Average Error: 13.3 → 0.3
Time: 40.2s
Precision: 64
Internal Precision: 128
\[x + \left(\tan \left(y + z\right) - \tan a\right)\]
↓
\[\left(\left(\tan y + \tan z\right) \cdot \frac{1}{1 - \log \left(e^{\tan z \cdot \tan y}\right)} - \tan a\right) + x\]

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus a

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Your Program's Arguments

Results

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Derivation

  1. Initial program 13.3

    \[x + \left(\tan \left(y + z\right) - \tan a\right)\]
  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 div-inv0.2

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

  7. Applied add-log-exp0.3

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

  8. Final simplification0.3

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

Runtime

Time bar (total: 40.2s)Debug logProfile

BaselineHerbieOracleSpan%
Regimes0.30.30.10.20%
herbie shell --seed 2018352 
(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))))