Average Error: 6.0 → 0.8
Time: 19.6s
Precision: 64
\[x + \frac{e^{y \cdot \log \left(\frac{y}{z + y}\right)}}{y}\]
↓
\[\begin{array}{l} \mathbf{if}\;y \le 0.06656101021950764:\\ \;\;\;\;x + \frac{1}{y}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{1}{y \cdot e^{z}}\\ \end{array}\]
x + \frac{e^{y \cdot \log \left(\frac{y}{z + y}\right)}}{y}
↓
\begin{array}{l}
\mathbf{if}\;y \le 0.06656101021950764:\\
\;\;\;\;x + \frac{1}{y}\\

\mathbf{else}:\\
\;\;\;\;x + \frac{1}{y \cdot e^{z}}\\

\end{array}
double f(double x, double y, double z) {
        double r16176878 = x;
        double r16176879 = y;
        double r16176880 = z;
        double r16176881 = r16176880 + r16176879;
        double r16176882 = r16176879 / r16176881;
        double r16176883 = log(r16176882);
        double r16176884 = r16176879 * r16176883;
        double r16176885 = exp(r16176884);
        double r16176886 = r16176885 / r16176879;
        double r16176887 = r16176878 + r16176886;
        return r16176887;
}
↓
double f(double x, double y, double z) {
        double r16176888 = y;
        double r16176889 = 0.06656101021950764;
        bool r16176890 = r16176888 <= r16176889;
        double r16176891 = x;
        double r16176892 = 1.0;
        double r16176893 = r16176892 / r16176888;
        double r16176894 = r16176891 + r16176893;
        double r16176895 = z;
        double r16176896 = exp(r16176895);
        double r16176897 = r16176888 * r16176896;
        double r16176898 = r16176892 / r16176897;
        double r16176899 = r16176891 + r16176898;
        double r16176900 = r16176890 ? r16176894 : r16176899;
        return r16176900;
}

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

Original6.0
Target1.1
Herbie0.8
\[\begin{array}{l} \mathbf{if}\;\frac{y}{z + y} \lt 7.1154157597908 \cdot 10^{-315}:\\ \;\;\;\;x + \frac{e^{\frac{-1}{z}}}{y}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{e^{\log \left({\left(\frac{y}{y + z}\right)}^{y}\right)}}{y}\\ \end{array}\]

Derivation

  1. Split input into 2 regimes

  2. if y < 0.06656101021950764

    1. Initial program 7.7

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

    2. Taylor expanded around inf 1.2

      \[\leadsto x + \frac{e^{\color{blue}{0}}}{y}\]

    if 0.06656101021950764 < y

    1. Initial program 2.0

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

    2. Taylor expanded around inf 0.0

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

    3. Simplified0.0

      \[\leadsto x + \color{blue}{\frac{e^{-z}}{y}}\]
    4. Using strategy rm

    5. Applied exp-neg0.0

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

    6. Applied associate-/l/0.0

      \[\leadsto x + \color{blue}{\frac{1}{y \cdot e^{z}}}\]
  3. Recombined 2 regimes into one program.

  4. Final simplification0.8

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \le 0.06656101021950764:\\ \;\;\;\;x + \frac{1}{y}\\ \mathbf{else}:\\ \;\;\;\;x + \frac{1}{y \cdot e^{z}}\\ \end{array}\]

Reproduce

herbie shell --seed 2019163 +o rules:numerics
(FPCore (x y z)
  :name "Numeric.SpecFunctions:invIncompleteBetaWorker from math-functions-0.1.5.2, G"

  :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)))