Average Error: 47.0 → 0.1
Time: 1.5s
Precision: binary64
\[i > 0\]
\[\frac{\frac{\left(i \cdot i\right) \cdot \left(i \cdot i\right)}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right)}}{\left(2 \cdot i\right) \cdot \left(2 \cdot i\right) - 1}\]
↓
\[\frac{0.5}{2 + \frac{1}{i}} \cdot \frac{0.5}{2 - \frac{1}{i}}\]
\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 + \frac{1}{i}} \cdot \frac{0.5}{2 - \frac{1}{i}}
(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 (/ 1.0 i))) (/ 0.5 (- 2.0 (/ 1.0 i)))))
double code(double i) {
	return ((((double) (((double) (i * i)) * ((double) (i * i)))) / ((double) (((double) (2.0 * i)) * ((double) (2.0 * i))))) / ((double) (((double) (((double) (2.0 * i)) * ((double) (2.0 * i)))) - 1.0)));
}
↓
double code(double i) {
	return ((double) ((0.5 / ((double) (2.0 + (1.0 / i)))) * (0.5 / ((double) (2.0 - (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 47.0

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

  2. Simplified0.3

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

  4. Applied add-sqr-sqrt_binary640.3

    \[\leadsto \frac{0.25}{4 - \frac{\color{blue}{\sqrt{1} \cdot \sqrt{1}}}{i \cdot i}}\]

  5. Applied times-frac_binary640.4

    \[\leadsto \frac{0.25}{4 - \color{blue}{\frac{\sqrt{1}}{i} \cdot \frac{\sqrt{1}}{i}}}\]

  6. Applied add-sqr-sqrt_binary640.4

    \[\leadsto \frac{0.25}{\color{blue}{\sqrt{4} \cdot \sqrt{4}} - \frac{\sqrt{1}}{i} \cdot \frac{\sqrt{1}}{i}}\]

  7. Applied difference-of-squares_binary640.4

    \[\leadsto \frac{0.25}{\color{blue}{\left(\sqrt{4} + \frac{\sqrt{1}}{i}\right) \cdot \left(\sqrt{4} - \frac{\sqrt{1}}{i}\right)}}\]

  8. Applied add-sqr-sqrt_binary640.4

    \[\leadsto \frac{\color{blue}{\sqrt{0.25} \cdot \sqrt{0.25}}}{\left(\sqrt{4} + \frac{\sqrt{1}}{i}\right) \cdot \left(\sqrt{4} - \frac{\sqrt{1}}{i}\right)}\]

  9. Applied times-frac_binary640.1

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

  10. Simplified0.1

    \[\leadsto \color{blue}{\frac{0.5}{2 + \frac{1}{i}}} \cdot \frac{\sqrt{0.25}}{\sqrt{4} - \frac{\sqrt{1}}{i}}\]

  11. Simplified0.1

    \[\leadsto \frac{0.5}{2 + \frac{1}{i}} \cdot \color{blue}{\frac{0.5}{2 - \frac{1}{i}}}\]

  12. Final simplification0.1

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

Reproduce

herbie shell --seed 2020219 
(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)))