Average Error: 0.0 → 0.0
Time: 654.0ms
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 r268263 = x;
        double r268264 = y;
        double r268265 = r268263 * r268264;
        double r268266 = r268265 * r268264;
        double r268267 = exp(r268266);
        return r268267;
}
↓
double f(double x, double y) {
        double r268268 = x;
        double r268269 = y;
        double r268270 = r268268 * r268269;
        double r268271 = r268270 * r268269;
        double r268272 = exp(r268271);
        return r268272;
}

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 2020049 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))