Average Error: 0.6 → 0.6
Time: 16.9s
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 r206392 = 1.0;
        double r206393 = x;
        double r206394 = y;
        double r206395 = z;
        double r206396 = r206394 - r206395;
        double r206397 = t;
        double r206398 = r206394 - r206397;
        double r206399 = r206396 * r206398;
        double r206400 = r206393 / r206399;
        double r206401 = r206392 - r206400;
        return r206401;
}
↓
double f(double x, double y, double z, double t) {
        double r206402 = 1.0;
        double r206403 = x;
        double r206404 = y;
        double r206405 = z;
        double r206406 = r206404 - r206405;
        double r206407 = t;
        double r206408 = r206404 - r206407;
        double r206409 = r206406 * r206408;
        double r206410 = r206403 / r206409;
        double r206411 = r206402 - r206410;
        return r206411;
}

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 2019304 +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)))))