Average Error: 0.0 → 0.0
Time: 3.3s
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 r863944 = x;
        double r863945 = y;
        double r863946 = r863944 * r863945;
        double r863947 = r863946 * r863945;
        double r863948 = exp(r863947);
        return r863948;
}
↓
double f(double x, double y) {
        double r863949 = x;
        double r863950 = y;
        double r863951 = r863949 * r863950;
        double r863952 = r863951 * r863950;
        double r863953 = exp(r863952);
        return r863953;
}

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 2019198 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))