Average Error: 0.0 → 0.0
Time: 660.0ms
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 r172461 = x;
        double r172462 = y;
        double r172463 = r172461 * r172462;
        double r172464 = r172463 * r172462;
        double r172465 = exp(r172464);
        return r172465;
}

double f(double x, double y) {
        double r172466 = x;
        double r172467 = y;
        double r172468 = r172466 * r172467;
        double r172469 = r172468 * r172467;
        double r172470 = exp(r172469);
        return r172470;
}

Error

Bits error versus x

Bits error versus y

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Your Program's Arguments

Results

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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 2020062 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))