Average Error: 0.6 → 0.6
Time: 5.0s
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 r281447 = 1.0;
        double r281448 = x;
        double r281449 = y;
        double r281450 = z;
        double r281451 = r281449 - r281450;
        double r281452 = t;
        double r281453 = r281449 - r281452;
        double r281454 = r281451 * r281453;
        double r281455 = r281448 / r281454;
        double r281456 = r281447 - r281455;
        return r281456;
}
↓
double f(double x, double y, double z, double t) {
        double r281457 = 1.0;
        double r281458 = x;
        double r281459 = y;
        double r281460 = z;
        double r281461 = r281459 - r281460;
        double r281462 = t;
        double r281463 = r281459 - r281462;
        double r281464 = r281461 * r281463;
        double r281465 = r281458 / r281464;
        double r281466 = r281457 - r281465;
        return r281466;
}

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 2020060 
(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)))))