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 r10612198 = x;
        double r10612199 = y;
        double r10612200 = r10612198 * r10612199;
        double r10612201 = r10612200 * r10612199;
        double r10612202 = exp(r10612201);
        return r10612202;
}
↓
double f(double x, double y) {
        double r10612203 = x;
        double r10612204 = y;
        double r10612205 = r10612203 * r10612204;
        double r10612206 = r10612205 * r10612204;
        double r10612207 = exp(r10612206);
        return r10612207;
}

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 2019158 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))