\[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
Test:
Numeric.SpecFunctions:incompleteBetaWorker from math-functions-0.1.5.2
Bits:
128 bits
Bits error versus x
Bits error versus y
Bits error versus z
Bits error versus t
Bits error versus a
Bits error versus b
Time: 56.6 s
Input Error: 12.3
Output Error: 1.5
Log:
Profile: 🕒
\(\begin{cases} \frac{e^{(\left(\log a\right) * \left(t - 1.0\right) + \left(y \cdot \log z\right))_*}}{y} \cdot \left(x - \frac{x}{b}\right) & \text{when } b \le -1.5593f0 \\ \frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{\left(\sqrt{{a}^{\left(t - 1.0\right)}}\right)}^2}} & \text{when } b \le 15.794751f0 \\ \frac{\frac{x}{e^{b}}}{\left(y - \left(\log z \cdot \left(y \cdot y\right) + \log a \cdot \left(y \cdot t\right)\right)\right) \cdot a} & \text{otherwise} \end{cases}\)

    if b < -1.5593f0

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      18.2
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}}\]
      29.7
    3. Applied taylor to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}} \leadsto \frac{e^{-1 \cdot \left(\log a \cdot \left(\frac{1}{t} - 1.0\right)\right)} \cdot \left(e^{-1 \cdot \frac{\log z}{y}} \cdot x\right)}{y \cdot e^{\frac{1}{b}}}\]
      22.3
    4. Taylor expanded around inf to get
      \[\color{red}{\frac{e^{-1 \cdot \left(\log a \cdot \left(\frac{1}{t} - 1.0\right)\right)} \cdot \left(e^{-1 \cdot \frac{\log z}{y}} \cdot x\right)}{y \cdot e^{\frac{1}{b}}}} \leadsto \color{blue}{\frac{e^{-1 \cdot \left(\log a \cdot \left(\frac{1}{t} - 1.0\right)\right)} \cdot \left(e^{-1 \cdot \frac{\log z}{y}} \cdot x\right)}{y \cdot e^{\frac{1}{b}}}}\]
      22.3
    5. Applied simplify to get
      \[\color{red}{\frac{e^{-1 \cdot \left(\log a \cdot \left(\frac{1}{t} - 1.0\right)\right)} \cdot \left(e^{-1 \cdot \frac{\log z}{y}} \cdot x\right)}{y \cdot e^{\frac{1}{b}}}} \leadsto \color{blue}{\frac{e^{(\left(-\log a\right) * \left(\frac{1}{t} - 1.0\right) + \left(\frac{-1}{y} \cdot \log z\right))_*}}{\frac{y}{x} \cdot e^{\frac{1}{b}}}}\]
      21.8
    6. Applied taylor to get
      \[\frac{e^{(\left(-\log a\right) * \left(\frac{1}{t} - 1.0\right) + \left(\frac{-1}{y} \cdot \log z\right))_*}}{\frac{y}{x} \cdot e^{\frac{1}{b}}} \leadsto \frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y} - \frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y \cdot b}\]
      1.1
    7. Taylor expanded around inf to get
      \[\color{red}{\frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y} - \frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y \cdot b}} \leadsto \color{blue}{\frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y} - \frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y \cdot b}}\]
      1.1
    8. Applied simplify to get
      \[\frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y} - \frac{e^{(\left(-\log \left(\frac{1}{a}\right)\right) * \left(t - 1.0\right) + \left(-1 \cdot \left(y \cdot \log \left(\frac{1}{z}\right)\right)\right))_*} \cdot x}{y \cdot b} \leadsto \frac{e^{(\left(\log a\right) * \left(t - 1.0\right) + \left(y \cdot \log z\right))_*}}{y} \cdot \left(x - \frac{x}{b}\right)\]
      1.1

    9. Applied final simplification

    if -1.5593f0 < b < 15.794751f0

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      13.4
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}}\]
      1.6
    3. Using strategy rm
      1.6
    4. Applied add-sqr-sqrt to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{\color{red}{{a}^{\left(t - 1.0\right)}}}} \leadsto \frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{\color{blue}{{\left(\sqrt{{a}^{\left(t - 1.0\right)}}\right)}^2}}}\]
      1.7

    if 15.794751f0 < b

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      7.1
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}}\]
      13.5
    3. Using strategy rm
      13.5
    4. Applied pow-to-exp to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{\color{red}{{a}^{\left(t - 1.0\right)}}}} \leadsto \frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{\color{blue}{e^{\log a \cdot \left(t - 1.0\right)}}}}\]
      13.5
    5. Applied taylor to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{e^{\log a \cdot \left(t - 1.0\right)}}} \leadsto \frac{\frac{x}{e^{b}}}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)}\]
      2.6
    6. Taylor expanded around 0 to get
      \[\frac{\frac{x}{e^{b}}}{\color{red}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)}} \leadsto \frac{\frac{x}{e^{b}}}{\color{blue}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)}}\]
      2.6
    7. Applied simplify to get
      \[\frac{\frac{x}{e^{b}}}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)} \leadsto \frac{\frac{x}{e^{b}}}{a \cdot \left(y - \left(y \cdot y\right) \cdot \log z\right) - \left(\log a \cdot \left(a \cdot t\right)\right) \cdot y}\]
      0.6

    8. Applied final simplification
    9. Applied simplify to get
      \[\color{red}{\frac{\frac{x}{e^{b}}}{a \cdot \left(y - \left(y \cdot y\right) \cdot \log z\right) - \left(\log a \cdot \left(a \cdot t\right)\right) \cdot y}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{\left(y - \left(\log z \cdot \left(y \cdot y\right) + \log a \cdot \left(y \cdot t\right)\right)\right) \cdot a}}\]
      1.5

  1. Removed slow pow expressions

Original test:


(lambda ((x default) (y default) (z default) (t default) (a default) (b default))
  #:name "Numeric.SpecFunctions:incompleteBetaWorker from math-functions-0.1.5.2"
  (/ (* x (exp (- (+ (* y (log z)) (* (- t 1.0) (log a))) b))) y))