Average Error: 7.9 → 0.0
Time: 4.9s
Precision: 64
\[\frac{x \cdot y}{y + 1}\]
↓
\[\frac{y}{y + 1} \cdot x\]
\frac{x \cdot y}{y + 1}
↓
\frac{y}{y + 1} \cdot x
double f(double x, double y) {
        double r31661293 = x;
        double r31661294 = y;
        double r31661295 = r31661293 * r31661294;
        double r31661296 = 1.0;
        double r31661297 = r31661294 + r31661296;
        double r31661298 = r31661295 / r31661297;
        return r31661298;
}
↓
double f(double x, double y) {
        double r31661299 = y;
        double r31661300 = 1.0;
        double r31661301 = r31661299 + r31661300;
        double r31661302 = r31661299 / r31661301;
        double r31661303 = x;
        double r31661304 = r31661302 * r31661303;
        return r31661304;
}

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

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

Reproduce

herbie shell --seed 2019192 +o rules:numerics
(FPCore (x y)
  :name "Diagrams.Trail:splitAtParam  from diagrams-lib-1.3.0.3, B"

  :herbie-target
  (if (< y -3693.8482788297247) (- (/ x (* y y)) (- (/ x y) x)) (if (< y 6799310503.41891) (/ (* x y) (+ y 1.0)) (- (/ x (* y y)) (- (/ x y) x))))

  (/ (* x y) (+ y 1.0)))