Trowbridge-Reitz Sample, near normal, slope_x

Percentage Accurate: 99.0% → 99.0%
Time: 4.2s
Alternatives: 16
Speedup: 1.0×

Specification

?
\[\left(\left(cosTheta\_i > 0.9999 \land cosTheta\_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]
\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * cosf((6.28318530718f * u2));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(4) function code(costheta_i, u1, u2)
use fmin_fmax_functions
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * cos((6.28318530718e0 * u2))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * cos(Float32(Float32(6.28318530718) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * cos((single(6.28318530718) * u2));
end
\begin{array}{l}

\\
\sqrt{\frac{u1}{1 - u1}} \cdot \cos \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 16 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: 99.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * cosf((6.28318530718f * u2));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(4) function code(costheta_i, u1, u2)
use fmin_fmax_functions
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * cos((6.28318530718e0 * u2))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * cos(Float32(Float32(6.28318530718) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * cos((single(6.28318530718) * u2));
end
\begin{array}{l}

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

Alternative 1: 99.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * cosf((6.28318530718f * u2));
}
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(4) function code(costheta_i, u1, u2)
use fmin_fmax_functions
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * cos((6.28318530718e0 * u2))
end function
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * cos(Float32(Float32(6.28318530718) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * cos((single(6.28318530718) * u2));
end
\begin{array}{l}

\\
\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right)
\end{array}
Derivation
  1. Initial program 98.8%

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

Alternative 2: 98.0% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ t_1 := \cos \left(6.28318530718 \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.052799999713897705:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1)))) (t_1 (cos (* 6.28318530718 u2))))
   (if (<= (* t_0 t_1) 0.052799999713897705)
     (* (sqrt (* (fma (+ 1.0 u1) u1 1.0) u1)) t_1)
     (*
      t_0
      (fma
       (-
        (* (* (fma (* u2 u2) -85.45681720672748 64.93939402268539) u2) u2)
        19.739208802181317)
       (* u2 u2)
       1.0)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = sqrtf((u1 / (1.0f - u1)));
	float t_1 = cosf((6.28318530718f * u2));
	float tmp;
	if ((t_0 * t_1) <= 0.052799999713897705f) {
		tmp = sqrtf((fmaf((1.0f + u1), u1, 1.0f) * u1)) * t_1;
	} else {
		tmp = t_0 * fmaf((((fmaf((u2 * u2), -85.45681720672748f, 64.93939402268539f) * u2) * u2) - 19.739208802181317f), (u2 * u2), 1.0f);
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
	t_1 = cos(Float32(Float32(6.28318530718) * u2))
	tmp = Float32(0.0)
	if (Float32(t_0 * t_1) <= Float32(0.052799999713897705))
		tmp = Float32(sqrt(Float32(fma(Float32(Float32(1.0) + u1), u1, Float32(1.0)) * u1)) * t_1);
	else
		tmp = Float32(t_0 * fma(Float32(Float32(Float32(fma(Float32(u2 * u2), Float32(-85.45681720672748), Float32(64.93939402268539)) * u2) * u2) - Float32(19.739208802181317)), Float32(u2 * u2), Float32(1.0)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\frac{u1}{1 - u1}}\\
t_1 := \cos \left(6.28318530718 \cdot u2\right)\\
\mathbf{if}\;t\_0 \cdot t\_1 \leq 0.052799999713897705:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2))) < 0.0528

    1. Initial program 98.7%

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(1 + u1\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. lower-fma.f32N/A

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      6. lower-+.f3298.0

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    5. Applied rewrites98.0%

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

    if 0.0528 < (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2)))

    1. Initial program 99.4%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      7. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      8. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, {u2}^{2}, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      9. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      13. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
      14. lower-*.f3298.3

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    5. Applied rewrites98.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    6. Applied rewrites98.3%

      \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 3: 97.6% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ t_1 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\ \mathbf{if}\;t\_0 \cdot \cos \left(6.28318530718 \cdot u2\right) \leq 0.01600000075995922:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \cos \left(u2 \cdot 6.28318530718\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\frac{t\_1 \cdot t\_1 - 4217.124896033587}{t\_1 - 64.93939402268539} \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1)))) (t_1 (* (* u2 u2) -85.45681720672748)))
   (if (<= (* t_0 (cos (* 6.28318530718 u2))) 0.01600000075995922)
     (* (sqrt (fma u1 u1 u1)) (cos (* u2 6.28318530718)))
     (*
      t_0
      (fma
       (-
        (*
         (/ (- (* t_1 t_1) 4217.124896033587) (- t_1 64.93939402268539))
         (* u2 u2))
        19.739208802181317)
       (* u2 u2)
       1.0)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = sqrtf((u1 / (1.0f - u1)));
	float t_1 = (u2 * u2) * -85.45681720672748f;
	float tmp;
	if ((t_0 * cosf((6.28318530718f * u2))) <= 0.01600000075995922f) {
		tmp = sqrtf(fmaf(u1, u1, u1)) * cosf((u2 * 6.28318530718f));
	} else {
		tmp = t_0 * fmaf((((((t_1 * t_1) - 4217.124896033587f) / (t_1 - 64.93939402268539f)) * (u2 * u2)) - 19.739208802181317f), (u2 * u2), 1.0f);
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
	t_1 = Float32(Float32(u2 * u2) * Float32(-85.45681720672748))
	tmp = Float32(0.0)
	if (Float32(t_0 * cos(Float32(Float32(6.28318530718) * u2))) <= Float32(0.01600000075995922))
		tmp = Float32(sqrt(fma(u1, u1, u1)) * cos(Float32(u2 * Float32(6.28318530718))));
	else
		tmp = Float32(t_0 * fma(Float32(Float32(Float32(Float32(Float32(t_1 * t_1) - Float32(4217.124896033587)) / Float32(t_1 - Float32(64.93939402268539))) * Float32(u2 * u2)) - Float32(19.739208802181317)), Float32(u2 * u2), Float32(1.0)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\frac{u1}{1 - u1}}\\
t_1 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\
\mathbf{if}\;t\_0 \cdot \cos \left(6.28318530718 \cdot u2\right) \leq 0.01600000075995922:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \cos \left(u2 \cdot 6.28318530718\right)\\

\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(\frac{t\_1 \cdot t\_1 - 4217.124896033587}{t\_1 - 64.93939402268539} \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2))) < 0.0160000008

    1. Initial program 98.6%

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

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

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

        \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1 \cdot 1 - u1 \cdot u1}{1 + u1}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. metadata-evalN/A

        \[\leadsto \sqrt{\frac{u1}{\frac{\color{blue}{1} - u1 \cdot u1}{1 + u1}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. unpow2N/A

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

        \[\leadsto \sqrt{\frac{u1}{\frac{\color{blue}{1 - {u1}^{2}}}{1 + u1}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      7. unpow2N/A

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

        \[\leadsto \sqrt{\frac{u1}{\frac{1 - \color{blue}{u1 \cdot u1}}{1 + u1}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      9. lower-+.f3298.4

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

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

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

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

        \[\leadsto \sqrt{\frac{u1 \cdot \left(1 + u1\right)}{1 - {u1}^{2}}} \cdot \cos \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)} \]
      3. pow2N/A

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

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

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

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

        \[\leadsto \sqrt{\frac{\left(1 + u1\right) \cdot u1}{1 - u1 \cdot u1}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      8. lift-*.f32N/A

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

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

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

        \[\leadsto \sqrt{\frac{\left(1 + u1\right) \cdot u1}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      12. lower-*.f3298.5

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

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

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

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

        \[\leadsto \sqrt{\frac{u1 \cdot \left(1 + u1\right)}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      4. distribute-lft-inN/A

        \[\leadsto \sqrt{\frac{u1 \cdot 1 + u1 \cdot u1}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      5. pow2N/A

        \[\leadsto \sqrt{\frac{u1 \cdot 1 + {u1}^{2}}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      6. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{\mathsf{fma}\left(u1, 1, {u1}^{2}\right)}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      7. pow2N/A

        \[\leadsto \sqrt{\frac{\mathsf{fma}\left(u1, 1, u1 \cdot u1\right)}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      8. lift-*.f3298.6

        \[\leadsto \sqrt{\frac{\mathsf{fma}\left(u1, 1, u1 \cdot u1\right)}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot 6.28318530718\right) \]
    9. Applied rewrites98.6%

      \[\leadsto \sqrt{\frac{\mathsf{fma}\left(u1, 1, u1 \cdot u1\right)}{1 - u1 \cdot u1}} \cdot \cos \left(u2 \cdot 6.28318530718\right) \]
    10. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{u1 \cdot \left(1 + u1\right)} \cdot \cos \left(\color{blue}{u2} \cdot \frac{314159265359}{50000000000}\right) \]
    11. Step-by-step derivation
      1. distribute-lft-inN/A

        \[\leadsto \sqrt{u1 \cdot 1 + u1 \cdot u1} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      2. pow2N/A

        \[\leadsto \sqrt{u1 \cdot 1 + {u1}^{2}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      3. *-rgt-identityN/A

        \[\leadsto \sqrt{u1 + {u1}^{2}} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      4. +-commutativeN/A

        \[\leadsto \sqrt{{u1}^{2} + u1} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      5. pow2N/A

        \[\leadsto \sqrt{u1 \cdot u1 + u1} \cdot \cos \left(u2 \cdot \frac{314159265359}{50000000000}\right) \]
      6. lower-fma.f3297.8

        \[\leadsto \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \cos \left(u2 \cdot 6.28318530718\right) \]
    12. Applied rewrites97.8%

      \[\leadsto \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \cos \left(\color{blue}{u2} \cdot 6.28318530718\right) \]

    if 0.0160000008 < (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2)))

    1. Initial program 99.3%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      7. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      8. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, {u2}^{2}, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      9. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      13. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
      14. lower-*.f3298.1

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    5. Applied rewrites98.1%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    6. Step-by-step derivation
      1. lift-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      2. flip-+N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      3. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      5. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      6. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      7. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      8. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      9. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      10. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      11. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      12. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      13. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      14. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      15. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      16. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      17. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      18. metadata-evalN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      19. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      20. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
    7. Applied rewrites98.1%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot -85.45681720672748\right) \cdot \left(\left(u2 \cdot u2\right) \cdot -85.45681720672748\right) - 4217.124896033587}{\left(u2 \cdot u2\right) \cdot -85.45681720672748 - 64.93939402268539} \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 4: 96.1% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ t_1 := \cos \left(6.28318530718 \cdot u2\right)\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.00015999999595806003:\\ \;\;\;\;\sqrt{u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748 \cdot u2, u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1)))) (t_1 (cos (* 6.28318530718 u2))))
   (if (<= (* t_0 t_1) 0.00015999999595806003)
     (* (sqrt u1) t_1)
     (*
      t_0
      (fma
       (-
        (* (fma (* -85.45681720672748 u2) u2 64.93939402268539) (* u2 u2))
        19.739208802181317)
       (* u2 u2)
       1.0)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = sqrtf((u1 / (1.0f - u1)));
	float t_1 = cosf((6.28318530718f * u2));
	float tmp;
	if ((t_0 * t_1) <= 0.00015999999595806003f) {
		tmp = sqrtf(u1) * t_1;
	} else {
		tmp = t_0 * fmaf(((fmaf((-85.45681720672748f * u2), u2, 64.93939402268539f) * (u2 * u2)) - 19.739208802181317f), (u2 * u2), 1.0f);
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	t_0 = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
	t_1 = cos(Float32(Float32(6.28318530718) * u2))
	tmp = Float32(0.0)
	if (Float32(t_0 * t_1) <= Float32(0.00015999999595806003))
		tmp = Float32(sqrt(u1) * t_1);
	else
		tmp = Float32(t_0 * fma(Float32(Float32(fma(Float32(Float32(-85.45681720672748) * u2), u2, Float32(64.93939402268539)) * Float32(u2 * u2)) - Float32(19.739208802181317)), Float32(u2 * u2), Float32(1.0)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt{\frac{u1}{1 - u1}}\\
t_1 := \cos \left(6.28318530718 \cdot u2\right)\\
\mathbf{if}\;t\_0 \cdot t\_1 \leq 0.00015999999595806003:\\
\;\;\;\;\sqrt{u1} \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748 \cdot u2, u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2))) < 1.59999996e-4

    1. Initial program 98.0%

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

      \[\leadsto \sqrt{\color{blue}{u1}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    4. Step-by-step derivation
      1. Applied rewrites94.9%

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

      if 1.59999996e-4 < (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2)))

      1. Initial program 99.1%

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

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
      4. Step-by-step derivation
        1. +-commutativeN/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
        2. *-commutativeN/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
        3. lower-fma.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
        4. lower--.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
        5. *-commutativeN/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        6. lower-*.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        7. +-commutativeN/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        8. lower-fma.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, {u2}^{2}, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        9. unpow2N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        10. lower-*.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        11. unpow2N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        12. lower-*.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
        13. unpow2N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
        14. lower-*.f3297.5

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
      5. Applied rewrites97.5%

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
      6. Step-by-step derivation
        1. lift-fma.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
        2. lift-*.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
        3. associate-*r*N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot u2\right) \cdot u2 + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
        4. lower-fma.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot u2, u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
        5. lower-*.f3297.5

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748 \cdot u2, u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \]
      7. Applied rewrites97.5%

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748 \cdot u2, u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \]
    5. Recombined 2 regimes into one program.
    6. Add Preprocessing

    Alternative 5: 83.1% accurate, 0.9× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\cos \left(6.28318530718 \cdot u2\right) \leq 0.9998999834060669:\\ \;\;\;\;\mathsf{fma}\left(-19.739208802181317 \cdot \sqrt{u1}, u2 \cdot u2, \sqrt{u1}\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= (cos (* 6.28318530718 u2)) 0.9998999834060669)
       (fma (* -19.739208802181317 (sqrt u1)) (* u2 u2) (sqrt u1))
       (sqrt (/ u1 (- 1.0 u1)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (cosf((6.28318530718f * u2)) <= 0.9998999834060669f) {
    		tmp = fmaf((-19.739208802181317f * sqrtf(u1)), (u2 * u2), sqrtf(u1));
    	} else {
    		tmp = sqrtf((u1 / (1.0f - u1)));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (cos(Float32(Float32(6.28318530718) * u2)) <= Float32(0.9998999834060669))
    		tmp = fma(Float32(Float32(-19.739208802181317) * sqrt(u1)), Float32(u2 * u2), sqrt(u1));
    	else
    		tmp = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;\cos \left(6.28318530718 \cdot u2\right) \leq 0.9998999834060669:\\
    \;\;\;\;\mathsf{fma}\left(-19.739208802181317 \cdot \sqrt{u1}, u2 \cdot u2, \sqrt{u1}\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2)) < 0.999899983

      1. Initial program 97.5%

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

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      4. Step-by-step derivation
        1. lift-/.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        2. lift--.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        3. lift-sqrt.f3236.3

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
      5. Applied rewrites36.3%

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      6. Taylor expanded in u2 around 0

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}} + \frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}\right)} \]
      7. Step-by-step derivation
        1. flip--N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} + \frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}\right) \]
        2. metadata-evalN/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} + \frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}\right) \]
        3. pow2N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} + \frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}\right) \]
        4. pow2N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} + \frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}\right) \]
        5. +-commutativeN/A

          \[\leadsto \frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}\right) + \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
        6. *-commutativeN/A

          \[\leadsto \left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}\right) \cdot \frac{-98696044010906577398881}{5000000000000000000000} + \sqrt{\color{blue}{\frac{u1}{1 - u1}}} \]
        7. lower-fma.f32N/A

          \[\leadsto \mathsf{fma}\left(\sqrt{\frac{u1}{1 - u1}} \cdot {u2}^{2}, \color{blue}{\frac{-98696044010906577398881}{5000000000000000000000}}, \sqrt{\frac{u1}{1 - u1}}\right) \]
      8. Applied rewrites56.1%

        \[\leadsto \color{blue}{\mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \sqrt{\frac{u1}{1 - u1}}, -19.739208802181317, \sqrt{\frac{u1}{1 - u1}}\right)} \]
      9. Taylor expanded in u1 around 0

        \[\leadsto \sqrt{u1} + \color{blue}{\frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{u1} \cdot {u2}^{2}\right)} \]
      10. Step-by-step derivation
        1. +-commutativeN/A

          \[\leadsto \frac{-98696044010906577398881}{5000000000000000000000} \cdot \left(\sqrt{u1} \cdot {u2}^{2}\right) + \sqrt{u1} \]
        2. associate-*r*N/A

          \[\leadsto \left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot \sqrt{u1}\right) \cdot {u2}^{2} + \sqrt{u1} \]
        3. lower-fma.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot \sqrt{u1}, {u2}^{\color{blue}{2}}, \sqrt{u1}\right) \]
        4. lower-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot \sqrt{u1}, {u2}^{2}, \sqrt{u1}\right) \]
        5. lift-sqrt.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot \sqrt{u1}, {u2}^{2}, \sqrt{u1}\right) \]
        6. pow2N/A

          \[\leadsto \mathsf{fma}\left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot \sqrt{u1}, u2 \cdot u2, \sqrt{u1}\right) \]
        7. lift-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot \sqrt{u1}, u2 \cdot u2, \sqrt{u1}\right) \]
        8. lift-sqrt.f3247.9

          \[\leadsto \mathsf{fma}\left(-19.739208802181317 \cdot \sqrt{u1}, u2 \cdot u2, \sqrt{u1}\right) \]
      11. Applied rewrites47.9%

        \[\leadsto \mathsf{fma}\left(-19.739208802181317 \cdot \sqrt{u1}, \color{blue}{u2 \cdot u2}, \sqrt{u1}\right) \]

      if 0.999899983 < (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2))

      1. Initial program 99.3%

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

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      4. Step-by-step derivation
        1. lift-/.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        2. lift--.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        3. lift-sqrt.f3295.9

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
      5. Applied rewrites95.9%

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
    3. Recombined 2 regimes into one program.
    4. Add Preprocessing

    Alternative 6: 83.1% accurate, 1.0× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\cos \left(6.28318530718 \cdot u2\right) \leq 0.9998999834060669:\\ \;\;\;\;\sqrt{u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= (cos (* 6.28318530718 u2)) 0.9998999834060669)
       (* (sqrt u1) (fma (* u2 u2) -19.739208802181317 1.0))
       (sqrt (/ u1 (- 1.0 u1)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (cosf((6.28318530718f * u2)) <= 0.9998999834060669f) {
    		tmp = sqrtf(u1) * fmaf((u2 * u2), -19.739208802181317f, 1.0f);
    	} else {
    		tmp = sqrtf((u1 / (1.0f - u1)));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (cos(Float32(Float32(6.28318530718) * u2)) <= Float32(0.9998999834060669))
    		tmp = Float32(sqrt(u1) * fma(Float32(u2 * u2), Float32(-19.739208802181317), Float32(1.0)));
    	else
    		tmp = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;\cos \left(6.28318530718 \cdot u2\right) \leq 0.9998999834060669:\\
    \;\;\;\;\sqrt{u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2)) < 0.999899983

      1. Initial program 97.5%

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

        \[\leadsto \color{blue}{\left(\sqrt{u1} + {u1}^{2} \cdot \left(\frac{1}{2} \cdot \sqrt{u1} + \frac{1}{2} \cdot \sqrt{\frac{1}{u1}}\right)\right)} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. Step-by-step derivation
        1. +-commutativeN/A

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

          \[\leadsto \left(\left(\frac{1}{2} \cdot \sqrt{u1} + \frac{1}{2} \cdot \sqrt{\frac{1}{u1}}\right) \cdot {u1}^{2} + \sqrt{\color{blue}{u1}}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        3. lower-fma.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \sqrt{u1} + \frac{1}{2} \cdot \sqrt{\frac{1}{u1}}, \color{blue}{{u1}^{2}}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        4. distribute-lft-outN/A

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

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

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \sqrt{\frac{1}{u1}}\right), {u1}^{2}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        7. lower-sqrt.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \sqrt{\frac{1}{u1}}\right), {u1}^{2}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        8. sqrt-divN/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{\sqrt{1}}{\sqrt{u1}}\right), {u1}^{2}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        9. metadata-evalN/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), {u1}^{2}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        10. lower-/.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), {u1}^{2}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        11. lower-sqrt.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), {u1}^{2}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        12. unpow2N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot \color{blue}{u1}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        13. lower-*.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot \color{blue}{u1}, \sqrt{u1}\right) \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        14. lower-sqrt.f3287.8

          \[\leadsto \mathsf{fma}\left(0.5 \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \cos \left(6.28318530718 \cdot u2\right) \]
      5. Applied rewrites87.8%

        \[\leadsto \color{blue}{\mathsf{fma}\left(0.5 \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
      6. Taylor expanded in u2 around 0

        \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\left(1 + \frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)} \]
      7. Step-by-step derivation
        1. +-commutativeN/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2} + \color{blue}{1}\right) \]
        2. *-commutativeN/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \left({u2}^{2} \cdot \frac{-98696044010906577398881}{5000000000000000000000} + 1\right) \]
        3. lower-fma.f32N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \mathsf{fma}\left({u2}^{2}, \color{blue}{\frac{-98696044010906577398881}{5000000000000000000000}}, 1\right) \]
        4. pow2N/A

          \[\leadsto \mathsf{fma}\left(\frac{1}{2} \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{-98696044010906577398881}{5000000000000000000000}, 1\right) \]
        5. lift-*.f3254.5

          \[\leadsto \mathsf{fma}\left(0.5 \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \]
      8. Applied rewrites54.5%

        \[\leadsto \mathsf{fma}\left(0.5 \cdot \left(\sqrt{u1} + \frac{1}{\sqrt{u1}}\right), u1 \cdot u1, \sqrt{u1}\right) \cdot \color{blue}{\mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)} \]
      9. Taylor expanded in u1 around 0

        \[\leadsto \sqrt{u1} \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{-98696044010906577398881}{5000000000000000000000}, 1\right) \]
      10. Step-by-step derivation
        1. lift-sqrt.f3247.8

          \[\leadsto \sqrt{u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \]
      11. Applied rewrites47.8%

        \[\leadsto \sqrt{u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \]

      if 0.999899983 < (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2))

      1. Initial program 99.3%

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

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      4. Step-by-step derivation
        1. lift-/.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        2. lift--.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        3. lift-sqrt.f3295.9

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
      5. Applied rewrites95.9%

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
    3. Recombined 2 regimes into one program.
    4. Add Preprocessing

    Alternative 7: 93.4% accurate, 1.3× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{t\_0 \cdot t\_0 - 4217.124896033587}{t\_0 - 64.93939402268539} \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (let* ((t_0 (* (* u2 u2) -85.45681720672748)))
       (*
        (sqrt (/ u1 (- 1.0 u1)))
        (fma
         (-
          (*
           (/ (- (* t_0 t_0) 4217.124896033587) (- t_0 64.93939402268539))
           (* u2 u2))
          19.739208802181317)
         (* u2 u2)
         1.0))))
    float code(float cosTheta_i, float u1, float u2) {
    	float t_0 = (u2 * u2) * -85.45681720672748f;
    	return sqrtf((u1 / (1.0f - u1))) * fmaf((((((t_0 * t_0) - 4217.124896033587f) / (t_0 - 64.93939402268539f)) * (u2 * u2)) - 19.739208802181317f), (u2 * u2), 1.0f);
    }
    
    function code(cosTheta_i, u1, u2)
    	t_0 = Float32(Float32(u2 * u2) * Float32(-85.45681720672748))
    	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * fma(Float32(Float32(Float32(Float32(Float32(t_0 * t_0) - Float32(4217.124896033587)) / Float32(t_0 - Float32(64.93939402268539))) * Float32(u2 * u2)) - Float32(19.739208802181317)), Float32(u2 * u2), Float32(1.0)))
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\
    \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{t\_0 \cdot t\_0 - 4217.124896033587}{t\_0 - 64.93939402268539} \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)
    \end{array}
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      7. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      8. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, {u2}^{2}, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      9. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      13. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
      14. lower-*.f3293.3

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    5. Applied rewrites93.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    6. Step-by-step derivation
      1. lift-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      2. flip-+N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      3. lower-/.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      4. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      5. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      6. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      7. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      8. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      9. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      10. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      11. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      12. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      13. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      14. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      15. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left({u2}^{2} \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      16. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      17. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      18. metadata-evalN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      19. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      20. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
    7. Applied rewrites93.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{\left(\left(u2 \cdot u2\right) \cdot -85.45681720672748\right) \cdot \left(\left(u2 \cdot u2\right) \cdot -85.45681720672748\right) - 4217.124896033587}{\left(u2 \cdot u2\right) \cdot -85.45681720672748 - 64.93939402268539} \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \]
    8. Add Preprocessing

    Alternative 8: 93.4% accurate, 2.0× speedup?

    \[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(64.93939402268539 - 85.45681720672748 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (*
      (sqrt (/ u1 (- 1.0 u1)))
      (fma
       (-
        (* (- 64.93939402268539 (* 85.45681720672748 (* u2 u2))) (* u2 u2))
        19.739208802181317)
       (* u2 u2)
       1.0)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((u1 / (1.0f - u1))) * fmaf((((64.93939402268539f - (85.45681720672748f * (u2 * u2))) * (u2 * u2)) - 19.739208802181317f), (u2 * u2), 1.0f);
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * fma(Float32(Float32(Float32(Float32(64.93939402268539) - Float32(Float32(85.45681720672748) * Float32(u2 * u2))) * Float32(u2 * u2)) - Float32(19.739208802181317)), Float32(u2 * u2), Float32(1.0)))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(64.93939402268539 - 85.45681720672748 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      7. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      8. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, {u2}^{2}, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      9. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      13. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
      14. lower-*.f3293.3

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    5. Applied rewrites93.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    6. Step-by-step derivation
      1. lift-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      2. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      3. lift-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      4. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      5. fp-cancel-sign-sub-invN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} - \left(\mathsf{neg}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right) \cdot {u2}^{2}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      6. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} - \left(\mathsf{neg}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right) \cdot {u2}^{2}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      7. metadata-evalN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} - \frac{961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      8. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} - \frac{961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      9. pow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} - \frac{961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right)\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
      10. lift-*.f3293.3

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(64.93939402268539 - 85.45681720672748 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \]
    7. Applied rewrites93.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(64.93939402268539 - 85.45681720672748 \cdot \left(u2 \cdot u2\right)\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \]
    8. Add Preprocessing

    Alternative 9: 93.4% accurate, 2.1× speedup?

    \[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (*
      (sqrt (/ u1 (- 1.0 u1)))
      (fma
       (-
        (* (* (fma (* u2 u2) -85.45681720672748 64.93939402268539) u2) u2)
        19.739208802181317)
       (* u2 u2)
       1.0)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((u1 / (1.0f - u1))) * fmaf((((fmaf((u2 * u2), -85.45681720672748f, 64.93939402268539f) * u2) * u2) - 19.739208802181317f), (u2 * u2), 1.0f);
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * fma(Float32(Float32(Float32(fma(Float32(u2 * u2), Float32(-85.45681720672748), Float32(64.93939402268539)) * u2) * u2) - Float32(19.739208802181317)), Float32(u2 * u2), Float32(1.0)))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      7. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      8. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, {u2}^{2}, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      9. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      13. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
      14. lower-*.f3293.3

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    5. Applied rewrites93.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    6. Applied rewrites93.3%

      \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    7. Add Preprocessing

    Alternative 10: 93.4% accurate, 2.1× speedup?

    \[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317\right) \cdot u2, u2, 1\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (*
      (sqrt (/ u1 (- 1.0 u1)))
      (fma
       (*
        (-
         (* (* (fma (* u2 u2) -85.45681720672748 64.93939402268539) u2) u2)
         19.739208802181317)
        u2)
       u2
       1.0)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((u1 / (1.0f - u1))) * fmaf(((((fmaf((u2 * u2), -85.45681720672748f, 64.93939402268539f) * u2) * u2) - 19.739208802181317f) * u2), u2, 1.0f);
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * fma(Float32(Float32(Float32(Float32(fma(Float32(u2 * u2), Float32(-85.45681720672748), Float32(64.93939402268539)) * u2) * u2) - Float32(19.739208802181317)) * u2), u2, Float32(1.0)))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317\right) \cdot u2, u2, 1\right)
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
      5. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      6. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      7. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      8. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, {u2}^{2}, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      9. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      10. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      11. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      12. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      13. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}, u2 \cdot u2, \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right) \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
      14. lower-*.f3293.3

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    5. Applied rewrites93.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    6. Applied rewrites93.3%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317\right) \cdot u2, \color{blue}{u2}, 1\right) \]
    7. Add Preprocessing

    Alternative 11: 91.4% accurate, 2.5× speedup?

    \[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(64.93939402268539 \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (*
      (sqrt (/ u1 (- 1.0 u1)))
      (fma (- (* 64.93939402268539 (* u2 u2)) 19.739208802181317) (* u2 u2) 1.0)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((u1 / (1.0f - u1))) * fmaf(((64.93939402268539f * (u2 * u2)) - 19.739208802181317f), (u2 * u2), 1.0f);
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * fma(Float32(Float32(Float32(64.93939402268539) * Float32(u2 * u2)) - Float32(19.739208802181317)), Float32(u2 * u2), Float32(1.0)))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(64.93939402268539 \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right) + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right) \cdot {u2}^{2} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, \color{blue}{{u2}^{2}}, 1\right) \]
      4. lower--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {\color{blue}{u2}}^{2}, 1\right) \]
      5. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      6. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      7. lower-*.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, {u2}^{2}, 1\right) \]
      8. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \left(u2 \cdot u2\right) - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot \color{blue}{u2}, 1\right) \]
      9. lower-*.f3290.7

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(64.93939402268539 \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    5. Applied rewrites90.7%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(64.93939402268539 \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    6. Add Preprocessing

    Alternative 12: 86.1% accurate, 2.9× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.00011999999696854502:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)\\ \end{array} \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u2 0.00011999999696854502)
       (sqrt (/ u1 (- 1.0 u1)))
       (*
        (sqrt (* (fma (+ 1.0 u1) u1 1.0) u1))
        (fma (* u2 u2) -19.739208802181317 1.0))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u2 <= 0.00011999999696854502f) {
    		tmp = sqrtf((u1 / (1.0f - u1)));
    	} else {
    		tmp = sqrtf((fmaf((1.0f + u1), u1, 1.0f) * u1)) * fmaf((u2 * u2), -19.739208802181317f, 1.0f);
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u2 <= Float32(0.00011999999696854502))
    		tmp = sqrt(Float32(u1 / Float32(Float32(1.0) - u1)));
    	else
    		tmp = Float32(sqrt(Float32(fma(Float32(Float32(1.0) + u1), u1, Float32(1.0)) * u1)) * fma(Float32(u2 * u2), Float32(-19.739208802181317), Float32(1.0)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;u2 \leq 0.00011999999696854502:\\
    \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u2 < 1.19999997e-4

      1. Initial program 99.5%

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

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
      4. Step-by-step derivation
        1. lift-/.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        2. lift--.f32N/A

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
        3. lift-sqrt.f3299.2

          \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
      5. Applied rewrites99.2%

        \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]

      if 1.19999997e-4 < u2

      1. Initial program 97.9%

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

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

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

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

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

          \[\leadsto \sqrt{\left(\left(1 + u1\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        5. lower-fma.f32N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
        6. lower-+.f3289.2

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
      5. Applied rewrites89.2%

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

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \color{blue}{\left(1 + \frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)} \]
      7. Step-by-step derivation
        1. +-commutativeN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2} + \color{blue}{1}\right) \]
        2. *-commutativeN/A

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \left({u2}^{2} \cdot \frac{-98696044010906577398881}{5000000000000000000000} + 1\right) \]
        3. lower-fma.f32N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left({u2}^{2}, \color{blue}{\frac{-98696044010906577398881}{5000000000000000000000}}, 1\right) \]
        4. pow2N/A

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{-98696044010906577398881}{5000000000000000000000}, 1\right) \]
        5. lift-*.f3265.8

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \]
      8. Applied rewrites65.8%

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \color{blue}{\mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)} \]
    3. Recombined 2 regimes into one program.
    4. Add Preprocessing

    Alternative 13: 88.3% accurate, 3.3× speedup?

    \[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (* (sqrt (/ u1 (- 1.0 u1))) (fma (* u2 u2) -19.739208802181317 1.0)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((u1 / (1.0f - u1))) * fmaf((u2 * u2), -19.739208802181317f, 1.0f);
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * fma(Float32(u2 * u2), Float32(-19.739208802181317), Float32(1.0)))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + \frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2} + \color{blue}{1}\right) \]
      2. *-commutativeN/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left({u2}^{2} \cdot \frac{-98696044010906577398881}{5000000000000000000000} + 1\right) \]
      3. lower-fma.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left({u2}^{2}, \color{blue}{\frac{-98696044010906577398881}{5000000000000000000000}}, 1\right) \]
      4. unpow2N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(u2 \cdot u2, \frac{-98696044010906577398881}{5000000000000000000000}, 1\right) \]
      5. lower-*.f3287.4

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \]
    5. Applied rewrites87.4%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)} \]
    6. Add Preprocessing

    Alternative 14: 79.9% accurate, 5.4× speedup?

    \[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \end{array} \]
    (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (/ u1 (- 1.0 u1))))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf((u1 / (1.0f - u1)));
    }
    
    module fmin_fmax_functions
        implicit none
        private
        public fmax
        public fmin
    
        interface fmax
            module procedure fmax88
            module procedure fmax44
            module procedure fmax84
            module procedure fmax48
        end interface
        interface fmin
            module procedure fmin88
            module procedure fmin44
            module procedure fmin84
            module procedure fmin48
        end interface
    contains
        real(8) function fmax88(x, y) result (res)
            real(8), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(x, max(x, y), y /= y), x /= x)
        end function
        real(4) function fmax44(x, y) result (res)
            real(4), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(y, merge(x, max(x, y), y /= y), x /= x)
        end function
        real(8) function fmax84(x, y) result(res)
            real(8), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
        end function
        real(8) function fmax48(x, y) result(res)
            real(4), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
        end function
        real(8) function fmin88(x, y) result (res)
            real(8), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(x, min(x, y), y /= y), x /= x)
        end function
        real(4) function fmin44(x, y) result (res)
            real(4), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(y, merge(x, min(x, y), y /= y), x /= x)
        end function
        real(8) function fmin84(x, y) result(res)
            real(8), intent (in) :: x
            real(4), intent (in) :: y
            res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
        end function
        real(8) function fmin48(x, y) result(res)
            real(4), intent (in) :: x
            real(8), intent (in) :: y
            res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
        end function
    end module
    
    real(4) function code(costheta_i, u1, u2)
    use fmin_fmax_functions
        real(4), intent (in) :: costheta_i
        real(4), intent (in) :: u1
        real(4), intent (in) :: u2
        code = sqrt((u1 / (1.0e0 - u1)))
    end function
    
    function code(cosTheta_i, u1, u2)
    	return sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = sqrt((u1 / (single(1.0) - u1)));
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\frac{u1}{1 - u1}}
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

      \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
    4. Step-by-step derivation
      1. lift-/.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
      2. lift--.f32N/A

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
      3. lift-sqrt.f3279.3

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
    5. Applied rewrites79.3%

      \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
    6. Add Preprocessing

    Alternative 15: 71.4% accurate, 6.1× speedup?

    \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot 1 \end{array} \]
    (FPCore (cosTheta_i u1 u2) :precision binary32 (* (sqrt (fma u1 u1 u1)) 1.0))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf(fmaf(u1, u1, u1)) * 1.0f;
    }
    
    function code(cosTheta_i, u1, u2)
    	return Float32(sqrt(fma(u1, u1, u1)) * Float32(1.0))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot 1
    \end{array}
    
    Derivation
    1. Initial program 98.8%

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

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

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

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

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

        \[\leadsto \sqrt{\left(\left(1 + u1\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      5. lower-fma.f32N/A

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      6. lower-+.f3290.8

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    5. Applied rewrites90.8%

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

      \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \color{blue}{1} \]
    7. Step-by-step derivation
      1. Applied rewrites74.5%

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \color{blue}{1} \]
      2. Taylor expanded in u1 around 0

        \[\leadsto \sqrt{u1} \cdot 1 \]
      3. Step-by-step derivation
        1. Applied rewrites63.4%

          \[\leadsto \sqrt{u1} \cdot 1 \]
        2. Taylor expanded in u1 around 0

          \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1\right)}} \cdot 1 \]
        3. Step-by-step derivation
          1. distribute-lft-inN/A

            \[\leadsto \sqrt{u1 \cdot 1 + \color{blue}{u1 \cdot u1}} \cdot 1 \]
          2. pow2N/A

            \[\leadsto \sqrt{u1 \cdot 1 + {u1}^{\color{blue}{2}}} \cdot 1 \]
          3. *-rgt-identityN/A

            \[\leadsto \sqrt{u1 + {\color{blue}{u1}}^{2}} \cdot 1 \]
          4. +-commutativeN/A

            \[\leadsto \sqrt{{u1}^{2} + \color{blue}{u1}} \cdot 1 \]
          5. pow2N/A

            \[\leadsto \sqrt{u1 \cdot u1 + u1} \cdot 1 \]
          6. lower-fma.f3271.7

            \[\leadsto \sqrt{\mathsf{fma}\left(u1, \color{blue}{u1}, u1\right)} \cdot 1 \]
        4. Applied rewrites71.7%

          \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot 1 \]
        5. Add Preprocessing

        Alternative 16: 63.1% accurate, 8.4× speedup?

        \[\begin{array}{l} \\ \sqrt{u1} \cdot 1 \end{array} \]
        (FPCore (cosTheta_i u1 u2) :precision binary32 (* (sqrt u1) 1.0))
        float code(float cosTheta_i, float u1, float u2) {
        	return sqrtf(u1) * 1.0f;
        }
        
        module fmin_fmax_functions
            implicit none
            private
            public fmax
            public fmin
        
            interface fmax
                module procedure fmax88
                module procedure fmax44
                module procedure fmax84
                module procedure fmax48
            end interface
            interface fmin
                module procedure fmin88
                module procedure fmin44
                module procedure fmin84
                module procedure fmin48
            end interface
        contains
            real(8) function fmax88(x, y) result (res)
                real(8), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(x, max(x, y), y /= y), x /= x)
            end function
            real(4) function fmax44(x, y) result (res)
                real(4), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(y, merge(x, max(x, y), y /= y), x /= x)
            end function
            real(8) function fmax84(x, y) result(res)
                real(8), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
            end function
            real(8) function fmax48(x, y) result(res)
                real(4), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
            end function
            real(8) function fmin88(x, y) result (res)
                real(8), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(x, min(x, y), y /= y), x /= x)
            end function
            real(4) function fmin44(x, y) result (res)
                real(4), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(y, merge(x, min(x, y), y /= y), x /= x)
            end function
            real(8) function fmin84(x, y) result(res)
                real(8), intent (in) :: x
                real(4), intent (in) :: y
                res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
            end function
            real(8) function fmin48(x, y) result(res)
                real(4), intent (in) :: x
                real(8), intent (in) :: y
                res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
            end function
        end module
        
        real(4) function code(costheta_i, u1, u2)
        use fmin_fmax_functions
            real(4), intent (in) :: costheta_i
            real(4), intent (in) :: u1
            real(4), intent (in) :: u2
            code = sqrt(u1) * 1.0e0
        end function
        
        function code(cosTheta_i, u1, u2)
        	return Float32(sqrt(u1) * Float32(1.0))
        end
        
        function tmp = code(cosTheta_i, u1, u2)
        	tmp = sqrt(u1) * single(1.0);
        end
        
        \begin{array}{l}
        
        \\
        \sqrt{u1} \cdot 1
        \end{array}
        
        Derivation
        1. Initial program 98.8%

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

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

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

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

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

            \[\leadsto \sqrt{\left(\left(1 + u1\right) \cdot u1 + 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
          5. lower-fma.f32N/A

            \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
          6. lower-+.f3290.8

            \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
        5. Applied rewrites90.8%

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

          \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \color{blue}{1} \]
        7. Step-by-step derivation
          1. Applied rewrites74.5%

            \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \color{blue}{1} \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{u1} \cdot 1 \]
          3. Step-by-step derivation
            1. Applied rewrites63.4%

              \[\leadsto \sqrt{u1} \cdot 1 \]
            2. Add Preprocessing

            Reproduce

            ?
            herbie shell --seed 2025061 
            (FPCore (cosTheta_i u1 u2)
              :name "Trowbridge-Reitz Sample, near normal, slope_x"
              :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))) (cos (* 6.28318530718 u2))))