/* mpfr_ai -- Airy function Ai Copyright 2010, 2011, 2012, 2013 Free Software Foundation, Inc. Contributed by the AriC and Caramel projects, INRIA. This file is part of the GNU MPFR Library. The GNU MPFR Library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. The GNU MPFR Library 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 Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with the GNU MPFR Library; see the file COPYING.LESSER. If not, see http://www.gnu.org/licenses/ or write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301, USA. */ #define MPFR_NEED_LONGLONG_H #include "mpfr-impl.h" /* Reminder and notations: ----------------------- Ai is the solution of: / y'' - x*y = 0 { Ai(0) = 1/ ( 9^(1/3)*Gamma(2/3) ) \ Ai'(0) = -1/ ( 3^(1/3)*Gamma(1/3) ) Series development: Ai(x) = sum (a_i*x^i) = sum (t_i) Recurrences: a_(i+3) = a_i / ((i+2)*(i+3)) t_(i+3) = t_i * x^3 / ((i+2)*(i+3)) Values: a_0 = Ai(0) ~ 0.355 a_1 = Ai'(0) ~ -0.259 */ /* Airy function Ai evaluated by the most naive algorithm */ static int mpfr_ai1 (mpfr_ptr y, mpfr_srcptr x, mpfr_rnd_t rnd) { MPFR_ZIV_DECL (loop); MPFR_SAVE_EXPO_DECL (expo); mpfr_prec_t wprec; /* working precision */ mpfr_prec_t prec; /* target precision */ mpfr_prec_t err; /* used to estimate the evaluation error */ mpfr_prec_t correct_bits; /* estimates the number of correct bits*/ unsigned long int k; unsigned long int cond; /* condition number of the series */ unsigned long int assumed_exponent; /* used as a lowerbound of |EXP(Ai(x))| */ int r; mpfr_t s; /* used to store the partial sum */ mpfr_t ti, tip1; /* used to store successive values of t_i */ mpfr_t x3; /* used to store x^3 */ mpfr_t tmp_sp, tmp2_sp; /* small precision variables */ unsigned long int x3u; /* used to store ceil(x^3) */ mpfr_t temp1, temp2; int test1, test2; /* Logging */ MPFR_LOG_FUNC ( ("x[%Pu]=%.*Rg rnd=%d", mpfr_get_prec (x), mpfr_log_prec, x, rnd), ("y[%Pu]=%.*Rg", mpfr_get_prec (y), mpfr_log_prec, y) ); /* Special cases */ if (MPFR_UNLIKELY (MPFR_IS_SINGULAR (x))) { if (MPFR_IS_NAN (x)) { MPFR_SET_NAN (y); MPFR_RET_NAN; } else if (MPFR_IS_INF (x)) return mpfr_set_ui (y, 0, rnd); } /* Save current exponents range */ MPFR_SAVE_EXPO_MARK (expo); if (MPFR_UNLIKELY (MPFR_IS_ZERO (x))) { mpfr_t y1, y2; prec = MPFR_PREC (y) + 3; mpfr_init2 (y1, prec); mpfr_init2 (y2, prec); MPFR_ZIV_INIT (loop, prec); /* ZIV loop */ for (;;) { mpfr_gamma_one_and_two_third (y1, y2, prec); /* y2 = Gamma(2/3)(1 + delta1), |delta1| <= 2^{1-prec}. */ r = mpfr_set_ui (y1, 9, MPFR_RNDN); MPFR_ASSERTD (r == 0); mpfr_cbrt (y1, y1, MPFR_RNDN); /* y1 = cbrt(9)(1 + delta2), |delta2| <= 2^{-prec}. */ mpfr_mul (y1, y1, y2, MPFR_RNDN); mpfr_ui_div (y1, 1, y1, MPFR_RNDN); if (MPFR_LIKELY (MPFR_CAN_ROUND (y1, prec - 3, MPFR_PREC (y), rnd))) break; MPFR_ZIV_NEXT (loop, prec); } r = mpfr_set (y, y1, rnd); MPFR_ZIV_FREE (loop); MPFR_SAVE_EXPO_FREE (expo); mpfr_clear (y1); mpfr_clear (y2); return mpfr_check_range (y, r, rnd); } /* FIXME: underflow for large values of |x| ? */ /* Set initial precision */ /* If we compute sum(i=0, N-1, t_i), the relative error is bounded by */ /* 2*(4N)*2^(1-wprec)*C(|x|)/Ai(x) */ /* where C(|x|) = 1 if 0<=x<=1 */ /* and C(|x|) = (1/2)*x^(-1/4)*exp(2/3 x^(3/2)) if x >= 1 */ /* A priori, we do not know N, so we estimate it to ~ prec */ /* If 0<=x<=1, we estimate Ai(x) ~ 1/8 */ /* if 1<=x, we estimate Ai(x) ~ (1/4)*x^(-1/4)*exp(-2/3 * x^(3/2)) */ /* if x<=0, ????? */ /* We begin with 11 guard bits */ prec = MPFR_PREC (y)+11; MPFR_ZIV_INIT (loop, prec); /* The working precision is heuristically chosen in order to obtain */ /* approximately prec correct bits in the sum. To sum up: the sum */ /* is stopped when the *exact* sum gives ~ prec correct bit. And */ /* when it is stopped, the accuracy of the computed sum, with respect*/ /* to the exact one should be ~prec bits. */ mpfr_init2 (tmp_sp, MPFR_SMALL_PRECISION); mpfr_init2 (tmp2_sp, MPFR_SMALL_PRECISION); mpfr_abs (tmp_sp, x, MPFR_RNDU); mpfr_pow_ui (tmp_sp, tmp_sp, 3, MPFR_RNDU); mpfr_sqrt (tmp_sp, tmp_sp, MPFR_RNDU); /* tmp_sp ~ x^3/2 */ /* 0.96179669392597567 >~ 2/3 * log2(e). See algorithms.tex */ mpfr_set_str (tmp2_sp, "0.96179669392597567", 10, MPFR_RNDU); mpfr_mul (tmp2_sp, tmp_sp, tmp2_sp, MPFR_RNDU); /* cond represents the number of lost bits in the evaluation of the sum */ if ( (MPFR_IS_ZERO (x)) || (MPFR_GET_EXP (x) <= 0) ) cond = 0; else cond = mpfr_get_ui (tmp2_sp, MPFR_RNDU) - (MPFR_GET_EXP (x)-1)/4 - 1; /* The variable assumed_exponent is used to store the maximal assumed */ /* exponent of Ai(x). More precisely, we assume that |Ai(x)| will be */ /* greater than 2^{-assumed_exponent}. */ if (MPFR_IS_ZERO (x)) assumed_exponent = 2; else { if (MPFR_IS_POS (x)) { if (MPFR_GET_EXP (x) <= 0) assumed_exponent = 3; else assumed_exponent = (2 + (MPFR_GET_EXP (x)/4 + 1) + mpfr_get_ui (tmp2_sp, MPFR_RNDU)); } /* We do not know Ai (x) yet */ /* We cover the case when EXP (Ai (x))>=-10 */ else assumed_exponent = 10; } wprec = prec + MPFR_INT_CEIL_LOG2 (prec) + 5 + cond + assumed_exponent; mpfr_init (ti); mpfr_init (tip1); mpfr_init (temp1); mpfr_init (temp2); mpfr_init (x3); mpfr_init (s); /* ZIV loop */ for (;;) { MPFR_LOG_MSG (("Working precision: %Pu\n", wprec)); mpfr_set_prec (ti, wprec); mpfr_set_prec (tip1, wprec); mpfr_set_prec (x3, wprec); mpfr_set_prec (s, wprec); mpfr_sqr (x3, x, MPFR_RNDU); mpfr_mul (x3, x3, x, (MPFR_IS_POS (x)?MPFR_RNDU:MPFR_RNDD)); /* x3=x^3 */ if (MPFR_IS_NEG (x)) MPFR_CHANGE_SIGN (x3); x3u = mpfr_get_ui (x3, MPFR_RNDU); /* x3u >= ceil(x^3) */ if (MPFR_IS_NEG (x)) MPFR_CHANGE_SIGN (x3); mpfr_gamma_one_and_two_third (temp1, temp2, wprec); mpfr_set_ui (ti, 9, MPFR_RNDN); mpfr_cbrt (ti, ti, MPFR_RNDN); mpfr_mul (ti, ti, temp2, MPFR_RNDN); mpfr_ui_div (ti, 1, ti , MPFR_RNDN); /* ti = 1/( Gamma (2/3)*9^(1/3) ) */ mpfr_set_ui (tip1, 3, MPFR_RNDN); mpfr_cbrt (tip1, tip1, MPFR_RNDN); mpfr_mul (tip1, tip1, temp1, MPFR_RNDN); mpfr_neg (tip1, tip1, MPFR_RNDN); mpfr_div (tip1, x, tip1, MPFR_RNDN); /* tip1 = -x/(Gamma (1/3)*3^(1/3)) */ mpfr_add (s, ti, tip1, MPFR_RNDN); /* Evaluation of the series */ k = 2; for (;;) { mpfr_mul (ti, ti, x3, MPFR_RNDN); mpfr_mul (tip1, tip1, x3, MPFR_RNDN); mpfr_div_ui2 (ti, ti, k, (k+1), MPFR_RNDN); mpfr_div_ui2 (tip1, tip1, (k+1), (k+2), MPFR_RNDN); k += 3; mpfr_add (s, s, ti, MPFR_RNDN); mpfr_add (s, s, tip1, MPFR_RNDN); /* FIXME: if s==0 */ test1 = MPFR_IS_ZERO (ti) || (MPFR_GET_EXP (ti) + (mpfr_exp_t)prec + 3 <= MPFR_GET_EXP (s)); test2 = MPFR_IS_ZERO (tip1) || (MPFR_GET_EXP (tip1) + (mpfr_exp_t)prec + 3 <= MPFR_GET_EXP (s)); if ( test1 && test2 && (x3u <= k*(k+1)/2) ) break; /* FIXME: if k*(k+1) overflows */ } MPFR_LOG_MSG (("Truncation rank: %lu\n", k)); err = 4 + MPFR_INT_CEIL_LOG2 (k) + cond - MPFR_GET_EXP (s); /* err is the number of bits lost due to the evaluation error */ /* wprec-(prec+1): number of bits lost due to the approximation error */ MPFR_LOG_MSG (("Roundoff error: %Pu\n", err)); MPFR_LOG_MSG (("Approxim error: %Pu\n", wprec-prec-1)); if (wprec < err+1) correct_bits=0; else { if (wprec < err+prec+1) correct_bits = wprec - err - 1; else correct_bits = prec; } if (MPFR_LIKELY (MPFR_CAN_ROUND (s, correct_bits, MPFR_PREC (y), rnd))) break; if (correct_bits == 0) { assumed_exponent *= 2; MPFR_LOG_MSG (("Not a single bit correct (assumed_exponent=%lu)\n", assumed_exponent)); wprec = prec + 5 + MPFR_INT_CEIL_LOG2 (k) + cond + assumed_exponent; } else { if (correct_bits < prec) { /* The precision was badly chosen */ MPFR_LOG_MSG (("Bad assumption on the exponent of Ai(x)", 0)); MPFR_LOG_MSG ((" (E=%ld)\n", (long) MPFR_GET_EXP (s))); wprec = prec + err + 1; } else { /* We are really in a bad case of the TMD */ MPFR_ZIV_NEXT (loop, prec); /* We update wprec */ /* We assume that K will not be multiplied by more than 4 */ wprec = prec + (MPFR_INT_CEIL_LOG2 (k)+2) + 5 + cond - MPFR_GET_EXP (s); } } } /* End of ZIV loop */ MPFR_ZIV_FREE (loop); r = mpfr_set (y, s, rnd); mpfr_clear (ti); mpfr_clear (tip1); mpfr_clear (temp1); mpfr_clear (temp2); mpfr_clear (x3); mpfr_clear (s); mpfr_clear (tmp_sp); mpfr_clear (tmp2_sp); MPFR_SAVE_EXPO_FREE (expo); return mpfr_check_range (y, r, rnd); } /* Airy function Ai evaluated by Smith algorithm */ static int mpfr_ai2 (mpfr_ptr y, mpfr_srcptr x, mpfr_rnd_t rnd) { MPFR_ZIV_DECL (loop); MPFR_SAVE_EXPO_DECL (expo); mpfr_prec_t wprec; /* working precision */ mpfr_prec_t prec; /* target precision */ mpfr_prec_t err; /* used to estimate the evaluation error */ mpfr_prec_t correctBits; /* estimates the number of correct bits*/ unsigned long int i, j, L, t; unsigned long int cond; /* condition number of the series */ unsigned long int assumed_exponent; /* used as a lowerbound of |EXP(Ai(x))| */ int r; /* returned ternary value */ mpfr_t s; /* used to store the partial sum */ mpfr_t u0, u1; mpfr_t *z; /* used to store the (x^3j) */ mpfr_t result; mpfr_t tmp_sp, tmp2_sp; /* small precision variables */ unsigned long int x3u; /* used to store ceil (x^3) */ mpfr_t temp1, temp2; int test0, test1; /* Logging */ MPFR_LOG_FUNC ( ("x[%Pu]=%.*Rg rnd=%d", mpfr_get_prec (x), mpfr_log_prec, x, rnd), ("y[%Pu]=%.*Rg", mpfr_get_prec (y), mpfr_log_prec, y)); /* Special cases */ if (MPFR_UNLIKELY (MPFR_IS_SINGULAR (x))) { if (MPFR_IS_NAN (x)) { MPFR_SET_NAN (y); MPFR_RET_NAN; } else if (MPFR_IS_INF (x)) return mpfr_set_ui (y, 0, rnd); } /* Save current exponents range */ MPFR_SAVE_EXPO_MARK (expo); /* FIXME: underflow for large values of |x| */ /* Set initial precision */ /* See the analysis for the naive evaluation */ /* We begin with 11 guard bits */ prec = MPFR_PREC (y) + 11; MPFR_ZIV_INIT (loop, prec); mpfr_init2 (tmp_sp, MPFR_SMALL_PRECISION); mpfr_init2 (tmp2_sp, MPFR_SMALL_PRECISION); mpfr_abs (tmp_sp, x, MPFR_RNDU); mpfr_pow_ui (tmp_sp, tmp_sp, 3, MPFR_RNDU); mpfr_sqrt (tmp_sp, tmp_sp, MPFR_RNDU); /* tmp_sp ~ x^3/2 */ /* 0.96179669392597567 >~ 2/3 * log2(e). See algorithms.tex */ mpfr_set_str (tmp2_sp, "0.96179669392597567", 10, MPFR_RNDU); mpfr_mul (tmp2_sp, tmp_sp, tmp2_sp, MPFR_RNDU); /* cond represents the number of lost bits in the evaluation of the sum */ if ( (MPFR_IS_ZERO (x)) || (MPFR_GET_EXP (x) <= 0) ) cond = 0; else cond = mpfr_get_ui (tmp2_sp, MPFR_RNDU) - (MPFR_GET_EXP (x) - 1)/4 - 1; /* This variable is used to store the maximal assumed exponent of */ /* Ai (x). More precisely, we assume that |Ai (x)| will be greater than */ /* 2^{-assumedExp}. */ if (MPFR_IS_ZERO (x)) assumed_exponent = 2; else { if (MPFR_IS_POS (x)) { if (MPFR_GET_EXP (x) <= 0) assumed_exponent = 3; else assumed_exponent = (2 + (MPFR_GET_EXP (x)/4 + 1) + mpfr_get_ui (tmp2_sp, MPFR_RNDU)); } /* We do not know Ai (x) yet */ /* We cover the case when EXP (Ai (x))>=-10 */ else assumed_exponent = 10; } wprec = prec + MPFR_INT_CEIL_LOG2 (prec) + 6 + cond + assumed_exponent; /* We assume that the truncation rank will be ~ prec */ L = __gmpfr_isqrt (prec); MPFR_LOG_MSG (("size of blocks L = %lu\n", L)); z = (mpfr_t *) (*__gmp_allocate_func) ( (L + 1) * sizeof (mpfr_t) ); MPFR_ASSERTN (z != NULL); for (j=0; j<=L; j++) mpfr_init (z[j]); mpfr_init (s); mpfr_init (u0); mpfr_init (u1); mpfr_init (result); mpfr_init (temp1); mpfr_init (temp2); /* ZIV loop */ for (;;) { MPFR_LOG_MSG (("working precision: %Pu\n", wprec)); for (j=0; j<=L; j++) mpfr_set_prec (z[j], wprec); mpfr_set_prec (s, wprec); mpfr_set_prec (u0, wprec); mpfr_set_prec (u1, wprec); mpfr_set_prec (result, wprec); mpfr_set_ui (u0, 1, MPFR_RNDN); mpfr_set (u1, x, MPFR_RNDN); mpfr_set_ui (z[0], 1, MPFR_RNDU); mpfr_sqr (z[1], u1, MPFR_RNDU); mpfr_mul (z[1], z[1], x, (MPFR_IS_POS (x) ? MPFR_RNDU : MPFR_RNDD) ); if (MPFR_IS_NEG (x)) MPFR_CHANGE_SIGN (z[1]); x3u = mpfr_get_ui (z[1], MPFR_RNDU); /* x3u >= ceil (x^3) */ if (MPFR_IS_NEG (x)) MPFR_CHANGE_SIGN (z[1]); for (j=2; j<=L ;j++) { if (j%2 == 0) mpfr_sqr (z[j], z[j/2], MPFR_RNDN); else mpfr_mul (z[j], z[j-1], z[1], MPFR_RNDN); } mpfr_gamma_one_and_two_third (temp1, temp2, wprec); mpfr_set_ui (u0, 9, MPFR_RNDN); mpfr_cbrt (u0, u0, MPFR_RNDN); mpfr_mul (u0, u0, temp2, MPFR_RNDN); mpfr_ui_div (u0, 1, u0 , MPFR_RNDN); /* u0 = 1/( Gamma (2/3)*9^(1/3) ) */ mpfr_set_ui (u1, 3, MPFR_RNDN); mpfr_cbrt (u1, u1, MPFR_RNDN); mpfr_mul (u1, u1, temp1, MPFR_RNDN); mpfr_neg (u1, u1, MPFR_RNDN); mpfr_div (u1, x, u1, MPFR_RNDN); /* u1 = -x/(Gamma (1/3)*3^(1/3)) */ mpfr_set_ui (result, 0, MPFR_RNDN); t = 0; /* Evaluation of the series by Smith' method */ for (i=0; ; i++) { t += 3 * L; /* k = 0 */ t -= 3; mpfr_set (s, z[L-1], MPFR_RNDN); for (j=L-2; ; j--) { t -= 3; mpfr_div_ui2 (s, s, (t+2), (t+3), MPFR_RNDN); mpfr_add (s, s, z[j], MPFR_RNDN); if (j==0) break; } mpfr_mul (s, s, u0, MPFR_RNDN); mpfr_add (result, result, s, MPFR_RNDN); mpfr_mul (u0, u0, z[L], MPFR_RNDN); for (j=0; j<=L-1; j++) { mpfr_div_ui2 (u0, u0, (t + 2), (t + 3), MPFR_RNDN); t += 3; } t++; /* k = 1 */ t -= 3; mpfr_set (s, z[L-1], MPFR_RNDN); for (j=L-2; ; j--) { t -= 3; mpfr_div_ui2 (s, s, (t + 2), (t + 3), MPFR_RNDN); mpfr_add (s, s, z[j], MPFR_RNDN); if (j==0) break; } mpfr_mul (s, s, u1, MPFR_RNDN); mpfr_add (result, result, s, MPFR_RNDN); mpfr_mul (u1, u1, z[L], MPFR_RNDN); for (j=0; j<=L-1; j++) { mpfr_div_ui2 (u1, u1, (t + 2), (t + 3), MPFR_RNDN); t += 3; } t++; /* k = 2 */ t++; /* End of the loop over k */ t -= 3; test0 = MPFR_IS_ZERO (u0) || MPFR_GET_EXP (u0) + (mpfr_exp_t)prec + 4 <= MPFR_GET_EXP (result); test1 = MPFR_IS_ZERO (u1) || MPFR_GET_EXP (u1) + (mpfr_exp_t)prec + 4 <= MPFR_GET_EXP (result); if ( test0 && test1 && (x3u <= (t + 2) * (t + 3) / 2) ) break; } MPFR_LOG_MSG (("Truncation rank: %lu\n", t)); err = (5 + MPFR_INT_CEIL_LOG2 (L+1) + MPFR_INT_CEIL_LOG2 (i+1) + cond - MPFR_GET_EXP (result)); /* err is the number of bits lost due to the evaluation error */ /* wprec-(prec+1): number of bits lost due to the approximation error */ MPFR_LOG_MSG (("Roundoff error: %Pu\n", err)); MPFR_LOG_MSG (("Approxim error: %Pu\n", wprec - prec - 1)); if (wprec < err+1) correctBits = 0; else { if (wprec < err+prec+1) correctBits = wprec - err - 1; else correctBits = prec; } if (MPFR_LIKELY (MPFR_CAN_ROUND (result, correctBits, MPFR_PREC (y), rnd))) break; for (j=0; j<=L; j++) mpfr_clear (z[j]); (*__gmp_free_func) (z, (L + 1) * sizeof (mpfr_t)); L = __gmpfr_isqrt (t); MPFR_LOG_MSG (("size of blocks L = %lu\n", L)); z = (mpfr_t *) (*__gmp_allocate_func) ( (L + 1) * sizeof (mpfr_t)); MPFR_ASSERTN (z != NULL); for (j=0; j<=L; j++) mpfr_init (z[j]); if (correctBits == 0) { assumed_exponent *= 2; MPFR_LOG_MSG (("Not a single bit correct (assumed_exponent=%lu)\n", assumed_exponent)); wprec = prec + 6 + MPFR_INT_CEIL_LOG2 (t) + cond + assumed_exponent; } else { if (correctBits < prec) { /* The precision was badly chosen */ MPFR_LOG_MSG (("Bad assumption on the exponent of Ai (x)", 0)); MPFR_LOG_MSG ((" (E=%ld)\n", (long) (MPFR_GET_EXP (result)))); wprec = prec + err + 1; } else { /* We are really in a bad case of the TMD */ MPFR_ZIV_NEXT (loop, prec); /* We update wprec */ /* We assume that t will not be multiplied by more than 4 */ wprec = (prec + (MPFR_INT_CEIL_LOG2 (t) + 2) + 6 + cond - MPFR_GET_EXP (result)); } } } /* End of ZIV loop */ MPFR_ZIV_FREE (loop); MPFR_SAVE_EXPO_FREE (expo); r = mpfr_set (y, result, rnd); mpfr_clear (tmp_sp); mpfr_clear (tmp2_sp); for (j=0; j<=L; j++) mpfr_clear (z[j]); (*__gmp_free_func) (z, (L + 1) * sizeof (mpfr_t)); mpfr_clear (s); mpfr_clear (u0); mpfr_clear (u1); mpfr_clear (result); mpfr_clear (temp1); mpfr_clear (temp2); return r; } /* We consider that the boundary between the area where the naive method should preferably be used and the area where Smith' method should preferably be used has the following form: it is a triangle defined by two lines (one for the negative values of x, and one for the positive values of x) crossing at x=0. More precisely, * If x<0 and MPFR_AI_THRESHOLD1*x + MPFR_AI_THRESHOLD2*prec > MPFR_AI_SCALE, use Smith' algorithm; * If x>0 and MPFR_AI_THRESHOLD3*x + MPFR_AI_THRESHOLD2*prec > MPFR_AI_SCALE, use Smith' algorithm; * otherwise, use the naive method. */ #define MPFR_AI_SCALE 1048576 int mpfr_ai (mpfr_ptr y, mpfr_srcptr x, mpfr_rnd_t rnd) { mpfr_t temp1, temp2; int use_ai2; MPFR_SAVE_EXPO_DECL (expo); /* The exponent range must be large enough for the computation of temp1. */ MPFR_SAVE_EXPO_MARK (expo); mpfr_init2 (temp1, MPFR_SMALL_PRECISION); mpfr_init2 (temp2, MPFR_SMALL_PRECISION); mpfr_set (temp1, x, MPFR_RNDN); mpfr_set_si (temp2, MPFR_AI_THRESHOLD2, MPFR_RNDN); mpfr_mul_ui (temp2, temp2, MPFR_PREC (y) > ULONG_MAX ? ULONG_MAX : (unsigned long) MPFR_PREC (y), MPFR_RNDN); if (MPFR_IS_NEG (x)) mpfr_mul_si (temp1, temp1, MPFR_AI_THRESHOLD1, MPFR_RNDN); else mpfr_mul_si (temp1, temp1, MPFR_AI_THRESHOLD3, MPFR_RNDN); mpfr_add (temp1, temp1, temp2, MPFR_RNDN); mpfr_clear (temp2); use_ai2 = mpfr_cmp_si (temp1, MPFR_AI_SCALE) > 0; mpfr_clear (temp1); MPFR_SAVE_EXPO_FREE (expo); /* Ignore all previous exceptions. */ return use_ai2 ? mpfr_ai2 (y, x, rnd) : mpfr_ai1 (y, x, rnd); }