Average Error: 29.4 → 1.1
Time: 2.0m
Precision: 64
Internal Precision: 128
\[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}}{2}\]
\[\begin{array}{l} \mathbf{if}\;x \le 245.57615583620168:\\ \;\;\;\;\frac{x \cdot \left(\left(\frac{2}{3} \cdot x\right) \cdot x - x\right) + 2}{2}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{1}{\varepsilon} + 1\right) \cdot e^{\left(-x\right) \cdot \left(1 - \varepsilon\right)} - \left(\frac{1}{\varepsilon} - 1\right) \cdot \left(\sqrt{{e}^{\left(\left(\varepsilon + 1\right) \cdot \left(-x\right)\right)}} \cdot \sqrt{{e}^{\left(\left(\varepsilon + 1\right) \cdot \left(-x\right)\right)}}\right)}{2}\\ \end{array}\]

Error

Bits error versus x

Bits error versus eps

Derivation

  1. Split input into 2 regimes
  2. if x < 245.57615583620168

    1. Initial program 39.0

      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}}{2}\]
    2. Taylor expanded around 0 1.4

      \[\leadsto \frac{\color{blue}{\left(\frac{2}{3} \cdot {x}^{3} + 2\right) - {x}^{2}}}{2}\]
    3. Simplified1.4

      \[\leadsto \frac{\color{blue}{\left(x \cdot \left(\frac{2}{3} \cdot x\right) - x\right) \cdot x + 2}}{2}\]

    if 245.57615583620168 < x

    1. Initial program 0.0

      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}}{2}\]
    2. Using strategy rm
    3. Applied *-un-lft-identity0.0

      \[\leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{\color{blue}{1 \cdot \left(-\left(1 + \varepsilon\right) \cdot x\right)}}}{2}\]
    4. Applied exp-prod0.0

      \[\leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot \color{blue}{{\left(e^{1}\right)}^{\left(-\left(1 + \varepsilon\right) \cdot x\right)}}}{2}\]
    5. Simplified0.0

      \[\leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot {\color{blue}{e}}^{\left(-\left(1 + \varepsilon\right) \cdot x\right)}}{2}\]
    6. Using strategy rm
    7. Applied add-sqr-sqrt0.0

      \[\leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot \color{blue}{\left(\sqrt{{e}^{\left(-\left(1 + \varepsilon\right) \cdot x\right)}} \cdot \sqrt{{e}^{\left(-\left(1 + \varepsilon\right) \cdot x\right)}}\right)}}{2}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification1.1

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \le 245.57615583620168:\\ \;\;\;\;\frac{x \cdot \left(\left(\frac{2}{3} \cdot x\right) \cdot x - x\right) + 2}{2}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{1}{\varepsilon} + 1\right) \cdot e^{\left(-x\right) \cdot \left(1 - \varepsilon\right)} - \left(\frac{1}{\varepsilon} - 1\right) \cdot \left(\sqrt{{e}^{\left(\left(\varepsilon + 1\right) \cdot \left(-x\right)\right)}} \cdot \sqrt{{e}^{\left(\left(\varepsilon + 1\right) \cdot \left(-x\right)\right)}}\right)}{2}\\ \end{array}\]

Reproduce

herbie shell --seed 2019093 
(FPCore (x eps)
  :name "NMSE Section 6.1 mentioned, A"
  (/ (- (* (+ 1 (/ 1 eps)) (exp (- (* (- 1 eps) x)))) (* (- (/ 1 eps) 1) (exp (- (* (+ 1 eps) x))))) 2))