Average Error: 7.9 → 0.0
Time: 2.3s
Precision: 64
\[\frac{x \cdot y}{y + 1}\]
\[x \cdot \frac{y}{y + 1}\]
\frac{x \cdot y}{y + 1}
x \cdot \frac{y}{y + 1}
double f(double x, double y) {
        double r643250 = x;
        double r643251 = y;
        double r643252 = r643250 * r643251;
        double r643253 = 1.0;
        double r643254 = r643251 + r643253;
        double r643255 = r643252 / r643254;
        return r643255;
}

double f(double x, double y) {
        double r643256 = x;
        double r643257 = y;
        double r643258 = 1.0;
        double r643259 = r643257 + r643258;
        double r643260 = r643257 / r643259;
        double r643261 = r643256 * r643260;
        return r643261;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original7.9
Target0.0
Herbie0.0
\[\begin{array}{l} \mathbf{if}\;y \lt -3693.848278829724677052581682801246643066:\\ \;\;\;\;\frac{x}{y \cdot y} - \left(\frac{x}{y} - x\right)\\ \mathbf{elif}\;y \lt 6799310503.41891002655029296875:\\ \;\;\;\;\frac{x \cdot y}{y + 1}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{y \cdot y} - \left(\frac{x}{y} - x\right)\\ \end{array}\]

Derivation

  1. Initial program 7.9

    \[\frac{x \cdot y}{y + 1}\]
  2. Using strategy rm
  3. Applied *-un-lft-identity7.9

    \[\leadsto \frac{x \cdot y}{\color{blue}{1 \cdot \left(y + 1\right)}}\]
  4. Applied times-frac0.0

    \[\leadsto \color{blue}{\frac{x}{1} \cdot \frac{y}{y + 1}}\]
  5. Simplified0.0

    \[\leadsto \color{blue}{x} \cdot \frac{y}{y + 1}\]
  6. Final simplification0.0

    \[\leadsto x \cdot \frac{y}{y + 1}\]

Reproduce

herbie shell --seed 2019356 
(FPCore (x y)
  :name "Diagrams.Trail:splitAtParam  from diagrams-lib-1.3.0.3, B"
  :precision binary64

  :herbie-target
  (if (< y -3693.8482788297247) (- (/ x (* y y)) (- (/ x y) x)) (if (< y 6799310503.41891) (/ (* x y) (+ y 1)) (- (/ x (* y y)) (- (/ x y) x))))

  (/ (* x y) (+ y 1)))