Average Error: 0.0 → 0.0
Time: 9.3s
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 r12818773 = x;
        double r12818774 = y;
        double r12818775 = r12818773 * r12818774;
        double r12818776 = r12818775 * r12818774;
        double r12818777 = exp(r12818776);
        return r12818777;
}
↓
double f(double x, double y) {
        double r12818778 = x;
        double r12818779 = y;
        double r12818780 = r12818778 * r12818779;
        double r12818781 = r12818780 * r12818779;
        double r12818782 = exp(r12818781);
        return r12818782;
}

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 2019171 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))