Average Error: 0.0 → 0.0
Time: 865.0ms
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 r280036 = x;
        double r280037 = y;
        double r280038 = r280036 * r280037;
        double r280039 = r280038 * r280037;
        double r280040 = exp(r280039);
        return r280040;
}
↓
double f(double x, double y) {
        double r280041 = x;
        double r280042 = y;
        double r280043 = r280041 * r280042;
        double r280044 = r280043 * r280042;
        double r280045 = exp(r280044);
        return r280045;
}

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 2020021 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))