Average Error: 0.0 → 0.0
Time: 10.3s
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 r10807140 = x;
        double r10807141 = y;
        double r10807142 = r10807140 * r10807141;
        double r10807143 = r10807142 * r10807141;
        double r10807144 = exp(r10807143);
        return r10807144;
}
↓
double f(double x, double y) {
        double r10807145 = x;
        double r10807146 = y;
        double r10807147 = r10807145 * r10807146;
        double r10807148 = r10807147 * r10807146;
        double r10807149 = exp(r10807148);
        return r10807149;
}

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 2019168 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))