Average Error: 0.7 → 0.7
Time: 3.4s
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 r247120 = 1.0;
        double r247121 = x;
        double r247122 = y;
        double r247123 = z;
        double r247124 = r247122 - r247123;
        double r247125 = t;
        double r247126 = r247122 - r247125;
        double r247127 = r247124 * r247126;
        double r247128 = r247121 / r247127;
        double r247129 = r247120 - r247128;
        return r247129;
}
↓
double f(double x, double y, double z, double t) {
        double r247130 = 1.0;
        double r247131 = x;
        double r247132 = y;
        double r247133 = z;
        double r247134 = r247132 - r247133;
        double r247135 = t;
        double r247136 = r247132 - r247135;
        double r247137 = r247134 * r247136;
        double r247138 = r247131 / r247137;
        double r247139 = r247130 - r247138;
        return r247139;
}

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. Final simplification0.7

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

Reproduce

herbie shell --seed 2019354 
(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)))))