/* specfunc/hyperg_2F1.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2004 Gerard Jungman * Copyright (C) 2009 Brian Gough * * 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 #include #include #include #include "error.h" #define locEPS (1000.0*GSL_DBL_EPSILON) /* Assumes c != negative integer. */ static int hyperg_2F1_series(const double a, const double b, const double c, const double x, gsl_sf_result * result ) { double sum_pos = 1.0; double sum_neg = 0.0; double del_pos = 1.0; double del_neg = 0.0; double del = 1.0; double del_prev; double k = 0.0; int i = 0; if(fabs(c) < GSL_DBL_EPSILON) { result->val = 0.0; /* FIXME: ?? */ result->err = 1.0; GSL_ERROR ("error", GSL_EDOM); } do { if(++i > 30000) { result->val = sum_pos - sum_neg; result->err = del_pos + del_neg; result->err += 2.0 * GSL_DBL_EPSILON * (sum_pos + sum_neg); result->err += 2.0 * GSL_DBL_EPSILON * (2.0*sqrt(k)+1.0) * fabs(result->val); GSL_ERROR ("error", GSL_EMAXITER); } del_prev = del; del *= (a+k)*(b+k) * x / ((c+k) * (k+1.0)); /* Gauss series */ if(del > 0.0) { del_pos = del; sum_pos += del; } else if(del == 0.0) { /* Exact termination (a or b was a negative integer). */ del_pos = 0.0; del_neg = 0.0; break; } else { del_neg = -del; sum_neg -= del; } /* * This stopping criteria is taken from the thesis * "Computation of Hypergeometic Functions" by J. Pearson, pg. 31 * (http://people.maths.ox.ac.uk/porterm/research/pearson_final.pdf) * and fixes bug #45926 */ if (fabs(del_prev / (sum_pos - sum_neg)) < GSL_DBL_EPSILON && fabs(del / (sum_pos - sum_neg)) < GSL_DBL_EPSILON) break; k += 1.0; } while(fabs((del_pos + del_neg)/(sum_pos-sum_neg)) > GSL_DBL_EPSILON); result->val = sum_pos - sum_neg; result->err = del_pos + del_neg; result->err += 2.0 * GSL_DBL_EPSILON * (sum_pos + sum_neg); result->err += 2.0 * GSL_DBL_EPSILON * (2.0*sqrt(k) + 1.0) * fabs(result->val); return GSL_SUCCESS; } /* a = aR + i aI, b = aR - i aI */ static int hyperg_2F1_conj_series(const double aR, const double aI, const double c, double x, gsl_sf_result * result) { if(c == 0.0) { result->val = 0.0; /* FIXME: should be Inf */ result->err = 0.0; GSL_ERROR ("error", GSL_EDOM); } else { double sum_pos = 1.0; double sum_neg = 0.0; double del_pos = 1.0; double del_neg = 0.0; double del = 1.0; double k = 0.0; do { del *= ((aR+k)*(aR+k) + aI*aI)/((k+1.0)*(c+k)) * x; if(del >= 0.0) { del_pos = del; sum_pos += del; } else { del_neg = -del; sum_neg -= del; } if(k > 30000) { result->val = sum_pos - sum_neg; result->err = del_pos + del_neg; result->err += 2.0 * GSL_DBL_EPSILON * (sum_pos + sum_neg); result->err += 2.0 * GSL_DBL_EPSILON * (2.0*sqrt(k)+1.0) * fabs(result->val); GSL_ERROR ("error", GSL_EMAXITER); } k += 1.0; } while(fabs((del_pos + del_neg)/(sum_pos - sum_neg)) > GSL_DBL_EPSILON); result->val = sum_pos - sum_neg; result->err = del_pos + del_neg; result->err += 2.0 * GSL_DBL_EPSILON * (sum_pos + sum_neg); result->err += 2.0 * GSL_DBL_EPSILON * (2.0*sqrt(k) + 1.0) * fabs(result->val); return GSL_SUCCESS; } } /* Luke's rational approximation. The most accesible * discussion is in [Kolbig, CPC 23, 51 (1981)]. * The convergence is supposedly guaranteed for x < 0. * You have to read Luke's books to see this and other * results. Unfortunately, the stability is not so * clear to me, although it seems very efficient when * it works. */ static int hyperg_2F1_luke(const double a, const double b, const double c, const double xin, gsl_sf_result * result) { int stat_iter; const double RECUR_BIG = 1.0e+50; const int nmax = 20000; int n = 3; const double x = -xin; const double x3 = x*x*x; const double t0 = a*b/c; const double t1 = (a+1.0)*(b+1.0)/(2.0*c); const double t2 = (a+2.0)*(b+2.0)/(2.0*(c+1.0)); double F = 1.0; double prec; double Bnm3 = 1.0; /* B0 */ double Bnm2 = 1.0 + t1 * x; /* B1 */ double Bnm1 = 1.0 + t2 * x * (1.0 + t1/3.0 * x); /* B2 */ double Anm3 = 1.0; /* A0 */ double Anm2 = Bnm2 - t0 * x; /* A1 */ double Anm1 = Bnm1 - t0*(1.0 + t2*x)*x + t0 * t1 * (c/(c+1.0)) * x*x; /* A2 */ while(1) { double npam1 = n + a - 1; double npbm1 = n + b - 1; double npcm1 = n + c - 1; double npam2 = n + a - 2; double npbm2 = n + b - 2; double npcm2 = n + c - 2; double tnm1 = 2*n - 1; double tnm3 = 2*n - 3; double tnm5 = 2*n - 5; double n2 = n*n; double F1 = (3.0*n2 + (a+b-6)*n + 2 - a*b - 2*(a+b)) / (2*tnm3*npcm1); double F2 = -(3.0*n2 - (a+b+6)*n + 2 - a*b)*npam1*npbm1/(4*tnm1*tnm3*npcm2*npcm1); double F3 = (npam2*npam1*npbm2*npbm1*(n-a-2)*(n-b-2)) / (8*tnm3*tnm3*tnm5*(n+c-3)*npcm2*npcm1); double E = -npam1*npbm1*(n-c-1) / (2*tnm3*npcm2*npcm1); double An = (1.0+F1*x)*Anm1 + (E + F2*x)*x*Anm2 + F3*x3*Anm3; double Bn = (1.0+F1*x)*Bnm1 + (E + F2*x)*x*Bnm2 + F3*x3*Bnm3; double r = An/Bn; prec = fabs((F - r)/F); F = r; if(prec < GSL_DBL_EPSILON || n > nmax) break; if(fabs(An) > RECUR_BIG || fabs(Bn) > RECUR_BIG) { An /= RECUR_BIG; Bn /= RECUR_BIG; Anm1 /= RECUR_BIG; Bnm1 /= RECUR_BIG; Anm2 /= RECUR_BIG; Bnm2 /= RECUR_BIG; Anm3 /= RECUR_BIG; Bnm3 /= RECUR_BIG; } else if(fabs(An) < 1.0/RECUR_BIG || fabs(Bn) < 1.0/RECUR_BIG) { An *= RECUR_BIG; Bn *= RECUR_BIG; Anm1 *= RECUR_BIG; Bnm1 *= RECUR_BIG; Anm2 *= RECUR_BIG; Bnm2 *= RECUR_BIG; Anm3 *= RECUR_BIG; Bnm3 *= RECUR_BIG; } n++; Bnm3 = Bnm2; Bnm2 = Bnm1; Bnm1 = Bn; Anm3 = Anm2; Anm2 = Anm1; Anm1 = An; } result->val = F; result->err = 2.0 * fabs(prec * F); result->err += 2.0 * GSL_DBL_EPSILON * (n+1.0) * fabs(F); /* FIXME: just a hack: there's a lot of shit going on here */ result->err *= 8.0 * (fabs(a) + fabs(b) + 1.0); stat_iter = (n >= nmax ? GSL_EMAXITER : GSL_SUCCESS ); return stat_iter; } /* Luke's rational approximation for the * case a = aR + i aI, b = aR - i aI. */ static int hyperg_2F1_conj_luke(const double aR, const double aI, const double c, const double xin, gsl_sf_result * result) { int stat_iter; const double RECUR_BIG = 1.0e+50; const int nmax = 10000; int n = 3; const double x = -xin; const double x3 = x*x*x; const double atimesb = aR*aR + aI*aI; const double apb = 2.0*aR; const double t0 = atimesb/c; const double t1 = (atimesb + apb + 1.0)/(2.0*c); const double t2 = (atimesb + 2.0*apb + 4.0)/(2.0*(c+1.0)); double F = 1.0; double prec; double Bnm3 = 1.0; /* B0 */ double Bnm2 = 1.0 + t1 * x; /* B1 */ double Bnm1 = 1.0 + t2 * x * (1.0 + t1/3.0 * x); /* B2 */ double Anm3 = 1.0; /* A0 */ double Anm2 = Bnm2 - t0 * x; /* A1 */ double Anm1 = Bnm1 - t0*(1.0 + t2*x)*x + t0 * t1 * (c/(c+1.0)) * x*x; /* A2 */ while(1) { double nm1 = n - 1; double nm2 = n - 2; double npam1_npbm1 = atimesb + nm1*apb + nm1*nm1; double npam2_npbm2 = atimesb + nm2*apb + nm2*nm2; double npcm1 = nm1 + c; double npcm2 = nm2 + c; double tnm1 = 2*n - 1; double tnm3 = 2*n - 3; double tnm5 = 2*n - 5; double n2 = n*n; double F1 = (3.0*n2 + (apb-6)*n + 2 - atimesb - 2*apb) / (2*tnm3*npcm1); double F2 = -(3.0*n2 - (apb+6)*n + 2 - atimesb)*npam1_npbm1/(4*tnm1*tnm3*npcm2*npcm1); double F3 = (npam2_npbm2*npam1_npbm1*(nm2*nm2 - nm2*apb + atimesb)) / (8*tnm3*tnm3*tnm5*(n+c-3)*npcm2*npcm1); double E = -npam1_npbm1*(n-c-1) / (2*tnm3*npcm2*npcm1); double An = (1.0+F1*x)*Anm1 + (E + F2*x)*x*Anm2 + F3*x3*Anm3; double Bn = (1.0+F1*x)*Bnm1 + (E + F2*x)*x*Bnm2 + F3*x3*Bnm3; double r = An/Bn; prec = fabs(F - r)/fabs(F); F = r; if(prec < GSL_DBL_EPSILON || n > nmax) break; if(fabs(An) > RECUR_BIG || fabs(Bn) > RECUR_BIG) { An /= RECUR_BIG; Bn /= RECUR_BIG; Anm1 /= RECUR_BIG; Bnm1 /= RECUR_BIG; Anm2 /= RECUR_BIG; Bnm2 /= RECUR_BIG; Anm3 /= RECUR_BIG; Bnm3 /= RECUR_BIG; } else if(fabs(An) < 1.0/RECUR_BIG || fabs(Bn) < 1.0/RECUR_BIG) { An *= RECUR_BIG; Bn *= RECUR_BIG; Anm1 *= RECUR_BIG; Bnm1 *= RECUR_BIG; Anm2 *= RECUR_BIG; Bnm2 *= RECUR_BIG; Anm3 *= RECUR_BIG; Bnm3 *= RECUR_BIG; } n++; Bnm3 = Bnm2; Bnm2 = Bnm1; Bnm1 = Bn; Anm3 = Anm2; Anm2 = Anm1; Anm1 = An; } result->val = F; result->err = 2.0 * fabs(prec * F); result->err += 2.0 * GSL_DBL_EPSILON * (n+1.0) * fabs(F); /* FIXME: see above */ result->err *= 8.0 * (fabs(aR) + fabs(aI) + 1.0); stat_iter = (n >= nmax ? GSL_EMAXITER : GSL_SUCCESS ); return stat_iter; } /* Do the reflection described in [Moshier, p. 334]. * Assumes a,b,c != neg integer. */ static int hyperg_2F1_reflect(const double a, const double b, const double c, const double x, gsl_sf_result * result) { const double d = c - a - b; const int intd = floor(d+0.5); const int d_integer = ( fabs(d - intd) < locEPS ); if(d_integer) { const double ln_omx = log(1.0 - x); const double ad = fabs(d); int stat_F2 = GSL_SUCCESS; double sgn_2; gsl_sf_result F1; gsl_sf_result F2; double d1, d2; gsl_sf_result lng_c; gsl_sf_result lng_ad2; gsl_sf_result lng_bd2; int stat_c; int stat_ad2; int stat_bd2; if(d >= 0.0) { d1 = d; d2 = 0.0; } else { d1 = 0.0; d2 = d; } stat_ad2 = gsl_sf_lngamma_e(a+d2, &lng_ad2); stat_bd2 = gsl_sf_lngamma_e(b+d2, &lng_bd2); stat_c = gsl_sf_lngamma_e(c, &lng_c); /* Evaluate F1. */ if(ad < GSL_DBL_EPSILON) { /* d = 0 */ F1.val = 0.0; F1.err = 0.0; } else { gsl_sf_result lng_ad; gsl_sf_result lng_ad1; gsl_sf_result lng_bd1; int stat_ad = gsl_sf_lngamma_e(ad, &lng_ad); int stat_ad1 = gsl_sf_lngamma_e(a+d1, &lng_ad1); int stat_bd1 = gsl_sf_lngamma_e(b+d1, &lng_bd1); if(stat_ad1 == GSL_SUCCESS && stat_bd1 == GSL_SUCCESS && stat_ad == GSL_SUCCESS) { /* Gamma functions in the denominator are ok. * Proceed with evaluation. */ int i; double sum1 = 1.0; double term = 1.0; double ln_pre1_val = lng_ad.val + lng_c.val + d2*ln_omx - lng_ad1.val - lng_bd1.val; double ln_pre1_err = lng_ad.err + lng_c.err + lng_ad1.err + lng_bd1.err + GSL_DBL_EPSILON * fabs(ln_pre1_val); int stat_e; /* Do F1 sum. */ for(i=1; ival = 0.0; result->err = 0.0; GSL_ERROR ("error", GSL_EOVRFLW); } } stat_F2 = GSL_ERROR_SELECT_2(stat_F2, stat_dall); } else { /* Gamma functions in the denominator not ok. * So the F2 term is zero. */ F2.val = 0.0; F2.err = 0.0; } /* end F2 evaluation */ sgn_2 = ( GSL_IS_ODD(intd) ? -1.0 : 1.0 ); result->val = F1.val + sgn_2 * F2.val; result->err = F1.err + F2. err; result->err += 2.0 * GSL_DBL_EPSILON * (fabs(F1.val) + fabs(F2.val)); result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return stat_F2; } else { /* d not an integer */ gsl_sf_result pre1, pre2; double sgn1, sgn2; gsl_sf_result F1, F2; int status_F1, status_F2; /* These gamma functions appear in the denominator, so we * catch their harmless domain errors and set the terms to zero. */ gsl_sf_result ln_g1ca, ln_g1cb, ln_g2a, ln_g2b; double sgn_g1ca, sgn_g1cb, sgn_g2a, sgn_g2b; int stat_1ca = gsl_sf_lngamma_sgn_e(c-a, &ln_g1ca, &sgn_g1ca); int stat_1cb = gsl_sf_lngamma_sgn_e(c-b, &ln_g1cb, &sgn_g1cb); int stat_2a = gsl_sf_lngamma_sgn_e(a, &ln_g2a, &sgn_g2a); int stat_2b = gsl_sf_lngamma_sgn_e(b, &ln_g2b, &sgn_g2b); int ok1 = (stat_1ca == GSL_SUCCESS && stat_1cb == GSL_SUCCESS); int ok2 = (stat_2a == GSL_SUCCESS && stat_2b == GSL_SUCCESS); gsl_sf_result ln_gc, ln_gd, ln_gmd; double sgn_gc, sgn_gd, sgn_gmd; gsl_sf_lngamma_sgn_e( c, &ln_gc, &sgn_gc); gsl_sf_lngamma_sgn_e( d, &ln_gd, &sgn_gd); gsl_sf_lngamma_sgn_e(-d, &ln_gmd, &sgn_gmd); sgn1 = sgn_gc * sgn_gd * sgn_g1ca * sgn_g1cb; sgn2 = sgn_gc * sgn_gmd * sgn_g2a * sgn_g2b; if(ok1 && ok2) { double ln_pre1_val = ln_gc.val + ln_gd.val - ln_g1ca.val - ln_g1cb.val; double ln_pre2_val = ln_gc.val + ln_gmd.val - ln_g2a.val - ln_g2b.val + d*log(1.0-x); double ln_pre1_err = ln_gc.err + ln_gd.err + ln_g1ca.err + ln_g1cb.err; double ln_pre2_err = ln_gc.err + ln_gmd.err + ln_g2a.err + ln_g2b.err; if(ln_pre1_val < GSL_LOG_DBL_MAX && ln_pre2_val < GSL_LOG_DBL_MAX) { gsl_sf_exp_err_e(ln_pre1_val, ln_pre1_err, &pre1); gsl_sf_exp_err_e(ln_pre2_val, ln_pre2_err, &pre2); pre1.val *= sgn1; pre2.val *= sgn2; } else { OVERFLOW_ERROR(result); } } else if(ok1 && !ok2) { double ln_pre1_val = ln_gc.val + ln_gd.val - ln_g1ca.val - ln_g1cb.val; double ln_pre1_err = ln_gc.err + ln_gd.err + ln_g1ca.err + ln_g1cb.err; if(ln_pre1_val < GSL_LOG_DBL_MAX) { gsl_sf_exp_err_e(ln_pre1_val, ln_pre1_err, &pre1); pre1.val *= sgn1; pre2.val = 0.0; pre2.err = 0.0; } else { OVERFLOW_ERROR(result); } } else if(!ok1 && ok2) { double ln_pre2_val = ln_gc.val + ln_gmd.val - ln_g2a.val - ln_g2b.val + d*log(1.0-x); double ln_pre2_err = ln_gc.err + ln_gmd.err + ln_g2a.err + ln_g2b.err; if(ln_pre2_val < GSL_LOG_DBL_MAX) { pre1.val = 0.0; pre1.err = 0.0; gsl_sf_exp_err_e(ln_pre2_val, ln_pre2_err, &pre2); pre2.val *= sgn2; } else { OVERFLOW_ERROR(result); } } else { pre1.val = 0.0; pre2.val = 0.0; UNDERFLOW_ERROR(result); } status_F1 = hyperg_2F1_series( a, b, 1.0-d, 1.0-x, &F1); status_F2 = hyperg_2F1_series(c-a, c-b, 1.0+d, 1.0-x, &F2); result->val = pre1.val*F1.val + pre2.val*F2.val; result->err = fabs(pre1.val*F1.err) + fabs(pre2.val*F2.err); result->err += fabs(pre1.err*F1.val) + fabs(pre2.err*F2.val); result->err += 2.0 * GSL_DBL_EPSILON * (fabs(pre1.val*F1.val) + fabs(pre2.val*F2.val)); result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); if (status_F1) return status_F1; if (status_F2) return status_F2; return GSL_SUCCESS; } } static int pow_omx(const double x, const double p, gsl_sf_result * result) { double ln_omx; double ln_result; if(fabs(x) < GSL_ROOT5_DBL_EPSILON) { ln_omx = -x*(1.0 + x*(1.0/2.0 + x*(1.0/3.0 + x/4.0 + x*x/5.0))); } else { ln_omx = log(1.0-x); } ln_result = p * ln_omx; return gsl_sf_exp_err_e(ln_result, GSL_DBL_EPSILON * fabs(ln_result), result); } /*-*-*-*-*-*-*-*-*-*-*-* Functions with Error Codes *-*-*-*-*-*-*-*-*-*-*-*/ int gsl_sf_hyperg_2F1_e(double a, double b, const double c, const double x, gsl_sf_result * result) { const double d = c - a - b; const double rinta = floor(a + 0.5); const double rintb = floor(b + 0.5); const double rintc = floor(c + 0.5); const int a_neg_integer = ( a < 0.0 && fabs(a - rinta) < locEPS ); const int b_neg_integer = ( b < 0.0 && fabs(b - rintb) < locEPS ); const int c_neg_integer = ( c < 0.0 && fabs(c - rintc) < locEPS ); result->val = 0.0; result->err = 0.0; /* Handle x == 1.0 RJM */ if (fabs (x - 1.0) < locEPS && (c - a - b) > 0 && c != 0 && !c_neg_integer) { gsl_sf_result lngamc, lngamcab, lngamca, lngamcb; double lngamc_sgn, lngamca_sgn, lngamcb_sgn; int status; int stat1 = gsl_sf_lngamma_sgn_e (c, &lngamc, &lngamc_sgn); int stat2 = gsl_sf_lngamma_e (c - a - b, &lngamcab); int stat3 = gsl_sf_lngamma_sgn_e (c - a, &lngamca, &lngamca_sgn); int stat4 = gsl_sf_lngamma_sgn_e (c - b, &lngamcb, &lngamcb_sgn); if (stat1 != GSL_SUCCESS || stat2 != GSL_SUCCESS || stat3 != GSL_SUCCESS || stat4 != GSL_SUCCESS) { DOMAIN_ERROR (result); } status = gsl_sf_exp_err_e (lngamc.val + lngamcab.val - lngamca.val - lngamcb.val, lngamc.err + lngamcab.err + lngamca.err + lngamcb.err, result); result->val *= lngamc_sgn / (lngamca_sgn * lngamcb_sgn); return status; } if(x < -1.0 || 1.0 <= x) { DOMAIN_ERROR(result); } if(c_neg_integer) { /* If c is a negative integer, then either a or b must be a negative integer of smaller magnitude than c to ensure cancellation of the series. */ if(! (a_neg_integer && a > c + 0.1) && ! (b_neg_integer && b > c + 0.1)) { DOMAIN_ERROR(result); } } if(fabs(c-b) < locEPS || fabs(c-a) < locEPS) { return pow_omx(x, d, result); /* (1-x)^(c-a-b) */ } if(a >= 0.0 && b >= 0.0 && c >=0.0 && x >= 0.0 && x < 0.995) { /* Series has all positive definite * terms and x is not close to 1. */ return hyperg_2F1_series(a, b, c, x, result); } if(fabs(a) < 10.0 && fabs(b) < 10.0) { /* a and b are not too large, so we attempt * variations on the series summation. */ if(a_neg_integer) { return hyperg_2F1_series(rinta, b, c, x, result); } if(b_neg_integer) { return hyperg_2F1_series(a, rintb, c, x, result); } if(x < -0.25) { return hyperg_2F1_luke(a, b, c, x, result); } else if(x < 0.5) { return hyperg_2F1_series(a, b, c, x, result); } else { if(fabs(c) > 10.0) { return hyperg_2F1_series(a, b, c, x, result); } else { return hyperg_2F1_reflect(a, b, c, x, result); } } } else { /* Either a or b or both large. * Introduce some new variables ap,bp so that bp is * the larger in magnitude. */ double ap, bp; if(fabs(a) > fabs(b)) { bp = a; ap = b; } else { bp = b; ap = a; } if(x < 0.0) { /* What the hell, maybe Luke will converge. */ return hyperg_2F1_luke(a, b, c, x, result); } if(GSL_MAX_DBL(fabs(ap),1.0)*fabs(bp)*fabs(x) < 2.0*fabs(c)) { /* If c is large enough or x is small enough, * we can attempt the series anyway. */ return hyperg_2F1_series(a, b, c, x, result); } if(fabs(bp*bp*x*x) < 0.001*fabs(bp) && fabs(ap) < 10.0) { /* The famous but nearly worthless "large b" asymptotic. */ int stat = gsl_sf_hyperg_1F1_e(ap, c, bp*x, result); result->err = 0.001 * fabs(result->val); return stat; } /* We give up. */ result->val = 0.0; result->err = 0.0; GSL_ERROR ("error", GSL_EUNIMPL); } } int gsl_sf_hyperg_2F1_conj_e(const double aR, const double aI, const double c, const double x, gsl_sf_result * result) { const double ax = fabs(x); const double rintc = floor(c + 0.5); const int c_neg_integer = ( c < 0.0 && fabs(c - rintc) < locEPS ); result->val = 0.0; result->err = 0.0; if(ax >= 1.0 || c_neg_integer || c == 0.0) { DOMAIN_ERROR(result); } if( (ax < 0.25 && fabs(aR) < 20.0 && fabs(aI) < 20.0) || (c > 0.0 && x > 0.0) ) { return hyperg_2F1_conj_series(aR, aI, c, x, result); } else if(fabs(aR) < 10.0 && fabs(aI) < 10.0) { if(x < -0.25) { return hyperg_2F1_conj_luke(aR, aI, c, x, result); } else { return hyperg_2F1_conj_series(aR, aI, c, x, result); } } else { if(x < 0.0) { /* What the hell, maybe Luke will converge. */ return hyperg_2F1_conj_luke(aR, aI, c, x, result); } /* Give up. */ result->val = 0.0; result->err = 0.0; GSL_ERROR ("error", GSL_EUNIMPL); } } int gsl_sf_hyperg_2F1_renorm_e(const double a, const double b, const double c, const double x, gsl_sf_result * result ) { const double rinta = floor(a + 0.5); const double rintb = floor(b + 0.5); const double rintc = floor(c + 0.5); const int a_neg_integer = ( a < 0.0 && fabs(a - rinta) < locEPS ); const int b_neg_integer = ( b < 0.0 && fabs(b - rintb) < locEPS ); const int c_neg_integer = ( c < 0.0 && fabs(c - rintc) < locEPS ); if(c_neg_integer) { if((a_neg_integer && a > c+0.1) || (b_neg_integer && b > c+0.1)) { /* 2F1 terminates early */ result->val = 0.0; result->err = 0.0; return GSL_SUCCESS; } else { /* 2F1 does not terminate early enough, so something survives */ /* [Abramowitz+Stegun, 15.1.2] */ gsl_sf_result g1, g2, g3, g4, g5; double s1, s2, s3, s4, s5; int stat = 0; stat += gsl_sf_lngamma_sgn_e(a-c+1, &g1, &s1); stat += gsl_sf_lngamma_sgn_e(b-c+1, &g2, &s2); stat += gsl_sf_lngamma_sgn_e(a, &g3, &s3); stat += gsl_sf_lngamma_sgn_e(b, &g4, &s4); stat += gsl_sf_lngamma_sgn_e(-c+2, &g5, &s5); if(stat != 0) { DOMAIN_ERROR(result); } else { gsl_sf_result F; int stat_F = gsl_sf_hyperg_2F1_e(a-c+1, b-c+1, -c+2, x, &F); double ln_pre_val = g1.val + g2.val - g3.val - g4.val - g5.val; double ln_pre_err = g1.err + g2.err + g3.err + g4.err + g5.err; double sg = s1 * s2 * s3 * s4 * s5; int stat_e = gsl_sf_exp_mult_err_e(ln_pre_val, ln_pre_err, sg * F.val, F.err, result); return GSL_ERROR_SELECT_2(stat_e, stat_F); } } } else { /* generic c */ gsl_sf_result F; gsl_sf_result lng; double sgn; int stat_g = gsl_sf_lngamma_sgn_e(c, &lng, &sgn); int stat_F = gsl_sf_hyperg_2F1_e(a, b, c, x, &F); int stat_e = gsl_sf_exp_mult_err_e(-lng.val, lng.err, sgn*F.val, F.err, result); return GSL_ERROR_SELECT_3(stat_e, stat_F, stat_g); } } int gsl_sf_hyperg_2F1_conj_renorm_e(const double aR, const double aI, const double c, const double x, gsl_sf_result * result ) { const double rintc = floor(c + 0.5); const double rinta = floor(aR + 0.5); const int a_neg_integer = ( aR < 0.0 && fabs(aR-rinta) < locEPS && aI == 0.0); const int c_neg_integer = ( c < 0.0 && fabs(c - rintc) < locEPS ); if(c_neg_integer) { if(a_neg_integer && aR > c+0.1) { /* 2F1 terminates early */ result->val = 0.0; result->err = 0.0; return GSL_SUCCESS; } else { /* 2F1 does not terminate early enough, so something survives */ /* [Abramowitz+Stegun, 15.1.2] */ gsl_sf_result g1, g2; gsl_sf_result g3; gsl_sf_result a1, a2; int stat = 0; stat += gsl_sf_lngamma_complex_e(aR-c+1, aI, &g1, &a1); stat += gsl_sf_lngamma_complex_e(aR, aI, &g2, &a2); stat += gsl_sf_lngamma_e(-c+2.0, &g3); if(stat != 0) { DOMAIN_ERROR(result); } else { gsl_sf_result F; int stat_F = gsl_sf_hyperg_2F1_conj_e(aR-c+1, aI, -c+2, x, &F); double ln_pre_val = 2.0*(g1.val - g2.val) - g3.val; double ln_pre_err = 2.0 * (g1.err + g2.err) + g3.err; int stat_e = gsl_sf_exp_mult_err_e(ln_pre_val, ln_pre_err, F.val, F.err, result); return GSL_ERROR_SELECT_2(stat_e, stat_F); } } } else { /* generic c */ gsl_sf_result F; gsl_sf_result lng; double sgn; int stat_g = gsl_sf_lngamma_sgn_e(c, &lng, &sgn); int stat_F = gsl_sf_hyperg_2F1_conj_e(aR, aI, c, x, &F); int stat_e = gsl_sf_exp_mult_err_e(-lng.val, lng.err, sgn*F.val, F.err, result); return GSL_ERROR_SELECT_3(stat_e, stat_F, stat_g); } } /*-*-*-*-*-*-*-*-*-* Functions w/ Natural Prototypes *-*-*-*-*-*-*-*-*-*-*/ #include "eval.h" double gsl_sf_hyperg_2F1(double a, double b, double c, double x) { EVAL_RESULT(gsl_sf_hyperg_2F1_e(a, b, c, x, &result)); } double gsl_sf_hyperg_2F1_conj(double aR, double aI, double c, double x) { EVAL_RESULT(gsl_sf_hyperg_2F1_conj_e(aR, aI, c, x, &result)); } double gsl_sf_hyperg_2F1_renorm(double a, double b, double c, double x) { EVAL_RESULT(gsl_sf_hyperg_2F1_renorm_e(a, b, c, x, &result)); } double gsl_sf_hyperg_2F1_conj_renorm(double aR, double aI, double c, double x) { EVAL_RESULT(gsl_sf_hyperg_2F1_conj_renorm_e(aR, aI, c, x, &result)); }