Average Error: 0.1 → 0
Time: 3.8s
Precision: 64
\[\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\]
↓
\[{d1}^{4}\]
\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1
↓
{d1}^{4}
double f(double d1) {
        double r169917 = d1;
        double r169918 = r169917 * r169917;
        double r169919 = r169918 * r169917;
        double r169920 = r169919 * r169917;
        return r169920;
}
↓
double f(double d1) {
        double r169921 = d1;
        double r169922 = 4.0;
        double r169923 = pow(r169921, r169922);
        return r169923;
}

Error

Bits error versus d1

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.1
Target0
Herbie0
\[{d1}^{4}\]

Derivation

  1. Initial program 0.1

    \[\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\]

  2. Simplified0

    \[\leadsto \color{blue}{{d1}^{4}}\]

  3. Final simplification0

    \[\leadsto {d1}^{4}\]

Reproduce

herbie shell --seed 2019323 +o rules:numerics
(FPCore (d1)
  :name "FastMath repmul"
  :precision binary64

  :herbie-target
  (pow d1 4)

  (* (* (* d1 d1) d1) d1))