Average Error: 10.5 → 10.4
Time: 1.6m
Precision: 64
Internal precision: 128
\[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
\[\begin{array}{l} \mathbf{if}\;\alpha \le 1.4121013280836876 \cdot 10^{+163}:\\ \;\;\;\;\frac{1}{2 + \left(\beta + \alpha\right)} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)}{\left(\alpha + 2\right) + \beta}}{\left(2 + \beta\right) + \left(\alpha + 1.0\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25 \cdot \left(\beta + \alpha\right) + 0.5}{\left(\alpha + \left(2 + \beta\right)\right) \cdot \left(\left(1.0 + \alpha\right) + \left(2 + \beta\right)\right)}\\ \end{array}\]

Error

Bits error versus alpha

Bits error versus beta

Derivation

  1. Split input into 2 regimes.
  2. if alpha < 1.4121013280836876e+163

    1. Initial program 1.3

      \[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
    2. Applied simplify 2.2

      \[\leadsto \color{blue}{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)}{\left(\alpha + 2\right) + \beta}}{\left(\left(\alpha + 2\right) + \beta\right) \cdot \left(\left(2 + \beta\right) + \left(\alpha + 1.0\right)\right)}}\]
    3. Using strategy rm
    4. Applied *-un-lft-identity 2.2

      \[\leadsto \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)}{\color{blue}{1 \cdot \left(\left(\alpha + 2\right) + \beta\right)}}}{\left(\left(\alpha + 2\right) + \beta\right) \cdot \left(\left(2 + \beta\right) + \left(\alpha + 1.0\right)\right)}\]
    5. Applied *-un-lft-identity 2.2

      \[\leadsto \frac{\frac{\color{blue}{1 \cdot \left(\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)\right)}}{1 \cdot \left(\left(\alpha + 2\right) + \beta\right)}}{\left(\left(\alpha + 2\right) + \beta\right) \cdot \left(\left(2 + \beta\right) + \left(\alpha + 1.0\right)\right)}\]
    6. Applied times-frac 2.2

      \[\leadsto \frac{\color{blue}{\frac{1}{1} \cdot \frac{\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)}{\left(\alpha + 2\right) + \beta}}}{\left(\left(\alpha + 2\right) + \beta\right) \cdot \left(\left(2 + \beta\right) + \left(\alpha + 1.0\right)\right)}\]
    7. Applied times-frac 1.4

      \[\leadsto \color{blue}{\frac{\frac{1}{1}}{\left(\alpha + 2\right) + \beta} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)}{\left(\alpha + 2\right) + \beta}}{\left(2 + \beta\right) + \left(\alpha + 1.0\right)}}\]
    8. Applied simplify 1.4

      \[\leadsto \color{blue}{\frac{1}{2 + \left(\beta + \alpha\right)}} \cdot \frac{\frac{\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)}{\left(\alpha + 2\right) + \beta}}{\left(2 + \beta\right) + \left(\alpha + 1.0\right)}\]

    if 1.4121013280836876e+163 < alpha

    1. Initial program 60.3

      \[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
    2. Applied simplify 60.3

      \[\leadsto \color{blue}{\frac{\frac{\left(\alpha + 1.0\right) + \left(\beta \cdot \alpha + \beta\right)}{\left(\alpha + 2\right) + \beta}}{\left(\left(\alpha + 2\right) + \beta\right) \cdot \left(\left(2 + \beta\right) + \left(\alpha + 1.0\right)\right)}}\]
    3. Applied taylor 59.3

      \[\leadsto \frac{0.25 \cdot \beta + \left(0.5 + 0.25 \cdot \alpha\right)}{\left(\left(\alpha + 2\right) + \beta\right) \cdot \left(\left(2 + \beta\right) + \left(\alpha + 1.0\right)\right)}\]
    4. Taylor expanded around 0 59.3

      \[\leadsto \frac{\color{blue}{0.25 \cdot \beta + \left(0.5 + 0.25 \cdot \alpha\right)}}{\left(\left(\alpha + 2\right) + \beta\right) \cdot \left(\left(2 + \beta\right) + \left(\alpha + 1.0\right)\right)}\]
    5. Applied simplify 59.3

      \[\leadsto \color{blue}{\frac{0.25 \cdot \left(\beta + \alpha\right) + 0.5}{\left(\alpha + \left(2 + \beta\right)\right) \cdot \left(\left(1.0 + \alpha\right) + \left(2 + \beta\right)\right)}}\]
  3. Recombined 2 regimes into one program.
  4. Removed slow pow expressions

Runtime

Time bar (total: 1.6m) Debug log

Please include this information when filing a bug report:

herbie --seed '#(2269281169 2100121522 1918668845 2444134882 3707986529 2154161493)'
(FPCore (alpha beta)
  :name "Octave 3.8, jcobi/3"
  :pre (and (> alpha -1) (> beta -1))
  (/ (/ (/ (+ (+ (+ alpha beta) (* beta alpha)) 1.0) (+ (+ alpha beta) (* 2 1))) (+ (+ alpha beta) (* 2 1))) (+ (+ (+ alpha beta) (* 2 1)) 1.0)))