Average Error: 0.0 → 0.0
Time: 6.5s
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 r279157 = x;
        double r279158 = y;
        double r279159 = r279157 * r279158;
        double r279160 = r279159 * r279158;
        double r279161 = exp(r279160);
        return r279161;
}
↓
double f(double x, double y) {
        double r279162 = x;
        double r279163 = y;
        double r279164 = r279162 * r279163;
        double r279165 = r279164 * r279163;
        double r279166 = exp(r279165);
        return r279166;
}

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 2020046 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))