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 r14073781 = x;
        double r14073782 = y;
        double r14073783 = r14073781 * r14073782;
        double r14073784 = r14073783 * r14073782;
        double r14073785 = exp(r14073784);
        return r14073785;
}
↓
double f(double x, double y) {
        double r14073786 = x;
        double r14073787 = y;
        double r14073788 = r14073786 * r14073787;
        double r14073789 = r14073788 * r14073787;
        double r14073790 = exp(r14073789);
        return r14073790;
}

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 2019164 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))