Average Error: 1.9 → 1.9
Time: 51.4s
Precision: 64
\[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}\]
\[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}\]
\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}
\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}
double f(double x, double y, double z, double t, double a, double b) {
        double r92101 = x;
        double r92102 = y;
        double r92103 = z;
        double r92104 = log(r92103);
        double r92105 = r92102 * r92104;
        double r92106 = t;
        double r92107 = 1.0;
        double r92108 = r92106 - r92107;
        double r92109 = a;
        double r92110 = log(r92109);
        double r92111 = r92108 * r92110;
        double r92112 = r92105 + r92111;
        double r92113 = b;
        double r92114 = r92112 - r92113;
        double r92115 = exp(r92114);
        double r92116 = r92101 * r92115;
        double r92117 = r92116 / r92102;
        return r92117;
}

double f(double x, double y, double z, double t, double a, double b) {
        double r92118 = x;
        double r92119 = y;
        double r92120 = z;
        double r92121 = log(r92120);
        double r92122 = r92119 * r92121;
        double r92123 = t;
        double r92124 = 1.0;
        double r92125 = r92123 - r92124;
        double r92126 = a;
        double r92127 = log(r92126);
        double r92128 = r92125 * r92127;
        double r92129 = r92122 + r92128;
        double r92130 = b;
        double r92131 = r92129 - r92130;
        double r92132 = exp(r92131);
        double r92133 = r92118 * r92132;
        double r92134 = r92133 / r92119;
        return r92134;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Bits error versus b

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 1.9

    \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}\]
  2. Final simplification1.9

    \[\leadsto \frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1\right) \cdot \log a\right) - b}}{y}\]

Reproduce

herbie shell --seed 2019306 +o rules:numerics
(FPCore (x y z t a b)
  :name "Numeric.SpecFunctions:incompleteBetaWorker from math-functions-0.1.5.2"
  :precision binary64
  (/ (* x (exp (- (+ (* y (log z)) (* (- t 1) (log a))) b))) y))