Average Error: 0.7 → 0.7
Time: 13.3s
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 r161234 = 1.0;
        double r161235 = x;
        double r161236 = y;
        double r161237 = z;
        double r161238 = r161236 - r161237;
        double r161239 = t;
        double r161240 = r161236 - r161239;
        double r161241 = r161238 * r161240;
        double r161242 = r161235 / r161241;
        double r161243 = r161234 - r161242;
        return r161243;
}
↓
double f(double x, double y, double z, double t) {
        double r161244 = 1.0;
        double r161245 = x;
        double r161246 = y;
        double r161247 = z;
        double r161248 = r161246 - r161247;
        double r161249 = t;
        double r161250 = r161246 - r161249;
        double r161251 = r161248 * r161250;
        double r161252 = r161245 / r161251;
        double r161253 = r161244 - r161252;
        return r161253;
}

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 2019325 
(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)))))