Ejemplo n.º 1
0
void
gsl_complex_arctan (complex_t const *a, complex_t *res)
{                               /* z = arctan(a) */
        gnm_float R = GSL_REAL (a), I = GSL_IMAG (a);

	if (I == 0) {
	        complex_init (res, gnm_atan (R), 0);
	} else {
	        /* FIXME: This is a naive implementation which does not fully
		 * take into account cancellation errors, overflow, underflow
		 * etc.  It would benefit from the Hull et al treatment. */

	        gnm_float r = gnm_hypot (R, I);

		gnm_float imag;

		gnm_float u = 2 * I / (1 + r * r);

		/* FIXME: the following cross-over should be optimized but 0.1
		 * seems to work ok */

		if (gnm_abs (u) < 0.1) {
		        imag = 0.25 * (gnm_log1p (u) - gnm_log1p (-u));
		} else {
		        gnm_float A = gnm_hypot (R, I + 1);
			gnm_float B = gnm_hypot (R, I - 1);
			imag = 0.5 * gnm_log (A / B);
		}
		if (R == 0) {
		        if (I > 1) {
			        complex_init (res, M_PI_2gnum, imag);
			} else if (I < -1) {
			        complex_init (res, -M_PI_2gnum, imag);
			} else {
			        complex_init (res, 0, imag);
			}
		} else {
		        complex_init (res, 0.5 * gnm_atan2 (2 * R,
							    ((1 + r) * (1 - r))),
				      imag);
		}
	}
}
Ejemplo n.º 2
0
void
gsl_complex_arccos (complex_t const *a, complex_t *res)
{                               /* z = arccos(a) */
        gnm_float R = GSL_REAL (a), I = GSL_IMAG (a);

	if (I == 0) {
	        gsl_complex_arccos_real (R, res);
	} else {
	        gnm_float x = gnm_abs (R);
		gnm_float y = gnm_abs (I);
		gnm_float r = gnm_hypot (x + 1, y);
		gnm_float s = gnm_hypot (x - 1, y);
		gnm_float A = 0.5 * (r + s);
		gnm_float B = x / A;
		gnm_float y2 = y * y;

		gnm_float real, imag;

		const gnm_float A_crossover = 1.5;
		const gnm_float B_crossover = 0.6417;

		if (B <= B_crossover) {
		        real = gnm_acos (B);
		} else {
		        if (x <= 1) {
			        gnm_float D = 0.5 * (A + x) *
				        (y2 / (r + x + 1) + (s + (1 - x)));
				real = gnm_atan (gnm_sqrt (D) / x);
			} else {
			        gnm_float Apx = A + x;
				gnm_float D = 0.5 * (Apx / (r + x + 1) + Apx /
						      (s + (x - 1)));
				real = gnm_atan ((y * gnm_sqrt (D)) / x);
			}
		}
		if (A <= A_crossover) {
		        gnm_float Am1;

			if (x < 1) {
			        Am1 = 0.5 * (y2 / (r + (x + 1)) + y2 /
					     (s + (1 - x)));
			} else {
			        Am1 = 0.5 * (y2 / (r + (x + 1)) +
					     (s + (x - 1)));
			}

			imag = gnm_log1p (Am1 + gnm_sqrt (Am1 * (A + 1)));
		} else {
		        imag = gnm_log (A + gnm_sqrt (A * A - 1));
		}

		complex_init (res, (R >= 0) ? real : M_PIgnum - real, (I >= 0) ?
			      -imag : imag);
	}
}
Ejemplo n.º 3
0
gnm_float gnm_lbeta(gnm_float a, gnm_float b)
{
    gnm_float corr, p, q;

    p = q = a;
    if(b < p) p = b;/* := min(a,b) */
    if(b > q) q = b;/* := max(a,b) */

#ifdef IEEE_754
    if(gnm_isnan(a) || gnm_isnan(b))
	return a + b;
#endif

    /* both arguments must be >= 0 */

    if (p < 0)
	ML_ERR_return_NAN
    else if (p == 0) {
	return gnm_pinf;
    }
    else if (!gnm_finite(q)) {
	return gnm_ninf;
    }

    if (p >= 10) {
	/* p and q are big. */
	corr = lgammacor(p) + lgammacor(q) - lgammacor(p + q);
	return gnm_log(q) * -0.5 + M_LN_SQRT_2PI + corr
		+ (p - 0.5) * gnm_log(p / (p + q)) + q * gnm_log1p(-p / (p + q));
    }
    else if (q >= 10) {
	/* p is small, but q is big. */
	corr = lgammacor(q) - lgammacor(p + q);
	return gnm_lgamma(p) + corr + p - p * gnm_log(p + q)
		+ (q - 0.5) * gnm_log1p(-p / (p + q));
    }
    else
	/* p and q are small: p <= q < 10. */
	return gnm_lgamma (p) + gnm_lgamma (q) - gnm_lgamma (p + q);
}
Ejemplo n.º 4
0
gnm_float
qgumbel (gnm_float p, gnm_float mu, gnm_float beta, gboolean lower_tail, gboolean log_p)
{
	if (!(beta > 0) ||
	    gnm_isnan (mu) || gnm_isnan (beta) || gnm_isnan (p) ||
	    (log_p ? p > 0 : (p < 0 || p > 1)))
		return gnm_nan;

	if (log_p) {
		if (!lower_tail)
			p = swap_log_tail (p);
	} else {
		if (lower_tail)
			p = gnm_log (p);
		else
			p = gnm_log1p (-p);
	}

	/* We're now in the log_p, lower_tail case.  */
	return mu - beta * gnm_log (-p);
}
Ejemplo n.º 5
0
gnm_float
pochhammer (gnm_float x, gnm_float n)
{
	gnm_float rn, rx, lr;
	GnmQuad m1, m2;
	int e1, e2;

	if (gnm_isnan (x) || gnm_isnan (n))
		return gnm_nan;

	if (n == 0)
		return 1;

	rx = gnm_floor (x);
	rn = gnm_floor (n);

	/*
	 * Use naive multiplication when n is a small integer.
	 * We don't want to use this if x is also an integer
	 * (but we might do so below if x is insanely large).
	 */
	if (n == rn && x != rx && n >= 0 && n < 40)
		return pochhammer_naive (x, (int)n);

	if (!qfactf (x + n - 1, &m1, &e1) &&
	    !qfactf (x - 1, &m2, &e2)) {
		void *state = gnm_quad_start ();
		int de = e1 - e2;
		GnmQuad qr;
		gnm_float r;

		gnm_quad_div (&qr, &m1, &m2);
		r = gnm_quad_value (&qr);
		gnm_quad_end (state);

		return gnm_ldexp (r, de);
	}

	if (x == rx && x <= 0) {
		if (n != rn)
			return 0;
		if (x == 0)
			return (n > 0)
				? 0
				: ((gnm_fmod (-n, 2) == 0 ? +1 : -1) /
				   gnm_fact (-n));
		if (n > -x)
			return gnm_nan;
	}

	/*
	 * We have left the common cases.  One of x+n and x is
	 * insanely big, possibly both.
	 */

	if (gnm_abs (x) < 1)
		return gnm_pinf;

	if (n < 0)
		return 1 / pochhammer (x + n, -n);

	if (n == rn && n >= 0 && n < 100)
		return pochhammer_naive (x, (int)n);

	if (gnm_abs (n) < 1) {
		/* x is big.  */
		void *state = gnm_quad_start ();
		GnmQuad qr;
		gnm_float r;
		pochhammer_small_n (x, n, &qr);
		r = gnm_quad_value (&qr);
		gnm_quad_end (state);
		return r;
	}

	/* Panic mode.  */
	g_printerr ("x=%.20g  n=%.20g\n", x, n);
	lr = ((x - 0.5) * gnm_log1p (n / x) +
	      n * gnm_log (x + n) -
	      n +
	      (lgammacor (x + n) - lgammacor (x)));
	return gnm_exp (lr);
}
Ejemplo n.º 6
0
gnm_float
pst (gnm_float x, gnm_float n, gnm_float shape, gboolean lower_tail, gboolean log_p)
{
	gnm_float p;

	if (n <= 0 || gnm_isnan (x) || gnm_isnan (n) || gnm_isnan (shape))
		return gnm_nan;

	if (shape == 0.)
		return pt (x, n, lower_tail, log_p);

	if (n > 100) {
		/* Approximation */
		return psnorm (x, shape, 0.0, 1.0, lower_tail, log_p);
	}

	/* Flip to a lower-tail problem.  */
	if (!lower_tail) {
		x = -x;
		shape = -shape;
		lower_tail = !lower_tail;
	}

	/* Generic fallback.  */
	if (log_p)
		gnm_log (pst (x, n, shape, TRUE, FALSE));

	if (n != gnm_floor (n)) {
		/* We would need numerical integration for this.  */
		return gnm_nan;
	}

	/*
	 * Use recurrence formula from "Recurrent relations for
	 * distributions of a skew-t and a linear combination of order
	 * statistics form a bivariate-t", Computational Statistics
	 * and Data Analysis volume 52, 2009 by Jamallizadeh,
	 * Khosravi, Balakrishnan.
	 *
	 * This brings us down to n==1 or n==2 for which explicit formulas
	 * are available.
	 */

	p = 0;
	while (n > 2) {
		double a, lb, c, d, pv, v = n - 1;

		d = v == 2
			? M_LN2gnum - gnm_log (M_PIgnum) + gnm_log (3) / 2
			: (0.5 + M_LN2gnum / 2 - gnm_log (M_PIgnum) / 2 +
			   v / 2 * (gnm_log1p (-1 / (v - 1)) + gnm_log (v + 1)) -
			   0.5 * (gnm_log (v - 2) + gnm_log (v + 1)) +
			   stirlerr (v / 2 - 1) -
			   stirlerr ((v - 1) / 2));

		a = v + 1 + x * x;
		lb = (d - gnm_log (a) * v / 2);
		c = pt (gnm_sqrt (v) * shape * x / gnm_sqrt (a), v, TRUE, FALSE);
		pv = x * gnm_exp (lb) * c;
		p += pv;

		n -= 2;
		x *= gnm_sqrt ((v - 1) / (v + 1));
	}

	g_return_val_if_fail (n == 1 || n == 2, gnm_nan);
	if (n == 1) {
		gnm_float p1;

		p1 = (gnm_atan (x) + gnm_acos (shape / gnm_sqrt ((1 + shape * shape) * (1 + x * x)))) / M_PIgnum;
		p += p1;
	} else if (n == 2) {
		gnm_float p2, f;

		f = x / gnm_sqrt (2 + x * x);

		p2 = (gnm_atan_mpihalf (shape) + f * gnm_atan_mpihalf (-shape * f)) / -M_PIgnum;

		p += p2;
	} else {
		return gnm_nan;
	}

	/*
	 * Negatives can occur due to rounding errors and hopefully for no
	 * other reason.
	 */
	p = CLAMP (p, 0.0, 1.0);

	return p;
}