Average Error: 3.3 → 0.2
Time: 3.5s
Precision: 64
\[x \cdot \left(1 - \left(1 - y\right) \cdot z\right)\]
\[\begin{array}{l} \mathbf{if}\;\left(1 - y\right) \cdot z \le -1.3495595828906216 \cdot 10^{192} \lor \neg \left(\left(1 - y\right) \cdot z \le 3.09952408847658801 \cdot 10^{180}\right):\\ \;\;\;\;x \cdot 1 + \left(x \cdot z\right) \cdot \left(y - 1\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot 1 + \left(x \cdot \left(z \cdot y\right) + \left(x \cdot z\right) \cdot \left(-1\right)\right)\\ \end{array}\]
x \cdot \left(1 - \left(1 - y\right) \cdot z\right)
\begin{array}{l}
\mathbf{if}\;\left(1 - y\right) \cdot z \le -1.3495595828906216 \cdot 10^{192} \lor \neg \left(\left(1 - y\right) \cdot z \le 3.09952408847658801 \cdot 10^{180}\right):\\
\;\;\;\;x \cdot 1 + \left(x \cdot z\right) \cdot \left(y - 1\right)\\

\mathbf{else}:\\
\;\;\;\;x \cdot 1 + \left(x \cdot \left(z \cdot y\right) + \left(x \cdot z\right) \cdot \left(-1\right)\right)\\

\end{array}
double f(double x, double y, double z) {
        double r960054 = x;
        double r960055 = 1.0;
        double r960056 = y;
        double r960057 = r960055 - r960056;
        double r960058 = z;
        double r960059 = r960057 * r960058;
        double r960060 = r960055 - r960059;
        double r960061 = r960054 * r960060;
        return r960061;
}

double f(double x, double y, double z) {
        double r960062 = 1.0;
        double r960063 = y;
        double r960064 = r960062 - r960063;
        double r960065 = z;
        double r960066 = r960064 * r960065;
        double r960067 = -1.3495595828906216e+192;
        bool r960068 = r960066 <= r960067;
        double r960069 = 3.099524088476588e+180;
        bool r960070 = r960066 <= r960069;
        double r960071 = !r960070;
        bool r960072 = r960068 || r960071;
        double r960073 = x;
        double r960074 = r960073 * r960062;
        double r960075 = r960073 * r960065;
        double r960076 = r960063 - r960062;
        double r960077 = r960075 * r960076;
        double r960078 = r960074 + r960077;
        double r960079 = r960065 * r960063;
        double r960080 = r960073 * r960079;
        double r960081 = -r960062;
        double r960082 = r960075 * r960081;
        double r960083 = r960080 + r960082;
        double r960084 = r960074 + r960083;
        double r960085 = r960072 ? r960078 : r960084;
        return r960085;
}

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

Original3.3
Target0.3
Herbie0.2
\[\begin{array}{l} \mathbf{if}\;x \cdot \left(1 - \left(1 - y\right) \cdot z\right) \lt -1.618195973607049 \cdot 10^{50}:\\ \;\;\;\;x + \left(1 - y\right) \cdot \left(\left(-z\right) \cdot x\right)\\ \mathbf{elif}\;x \cdot \left(1 - \left(1 - y\right) \cdot z\right) \lt 3.8922376496639029 \cdot 10^{134}:\\ \;\;\;\;\left(x \cdot y\right) \cdot z - \left(x \cdot z - x\right)\\ \mathbf{else}:\\ \;\;\;\;x + \left(1 - y\right) \cdot \left(\left(-z\right) \cdot x\right)\\ \end{array}\]

Derivation

  1. Split input into 2 regimes
  2. if (* (- 1.0 y) z) < -1.3495595828906216e+192 or 3.099524088476588e+180 < (* (- 1.0 y) z)

    1. Initial program 16.5

      \[x \cdot \left(1 - \left(1 - y\right) \cdot z\right)\]
    2. Using strategy rm
    3. Applied sub-neg16.5

      \[\leadsto x \cdot \color{blue}{\left(1 + \left(-\left(1 - y\right) \cdot z\right)\right)}\]
    4. Applied distribute-lft-in16.5

      \[\leadsto \color{blue}{x \cdot 1 + x \cdot \left(-\left(1 - y\right) \cdot z\right)}\]
    5. Simplified0.6

      \[\leadsto x \cdot 1 + \color{blue}{\left(x \cdot z\right) \cdot \left(y - 1\right)}\]

    if -1.3495595828906216e+192 < (* (- 1.0 y) z) < 3.099524088476588e+180

    1. Initial program 0.1

      \[x \cdot \left(1 - \left(1 - y\right) \cdot z\right)\]
    2. Using strategy rm
    3. Applied sub-neg0.1

      \[\leadsto x \cdot \color{blue}{\left(1 + \left(-\left(1 - y\right) \cdot z\right)\right)}\]
    4. Applied distribute-lft-in0.1

      \[\leadsto \color{blue}{x \cdot 1 + x \cdot \left(-\left(1 - y\right) \cdot z\right)}\]
    5. Simplified1.9

      \[\leadsto x \cdot 1 + \color{blue}{\left(x \cdot z\right) \cdot \left(y - 1\right)}\]
    6. Using strategy rm
    7. Applied sub-neg1.9

      \[\leadsto x \cdot 1 + \left(x \cdot z\right) \cdot \color{blue}{\left(y + \left(-1\right)\right)}\]
    8. Applied distribute-lft-in1.9

      \[\leadsto x \cdot 1 + \color{blue}{\left(\left(x \cdot z\right) \cdot y + \left(x \cdot z\right) \cdot \left(-1\right)\right)}\]
    9. Simplified0.1

      \[\leadsto x \cdot 1 + \left(\color{blue}{x \cdot \left(z \cdot y\right)} + \left(x \cdot z\right) \cdot \left(-1\right)\right)\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.2

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(1 - y\right) \cdot z \le -1.3495595828906216 \cdot 10^{192} \lor \neg \left(\left(1 - y\right) \cdot z \le 3.09952408847658801 \cdot 10^{180}\right):\\ \;\;\;\;x \cdot 1 + \left(x \cdot z\right) \cdot \left(y - 1\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot 1 + \left(x \cdot \left(z \cdot y\right) + \left(x \cdot z\right) \cdot \left(-1\right)\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2020062 
(FPCore (x y z)
  :name "Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, J"
  :precision binary64

  :herbie-target
  (if (< (* x (- 1 (* (- 1 y) z))) -1.618195973607049e+50) (+ x (* (- 1 y) (* (- z) x))) (if (< (* x (- 1 (* (- 1 y) z))) 3.892237649663903e+134) (- (* (* x y) z) (- (* x z) x)) (+ x (* (- 1 y) (* (- z) x)))))

  (* x (- 1 (* (- 1 y) z))))