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 r279061 = x;
        double r279062 = y;
        double r279063 = r279061 * r279062;
        double r279064 = r279063 * r279062;
        double r279065 = exp(r279064);
        return r279065;
}
↓
double f(double x, double y) {
        double r279066 = x;
        double r279067 = y;
        double r279068 = r279066 * r279067;
        double r279069 = r279068 * r279067;
        double r279070 = exp(r279069);
        return r279070;
}

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 2020047 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))