Average Error: 0.7 → 0.7
Time: 37.1s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{1}{\frac{\left(y - z\right) \cdot \left(y - t\right)}{x}}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{1}{\frac{\left(y - z\right) \cdot \left(y - t\right)}{x}}
double f(double x, double y, double z, double t) {
        double r193835 = 1.0;
        double r193836 = x;
        double r193837 = y;
        double r193838 = z;
        double r193839 = r193837 - r193838;
        double r193840 = t;
        double r193841 = r193837 - r193840;
        double r193842 = r193839 * r193841;
        double r193843 = r193836 / r193842;
        double r193844 = r193835 - r193843;
        return r193844;
}
↓
double f(double x, double y, double z, double t) {
        double r193845 = 1.0;
        double r193846 = 1.0;
        double r193847 = y;
        double r193848 = z;
        double r193849 = r193847 - r193848;
        double r193850 = t;
        double r193851 = r193847 - r193850;
        double r193852 = r193849 * r193851;
        double r193853 = x;
        double r193854 = r193852 / r193853;
        double r193855 = r193846 / r193854;
        double r193856 = r193845 - r193855;
        return r193856;
}

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 clear-num0.7

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

  4. Final simplification0.7

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

Reproduce

herbie shell --seed 2019199 +o rules:numerics
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  (- 1.0 (/ x (* (- y z) (- y t)))))