+ double n = 1.0;
+ double del = 1.0;
+ double abs_del = 1.0;
+ double max_abs_del = 1.0;
+ double sum_val = 1.0;
+ double sum_err = 0.0;
+
+ while(abs_del/fabs(sum_val) > 0.25*GSL_DBL_EPSILON) {
+ double u, abs_u;
+
+ if(bn == 0.0) {
+ DOMAIN_ERROR(result);
+ }
+
+ if(an == 0.0) {
+ result->val = sum_val;
+ result->err = sum_err;
+ result->err += 2.0 * GSL_DBL_EPSILON * n * fabs(sum_val);
+ return GSL_SUCCESS;
+ }
+
+ if (n > 10000.0) {
+ result->val = sum_val;
+ result->err = sum_err;
+ GSL_ERROR ("hypergeometric series failed to converge", GSL_EFAILED);
+ }
+
+ u = x * (an/(bn*n));
+ abs_u = fabs(u);
+ if(abs_u > 1.0 && max_abs_del > GSL_DBL_MAX/abs_u) {
+ result->val = sum_val;
+ result->err = fabs(sum_val);
+ GSL_ERROR ("overflow", GSL_EOVRFLW);
+ }
+ del *= u;
+ sum_val += del;
+ if(fabs(sum_val) > SUM_LARGE) {
+ result->val = sum_val;
+ result->err = fabs(sum_val);
+ GSL_ERROR ("overflow", GSL_EOVRFLW);
+ }
+
+ abs_del = fabs(del);
+ max_abs_del = GSL_MAX_DBL(abs_del, max_abs_del);
+ sum_err += 2.0*GSL_DBL_EPSILON*abs_del;
+
+ an += 1.0;
+ bn += 1.0;
+ n += 1.0;
+ }
+
+ result->val = sum_val;
+ result->err = sum_err;
+ result->err += abs_del;
+ result->err += 2.0 * GSL_DBL_EPSILON * n * fabs(sum_val);
+
+ return GSL_SUCCESS;
+}
+
+
+int
+gsl_sf_hyperg_1F1_large_b_e(const double a, const double b, const double x, gsl_sf_result * result)
+{
+ if(fabs(x/b) < 1.0) {
+ const double u = x/b;
+ const double v = 1.0/(1.0-u);
+ const double pre = pow(v,a);
+ const double uv = u*v;
+ const double uv2 = uv*uv;
+ const double t1 = a*(a+1.0)/(2.0*b)*uv2;
+ const double t2a = a*(a+1.0)/(24.0*b*b)*uv2;
+ const double t2b = 12.0 + 16.0*(a+2.0)*uv + 3.0*(a+2.0)*(a+3.0)*uv2;
+ const double t2 = t2a*t2b;
+ result->val = pre * (1.0 - t1 + t2);
+ result->err = pre * GSL_DBL_EPSILON * (1.0 + fabs(t1) + fabs(t2));
+ result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val);
+ return GSL_SUCCESS;
+ }
+ else {
+ DOMAIN_ERROR(result);
+ }
+}
+
+
+int
+gsl_sf_hyperg_U_large_b_e(const double a, const double b, const double x,
+ gsl_sf_result * result,
+ double * ln_multiplier
+ )
+{
+ double N = floor(b); /* b = N + eps */
+ double eps = b - N;
+
+ if(fabs(eps) < GSL_SQRT_DBL_EPSILON) {
+ double lnpre_val;
+ double lnpre_err;
+ gsl_sf_result M;
+ if(b > 1.0) {
+ double tmp = (1.0-b)*log(x);
+ gsl_sf_result lg_bm1;
+ gsl_sf_result lg_a;
+ gsl_sf_lngamma_e(b-1.0, &lg_bm1);
+ gsl_sf_lngamma_e(a, &lg_a);
+ lnpre_val = tmp + x + lg_bm1.val - lg_a.val;
+ lnpre_err = lg_bm1.err + lg_a.err + GSL_DBL_EPSILON * (fabs(x) + fabs(tmp));
+ gsl_sf_hyperg_1F1_large_b_e(1.0-a, 2.0-b, -x, &M);
+ }
+ else {
+ gsl_sf_result lg_1mb;
+ gsl_sf_result lg_1pamb;
+ gsl_sf_lngamma_e(1.0-b, &lg_1mb);
+ gsl_sf_lngamma_e(1.0+a-b, &lg_1pamb);
+ lnpre_val = lg_1mb.val - lg_1pamb.val;
+ lnpre_err = lg_1mb.err + lg_1pamb.err;
+ gsl_sf_hyperg_1F1_large_b_e(a, b, x, &M);
+ }
+
+ if(lnpre_val > GSL_LOG_DBL_MAX-10.0) {
+ result->val = M.val;
+ result->err = M.err;
+ *ln_multiplier = lnpre_val;
+ GSL_ERROR ("overflow", GSL_EOVRFLW);
+ }
+ else {
+ gsl_sf_result epre;
+ int stat_e = gsl_sf_exp_err_e(lnpre_val, lnpre_err, &epre);
+ result->val = epre.val * M.val;
+ result->err = epre.val * M.err + epre.err * fabs(M.val);
+ result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val);
+ *ln_multiplier = 0.0;
+ return stat_e;
+ }
+ }
+ else {
+ double omb_lnx = (1.0-b)*log(x);
+ gsl_sf_result lg_1mb; double sgn_1mb;
+ gsl_sf_result lg_1pamb; double sgn_1pamb;
+ gsl_sf_result lg_bm1; double sgn_bm1;
+ gsl_sf_result lg_a; double sgn_a;
+ gsl_sf_result M1, M2;
+ double lnpre1_val, lnpre2_val;
+ double lnpre1_err, lnpre2_err;
+ double sgpre1, sgpre2;
+ gsl_sf_hyperg_1F1_large_b_e( a, b, x, &M1);
+ gsl_sf_hyperg_1F1_large_b_e(1.0-a, 2.0-b, x, &M2);
+
+ gsl_sf_lngamma_sgn_e(1.0-b, &lg_1mb, &sgn_1mb);
+ gsl_sf_lngamma_sgn_e(1.0+a-b, &lg_1pamb, &sgn_1pamb);
+
+ gsl_sf_lngamma_sgn_e(b-1.0, &lg_bm1, &sgn_bm1);
+ gsl_sf_lngamma_sgn_e(a, &lg_a, &sgn_a);
+
+ lnpre1_val = lg_1mb.val - lg_1pamb.val;
+ lnpre1_err = lg_1mb.err + lg_1pamb.err;
+ lnpre2_val = lg_bm1.val - lg_a.val - omb_lnx - x;
+ lnpre2_err = lg_bm1.err + lg_a.err + GSL_DBL_EPSILON * (fabs(omb_lnx)+fabs(x));
+ sgpre1 = sgn_1mb * sgn_1pamb;
+ sgpre2 = sgn_bm1 * sgn_a;
+
+ if(lnpre1_val > GSL_LOG_DBL_MAX-10.0 || lnpre2_val > GSL_LOG_DBL_MAX-10.0) {
+ double max_lnpre_val = GSL_MAX(lnpre1_val,lnpre2_val);
+ double max_lnpre_err = GSL_MAX(lnpre1_err,lnpre2_err);
+ double lp1 = lnpre1_val - max_lnpre_val;
+ double lp2 = lnpre2_val - max_lnpre_val;
+ double t1 = sgpre1*exp(lp1);
+ double t2 = sgpre2*exp(lp2);
+ result->val = t1*M1.val + t2*M2.val;
+ result->err = fabs(t1)*M1.err + fabs(t2)*M2.err;
+ result->err += GSL_DBL_EPSILON * exp(max_lnpre_err) * (fabs(t1*M1.val) + fabs(t2*M2.val));
+ result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val);
+ *ln_multiplier = max_lnpre_val;
+ GSL_ERROR ("overflow", GSL_EOVRFLW);
+ }
+ else {
+ double t1 = sgpre1*exp(lnpre1_val);
+ double t2 = sgpre2*exp(lnpre2_val);
+ result->val = t1*M1.val + t2*M2.val;
+ result->err = fabs(t1) * M1.err + fabs(t2)*M2.err;
+ result->err += GSL_DBL_EPSILON * (exp(lnpre1_err)*fabs(t1*M1.val) + exp(lnpre2_err)*fabs(t2*M2.val));
+ result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val);
+ *ln_multiplier = 0.0;
+ return GSL_SUCCESS;
+ }
+ }
+}
+
+
+
+/* [Carlson, p.109] says the error in truncating this asymptotic series
+ * is less than the absolute value of the first neglected term.
+ *
+ * A termination argument is provided, so that the series will
+ * be summed at most up to n=n_trunc. If n_trunc is set negative,
+ * then the series is summed until it appears to start diverging.
+ */
+int
+gsl_sf_hyperg_2F0_series_e(const double a, const double b, const double x,
+ int n_trunc,
+ gsl_sf_result * result
+ )
+{
+ const int maxiter = 2000;
+ double an = a;
+ double bn = b;
+ double n = 1.0;
+ double sum = 1.0;
+ double del = 1.0;
+ double abs_del = 1.0;
+ double max_abs_del = 1.0;
+ double last_abs_del = 1.0;
+
+ while(abs_del/fabs(sum) > GSL_DBL_EPSILON && n < maxiter) {
+
+ double u = an * (bn/n * x);
+ double abs_u = fabs(u);
+
+ if(abs_u > 1.0 && (max_abs_del > GSL_DBL_MAX/abs_u)) {
+ result->val = sum;
+ result->err = fabs(sum);
+ GSL_ERROR ("overflow", GSL_EOVRFLW);
+ }
+
+ del *= u;
+ sum += del;
+
+ abs_del = fabs(del);
+
+ if(abs_del > last_abs_del) break; /* series is probably starting to grow */
+
+ last_abs_del = abs_del;
+ max_abs_del = GSL_MAX(abs_del, max_abs_del);
+
+ an += 1.0;
+ bn += 1.0;
+ n += 1.0;
+
+ if(an == 0.0 || bn == 0.0) break; /* series terminated */
+
+ if(n_trunc >= 0 && n >= n_trunc) break; /* reached requested timeout */
+ }
+
+ result->val = sum;
+ result->err = GSL_DBL_EPSILON * n + abs_del;
+ if(n >= maxiter)
+ GSL_ERROR ("error", GSL_EMAXITER);
+ else
+ return GSL_SUCCESS;
+}