Average Error: 0.0 → 0.0
Time: 3.9s
Precision: 64
\[e^{\left(x \cdot y\right) \cdot y}\]
↓
\[e^{\left(x \cdot y\right) \cdot y}\]
e^{\left(x \cdot y\right) \cdot y}
↓
e^{\left(x \cdot y\right) \cdot y}
double f(double x, double y) {
        double r11491185 = x;
        double r11491186 = y;
        double r11491187 = r11491185 * r11491186;
        double r11491188 = r11491187 * r11491186;
        double r11491189 = exp(r11491188);
        return r11491189;
}
↓
double f(double x, double y) {
        double r11491190 = x;
        double r11491191 = y;
        double r11491192 = r11491190 * r11491191;
        double r11491193 = r11491192 * r11491191;
        double r11491194 = exp(r11491193);
        return r11491194;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[e^{\left(x \cdot y\right) \cdot y}\]

  2. Final simplification0.0

    \[\leadsto e^{\left(x \cdot y\right) \cdot y}\]

Reproduce

herbie shell --seed 2019179 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))