Average Error: 0.0 → 0.0
Time: 6.4s
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 r8287040 = x;
        double r8287041 = y;
        double r8287042 = r8287040 * r8287041;
        double r8287043 = r8287042 * r8287041;
        double r8287044 = exp(r8287043);
        return r8287044;
}
↓
double f(double x, double y) {
        double r8287045 = x;
        double r8287046 = y;
        double r8287047 = r8287045 * r8287046;
        double r8287048 = r8287047 * r8287046;
        double r8287049 = exp(r8287048);
        return r8287049;
}

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 2019163 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))