Average Error: 7.4 → 2.1
Time: 3.0s
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 r996259 = x;
        double r996260 = y;
        double r996261 = z;
        double r996262 = r996260 - r996261;
        double r996263 = t;
        double r996264 = r996263 - r996261;
        double r996265 = r996262 * r996264;
        double r996266 = r996259 / r996265;
        return r996266;
}

double f(double x, double y, double z, double t) {
        double r996267 = x;
        double r996268 = y;
        double r996269 = z;
        double r996270 = r996268 - r996269;
        double r996271 = r996267 / r996270;
        double r996272 = t;
        double r996273 = r996272 - r996269;
        double r996274 = r996271 / r996273;
        return r996274;
}

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

Original7.4
Target8.3
Herbie2.1
\[\begin{array}{l} \mathbf{if}\;\frac{x}{\left(y - z\right) \cdot \left(t - z\right)} \lt 0.0:\\ \;\;\;\;\frac{\frac{x}{y - z}}{t - z}\\ \mathbf{else}:\\ \;\;\;\;x \cdot \frac{1}{\left(y - z\right) \cdot \left(t - z\right)}\\ \end{array}\]

Derivation

  1. Initial program 7.4

    \[\frac{x}{\left(y - z\right) \cdot \left(t - z\right)}\]
  2. Using strategy rm
  3. Applied associate-/r*2.1

    \[\leadsto \color{blue}{\frac{\frac{x}{y - z}}{t - z}}\]
  4. Final simplification2.1

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

Reproduce

herbie shell --seed 2020057 
(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))))