Average Error: 0.6 → 0.6
Time: 3.3s
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 r223744 = 1.0;
        double r223745 = x;
        double r223746 = y;
        double r223747 = z;
        double r223748 = r223746 - r223747;
        double r223749 = t;
        double r223750 = r223746 - r223749;
        double r223751 = r223748 * r223750;
        double r223752 = r223745 / r223751;
        double r223753 = r223744 - r223752;
        return r223753;
}

double f(double x, double y, double z, double t) {
        double r223754 = 1.0;
        double r223755 = x;
        double r223756 = y;
        double r223757 = z;
        double r223758 = r223756 - r223757;
        double r223759 = t;
        double r223760 = r223756 - r223759;
        double r223761 = r223758 * r223760;
        double r223762 = r223755 / r223761;
        double r223763 = r223754 - r223762;
        return r223763;
}

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 0.6

    \[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
  2. Final simplification0.6

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

Reproduce

herbie shell --seed 2019353 
(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)))))