\[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
Test:
Octave 3.8, jcobi/3
Bits:
128 bits
Bits error versus alpha
Bits error versus beta
Time: 41.8 s
Input Error: 3.6
Output Error: 2.3
Log:
Profile: 🕒
\(\begin{cases} \frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot {\left(\frac{\sqrt{\beta + \left(\alpha \cdot \beta + \left(\alpha + 1.0\right)\right)}}{\left(2 + \alpha\right) + \beta}\right)}^2 & \text{when } \frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1} \le 1.752335950282756 \cdot 10^{+129} \\ \frac{0.25 \cdot \left(\alpha + \beta\right) + 0.5}{\left(\left(\alpha + \beta\right) + 2\right) \cdot \left(\left(\alpha + \beta\right) + \left(2 + 1.0\right)\right)} & \text{otherwise} \end{cases}\)

    if (/ (+ (+ (+ alpha beta) (* beta alpha)) 1.0) (+ (+ alpha beta) (* 2 1))) < 1.752335950282756e+129

    1. Started with
      \[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
      0.1
    2. Applied simplify to get
      \[\color{red}{\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}} \leadsto \color{blue}{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}}\]
      0.9
    3. Using strategy rm
      0.9
    4. Applied *-un-lft-identity to get
      \[\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\color{red}{\alpha + \left(2 + \beta\right)}}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)} \leadsto \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\color{blue}{1 \cdot \left(\alpha + \left(2 + \beta\right)\right)}}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}\]
      0.9
    5. Applied *-un-lft-identity to get
      \[\frac{\frac{\color{red}{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{1 \cdot \left(\alpha + \left(2 + \beta\right)\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)} \leadsto \frac{\frac{\color{blue}{1 \cdot \left(\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)\right)}}{1 \cdot \left(\alpha + \left(2 + \beta\right)\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}\]
      0.9
    6. Applied times-frac to get
      \[\frac{\color{red}{\frac{1 \cdot \left(\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)\right)}{1 \cdot \left(\alpha + \left(2 + \beta\right)\right)}}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)} \leadsto \frac{\color{blue}{\frac{1}{1} \cdot \frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}\]
      0.9
    7. Applied times-frac to get
      \[\color{red}{\frac{\frac{1}{1} \cdot \frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}} \leadsto \color{blue}{\frac{\frac{1}{1}}{\left(\alpha + 1.0\right) + \left(2 + \beta\right)} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\alpha + \left(2 + \beta\right)}}\]
      0.2
    8. Applied simplify to get
      \[\color{red}{\frac{\frac{1}{1}}{\left(\alpha + 1.0\right) + \left(2 + \beta\right)}} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\alpha + \left(2 + \beta\right)} \leadsto \color{blue}{\frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)}} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\alpha + \left(2 + \beta\right)}\]
      0.2
    9. Using strategy rm
      0.2
    10. Applied add-sqr-sqrt to get
      \[\frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\color{red}{\alpha + \left(2 + \beta\right)}} \leadsto \frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\color{blue}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}\]
      0.7
    11. Applied add-sqr-sqrt to get
      \[\frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\color{red}{\alpha + \left(2 + \beta\right)}}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2} \leadsto \frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\color{blue}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}\]
      1.2
    12. Applied add-sqr-sqrt to get
      \[\frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\frac{\color{red}{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2} \leadsto \frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\frac{\color{blue}{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}\right)}^2}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}\]
      1.1
    13. Applied square-undiv to get
      \[\frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\color{red}{\frac{{\left(\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}\right)}^2}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2} \leadsto \frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \frac{\color{blue}{{\left(\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}\right)}^2}}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}\]
      1.1
    14. Applied square-undiv to get
      \[\frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \color{red}{\frac{{\left(\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}\right)}^2}{{\left(\sqrt{\alpha + \left(2 + \beta\right)}\right)}^2}} \leadsto \frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot \color{blue}{{\left(\frac{\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}}{\sqrt{\alpha + \left(2 + \beta\right)}}\right)}^2}\]
      0.7
    15. Applied simplify to get
      \[\frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot {\color{red}{\left(\frac{\frac{\sqrt{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}}{\sqrt{\alpha + \left(2 + \beta\right)}}}{\sqrt{\alpha + \left(2 + \beta\right)}}\right)}}^2 \leadsto \frac{1}{\left(\beta + 1.0\right) + \left(\alpha + 2\right)} \cdot {\color{blue}{\left(\frac{\sqrt{\beta + \left(\alpha \cdot \beta + \left(\alpha + 1.0\right)\right)}}{\left(2 + \alpha\right) + \beta}\right)}}^2\]
      0.2

    if 1.752335950282756e+129 < (/ (+ (+ (+ alpha beta) (* beta alpha)) 1.0) (+ (+ alpha beta) (* 2 1)))

    1. Started with
      \[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
      62.8
    2. Applied simplify to get
      \[\color{red}{\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}} \leadsto \color{blue}{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}}\]
      62.9
    3. Applied taylor to get
      \[\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta + \beta \cdot \alpha\right)}{\alpha + \left(2 + \beta\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)} \leadsto \frac{0.25 \cdot \beta + \left(0.5 + 0.25 \cdot \alpha\right)}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}\]
      37.9
    4. Taylor expanded around 0 to get
      \[\frac{\color{red}{0.25 \cdot \beta + \left(0.5 + 0.25 \cdot \alpha\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)} \leadsto \frac{\color{blue}{0.25 \cdot \beta + \left(0.5 + 0.25 \cdot \alpha\right)}}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}\]
      37.9
    5. Applied simplify to get
      \[\color{red}{\frac{0.25 \cdot \beta + \left(0.5 + 0.25 \cdot \alpha\right)}{\left(\left(\alpha + 1.0\right) + \left(2 + \beta\right)\right) \cdot \left(\alpha + \left(2 + \beta\right)\right)}} \leadsto \color{blue}{\frac{0.25 \cdot \left(\alpha + \beta\right) + 0.5}{\left(\left(\alpha + \beta\right) + 2\right) \cdot \left(\left(\alpha + \beta\right) + \left(2 + 1.0\right)\right)}}\]
      37.9

  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)))