Average Error: 52.6 → 36.4
Time: 5.6m
Precision: 64
Internal Precision: 128
\[\frac{\frac{\left(i \cdot \left(\left(\alpha + \beta\right) + i\right)\right) \cdot \left(\beta \cdot \alpha + i \cdot \left(\left(\alpha + \beta\right) + i\right)\right)}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right) - 1.0}\]
\[\frac{i + \beta}{\frac{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}{i + \alpha}} \cdot \frac{\frac{\frac{i + \left(\alpha + \beta\right)}{\frac{2 \cdot i + \left(\alpha + \beta\right)}{i}}}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)}\]

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. Initial program 52.6

    \[\frac{\frac{\left(i \cdot \left(\left(\alpha + \beta\right) + i\right)\right) \cdot \left(\beta \cdot \alpha + i \cdot \left(\left(\alpha + \beta\right) + i\right)\right)}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right) - 1.0}\]
  2. Initial simplification52.6

    \[\leadsto \frac{\frac{\left(\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)\right) \cdot \left(\left(\alpha + \beta\right) \cdot i + i \cdot i\right)}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right)}\]
  3. Using strategy rm
  4. Applied add-sqr-sqrt52.6

    \[\leadsto \frac{\frac{\left(\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)\right) \cdot \left(\left(\alpha + \beta\right) \cdot i + i \cdot i\right)}{\color{blue}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0} \cdot \sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right)}\]
  5. Applied times-frac38.8

    \[\leadsto \frac{\color{blue}{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}} \cdot \frac{\left(\alpha + \beta\right) \cdot i + i \cdot i}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right)}\]
  6. Applied times-frac38.8

    \[\leadsto \color{blue}{\frac{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)} \cdot \frac{\frac{\left(\alpha + \beta\right) \cdot i + i \cdot i}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)}}\]
  7. Simplified38.8

    \[\leadsto \frac{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)} \cdot \color{blue}{\frac{\frac{i + \left(\beta + \alpha\right)}{\frac{i \cdot 2 + \left(\beta + \alpha\right)}{i}}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}}\]
  8. Using strategy rm
  9. Applied associate-*l/38.8

    \[\leadsto \color{blue}{\frac{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}} \cdot \frac{\frac{i + \left(\beta + \alpha\right)}{\frac{i \cdot 2 + \left(\beta + \alpha\right)}{i}}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)}}\]
  10. Using strategy rm
  11. Applied *-un-lft-identity38.8

    \[\leadsto \frac{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}} \cdot \frac{\frac{i + \left(\beta + \alpha\right)}{\frac{i \cdot 2 + \left(\beta + \alpha\right)}{i}}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}}{\color{blue}{1 \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right)}}\]
  12. Applied times-frac38.8

    \[\leadsto \color{blue}{\frac{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{\sqrt{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}{1} \cdot \frac{\frac{\frac{i + \left(\beta + \alpha\right)}{\frac{i \cdot 2 + \left(\beta + \alpha\right)}{i}}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)}}\]
  13. Simplified38.8

    \[\leadsto \color{blue}{\frac{\alpha \cdot \left(\beta + i\right) + i \cdot \left(\beta + i\right)}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}} \cdot \frac{\frac{\frac{i + \left(\beta + \alpha\right)}{\frac{i \cdot 2 + \left(\beta + \alpha\right)}{i}}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)}\]
  14. Using strategy rm
  15. Applied distribute-rgt-out38.8

    \[\leadsto \frac{\color{blue}{\left(\beta + i\right) \cdot \left(\alpha + i\right)}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}} \cdot \frac{\frac{\frac{i + \left(\beta + \alpha\right)}{\frac{i \cdot 2 + \left(\beta + \alpha\right)}{i}}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)}\]
  16. Applied associate-/l*36.4

    \[\leadsto \color{blue}{\frac{\beta + i}{\frac{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}{\alpha + i}}} \cdot \frac{\frac{\frac{i + \left(\beta + \alpha\right)}{\frac{i \cdot 2 + \left(\beta + \alpha\right)}{i}}}{\sqrt{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}}{2 \cdot i + \left(\alpha + \beta\right)}\]
  17. Final simplification36.4

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

Runtime

Time bar (total: 5.6m)Debug logProfile

BaselineHerbieOracleSpan%
Regimes36.436.436.30.10%
herbie shell --seed 2018354 
(FPCore (alpha beta i)
  :name "Octave 3.8, jcobi/4"
  :pre (and (> alpha -1) (> beta -1) (> i 1))
  (/ (/ (* (* i (+ (+ alpha beta) i)) (+ (* beta alpha) (* i (+ (+ alpha beta) i)))) (* (+ (+ alpha beta) (* 2 i)) (+ (+ alpha beta) (* 2 i)))) (- (* (+ (+ alpha beta) (* 2 i)) (+ (+ alpha beta) (* 2 i))) 1.0)))