Average Error: 0.0 → 0.0
Time: 779.0ms
Precision: 64
\[x \cdot \left(1 - y\right)\]
↓
\[x \cdot 1 + x \cdot \left(-y\right)\]
x \cdot \left(1 - y\right)
↓
x \cdot 1 + x \cdot \left(-y\right)
double f(double x, double y) {
        double r258996 = x;
        double r258997 = 1.0;
        double r258998 = y;
        double r258999 = r258997 - r258998;
        double r259000 = r258996 * r258999;
        return r259000;
}
↓
double f(double x, double y) {
        double r259001 = x;
        double r259002 = 1.0;
        double r259003 = r259001 * r259002;
        double r259004 = y;
        double r259005 = -r259004;
        double r259006 = r259001 * r259005;
        double r259007 = r259003 + r259006;
        return r259007;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

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

  3. Applied sub-neg0.0

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

  4. Applied distribute-lft-in0.0

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

  5. Final simplification0.0

    \[\leadsto x \cdot 1 + x \cdot \left(-y\right)\]

Reproduce

herbie shell --seed 2020034 
(FPCore (x y)
  :name "Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, H"
  :precision binary64
  (* x (- 1 y)))