Average Error: 0.0 → 0.0
Time: 5.1s
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 r1369 = x;
        double r1370 = y;
        double r1371 = log(r1370);
        double r1372 = r1370 * r1371;
        double r1373 = r1369 + r1372;
        double r1374 = z;
        double r1375 = r1373 - r1374;
        double r1376 = exp(r1375);
        return r1376;
}
↓
double f(double x, double y, double z) {
        double r1377 = x;
        double r1378 = y;
        double r1379 = log(r1378);
        double r1380 = r1378 * r1379;
        double r1381 = r1377 + r1380;
        double r1382 = z;
        double r1383 = r1381 - r1382;
        double r1384 = exp(r1383);
        return r1384;
}

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 2020025 +o rules:numerics
(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)))