\[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}}{2}\]
Test:
NMSE Section 6.1 mentioned, A
Bits:
128 bits
Bits error versus x
Bits error versus eps
Time: 2.2 m
Input Error: 20.5
Output Error: 0.2
Log:
Profile: 🕒
\(\begin{cases} 1 & \text{when } x \le 0.8279971f0 \\ \left(\frac{e^{\left(1 - \varepsilon\right) \cdot \left(-x\right)}}{\frac{2}{1 + \frac{1}{\varepsilon}}} - \frac{e^{-(\varepsilon * x + x)_*}}{2 \cdot \varepsilon}\right) + \frac{e^{-(\varepsilon * x + x)_*}}{2} & \text{otherwise} \end{cases}\)

    if x < 0.8279971f0

    1. Started with
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}}{2}\]
      23.6
    2. Applied taylor to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}}{2} \leadsto \frac{2}{2}\]
      0
    3. Taylor expanded around 0 to get
      \[\frac{\color{red}{2}}{2} \leadsto \frac{\color{blue}{2}}{2}\]
      0
    4. Applied simplify to get
      \[\color{red}{\frac{2}{2}} \leadsto \color{blue}{1}\]
      0

    if 0.8279971f0 < x

    1. Started with
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}}{2}\]
      1.5
    2. Using strategy rm
      1.5
    3. Applied pow1 to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot \color{red}{e^{-\left(1 + \varepsilon\right) \cdot x}}}{2} \leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \left(\frac{1}{\varepsilon} - 1\right) \cdot \color{blue}{{\left(e^{-\left(1 + \varepsilon\right) \cdot x}\right)}^{1}}}{2}\]
      1.5
    4. Applied pow1 to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \color{red}{\left(\frac{1}{\varepsilon} - 1\right)} \cdot {\left(e^{-\left(1 + \varepsilon\right) \cdot x}\right)}^{1}}{2} \leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \color{blue}{{\left(\frac{1}{\varepsilon} - 1\right)}^{1}} \cdot {\left(e^{-\left(1 + \varepsilon\right) \cdot x}\right)}^{1}}{2}\]
      1.5
    5. Applied pow-prod-down to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \color{red}{{\left(\frac{1}{\varepsilon} - 1\right)}^{1} \cdot {\left(e^{-\left(1 + \varepsilon\right) \cdot x}\right)}^{1}}}{2} \leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - \color{blue}{{\left(\left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}\right)}^{1}}}{2}\]
      1.5
    6. Applied simplify to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - {\color{red}{\left(\left(\frac{1}{\varepsilon} - 1\right) \cdot e^{-\left(1 + \varepsilon\right) \cdot x}\right)}}^{1}}{2} \leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - {\color{blue}{\left(\frac{\frac{1}{\varepsilon} - 1}{e^{(\varepsilon * x + x)_*}}\right)}}^{1}}{2}\]
      1.5
    7. Applied taylor to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - {\left(\frac{\frac{1}{\varepsilon} - 1}{e^{(\varepsilon * x + x)_*}}\right)}^{1}}{2} \leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - {\left(\frac{1}{e^{(\varepsilon * x + x)_*} \cdot \varepsilon} - \frac{1}{e^{(\varepsilon * x + x)_*}}\right)}^{1}}{2}\]
      1.5
    8. Taylor expanded around 0 to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - {\color{red}{\left(\frac{1}{e^{(\varepsilon * x + x)_*} \cdot \varepsilon} - \frac{1}{e^{(\varepsilon * x + x)_*}}\right)}}^{1}}{2} \leadsto \frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - {\color{blue}{\left(\frac{1}{e^{(\varepsilon * x + x)_*} \cdot \varepsilon} - \frac{1}{e^{(\varepsilon * x + x)_*}}\right)}}^{1}}{2}\]
      1.5
    9. Applied simplify to get
      \[\frac{\left(1 + \frac{1}{\varepsilon}\right) \cdot e^{-\left(1 - \varepsilon\right) \cdot x} - {\left(\frac{1}{e^{(\varepsilon * x + x)_*} \cdot \varepsilon} - \frac{1}{e^{(\varepsilon * x + x)_*}}\right)}^{1}}{2} \leadsto \left(\frac{e^{\left(1 - \varepsilon\right) \cdot \left(-x\right)}}{\frac{2}{1 + \frac{1}{\varepsilon}}} - \frac{e^{-(\varepsilon * x + x)_*}}{2 \cdot \varepsilon}\right) + \frac{e^{-(\varepsilon * x + x)_*}}{2}\]
      1.3

    10. Applied final simplification

  1. Removed slow pow expressions

Original test:


(lambda ((x default) (eps default))
  #:name "NMSE Section 6.1 mentioned, A"
  (/ (- (* (+ 1 (/ 1 eps)) (exp (- (* (- 1 eps) x)))) (* (- (/ 1 eps) 1) (exp (- (* (+ 1 eps) x))))) 2))