Average Error: 0.0 → 0.1
Time: 21.9s
Precision: 64
Internal Precision: 128
\[e^{-\left(1 - x \cdot x\right)}\]
\[\sqrt{\sqrt[3]{(e^{\log_* (1 + e^{(x \cdot x + -1)_*} \cdot \left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right))} - 1)^*}} \cdot \sqrt{\sqrt[3]{(e^{\log_* (1 + e^{(x \cdot x + -1)_*} \cdot \left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right))} - 1)^*}}\]

Error

Bits error versus x

Derivation

  1. Initial program 0.0

    \[e^{-\left(1 - x \cdot x\right)}\]
  2. Initial simplification0.0

    \[\leadsto e^{(x \cdot x + -1)_*}\]
  3. Using strategy rm
  4. Applied add-cbrt-cube0.1

    \[\leadsto \color{blue}{\sqrt[3]{\left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right) \cdot e^{(x \cdot x + -1)_*}}}\]
  5. Using strategy rm
  6. Applied expm1-log1p-u0.1

    \[\leadsto \sqrt[3]{\color{blue}{(e^{\log_* (1 + \left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right) \cdot e^{(x \cdot x + -1)_*})} - 1)^*}}\]
  7. Using strategy rm
  8. Applied add-sqr-sqrt0.1

    \[\leadsto \color{blue}{\sqrt{\sqrt[3]{(e^{\log_* (1 + \left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right) \cdot e^{(x \cdot x + -1)_*})} - 1)^*}} \cdot \sqrt{\sqrt[3]{(e^{\log_* (1 + \left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right) \cdot e^{(x \cdot x + -1)_*})} - 1)^*}}}\]
  9. Final simplification0.1

    \[\leadsto \sqrt{\sqrt[3]{(e^{\log_* (1 + e^{(x \cdot x + -1)_*} \cdot \left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right))} - 1)^*}} \cdot \sqrt{\sqrt[3]{(e^{\log_* (1 + e^{(x \cdot x + -1)_*} \cdot \left(e^{(x \cdot x + -1)_*} \cdot e^{(x \cdot x + -1)_*}\right))} - 1)^*}}\]

Runtime

Time bar (total: 21.9s)Debug logProfile

herbie shell --seed 2018273 +o rules:numerics
(FPCore (x)
  :name "exp neg sub"
  (exp (- (- 1 (* x x)))))