Average Error: 0.0 → 0.0
Time: 5.6s
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 r13965200 = x;
        double r13965201 = y;
        double r13965202 = r13965200 * r13965201;
        double r13965203 = r13965202 * r13965201;
        double r13965204 = exp(r13965203);
        return r13965204;
}
↓
double f(double x, double y) {
        double r13965205 = x;
        double r13965206 = y;
        double r13965207 = r13965205 * r13965206;
        double r13965208 = r13965207 * r13965206;
        double r13965209 = exp(r13965208);
        return r13965209;
}

Error

Bits error versus x

Bits error versus y

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