Average Error: 0.5 → 0.5
Time: 9.1s
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 r206629 = 1.0;
        double r206630 = x;
        double r206631 = y;
        double r206632 = z;
        double r206633 = r206631 - r206632;
        double r206634 = t;
        double r206635 = r206631 - r206634;
        double r206636 = r206633 * r206635;
        double r206637 = r206630 / r206636;
        double r206638 = r206629 - r206637;
        return r206638;
}
↓
double f(double x, double y, double z, double t) {
        double r206639 = 1.0;
        double r206640 = x;
        double r206641 = y;
        double r206642 = z;
        double r206643 = r206641 - r206642;
        double r206644 = t;
        double r206645 = r206641 - r206644;
        double r206646 = r206643 * r206645;
        double r206647 = r206640 / r206646;
        double r206648 = r206639 - r206647;
        return r206648;
}

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 0.5

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

  2. Final simplification0.5

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

Reproduce

herbie shell --seed 2019294 
(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)))))