Average Error: 46.8 → 0.4
Time: 2.3s
Precision: binary64
\[i > 0\]
\[\frac{\frac{\left(i \cdot i\right) \cdot \left(i \cdot i\right)}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right)}}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right) - 1} \]
\[\frac{0.25}{4 - {\left(i \cdot i\right)}^{-1}} \]
\frac{\frac{\left(i \cdot i\right) \cdot \left(i \cdot i\right)}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right)}}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right) - 1}
\frac{0.25}{4 - {\left(i \cdot i\right)}^{-1}}
(FPCore (i)
 :precision binary64
 (/
  (/ (* (* i i) (* i i)) (* (* 2.0 i) (* 2.0 i)))
  (- (* (* 2.0 i) (* 2.0 i)) 1.0)))
(FPCore (i) :precision binary64 (/ 0.25 (- 4.0 (pow (* i i) -1.0))))
double code(double i) {
	return (((i * i) * (i * i)) / ((2.0 * i) * (2.0 * i))) / (((2.0 * i) * (2.0 * i)) - 1.0);
}
double code(double i) {
	return 0.25 / (4.0 - pow((i * i), -1.0));
}

Error

Bits error versus i

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 46.8

    \[\frac{\frac{\left(i \cdot i\right) \cdot \left(i \cdot i\right)}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right)}}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right) - 1} \]
  2. Simplified0.4

    \[\leadsto \color{blue}{\frac{0.25}{4 - \frac{1}{i \cdot i}}} \]
  3. Applied egg-rr0.4

    \[\leadsto \frac{0.25}{4 - \color{blue}{{\left(i \cdot i\right)}^{-1}}} \]
  4. Final simplification0.4

    \[\leadsto \frac{0.25}{4 - {\left(i \cdot i\right)}^{-1}} \]

Reproduce

herbie shell --seed 2022130 
(FPCore (i)
  :name "Octave 3.8, jcobi/4, as called"
  :precision binary64
  :pre (> i 0.0)
  (/ (/ (* (* i i) (* i i)) (* (* 2.0 i) (* 2.0 i))) (- (* (* 2.0 i) (* 2.0 i)) 1.0)))