Average Error: 0.0 → 0.0
Time: 2.7s
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 r212381 = x;
        double r212382 = y;
        double r212383 = r212381 * r212382;
        double r212384 = r212383 * r212382;
        double r212385 = exp(r212384);
        return r212385;
}
↓
double f(double x, double y) {
        double r212386 = x;
        double r212387 = y;
        double r212388 = r212386 * r212387;
        double r212389 = r212388 * r212387;
        double r212390 = exp(r212389);
        return r212390;
}

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 2019179 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))