Average Error: 0.6 → 0.6
Time: 3.0s
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 r246925 = 1.0;
        double r246926 = x;
        double r246927 = y;
        double r246928 = z;
        double r246929 = r246927 - r246928;
        double r246930 = t;
        double r246931 = r246927 - r246930;
        double r246932 = r246929 * r246931;
        double r246933 = r246926 / r246932;
        double r246934 = r246925 - r246933;
        return r246934;
}

double f(double x, double y, double z, double t) {
        double r246935 = 1.0;
        double r246936 = x;
        double r246937 = y;
        double r246938 = z;
        double r246939 = r246937 - r246938;
        double r246940 = t;
        double r246941 = r246937 - r246940;
        double r246942 = r246939 * r246941;
        double r246943 = r246936 / r246942;
        double r246944 = r246935 - r246943;
        return r246944;
}

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 2019353 
(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)))))