Average Error: 0.6 → 0.6
Time: 4.3s
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 r188471 = 1.0;
        double r188472 = x;
        double r188473 = y;
        double r188474 = z;
        double r188475 = r188473 - r188474;
        double r188476 = t;
        double r188477 = r188473 - r188476;
        double r188478 = r188475 * r188477;
        double r188479 = r188472 / r188478;
        double r188480 = r188471 - r188479;
        return r188480;
}
↓
double f(double x, double y, double z, double t) {
        double r188481 = 1.0;
        double r188482 = x;
        double r188483 = y;
        double r188484 = z;
        double r188485 = r188483 - r188484;
        double r188486 = t;
        double r188487 = r188483 - r188486;
        double r188488 = r188485 * r188487;
        double r188489 = r188482 / r188488;
        double r188490 = r188481 - r188489;
        return r188490;
}

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 2019353 +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)))))