Average Error: 7.7 → 2.3
Time: 19.5s
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 r477952 = x;
        double r477953 = y;
        double r477954 = z;
        double r477955 = r477953 - r477954;
        double r477956 = t;
        double r477957 = r477956 - r477954;
        double r477958 = r477955 * r477957;
        double r477959 = r477952 / r477958;
        return r477959;
}

double f(double x, double y, double z, double t) {
        double r477960 = x;
        double r477961 = y;
        double r477962 = z;
        double r477963 = r477961 - r477962;
        double r477964 = r477960 / r477963;
        double r477965 = t;
        double r477966 = r477965 - r477962;
        double r477967 = r477964 / r477966;
        return r477967;
}

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

Original7.7
Target8.5
Herbie2.3
\[\begin{array}{l} \mathbf{if}\;\frac{x}{\left(y - z\right) \cdot \left(t - z\right)} \lt 0.0:\\ \;\;\;\;\frac{\frac{x}{y - z}}{t - z}\\ \mathbf{else}:\\ \;\;\;\;x \cdot \frac{1}{\left(y - z\right) \cdot \left(t - z\right)}\\ \end{array}\]

Derivation

  1. Initial program 7.7

    \[\frac{x}{\left(y - z\right) \cdot \left(t - z\right)}\]
  2. Using strategy rm
  3. Applied associate-/r*2.3

    \[\leadsto \color{blue}{\frac{\frac{x}{y - z}}{t - z}}\]
  4. Final simplification2.3

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

Reproduce

herbie shell --seed 2019347 +o rules:numerics
(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))))