Average Error: 0.0 → 0.0
Time: 719.0ms
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 r329657 = x;
        double r329658 = 1.0;
        double r329659 = y;
        double r329660 = r329658 - r329659;
        double r329661 = r329657 * r329660;
        return r329661;
}

double f(double x, double y) {
        double r329662 = x;
        double r329663 = 1.0;
        double r329664 = r329662 * r329663;
        double r329665 = y;
        double r329666 = -r329665;
        double r329667 = r329662 * r329666;
        double r329668 = r329664 + r329667;
        return r329668;
}

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 2020065 
(FPCore (x y)
  :name "Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, H"
  :precision binary64
  (* x (- 1 y)))