Average Error: 3.6 → 2.2
Time: 8.7m
Precision: 64
Internal Precision: 384
\[\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1.0}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1.0}\]
↓
\[\begin{array}{l} \mathbf{if}\;\beta \le 1.041666972563099 \cdot 10^{+161}:\\ \;\;\;\;\frac{\frac{\sqrt{\left(\beta \cdot \alpha + \beta\right) + \left(\alpha + 1.0\right)}}{\left(\beta + \alpha\right) + \left(1.0 + 2\right)} \cdot \frac{\sqrt{\left(\beta \cdot \alpha + \beta\right) + \left(\alpha + 1.0\right)}}{\left(2 + \alpha\right) + \beta}}{\left(2 + \alpha\right) + \beta}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array}\]

Error

Bits error versus alpha

Bits error versus beta

Derivation

  1. Split input into 2 regimes

  2. if beta < 1.041666972563099e+161

    1. Initial program 1.1

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

    2. Applied simplify8.2

      \[\leadsto \color{blue}{\frac{\left(\beta \cdot \alpha + \beta\right) + \left(\alpha + 1.0\right)}{\left(\left(\left(\beta + \alpha\right) + \left(1.0 + 2\right)\right) \cdot \left(\left(2 + \alpha\right) + \beta\right)\right) \cdot \left(\left(2 + \alpha\right) + \beta\right)}}\]
    3. Using strategy rm

    4. Applied associate-/r*1.9

      \[\leadsto \color{blue}{\frac{\frac{\left(\beta \cdot \alpha + \beta\right) + \left(\alpha + 1.0\right)}{\left(\left(\beta + \alpha\right) + \left(1.0 + 2\right)\right) \cdot \left(\left(2 + \alpha\right) + \beta\right)}}{\left(2 + \alpha\right) + \beta}}\]
    5. Using strategy rm

    6. Applied add-sqr-sqrt2.0

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

    7. Applied times-frac1.3

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

    if 1.041666972563099e+161 < beta

    1. Initial program 17.1

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

    2. Applied simplify18.0

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

    3. Taylor expanded around inf 7.4

      \[\leadsto \color{blue}{0}\]
  3. Recombined 2 regimes into one program.
  4. Removed slow pow expressions.

Runtime

Time bar (total: 8.7m)Debug logProfile

herbie shell --seed '#(1063154770 1824007522 645063331 41291047 494775821 1237684644)' 
(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)))