Average Error: 0.0 → 0.0
Time: 2.9s
Precision: 64
\[e^{\left(x + y \cdot \log y\right) - z}\]
\[e^{\left(x + y \cdot \log y\right) - z}\]
e^{\left(x + y \cdot \log y\right) - z}
e^{\left(x + y \cdot \log y\right) - z}
double f(double x, double y, double z) {
        double r366366 = x;
        double r366367 = y;
        double r366368 = log(r366367);
        double r366369 = r366367 * r366368;
        double r366370 = r366366 + r366369;
        double r366371 = z;
        double r366372 = r366370 - r366371;
        double r366373 = exp(r366372);
        return r366373;
}

double f(double x, double y, double z) {
        double r366374 = x;
        double r366375 = y;
        double r366376 = log(r366375);
        double r366377 = r366375 * r366376;
        double r366378 = r366374 + r366377;
        double r366379 = z;
        double r366380 = r366378 - r366379;
        double r366381 = exp(r366380);
        return r366381;
}

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

Target

Original0.0
Target0.0
Herbie0.0
\[e^{\left(x - z\right) + \log y \cdot y}\]

Derivation

  1. Initial program 0.0

    \[e^{\left(x + y \cdot \log y\right) - z}\]
  2. Final simplification0.0

    \[\leadsto e^{\left(x + y \cdot \log y\right) - z}\]

Reproduce

herbie shell --seed 2020065 
(FPCore (x y z)
  :name "Statistics.Distribution.Poisson.Internal:probability from math-functions-0.1.5.2"
  :precision binary64

  :herbie-target
  (exp (+ (- x z) (* (log y) y)))

  (exp (- (+ x (* y (log y))) z)))