Average Error: 0.7 → 0.7
Time: 5.0s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
double f(double x, double y, double z, double t) {
        double r214891 = 1.0;
        double r214892 = x;
        double r214893 = y;
        double r214894 = z;
        double r214895 = r214893 - r214894;
        double r214896 = t;
        double r214897 = r214893 - r214896;
        double r214898 = r214895 * r214897;
        double r214899 = r214892 / r214898;
        double r214900 = r214891 - r214899;
        return r214900;
}
↓
double f(double x, double y, double z, double t) {
        double r214901 = 1.0;
        double r214902 = x;
        double r214903 = y;
        double r214904 = z;
        double r214905 = r214903 - r214904;
        double r214906 = t;
        double r214907 = r214903 - r214906;
        double r214908 = r214905 * r214907;
        double r214909 = r214902 / r214908;
        double r214910 = r214901 - r214909;
        return r214910;
}

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

Derivation

  1. Initial program 0.7

    \[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

  2. Final simplification0.7

    \[\leadsto 1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

Reproduce

herbie shell --seed 2020056 +o rules:numerics
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  :precision binary64
  (- 1 (/ x (* (- y z) (- y t)))))