Average Error: 0.7 → 0.7
Time: 3.7s
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 r285253 = 1.0;
        double r285254 = x;
        double r285255 = y;
        double r285256 = z;
        double r285257 = r285255 - r285256;
        double r285258 = t;
        double r285259 = r285255 - r285258;
        double r285260 = r285257 * r285259;
        double r285261 = r285254 / r285260;
        double r285262 = r285253 - r285261;
        return r285262;
}
↓
double f(double x, double y, double z, double t) {
        double r285263 = 1.0;
        double r285264 = x;
        double r285265 = y;
        double r285266 = z;
        double r285267 = r285265 - r285266;
        double r285268 = t;
        double r285269 = r285265 - r285268;
        double r285270 = r285267 * r285269;
        double r285271 = r285264 / r285270;
        double r285272 = r285263 - r285271;
        return r285272;
}

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 2019354 +o rules:numerics
(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)))))