Trowbridge-Reitz Sample, near normal, slope_x

Percentage Accurate: 99.0% → 98.9%
Time: 3.8s
Alternatives: 17
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}

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 17 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: 98.9% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \mathsf{fma}\left(1 + u1, u1, 1\right)\\ \sqrt{\frac{u1}{\frac{1}{t\_0} - \frac{{u1}^{3}}{t\_0}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (fma (+ 1.0 u1) u1 1.0)))
   (*
    (sqrt (/ u1 (- (/ 1.0 t_0) (/ (pow u1 3.0) t_0))))
    (cos (* 6.28318530718 u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = fmaf((1.0f + u1), u1, 1.0f);
	return sqrtf((u1 / ((1.0f / t_0) - (powf(u1, 3.0f) / t_0)))) * cosf((6.28318530718f * u2));
}
function code(cosTheta_i, u1, u2)
	t_0 = fma(Float32(Float32(1.0) + u1), u1, Float32(1.0))
	return Float32(sqrt(Float32(u1 / Float32(Float32(Float32(1.0) / t_0) - Float32((u1 ^ Float32(3.0)) / t_0)))) * cos(Float32(Float32(6.28318530718) * u2)))
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(1 + u1, u1, 1\right)\\
\sqrt{\frac{u1}{\frac{1}{t\_0} - \frac{{u1}^{3}}{t\_0}}} \cdot \cos \left(6.28318530718 \cdot u2\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  2. 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. flip3--N/A

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \color{blue}{\mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    10. lower-*.f3298.9

      \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, \color{blue}{1 \cdot u1}\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  3. Applied rewrites98.9%

    \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  4. Step-by-step derivation
    1. lift-/.f32N/A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\frac{u1}{\frac{1}{\mathsf{fma}\left(1 + u1, u1, 1\right)} - \frac{{u1}^{3}}{\color{blue}{\left(u1 \cdot u1 + 1 \cdot u1\right) + 1}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    17. distribute-rgt-outN/A

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

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

      \[\leadsto \sqrt{\frac{u1}{\frac{1}{\mathsf{fma}\left(1 + u1, u1, 1\right)} - \frac{{u1}^{3}}{\color{blue}{\left(1 + u1\right) \cdot u1} + 1}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
  5. Applied rewrites98.9%

    \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1}{\mathsf{fma}\left(1 + u1, u1, 1\right)} - \frac{{u1}^{3}}{\mathsf{fma}\left(1 + u1, u1, 1\right)}}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  6. Add Preprocessing

Alternative 2: 98.2% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ t_1 := \cos \left(6.28318530718 \cdot u2\right)\\ t_2 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.05000000074505806:\\ \;\;\;\;\sqrt{u1 + \mathsf{fma}\left(u1, u1, u1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\left(\frac{t\_2 \cdot t\_2 - 4217.124896033587}{t\_2 - 64.93939402268539} \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1))))
        (t_1 (cos (* 6.28318530718 u2)))
        (t_2 (* (* u2 u2) -85.45681720672748)))
   (if (<= (* t_0 t_1) 0.05000000074505806)
     (* (sqrt (+ u1 (* (fma u1 u1 u1) u1))) t_1)
     (*
      t_0
      (fma
       (-
        (*
         (* (/ (- (* t_2 t_2) 4217.124896033587) (- t_2 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 t_2 = (u2 * u2) * -85.45681720672748f;
	float tmp;
	if ((t_0 * t_1) <= 0.05000000074505806f) {
		tmp = sqrtf((u1 + (fmaf(u1, u1, u1) * u1))) * t_1;
	} else {
		tmp = t_0 * fmaf(((((((t_2 * t_2) - 4217.124896033587f) / (t_2 - 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))
	t_2 = Float32(Float32(u2 * u2) * Float32(-85.45681720672748))
	tmp = Float32(0.0)
	if (Float32(t_0 * t_1) <= Float32(0.05000000074505806))
		tmp = Float32(sqrt(Float32(u1 + Float32(fma(u1, u1, u1) * u1))) * t_1);
	else
		tmp = Float32(t_0 * fma(Float32(Float32(Float32(Float32(Float32(Float32(t_2 * t_2) - Float32(4217.124896033587)) / Float32(t_2 - 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)\\
t_2 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\
\mathbf{if}\;t\_0 \cdot t\_1 \leq 0.05000000074505806:\\
\;\;\;\;\sqrt{u1 + \mathsf{fma}\left(u1, u1, u1\right) \cdot u1} \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(\left(\frac{t\_2 \cdot t\_2 - 4217.124896033587}{t\_2 - 64.93939402268539} \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))) < 0.0500000007

    1. Initial program 99.0%

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

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

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites98.4%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    if 0.0500000007 < (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2)))

    1. Initial program 99.2%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    3. 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-*.f3297.4

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    4. Applied rewrites97.4%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    5. Applied rewrites97.4%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot u2\right) \cdot u2 - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
    7. Applied rewrites97.4%

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

Alternative 3: 98.1% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{\frac{u1}{1 - u1}}\\ t_1 := \cos \left(6.28318530718 \cdot u2\right)\\ t_2 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\ \mathbf{if}\;t\_0 \cdot t\_1 \leq 0.05000000074505806:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot t\_1\\ \mathbf{else}:\\ \;\;\;\;t\_0 \cdot \mathsf{fma}\left(\left(\frac{t\_2 \cdot t\_2 - 4217.124896033587}{t\_2 - 64.93939402268539} \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sqrt (/ u1 (- 1.0 u1))))
        (t_1 (cos (* 6.28318530718 u2)))
        (t_2 (* (* u2 u2) -85.45681720672748)))
   (if (<= (* t_0 t_1) 0.05000000074505806)
     (* (sqrt (* (fma (+ 1.0 u1) u1 1.0) u1)) t_1)
     (*
      t_0
      (fma
       (-
        (*
         (* (/ (- (* t_2 t_2) 4217.124896033587) (- t_2 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 t_2 = (u2 * u2) * -85.45681720672748f;
	float tmp;
	if ((t_0 * t_1) <= 0.05000000074505806f) {
		tmp = sqrtf((fmaf((1.0f + u1), u1, 1.0f) * u1)) * t_1;
	} else {
		tmp = t_0 * fmaf(((((((t_2 * t_2) - 4217.124896033587f) / (t_2 - 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))
	t_2 = Float32(Float32(u2 * u2) * Float32(-85.45681720672748))
	tmp = Float32(0.0)
	if (Float32(t_0 * t_1) <= Float32(0.05000000074505806))
		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(Float32(Float32(Float32(t_2 * t_2) - Float32(4217.124896033587)) / Float32(t_2 - 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)\\
t_2 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\
\mathbf{if}\;t\_0 \cdot t\_1 \leq 0.05000000074505806:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot t\_1\\

\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \mathsf{fma}\left(\left(\frac{t\_2 \cdot t\_2 - 4217.124896033587}{t\_2 - 64.93939402268539} \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))) < 0.0500000007

    1. Initial program 99.0%

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

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

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites98.4%

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

    if 0.0500000007 < (*.f32 (sqrt.f32 (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))) (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2)))

    1. Initial program 99.2%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    3. 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-*.f3297.4

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    4. Applied rewrites97.4%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    5. Applied rewrites97.4%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot u2\right) \cdot u2 - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
    7. Applied rewrites97.4%

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

Alternative 4: 98.9% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (/ u1 (/ (- 1.0 (pow u1 3.0)) (+ 1.0 (fma u1 u1 (* 1.0 u1))))))
  (cos (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / ((1.0f - powf(u1, 3.0f)) / (1.0f + fmaf(u1, u1, (1.0f * u1)))))) * cosf((6.28318530718f * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(Float32(1.0) - (u1 ^ Float32(3.0))) / Float32(Float32(1.0) + fma(u1, u1, Float32(Float32(1.0) * u1)))))) * cos(Float32(Float32(6.28318530718) * u2)))
end
\begin{array}{l}

\\
\sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right)
\end{array}
Derivation
  1. Initial program 99.0%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  2. 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. flip3--N/A

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \color{blue}{\mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    10. lower-*.f3298.9

      \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, \color{blue}{1 \cdot u1}\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  3. Applied rewrites98.9%

    \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  4. Add Preprocessing

Alternative 5: 98.9% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - {u1}^{3}} \cdot \mathsf{fma}\left(1 + u1, u1, 1\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (* (/ u1 (- 1.0 (pow u1 3.0))) (fma (+ 1.0 u1) u1 1.0)))
  (cos (* 6.28318530718 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(((u1 / (1.0f - powf(u1, 3.0f))) * fmaf((1.0f + u1), u1, 1.0f))) * cosf((6.28318530718f * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(Float32(u1 / Float32(Float32(1.0) - (u1 ^ Float32(3.0)))) * fma(Float32(Float32(1.0) + u1), u1, Float32(1.0)))) * cos(Float32(Float32(6.28318530718) * u2)))
end
\begin{array}{l}

\\
\sqrt{\frac{u1}{1 - {u1}^{3}} \cdot \mathsf{fma}\left(1 + u1, u1, 1\right)} \cdot \cos \left(6.28318530718 \cdot u2\right)
\end{array}
Derivation
  1. Initial program 99.0%

    \[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  2. 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. flip3--N/A

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \color{blue}{\mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    10. lower-*.f3298.9

      \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, \color{blue}{1 \cdot u1}\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  3. Applied rewrites98.9%

    \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  4. Step-by-step derivation
    1. lift-/.f32N/A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\frac{u1}{1 - {u1}^{3}} \cdot \color{blue}{\mathsf{fma}\left(1 + u1, u1, 1\right)}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    18. lift-+.f3298.9

      \[\leadsto \sqrt{\frac{u1}{1 - {u1}^{3}} \cdot \mathsf{fma}\left(\color{blue}{1 + u1}, u1, 1\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  5. Applied rewrites98.9%

    \[\leadsto \sqrt{\color{blue}{\frac{u1}{1 - {u1}^{3}} \cdot \mathsf{fma}\left(1 + u1, u1, 1\right)}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  6. Add Preprocessing

Alternative 6: 86.8% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\cos \left(6.28318530718 \cdot u2\right) \leq 0.9999989867210388:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (cos (* 6.28318530718 u2)) 0.9999989867210388)
   (*
    (sqrt (* (fma (+ 1.0 u1) u1 1.0) 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)) <= 0.9999989867210388f) {
		tmp = sqrtf((fmaf((1.0f + u1), u1, 1.0f) * 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(0.9999989867210388))
		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)));
	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 0.9999989867210388:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot 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)) < 0.999998987

    1. Initial program 98.3%

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

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(1 + u1\right)\right)}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
    3. 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-+.f3290.0

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    4. Applied rewrites90.0%

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

      \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \color{blue}{\left(1 + \frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)} \]
    6. 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-*.f3266.3

        \[\leadsto \sqrt{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \]
    7. Applied rewrites66.3%

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

    if 0.999998987 < (cos.f32 (*.f32 #s(literal 314159265359/50000000000 binary32) u2))

    1. Initial program 99.5%

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

      \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
    3. 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.f3299.0

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
    4. Applied rewrites99.0%

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

Alternative 7: 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 99.0%

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

Alternative 8: 97.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;u2 \leq 0.11999999731779099:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \cdot \cos \left(6.28318530718 \cdot u2\right)\\ \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.11999999731779099)
   (*
    (sqrt (/ u1 (- 1.0 u1)))
    (fma
     (-
      (* (* (fma (* u2 u2) -85.45681720672748 64.93939402268539) u2) u2)
      19.739208802181317)
     (* u2 u2)
     1.0))
   (* (sqrt (fma u1 u1 u1)) (cos (* 6.28318530718 u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.11999999731779099f) {
		tmp = sqrtf((u1 / (1.0f - u1))) * fmaf((((fmaf((u2 * u2), -85.45681720672748f, 64.93939402268539f) * u2) * u2) - 19.739208802181317f), (u2 * u2), 1.0f);
	} else {
		tmp = sqrtf(fmaf(u1, u1, u1)) * cosf((6.28318530718f * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.11999999731779099))
		tmp = 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)));
	else
		tmp = Float32(sqrt(fma(u1, u1, u1)) * cos(Float32(Float32(6.28318530718) * u2)));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.11999999731779099:\\
\;\;\;\;\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)\\

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


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 0.119999997

    1. Initial program 99.3%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    3. 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-*.f3299.1

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    4. Applied rewrites99.1%

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
    5. Applied rewrites99.1%

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

    if 0.119999997 < u2

    1. Initial program 96.1%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    2. 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. flip3--N/A

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \color{blue}{\mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lower-*.f3296.1

        \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, \color{blue}{1 \cdot u1}\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    3. Applied rewrites96.1%

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    4. Taylor expanded in u1 around 0

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

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

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

        \[\leadsto \sqrt{u1 \cdot u1 + u1} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      4. lower-fma.f3285.5

        \[\leadsto \sqrt{\mathsf{fma}\left(u1, \color{blue}{u1}, u1\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    6. Applied rewrites85.5%

      \[\leadsto \sqrt{\color{blue}{\mathsf{fma}\left(u1, u1, u1\right)}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 9: 93.8% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(u2 \cdot u2\right) \cdot -85.45681720672748\\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{t\_0 \cdot t\_0 - 4217.124896033587}{t\_0 - 64.93939402268539} \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right) \end{array} \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (* (* 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(Float32(t_0 * t_0) - Float32(4217.124896033587)) / Float32(t_0 - Float32(64.93939402268539))) * 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(\left(\frac{t\_0 \cdot t\_0 - 4217.124896033587}{t\_0 - 64.93939402268539} \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)
\end{array}
\end{array}
Derivation
  1. Initial program 99.0%

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

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
  3. 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-*.f3293.8

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
  4. Applied rewrites93.8%

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
  5. Applied rewrites93.8%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{\left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) \cdot \left(\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right) - \frac{94885310160755698508969199161917078090991542041945444570644759847389875187381489531880769921}{22500000000000000000000000000000000000000000000000000000000000000000000000000000000000000}}{\left(u2 \cdot u2\right) \cdot \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} - \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} \cdot u2\right) \cdot u2 - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
  7. Applied rewrites93.8%

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

Alternative 10: 93.8% 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 99.0%

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

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
  3. 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-*.f3293.8

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
  4. Applied rewrites93.8%

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
  5. Applied rewrites93.8%

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

Alternative 11: 93.8% 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 99.0%

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

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
  3. 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-*.f3293.8

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
  4. Applied rewrites93.8%

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
  5. Applied rewrites93.8%

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

Alternative 12: 92.0% accurate, 2.5× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(64.93939402268539 \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right) \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (/ u1 (- 1.0 u1)))
  (fma (- (* (* 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(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(64.93939402268539 \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)
\end{array}
Derivation
  1. Initial program 99.0%

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

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
  3. 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-*.f3293.8

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
  4. Applied rewrites93.8%

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(-85.45681720672748, u2 \cdot u2, 64.93939402268539\right) \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot u2, 1\right)} \]
  5. Applied rewrites93.8%

    \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\mathsf{fma}\left(u2 \cdot u2, -85.45681720672748, 64.93939402268539\right) \cdot u2\right) \cdot u2 - 19.739208802181317, u2 \cdot u2, 1\right)} \]
  6. Taylor expanded in u2 around 0

    \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot u2\right) \cdot u2 - \frac{98696044010906577398881}{5000000000000000000000}, u2 \cdot u2, 1\right) \]
  7. Step-by-step derivation
    1. Applied rewrites92.0%

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

    Alternative 13: 92.0% 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 99.0%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + {u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)} \]
    3. 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-*.f3292.0

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(64.93939402268539 \cdot \left(u2 \cdot u2\right) - 19.739208802181317, u2 \cdot \color{blue}{u2}, 1\right) \]
    4. Applied rewrites92.0%

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

    Alternative 14: 88.9% 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 99.0%

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

      \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \color{blue}{\left(1 + \frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)} \]
    3. 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-*.f3288.9

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \mathsf{fma}\left(u2 \cdot u2, -19.739208802181317, 1\right) \]
    4. Applied rewrites88.9%

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

    Alternative 15: 80.6% 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 99.0%

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

      \[\leadsto \color{blue}{\sqrt{\frac{u1}{1 - u1}}} \]
    3. 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.f3280.6

        \[\leadsto \sqrt{\frac{u1}{1 - u1}} \]
    4. Applied rewrites80.6%

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

    Alternative 16: 72.0% accurate, 7.9× speedup?

    \[\begin{array}{l} \\ \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \end{array} \]
    (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (fma u1 u1 u1)))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf(fmaf(u1, u1, u1));
    }
    
    function code(cosTheta_i, u1, u2)
    	return sqrt(fma(u1, u1, u1))
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{\mathsf{fma}\left(u1, u1, u1\right)}
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    2. 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. flip3--N/A

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \color{blue}{\mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lower-*.f3298.9

        \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, \color{blue}{1 \cdot u1}\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    3. Applied rewrites98.9%

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    4. Taylor expanded in u2 around 0

      \[\leadsto \color{blue}{\sqrt{\frac{u1 \cdot \left(1 + \left(u1 + {u1}^{2}\right)\right)}{1 - {u1}^{3}}}} \]
    5. Step-by-step derivation
      1. lower-sqrt.f32N/A

        \[\leadsto \sqrt{\frac{u1 \cdot \left(1 + \left(u1 + {u1}^{2}\right)\right)}{1 - {u1}^{3}}} \]
      2. distribute-lft-inN/A

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

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

        \[\leadsto \sqrt{\frac{u1 \cdot 1 + u1 \cdot \left(1 \cdot u1 + u1 \cdot u1\right)}{1 - {u1}^{3}}} \]
      5. distribute-rgt-inN/A

        \[\leadsto \sqrt{\frac{u1 \cdot 1 + u1 \cdot \left(u1 \cdot \left(1 + u1\right)\right)}{1 - {u1}^{3}}} \]
      6. distribute-lft-inN/A

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

        \[\leadsto \sqrt{\frac{u1 \cdot \left(1 + u1 \cdot \left(1 + u1\right)\right)}{1 - {u1}^{3}}} \]
    6. Applied rewrites80.5%

      \[\leadsto \color{blue}{\sqrt{\frac{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1}{1 - {u1}^{3}}}} \]
    7. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{u1 \cdot \left(1 + u1\right)} \]
    8. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \sqrt{u1 \cdot \left(u1 + 1\right)} \]
      2. distribute-rgt-outN/A

        \[\leadsto \sqrt{u1 \cdot u1 + 1 \cdot u1} \]
      3. *-lft-identityN/A

        \[\leadsto \sqrt{u1 \cdot u1 + u1} \]
      4. lower-fma.f3272.0

        \[\leadsto \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \]
    9. Applied rewrites72.0%

      \[\leadsto \sqrt{\mathsf{fma}\left(u1, u1, u1\right)} \]
    10. Add Preprocessing

    Alternative 17: 63.7% accurate, 12.3× speedup?

    \[\begin{array}{l} \\ \sqrt{u1} \end{array} \]
    (FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt u1))
    float code(float cosTheta_i, float u1, float u2) {
    	return sqrtf(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)
    end function
    
    function code(cosTheta_i, u1, u2)
    	return sqrt(u1)
    end
    
    function tmp = code(cosTheta_i, u1, u2)
    	tmp = sqrt(u1);
    end
    
    \begin{array}{l}
    
    \\
    \sqrt{u1}
    \end{array}
    
    Derivation
    1. Initial program 99.0%

      \[\sqrt{\frac{u1}{1 - u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    2. 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. flip3--N/A

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \color{blue}{\mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(\frac{314159265359}{50000000000} \cdot u2\right) \]
      10. lower-*.f3298.9

        \[\leadsto \sqrt{\frac{u1}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, \color{blue}{1 \cdot u1}\right)}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    3. Applied rewrites98.9%

      \[\leadsto \sqrt{\frac{u1}{\color{blue}{\frac{1 - {u1}^{3}}{1 + \mathsf{fma}\left(u1, u1, 1 \cdot u1\right)}}}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
    4. Taylor expanded in u2 around 0

      \[\leadsto \color{blue}{\sqrt{\frac{u1 \cdot \left(1 + \left(u1 + {u1}^{2}\right)\right)}{1 - {u1}^{3}}}} \]
    5. Step-by-step derivation
      1. lower-sqrt.f32N/A

        \[\leadsto \sqrt{\frac{u1 \cdot \left(1 + \left(u1 + {u1}^{2}\right)\right)}{1 - {u1}^{3}}} \]
      2. distribute-lft-inN/A

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

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

        \[\leadsto \sqrt{\frac{u1 \cdot 1 + u1 \cdot \left(1 \cdot u1 + u1 \cdot u1\right)}{1 - {u1}^{3}}} \]
      5. distribute-rgt-inN/A

        \[\leadsto \sqrt{\frac{u1 \cdot 1 + u1 \cdot \left(u1 \cdot \left(1 + u1\right)\right)}{1 - {u1}^{3}}} \]
      6. distribute-lft-inN/A

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

        \[\leadsto \sqrt{\frac{u1 \cdot \left(1 + u1 \cdot \left(1 + u1\right)\right)}{1 - {u1}^{3}}} \]
    6. Applied rewrites80.5%

      \[\leadsto \color{blue}{\sqrt{\frac{\mathsf{fma}\left(1 + u1, u1, 1\right) \cdot u1}{1 - {u1}^{3}}}} \]
    7. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{u1} \]
    8. Step-by-step derivation
      1. Applied rewrites63.7%

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

      Reproduce

      ?
      herbie shell --seed 2025100 
      (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))))