Average Error: 0.1 → 0.1
Time: 16.9s
Precision: 64
\[\left(x \cdot \log y - z\right) - y\]
↓
\[\left(x \cdot \log y - z\right) - y\]
\left(x \cdot \log y - z\right) - y
↓
\left(x \cdot \log y - z\right) - y
double f(double x, double y, double z) {
        double r31287 = x;
        double r31288 = y;
        double r31289 = log(r31288);
        double r31290 = r31287 * r31289;
        double r31291 = z;
        double r31292 = r31290 - r31291;
        double r31293 = r31292 - r31288;
        return r31293;
}
↓
double f(double x, double y, double z) {
        double r31294 = x;
        double r31295 = y;
        double r31296 = log(r31295);
        double r31297 = r31294 * r31296;
        double r31298 = z;
        double r31299 = r31297 - r31298;
        double r31300 = r31299 - r31295;
        return r31300;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.1

    \[\left(x \cdot \log y - z\right) - y\]

  2. Final simplification0.1

    \[\leadsto \left(x \cdot \log y - z\right) - y\]

Reproduce

herbie shell --seed 2019325 
(FPCore (x y z)
  :name "Statistics.Distribution.Poisson:$clogProbability from math-functions-0.1.5.2"
  :precision binary64
  (- (- (* x (log y)) z) y))