Average Error: 52.3 → 36.6
Time: 2.5m
Precision: 64
Internal Precision: 320
\[\frac{\frac{\left(i \cdot \left(\left(\alpha + \beta\right) + i\right)\right) \cdot \left(\beta \cdot \alpha + i \cdot \left(\left(\alpha + \beta\right) + i\right)\right)}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right) - 1.0}\]
\[\left(\frac{i + \beta}{\left(\beta + \alpha\right) + 2 \cdot i} \cdot \frac{\frac{i}{\left(\beta + \alpha\right) + 2 \cdot i} \cdot \left(\left(\beta + \alpha\right) + i\right)}{\left(\left(\beta + \alpha\right) + 2 \cdot i\right) \cdot \left(\left(\beta + \alpha\right) + 2 \cdot i\right) - 1.0}\right) \cdot \left(i + \alpha\right)\]

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 52.3

    \[\frac{\frac{\left(i \cdot \left(\left(\alpha + \beta\right) + i\right)\right) \cdot \left(\beta \cdot \alpha + i \cdot \left(\left(\alpha + \beta\right) + i\right)\right)}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) \cdot \left(\left(\alpha + \beta\right) + 2 \cdot i\right) - 1.0}\]
  2. Initial simplification52.3

    \[\leadsto \frac{\frac{\left(\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)\right) \cdot \left(\left(\alpha + \beta\right) \cdot i + i \cdot i\right)}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right)}\]
  3. Using strategy rm
  4. Applied *-un-lft-identity52.3

    \[\leadsto \frac{\frac{\left(\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)\right) \cdot \left(\left(\alpha + \beta\right) \cdot i + i \cdot i\right)}{\color{blue}{1 \cdot \left(\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0\right)}}}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right)}\]
  5. Applied times-frac39.0

    \[\leadsto \frac{\color{blue}{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{1} \cdot \frac{\left(\alpha + \beta\right) \cdot i + i \cdot i}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right)}\]
  6. Applied times-frac39.0

    \[\leadsto \color{blue}{\frac{\frac{\left(\alpha + \beta\right) \cdot i + \left(i \cdot i + \beta \cdot \alpha\right)}{1}}{2 \cdot i + \left(\alpha + \beta\right)} \cdot \frac{\frac{\left(\alpha + \beta\right) \cdot i + i \cdot i}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}{2 \cdot i + \left(\alpha + \beta\right)}}\]
  7. Simplified39.0

    \[\leadsto \color{blue}{\frac{\left(i + \alpha\right) \cdot \left(\beta + i\right)}{i \cdot 2 + \left(\beta + \alpha\right)}} \cdot \frac{\frac{\left(\alpha + \beta\right) \cdot i + i \cdot i}{\left(2 \cdot i + \left(\alpha + \beta\right)\right) \cdot \left(2 \cdot i + \left(\alpha + \beta\right)\right) - 1.0}}{2 \cdot i + \left(\alpha + \beta\right)}\]
  8. Simplified39.0

    \[\leadsto \frac{\left(i + \alpha\right) \cdot \left(\beta + i\right)}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \color{blue}{\frac{\frac{i}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \left(i + \left(\beta + \alpha\right)\right)}{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}}\]
  9. Using strategy rm
  10. Applied *-un-lft-identity39.0

    \[\leadsto \frac{\left(i + \alpha\right) \cdot \left(\beta + i\right)}{\color{blue}{1 \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right)}} \cdot \frac{\frac{i}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \left(i + \left(\beta + \alpha\right)\right)}{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}\]
  11. Applied times-frac36.4

    \[\leadsto \color{blue}{\left(\frac{i + \alpha}{1} \cdot \frac{\beta + i}{i \cdot 2 + \left(\beta + \alpha\right)}\right)} \cdot \frac{\frac{i}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \left(i + \left(\beta + \alpha\right)\right)}{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}\]
  12. Applied associate-*l*36.6

    \[\leadsto \color{blue}{\frac{i + \alpha}{1} \cdot \left(\frac{\beta + i}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \frac{\frac{i}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \left(i + \left(\beta + \alpha\right)\right)}{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}\right)}\]
  13. Simplified36.6

    \[\leadsto \color{blue}{\left(\alpha + i\right)} \cdot \left(\frac{\beta + i}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \frac{\frac{i}{i \cdot 2 + \left(\beta + \alpha\right)} \cdot \left(i + \left(\beta + \alpha\right)\right)}{\left(i \cdot 2 + \left(\beta + \alpha\right)\right) \cdot \left(i \cdot 2 + \left(\beta + \alpha\right)\right) - 1.0}\right)\]
  14. Final simplification36.6

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

Runtime

Time bar (total: 2.5m)Debug logProfile

BaselineHerbieOracleSpan%
Regimes36.636.636.30.40%
herbie shell --seed 2018296 
(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)))