/* The dominant part,
 * D(a,x) := x^a e^(-x) / Gamma(a+1)
 */
static
int
gamma_inc_D(const double a, const double x, gsl_sf_result * result)
{
  if(a < 10.0) {
    double lnr;
    gsl_sf_result lg;
    gsl_sf_lngamma_e(a+1.0, &lg);
    lnr = a * log(x) - x - lg.val;
    result->val = exp(lnr);
    result->err = 2.0 * GSL_DBL_EPSILON * (fabs(lnr) + 1.0) * fabs(result->val);
    return GSL_SUCCESS;
  }
  else {
    double mu = (x-a)/a;
    double term1;
    gsl_sf_result gstar;
    gsl_sf_result ln_term;
    gsl_sf_log_1plusx_mx_e(mu, &ln_term);  /* log(1+mu) - mu */
    gsl_sf_gammastar_e(a, &gstar);
    term1 = exp(a*ln_term.val)/sqrt(2.0*M_PI*a);
    result->val  = term1/gstar.val;
    result->err  = 2.0 * GSL_DBL_EPSILON * (fabs(a*ln_term.val) + 1.0) * fabs(result->val);
    result->err += gstar.err/fabs(gstar.val) * fabs(result->val);
    return GSL_SUCCESS;
  }
}
示例#2
0
文件: beta.c 项目: lemahdi/mglib
int
gsl_sf_lnbeta_sgn_e(const double x, const double y, gsl_sf_result * result, double * sgn)
{
  /* CHECK_POINTER(result) */

  if(x == 0.0 || y == 0.0) {
    *sgn = 0.0;
    DOMAIN_ERROR(result);
  } else if (isnegint(x) || isnegint(y)) {
    *sgn = 0.0;
    DOMAIN_ERROR(result); /* not defined for negative integers */
  }

  /* See if we can handle the postive case with min/max < 0.2 */

  if (x > 0 && y > 0) {
    const double max = GSL_MAX(x,y);
    const double min = GSL_MIN(x,y);
    const double rat = min/max;
    
    if(rat < 0.2) {
      /* min << max, so be careful
       * with the subtraction
       */
      double lnpre_val;
      double lnpre_err;
      double lnpow_val;
      double lnpow_err;
      double t1, t2, t3;
      gsl_sf_result lnopr;
      gsl_sf_result gsx, gsy, gsxy;
      gsl_sf_gammastar_e(x, &gsx);
      gsl_sf_gammastar_e(y, &gsy);
      gsl_sf_gammastar_e(x+y, &gsxy);
      gsl_sf_log_1plusx_e(rat, &lnopr);
      lnpre_val = log(gsx.val*gsy.val/gsxy.val * M_SQRT2*M_SQRTPI);
      lnpre_err = gsx.err/gsx.val + gsy.err/gsy.val + gsxy.err/gsxy.val;
      t1 = min*log(rat);
      t2 = 0.5*log(min);
      t3 = (x+y-0.5)*lnopr.val;
      lnpow_val  = t1 - t2 - t3;
      lnpow_err  = GSL_DBL_EPSILON * (fabs(t1) + fabs(t2) + fabs(t3));
      lnpow_err += fabs(x+y-0.5) * lnopr.err;
      result->val  = lnpre_val + lnpow_val;
      result->err  = lnpre_err + lnpow_err;
      result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val);
      *sgn = 1.0;
      return GSL_SUCCESS;
    }
  }

  /* General case - Fallback */
  {
    gsl_sf_result lgx, lgy, lgxy;
    double sgx, sgy, sgxy, xy = x+y;
    int stat_gx  = gsl_sf_lngamma_sgn_e(x, &lgx, &sgx);
    int stat_gy  = gsl_sf_lngamma_sgn_e(y, &lgy, &sgy);
    int stat_gxy = gsl_sf_lngamma_sgn_e(xy, &lgxy, &sgxy);
    *sgn = sgx * sgy * sgxy;
    result->val  = lgx.val + lgy.val - lgxy.val;
    result->err  = lgx.err + lgy.err + lgxy.err;
    result->err += 2.0 * GSL_DBL_EPSILON * (fabs(lgx.val) + fabs(lgy.val) + fabs(lgxy.val));
    result->err += 2.0 * GSL_DBL_EPSILON * fabs(result->val);
    return GSL_ERROR_SELECT_3(stat_gx, stat_gy, stat_gxy);
  }
}