Average Error: 0.6 → 0.6
Time: 10.9s
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 r271773 = 1.0;
        double r271774 = x;
        double r271775 = y;
        double r271776 = z;
        double r271777 = r271775 - r271776;
        double r271778 = t;
        double r271779 = r271775 - r271778;
        double r271780 = r271777 * r271779;
        double r271781 = r271774 / r271780;
        double r271782 = r271773 - r271781;
        return r271782;
}
↓
double f(double x, double y, double z, double t) {
        double r271783 = 1.0;
        double r271784 = x;
        double r271785 = y;
        double r271786 = z;
        double r271787 = r271785 - r271786;
        double r271788 = t;
        double r271789 = r271785 - r271788;
        double r271790 = r271787 * r271789;
        double r271791 = r271784 / r271790;
        double r271792 = r271783 - r271791;
        return r271792;
}

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 2019350 
(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)))))