Average Error: 0.7 → 0.7
Time: 15.0s
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 r204151 = 1.0;
        double r204152 = x;
        double r204153 = y;
        double r204154 = z;
        double r204155 = r204153 - r204154;
        double r204156 = t;
        double r204157 = r204153 - r204156;
        double r204158 = r204155 * r204157;
        double r204159 = r204152 / r204158;
        double r204160 = r204151 - r204159;
        return r204160;
}
↓
double f(double x, double y, double z, double t) {
        double r204161 = 1.0;
        double r204162 = x;
        double r204163 = y;
        double r204164 = t;
        double r204165 = r204163 - r204164;
        double r204166 = z;
        double r204167 = r204163 - r204166;
        double r204168 = r204165 * r204167;
        double r204169 = r204162 / r204168;
        double r204170 = r204161 - r204169;
        return r204170;
}

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 2019174 
(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)))))