Average Error: 0.0 → 0.0
Time: 1.9s
Precision: 64
\[x \cdot y - x\]
\[x \cdot \left(y - 1\right)\]
x \cdot y - x
x \cdot \left(y - 1\right)
double f(double x, double y) {
        double r304975 = x;
        double r304976 = y;
        double r304977 = r304975 * r304976;
        double r304978 = r304977 - r304975;
        return r304978;
}

double f(double x, double y) {
        double r304979 = x;
        double r304980 = y;
        double r304981 = 1.0;
        double r304982 = r304980 - r304981;
        double r304983 = r304979 * r304982;
        return r304983;
}

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

    \[x \cdot y - x\]
  2. Using strategy rm
  3. Applied flip--28.1

    \[\leadsto \color{blue}{\frac{\left(x \cdot y\right) \cdot \left(x \cdot y\right) - x \cdot x}{x \cdot y + x}}\]
  4. Simplified30.7

    \[\leadsto \frac{\color{blue}{x \cdot \left(y \cdot \left(x \cdot y\right) - x\right)}}{x \cdot y + x}\]
  5. Using strategy rm
  6. Applied *-un-lft-identity30.7

    \[\leadsto \frac{x \cdot \left(y \cdot \left(x \cdot y\right) - x\right)}{\color{blue}{1 \cdot \left(x \cdot y + x\right)}}\]
  7. Applied times-frac9.7

    \[\leadsto \color{blue}{\frac{x}{1} \cdot \frac{y \cdot \left(x \cdot y\right) - x}{x \cdot y + x}}\]
  8. Simplified9.7

    \[\leadsto \color{blue}{x} \cdot \frac{y \cdot \left(x \cdot y\right) - x}{x \cdot y + x}\]
  9. Taylor expanded around 0 0.0

    \[\leadsto x \cdot \color{blue}{\left(y - 1\right)}\]
  10. Final simplification0.0

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

Reproduce

herbie shell --seed 2020003 
(FPCore (x y)
  :name "Data.Histogram.Bin.LogBinD:$cbinSizeN from histogram-fill-0.8.4.1"
  :precision binary64
  (- (* x y) x))