Average Error: 0.0 → 0.0
Time: 9.9s
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 r10278594 = x;
        double r10278595 = y;
        double r10278596 = r10278594 * r10278595;
        double r10278597 = r10278596 * r10278595;
        double r10278598 = exp(r10278597);
        return r10278598;
}
↓
double f(double x, double y) {
        double r10278599 = x;
        double r10278600 = y;
        double r10278601 = r10278599 * r10278600;
        double r10278602 = r10278601 * r10278600;
        double r10278603 = exp(r10278602);
        return r10278603;
}

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 2019165 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))