Average Error: 0.6 → 0.6
Time: 5.9s
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 r231456 = 1.0;
        double r231457 = x;
        double r231458 = y;
        double r231459 = z;
        double r231460 = r231458 - r231459;
        double r231461 = t;
        double r231462 = r231458 - r231461;
        double r231463 = r231460 * r231462;
        double r231464 = r231457 / r231463;
        double r231465 = r231456 - r231464;
        return r231465;
}
↓
double f(double x, double y, double z, double t) {
        double r231466 = 1.0;
        double r231467 = x;
        double r231468 = y;
        double r231469 = z;
        double r231470 = r231468 - r231469;
        double r231471 = t;
        double r231472 = r231468 - r231471;
        double r231473 = r231470 * r231472;
        double r231474 = r231467 / r231473;
        double r231475 = r231466 - r231474;
        return r231475;
}

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 2019304 
(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)))))