Average Error: 13.6 → 0.2
Time: 1.8m
Precision: 64
Internal Precision: 1344
\[x + \left(\tan \left(y + z\right) - \tan a\right)\]
\[x + \left(\left(\frac{(\left((\left(\tan z\right) \cdot \left(\tan y\right) + 1)_*\right) \cdot \left(\tan z \cdot \tan y\right) + 1)_* \cdot \left(\tan z + \tan y\right)}{1 - {\left(\tan z \cdot \tan y\right)}^{3}} - \tan a\right) + \left(\tan a - \tan a\right)\right)\]

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus a

Try it out

  1. Inputs

  2. Original Output:

    Herbie Output:

Derivation

  1. Initial program 13.6

    \[x + \left(\tan \left(y + z\right) - \tan a\right)\]
  2. Using strategy rm
  3. Applied tan-sum0.2

    \[\leadsto x + \left(\color{blue}{\frac{\tan y + \tan z}{1 - \tan y \cdot \tan z}} - \tan a\right)\]
  4. Using strategy rm
  5. Applied *-un-lft-identity0.2

    \[\leadsto x + \left(\frac{\tan y + \tan z}{1 - \tan y \cdot \tan z} - \color{blue}{1 \cdot \tan a}\right)\]
  6. Applied flip3--0.2

    \[\leadsto x + \left(\frac{\tan y + \tan z}{\color{blue}{\frac{{1}^{3} - {\left(\tan y \cdot \tan z\right)}^{3}}{1 \cdot 1 + \left(\left(\tan y \cdot \tan z\right) \cdot \left(\tan y \cdot \tan z\right) + 1 \cdot \left(\tan y \cdot \tan z\right)\right)}}} - 1 \cdot \tan a\right)\]
  7. Applied associate-/r/0.2

    \[\leadsto x + \left(\color{blue}{\frac{\tan y + \tan z}{{1}^{3} - {\left(\tan y \cdot \tan z\right)}^{3}} \cdot \left(1 \cdot 1 + \left(\left(\tan y \cdot \tan z\right) \cdot \left(\tan y \cdot \tan z\right) + 1 \cdot \left(\tan y \cdot \tan z\right)\right)\right)} - 1 \cdot \tan a\right)\]
  8. Applied prod-diff0.2

    \[\leadsto x + \color{blue}{\left((\left(\frac{\tan y + \tan z}{{1}^{3} - {\left(\tan y \cdot \tan z\right)}^{3}}\right) \cdot \left(1 \cdot 1 + \left(\left(\tan y \cdot \tan z\right) \cdot \left(\tan y \cdot \tan z\right) + 1 \cdot \left(\tan y \cdot \tan z\right)\right)\right) + \left(-\tan a \cdot 1\right))_* + (\left(-\tan a\right) \cdot 1 + \left(\tan a \cdot 1\right))_*\right)}\]
  9. Applied simplify0.2

    \[\leadsto x + \left(\color{blue}{\left(\frac{(\left((\left(\tan z\right) \cdot \left(\tan y\right) + 1)_*\right) \cdot \left(\tan z \cdot \tan y\right) + 1)_* \cdot \left(\tan z + \tan y\right)}{1 - {\left(\tan z \cdot \tan y\right)}^{3}} - \tan a\right)} + (\left(-\tan a\right) \cdot 1 + \left(\tan a \cdot 1\right))_*\right)\]
  10. Applied simplify0.2

    \[\leadsto x + \left(\left(\frac{(\left((\left(\tan z\right) \cdot \left(\tan y\right) + 1)_*\right) \cdot \left(\tan z \cdot \tan y\right) + 1)_* \cdot \left(\tan z + \tan y\right)}{1 - {\left(\tan z \cdot \tan y\right)}^{3}} - \tan a\right) + \color{blue}{\left(\tan a - \tan a\right)}\right)\]

Runtime

Time bar (total: 1.8m)Debug logProfile

herbie shell --seed '#(1072361757 3390613284 2339397988 1175251238 145061547 3101881848)' +o rules:numerics
(FPCore (x y z a)
  :name "(+ x (- (tan (+ y z)) (tan a)))"
  :pre (and (or (== x 0) (<= 0.5884142 x 505.5909)) (or (<= -1.796658e+308 y -9.425585e-310) (<= 1.284938e-309 y 1.751224e+308)) (or (<= -1.776707e+308 z -8.599796e-310) (<= 3.293145e-311 z 1.725154e+308)) (or (<= -1.796658e+308 a -9.425585e-310) (<= 1.284938e-309 a 1.751224e+308)))
  (+ x (- (tan (+ y z)) (tan a))))