Average Error: 0.0 → 0.0
Time: 5.5s
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 r12490111 = x;
        double r12490112 = y;
        double r12490113 = r12490111 * r12490112;
        double r12490114 = r12490113 * r12490112;
        double r12490115 = exp(r12490114);
        return r12490115;
}
↓
double f(double x, double y) {
        double r12490116 = x;
        double r12490117 = y;
        double r12490118 = r12490116 * r12490117;
        double r12490119 = r12490118 * r12490117;
        double r12490120 = exp(r12490119);
        return r12490120;
}

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 2019170 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))