Average Error: 8.2 → 0.0
Time: 9.5s
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 r452514 = x;
        double r452515 = y;
        double r452516 = r452514 * r452515;
        double r452517 = 1.0;
        double r452518 = r452515 + r452517;
        double r452519 = r452516 / r452518;
        return r452519;
}

double f(double x, double y) {
        double r452520 = x;
        double r452521 = y;
        double r452522 = 1.0;
        double r452523 = r452521 + r452522;
        double r452524 = r452521 / r452523;
        double r452525 = r452520 * r452524;
        return r452525;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original8.2
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 8.2

    \[\frac{x \cdot y}{y + 1}\]
  2. Using strategy rm
  3. Applied *-un-lft-identity8.2

    \[\leadsto \frac{x \cdot y}{\color{blue}{1 \cdot \left(y + 1\right)}}\]
  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 2019304 
(FPCore (x y)
  :name "Diagrams.Trail:splitAtParam  from diagrams-lib-1.3.0.3, B"
  :precision binary64

  :herbie-target
  (if (< y -3693.84827882972468) (- (/ x (* y y)) (- (/ x y) x)) (if (< y 6799310503.41891003) (/ (* x y) (+ y 1)) (- (/ x (* y y)) (- (/ x y) x))))

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