Average Error: 0.0 → 0.0
Time: 6.9s
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 r9782535 = x;
        double r9782536 = y;
        double r9782537 = r9782535 * r9782536;
        double r9782538 = r9782537 * r9782536;
        double r9782539 = exp(r9782538);
        return r9782539;
}
↓
double f(double x, double y) {
        double r9782540 = x;
        double r9782541 = y;
        double r9782542 = r9782540 * r9782541;
        double r9782543 = r9782542 * r9782541;
        double r9782544 = exp(r9782543);
        return r9782544;
}

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 2019164 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))