Average Error: 5.8 → 0.2
Time: 6.7s
Precision: 64
\[x + \frac{e^{y \cdot \log \left(\frac{y}{z + y}\right)}}{y}\]
↓
\[\begin{array}{l} \mathbf{if}\;y \le -16812707776681.5078125 \lor \neg \left(y \le 4.508510885357741404461443240209161942289 \cdot 10^{-7}\right):\\ \;\;\;\;x + \frac{e^{-1 \cdot z}}{y}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{e^{y \cdot 0}}{y}\\ \end{array}\]
x + \frac{e^{y \cdot \log \left(\frac{y}{z + y}\right)}}{y}
↓
\begin{array}{l}
\mathbf{if}\;y \le -16812707776681.5078125 \lor \neg \left(y \le 4.508510885357741404461443240209161942289 \cdot 10^{-7}\right):\\
\;\;\;\;x + \frac{e^{-1 \cdot z}}{y}\\

\mathbf{else}:\\
\;\;\;\;x + \frac{e^{y \cdot 0}}{y}\\

\end{array}
double f(double x, double y, double z) {
        double r325828 = x;
        double r325829 = y;
        double r325830 = z;
        double r325831 = r325830 + r325829;
        double r325832 = r325829 / r325831;
        double r325833 = log(r325832);
        double r325834 = r325829 * r325833;
        double r325835 = exp(r325834);
        double r325836 = r325835 / r325829;
        double r325837 = r325828 + r325836;
        return r325837;
}
↓
double f(double x, double y, double z) {
        double r325838 = y;
        double r325839 = -16812707776681.508;
        bool r325840 = r325838 <= r325839;
        double r325841 = 4.5085108853577414e-07;
        bool r325842 = r325838 <= r325841;
        double r325843 = !r325842;
        bool r325844 = r325840 || r325843;
        double r325845 = x;
        double r325846 = -1.0;
        double r325847 = z;
        double r325848 = r325846 * r325847;
        double r325849 = exp(r325848);
        double r325850 = r325849 / r325838;
        double r325851 = r325845 + r325850;
        double r325852 = 0.0;
        double r325853 = r325838 * r325852;
        double r325854 = exp(r325853);
        double r325855 = r325854 / r325838;
        double r325856 = r325845 + r325855;
        double r325857 = r325844 ? r325851 : r325856;
        return r325857;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original5.8
Target1.1
Herbie0.2
\[\begin{array}{l} \mathbf{if}\;\frac{y}{z + y} \lt 7.115415759790762719541517221498726780517 \cdot 10^{-315}:\\ \;\;\;\;x + \frac{e^{\frac{-1}{z}}}{y}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{e^{\log \left({\left(\frac{y}{y + z}\right)}^{y}\right)}}{y}\\ \end{array}\]

Derivation

  1. Split input into 2 regimes

  2. if y < -16812707776681.508 or 4.5085108853577414e-07 < y

    1. Initial program 2.0

      \[x + \frac{e^{y \cdot \log \left(\frac{y}{z + y}\right)}}{y}\]

    2. Taylor expanded around inf 0.1

      \[\leadsto x + \color{blue}{\frac{e^{-1 \cdot z}}{y}}\]

    if -16812707776681.508 < y < 4.5085108853577414e-07

    1. Initial program 10.1

      \[x + \frac{e^{y \cdot \log \left(\frac{y}{z + y}\right)}}{y}\]

    2. Taylor expanded around inf 0.4

      \[\leadsto x + \frac{e^{y \cdot \color{blue}{0}}}{y}\]
  3. Recombined 2 regimes into one program.

  4. Final simplification0.2

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \le -16812707776681.5078125 \lor \neg \left(y \le 4.508510885357741404461443240209161942289 \cdot 10^{-7}\right):\\ \;\;\;\;x + \frac{e^{-1 \cdot z}}{y}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{e^{y \cdot 0}}{y}\\ \end{array}\]

Reproduce

herbie shell --seed 2019353 +o rules:numerics
(FPCore (x y z)
  :name "Numeric.SpecFunctions:invIncompleteBetaWorker from math-functions-0.1.5.2, G"
  :precision binary64

  :herbie-target
  (if (< (/ y (+ z y)) 7.1154157597908e-315) (+ x (/ (exp (/ -1 z)) y)) (+ x (/ (exp (log (pow (/ y (+ y z)) y))) y)))

  (+ x (/ (exp (* y (log (/ y (+ z y))))) y)))