Average Error: 0.0 → 0.0
Time: 691.0ms
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 r319540 = x;
        double r319541 = y;
        double r319542 = r319540 * r319541;
        double r319543 = r319542 * r319541;
        double r319544 = exp(r319543);
        return r319544;
}
↓
double f(double x, double y) {
        double r319545 = x;
        double r319546 = y;
        double r319547 = r319545 * r319546;
        double r319548 = r319547 * r319546;
        double r319549 = exp(r319548);
        return r319549;
}

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 2020036 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))