Average Error: 0.0 → 0.0
Time: 18.0s
Precision: 64
Internal Precision: 128
\[e^{-\left(1 - x \cdot x\right)}\]
\[e^{-1} \cdot {\left(e^{x}\right)}^{x}\]

Error

Bits error versus x

Derivation

  1. Initial program 0.0

    \[e^{-\left(1 - x \cdot x\right)}\]
  2. Simplified0.0

    \[\leadsto \color{blue}{e^{(x \cdot x + -1)_*}}\]
  3. Using strategy rm
  4. Applied fma-udef0.0

    \[\leadsto e^{\color{blue}{x \cdot x + -1}}\]
  5. Applied exp-sum0.0

    \[\leadsto \color{blue}{e^{x \cdot x} \cdot e^{-1}}\]
  6. Using strategy rm
  7. Applied add-log-exp0.0

    \[\leadsto e^{\color{blue}{\log \left(e^{x}\right)} \cdot x} \cdot e^{-1}\]
  8. Applied exp-to-pow0.0

    \[\leadsto \color{blue}{{\left(e^{x}\right)}^{x}} \cdot e^{-1}\]
  9. Final simplification0.0

    \[\leadsto e^{-1} \cdot {\left(e^{x}\right)}^{x}\]

Reproduce

herbie shell --seed 2019090 +o rules:numerics
(FPCore (x)
  :name "exp neg sub"
  (exp (- (- 1 (* x x)))))