Average Error: 54.2 → 10.4
Time: 10.6s
Precision: binary64
\[\alpha \gt -1 \land \beta \gt -1 \land i \gt 1\]
\[\frac{\frac{\left(i \cdot \left(\left(\alpha + \beta\right) + i\right)\right) \cdot \left(\beta \cdot \alpha + i \cdot \left(\left(\alpha + \beta\right) + i\right)\right)}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right) - 1}\]
↓
\[\begin{array}{l} \mathbf{if}\;i \le 1.07604276124192808 \cdot 10^{115}:\\ \;\;\;\;\frac{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\alpha + \left(\beta + \left(i \cdot 2 + \sqrt{1}\right)\right)} \cdot \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)} \cdot e^{\log \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)}\right)}\right) \cdot \frac{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\\ \end{array}\]
\frac{\frac{\left(i \cdot \left(\left(\alpha + \beta\right) + i\right)\right) \cdot \left(\beta \cdot \alpha + i \cdot \left(\left(\alpha + \beta\right) + i\right)\right)}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right) - 1}
↓
\begin{array}{l}
\mathbf{if}\;i \le 1.07604276124192808 \cdot 10^{115}:\\
\;\;\;\;\frac{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\alpha + \left(\beta + \left(i \cdot 2 + \sqrt{1}\right)\right)} \cdot \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\\

\mathbf{else}:\\
\;\;\;\;\left(\frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)} \cdot e^{\log \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)}\right)}\right) \cdot \frac{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\\

\end{array}
double code(double alpha, double beta, double i) {
	return ((double) (((double) (((double) (((double) (i * ((double) (((double) (alpha + beta)) + i)))) * ((double) (((double) (beta * alpha)) + ((double) (i * ((double) (((double) (alpha + beta)) + i)))))))) / ((double) (((double) (((double) (alpha + beta)) + ((double) (2.0 * i)))) * ((double) (((double) (alpha + beta)) + ((double) (2.0 * i)))))))) / ((double) (((double) (((double) (((double) (alpha + beta)) + ((double) (2.0 * i)))) * ((double) (((double) (alpha + beta)) + ((double) (2.0 * i)))))) - 1.0))));
}
↓
double code(double alpha, double beta, double i) {
	double VAR;
	if ((i <= 1.076042761241928e+115)) {
		VAR = ((double) (((double) (((double) (((double) (((double) (i * ((double) (i + ((double) (alpha + beta)))))) + ((double) (alpha * beta)))) / ((double) (alpha + ((double) (beta + ((double) (((double) (i * 2.0)) + ((double) sqrt(1.0)))))))))) * ((double) (((double) (i / ((double) (alpha + ((double) (beta + ((double) (i * 2.0)))))))) * ((double) (((double) (i + ((double) (alpha + beta)))) / ((double) (alpha + ((double) (beta + ((double) (i * 2.0)))))))))))) / ((double) (((double) (alpha + ((double) (beta + ((double) (i * 2.0)))))) - ((double) sqrt(1.0))))));
	} else {
		VAR = ((double) (((double) (((double) (((double) (i + ((double) (alpha + beta)))) / ((double) (alpha + ((double) (beta + ((double) (i * 2.0)))))))) * ((double) exp(((double) log(((double) (i / ((double) (alpha + ((double) (beta + ((double) (i * 2.0)))))))))))))) * ((double) (((double) (((double) (i * 0.5)) + ((double) (((double) (0.125 * ((double) (1.0 / i)))) - ((double) (((double) sqrt(1.0)) * 0.25)))))) / ((double) (((double) (alpha + ((double) (beta + ((double) (i * 2.0)))))) - ((double) sqrt(1.0))))))));
	}
	return VAR;
}

Error

Bits error versus alpha

Bits error versus beta

Bits error versus i

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Split input into 2 regimes

  2. if i < 1.07604276124192808e115

    1. Initial program 37.7

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

    2. Simplified24.3

      \[\leadsto \color{blue}{\left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1\right)}}\]
    3. Using strategy rm

    4. Applied *-un-lft-identity24.3

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \frac{\color{blue}{1 \cdot \left(i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta\right)}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1\right)}\]

    5. Applied times-frac14.4

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \color{blue}{\left(\frac{1}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1}\right)}\]

    6. Applied associate-*r*14.4

      \[\leadsto \color{blue}{\left(\left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \frac{1}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1}}\]

    7. Simplified14.4

      \[\leadsto \color{blue}{\left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right)} \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1}\]
    8. Using strategy rm

    9. Applied add-sqr-sqrt14.4

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - \color{blue}{\sqrt{1} \cdot \sqrt{1}}}\]

    10. Applied difference-of-squares14.4

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\color{blue}{\left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) + \sqrt{1}\right) \cdot \left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}\right)}}\]

    11. Applied associate-/r*9.4

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \color{blue}{\frac{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) + \sqrt{1}}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}}\]

    12. Simplified9.4

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{\color{blue}{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\alpha + \left(\beta + \left(i \cdot 2 + \sqrt{1}\right)\right)}}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]
    13. Using strategy rm

    14. Applied associate-*r/9.4

      \[\leadsto \color{blue}{\frac{\left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\alpha + \left(\beta + \left(i \cdot 2 + \sqrt{1}\right)\right)}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}}\]

    15. Simplified9.4

      \[\leadsto \frac{\color{blue}{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\alpha + \left(\beta + \left(i \cdot 2 + \sqrt{1}\right)\right)} \cdot \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right)}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]

    if 1.07604276124192808e115 < i

    1. Initial program 64.0

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

    2. Simplified63.7

      \[\leadsto \color{blue}{\left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1\right)}}\]
    3. Using strategy rm

    4. Applied *-un-lft-identity63.7

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \frac{\color{blue}{1 \cdot \left(i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta\right)}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1\right)}\]

    5. Applied times-frac55.3

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \color{blue}{\left(\frac{1}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1}\right)}\]

    6. Applied associate-*r*55.3

      \[\leadsto \color{blue}{\left(\left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \left(i + \left(\alpha + \beta\right)\right)\right) \cdot \frac{1}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1}}\]

    7. Simplified55.3

      \[\leadsto \color{blue}{\left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right)} \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - 1}\]
    8. Using strategy rm

    9. Applied add-sqr-sqrt55.3

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) \cdot \left(\alpha + \left(\beta + i \cdot 2\right)\right) - \color{blue}{\sqrt{1} \cdot \sqrt{1}}}\]

    10. Applied difference-of-squares55.3

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\color{blue}{\left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) + \sqrt{1}\right) \cdot \left(\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}\right)}}\]

    11. Applied associate-/r*54.8

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \color{blue}{\frac{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) + \sqrt{1}}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}}\]

    12. Simplified54.8

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{\color{blue}{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\alpha + \left(\beta + \left(i \cdot 2 + \sqrt{1}\right)\right)}}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]

    13. Taylor expanded around inf 11.0

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{\color{blue}{\left(0.5 \cdot i + 0.125 \cdot \frac{{\left(\sqrt{1}\right)}^{2}}{i}\right) - 0.25 \cdot \sqrt{1}}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]

    14. Simplified11.0

      \[\leadsto \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{\color{blue}{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]
    15. Using strategy rm

    16. Applied add-exp-log16.1

      \[\leadsto \left(\frac{i}{\color{blue}{e^{\log \left(\alpha + \left(\beta + i \cdot 2\right)\right)}}} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]

    17. Applied add-exp-log15.9

      \[\leadsto \left(\frac{\color{blue}{e^{\log i}}}{e^{\log \left(\alpha + \left(\beta + i \cdot 2\right)\right)}} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]

    18. Applied div-exp15.9

      \[\leadsto \left(\color{blue}{e^{\log i - \log \left(\alpha + \left(\beta + i \cdot 2\right)\right)}} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]

    19. Simplified11.0

      \[\leadsto \left(e^{\color{blue}{\log \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)}\right)}} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right) \cdot \frac{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\]
  3. Recombined 2 regimes into one program.

  4. Final simplification10.4

    \[\leadsto \begin{array}{l} \mathbf{if}\;i \le 1.07604276124192808 \cdot 10^{115}:\\ \;\;\;\;\frac{\frac{i \cdot \left(i + \left(\alpha + \beta\right)\right) + \alpha \cdot \beta}{\alpha + \left(\beta + \left(i \cdot 2 + \sqrt{1}\right)\right)} \cdot \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)} \cdot \frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)}\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{i + \left(\alpha + \beta\right)}{\alpha + \left(\beta + i \cdot 2\right)} \cdot e^{\log \left(\frac{i}{\alpha + \left(\beta + i \cdot 2\right)}\right)}\right) \cdot \frac{i \cdot 0.5 + \left(0.125 \cdot \frac{1}{i} - \sqrt{1} \cdot 0.25\right)}{\left(\alpha + \left(\beta + i \cdot 2\right)\right) - \sqrt{1}}\\ \end{array}\]

Reproduce

herbie shell --seed 2020184 
(FPCore (alpha beta i)
  :name "Octave 3.8, jcobi/4"
  :precision binary64
  :pre (and (> alpha -1.0) (> beta -1.0) (> i 1.0))
  (/ (/ (* (* i (+ (+ alpha beta) i)) (+ (* beta alpha) (* i (+ (+ alpha beta) i)))) (* (+ (+ alpha beta) (* 2.0 i)) (+ (+ alpha beta) (* 2.0 i)))) (- (* (+ (+ alpha beta) (* 2.0 i)) (+ (+ alpha beta) (* 2.0 i))) 1.0)))