\[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
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: 1.1 m
Input Error: 30.4
Output Error: 5.9
Log:
Profile: 🕒
\(\begin{cases} \left({a}^{\left(-1.0\right)} \cdot \frac{{a}^{t}}{\frac{y}{x}}\right) \cdot (\left(\log z\right) * y + \left(1 - b\right))_* & \text{when } b \le -3.5057410872941088 \cdot 10^{+47} \\ \frac{\left(\frac{1}{2} \cdot \left({b}^2 \cdot x\right) + x\right) - b \cdot x}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}} & \text{when } b \le 1025610586077747.4 \\ \frac{\frac{x}{e^{b}}}{y \cdot a - \left(y \cdot a\right) \cdot (\left(\log z\right) * y + \left(t \cdot \log a\right))_*} & \text{otherwise} \end{cases}\)

    if b < -3.5057410872941088e+47

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      52.6
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}}\]
      62.5
    3. Using strategy rm
      62.5
    4. Applied sub-neg to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\color{red}{\left(t - 1.0\right)}}}} \leadsto \frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\color{blue}{\left(t + \left(-1.0\right)\right)}}}}\]
      62.5
    5. Applied unpow-prod-up to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{\color{red}{{a}^{\left(t + \left(-1.0\right)\right)}}}} \leadsto \frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{\color{blue}{{a}^{t} \cdot {a}^{\left(-1.0\right)}}}}\]
      62.5
    6. Applied div-inv to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\color{red}{\frac{y}{{z}^{y}}}}{{a}^{t} \cdot {a}^{\left(-1.0\right)}}} \leadsto \frac{\frac{x}{e^{b}}}{\frac{\color{blue}{y \cdot \frac{1}{{z}^{y}}}}{{a}^{t} \cdot {a}^{\left(-1.0\right)}}}\]
      62.5
    7. Applied times-frac to get
      \[\frac{\frac{x}{e^{b}}}{\color{red}{\frac{y \cdot \frac{1}{{z}^{y}}}{{a}^{t} \cdot {a}^{\left(-1.0\right)}}}} \leadsto \frac{\frac{x}{e^{b}}}{\color{blue}{\frac{y}{{a}^{t}} \cdot \frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}}}\]
      62.5
    8. Applied *-un-lft-identity to get
      \[\frac{\color{red}{\frac{x}{e^{b}}}}{\frac{y}{{a}^{t}} \cdot \frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}} \leadsto \frac{\color{blue}{1 \cdot \frac{x}{e^{b}}}}{\frac{y}{{a}^{t}} \cdot \frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}}\]
      62.5
    9. Applied times-frac to get
      \[\color{red}{\frac{1 \cdot \frac{x}{e^{b}}}{\frac{y}{{a}^{t}} \cdot \frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}}} \leadsto \color{blue}{\frac{1}{\frac{y}{{a}^{t}}} \cdot \frac{\frac{x}{e^{b}}}{\frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}}}\]
      62.5
    10. Applied simplify to get
      \[\color{red}{\frac{1}{\frac{y}{{a}^{t}}}} \cdot \frac{\frac{x}{e^{b}}}{\frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}} \leadsto \color{blue}{\frac{{a}^{t}}{y}} \cdot \frac{\frac{x}{e^{b}}}{\frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}}\]
      62.5
    11. Applied simplify to get
      \[\frac{{a}^{t}}{y} \cdot \color{red}{\frac{\frac{x}{e^{b}}}{\frac{\frac{1}{{z}^{y}}}{{a}^{\left(-1.0\right)}}}} \leadsto \frac{{a}^{t}}{y} \cdot \color{blue}{\left({a}^{\left(-1.0\right)} \cdot \left(\frac{x}{e^{b}} \cdot {z}^{y}\right)\right)}\]
      62.5
    12. Applied taylor to get
      \[\frac{{a}^{t}}{y} \cdot \left({a}^{\left(-1.0\right)} \cdot \left(\frac{x}{e^{b}} \cdot {z}^{y}\right)\right) \leadsto \frac{{a}^{t}}{y} \cdot \left({a}^{\left(-1.0\right)} \cdot \left(\left(y \cdot \left(\log z \cdot x\right) + x\right) - b \cdot x\right)\right)\]
      23.1
    13. Taylor expanded around 0 to get
      \[\frac{{a}^{t}}{y} \cdot \left({a}^{\left(-1.0\right)} \cdot \color{red}{\left(\left(y \cdot \left(\log z \cdot x\right) + x\right) - b \cdot x\right)}\right) \leadsto \frac{{a}^{t}}{y} \cdot \left({a}^{\left(-1.0\right)} \cdot \color{blue}{\left(\left(y \cdot \left(\log z \cdot x\right) + x\right) - b \cdot x\right)}\right)\]
      23.1
    14. Applied simplify to get
      \[\color{red}{\frac{{a}^{t}}{y} \cdot \left({a}^{\left(-1.0\right)} \cdot \left(\left(y \cdot \left(\log z \cdot x\right) + x\right) - b \cdot x\right)\right)} \leadsto \color{blue}{\left({a}^{\left(-1.0\right)} \cdot \frac{{a}^{t}}{\frac{y}{x}}\right) \cdot (\left(\log z\right) * y + \left(1 - b\right))_*}\]
      10.3

    if -3.5057410872941088e+47 < b < 1025610586077747.4

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      31.4
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}}\]
      5.9
    3. Applied taylor to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}} \leadsto \frac{\left(\frac{1}{2} \cdot \left({b}^2 \cdot x\right) + x\right) - b \cdot x}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}\]
      1.9
    4. Taylor expanded around 0 to get
      \[\frac{\color{red}{\left(\frac{1}{2} \cdot \left({b}^2 \cdot x\right) + x\right) - b \cdot x}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}} \leadsto \frac{\color{blue}{\left(\frac{1}{2} \cdot \left({b}^2 \cdot x\right) + x\right) - b \cdot x}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}\]
      1.9

    if 1025610586077747.4 < b

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      12.1
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}}}\]
      32.2
    3. Applied taylor to get
      \[\frac{\frac{x}{e^{b}}}{\frac{\frac{y}{{z}^{y}}}{{a}^{\left(t - 1.0\right)}}} \leadsto \frac{\frac{x}{e^{b}}}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)}\]
      11.9
    4. Taylor expanded around 0 to get
      \[\frac{\frac{x}{e^{b}}}{\color{red}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)}} \leadsto \frac{\frac{x}{e^{b}}}{\color{blue}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)}}\]
      11.9
    5. Applied simplify to get
      \[\color{red}{\frac{\frac{x}{e^{b}}}{y \cdot a - \left({y}^2 \cdot \left(\log z \cdot a\right) + y \cdot \left(\log a \cdot \left(a \cdot t\right)\right)\right)}} \leadsto \color{blue}{\frac{\frac{x}{e^{b}}}{y \cdot a - \left(y \cdot a\right) \cdot (\left(\log z\right) * y + \left(t \cdot \log a\right))_*}}\]
      11.1

  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))