Trowbridge-Reitz Sample, near normal, slope_y

Percentage Accurate: 98.3% → 98.3%
Time: 14.6s
Alternatives: 14
Speedup: 1.0×

Specification

?
\[\left(\left(cosTheta\_i > 0.9999 \land cosTheta\_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]
\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (sin (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * sinf((6.28318530718f * u2));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * sin((6.28318530718e0 * u2))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * sin(Float32(Float32(6.28318530718) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * sin((single(6.28318530718) * u2));
end
\begin{array}{l}

\\
\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right)
\end{array}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 14 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 98.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (sin (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * sinf((6.28318530718f * u2));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * sin((6.28318530718e0 * u2))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * sin(Float32(Float32(6.28318530718) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * sin((single(6.28318530718) * u2));
end
\begin{array}{l}

\\
\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right)
\end{array}

Alternative 1: 98.3% accurate, 0.8× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{u1}{\frac{\left(u1 + -1\right) - \left(u1 + -1\right) \cdot \left(u1 \cdot u1\right)}{\left(u1 + -1\right) \cdot \left(u1 + 1\right)}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt
   (/
    u1
    (/ (- (+ u1 -1.0) (* (+ u1 -1.0) (* u1 u1))) (* (+ u1 -1.0) (+ u1 1.0)))))
  (sin (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (((u1 + -1.0f) - ((u1 + -1.0f) * (u1 * u1))) / ((u1 + -1.0f) * (u1 + 1.0f))))) * sinf((6.28318530718f * u2));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (((u1 + (-1.0e0)) - ((u1 + (-1.0e0)) * (u1 * u1))) / ((u1 + (-1.0e0)) * (u1 + 1.0e0))))) * sin((6.28318530718e0 * u2))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(Float32(u1 + Float32(-1.0)) - Float32(Float32(u1 + Float32(-1.0)) * Float32(u1 * u1))) / Float32(Float32(u1 + Float32(-1.0)) * Float32(u1 + Float32(1.0)))))) * sin(Float32(Float32(6.28318530718) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (((u1 + single(-1.0)) - ((u1 + single(-1.0)) * (u1 * u1))) / ((u1 + single(-1.0)) * (u1 + single(1.0)))))) * sin((single(6.28318530718) * u2));
end
\begin{array}{l}

\\
\sqrt{\frac{u1}{\frac{\left(u1 + -1\right) - \left(u1 + -1\right) \cdot \left(u1 \cdot u1\right)}{\left(u1 + -1\right) \cdot \left(u1 + 1\right)}}} \cdot \sin \left(6.28318530718 \cdot u2\right)
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Applied rewrites98.7%

    \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{\left(u1 + -1\right) - \left(u1 + -1\right) \cdot \left(u1 \cdot u1\right)}{\left(u1 + -1\right) \cdot \left(u1 + 1\right)}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  4. Add Preprocessing

Alternative 2: 98.3% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{\frac{-1 + u1 \cdot u1}{-1 - u1}}} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sin (* 6.28318530718 u2))
  (sqrt (/ u1 (/ (+ -1.0 (* u1 u1)) (- -1.0 u1))))))
float code(float cosTheta_i, float u1, float u2) {
	return sinf((6.28318530718f * u2)) * sqrtf((u1 / ((-1.0f + (u1 * u1)) / (-1.0f - u1))));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sin((6.28318530718e0 * u2)) * sqrt((u1 / (((-1.0e0) + (u1 * u1)) / ((-1.0e0) - u1))))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sin(Float32(Float32(6.28318530718) * u2)) * sqrt(Float32(u1 / Float32(Float32(Float32(-1.0) + Float32(u1 * u1)) / Float32(Float32(-1.0) - u1)))))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sin((single(6.28318530718) * u2)) * sqrt((u1 / ((single(-1.0) + (u1 * u1)) / (single(-1.0) - u1))));
end
\begin{array}{l}

\\
\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{\frac{-1 + u1 \cdot u1}{-1 - u1}}}
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. sub-negN/A

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    2. +-commutativeN/A

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) + 1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    3. flip-+N/A

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{\left(\mathsf{neg}\left(u1\right)\right) \cdot \left(\mathsf{neg}\left(u1\right)\right) - 1 \cdot 1}{\left(\mathsf{neg}\left(u1\right)\right) - 1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    4. sqr-negN/A

      \[\leadsto \sqrt{\frac{u1}{\frac{\color{blue}{u1 \cdot u1} - 1 \cdot 1}{\left(\mathsf{neg}\left(u1\right)\right) - 1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    5. lower-/.f32N/A

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{u1 \cdot u1 - 1 \cdot 1}{\left(\mathsf{neg}\left(u1\right)\right) - 1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    6. metadata-evalN/A

      \[\leadsto \sqrt{\frac{u1}{\frac{u1 \cdot u1 - \color{blue}{1}}{\left(\mathsf{neg}\left(u1\right)\right) - 1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    7. lower--.f32N/A

      \[\leadsto \sqrt{\frac{u1}{\frac{\color{blue}{u1 \cdot u1 - 1}}{\left(\mathsf{neg}\left(u1\right)\right) - 1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    8. lower-*.f32N/A

      \[\leadsto \sqrt{\frac{u1}{\frac{\color{blue}{u1 \cdot u1} - 1}{\left(\mathsf{neg}\left(u1\right)\right) - 1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    9. lower--.f32N/A

      \[\leadsto \sqrt{\frac{u1}{\frac{u1 \cdot u1 - 1}{\color{blue}{\left(\mathsf{neg}\left(u1\right)\right) - 1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    10. lower-neg.f3298.7

      \[\leadsto \sqrt{\frac{u1}{\frac{u1 \cdot u1 - 1}{\color{blue}{\left(-u1\right)} - 1}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  4. Applied rewrites98.7%

    \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{u1 \cdot u1 - 1}{\left(-u1\right) - 1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  5. Final simplification98.7%

    \[\leadsto \sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{\frac{-1 + u1 \cdot u1}{-1 - u1}}} \]
  6. Add Preprocessing

Alternative 3: 93.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\\ \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.4000000059604645:\\ \;\;\;\;\sqrt{\frac{\frac{1}{u1 + -1}}{\frac{-1}{u1}}} \cdot \left(u2 \cdot \left(t\_0 \cdot \left(\frac{6.28318530718}{t\_0} + \left(81.6052492761019 + \frac{-41.341702240407926}{u2 \cdot u2}\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (* (* u2 u2) (* u2 u2))))
   (if (<= (* 6.28318530718 u2) 0.4000000059604645)
     (*
      (sqrt (/ (/ 1.0 (+ u1 -1.0)) (/ -1.0 u1)))
      (*
       u2
       (*
        t_0
        (+
         (/ 6.28318530718 t_0)
         (+ 81.6052492761019 (/ -41.341702240407926 (* u2 u2)))))))
     (* (sin (* 6.28318530718 u2)) (sqrt u1)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = (u2 * u2) * (u2 * u2);
	float tmp;
	if ((6.28318530718f * u2) <= 0.4000000059604645f) {
		tmp = sqrtf(((1.0f / (u1 + -1.0f)) / (-1.0f / u1))) * (u2 * (t_0 * ((6.28318530718f / t_0) + (81.6052492761019f + (-41.341702240407926f / (u2 * u2))))));
	} else {
		tmp = sinf((6.28318530718f * u2)) * sqrtf(u1);
	}
	return tmp;
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    real(4) :: t_0
    real(4) :: tmp
    t_0 = (u2 * u2) * (u2 * u2)
    if ((6.28318530718e0 * u2) <= 0.4000000059604645e0) then
        tmp = sqrt(((1.0e0 / (u1 + (-1.0e0))) / ((-1.0e0) / u1))) * (u2 * (t_0 * ((6.28318530718e0 / t_0) + (81.6052492761019e0 + ((-41.341702240407926e0) / (u2 * u2))))))
    else
        tmp = sin((6.28318530718e0 * u2)) * sqrt(u1)
    end if
    code = tmp
end function
function code(cosTheta_i, u1, u2)
	t_0 = Float32(Float32(u2 * u2) * Float32(u2 * u2))
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.4000000059604645))
		tmp = Float32(sqrt(Float32(Float32(Float32(1.0) / Float32(u1 + Float32(-1.0))) / Float32(Float32(-1.0) / u1))) * Float32(u2 * Float32(t_0 * Float32(Float32(Float32(6.28318530718) / t_0) + Float32(Float32(81.6052492761019) + Float32(Float32(-41.341702240407926) / Float32(u2 * u2)))))));
	else
		tmp = Float32(sin(Float32(Float32(6.28318530718) * u2)) * sqrt(u1));
	end
	return tmp
end
function tmp_2 = code(cosTheta_i, u1, u2)
	t_0 = (u2 * u2) * (u2 * u2);
	tmp = single(0.0);
	if ((single(6.28318530718) * u2) <= single(0.4000000059604645))
		tmp = sqrt(((single(1.0) / (u1 + single(-1.0))) / (single(-1.0) / u1))) * (u2 * (t_0 * ((single(6.28318530718) / t_0) + (single(81.6052492761019) + (single(-41.341702240407926) / (u2 * u2))))));
	else
		tmp = sin((single(6.28318530718) * u2)) * sqrt(u1);
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\\
\mathbf{if}\;6.28318530718 \cdot u2 \leq 0.4000000059604645:\\
\;\;\;\;\sqrt{\frac{\frac{1}{u1 + -1}}{\frac{-1}{u1}}} \cdot \left(u2 \cdot \left(t\_0 \cdot \left(\frac{6.28318530718}{t\_0} + \left(81.6052492761019 + \frac{-41.341702240407926}{u2 \cdot u2}\right)\right)\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.400000006

    1. Initial program 98.8%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      2. clear-numN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      3. div-invN/A

        \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. associate-/r*N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. frac-2negN/A

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      6. distribute-frac-neg2N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      7. lower-/.f32N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      8. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      9. neg-sub0N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lift--.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      11. associate--r-N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      12. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      13. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      14. lower-+.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      15. lower-neg.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      16. lower-/.f3298.5

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites98.5%

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    6. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
      2. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
      3. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
      4. associate-*l*N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
      5. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      7. sub-negN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      8. *-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
      10. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      12. lower-*.f3288.3

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    7. Applied rewrites88.3%

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
    8. Taylor expanded in u2 around inf

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{4} \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)}\right) \]
    9. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{4} \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)}\right) \]
      2. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left({u2}^{\color{blue}{\left(2 \cdot 2\right)}} \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      3. pow-sqrN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left({u2}^{2} \cdot {u2}^{2}\right)} \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      4. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left({u2}^{2} \cdot {u2}^{2}\right)} \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      5. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\color{blue}{\left(u2 \cdot u2\right)} \cdot {u2}^{2}\right) \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\color{blue}{\left(u2 \cdot u2\right)} \cdot {u2}^{2}\right) \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      7. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \color{blue}{\left(u2 \cdot u2\right)}\right) \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      8. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \color{blue}{\left(u2 \cdot u2\right)}\right) \cdot \left(\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{\frac{314159265359}{50000000000}}{{u2}^{4}}\right) - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\color{blue}{\left(\frac{\frac{314159265359}{50000000000}}{{u2}^{4}} + \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}\right)} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \color{blue}{\left(\frac{\frac{314159265359}{50000000000}}{{u2}^{4}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)}\right)\right) \]
      11. lower-+.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \color{blue}{\left(\frac{\frac{314159265359}{50000000000}}{{u2}^{4}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)}\right)\right) \]
      12. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\color{blue}{\frac{\frac{314159265359}{50000000000}}{{u2}^{4}}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{{u2}^{\color{blue}{\left(2 \cdot 2\right)}}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      14. pow-sqrN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\color{blue}{{u2}^{2} \cdot {u2}^{2}}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      15. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\color{blue}{{u2}^{2} \cdot {u2}^{2}}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      16. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\color{blue}{\left(u2 \cdot u2\right)} \cdot {u2}^{2}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      17. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\color{blue}{\left(u2 \cdot u2\right)} \cdot {u2}^{2}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      18. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\left(u2 \cdot u2\right) \cdot \color{blue}{\left(u2 \cdot u2\right)}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      19. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\left(u2 \cdot u2\right) \cdot \color{blue}{\left(u2 \cdot u2\right)}} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)\right) \]
      20. sub-negN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)} + \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)}\right)\right)\right) \]
      21. lower-+.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)} + \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot \frac{1}{{u2}^{2}}\right)\right)\right)}\right)\right)\right) \]
      22. associate-*r/N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \left(\mathsf{neg}\left(\color{blue}{\frac{\frac{31006276680305942139213528068663279}{750000000000000000000000000000000} \cdot 1}{{u2}^{2}}}\right)\right)\right)\right)\right)\right) \]
      23. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \left(\mathsf{neg}\left(\frac{\color{blue}{\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}}}{{u2}^{2}}\right)\right)\right)\right)\right)\right) \]
      24. distribute-neg-fracN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{\frac{314159265359}{50000000000}}{\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)} + \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}{{u2}^{2}}}\right)\right)\right)\right) \]
    10. Applied rewrites97.3%

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \color{blue}{\left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{6.28318530718}{\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)} + \left(81.6052492761019 + \frac{-41.341702240407926}{u2 \cdot u2}\right)\right)\right)}\right) \]

    if 0.400000006 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

    1. Initial program 98.2%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u1 around 0

      \[\leadsto \color{blue}{\sqrt{u1} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right)} \]
    4. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \color{blue}{\sqrt{u1} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right)} \]
      2. lower-sqrt.f32N/A

        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      3. lower-sin.f32N/A

        \[\leadsto \sqrt{u1} \cdot \color{blue}{\sin \left(\frac{314159265359}{50000000000} \cdot u2\right)} \]
      4. lower-*.f3275.8

        \[\leadsto \sqrt{u1} \cdot \sin \color{blue}{\left(6.28318530718 \cdot u2\right)} \]
    5. Applied rewrites75.8%

      \[\leadsto \color{blue}{\sqrt{u1} \cdot \sin \left(6.28318530718 \cdot u2\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification93.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.4000000059604645:\\ \;\;\;\;\sqrt{\frac{\frac{1}{u1 + -1}}{\frac{-1}{u1}}} \cdot \left(u2 \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{6.28318530718}{\left(u2 \cdot u2\right) \cdot \left(u2 \cdot u2\right)} + \left(81.6052492761019 + \frac{-41.341702240407926}{u2 \cdot u2}\right)\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\ \end{array} \]
  5. Add Preprocessing

Alternative 4: 98.3% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sin (* 6.28318530718 u2)) (sqrt (/ u1 (- 1.0 u1)))))
float code(float cosTheta_i, float u1, float u2) {
	return sinf((6.28318530718f * u2)) * sqrtf((u1 / (1.0f - u1)));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sin((6.28318530718e0 * u2)) * sqrt((u1 / (1.0e0 - u1)))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sin(Float32(Float32(6.28318530718) * u2)) * sqrt(Float32(u1 / Float32(Float32(1.0) - u1))))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sin((single(6.28318530718) * u2)) * sqrt((u1 / (single(1.0) - u1)));
end
\begin{array}{l}

\\
\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Final simplification98.7%

    \[\leadsto \sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}} \]
  4. Add Preprocessing

Alternative 5: 94.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.1899999976158142:\\ \;\;\;\;t\_0 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) + u2 \cdot \left(6.28318530718 \cdot t\_0\right)\\ \mathbf{else}:\\ \;\;\;\;\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1)))))
   (if (<= (* 6.28318530718 u2) 0.1899999976158142)
     (+
      (*
       t_0
       (*
        (* u2 u2)
        (* u2 (fma u2 (* u2 81.6052492761019) -41.341702240407926))))
      (* u2 (* 6.28318530718 t_0)))
     (* (sin (* 6.28318530718 u2)) (sqrt u1)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = sqrtf((u1 / (1.0f - u1)));
	float tmp;
	if ((6.28318530718f * u2) <= 0.1899999976158142f) {
		tmp = (t_0 * ((u2 * u2) * (u2 * fmaf(u2, (u2 * 81.6052492761019f), -41.341702240407926f)))) + (u2 * (6.28318530718f * t_0));
	} else {
		tmp = sinf((6.28318530718f * u2)) * sqrtf(u1);
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.1899999976158142))
		tmp = Float32(Float32(t_0 * Float32(Float32(u2 * u2) * Float32(u2 * fma(u2, Float32(u2 * Float32(81.6052492761019)), Float32(-41.341702240407926))))) + Float32(u2 * Float32(Float32(6.28318530718) * t_0)));
	else
		tmp = Float32(sin(Float32(Float32(6.28318530718) * u2)) * sqrt(u1));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\frac{u1}{1 - u1}}\\
\mathbf{if}\;6.28318530718 \cdot u2 \leq 0.1899999976158142:\\
\;\;\;\;t\_0 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) + u2 \cdot \left(6.28318530718 \cdot t\_0\right)\\

\mathbf{else}:\\
\;\;\;\;\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.189999998

    1. Initial program 98.8%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      2. clear-numN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      3. div-invN/A

        \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. associate-/r*N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. frac-2negN/A

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      6. distribute-frac-neg2N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      7. lower-/.f32N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      8. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      9. neg-sub0N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lift--.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      11. associate--r-N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      12. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      13. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      14. lower-+.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      15. lower-neg.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      16. lower-/.f3298.5

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites98.5%

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    6. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
      2. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
      3. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
      4. associate-*l*N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
      5. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      7. sub-negN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      8. *-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
      10. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      12. lower-*.f3290.3

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    7. Applied rewrites90.3%

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
    8. Applied rewrites97.9%

      \[\leadsto \color{blue}{\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) \cdot \sqrt{\frac{u1}{1 - u1}} + u2 \cdot \left(6.28318530718 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]

    if 0.189999998 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

    1. Initial program 98.2%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u1 around 0

      \[\leadsto \color{blue}{\sqrt{u1} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right)} \]
    4. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \color{blue}{\sqrt{u1} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right)} \]
      2. lower-sqrt.f32N/A

        \[\leadsto \color{blue}{\sqrt{u1}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      3. lower-sin.f32N/A

        \[\leadsto \sqrt{u1} \cdot \color{blue}{\sin \left(\frac{314159265359}{50000000000} \cdot u2\right)} \]
      4. lower-*.f3276.3

        \[\leadsto \sqrt{u1} \cdot \sin \color{blue}{\left(6.28318530718 \cdot u2\right)} \]
    5. Applied rewrites76.3%

      \[\leadsto \color{blue}{\sqrt{u1} \cdot \sin \left(6.28318530718 \cdot u2\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification93.6%

    \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.1899999976158142:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) + u2 \cdot \left(6.28318530718 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\ \mathbf{else}:\\ \;\;\;\;\sin \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\ \end{array} \]
  5. Add Preprocessing

Alternative 6: 89.4% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ u2 \cdot \left(6.28318530718 \cdot t\_0\right) + \left(\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) \cdot \left(u2 \cdot t\_0\right) \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1)))))
   (+
    (* u2 (* 6.28318530718 t_0))
    (*
     (* (* u2 u2) (fma u2 (* u2 81.6052492761019) -41.341702240407926))
     (* u2 t_0)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = sqrtf((u1 / (1.0f - u1)));
	return (u2 * (6.28318530718f * t_0)) + (((u2 * u2) * fmaf(u2, (u2 * 81.6052492761019f), -41.341702240407926f)) * (u2 * t_0));
}
function code(cosTheta_i, u1, u2)
	t_0 = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
	return Float32(Float32(u2 * Float32(Float32(6.28318530718) * t_0)) + Float32(Float32(Float32(u2 * u2) * fma(u2, Float32(u2 * Float32(81.6052492761019)), Float32(-41.341702240407926))) * Float32(u2 * t_0)))
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\frac{u1}{1 - u1}}\\
u2 \cdot \left(6.28318530718 \cdot t\_0\right) + \left(\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) \cdot \left(u2 \cdot t\_0\right)
\end{array}
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift--.f32N/A

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    2. clear-numN/A

      \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    3. div-invN/A

      \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    4. associate-/r*N/A

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    5. frac-2negN/A

      \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    6. distribute-frac-neg2N/A

      \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    7. lower-/.f32N/A

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    8. lower-/.f32N/A

      \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    9. neg-sub0N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    10. lift--.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    11. associate--r-N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    12. metadata-evalN/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    13. +-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    14. lower-+.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    15. lower-neg.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    16. lower-/.f3298.4

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  4. Applied rewrites98.4%

    \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  5. Taylor expanded in u2 around 0

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
  6. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    2. +-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
    3. unpow2N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
    4. associate-*l*N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    5. lower-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
    6. lower-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    7. sub-negN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    8. *-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
    9. metadata-evalN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
    10. lower-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    11. unpow2N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
    12. lower-*.f3278.0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
  7. Applied rewrites78.0%

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
  8. Applied rewrites87.0%

    \[\leadsto \color{blue}{\left(\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) + u2 \cdot \left(6.28318530718 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
  9. Final simplification87.0%

    \[\leadsto u2 \cdot \left(6.28318530718 \cdot \sqrt{\frac{u1}{1 - u1}}\right) + \left(\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \]
  10. Add Preprocessing

Alternative 7: 89.4% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ t\_0 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) + u2 \cdot \left(6.28318530718 \cdot t\_0\right) \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1)))))
   (+
    (*
     t_0
     (* (* u2 u2) (* u2 (fma u2 (* u2 81.6052492761019) -41.341702240407926))))
    (* u2 (* 6.28318530718 t_0)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = sqrtf((u1 / (1.0f - u1)));
	return (t_0 * ((u2 * u2) * (u2 * fmaf(u2, (u2 * 81.6052492761019f), -41.341702240407926f)))) + (u2 * (6.28318530718f * t_0));
}
function code(cosTheta_i, u1, u2)
	t_0 = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
	return Float32(Float32(t_0 * Float32(Float32(u2 * u2) * Float32(u2 * fma(u2, Float32(u2 * Float32(81.6052492761019)), Float32(-41.341702240407926))))) + Float32(u2 * Float32(Float32(6.28318530718) * t_0)))
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\frac{u1}{1 - u1}}\\
t\_0 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) + u2 \cdot \left(6.28318530718 \cdot t\_0\right)
\end{array}
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift--.f32N/A

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    2. clear-numN/A

      \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    3. div-invN/A

      \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    4. associate-/r*N/A

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    5. frac-2negN/A

      \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    6. distribute-frac-neg2N/A

      \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    7. lower-/.f32N/A

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    8. lower-/.f32N/A

      \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    9. neg-sub0N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    10. lift--.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    11. associate--r-N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    12. metadata-evalN/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    13. +-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    14. lower-+.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    15. lower-neg.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    16. lower-/.f3298.4

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  4. Applied rewrites98.4%

    \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  5. Taylor expanded in u2 around 0

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
  6. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    2. +-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
    3. unpow2N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
    4. associate-*l*N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    5. lower-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
    6. lower-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    7. sub-negN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    8. *-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
    9. metadata-evalN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
    10. lower-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    11. unpow2N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
    12. lower-*.f3278.0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
  7. Applied rewrites78.0%

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
  8. Applied rewrites87.0%

    \[\leadsto \color{blue}{\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) \cdot \sqrt{\frac{u1}{1 - u1}} + u2 \cdot \left(6.28318530718 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
  9. Final simplification87.0%

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) + u2 \cdot \left(6.28318530718 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \]
  10. Add Preprocessing

Alternative 8: 89.3% accurate, 1.7× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{\frac{1}{u1 + -1}}{\frac{-1}{u1}}} \cdot \left(u2 \cdot \left(6.28318530718 + \left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (/ (/ 1.0 (+ u1 -1.0)) (/ -1.0 u1)))
  (*
   u2
   (+
    6.28318530718
    (* (* u2 u2) (fma u2 (* u2 81.6052492761019) -41.341702240407926))))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(((1.0f / (u1 + -1.0f)) / (-1.0f / u1))) * (u2 * (6.28318530718f + ((u2 * u2) * fmaf(u2, (u2 * 81.6052492761019f), -41.341702240407926f))));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(Float32(Float32(1.0) / Float32(u1 + Float32(-1.0))) / Float32(Float32(-1.0) / u1))) * Float32(u2 * Float32(Float32(6.28318530718) + Float32(Float32(u2 * u2) * fma(u2, Float32(u2 * Float32(81.6052492761019)), Float32(-41.341702240407926))))))
end
\begin{array}{l}

\\
\sqrt{\frac{\frac{1}{u1 + -1}}{\frac{-1}{u1}}} \cdot \left(u2 \cdot \left(6.28318530718 + \left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right)
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift--.f32N/A

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    2. clear-numN/A

      \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    3. div-invN/A

      \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    4. associate-/r*N/A

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    5. frac-2negN/A

      \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    6. distribute-frac-neg2N/A

      \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    7. lower-/.f32N/A

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    8. lower-/.f32N/A

      \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    9. neg-sub0N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    10. lift--.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    11. associate--r-N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    12. metadata-evalN/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    13. +-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    14. lower-+.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    15. lower-neg.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    16. lower-/.f3298.4

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  4. Applied rewrites98.4%

    \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  5. Taylor expanded in u2 around 0

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
  6. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    2. +-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
    3. unpow2N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
    4. associate-*l*N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    5. lower-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
    6. lower-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    7. sub-negN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    8. *-commutativeN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
    9. metadata-evalN/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
    10. lower-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
    11. unpow2N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
    12. lower-*.f3278.0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
  7. Applied rewrites78.0%

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
  8. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(u2 \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right) + \frac{314159265359}{50000000000}\right)\right) \]
    2. lift-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(u2 \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}\right) + \frac{314159265359}{50000000000}\right)\right) \]
    3. lift-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(u2 \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    4. lower-+.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left(u2 \cdot \left(u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right) + \frac{314159265359}{50000000000}\right)}\right) \]
    5. lift-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(u2 \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    6. associate-*r*N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    7. lift-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
    8. lower-*.f3286.9

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right)} + 6.28318530718\right)\right) \]
    9. lift-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \color{blue}{\left(\left(u2 \cdot u2\right) \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    10. lift-*.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
    11. associate-*l*N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}\right)} + \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
    12. lower-fma.f32N/A

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)} + \frac{314159265359}{50000000000}\right)\right) \]
    13. lower-*.f3286.9

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot 81.6052492761019}, -41.341702240407926\right) + 6.28318530718\right)\right) \]
  9. Applied rewrites86.9%

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \color{blue}{\left(\left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right) + 6.28318530718\right)}\right) \]
  10. Final simplification86.9%

    \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\frac{-1}{u1}}} \cdot \left(u2 \cdot \left(6.28318530718 + \left(u2 \cdot u2\right) \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right) \]
  11. Add Preprocessing

Alternative 9: 86.0% accurate, 1.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\ \;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \left(u2 \cdot 81.6052492761019\right)\right) + \left(\left(u2 \cdot u2\right) \cdot -41.341702240407926 - -6.28318530718\right)\right)\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (* 6.28318530718 u2) 0.006500000134110451)
   (* 6.28318530718 (* u2 (sqrt (/ u1 (- 1.0 u1)))))
   (*
    (sqrt (fma u1 u1 u1))
    (*
     u2
     (+
      (* (* u2 u2) (* u2 (* u2 81.6052492761019)))
      (- (* (* u2 u2) -41.341702240407926) -6.28318530718))))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if ((6.28318530718f * u2) <= 0.006500000134110451f) {
		tmp = 6.28318530718f * (u2 * sqrtf((u1 / (1.0f - u1))));
	} else {
		tmp = sqrtf(fmaf(u1, u1, u1)) * (u2 * (((u2 * u2) * (u2 * (u2 * 81.6052492761019f))) + (((u2 * u2) * -41.341702240407926f) - -6.28318530718f)));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.006500000134110451))
		tmp = Float32(Float32(6.28318530718) * Float32(u2 * sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))));
	else
		tmp = Float32(sqrt(fma(u1, u1, u1)) * Float32(u2 * Float32(Float32(Float32(u2 * u2) * Float32(u2 * Float32(u2 * Float32(81.6052492761019)))) + Float32(Float32(Float32(u2 * u2) * Float32(-41.341702240407926)) - Float32(-6.28318530718)))));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\
\;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \left(u2 \cdot 81.6052492761019\right)\right) + \left(\left(u2 \cdot u2\right) \cdot -41.341702240407926 - -6.28318530718\right)\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.00650000013

    1. Initial program 98.7%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u2 around 0

      \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot u2\right)} \]
    4. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
      2. associate-*r*N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
      3. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
      4. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)} \cdot \sqrt{\frac{u1}{1 - u1}} \]
      5. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1 \cdot 1}}{1 - u1}} \]
      6. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}} \]
      7. rgt-mult-inverseN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      8. mul-1-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\color{blue}{\mathsf{neg}\left(u1\right)}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      9. distribute-neg-frac2N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      10. mul-1-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{-1 \cdot u1}}} \]
      11. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{\left(-1 \cdot u1\right) \cdot 1}}} \]
      12. distribute-lft-inN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
      13. +-commutativeN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
      14. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 - \frac{1}{u1}\right)}}} \]
      15. associate-*r*N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      16. lower-sqrt.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      17. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1}}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}} \]
      18. lower-/.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      19. associate-*r*N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)}}} \]
      20. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
      21. +-commutativeN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
    5. Applied rewrites96.9%

      \[\leadsto \color{blue}{\left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    6. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \]
      2. lift-/.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{1 - u1}}} \]
      3. lift-sqrt.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      4. associate-*l*N/A

        \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
      5. *-commutativeN/A

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
      6. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
      7. lower-*.f3297.0

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \cdot 6.28318530718 \]
    7. Applied rewrites97.0%

      \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot 6.28318530718} \]

    if 0.00650000013 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

    1. Initial program 98.7%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      2. clear-numN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      3. div-invN/A

        \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. associate-/r*N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. frac-2negN/A

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      6. distribute-frac-neg2N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      7. lower-/.f32N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      8. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      9. neg-sub0N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lift--.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      11. associate--r-N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      12. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      13. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      14. lower-+.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      15. lower-neg.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      16. lower-/.f3298.4

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites98.4%

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    6. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
      2. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
      3. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
      4. associate-*l*N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
      5. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      7. sub-negN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      8. *-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
      10. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      12. lower-*.f3244.2

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    7. Applied rewrites44.2%

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
    8. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
    9. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(u1 + 1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      2. distribute-lft-inN/A

        \[\leadsto \sqrt{\color{blue}{u1 \cdot u1 + u1 \cdot 1}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      3. *-rgt-identityN/A

        \[\leadsto \sqrt{u1 \cdot u1 + \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      4. lower-fma.f3241.3

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    10. Applied rewrites41.3%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    11. Applied rewrites59.3%

      \[\leadsto \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \left(u2 \cdot 81.6052492761019\right)\right) + \left(\left(u2 \cdot u2\right) \cdot -41.341702240407926 - -6.28318530718\right)\right)}\right) \]
  3. Recombined 2 regimes into one program.
  4. Final simplification83.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\ \;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \left(u2 \cdot 81.6052492761019\right)\right) + \left(\left(u2 \cdot u2\right) \cdot -41.341702240407926 - -6.28318530718\right)\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 10: 84.6% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\ \;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(6.28318530718 \cdot u2 + \left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (* 6.28318530718 u2) 0.006500000134110451)
   (* 6.28318530718 (* u2 (sqrt (/ u1 (- 1.0 u1)))))
   (*
    (sqrt (fma u1 u1 u1))
    (+
     (* 6.28318530718 u2)
     (*
      (* u2 u2)
      (* u2 (fma u2 (* u2 81.6052492761019) -41.341702240407926)))))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if ((6.28318530718f * u2) <= 0.006500000134110451f) {
		tmp = 6.28318530718f * (u2 * sqrtf((u1 / (1.0f - u1))));
	} else {
		tmp = sqrtf(fmaf(u1, u1, u1)) * ((6.28318530718f * u2) + ((u2 * u2) * (u2 * fmaf(u2, (u2 * 81.6052492761019f), -41.341702240407926f))));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.006500000134110451))
		tmp = Float32(Float32(6.28318530718) * Float32(u2 * sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))));
	else
		tmp = Float32(sqrt(fma(u1, u1, u1)) * Float32(Float32(Float32(6.28318530718) * u2) + Float32(Float32(u2 * u2) * Float32(u2 * fma(u2, Float32(u2 * Float32(81.6052492761019)), Float32(-41.341702240407926))))));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\
\;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(6.28318530718 \cdot u2 + \left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.00650000013

    1. Initial program 98.7%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u2 around 0

      \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot u2\right)} \]
    4. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
      2. associate-*r*N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
      3. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
      4. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)} \cdot \sqrt{\frac{u1}{1 - u1}} \]
      5. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1 \cdot 1}}{1 - u1}} \]
      6. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}} \]
      7. rgt-mult-inverseN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      8. mul-1-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\color{blue}{\mathsf{neg}\left(u1\right)}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      9. distribute-neg-frac2N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      10. mul-1-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{-1 \cdot u1}}} \]
      11. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{\left(-1 \cdot u1\right) \cdot 1}}} \]
      12. distribute-lft-inN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
      13. +-commutativeN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
      14. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 - \frac{1}{u1}\right)}}} \]
      15. associate-*r*N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      16. lower-sqrt.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      17. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1}}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}} \]
      18. lower-/.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      19. associate-*r*N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)}}} \]
      20. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
      21. +-commutativeN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
    5. Applied rewrites96.9%

      \[\leadsto \color{blue}{\left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    6. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \]
      2. lift-/.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{1 - u1}}} \]
      3. lift-sqrt.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      4. associate-*l*N/A

        \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
      5. *-commutativeN/A

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
      6. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
      7. lower-*.f3297.0

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \cdot 6.28318530718 \]
    7. Applied rewrites97.0%

      \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot 6.28318530718} \]

    if 0.00650000013 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

    1. Initial program 98.7%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      2. clear-numN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      3. div-invN/A

        \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. associate-/r*N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. frac-2negN/A

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      6. distribute-frac-neg2N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      7. lower-/.f32N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      8. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      9. neg-sub0N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lift--.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      11. associate--r-N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      12. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      13. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      14. lower-+.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      15. lower-neg.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      16. lower-/.f3298.4

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites98.4%

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    6. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
      2. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
      3. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
      4. associate-*l*N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
      5. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      7. sub-negN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      8. *-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
      10. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      12. lower-*.f3244.2

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    7. Applied rewrites44.2%

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
    8. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
    9. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(u1 + 1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      2. distribute-lft-inN/A

        \[\leadsto \sqrt{\color{blue}{u1 \cdot u1 + u1 \cdot 1}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      3. *-rgt-identityN/A

        \[\leadsto \sqrt{u1 \cdot u1 + \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      4. lower-fma.f3241.3

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    10. Applied rewrites41.3%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    11. Applied rewrites54.8%

      \[\leadsto \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \color{blue}{\left(\left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) + 6.28318530718 \cdot u2\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification82.3%

    \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\ \;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(6.28318530718 \cdot u2 + \left(u2 \cdot u2\right) \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 11: 84.6% accurate, 2.2× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\ \;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \left(u2 \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) - -6.28318530718\right)\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (* 6.28318530718 u2) 0.006500000134110451)
   (* 6.28318530718 (* u2 (sqrt (/ u1 (- 1.0 u1)))))
   (*
    (sqrt (fma u1 u1 u1))
    (*
     u2
     (-
      (* u2 (* u2 (fma u2 (* u2 81.6052492761019) -41.341702240407926)))
      -6.28318530718)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if ((6.28318530718f * u2) <= 0.006500000134110451f) {
		tmp = 6.28318530718f * (u2 * sqrtf((u1 / (1.0f - u1))));
	} else {
		tmp = sqrtf(fmaf(u1, u1, u1)) * (u2 * ((u2 * (u2 * fmaf(u2, (u2 * 81.6052492761019f), -41.341702240407926f))) - -6.28318530718f));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.006500000134110451))
		tmp = Float32(Float32(6.28318530718) * Float32(u2 * sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))));
	else
		tmp = Float32(sqrt(fma(u1, u1, u1)) * Float32(u2 * Float32(Float32(u2 * Float32(u2 * fma(u2, Float32(u2 * Float32(81.6052492761019)), Float32(-41.341702240407926)))) - Float32(-6.28318530718))));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\
\;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \left(u2 \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) - -6.28318530718\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.00650000013

    1. Initial program 98.7%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Taylor expanded in u2 around 0

      \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot u2\right)} \]
    4. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
      2. associate-*r*N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
      3. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
      4. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)} \cdot \sqrt{\frac{u1}{1 - u1}} \]
      5. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1 \cdot 1}}{1 - u1}} \]
      6. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}} \]
      7. rgt-mult-inverseN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      8. mul-1-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\color{blue}{\mathsf{neg}\left(u1\right)}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      9. distribute-neg-frac2N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
      10. mul-1-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{-1 \cdot u1}}} \]
      11. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{\left(-1 \cdot u1\right) \cdot 1}}} \]
      12. distribute-lft-inN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
      13. +-commutativeN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
      14. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 - \frac{1}{u1}\right)}}} \]
      15. associate-*r*N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      16. lower-sqrt.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      17. *-rgt-identityN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1}}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}} \]
      18. lower-/.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
      19. associate-*r*N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)}}} \]
      20. sub-negN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
      21. +-commutativeN/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
    5. Applied rewrites96.9%

      \[\leadsto \color{blue}{\left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    6. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \]
      2. lift-/.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{1 - u1}}} \]
      3. lift-sqrt.f32N/A

        \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      4. associate-*l*N/A

        \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
      5. *-commutativeN/A

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
      6. lower-*.f32N/A

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
      7. lower-*.f3297.0

        \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \cdot 6.28318530718 \]
    7. Applied rewrites97.0%

      \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot 6.28318530718} \]

    if 0.00650000013 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

    1. Initial program 98.7%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      2. clear-numN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{1 - u1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      3. div-invN/A

        \[\leadsto \sqrt{\frac{1}{\color{blue}{\left(1 - u1\right) \cdot \frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. associate-/r*N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{1 - u1}}{\frac{1}{u1}}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. frac-2negN/A

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{neg}\left(\frac{1}{1 - u1}\right)}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      6. distribute-frac-neg2N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      7. lower-/.f32N/A

        \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      8. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{\color{blue}{\frac{1}{\mathsf{neg}\left(\left(1 - u1\right)\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      9. neg-sub0N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{0 - \left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lift--.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{0 - \color{blue}{\left(1 - u1\right)}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      11. associate--r-N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{\left(0 - 1\right) + u1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      12. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{-1} + u1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      13. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      14. lower-+.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{\color{blue}{u1 + -1}}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      15. lower-neg.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\color{blue}{\mathsf{neg}\left(\frac{1}{u1}\right)}}} \cdot \sin \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      16. lower-/.f3298.4

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\color{blue}{\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites98.4%

      \[\leadsto \sqrt{\color{blue}{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
    6. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \color{blue}{\left(u2 \cdot \left(\frac{314159265359}{50000000000} + {u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)} \]
      2. +-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\left({u2}^{2} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)}\right) \]
      3. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{\left(u2 \cdot u2\right)} \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right) + \frac{314159265359}{50000000000}\right)\right) \]
      4. associate-*l*N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \left(\color{blue}{u2 \cdot \left(u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)} + \frac{314159265359}{50000000000}\right)\right) \]
      5. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(u2, u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)}\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, \color{blue}{u2 \cdot \left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      7. sub-negN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\left(\frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      8. *-commutativeN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left(\color{blue}{{u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}} + \left(\mathsf{neg}\left(\frac{31006276680305942139213528068663279}{750000000000000000000000000000000}\right)\right)\right), \frac{314159265359}{50000000000}\right)\right) \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \left({u2}^{2} \cdot \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000} + \color{blue}{\frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}}\right), \frac{314159265359}{50000000000}\right)\right) \]
      10. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \color{blue}{\mathsf{fma}\left({u2}^{2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right)}, \frac{314159265359}{50000000000}\right)\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{\mathsf{neg}\left(\frac{1}{u1}\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      12. lower-*.f3244.2

        \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(\color{blue}{u2 \cdot u2}, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    7. Applied rewrites44.2%

      \[\leadsto \sqrt{\frac{\frac{1}{u1 + -1}}{-\frac{1}{u1}}} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right)} \]
    8. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
    9. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(u1 + 1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      2. distribute-lft-inN/A

        \[\leadsto \sqrt{\color{blue}{u1 \cdot u1 + u1 \cdot 1}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      3. *-rgt-identityN/A

        \[\leadsto \sqrt{u1 \cdot u1 + \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{3060196847853821555298148281676017575122444629042460390799}{37500000000000000000000000000000000000000000000000000000}, \frac{-31006276680305942139213528068663279}{750000000000000000000000000000000}\right), \frac{314159265359}{50000000000}\right)\right) \]
      4. lower-fma.f3241.3

        \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    10. Applied rewrites41.3%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot \mathsf{fma}\left(u2 \cdot u2, 81.6052492761019, -41.341702240407926\right), 6.28318530718\right)\right) \]
    11. Applied rewrites54.7%

      \[\leadsto \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(u2 \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) - -6.28318530718\right)}\right) \]
  3. Recombined 2 regimes into one program.
  4. Final simplification82.3%

    \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.006500000134110451:\\ \;\;\;\;6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \left(u2 \cdot \left(u2 \cdot \left(u2 \cdot \mathsf{fma}\left(u2, u2 \cdot 81.6052492761019, -41.341702240407926\right)\right) - -6.28318530718\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 12: 81.7% accurate, 3.9× speedup?

\[\begin{array}{l} \\ 6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* 6.28318530718 (* u2 (sqrt (/ u1 (- 1.0 u1))))))
float code(float cosTheta_i, float u1, float u2) {
	return 6.28318530718f * (u2 * sqrtf((u1 / (1.0f - u1))));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = 6.28318530718e0 * (u2 * sqrt((u1 / (1.0e0 - u1))))
end function
function code(cosTheta_i, u1, u2)
	return Float32(Float32(6.28318530718) * Float32(u2 * sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = single(6.28318530718) * (u2 * sqrt((u1 / (single(1.0) - u1))));
end
\begin{array}{l}

\\
6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Taylor expanded in u2 around 0

    \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot u2\right)} \]
  4. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
    2. associate-*r*N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    3. lower-*.f32N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    4. lower-*.f32N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)} \cdot \sqrt{\frac{u1}{1 - u1}} \]
    5. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1 \cdot 1}}{1 - u1}} \]
    6. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}} \]
    7. rgt-mult-inverseN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    8. mul-1-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\color{blue}{\mathsf{neg}\left(u1\right)}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    9. distribute-neg-frac2N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    10. mul-1-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{-1 \cdot u1}}} \]
    11. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{\left(-1 \cdot u1\right) \cdot 1}}} \]
    12. distribute-lft-inN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
    13. +-commutativeN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
    14. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 - \frac{1}{u1}\right)}}} \]
    15. associate-*r*N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    16. lower-sqrt.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    17. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1}}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}} \]
    18. lower-/.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    19. associate-*r*N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)}}} \]
    20. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
    21. +-commutativeN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
  5. Applied rewrites78.2%

    \[\leadsto \color{blue}{\left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
  6. Step-by-step derivation
    1. lift--.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{1 - u1}}} \]
    2. lift-/.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{1 - u1}}} \]
    3. lift-sqrt.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
    4. associate-*l*N/A

      \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
    5. *-commutativeN/A

      \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
    6. lower-*.f32N/A

      \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot \frac{314159265359}{50000000000}} \]
    7. lower-*.f3278.2

      \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \cdot 6.28318530718 \]
  7. Applied rewrites78.2%

    \[\leadsto \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \cdot 6.28318530718} \]
  8. Final simplification78.2%

    \[\leadsto 6.28318530718 \cdot \left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right) \]
  9. Add Preprocessing

Alternative 13: 81.7% accurate, 3.9× speedup?

\[\begin{array}{l} \\ \left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (* 6.28318530718 u2) (sqrt (/ u1 (- 1.0 u1)))))
float code(float cosTheta_i, float u1, float u2) {
	return (6.28318530718f * u2) * sqrtf((u1 / (1.0f - u1)));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = (6.28318530718e0 * u2) * sqrt((u1 / (1.0e0 - u1)))
end function
function code(cosTheta_i, u1, u2)
	return Float32(Float32(Float32(6.28318530718) * u2) * sqrt(Float32(u1 / Float32(Float32(1.0) - u1))))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = (single(6.28318530718) * u2) * sqrt((u1 / (single(1.0) - u1)));
end
\begin{array}{l}

\\
\left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Taylor expanded in u2 around 0

    \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot u2\right)} \]
  4. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
    2. associate-*r*N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    3. lower-*.f32N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    4. lower-*.f32N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)} \cdot \sqrt{\frac{u1}{1 - u1}} \]
    5. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1 \cdot 1}}{1 - u1}} \]
    6. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}} \]
    7. rgt-mult-inverseN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    8. mul-1-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\color{blue}{\mathsf{neg}\left(u1\right)}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    9. distribute-neg-frac2N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    10. mul-1-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{-1 \cdot u1}}} \]
    11. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{\left(-1 \cdot u1\right) \cdot 1}}} \]
    12. distribute-lft-inN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
    13. +-commutativeN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
    14. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 - \frac{1}{u1}\right)}}} \]
    15. associate-*r*N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    16. lower-sqrt.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    17. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1}}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}} \]
    18. lower-/.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    19. associate-*r*N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)}}} \]
    20. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
    21. +-commutativeN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
  5. Applied rewrites78.2%

    \[\leadsto \color{blue}{\left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
  6. Add Preprocessing

Alternative 14: 64.6% accurate, 6.4× speedup?

\[\begin{array}{l} \\ 6.28318530718 \cdot \left(u2 \cdot \sqrt{u1}\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* 6.28318530718 (* u2 (sqrt u1))))
float code(float cosTheta_i, float u1, float u2) {
	return 6.28318530718f * (u2 * sqrtf(u1));
}
real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = 6.28318530718e0 * (u2 * sqrt(u1))
end function
function code(cosTheta_i, u1, u2)
	return Float32(Float32(6.28318530718) * Float32(u2 * sqrt(u1)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = single(6.28318530718) * (u2 * sqrt(u1));
end
\begin{array}{l}

\\
6.28318530718 \cdot \left(u2 \cdot \sqrt{u1}\right)
\end{array}
Derivation
  1. Initial program 98.7%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \sin \left(6.28318530718 \cdot u2\right) \]
  2. Add Preprocessing
  3. Taylor expanded in u2 around 0

    \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot u2\right)} \]
  4. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{\frac{u1}{1 - u1}}\right)} \]
    2. associate-*r*N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    3. lower-*.f32N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
    4. lower-*.f32N/A

      \[\leadsto \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)} \cdot \sqrt{\frac{u1}{1 - u1}} \]
    5. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1 \cdot 1}}{1 - u1}} \]
    6. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}} \]
    7. rgt-mult-inverseN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    8. mul-1-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\color{blue}{\mathsf{neg}\left(u1\right)}} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    9. distribute-neg-frac2N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]
    10. mul-1-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{-1 \cdot u1}}} \]
    11. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \color{blue}{\left(-1 \cdot u1\right) \cdot 1}}} \]
    12. distribute-lft-inN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
    13. +-commutativeN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
    14. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 - \frac{1}{u1}\right)}}} \]
    15. associate-*r*N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1 \cdot 1}{\color{blue}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    16. lower-sqrt.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \color{blue}{\sqrt{\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    17. *-rgt-identityN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{\color{blue}{u1}}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}} \]
    18. lower-/.f32N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\color{blue}{\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}}} \]
    19. associate-*r*N/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\color{blue}{\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)}}} \]
    20. sub-negN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}}} \]
    21. +-commutativeN/A

      \[\leadsto \left(\frac{314159265359}{50000000000} \cdot u2\right) \cdot \sqrt{\frac{u1}{\left(-1 \cdot u1\right) \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}} \]
  5. Applied rewrites78.2%

    \[\leadsto \color{blue}{\left(6.28318530718 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}} \]
  6. Taylor expanded in u1 around 0

    \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{u1} \cdot u2\right)} \]
  7. Step-by-step derivation
    1. lower-*.f32N/A

      \[\leadsto \color{blue}{\frac{314159265359}{50000000000} \cdot \left(\sqrt{u1} \cdot u2\right)} \]
    2. *-commutativeN/A

      \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{u1}\right)} \]
    3. lower-*.f32N/A

      \[\leadsto \frac{314159265359}{50000000000} \cdot \color{blue}{\left(u2 \cdot \sqrt{u1}\right)} \]
    4. lower-sqrt.f3262.1

      \[\leadsto 6.28318530718 \cdot \left(u2 \cdot \color{blue}{\sqrt{u1}}\right) \]
  8. Applied rewrites62.1%

    \[\leadsto \color{blue}{6.28318530718 \cdot \left(u2 \cdot \sqrt{u1}\right)} \]
  9. Add Preprocessing

Reproduce

?
herbie shell --seed 2024216 
(FPCore (cosTheta_i u1 u2)
  :name "Trowbridge-Reitz Sample, near normal, slope_y"
  :precision binary32
  :pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
  (* (sqrt (/ u1 (- 1.0 u1))) (sin (* 6.28318530718 u2))))