Average Error: 0.5 → 0.5
Time: 16.2s
Precision: 64
\[1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
\[1.0 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}\]
1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
1.0 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}
double f(double x, double y, double z, double t) {
        double r9490128 = 1.0;
        double r9490129 = x;
        double r9490130 = y;
        double r9490131 = z;
        double r9490132 = r9490130 - r9490131;
        double r9490133 = t;
        double r9490134 = r9490130 - r9490133;
        double r9490135 = r9490132 * r9490134;
        double r9490136 = r9490129 / r9490135;
        double r9490137 = r9490128 - r9490136;
        return r9490137;
}

double f(double x, double y, double z, double t) {
        double r9490138 = 1.0;
        double r9490139 = x;
        double r9490140 = y;
        double r9490141 = t;
        double r9490142 = r9490140 - r9490141;
        double r9490143 = z;
        double r9490144 = r9490140 - r9490143;
        double r9490145 = r9490142 * r9490144;
        double r9490146 = r9490139 / r9490145;
        double r9490147 = r9490138 - r9490146;
        return r9490147;
}

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

    \[1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
  2. Final simplification0.5

    \[\leadsto 1.0 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}\]

Reproduce

herbie shell --seed 2019168 
(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)))))