Average Error: 0.0 → 0.0
Time: 747.0ms
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 r192308 = x;
        double r192309 = y;
        double r192310 = r192308 * r192309;
        double r192311 = r192310 * r192309;
        double r192312 = exp(r192311);
        return r192312;
}
↓
double f(double x, double y) {
        double r192313 = x;
        double r192314 = y;
        double r192315 = r192313 * r192314;
        double r192316 = r192315 * r192314;
        double r192317 = exp(r192316);
        return r192317;
}

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 2020002 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))