Average Error: 0.0 → 0.0
Time: 754.0ms
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 r251935 = x;
        double r251936 = y;
        double r251937 = r251935 * r251936;
        double r251938 = r251937 * r251936;
        double r251939 = exp(r251938);
        return r251939;
}
↓
double f(double x, double y) {
        double r251940 = x;
        double r251941 = y;
        double r251942 = r251940 * r251941;
        double r251943 = r251942 * r251941;
        double r251944 = exp(r251943);
        return r251944;
}

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 2019362 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))