\[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
Test:
Octave 3.8, jcobi/3
Bits:
128 bits
Bits error versus alpha
Bits error versus beta
Time: 50.0 s
Input Error: 8.4
Output Error: 8.3
Log:
Profile: 🕒
\(\begin{cases} \frac{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\alpha + 1.0\right) + \left(2 + \beta\right)}}{\alpha + \left(2 + \beta\right)} & \text{when } \beta \le 1.0516358404724637 \cdot 10^{+204} \\ \frac{\sqrt{1.0} \cdot \left(\frac{1}{2} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{\beta \cdot \frac{1}{2}}{\sqrt{1.0}}\right)}{\left(\left(1.0 + \alpha\right) + \left(\beta + 2\right)\right) \cdot \left(\left(\beta + 2\right) + \alpha\right)} \cdot \frac{\sqrt{1.0} \cdot \left(\frac{1}{2} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{\beta \cdot \frac{1}{2}}{\sqrt{1.0}}\right)}{\left(\beta + 2\right) + \alpha} & \text{otherwise} \end{cases}\)

    if beta < 1.0516358404724637e+204

    1. Started with
      \[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
      1.8
    2. Applied simplify to get
      \[\color{red}{\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}} \leadsto \color{blue}{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}}\]
      2.8
    3. Using strategy rm
      2.8
    4. Applied associate-/r* to get
      \[\color{red}{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}} \leadsto \color{blue}{\frac{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\alpha + 1.0\right) + \left(2 + \beta\right)}}{\alpha + \left(2 + \beta\right)}}\]
      1.8

    if 1.0516358404724637e+204 < beta

    1. Started with
      \[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
      60.0
    2. Applied simplify to get
      \[\color{red}{\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}} \leadsto \color{blue}{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}}\]
      60.0
    3. Using strategy rm
      60.0
    4. Applied add-sqr-sqrt to get
      \[\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \color{red}{\left(\alpha + \left(2 + \beta\right)\right)}} \leadsto \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \color{blue}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}\]
      60.0
    5. Applied add-sqr-sqrt to get
      \[\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\color{red}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right)} \cdot {\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2} \leadsto \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\color{blue}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)}\right)}^2} \cdot {\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}\]
      60.0
    6. Applied square-unprod to get
      \[\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\color{red}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)}\right)}^2 \cdot {\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}} \leadsto \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\color{blue}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}\]
      60.0
    7. Applied add-sqr-sqrt to get
      \[\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\color{red}{\alpha + \left(2 + \beta\right)}}}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2} \leadsto \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\color{blue}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}\]
      60.0
    8. Applied add-sqr-sqrt to get
      \[\frac{\frac{\color{red}{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2} \leadsto \frac{\frac{\color{blue}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}\right)}^2}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}\]
      60.0
    9. Applied square-undiv to get
      \[\frac{\color{red}{\frac{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}\right)}^2}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2} \leadsto \frac{\color{blue}{{\left(\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}\right)}^2}}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}\]
      60.0
    10. Applied square-undiv to get
      \[\color{red}{\frac{{\left(\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}\right)}^2}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}} \leadsto \color{blue}{{\left(\frac{\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}}{\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}}\right)}^2}\]
      60.0
    11. Applied simplify to get
      \[{\color{red}{\left(\frac{\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}}{\sqrt{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \sqrt{\alpha + \left(2 + \beta\right)}}\right)}}^2 \leadsto {\color{blue}{\left(\frac{\sqrt{\left(\alpha \cdot \beta + 1.0\right) + \left(\beta + \alpha\right)}}{\sqrt{\left(2 + \beta\right) + \left(\alpha + 1.0\right)} \cdot \left(\left(\beta + \alpha\right) + 2\right)}\right)}}^2\]
      60.0
    12. Applied taylor to get
      \[{\left(\frac{\sqrt{\left(\alpha \cdot \beta + 1.0\right) + \left(\beta + \alpha\right)}}{\sqrt{\left(2 + \beta\right) + \left(\alpha + 1.0\right)} \cdot \left(\left(\beta + \alpha\right) + 2\right)}\right)}^2 \leadsto {\left(\frac{\frac{1}{2} \cdot \left(\sqrt{1.0} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{1}{2} \cdot \frac{\beta}{\sqrt{1.0}}\right)}{\sqrt{\left(2 + \beta\right) + \left(\alpha + 1.0\right)} \cdot \left(\left(\beta + \alpha\right) + 2\right)}\right)}^2\]
      58.4
    13. Taylor expanded around 0 to get
      \[{\left(\frac{\color{red}{\frac{1}{2} \cdot \left(\sqrt{1.0} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{1}{2} \cdot \frac{\beta}{\sqrt{1.0}}\right)}}{\sqrt{\left(2 + \beta\right) + \left(\alpha + 1.0\right)} \cdot \left(\left(\beta + \alpha\right) + 2\right)}\right)}^2 \leadsto {\left(\frac{\color{blue}{\frac{1}{2} \cdot \left(\sqrt{1.0} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{1}{2} \cdot \frac{\beta}{\sqrt{1.0}}\right)}}{\sqrt{\left(2 + \beta\right) + \left(\alpha + 1.0\right)} \cdot \left(\left(\beta + \alpha\right) + 2\right)}\right)}^2\]
      58.4
    14. Applied simplify to get
      \[{\left(\frac{\frac{1}{2} \cdot \left(\sqrt{1.0} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{1}{2} \cdot \frac{\beta}{\sqrt{1.0}}\right)}{\sqrt{\left(2 + \beta\right) + \left(\alpha + 1.0\right)} \cdot \left(\left(\beta + \alpha\right) + 2\right)}\right)}^2 \leadsto \frac{\left(\alpha \cdot \frac{1}{2}\right) \cdot \sqrt{1.0} + \left(\sqrt{1.0} + \frac{\frac{1}{2} \cdot \beta}{\sqrt{1.0}}\right)}{\left(2 + \left(\beta + \alpha\right)\right) \cdot \sqrt{\left(\beta + 2\right) + \left(1.0 + \alpha\right)}} \cdot \frac{\left(\alpha \cdot \frac{1}{2}\right) \cdot \sqrt{1.0} + \left(\sqrt{1.0} + \frac{\frac{1}{2} \cdot \beta}{\sqrt{1.0}}\right)}{\left(2 + \left(\beta + \alpha\right)\right) \cdot \sqrt{\left(\beta + 2\right) + \left(1.0 + \alpha\right)}}\]
      58.4

    15. Applied final simplification
    16. Applied simplify to get
      \[\color{red}{\frac{\left(\alpha \cdot \frac{1}{2}\right) \cdot \sqrt{1.0} + \left(\sqrt{1.0} + \frac{\frac{1}{2} \cdot \beta}{\sqrt{1.0}}\right)}{\left(2 + \left(\beta + \alpha\right)\right) \cdot \sqrt{\left(\beta + 2\right) + \left(1.0 + \alpha\right)}} \cdot \frac{\left(\alpha \cdot \frac{1}{2}\right) \cdot \sqrt{1.0} + \left(\sqrt{1.0} + \frac{\frac{1}{2} \cdot \beta}{\sqrt{1.0}}\right)}{\left(2 + \left(\beta + \alpha\right)\right) \cdot \sqrt{\left(\beta + 2\right) + \left(1.0 + \alpha\right)}}} \leadsto \color{blue}{\frac{\sqrt{1.0} \cdot \left(\frac{1}{2} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{\beta \cdot \frac{1}{2}}{\sqrt{1.0}}\right)}{\left(\left(1.0 + \alpha\right) + \left(\beta + 2\right)\right) \cdot \left(\left(\beta + 2\right) + \alpha\right)} \cdot \frac{\sqrt{1.0} \cdot \left(\frac{1}{2} \cdot \alpha\right) + \left(\sqrt{1.0} + \frac{\beta \cdot \frac{1}{2}}{\sqrt{1.0}}\right)}{\left(\beta + 2\right) + \alpha}}\]
      58.8

  1. Removed slow pow expressions

Original test:


(lambda ((alpha default) (beta default))
  #:name "Octave 3.8, jcobi/3"
  (/ (/ (/ (+ (+ (+ alpha beta) (* beta alpha)) 1.0) (+ (+ alpha beta) (* 2 1))) (+ (+ alpha beta) (* 2 1))) (+ (+ (+ alpha beta) (* 2 1)) 1.0)))