Average Error: 0.7 → 0.7
Time: 9.6s
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 r145133 = 1.0;
        double r145134 = x;
        double r145135 = y;
        double r145136 = z;
        double r145137 = r145135 - r145136;
        double r145138 = t;
        double r145139 = r145135 - r145138;
        double r145140 = r145137 * r145139;
        double r145141 = r145134 / r145140;
        double r145142 = r145133 - r145141;
        return r145142;
}
↓
double f(double x, double y, double z, double t) {
        double r145143 = 1.0;
        double r145144 = x;
        double r145145 = y;
        double r145146 = z;
        double r145147 = r145145 - r145146;
        double r145148 = t;
        double r145149 = r145145 - r145148;
        double r145150 = r145147 * r145149;
        double r145151 = r145144 / r145150;
        double r145152 = r145143 - r145151;
        return r145152;
}

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 2019305 +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)))))