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https://github.com/vale981/arb
synced 2025-03-05 09:21:38 -05:00
compute erf without cancellation problems for complex z
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3 changed files with 137 additions and 19 deletions
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@ -128,6 +128,7 @@ void acb_hypgeom_gamma_upper(acb_t res, const acb_t s, const acb_t z, int modifi
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void acb_hypgeom_expint(acb_t res, const acb_t s, const acb_t z, slong prec);
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void acb_hypgeom_expint(acb_t res, const acb_t s, const acb_t z, slong prec);
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void acb_hypgeom_erf_propagated_error(mag_t re, mag_t im, const acb_t z);
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void acb_hypgeom_erf_1f1a(acb_t res, const acb_t z, slong prec);
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void acb_hypgeom_erf_1f1a(acb_t res, const acb_t z, slong prec);
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void acb_hypgeom_erf_1f1b(acb_t res, const acb_t z, slong prec);
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void acb_hypgeom_erf_1f1b(acb_t res, const acb_t z, slong prec);
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void acb_hypgeom_erf_asymp(acb_t res, const acb_t z, slong prec, slong prec2);
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void acb_hypgeom_erf_asymp(acb_t res, const acb_t z, slong prec, slong prec2);
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@ -141,11 +141,108 @@ acb_hypgeom_erf_asymp(acb_t res, const acb_t z, slong prec, slong prec2)
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acb_clear(u);
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acb_clear(u);
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}
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}
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void
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acb_hypgeom_erf_propagated_error(mag_t re, mag_t im, const acb_t z)
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{
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mag_t x, y;
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mag_init(x);
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mag_init(y);
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/* |exp(-(x+y)^2)| = exp(y^2-x^2) */
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arb_get_mag(y, acb_imagref(z));
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mag_mul(y, y, y);
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arb_get_mag_lower(x, acb_realref(z));
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mag_mul_lower(x, x, x);
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if (mag_cmp(y, x) >= 0)
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{
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mag_sub(re, y, x);
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mag_exp(re, re);
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}
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else
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{
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mag_sub_lower(re, x, y);
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mag_expinv(re, re);
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}
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/* Radius. */
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mag_hypot(x, arb_radref(acb_realref(z)), arb_radref(acb_imagref(z)));
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mag_mul(re, re, x);
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/* 2/sqrt(pi) < 289/256 */
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mag_mul_ui(re, re, 289);
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mag_mul_2exp_si(re, re, -8);
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if (arb_is_zero(acb_imagref(z)))
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{
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/* todo: could bound magnitude even for complex numbers */
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mag_set_ui(y, 2);
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mag_min(re, re, y);
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mag_zero(im);
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}
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else if (arb_is_zero(acb_realref(z)))
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{
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mag_swap(im, re);
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mag_zero(re);
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}
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else
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{
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mag_set(im, re);
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}
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mag_clear(x);
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mag_clear(y);
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}
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void
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acb_hypgeom_erf_1f1(acb_t res, const acb_t z, slong prec,
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slong wp, int more_imaginary)
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{
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if (acb_rel_accuracy_bits(z) >= wp)
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{
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if (more_imaginary)
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acb_hypgeom_erf_1f1a(res, z, wp);
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else
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acb_hypgeom_erf_1f1b(res, z, wp);
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}
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else
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{
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acb_t zmid;
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mag_t re_err, im_err;
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acb_init(zmid);
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mag_init(re_err);
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mag_init(im_err);
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acb_hypgeom_erf_propagated_error(re_err, im_err, z);
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arf_set(arb_midref(acb_realref(zmid)), arb_midref(acb_realref(z)));
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arf_set(arb_midref(acb_imagref(zmid)), arb_midref(acb_imagref(z)));
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if (more_imaginary)
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acb_hypgeom_erf_1f1a(res, zmid, wp);
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else
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acb_hypgeom_erf_1f1b(res, zmid, wp);
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arb_add_error_mag(acb_realref(res), re_err);
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arb_add_error_mag(acb_imagref(res), im_err);
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acb_clear(zmid);
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mag_clear(re_err);
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mag_clear(im_err);
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}
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acb_set_round(res, res, prec);
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}
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void
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void
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acb_hypgeom_erf(acb_t res, const acb_t z, slong prec)
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acb_hypgeom_erf(acb_t res, const acb_t z, slong prec)
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{
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{
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double x, y, absz2, logz;
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double x, y, abs_z2, log_z, log_erf_z_asymp;
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slong prec2;
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slong prec2, wp;
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int more_imaginary;
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if (!acb_is_finite(z))
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if (!acb_is_finite(z))
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{
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{
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@ -159,10 +256,10 @@ acb_hypgeom_erf(acb_t res, const acb_t z, slong prec)
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return;
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return;
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}
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}
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if ((arf_cmpabs_2exp_si(arb_midref(acb_realref(z)), 0) < 0 &&
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if ((arf_cmpabs_2exp_si(arb_midref(acb_realref(z)), -64) < 0 &&
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arf_cmpabs_2exp_si(arb_midref(acb_imagref(z)), 0) < 0))
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arf_cmpabs_2exp_si(arb_midref(acb_imagref(z)), -64) < 0))
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{
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{
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acb_hypgeom_erf_1f1a(res, z, prec);
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acb_hypgeom_erf_1f1(res, z, prec, prec, 1);
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return;
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return;
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}
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}
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@ -176,26 +273,34 @@ acb_hypgeom_erf(acb_t res, const acb_t z, slong prec)
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x = arf_get_d(arb_midref(acb_realref(z)), ARF_RND_DOWN);
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x = arf_get_d(arb_midref(acb_realref(z)), ARF_RND_DOWN);
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y = arf_get_d(arb_midref(acb_imagref(z)), ARF_RND_DOWN);
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y = arf_get_d(arb_midref(acb_imagref(z)), ARF_RND_DOWN);
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absz2 = x * x + y * y;
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abs_z2 = x * x + y * y;
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logz = 0.5 * log(absz2);
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log_z = 0.5 * log(abs_z2);
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/* estimate of log(erf(z)), disregarding csgn term */
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log_erf_z_asymp = y*y - x*x - log_z;
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if (logz - absz2 < -(prec + 8) * 0.69314718055994530942)
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if (log_z - abs_z2 < -(prec + 8) * 0.69314718055994530942)
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{
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{
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/* If the asymptotic term is small, we can
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/* If the asymptotic term is small, we can
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compute with reduced precision */
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compute with reduced precision. */
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prec2 = FLINT_MIN(prec + 4 + (y*y - x*x - logz) * 1.4426950408889634074, (double) prec);
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prec2 = FLINT_MIN(prec + 4 + log_erf_z_asymp * 1.4426950408889634074, (double) prec);
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prec2 = FLINT_MAX(8, prec2);
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prec2 = FLINT_MAX(8, prec2);
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prec2 = FLINT_MIN(prec2, prec);
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prec2 = FLINT_MIN(prec2, prec);
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acb_hypgeom_erf_asymp(res, z, prec, prec2);
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acb_hypgeom_erf_asymp(res, z, prec, prec2);
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}
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}
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else if (arf_cmpabs(arb_midref(acb_imagref(z)), arb_midref(acb_realref(z))) > 0)
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{
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acb_hypgeom_erf_1f1a(res, z, prec);
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}
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else
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else
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{
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{
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acb_hypgeom_erf_1f1b(res, z, prec);
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more_imaginary = arf_cmpabs(arb_midref(acb_imagref(z)),
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arb_midref(acb_realref(z))) > 0;
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/* Worst case: exp(|x|^2), computed: exp(x^2).
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(x^2+y^2) - (x^2-y^2) = 2y^2, etc. */
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if (more_imaginary)
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wp = prec + FLINT_MAX(2 * x * x, 0.0) * 1.4426950408889634074 + 5;
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else
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wp = prec + FLINT_MAX(2 * y * y, 0.0) * 1.4426950408889634074 + 5;
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acb_hypgeom_erf_1f1(res, z, prec, wp, more_imaginary);
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}
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}
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}
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}
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@ -225,14 +225,19 @@ Confluent hypergeometric functions
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The error function
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The error function
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-------------------------------------------------------------------------------
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-------------------------------------------------------------------------------
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.. function:: void acb_hypgeom_erf_propagated_error(mag_t re, mag_t im, const acb_t z)
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Sets *re* and *im* to upper bounds for the error in the real and imaginary
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part resulting from approximating the error function of *z* by
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the error function evaluated at the midpoint of *z*. Uses
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the first derivative.
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.. function:: void acb_hypgeom_erf_1f1a(acb_t res, const acb_t z, slong prec)
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.. function:: void acb_hypgeom_erf_1f1a(acb_t res, const acb_t z, slong prec)
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.. function:: void acb_hypgeom_erf_1f1b(acb_t res, const acb_t z, slong prec)
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.. function:: void acb_hypgeom_erf_1f1b(acb_t res, const acb_t z, slong prec)
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.. function:: void acb_hypgeom_erf_asymp(acb_t res, const acb_t z, slong prec, slong prec2)
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.. function:: void acb_hypgeom_erf_asymp(acb_t res, const acb_t z, slong prec, slong prec2)
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.. function:: void acb_hypgeom_erf(acb_t res, const acb_t z, slong prec)
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Computes the error function respectively using
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Computes the error function respectively using
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.. math ::
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.. math ::
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@ -247,8 +252,15 @@ The error function
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\left(1 - \frac{e^{-z^2}}{\sqrt{\pi}}
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\left(1 - \frac{e^{-z^2}}{\sqrt{\pi}}
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U(\tfrac{1}{2}, \tfrac{1}{2}, z^2)\right).
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U(\tfrac{1}{2}, \tfrac{1}{2}, z^2)\right).
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and an automatic algorithm choice. The *asymp* version takes a second
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The *asymp* version takes a second precision to use for the *U* term.
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precision to use for the *U* term.
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.. function:: void acb_hypgeom_erf(acb_t res, const acb_t z, slong prec)
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Computes the error function using an automatic algorithm choice.
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If *z* is too small to use the asymptotic expansion, a working precision
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sufficient to circumvent cancellation in the hypergeometric series is
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determined automatically, and a bound for the propagated error is
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computed with :func:`acb_hypgeom_erf_propagated_error`.
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.. function:: void _acb_hypgeom_erf_series(acb_ptr res, acb_srcptr z, slong zlen, slong len, slong prec)
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.. function:: void _acb_hypgeom_erf_series(acb_ptr res, acb_srcptr z, slong zlen, slong len, slong prec)
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