Average Error: 0.4 → 0.4
Time: 4.2s
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 r215464 = 1.0;
        double r215465 = x;
        double r215466 = y;
        double r215467 = z;
        double r215468 = r215466 - r215467;
        double r215469 = t;
        double r215470 = r215466 - r215469;
        double r215471 = r215468 * r215470;
        double r215472 = r215465 / r215471;
        double r215473 = r215464 - r215472;
        return r215473;
}
↓
double f(double x, double y, double z, double t) {
        double r215474 = 1.0;
        double r215475 = x;
        double r215476 = y;
        double r215477 = z;
        double r215478 = r215476 - r215477;
        double r215479 = t;
        double r215480 = r215476 - r215479;
        double r215481 = r215478 * r215480;
        double r215482 = r215475 / r215481;
        double r215483 = r215474 - r215482;
        return r215483;
}

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 0.4

    \[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

  2. Final simplification0.4

    \[\leadsto 1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

Reproduce

herbie shell --seed 2020018 +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)))))