Average Error: 0.6 → 0.6
Time: 17.2s
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 r179601 = 1.0;
        double r179602 = x;
        double r179603 = y;
        double r179604 = z;
        double r179605 = r179603 - r179604;
        double r179606 = t;
        double r179607 = r179603 - r179606;
        double r179608 = r179605 * r179607;
        double r179609 = r179602 / r179608;
        double r179610 = r179601 - r179609;
        return r179610;
}
↓
double f(double x, double y, double z, double t) {
        double r179611 = 1.0;
        double r179612 = x;
        double r179613 = y;
        double r179614 = z;
        double r179615 = r179613 - r179614;
        double r179616 = t;
        double r179617 = r179613 - r179616;
        double r179618 = r179615 * r179617;
        double r179619 = r179612 / r179618;
        double r179620 = r179611 - r179619;
        return r179620;
}

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 2019304 
(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)))))