Average Error: 0.0 → 0.0
Time: 3.8s
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 r15773303 = x;
        double r15773304 = y;
        double r15773305 = r15773303 * r15773304;
        double r15773306 = r15773305 * r15773304;
        double r15773307 = exp(r15773306);
        return r15773307;
}
↓
double f(double x, double y) {
        double r15773308 = x;
        double r15773309 = y;
        double r15773310 = r15773308 * r15773309;
        double r15773311 = r15773310 * r15773309;
        double r15773312 = exp(r15773311);
        return r15773312;
}

Error

Bits error versus x

Bits error versus y

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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 2019174 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))