Average Error: 0.7 → 0.7
Time: 18.4s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}
double f(double x, double y, double z, double t) {
        double r13051034 = 1.0;
        double r13051035 = x;
        double r13051036 = y;
        double r13051037 = z;
        double r13051038 = r13051036 - r13051037;
        double r13051039 = t;
        double r13051040 = r13051036 - r13051039;
        double r13051041 = r13051038 * r13051040;
        double r13051042 = r13051035 / r13051041;
        double r13051043 = r13051034 - r13051042;
        return r13051043;
}
↓
double f(double x, double y, double z, double t) {
        double r13051044 = 1.0;
        double r13051045 = x;
        double r13051046 = y;
        double r13051047 = t;
        double r13051048 = r13051046 - r13051047;
        double r13051049 = z;
        double r13051050 = r13051046 - r13051049;
        double r13051051 = r13051048 * r13051050;
        double r13051052 = r13051045 / r13051051;
        double r13051053 = r13051044 - r13051052;
        return r13051053;
}

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

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

Reproduce

herbie shell --seed 2019171 
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  (- 1.0 (/ x (* (- y z) (- y t)))))