Average Error: 0.0 → 0.0
Time: 3.1s
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 r161562 = x;
        double r161563 = y;
        double r161564 = r161562 * r161563;
        double r161565 = r161564 * r161563;
        double r161566 = exp(r161565);
        return r161566;
}
↓
double f(double x, double y) {
        double r161567 = x;
        double r161568 = y;
        double r161569 = r161567 * r161568;
        double r161570 = r161569 * r161568;
        double r161571 = exp(r161570);
        return r161571;
}

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 2019195 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))