Average Error: 0.7 → 0.7
Time: 10.2s
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 r195453 = 1.0;
        double r195454 = x;
        double r195455 = y;
        double r195456 = z;
        double r195457 = r195455 - r195456;
        double r195458 = t;
        double r195459 = r195455 - r195458;
        double r195460 = r195457 * r195459;
        double r195461 = r195454 / r195460;
        double r195462 = r195453 - r195461;
        return r195462;
}
↓
double f(double x, double y, double z, double t) {
        double r195463 = 1.0;
        double r195464 = x;
        double r195465 = y;
        double r195466 = z;
        double r195467 = r195465 - r195466;
        double r195468 = t;
        double r195469 = r195465 - r195468;
        double r195470 = r195467 * r195469;
        double r195471 = r195464 / r195470;
        double r195472 = r195463 - r195471;
        return r195472;
}

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 
(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)))))