Average Error: 1.9 → 1.9
Time: 1.6m
Precision: 64
Internal Precision: 128
\[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
\[\frac{1}{\frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{\left(\log a \cdot \left(t - 1.0\right) + \log z \cdot y\right) - b}}{\sqrt[3]{y}}} \cdot \sqrt[3]{\frac{x \cdot e^{\left(\log a \cdot \left(t - 1.0\right) + \log z \cdot y\right) - b}}{\sqrt[3]{y}}}} \cdot \frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{(\left(\log a\right) \cdot t + \left(\log z \cdot y - b\right))_* - \log a \cdot 1.0}}{\sqrt[3]{y}}}}}\]

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Bits error versus b

Derivation

  1. Initial program 1.9

    \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
  2. Using strategy rm
  3. Applied clear-num1.9

    \[\leadsto \color{blue}{\frac{1}{\frac{y}{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}}}\]
  4. Using strategy rm
  5. Applied add-cube-cbrt1.9

    \[\leadsto \frac{1}{\frac{\color{blue}{\left(\sqrt[3]{y} \cdot \sqrt[3]{y}\right) \cdot \sqrt[3]{y}}}{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}}\]
  6. Applied associate-/l*1.9

    \[\leadsto \frac{1}{\color{blue}{\frac{\sqrt[3]{y} \cdot \sqrt[3]{y}}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}}}}\]
  7. Using strategy rm
  8. Applied add-cube-cbrt1.9

    \[\leadsto \frac{1}{\frac{\sqrt[3]{y} \cdot \sqrt[3]{y}}{\color{blue}{\left(\sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}} \cdot \sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}}\right) \cdot \sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}}}}}\]
  9. Applied times-frac1.9

    \[\leadsto \frac{1}{\color{blue}{\frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}} \cdot \sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}}} \cdot \frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}}}}}\]
  10. Taylor expanded around inf 1.9

    \[\leadsto \frac{1}{\frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}} \cdot \sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}}} \cdot \frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot \color{blue}{e^{1.0 \cdot \log \left(\frac{1}{a}\right) - \left(\log \left(\frac{1}{z}\right) \cdot y + \left(b + t \cdot \log \left(\frac{1}{a}\right)\right)\right)}}}{\sqrt[3]{y}}}}}\]
  11. Simplified1.9

    \[\leadsto \frac{1}{\frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}} \cdot \sqrt[3]{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{\sqrt[3]{y}}}} \cdot \frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot \color{blue}{e^{(\left(\log a\right) \cdot t + \left(y \cdot \log z - b\right))_* - 1.0 \cdot \log a}}}{\sqrt[3]{y}}}}}\]
  12. Final simplification1.9

    \[\leadsto \frac{1}{\frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{\left(\log a \cdot \left(t - 1.0\right) + \log z \cdot y\right) - b}}{\sqrt[3]{y}}} \cdot \sqrt[3]{\frac{x \cdot e^{\left(\log a \cdot \left(t - 1.0\right) + \log z \cdot y\right) - b}}{\sqrt[3]{y}}}} \cdot \frac{\sqrt[3]{y}}{\sqrt[3]{\frac{x \cdot e^{(\left(\log a\right) \cdot t + \left(\log z \cdot y - b\right))_* - \log a \cdot 1.0}}{\sqrt[3]{y}}}}}\]

Reproduce

herbie shell --seed 2019089 +o rules:numerics
(FPCore (x y z t a b)
  :name "Numeric.SpecFunctions:incompleteBetaWorker from math-functions-0.1.5.2"
  (/ (* x (exp (- (+ (* y (log z)) (* (- t 1.0) (log a))) b))) y))