\[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\]
Test:
Rosa's TurbineBenchmark
Bits:
128 bits
Bits error versus v
Bits error versus w
Bits error versus r
Time: 21.3 s
Input Error: 12.1
Output Error: 0.3
Log:
Profile: 🕒
\(3 - (\left(\frac{3 - 2 \cdot v}{\frac{1 - v}{w \cdot r}}\right) * \left(\left(0.125 \cdot r\right) \cdot w\right) + \left(4.5 - \frac{\frac{2}{r}}{r}\right))_*\)
  1. Started with
    \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5\]
    12.1
  2. Applied simplify to get
    \[\color{red}{\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5} \leadsto \color{blue}{\left(\frac{2}{r \cdot r} + 3\right) - (\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) * \left({\left(w \cdot r\right)}^2\right) + 4.5)_*}\]
    0.4
  3. Using strategy rm
    0.4
  4. Applied fma-udef to get
    \[\left(\frac{2}{r \cdot r} + 3\right) - \color{red}{(\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) * \left({\left(w \cdot r\right)}^2\right) + 4.5)_*} \leadsto \left(\frac{2}{r \cdot r} + 3\right) - \color{blue}{\left(\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot {\left(w \cdot r\right)}^2 + 4.5\right)}\]
    0.4
  5. Using strategy rm
    0.4
  6. Applied square-mult to get
    \[\left(\frac{2}{r \cdot r} + 3\right) - \left(\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot \color{red}{{\left(w \cdot r\right)}^2} + 4.5\right) \leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot \color{blue}{\left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right)} + 4.5\right)\]
    0.4
  7. Applied associate-*r* to get
    \[\left(\frac{2}{r \cdot r} + 3\right) - \left(\color{red}{\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot \left(\left(w \cdot r\right) \cdot \left(w \cdot r\right)\right)} + 4.5\right) \leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\left(\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot \left(w \cdot r\right)\right) \cdot \left(w \cdot r\right)} + 4.5\right)\]
    0.3
  8. Using strategy rm
    0.3
  9. Applied add-cube-cbrt to get
    \[\left(\frac{2}{r \cdot r} + 3\right) - \left(\color{red}{\left(\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot \left(w \cdot r\right)\right)} \cdot \left(w \cdot r\right) + 4.5\right) \leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{{\left(\sqrt[3]{\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot \left(w \cdot r\right)}\right)}^3} \cdot \left(w \cdot r\right) + 4.5\right)\]
    0.6
  10. Applied taylor to get
    \[\left(\frac{2}{r \cdot r} + 3\right) - \left({\left(\sqrt[3]{\left(\left(3 - 2 \cdot v\right) \cdot \frac{0.125}{1 - v}\right) \cdot \left(w \cdot r\right)}\right)}^3 \cdot \left(w \cdot r\right) + 4.5\right) \leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\left(0.125 \cdot \frac{\left(3 - 2 \cdot v\right) \cdot \left(w \cdot r\right)}{1 - v}\right) \cdot \left(w \cdot r\right) + 4.5\right)\]
    3.2
  11. Taylor expanded around 0 to get
    \[\left(\frac{2}{r \cdot r} + 3\right) - \left(\color{red}{\left(0.125 \cdot \frac{\left(3 - 2 \cdot v\right) \cdot \left(w \cdot r\right)}{1 - v}\right)} \cdot \left(w \cdot r\right) + 4.5\right) \leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\left(0.125 \cdot \frac{\left(3 - 2 \cdot v\right) \cdot \left(w \cdot r\right)}{1 - v}\right)} \cdot \left(w \cdot r\right) + 4.5\right)\]
    3.2
  12. Applied simplify to get
    \[\left(\frac{2}{r \cdot r} + 3\right) - \left(\left(0.125 \cdot \frac{\left(3 - 2 \cdot v\right) \cdot \left(w \cdot r\right)}{1 - v}\right) \cdot \left(w \cdot r\right) + 4.5\right) \leadsto \left(\frac{\frac{2}{r}}{r} + \left(3 - 4.5\right)\right) - \left(\left(w \cdot r\right) \cdot 0.125\right) \cdot \frac{3 - v \cdot 2}{\frac{1 - v}{w \cdot r}}\]
    0.3

  13. Applied final simplification
  14. Applied simplify to get
    \[\color{red}{\left(\frac{\frac{2}{r}}{r} + \left(3 - 4.5\right)\right) - \left(\left(w \cdot r\right) \cdot 0.125\right) \cdot \frac{3 - v \cdot 2}{\frac{1 - v}{w \cdot r}}} \leadsto \color{blue}{3 - (\left(\frac{3 - 2 \cdot v}{\frac{1 - v}{w \cdot r}}\right) * \left(\left(0.125 \cdot r\right) \cdot w\right) + \left(4.5 - \frac{\frac{2}{r}}{r}\right))_*}\]
    0.3

Original test:


(lambda ((v default) (w default) (r default))
  #:name "Rosa's TurbineBenchmark"
  (- (- (+ 3 (/ 2 (* r r))) (/ (* (* 0.125 (- 3 (* 2 v))) (* (* (* w w) r) r)) (- 1 v))) 4.5))