Average Error: 0.7 → 0.7
Time: 4.4s
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 r342797 = 1.0;
        double r342798 = x;
        double r342799 = y;
        double r342800 = z;
        double r342801 = r342799 - r342800;
        double r342802 = t;
        double r342803 = r342799 - r342802;
        double r342804 = r342801 * r342803;
        double r342805 = r342798 / r342804;
        double r342806 = r342797 - r342805;
        return r342806;
}
↓
double f(double x, double y, double z, double t) {
        double r342807 = 1.0;
        double r342808 = x;
        double r342809 = y;
        double r342810 = z;
        double r342811 = r342809 - r342810;
        double r342812 = t;
        double r342813 = r342809 - r342812;
        double r342814 = r342811 * r342813;
        double r342815 = r342808 / r342814;
        double r342816 = r342807 - r342815;
        return r342816;
}

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 2020046 
(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)))))