Average Error: 0.0 → 0.0
Time: 4.6s
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 r143256 = x;
        double r143257 = y;
        double r143258 = r143256 * r143257;
        double r143259 = r143258 * r143257;
        double r143260 = exp(r143259);
        return r143260;
}
↓
double f(double x, double y) {
        double r143261 = x;
        double r143262 = y;
        double r143263 = r143261 * r143262;
        double r143264 = r143263 * r143262;
        double r143265 = exp(r143264);
        return r143265;
}

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 2020047 +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)))