Average Error: 0.0 → 0.0
Time: 8.7s
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 r147249 = x;
        double r147250 = y;
        double r147251 = r147249 * r147250;
        double r147252 = r147251 * r147250;
        double r147253 = exp(r147252);
        return r147253;
}
↓
double f(double x, double y) {
        double r147254 = x;
        double r147255 = y;
        double r147256 = r147254 * r147255;
        double r147257 = r147256 * r147255;
        double r147258 = exp(r147257);
        return r147258;
}

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 2019323 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))