Average Error: 3.5 → 0.5
Time: 4.5s
Precision: binary64
\[x \cdot \left(1 - y \cdot z\right)\]
↓
\[\begin{array}{l} \mathbf{if}\;y \cdot z \leq -7.066924116252075 \cdot 10^{+99} \lor \neg \left(y \cdot z \leq 1.1511030493396572 \cdot 10^{+256}\right):\\ \;\;\;\;x - z \cdot \left(y \cdot x\right)\\ \mathbf{else}:\\ \;\;\;\;x - \left(y \cdot z\right) \cdot x\\ \end{array}\]
x \cdot \left(1 - y \cdot z\right)
↓
\begin{array}{l}
\mathbf{if}\;y \cdot z \leq -7.066924116252075 \cdot 10^{+99} \lor \neg \left(y \cdot z \leq 1.1511030493396572 \cdot 10^{+256}\right):\\
\;\;\;\;x - z \cdot \left(y \cdot x\right)\\

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

\end{array}
(FPCore (x y z) :precision binary64 (* x (- 1.0 (* y z))))
↓
(FPCore (x y z)
 :precision binary64
 (if (or (<= (* y z) -7.066924116252075e+99)
         (not (<= (* y z) 1.1511030493396572e+256)))
   (- x (* z (* y x)))
   (- x (* (* y z) x))))
double code(double x, double y, double z) {
	return x * (1.0 - (y * z));
}
↓
double code(double x, double y, double z) {
	double tmp;
	if (((y * z) <= -7.066924116252075e+99) || !((y * z) <= 1.1511030493396572e+256)) {
		tmp = x - (z * (y * x));
	} else {
		tmp = x - ((y * z) * x);
	}
	return tmp;
}

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

Derivation

  1. Split input into 2 regimes

  2. if (*.f64 y z) < -7.0669241162520747e99 or 1.15110304933965725e256 < (*.f64 y z)

    1. Initial program 21.2

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

    3. Applied sub-neg_binary64_757321.2

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

    4. Applied distribute-rgt-in_binary64_753021.2

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

    5. Simplified21.2

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

    6. Simplified21.2

      \[\leadsto x + \color{blue}{x \cdot \left(-y \cdot z\right)}\]
    7. Using strategy rm

    8. Applied distribute-rgt-neg-in_binary64_753821.2

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

    9. Applied associate-*r*_binary64_75202.8

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

    if -7.0669241162520747e99 < (*.f64 y z) < 1.15110304933965725e256

    1. Initial program 0.1

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

    3. Applied sub-neg_binary64_75730.1

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

    4. Applied distribute-rgt-in_binary64_75300.1

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

    5. Simplified0.1

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

    6. Simplified0.1

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

  4. Final simplification0.5

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot z \leq -7.066924116252075 \cdot 10^{+99} \lor \neg \left(y \cdot z \leq 1.1511030493396572 \cdot 10^{+256}\right):\\ \;\;\;\;x - z \cdot \left(y \cdot x\right)\\ \mathbf{else}:\\ \;\;\;\;x - \left(y \cdot z\right) \cdot x\\ \end{array}\]

Reproduce

herbie shell --seed 2020342 
(FPCore (x y z)
  :name "Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, I"
  :precision binary64
  (* x (- 1.0 (* y z))))