Average Error: 13.4 → 0.2
Time: 2.1m
Precision: 64
Internal Precision: 1408
\[x + \left(\tan \left(y + z\right) - \tan a\right)\]
↓
\[x + \left(\frac{-\left(\tan y + \tan z\right)}{(\left(\tan y\right) \cdot \left(\tan z\right) + \left(-1\right))_*} - \tan a\right)\]

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus a

Derivation

  1. Initial program 13.4

    \[x + \left(\tan \left(y + z\right) - \tan a\right)\]
  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 frac-2neg0.2

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

  6. Applied simplify0.2

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

Runtime

Time bar (total: 2.1m)Debug logProfile

herbie shell --seed '#(1070833653 108281690 3330367898 3632331308 3494323072 43156186)' +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))))