Average Error: 0.0 → 0.0
Time: 5.0s
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 r275159 = x;
        double r275160 = y;
        double r275161 = r275159 * r275160;
        double r275162 = r275161 * r275160;
        double r275163 = exp(r275162);
        return r275163;
}
↓
double f(double x, double y) {
        double r275164 = x;
        double r275165 = y;
        double r275166 = r275164 * r275165;
        double r275167 = r275166 * r275165;
        double r275168 = exp(r275167);
        return r275168;
}

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 2020047 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))