Average Error: 7.8 → 2.0
Time: 16.6s
Precision: 64
\[\frac{x}{\left(y - z\right) \cdot \left(t - z\right)}\]
\[\frac{\frac{x}{y - z}}{t - z}\]
\frac{x}{\left(y - z\right) \cdot \left(t - z\right)}
\frac{\frac{x}{y - z}}{t - z}
double f(double x, double y, double z, double t) {
        double r482958 = x;
        double r482959 = y;
        double r482960 = z;
        double r482961 = r482959 - r482960;
        double r482962 = t;
        double r482963 = r482962 - r482960;
        double r482964 = r482961 * r482963;
        double r482965 = r482958 / r482964;
        return r482965;
}

double f(double x, double y, double z, double t) {
        double r482966 = x;
        double r482967 = y;
        double r482968 = z;
        double r482969 = r482967 - r482968;
        double r482970 = r482966 / r482969;
        double r482971 = t;
        double r482972 = r482971 - r482968;
        double r482973 = r482970 / r482972;
        return r482973;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original7.8
Target8.5
Herbie2.0
\[\begin{array}{l} \mathbf{if}\;\frac{x}{\left(y - z\right) \cdot \left(t - z\right)} \lt 0.0:\\ \;\;\;\;\frac{\frac{x}{y - z}}{t - z}\\ \mathbf{else}:\\ \;\;\;\;x \cdot \frac{1}{\left(y - z\right) \cdot \left(t - z\right)}\\ \end{array}\]

Derivation

  1. Initial program 7.8

    \[\frac{x}{\left(y - z\right) \cdot \left(t - z\right)}\]
  2. Using strategy rm
  3. Applied associate-/r*2.0

    \[\leadsto \color{blue}{\frac{\frac{x}{y - z}}{t - z}}\]
  4. Final simplification2.0

    \[\leadsto \frac{\frac{x}{y - z}}{t - z}\]

Reproduce

herbie shell --seed 2019326 
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, B"
  :precision binary64

  :herbie-target
  (if (< (/ x (* (- y z) (- t z))) 0.0) (/ (/ x (- y z)) (- t z)) (* x (/ 1 (* (- y z) (- t z)))))

  (/ x (* (- y z) (- t z))))