Average Error: 0.7 → 0.7
Time: 4.4s
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 r307064 = 1.0;
        double r307065 = x;
        double r307066 = y;
        double r307067 = z;
        double r307068 = r307066 - r307067;
        double r307069 = t;
        double r307070 = r307066 - r307069;
        double r307071 = r307068 * r307070;
        double r307072 = r307065 / r307071;
        double r307073 = r307064 - r307072;
        return r307073;
}
↓
double f(double x, double y, double z, double t) {
        double r307074 = 1.0;
        double r307075 = x;
        double r307076 = y;
        double r307077 = z;
        double r307078 = r307076 - r307077;
        double r307079 = t;
        double r307080 = r307076 - r307079;
        double r307081 = r307078 * r307080;
        double r307082 = r307075 / r307081;
        double r307083 = r307074 - r307082;
        return r307083;
}

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 
(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)))))