\[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
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: 56.2 s
Input Error: 11.0
Output Error: 1.7
Log:
Profile: 🕒
\(\begin{cases} e^{\left(\log \left(\frac{x}{y}\right) + \log z \cdot y\right) + \left(\log a \cdot \left(t - 1.0\right) - b\right)} & \text{when } b \le -31.868288f0 \\ \left(\frac{{z}^{y}}{y} \cdot \left(x \cdot {a}^{t}\right)\right) \cdot \frac{{a}^{\left(-1.0\right)}}{e^{b}} & \text{when } b \le 0.24611415f0 \\ \left(x \cdot \frac{{z}^{y}}{y}\right) \cdot e^{\log a \cdot \left(t - 1.0\right) - b} & \text{otherwise} \end{cases}\)

    if b < -31.868288f0

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      0.0
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\left(\frac{x}{y} \cdot {z}^{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}}\]
      30.2
    3. Using strategy rm
      30.2
    4. Applied pow-to-exp to get
      \[\left(\frac{x}{y} \cdot {z}^{y}\right) \cdot \frac{\color{red}{{a}^{\left(t - 1.0\right)}}}{e^{b}} \leadsto \left(\frac{x}{y} \cdot {z}^{y}\right) \cdot \frac{\color{blue}{e^{\log a \cdot \left(t - 1.0\right)}}}{e^{b}}\]
      30.2
    5. Applied div-exp to get
      \[\left(\frac{x}{y} \cdot {z}^{y}\right) \cdot \color{red}{\frac{e^{\log a \cdot \left(t - 1.0\right)}}{e^{b}}} \leadsto \left(\frac{x}{y} \cdot {z}^{y}\right) \cdot \color{blue}{e^{\log a \cdot \left(t - 1.0\right) - b}}\]
      16.8
    6. Applied pow-to-exp to get
      \[\left(\frac{x}{y} \cdot \color{red}{{z}^{y}}\right) \cdot e^{\log a \cdot \left(t - 1.0\right) - b} \leadsto \left(\frac{x}{y} \cdot \color{blue}{e^{\log z \cdot y}}\right) \cdot e^{\log a \cdot \left(t - 1.0\right) - b}\]
      16.8
    7. Applied add-exp-log to get
      \[\left(\color{red}{\frac{x}{y}} \cdot e^{\log z \cdot y}\right) \cdot e^{\log a \cdot \left(t - 1.0\right) - b} \leadsto \left(\color{blue}{e^{\log \left(\frac{x}{y}\right)}} \cdot e^{\log z \cdot y}\right) \cdot e^{\log a \cdot \left(t - 1.0\right) - b}\]
      16.8
    8. Applied prod-exp to get
      \[\color{red}{\left(e^{\log \left(\frac{x}{y}\right)} \cdot e^{\log z \cdot y}\right)} \cdot e^{\log a \cdot \left(t - 1.0\right) - b} \leadsto \color{blue}{e^{\log \left(\frac{x}{y}\right) + \log z \cdot y}} \cdot e^{\log a \cdot \left(t - 1.0\right) - b}\]
      15.8
    9. Applied prod-exp to get
      \[\color{red}{e^{\log \left(\frac{x}{y}\right) + \log z \cdot y} \cdot e^{\log a \cdot \left(t - 1.0\right) - b}} \leadsto \color{blue}{e^{\left(\log \left(\frac{x}{y}\right) + \log z \cdot y\right) + \left(\log a \cdot \left(t - 1.0\right) - b\right)}}\]
      2.1

    if -31.868288f0 < b < 0.24611415f0

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      13.9
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\left(\frac{x}{y} \cdot {z}^{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}}\]
      4.6
    3. Using strategy rm
      4.6
    4. Applied div-inv to get
      \[\left(\color{red}{\frac{x}{y}} \cdot {z}^{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}} \leadsto \left(\color{blue}{\left(x \cdot \frac{1}{y}\right)} \cdot {z}^{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}\]
      4.6
    5. Applied associate-*l* to get
      \[\color{red}{\left(\left(x \cdot \frac{1}{y}\right) \cdot {z}^{y}\right)} \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}} \leadsto \color{blue}{\left(x \cdot \left(\frac{1}{y} \cdot {z}^{y}\right)\right)} \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}\]
      1.9
    6. Applied simplify to get
      \[\left(x \cdot \color{red}{\left(\frac{1}{y} \cdot {z}^{y}\right)}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}} \leadsto \left(x \cdot \color{blue}{\frac{{z}^{y}}{y}}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}\]
      1.8
    7. Using strategy rm
      1.8
    8. Applied *-un-lft-identity to get
      \[\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{\color{red}{e^{b}}} \leadsto \left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{\color{blue}{1 \cdot e^{b}}}\]
      1.8
    9. Applied sub-neg to get
      \[\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{{a}^{\color{red}{\left(t - 1.0\right)}}}{1 \cdot e^{b}} \leadsto \left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{{a}^{\color{blue}{\left(t + \left(-1.0\right)\right)}}}{1 \cdot e^{b}}\]
      1.8
    10. Applied unpow-prod-up to get
      \[\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{\color{red}{{a}^{\left(t + \left(-1.0\right)\right)}}}{1 \cdot e^{b}} \leadsto \left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{\color{blue}{{a}^{t} \cdot {a}^{\left(-1.0\right)}}}{1 \cdot e^{b}}\]
      1.8
    11. Applied times-frac to get
      \[\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \color{red}{\frac{{a}^{t} \cdot {a}^{\left(-1.0\right)}}{1 \cdot e^{b}}} \leadsto \left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \color{blue}{\left(\frac{{a}^{t}}{1} \cdot \frac{{a}^{\left(-1.0\right)}}{e^{b}}\right)}\]
      1.8
    12. Applied associate-*r* to get
      \[\color{red}{\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \left(\frac{{a}^{t}}{1} \cdot \frac{{a}^{\left(-1.0\right)}}{e^{b}}\right)} \leadsto \color{blue}{\left(\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{{a}^{t}}{1}\right) \cdot \frac{{a}^{\left(-1.0\right)}}{e^{b}}}\]
      1.8
    13. Applied simplify to get
      \[\color{red}{\left(\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{{a}^{t}}{1}\right)} \cdot \frac{{a}^{\left(-1.0\right)}}{e^{b}} \leadsto \color{blue}{\left(\frac{{z}^{y}}{y} \cdot \left(x \cdot {a}^{t}\right)\right)} \cdot \frac{{a}^{\left(-1.0\right)}}{e^{b}}\]
      1.8

    if 0.24611415f0 < b

    1. Started with
      \[\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}\]
      6.6
    2. Applied simplify to get
      \[\color{red}{\frac{x \cdot e^{\left(y \cdot \log z + \left(t - 1.0\right) \cdot \log a\right) - b}}{y}} \leadsto \color{blue}{\left(\frac{x}{y} \cdot {z}^{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}}\]
      9.0
    3. Using strategy rm
      9.0
    4. Applied div-inv to get
      \[\left(\color{red}{\frac{x}{y}} \cdot {z}^{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}} \leadsto \left(\color{blue}{\left(x \cdot \frac{1}{y}\right)} \cdot {z}^{y}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}\]
      9.0
    5. Applied associate-*l* to get
      \[\color{red}{\left(\left(x \cdot \frac{1}{y}\right) \cdot {z}^{y}\right)} \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}} \leadsto \color{blue}{\left(x \cdot \left(\frac{1}{y} \cdot {z}^{y}\right)\right)} \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}\]
      5.4
    6. Applied simplify to get
      \[\left(x \cdot \color{red}{\left(\frac{1}{y} \cdot {z}^{y}\right)}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}} \leadsto \left(x \cdot \color{blue}{\frac{{z}^{y}}{y}}\right) \cdot \frac{{a}^{\left(t - 1.0\right)}}{e^{b}}\]
      5.4
    7. Using strategy rm
      5.4
    8. Applied pow-to-exp to get
      \[\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{\color{red}{{a}^{\left(t - 1.0\right)}}}{e^{b}} \leadsto \left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \frac{\color{blue}{e^{\log a \cdot \left(t - 1.0\right)}}}{e^{b}}\]
      5.4
    9. Applied div-exp to get
      \[\left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \color{red}{\frac{e^{\log a \cdot \left(t - 1.0\right)}}{e^{b}}} \leadsto \left(x \cdot \frac{{z}^{y}}{y}\right) \cdot \color{blue}{e^{\log a \cdot \left(t - 1.0\right) - b}}\]
      1.6

  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))