Average Error: 0.0 → 0.0
Time: 5.8s
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 r10423346 = x;
        double r10423347 = y;
        double r10423348 = r10423346 * r10423347;
        double r10423349 = r10423348 * r10423347;
        double r10423350 = exp(r10423349);
        return r10423350;
}

double f(double x, double y) {
        double r10423351 = x;
        double r10423352 = y;
        double r10423353 = r10423351 * r10423352;
        double r10423354 = r10423353 * r10423352;
        double r10423355 = exp(r10423354);
        return r10423355;
}

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 2019162 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))