Average Error: 0.0 → 0.0
Time: 4.8s
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 r146480 = x;
        double r146481 = y;
        double r146482 = r146480 * r146481;
        double r146483 = r146482 * r146481;
        double r146484 = exp(r146483);
        return r146484;
}
↓
double f(double x, double y) {
        double r146485 = x;
        double r146486 = y;
        double r146487 = r146485 * r146486;
        double r146488 = r146487 * r146486;
        double r146489 = exp(r146488);
        return r146489;
}

Error

Bits error versus x

Bits error versus y

Try it out

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 2019199 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))