Average Error: 0.0 → 0.0
Time: 695.0ms
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 r256777 = x;
        double r256778 = 1.0;
        double r256779 = y;
        double r256780 = r256778 - r256779;
        double r256781 = r256777 * r256780;
        return r256781;
}
↓
double f(double x, double y) {
        double r256782 = x;
        double r256783 = 1.0;
        double r256784 = r256782 * r256783;
        double r256785 = y;
        double r256786 = -r256785;
        double r256787 = r256782 * r256786;
        double r256788 = r256784 + r256787;
        return r256788;
}

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 2020018 
(FPCore (x y)
  :name "Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, H"
  :precision binary64
  (* x (- 1 y)))