/* specfunc/psi.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2004, 2005, 2006 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 #include #include #include #include #include #include #include #include #include "error.h" #include "chebyshev.h" #include "cheb_eval.c" /*-*-*-*-*-*-*-*-*-*-*-* Private Section *-*-*-*-*-*-*-*-*-*-*-*/ /* Chebyshev fit for f(y) = Re(Psi(1+Iy)) + M_EULER - y^2/(1+y^2) - y^2/(2(4+y^2)) * 1 < y < 10 * ==> * y(x) = (9x + 11)/2, -1 < x < 1 * x(y) = (2y - 11)/9 * * g(x) := f(y(x)) */ static double r1py_data[] = { 1.59888328244976954803168395603, 0.67905625353213463845115658455, -0.068485802980122530009506482524, -0.005788184183095866792008831182, 0.008511258167108615980419855648, -0.004042656134699693434334556409, 0.001352328406159402601778462956, -0.000311646563930660566674525382, 0.000018507563785249135437219139, 0.000028348705427529850296492146, -0.000019487536014574535567541960, 8.0709788710834469408621587335e-06, -2.2983564321340518037060346561e-06, 3.0506629599604749843855962658e-07, 1.3042238632418364610774284846e-07, -1.2308657181048950589464690208e-07, 5.7710855710682427240667414345e-08, -1.8275559342450963966092636354e-08, 3.1020471300626589420759518930e-09, 6.8989327480593812470039430640e-10, -8.7182290258923059852334818997e-10, 4.4069147710243611798213548777e-10, -1.4727311099198535963467200277e-10, 2.7589682523262644748825844248e-11, 4.1871826756975856411554363568e-12, -6.5673460487260087541400767340e-12, 3.4487900886723214020103638000e-12, -1.1807251417448690607973794078e-12, 2.3798314343969589258709315574e-13, 2.1663630410818831824259465821e-15 }; static cheb_series r1py_cs = { r1py_data, 29, -1,1, 18 }; /* Chebyshev fits from SLATEC code for psi(x) Series for PSI on the interval 0. to 1.00000D+00 with weighted error 2.03E-17 log weighted error 16.69 significant figures required 16.39 decimal places required 17.37 Series for APSI on the interval 0. to 2.50000D-01 with weighted error 5.54E-17 log weighted error 16.26 significant figures required 14.42 decimal places required 16.86 */ static double psics_data[23] = { -.038057080835217922, .491415393029387130, -.056815747821244730, .008357821225914313, -.001333232857994342, .000220313287069308, -.000037040238178456, .000006283793654854, -.000001071263908506, .000000183128394654, -.000000031353509361, .000000005372808776, -.000000000921168141, .000000000157981265, -.000000000027098646, .000000000004648722, -.000000000000797527, .000000000000136827, -.000000000000023475, .000000000000004027, -.000000000000000691, .000000000000000118, -.000000000000000020 }; static cheb_series psi_cs = { psics_data, 22, -1, 1, 17 }; static double apsics_data[16] = { -.0204749044678185, -.0101801271534859, .0000559718725387, -.0000012917176570, .0000000572858606, -.0000000038213539, .0000000003397434, -.0000000000374838, .0000000000048990, -.0000000000007344, .0000000000001233, -.0000000000000228, .0000000000000045, -.0000000000000009, .0000000000000002, -.0000000000000000 }; static cheb_series apsi_cs = { apsics_data, 15, -1, 1, 9 }; #define PSI_TABLE_NMAX 100 static double psi_table[PSI_TABLE_NMAX+1] = { 0.0, /* Infinity */ /* psi(0) */ -M_EULER, /* psi(1) */ 0.42278433509846713939348790992, /* ... */ 0.92278433509846713939348790992, 1.25611766843180047272682124325, 1.50611766843180047272682124325, 1.70611766843180047272682124325, 1.87278433509846713939348790992, 2.01564147795560999653634505277, 2.14064147795560999653634505277, 2.25175258906672110764745616389, 2.35175258906672110764745616389, 2.44266167997581201673836525479, 2.52599501330914535007169858813, 2.60291809023222227314862166505, 2.67434666166079370172005023648, 2.74101332832746036838671690315, 2.80351332832746036838671690315, 2.86233685773922507426906984432, 2.91789241329478062982462539988, 2.97052399224214905087725697883, 3.02052399224214905087725697883, 3.06814303986119666992487602645, 3.11359758531574212447033057190, 3.15707584618530734186163491973, 3.1987425128519740085283015864, 3.2387425128519740085283015864, 3.2772040513135124700667631249, 3.3142410883505495071038001619, 3.3499553740648352213895144476, 3.3844381326855248765619282407, 3.4177714660188582098952615740, 3.4500295305349872421533260902, 3.4812795305349872421533260902, 3.5115825608380175451836291205, 3.5409943255438998981248055911, 3.5695657541153284695533770196, 3.5973435318931062473311547974, 3.6243705589201332743581818244, 3.6506863483938174848844976139, 3.6763273740348431259101386396, 3.7013273740348431259101386396, 3.7257176179372821503003825420, 3.7495271417468059598241920658, 3.7727829557002943319172153216, 3.7955102284275670591899425943, 3.8177324506497892814121648166, 3.8394715810845718901078169905, 3.8607481768292527411716467777, 3.8815815101625860745049801110, 3.9019896734278921969539597029, 3.9219896734278921969539597029, 3.9415975165651470989147440166, 3.9608282857959163296839747858, 3.9796962103242182164764276160, 3.9982147288427367349949461345, 4.0163965470245549168131279527, 4.0342536898816977739559850956, 4.0517975495308205809735289552, 4.0690389288411654085597358518, 4.0859880813835382899156680552, 4.1026547480502049565823347218, 4.1190481906731557762544658694, 4.1351772229312202923834981274, 4.1510502388042361653993711433, 4.1666752388042361653993711433, 4.1820598541888515500147557587, 4.1972113693403667015299072739, 4.2121367424746950597388624977, 4.2268426248276362362094507330, 4.2413353784508246420065521823, 4.2556210927365389277208378966, 4.2697055997787924488475984600, 4.2835944886676813377364873489, 4.2972931188046676391063503626, 4.3108066323181811526198638761, 4.3241399656515144859531972094, 4.3372978603883565912163551041, 4.3502848733753695782293421171, 4.3631053861958823987421626300, 4.3757636140439836645649474401, 4.3882636140439836645649474401, 4.4006092930563293435772931191, 4.4128044150075488557724150703, 4.4248526077786331931218126607, 4.4367573696833950978837174226, 4.4485220755657480390601880108, 4.4601499825424922251066996387, 4.4716442354160554434975042364, 4.4830078717796918071338678728, 4.4942438268358715824147667492, 4.5053549379469826935258778603, 4.5163439489359936825368668713, 4.5272135141533849868846929582, 4.5379662023254279976373811303, 4.5486045001977684231692960239, 4.5591308159872421073798223397, 4.5695474826539087740464890064, 4.5798567610044242379640147796, 4.5900608426370772991885045755, 4.6001618527380874001986055856 }; #define PSI_1_TABLE_NMAX 100 static double psi_1_table[PSI_1_TABLE_NMAX+1] = { 0.0, /* Infinity */ /* psi(1,0) */ M_PI*M_PI/6.0, /* psi(1,1) */ 0.644934066848226436472415, /* ... */ 0.394934066848226436472415, 0.2838229557371153253613041, 0.2213229557371153253613041, 0.1813229557371153253613041, 0.1535451779593375475835263, 0.1331370146940314251345467, 0.1175120146940314251345467, 0.1051663356816857461222010, 0.0951663356816857461222010, 0.0869018728717683907503002, 0.0799574284273239463058557, 0.0740402686640103368384001, 0.0689382278476838062261552, 0.0644937834032393617817108, 0.0605875334032393617817108, 0.0571273257907826143768665, 0.0540409060376961946237801, 0.0512708229352031198315363, 0.0487708229352031198315363, 0.0465032492390579951149830, 0.0444371335365786562720078, 0.0425467743683366902984728, 0.0408106632572255791873617, 0.0392106632572255791873617, 0.0377313733163971768204978, 0.0363596312039143235969038, 0.0350841209998326909438426, 0.0338950603577399442137594, 0.0327839492466288331026483, 0.0317433665203020901265817, 0.03076680402030209012658168, 0.02984853037475571730748159, 0.02898347847164153045627052, 0.02816715194102928555831133, 0.02739554700275768062003973, 0.02666508681283803124093089, 0.02597256603721476254286995, 0.02531510384129102815759710, 0.02469010384129102815759710, 0.02409521984367056414807896, 0.02352832641963428296894063, 0.02298749353699501850166102, 0.02247096461137518379091722, 0.02197713745088135663042339, 0.02150454765882086513703965, 0.02105185413233829383780923, 0.02061782635456051606003145, 0.02020133322669712580597065, 0.01980133322669712580597065, 0.01941686571420193164987683, 0.01904704322899483105816086, 0.01869104465298913508094477, 0.01834810912486842177504628, 0.01801753061247172756017024, 0.01769865306145131939690494, 0.01739086605006319997554452, 0.01709360088954001329302371, 0.01680632711763538818529605, 0.01652854933985761040751827, 0.01625980437882562975715546, 0.01599965869724394401313881, 0.01574770606433893015574400, 0.01550356543933893015574400, 0.01526687904880638577704578, 0.01503731063741979257227076, 0.01481454387422086185273411, 0.01459828089844231513993134, 0.01438824099085987447620523, 0.01418415935820681325171544, 0.01398578601958352422176106, 0.01379288478501562298719316, 0.01360523231738567365335942, 0.01342261726990576130858221, 0.01324483949212798353080444, 0.01307170929822216635628920, 0.01290304679189732236910755, 0.01273868124291638877278934, 0.01257845051066194236996928, 0.01242220051066194236996928, 0.01226978472038606978956995, 0.01212106372098095378719041, 0.01197590477193174490346273, 0.01183418141592267460867815, 0.01169577311142440471248438, 0.01156056489076458859566448, 0.01142844704164317229232189, 0.01129931481023821361463594, 0.01117306812421372175754719, 0.01104961133409026496742374, 0.01092885297157366069257770, 0.01081070552355853781923177, 0.01069508522063334415522437, 0.01058191183901270133041676, 0.01047110851491297833872701, 0.01036260157046853389428257, 0.01025632035036012704977199, /* ... */ 0.01015219706839427948625679, /* psi(1,99) */ 0.01005016666333357139524567 /* psi(1,100) */ }; /* digamma for x both positive and negative; we do both * cases here because of the way we use even/odd parts * of the function */ static int psi_x(const double x, gsl_sf_result * result) { const double y = fabs(x); if(x == 0.0 || x == -1.0 || x == -2.0) { DOMAIN_ERROR(result); } else if(y >= 2.0) { const double t = 8.0/(y*y)-1.0; gsl_sf_result result_c; cheb_eval_e(&apsi_cs, t, &result_c); if(x < 0.0) { const double s = sin(M_PI*x); const double c = cos(M_PI*x); if(fabs(s) < 2.0*GSL_SQRT_DBL_MIN) { DOMAIN_ERROR(result); } else { result->val = log(y) - 0.5/x + result_c.val - M_PI * c/s; result->err = M_PI*fabs(x)*GSL_DBL_EPSILON/(s*s); result->err += result_c.err; result->err += GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } } else { result->val = log(y) - 0.5/x + result_c.val; result->err = result_c.err; result->err += GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } } else { /* -2 < x < 2 */ gsl_sf_result result_c; if(x < -1.0) { /* x = -2 + v */ const double v = x + 2.0; const double t1 = 1.0/x; const double t2 = 1.0/(x+1.0); const double t3 = 1.0/v; cheb_eval_e(&psi_cs, 2.0*v-1.0, &result_c); result->val = -(t1 + t2 + t3) + result_c.val; result->err = GSL_DBL_EPSILON * (fabs(t1) + fabs(x/(t2*t2)) + fabs(x/(t3*t3))); result->err += result_c.err; result->err += GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } else if(x < 0.0) { /* x = -1 + v */ const double v = x + 1.0; const double t1 = 1.0/x; const double t2 = 1.0/v; cheb_eval_e(&psi_cs, 2.0*v-1.0, &result_c); result->val = -(t1 + t2) + result_c.val; result->err = GSL_DBL_EPSILON * (fabs(t1) + fabs(x/(t2*t2))); result->err += result_c.err; result->err += GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } else if(x < 1.0) { /* x = v */ const double t1 = 1.0/x; cheb_eval_e(&psi_cs, 2.0*x-1.0, &result_c); result->val = -t1 + result_c.val; result->err = GSL_DBL_EPSILON * t1; result->err += result_c.err; result->err += GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } else { /* x = 1 + v */ const double v = x - 1.0; return cheb_eval_e(&psi_cs, 2.0*v-1.0, result); } } } /* psi(z) for large |z| in the right half-plane; [Abramowitz + Stegun, 6.3.18] */ static gsl_complex psi_complex_asymp(gsl_complex z) { /* coefficients in the asymptotic expansion for large z; * let w = z^(-2) and write the expression in the form * * ln(z) - 1/(2z) - 1/12 w (1 + c1 w + c2 w + c3 w + ... ) */ static const double c1 = -0.1; static const double c2 = 1.0/21.0; static const double c3 = -0.05; gsl_complex zi = gsl_complex_inverse(z); gsl_complex w = gsl_complex_mul(zi, zi); gsl_complex cs; /* Horner method evaluation of term in parentheses */ gsl_complex sum; sum = gsl_complex_mul_real(w, c3/c2); sum = gsl_complex_add_real(sum, 1.0); sum = gsl_complex_mul_real(sum, c2/c1); sum = gsl_complex_mul(sum, w); sum = gsl_complex_add_real(sum, 1.0); sum = gsl_complex_mul_real(sum, c1); sum = gsl_complex_mul(sum, w); sum = gsl_complex_add_real(sum, 1.0); /* correction added to log(z) */ cs = gsl_complex_mul(sum, w); cs = gsl_complex_mul_real(cs, -1.0/12.0); cs = gsl_complex_add(cs, gsl_complex_mul_real(zi, -0.5)); return gsl_complex_add(gsl_complex_log(z), cs); } /* psi(z) for complex z in the right half-plane */ static int psi_complex_rhp( gsl_complex z, gsl_sf_result * result_re, gsl_sf_result * result_im ) { int n_recurse = 0; int i; gsl_complex a; if(GSL_REAL(z) == 0.0 && GSL_IMAG(z) == 0.0) { result_re->val = 0.0; result_im->val = 0.0; result_re->err = 0.0; result_im->err = 0.0; return GSL_EDOM; } /* compute the number of recurrences to apply */ if(GSL_REAL(z) < 20.0 && fabs(GSL_IMAG(z)) < 20.0) { const double sp = sqrt(20.0 + GSL_IMAG(z)); const double sn = sqrt(20.0 - GSL_IMAG(z)); const double rhs = sp*sn - GSL_REAL(z); if(rhs > 0.0) n_recurse = ceil(rhs); } /* compute asymptotic at the large value z + n_recurse */ a = psi_complex_asymp(gsl_complex_add_real(z, n_recurse)); /* descend recursively, if necessary */ for(i = n_recurse; i >= 1; --i) { gsl_complex zn = gsl_complex_add_real(z, i - 1.0); gsl_complex zn_inverse = gsl_complex_inverse(zn); a = gsl_complex_sub(a, zn_inverse); } result_re->val = GSL_REAL(a); result_im->val = GSL_IMAG(a); result_re->err = 2.0 * (1.0 + n_recurse) * GSL_DBL_EPSILON * fabs(result_re->val); result_im->err = 2.0 * (1.0 + n_recurse) * GSL_DBL_EPSILON * fabs(result_im->val); return GSL_SUCCESS; } /* generic polygamma; assumes n >= 0 and x > 0 */ static int psi_n_xg0(const int n, const double x, gsl_sf_result * result) { if(n == 0) { return gsl_sf_psi_e(x, result); } else { /* Abramowitz + Stegun 6.4.10 */ gsl_sf_result ln_nf; gsl_sf_result hzeta; int stat_hz = gsl_sf_hzeta_e(n+1.0, x, &hzeta); int stat_nf = gsl_sf_lnfact_e((unsigned int) n, &ln_nf); int stat_e = gsl_sf_exp_mult_err_e(ln_nf.val, ln_nf.err, hzeta.val, hzeta.err, result); if(GSL_IS_EVEN(n)) result->val = -result->val; return GSL_ERROR_SELECT_3(stat_e, stat_nf, stat_hz); } } /*-*-*-*-*-*-*-*-*-*-*-* Functions with Error Codes *-*-*-*-*-*-*-*-*-*-*-*/ int gsl_sf_psi_int_e(const int n, gsl_sf_result * result) { /* CHECK_POINTER(result) */ if(n <= 0) { DOMAIN_ERROR(result); } else if(n <= PSI_TABLE_NMAX) { result->val = psi_table[n]; result->err = GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } else { /* Abramowitz+Stegun 6.3.18 */ const double c2 = -1.0/12.0; const double c3 = 1.0/120.0; const double c4 = -1.0/252.0; const double c5 = 1.0/240.0; const double ni2 = (1.0/n)*(1.0/n); const double ser = ni2 * (c2 + ni2 * (c3 + ni2 * (c4 + ni2*c5))); result->val = log(n) - 0.5/n + ser; result->err = GSL_DBL_EPSILON * (fabs(log(n)) + fabs(0.5/n) + fabs(ser)); result->err += GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } } int gsl_sf_psi_e(const double x, gsl_sf_result * result) { /* CHECK_POINTER(result) */ return psi_x(x, result); } int gsl_sf_psi_1piy_e(const double y, gsl_sf_result * result) { const double ay = fabs(y); /* CHECK_POINTER(result) */ if(ay > 1000.0) { /* [Abramowitz+Stegun, 6.3.19] */ const double yi2 = 1.0/(ay*ay); const double lny = log(ay); const double sum = yi2 * (1.0/12.0 + 1.0/120.0 * yi2 + 1.0/252.0 * yi2*yi2); result->val = lny + sum; result->err = 2.0 * GSL_DBL_EPSILON * (fabs(lny) + fabs(sum)); return GSL_SUCCESS; } else if(ay > 10.0) { /* [Abramowitz+Stegun, 6.3.19] */ const double yi2 = 1.0/(ay*ay); const double lny = log(ay); const double sum = yi2 * (1.0/12.0 + yi2 * (1.0/120.0 + yi2 * (1.0/252.0 + yi2 * (1.0/240.0 + yi2 * (1.0/132.0 + 691.0/32760.0 * yi2))))); result->val = lny + sum; result->err = 2.0 * GSL_DBL_EPSILON * (fabs(lny) + fabs(sum)); return GSL_SUCCESS; } else if(ay > 1.0){ const double y2 = ay*ay; const double x = (2.0*ay - 11.0)/9.0; const double v = y2*(1.0/(1.0+y2) + 0.5/(4.0+y2)); gsl_sf_result result_c; cheb_eval_e(&r1py_cs, x, &result_c); result->val = result_c.val - M_EULER + v; result->err = result_c.err; result->err += 2.0 * GSL_DBL_EPSILON * (fabs(v) + M_EULER + fabs(result_c.val)); result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); result->err *= 5.0; /* FIXME: losing a digit somewhere... maybe at x=... ? */ return GSL_SUCCESS; } else { /* [Abramowitz+Stegun, 6.3.17] * * -M_EULER + y^2 Sum[1/n 1/(n^2 + y^2), {n,1,M}] * + Sum[1/n^3, {n,M+1,Infinity}] * - y^2 Sum[1/n^5, {n,M+1,Infinity}] * + y^4 Sum[1/n^7, {n,M+1,Infinity}] * - y^6 Sum[1/n^9, {n,M+1,Infinity}] * + O(y^8) * * We take M=50 for at least 15 digit precision. */ const int M = 50; const double y2 = y*y; const double c0 = 0.00019603999466879846570; const double c2 = 3.8426659205114376860e-08; const double c4 = 1.0041592839497643554e-11; const double c6 = 2.9516743763500191289e-15; const double p = c0 + y2 *(-c2 + y2*(c4 - y2*c6)); double sum = 0.0; double v; int n; for(n=1; n<=M; n++) { sum += 1.0/(n * (n*n + y*y)); } v = y2 * (sum + p); result->val = -M_EULER + v; result->err = GSL_DBL_EPSILON * (M_EULER + fabs(v)); result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val); return GSL_SUCCESS; } } int gsl_sf_psi_1_int_e(const int n, gsl_sf_result * result) { /* CHECK_POINTER(result) */ if(n <= 0) { DOMAIN_ERROR(result); } else if(n <= PSI_1_TABLE_NMAX) { result->val = psi_1_table[n]; result->err = GSL_DBL_EPSILON * result->val; return GSL_SUCCESS; } else { /* Abramowitz+Stegun 6.4.12 * double-precision for n > 100 */ const double c0 = -1.0/30.0; const double c1 = 1.0/42.0; const double c2 = -1.0/30.0; const double ni2 = (1.0/n)*(1.0/n); const double ser = ni2*ni2 * (c0 + ni2*(c1 + c2*ni2)); result->val = (1.0 + 0.5/n + 1.0/(6.0*n*n) + ser) / n; result->err = GSL_DBL_EPSILON * result->val; return GSL_SUCCESS; } } int gsl_sf_psi_1_e(const double x, gsl_sf_result * result) { /* CHECK_POINTER(result) */ if(x == 0.0 || x == -1.0 || x == -2.0) { DOMAIN_ERROR(result); } else if(x > 0.0) { return psi_n_xg0(1, x, result); } else if(x > -5.0) { /* Abramowitz + Stegun 6.4.6 */ int M = -floor(x); double fx = x + M; double sum = 0.0; int m; if(fx == 0.0) DOMAIN_ERROR(result); for(m = 0; m < M; ++m) sum += 1.0/((x+m)*(x+m)); { int stat_psi = psi_n_xg0(1, fx, result); result->val += sum; result->err += M * GSL_DBL_EPSILON * sum; return stat_psi; } } else { /* Abramowitz + Stegun 6.4.7 */ const double sin_px = sin(M_PI * x); const double d = M_PI*M_PI/(sin_px*sin_px); gsl_sf_result r; int stat_psi = psi_n_xg0(1, 1.0-x, &r); result->val = d - r.val; result->err = r.err + 2.0*GSL_DBL_EPSILON*d; return stat_psi; } } int gsl_sf_psi_n_e(const int n, const double x, gsl_sf_result * result) { /* CHECK_POINTER(result) */ if(n == 0) { return gsl_sf_psi_e(x, result); } else if(n == 1) { return gsl_sf_psi_1_e(x, result); } else if(n < 0 || x <= 0.0) { DOMAIN_ERROR(result); } else { gsl_sf_result ln_nf; gsl_sf_result hzeta; int stat_hz = gsl_sf_hzeta_e(n+1.0, x, &hzeta); int stat_nf = gsl_sf_lnfact_e((unsigned int) n, &ln_nf); int stat_e = gsl_sf_exp_mult_err_e(ln_nf.val, ln_nf.err, hzeta.val, hzeta.err, result); if(GSL_IS_EVEN(n)) result->val = -result->val; return GSL_ERROR_SELECT_3(stat_e, stat_nf, stat_hz); } } int gsl_sf_complex_psi_e( const double x, const double y, gsl_sf_result * result_re, gsl_sf_result * result_im ) { if(x >= 0.0) { gsl_complex z = gsl_complex_rect(x, y); return psi_complex_rhp(z, result_re, result_im); } else { /* reflection formula [Abramowitz+Stegun, 6.3.7] */ gsl_complex z = gsl_complex_rect(x, y); gsl_complex omz = gsl_complex_rect(1.0 - x, -y); gsl_complex zpi = gsl_complex_mul_real(z, M_PI); gsl_complex cotzpi = gsl_complex_cot(zpi); int ret_val = psi_complex_rhp(omz, result_re, result_im); if(GSL_IS_REAL(GSL_REAL(cotzpi)) && GSL_IS_REAL(GSL_IMAG(cotzpi))) { result_re->val -= M_PI * GSL_REAL(cotzpi); result_im->val -= M_PI * GSL_IMAG(cotzpi); return ret_val; } else { GSL_ERROR("singularity", GSL_EDOM); } } } /*-*-*-*-*-*-*-*-*-* Functions w/ Natural Prototypes *-*-*-*-*-*-*-*-*-*-*/ #include "eval.h" double gsl_sf_psi_int(const int n) { EVAL_RESULT(gsl_sf_psi_int_e(n, &result)); } double gsl_sf_psi(const double x) { EVAL_RESULT(gsl_sf_psi_e(x, &result)); } double gsl_sf_psi_1piy(const double x) { EVAL_RESULT(gsl_sf_psi_1piy_e(x, &result)); } double gsl_sf_psi_1_int(const int n) { EVAL_RESULT(gsl_sf_psi_1_int_e(n, &result)); } double gsl_sf_psi_1(const double x) { EVAL_RESULT(gsl_sf_psi_1_e(x, &result)); } double gsl_sf_psi_n(const int n, const double x) { EVAL_RESULT(gsl_sf_psi_n_e(n, x, &result)); }