Average Error: 0.7 → 0.7
Time: 10.2s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}
double f(double x, double y, double z, double t) {
        double r240747 = 1.0;
        double r240748 = x;
        double r240749 = y;
        double r240750 = z;
        double r240751 = r240749 - r240750;
        double r240752 = t;
        double r240753 = r240749 - r240752;
        double r240754 = r240751 * r240753;
        double r240755 = r240748 / r240754;
        double r240756 = r240747 - r240755;
        return r240756;
}
↓
double f(double x, double y, double z, double t) {
        double r240757 = 1.0;
        double r240758 = x;
        double r240759 = y;
        double r240760 = t;
        double r240761 = r240759 - r240760;
        double r240762 = z;
        double r240763 = r240759 - r240762;
        double r240764 = r240761 * r240763;
        double r240765 = r240758 / r240764;
        double r240766 = r240757 - r240765;
        return r240766;
}

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. Using strategy rm

  3. Applied *-commutative0.7

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

  4. Final simplification0.7

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

Reproduce

herbie shell --seed 2020045 +o rules:numerics
(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)))))