Average Error: 0.0 → 0.0
Time: 702.0ms
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 r212348 = x;
        double r212349 = y;
        double r212350 = r212348 * r212349;
        double r212351 = r212350 * r212349;
        double r212352 = exp(r212351);
        return r212352;
}
↓
double f(double x, double y) {
        double r212353 = x;
        double r212354 = y;
        double r212355 = r212353 * r212354;
        double r212356 = r212355 * r212354;
        double r212357 = exp(r212356);
        return r212357;
}

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 2019353 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))