Average Error: 46.4 → 0.1
Time: 1.9s
Precision: binary64
\[i > 0\]
\[\frac{\frac{\left(i \cdot i\right) \cdot \left(i \cdot i\right)}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right)}}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right) - 1}\]
\[\frac{0.5}{2 + \left|\frac{1}{i}\right|} \cdot \frac{0.5}{2 - \left|\frac{1}{i}\right|}\]
\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{0.5}{2 + \left|\frac{1}{i}\right|} \cdot \frac{0.5}{2 - \left|\frac{1}{i}\right|}
(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
 (* (/ 0.5 (+ 2.0 (fabs (/ 1.0 i)))) (/ 0.5 (- 2.0 (fabs (/ 1.0 i))))))
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 (0.5 / (2.0 + fabs(1.0 / i))) * (0.5 / (2.0 - fabs(1.0 / i)));
}

Error

Bits error versus i

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 46.4

    \[\frac{\frac{\left(i \cdot i\right) \cdot \left(i \cdot i\right)}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right)}}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right) - 1}\]
  2. Simplified0.3

    \[\leadsto \color{blue}{\frac{0.25}{4 - \frac{1}{i \cdot i}}}\]
  3. Using strategy rm
  4. Applied add-sqr-sqrt_binary64_21460.4

    \[\leadsto \frac{0.25}{4 - \color{blue}{\sqrt{\frac{1}{i \cdot i}} \cdot \sqrt{\frac{1}{i \cdot i}}}}\]
  5. Applied add-sqr-sqrt_binary64_21460.4

    \[\leadsto \frac{0.25}{\color{blue}{\sqrt{4} \cdot \sqrt{4}} - \sqrt{\frac{1}{i \cdot i}} \cdot \sqrt{\frac{1}{i \cdot i}}}\]
  6. Applied difference-of-squares_binary64_20930.4

    \[\leadsto \frac{0.25}{\color{blue}{\left(\sqrt{4} + \sqrt{\frac{1}{i \cdot i}}\right) \cdot \left(\sqrt{4} - \sqrt{\frac{1}{i \cdot i}}\right)}}\]
  7. Applied add-sqr-sqrt_binary64_21460.4

    \[\leadsto \frac{\color{blue}{\sqrt{0.25} \cdot \sqrt{0.25}}}{\left(\sqrt{4} + \sqrt{\frac{1}{i \cdot i}}\right) \cdot \left(\sqrt{4} - \sqrt{\frac{1}{i \cdot i}}\right)}\]
  8. Applied times-frac_binary64_21300.3

    \[\leadsto \color{blue}{\frac{\sqrt{0.25}}{\sqrt{4} + \sqrt{\frac{1}{i \cdot i}}} \cdot \frac{\sqrt{0.25}}{\sqrt{4} - \sqrt{\frac{1}{i \cdot i}}}}\]
  9. Simplified0.3

    \[\leadsto \color{blue}{\frac{0.5}{2 + \left|\frac{1}{i}\right|}} \cdot \frac{\sqrt{0.25}}{\sqrt{4} - \sqrt{\frac{1}{i \cdot i}}}\]
  10. Simplified0.1

    \[\leadsto \frac{0.5}{2 + \left|\frac{1}{i}\right|} \cdot \color{blue}{\frac{0.5}{2 - \left|\frac{1}{i}\right|}}\]
  11. Final simplification0.1

    \[\leadsto \frac{0.5}{2 + \left|\frac{1}{i}\right|} \cdot \frac{0.5}{2 - \left|\frac{1}{i}\right|}\]

Reproduce

herbie shell --seed 2020355 
(FPCore (i)
  :name "Octave 3.8, jcobi/4, as called"
  :precision binary64
  :pre (and (> i 0.0))
  (/ (/ (* (* i i) (* i i)) (* (* 2.0 i) (* 2.0 i))) (- (* (* 2.0 i) (* 2.0 i)) 1.0)))