Average Error: 0.3 → 0.3
Time: 2.0m
Precision: 64
Internal Precision: 576
\[\left(\left(\log \left(x + y\right) + \log z\right) - t\right) + \left(a - 0.5\right) \cdot \log t\]
\[\left(\left(\log \left(y + x\right) - (\left(0.5 - a\right) \cdot \left(\log t\right) + t)_*\right) + \log z\right) + 0\]

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Derivation

  1. Initial program 0.3

    \[\left(\left(\log \left(x + y\right) + \log z\right) - t\right) + \left(a - 0.5\right) \cdot \log t\]
  2. Applied simplify0.3

    \[\leadsto \color{blue}{\log \left(y + x\right) - \left(t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*\right)}\]
  3. Using strategy rm
  4. Applied add-cube-cbrt1.3

    \[\leadsto \log \left(y + x\right) - \color{blue}{\left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right) \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}}\]
  5. Applied pow11.3

    \[\leadsto \log \color{blue}{\left({\left(y + x\right)}^{1}\right)} - \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right) \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\]
  6. Applied log-pow1.3

    \[\leadsto \color{blue}{1 \cdot \log \left(y + x\right)} - \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right) \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\]
  7. Applied prod-diff1.3

    \[\leadsto \color{blue}{(1 \cdot \left(\log \left(y + x\right)\right) + \left(-\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right)\right))_* + (\left(-\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right) \cdot \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right) + \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right)\right))_*}\]
  8. Applied simplify0.3

    \[\leadsto \color{blue}{\left(\left(\log \left(y + x\right) - (\left(0.5 - a\right) \cdot \left(\log t\right) + t)_*\right) + \log z\right)} + (\left(-\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right) \cdot \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right) + \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \left(\sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*} \cdot \sqrt[3]{t - (\left(a - 0.5\right) \cdot \left(\log t\right) + \left(\log z\right))_*}\right)\right))_*\]
  9. Applied simplify0.3

    \[\leadsto \left(\left(\log \left(y + x\right) - (\left(0.5 - a\right) \cdot \left(\log t\right) + t)_*\right) + \log z\right) + \color{blue}{0}\]

Runtime

Time bar (total: 2.0m)Debug logProfile

herbie shell --seed 2018207 +o rules:numerics
(FPCore (x y z t a)
  :name "Numeric.SpecFunctions:logGammaL from math-functions-0.1.5.2"
  (+ (- (+ (log (+ x y)) (log z)) t) (* (- a 0.5) (log t))))