Average Error: 0.7 → 0.7
Time: 3.5s
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 r252775 = 1.0;
        double r252776 = x;
        double r252777 = y;
        double r252778 = z;
        double r252779 = r252777 - r252778;
        double r252780 = t;
        double r252781 = r252777 - r252780;
        double r252782 = r252779 * r252781;
        double r252783 = r252776 / r252782;
        double r252784 = r252775 - r252783;
        return r252784;
}
↓
double f(double x, double y, double z, double t) {
        double r252785 = 1.0;
        double r252786 = x;
        double r252787 = y;
        double r252788 = z;
        double r252789 = r252787 - r252788;
        double r252790 = t;
        double r252791 = r252787 - r252790;
        double r252792 = r252789 * r252791;
        double r252793 = r252786 / r252792;
        double r252794 = r252785 - r252793;
        return r252794;
}

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 2020033 +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)))))