Beckmann Sample, near normal, slope_y

Percentage Accurate: 58.2% → 98.3%
Time: 5.6s
Alternatives: 19
Speedup: 4.7×

Specification

?
\[\left(\left(cosTheta\_i > 0.9999 \land cosTheta\_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]
\[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log (- 1.0 u1)))) (sin (* (* 2.0 PI) u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-logf((1.0f - u1))) * sinf(((2.0f * ((float) M_PI)) * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * sin(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt(-log((single(1.0) - u1))) * sin(((single(2.0) * single(pi)) * u2));
end
\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)

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 19 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: 58.2% accurate, 1.0× speedup?

\[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log (- 1.0 u1)))) (sin (* (* 2.0 PI) u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-logf((1.0f - u1))) * sinf(((2.0f * ((float) M_PI)) * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * sin(Float32(Float32(Float32(2.0) * Float32(pi)) * u2)))
end
function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt(-log((single(1.0) - u1))) * sin(((single(2.0) * single(pi)) * u2));
end
\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)

Alternative 1: 98.3% accurate, 1.0× speedup?

\[\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(6.2831854820251465 \cdot u2\right) \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (- (log1p (- u1)))) (sin (* 6.2831854820251465 u2))))
float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(-log1pf(-u1)) * sinf((6.2831854820251465f * u2));
}
function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * sin(Float32(Float32(6.2831854820251465) * u2)))
end
\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(6.2831854820251465 \cdot u2\right)
Derivation
  1. Initial program 58.2%

    \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  2. Step-by-step derivation
    1. lift-log.f32N/A

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

      \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. sub-flipN/A

      \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. lower-log1p.f32N/A

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. lower-neg.f3298.3

      \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  3. Applied rewrites98.3%

    \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
  4. Evaluated real constant98.3%

    \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
  5. Add Preprocessing

Alternative 2: 96.9% accurate, 1.0× speedup?

\[\begin{array}{l} t_0 := \sin \left(6.2831854820251465 \cdot u2\right)\\ \mathbf{if}\;u1 \leq 0.0032999999821186066:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot t\_0\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot t\_0\\ \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (sin (* 6.2831854820251465 u2))))
   (if (<= u1 0.0032999999821186066)
     (* (sqrt (* u1 (+ 1.0 (* 0.5 u1)))) t_0)
     (* (sqrt (- (log (- 1.0 u1)))) t_0))))
float code(float cosTheta_i, float u1, float u2) {
	float t_0 = sinf((6.2831854820251465f * u2));
	float tmp;
	if (u1 <= 0.0032999999821186066f) {
		tmp = sqrtf((u1 * (1.0f + (0.5f * u1)))) * t_0;
	} else {
		tmp = sqrtf(-logf((1.0f - u1))) * t_0;
	}
	return tmp;
}
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
    real(4) :: t_0
    real(4) :: tmp
    t_0 = sin((6.2831854820251465e0 * u2))
    if (u1 <= 0.0032999999821186066e0) then
        tmp = sqrt((u1 * (1.0e0 + (0.5e0 * u1)))) * t_0
    else
        tmp = sqrt(-log((1.0e0 - u1))) * t_0
    end if
    code = tmp
end function
function code(cosTheta_i, u1, u2)
	t_0 = sin(Float32(Float32(6.2831854820251465) * u2))
	tmp = Float32(0.0)
	if (u1 <= Float32(0.0032999999821186066))
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + Float32(Float32(0.5) * u1)))) * t_0);
	else
		tmp = Float32(sqrt(Float32(-log(Float32(Float32(1.0) - u1)))) * t_0);
	end
	return tmp
end
function tmp_2 = code(cosTheta_i, u1, u2)
	t_0 = sin((single(6.2831854820251465) * u2));
	tmp = single(0.0);
	if (u1 <= single(0.0032999999821186066))
		tmp = sqrt((u1 * (single(1.0) + (single(0.5) * u1)))) * t_0;
	else
		tmp = sqrt(-log((single(1.0) - u1))) * t_0;
	end
	tmp_2 = tmp;
end
\begin{array}{l}
t_0 := \sin \left(6.2831854820251465 \cdot u2\right)\\
\mathbf{if}\;u1 \leq 0.0032999999821186066:\\
\;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot t\_0\\

\mathbf{else}:\\
\;\;\;\;\sqrt{-\log \left(1 - u1\right)} \cdot t\_0\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u1 < 0.0033

    1. Initial program 58.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. Step-by-step derivation
      1. lower-*.f32N/A

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

        \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. lower-*.f3287.8

        \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Applied rewrites87.8%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Evaluated real constant87.8%

      \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]

    if 0.0033 < u1

    1. Initial program 58.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Evaluated real constant58.2%

      \[\leadsto \sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 3: 96.3% accurate, 1.0× speedup?

\[\begin{array}{l} \mathbf{if}\;u2 \leq 0.012000000104308128:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \sin \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.012000000104308128)
   (*
    (sqrt (- (log1p (- u1))))
    (* u2 (+ 6.2831854820251465 (* -41.341705691712875 (pow u2 2.0)))))
   (* (sqrt (* u1 (+ 1.0 (* 0.5 u1)))) (sin (* 6.2831854820251465 u2)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.012000000104308128f) {
		tmp = sqrtf(-log1pf(-u1)) * (u2 * (6.2831854820251465f + (-41.341705691712875f * powf(u2, 2.0f))));
	} else {
		tmp = sqrtf((u1 * (1.0f + (0.5f * u1)))) * sinf((6.2831854820251465f * u2));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.012000000104308128))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(u2 * Float32(Float32(6.2831854820251465) + Float32(Float32(-41.341705691712875) * (u2 ^ Float32(2.0))))));
	else
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + Float32(Float32(0.5) * u1)))) * sin(Float32(Float32(6.2831854820251465) * u2)));
	end
	return tmp
end
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.012000000104308128:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \sin \left(6.2831854820251465 \cdot u2\right)\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 0.0120000001

    1. Initial program 58.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. lower-log1p.f32N/A

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.3

        \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. Applied rewrites98.3%

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Evaluated real constant98.3%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}\right)\right)} \]
    6. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}\right)}\right) \]
      2. lower-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(\frac{13176795}{2097152} + \color{blue}{\frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}}\right)\right) \]
      3. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot \color{blue}{{u2}^{2}}\right)\right) \]
      4. lower-pow.f3289.4

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{\color{blue}{2}}\right)\right) \]
    7. Applied rewrites89.4%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)} \]

    if 0.0120000001 < u2

    1. Initial program 58.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. Step-by-step derivation
      1. lower-*.f32N/A

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

        \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. lower-*.f3287.8

        \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Applied rewrites87.8%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    5. Evaluated real constant87.8%

      \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 4: 94.4% accurate, 1.1× speedup?

\[\begin{array}{l} \mathbf{if}\;u2 \leq 0.057999998331069946:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(-2 \cdot u2, \pi, \pi\right)\right)\\ \end{array} \]
(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= u2 0.057999998331069946)
   (*
    (sqrt (- (log1p (- u1))))
    (* u2 (+ 6.2831854820251465 (* -41.341705691712875 (pow u2 2.0)))))
   (* (sqrt u1) (sin (fma (* -2.0 u2) PI PI)))))
float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if (u2 <= 0.057999998331069946f) {
		tmp = sqrtf(-log1pf(-u1)) * (u2 * (6.2831854820251465f + (-41.341705691712875f * powf(u2, 2.0f))));
	} else {
		tmp = sqrtf(u1) * sinf(fmaf((-2.0f * u2), ((float) M_PI), ((float) M_PI)));
	}
	return tmp;
}
function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (u2 <= Float32(0.057999998331069946))
		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(u2 * Float32(Float32(6.2831854820251465) + Float32(Float32(-41.341705691712875) * (u2 ^ Float32(2.0))))));
	else
		tmp = Float32(sqrt(u1) * sin(fma(Float32(Float32(-2.0) * u2), Float32(pi), Float32(pi))));
	end
	return tmp
end
\begin{array}{l}
\mathbf{if}\;u2 \leq 0.057999998331069946:\\
\;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\sqrt{u1} \cdot \sin \left(\mathsf{fma}\left(-2 \cdot u2, \pi, \pi\right)\right)\\


\end{array}
Derivation
  1. Split input into 2 regimes
  2. if u2 < 0.0579999983

    1. Initial program 58.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Step-by-step derivation
      1. lift-log.f32N/A

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

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. sub-flipN/A

        \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. lower-log1p.f32N/A

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      5. lower-neg.f3298.3

        \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. Applied rewrites98.3%

      \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    4. Evaluated real constant98.3%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
    5. Taylor expanded in u2 around 0

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}\right)\right)} \]
    6. Step-by-step derivation
      1. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}\right)}\right) \]
      2. lower-+.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(\frac{13176795}{2097152} + \color{blue}{\frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}}\right)\right) \]
      3. lower-*.f32N/A

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot \color{blue}{{u2}^{2}}\right)\right) \]
      4. lower-pow.f3289.4

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{\color{blue}{2}}\right)\right) \]
    7. Applied rewrites89.4%

      \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)} \]

    if 0.0579999983 < u2

    1. Initial program 58.2%

      \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    2. Taylor expanded in u1 around 0

      \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
    3. Step-by-step derivation
      1. Applied rewrites76.3%

        \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. Step-by-step derivation
        1. *-lft-identityN/A

          \[\leadsto \sqrt{u1} \cdot \color{blue}{\left(1 \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)\right)} \]
        2. metadata-evalN/A

          \[\leadsto \sqrt{u1} \cdot \left(\color{blue}{\left(\mathsf{neg}\left(-1\right)\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)\right) \]
        3. distribute-lft-neg-outN/A

          \[\leadsto \sqrt{u1} \cdot \color{blue}{\left(\mathsf{neg}\left(-1 \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)\right)\right)} \]
        4. metadata-evalN/A

          \[\leadsto \sqrt{u1} \cdot \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(1\right)\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)\right)\right) \]
        5. distribute-lft-neg-outN/A

          \[\leadsto \sqrt{u1} \cdot \left(\mathsf{neg}\left(\color{blue}{\left(\mathsf{neg}\left(1 \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right)\right)\right)}\right)\right) \]
        6. *-lft-identityN/A

          \[\leadsto \sqrt{u1} \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\sin \left(\left(2 \cdot \pi\right) \cdot u2\right)}\right)\right)\right)\right) \]
        7. lift-sin.f32N/A

          \[\leadsto \sqrt{u1} \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\sin \left(\left(2 \cdot \pi\right) \cdot u2\right)}\right)\right)\right)\right) \]
        8. sin-neg-revN/A

          \[\leadsto \sqrt{u1} \cdot \left(\mathsf{neg}\left(\color{blue}{\sin \left(\mathsf{neg}\left(\left(2 \cdot \pi\right) \cdot u2\right)\right)}\right)\right) \]
        9. sin-+PI-revN/A

          \[\leadsto \sqrt{u1} \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(\left(2 \cdot \pi\right) \cdot u2\right)\right) + \mathsf{PI}\left(\right)\right)} \]
        10. lower-sin.f32N/A

          \[\leadsto \sqrt{u1} \cdot \color{blue}{\sin \left(\left(\mathsf{neg}\left(\left(2 \cdot \pi\right) \cdot u2\right)\right) + \mathsf{PI}\left(\right)\right)} \]
        11. lift-*.f32N/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\left(\mathsf{neg}\left(\color{blue}{\left(2 \cdot \pi\right) \cdot u2}\right)\right) + \mathsf{PI}\left(\right)\right) \]
        12. distribute-lft-neg-outN/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\color{blue}{\left(\mathsf{neg}\left(2 \cdot \pi\right)\right) \cdot u2} + \mathsf{PI}\left(\right)\right) \]
        13. lift-*.f32N/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\left(\mathsf{neg}\left(\color{blue}{2 \cdot \pi}\right)\right) \cdot u2 + \mathsf{PI}\left(\right)\right) \]
        14. distribute-lft-neg-outN/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\color{blue}{\left(\left(\mathsf{neg}\left(2\right)\right) \cdot \pi\right)} \cdot u2 + \mathsf{PI}\left(\right)\right) \]
        15. associate-*l*N/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\color{blue}{\left(\mathsf{neg}\left(2\right)\right) \cdot \left(\pi \cdot u2\right)} + \mathsf{PI}\left(\right)\right) \]
        16. *-commutativeN/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\left(\mathsf{neg}\left(2\right)\right) \cdot \color{blue}{\left(u2 \cdot \pi\right)} + \mathsf{PI}\left(\right)\right) \]
        17. associate-*r*N/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\color{blue}{\left(\left(\mathsf{neg}\left(2\right)\right) \cdot u2\right) \cdot \pi} + \mathsf{PI}\left(\right)\right) \]
        18. lift-PI.f32N/A

          \[\leadsto \sqrt{u1} \cdot \sin \left(\left(\left(\mathsf{neg}\left(2\right)\right) \cdot u2\right) \cdot \pi + \color{blue}{\pi}\right) \]
      3. Applied rewrites48.8%

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

    Alternative 5: 94.3% accurate, 1.2× speedup?

    \[\begin{array}{l} \mathbf{if}\;u2 \leq 0.017000000923871994:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
    (FPCore (cosTheta_i u1 u2)
     :precision binary32
     (if (<= u2 0.017000000923871994)
       (*
        (sqrt (- (log1p (- u1))))
        (* u2 (+ 6.2831854820251465 (* -41.341705691712875 (pow u2 2.0)))))
       (* (sqrt u1) (sin (* 6.2831854820251465 u2)))))
    float code(float cosTheta_i, float u1, float u2) {
    	float tmp;
    	if (u2 <= 0.017000000923871994f) {
    		tmp = sqrtf(-log1pf(-u1)) * (u2 * (6.2831854820251465f + (-41.341705691712875f * powf(u2, 2.0f))));
    	} else {
    		tmp = sqrtf(u1) * sinf((6.2831854820251465f * u2));
    	}
    	return tmp;
    }
    
    function code(cosTheta_i, u1, u2)
    	tmp = Float32(0.0)
    	if (u2 <= Float32(0.017000000923871994))
    		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(u2 * Float32(Float32(6.2831854820251465) + Float32(Float32(-41.341705691712875) * (u2 ^ Float32(2.0))))));
    	else
    		tmp = Float32(sqrt(u1) * sin(Float32(Float32(6.2831854820251465) * u2)));
    	end
    	return tmp
    end
    
    \begin{array}{l}
    \mathbf{if}\;u2 \leq 0.017000000923871994:\\
    \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt{u1} \cdot \sin \left(6.2831854820251465 \cdot u2\right)\\
    
    
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if u2 < 0.0170000009

      1. Initial program 58.2%

        \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. Step-by-step derivation
        1. lift-log.f32N/A

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

          \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        3. sub-flipN/A

          \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-log1p.f32N/A

          \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. lower-neg.f3298.3

          \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. Applied rewrites98.3%

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Evaluated real constant98.3%

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
      5. Taylor expanded in u2 around 0

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}\right)\right)} \]
      6. Step-by-step derivation
        1. lower-*.f32N/A

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}\right)}\right) \]
        2. lower-+.f32N/A

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(\frac{13176795}{2097152} + \color{blue}{\frac{-762619864465648886625}{18446744073709551616} \cdot {u2}^{2}}\right)\right) \]
        3. lower-*.f32N/A

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(\frac{13176795}{2097152} + \frac{-762619864465648886625}{18446744073709551616} \cdot \color{blue}{{u2}^{2}}\right)\right) \]
        4. lower-pow.f3289.4

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{\color{blue}{2}}\right)\right) \]
      7. Applied rewrites89.4%

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(6.2831854820251465 + -41.341705691712875 \cdot {u2}^{2}\right)\right)} \]

      if 0.0170000009 < u2

      1. Initial program 58.2%

        \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      2. Step-by-step derivation
        1. lift-log.f32N/A

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

          \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        3. sub-flipN/A

          \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. lower-log1p.f32N/A

          \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        5. lower-neg.f3298.3

          \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      3. Applied rewrites98.3%

        \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
      4. Evaluated real constant98.3%

        \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
      5. Taylor expanded in u1 around 0

        \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\frac{13176795}{2097152} \cdot u2\right) \]
      6. Step-by-step derivation
        1. Applied rewrites76.3%

          \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(6.2831854820251465 \cdot u2\right) \]
      7. Recombined 2 regimes into one program.
      8. Add Preprocessing

      Alternative 6: 90.7% accurate, 1.2× speedup?

      \[\begin{array}{l} \mathbf{if}\;u2 \leq 0.0010999999940395355:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{u1} \cdot \sin \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
      (FPCore (cosTheta_i u1 u2)
       :precision binary32
       (if (<= u2 0.0010999999940395355)
         (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))
         (* (sqrt u1) (sin (* 6.2831854820251465 u2)))))
      float code(float cosTheta_i, float u1, float u2) {
      	float tmp;
      	if (u2 <= 0.0010999999940395355f) {
      		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
      	} else {
      		tmp = sqrtf(u1) * sinf((6.2831854820251465f * u2));
      	}
      	return tmp;
      }
      
      function code(cosTheta_i, u1, u2)
      	tmp = Float32(0.0)
      	if (u2 <= Float32(0.0010999999940395355))
      		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
      	else
      		tmp = Float32(sqrt(u1) * sin(Float32(Float32(6.2831854820251465) * u2)));
      	end
      	return tmp
      end
      
      \begin{array}{l}
      \mathbf{if}\;u2 \leq 0.0010999999940395355:\\
      \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
      
      \mathbf{else}:\\
      \;\;\;\;\sqrt{u1} \cdot \sin \left(6.2831854820251465 \cdot u2\right)\\
      
      
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if u2 < 0.0011

        1. Initial program 58.2%

          \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        2. Step-by-step derivation
          1. lift-log.f32N/A

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

            \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. sub-flipN/A

            \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-log1p.f32N/A

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. lower-neg.f3298.3

            \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        3. Applied rewrites98.3%

          \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Evaluated real constant98.3%

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
        5. Taylor expanded in u2 around 0

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
        6. Step-by-step derivation
          1. lower-*.f3281.7

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
        7. Applied rewrites81.7%

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]

        if 0.0011 < u2

        1. Initial program 58.2%

          \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        2. Step-by-step derivation
          1. lift-log.f32N/A

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

            \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. sub-flipN/A

            \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. lower-log1p.f32N/A

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. lower-neg.f3298.3

            \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        3. Applied rewrites98.3%

          \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
        4. Evaluated real constant98.3%

          \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
        5. Taylor expanded in u1 around 0

          \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\frac{13176795}{2097152} \cdot u2\right) \]
        6. Step-by-step derivation
          1. Applied rewrites76.3%

            \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(6.2831854820251465 \cdot u2\right) \]
        7. Recombined 2 regimes into one program.
        8. Add Preprocessing

        Alternative 7: 87.8% accurate, 1.2× speedup?

        \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.03500000014901161:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + u1 \cdot \left(0.5 + 0.3333333333333333 \cdot u1\right)\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= u1 0.03500000014901161)
           (*
            (sqrt (* u1 (+ 1.0 (* u1 (+ 0.5 (* 0.3333333333333333 u1))))))
            (* (* PI (fma (* (* (* u2 u2) -1.3333333333333333) PI) PI 2.0)) u2))
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (u1 <= 0.03500000014901161f) {
        		tmp = sqrtf((u1 * (1.0f + (u1 * (0.5f + (0.3333333333333333f * u1)))))) * ((((float) M_PI) * fmaf((((u2 * u2) * -1.3333333333333333f) * ((float) M_PI)), ((float) M_PI), 2.0f)) * u2);
        	} else {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (u1 <= Float32(0.03500000014901161))
        		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + Float32(u1 * Float32(Float32(0.5) + Float32(Float32(0.3333333333333333) * u1)))))) * Float32(Float32(Float32(pi) * fma(Float32(Float32(Float32(u2 * u2) * Float32(-1.3333333333333333)) * Float32(pi)), Float32(pi), Float32(2.0))) * u2));
        	else
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;u1 \leq 0.03500000014901161:\\
        \;\;\;\;\sqrt{u1 \cdot \left(1 + u1 \cdot \left(0.5 + 0.3333333333333333 \cdot u1\right)\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if u1 < 0.0350000001

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            2. lift-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            3. +-commutativeN/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            4. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            5. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \mathsf{fma}\left(\frac{1}{2}, \color{blue}{u1}, 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            6. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            7. lift-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            8. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lift-*.f32, \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)\right) \]
            9. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(*-commutative, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
            10. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lower-*.f32, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)} \]
          10. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right)}} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
          11. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)\right)}} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            2. lower-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{u1 \cdot \left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)}\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \color{blue}{\left(\frac{1}{2} + \frac{1}{3} \cdot u1\right)}\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            4. lower-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(\frac{1}{2} + \color{blue}{\frac{1}{3} \cdot u1}\right)\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            5. lower-*.f3283.5

              \[\leadsto \sqrt{u1 \cdot \left(1 + u1 \cdot \left(0.5 + 0.3333333333333333 \cdot \color{blue}{u1}\right)\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
          12. Applied rewrites83.5%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + u1 \cdot \left(0.5 + 0.3333333333333333 \cdot u1\right)\right)}} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]

          if 0.0350000001 < u1

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
        3. Recombined 2 regimes into one program.
        4. Add Preprocessing

        Alternative 8: 86.9% accurate, 1.2× speedup?

        \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.0007999999797903001:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right), u2, \pi \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= u1 0.0007999999797903001)
           (*
            (sqrt (* u1 (+ 1.0 (* 0.5 u1))))
            (fma
             (fma (* (* (* (* u2 u2) -1.3333333333333333) PI) PI) PI PI)
             u2
             (* PI u2)))
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (u1 <= 0.0007999999797903001f) {
        		tmp = sqrtf((u1 * (1.0f + (0.5f * u1)))) * fmaf(fmaf(((((u2 * u2) * -1.3333333333333333f) * ((float) M_PI)) * ((float) M_PI)), ((float) M_PI), ((float) M_PI)), u2, (((float) M_PI) * u2));
        	} else {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (u1 <= Float32(0.0007999999797903001))
        		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + Float32(Float32(0.5) * u1)))) * fma(fma(Float32(Float32(Float32(Float32(u2 * u2) * Float32(-1.3333333333333333)) * Float32(pi)) * Float32(pi)), Float32(pi), Float32(pi)), u2, Float32(Float32(pi) * u2)));
        	else
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;u1 \leq 0.0007999999797903001:\\
        \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right), u2, \pi \cdot u2\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if u1 < 7.9999998e-4

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)}\right) \]
            2. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \color{blue}{2 \cdot \pi}\right)\right) \]
            3. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + 2 \cdot \color{blue}{\pi}\right)\right) \]
            4. count-2-revN/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \left(\pi + \color{blue}{\pi}\right)\right)\right) \]
            5. associate-+r+N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \pi\right) + \color{blue}{\pi}\right)\right) \]
            6. distribute-rgt-inN/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \pi\right) \cdot u2 + \color{blue}{\pi \cdot u2}\right) \]
            7. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \mathsf{fma}\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \pi, \color{blue}{u2}, \pi \cdot u2\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right), \color{blue}{u2}, \pi \cdot u2\right) \]

          if 7.9999998e-4 < u1

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
        3. Recombined 2 regimes into one program.
        4. Add Preprocessing

        Alternative 9: 86.9% accurate, 1.3× speedup?

        \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.0007999999797903001:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\mathsf{fma}\left(\pi \cdot \left(u2 \cdot u2\right), -1.3333333333333333 \cdot \pi, 1\right) + 1\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= u1 0.0007999999797903001)
           (*
            (sqrt (* (fma 0.5 u1 1.0) u1))
            (*
             (* PI (+ (fma (* PI (* u2 u2)) (* -1.3333333333333333 PI) 1.0) 1.0))
             u2))
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (u1 <= 0.0007999999797903001f) {
        		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * ((((float) M_PI) * (fmaf((((float) M_PI) * (u2 * u2)), (-1.3333333333333333f * ((float) M_PI)), 1.0f) + 1.0f)) * u2);
        	} else {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (u1 <= Float32(0.0007999999797903001))
        		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * Float32(Float32(Float32(pi) * Float32(fma(Float32(Float32(pi) * Float32(u2 * u2)), Float32(Float32(-1.3333333333333333) * Float32(pi)), Float32(1.0)) + Float32(1.0))) * u2));
        	else
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;u1 \leq 0.0007999999797903001:\\
        \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\mathsf{fma}\left(\pi \cdot \left(u2 \cdot u2\right), -1.3333333333333333 \cdot \pi, 1\right) + 1\right)\right) \cdot u2\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if u1 < 7.9999998e-4

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            2. lift-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            3. +-commutativeN/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            4. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            5. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \mathsf{fma}\left(\frac{1}{2}, \color{blue}{u1}, 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            6. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            7. lift-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            8. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lift-*.f32, \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)\right) \]
            9. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(*-commutative, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
            10. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lower-*.f32, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)} \]
          10. Step-by-step derivation
            1. lift-fma.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi + 2\right)\right) \cdot u2\right) \]
            2. metadata-evalN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi + \left(1 + 1\right)\right)\right) \cdot u2\right) \]
            3. associate-+r+N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi + 1\right) + 1\right)\right) \cdot u2\right) \]
            4. lower-+.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi + 1\right) + 1\right)\right) \cdot u2\right) \]
            5. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\pi \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) + 1\right) + 1\right)\right) \cdot u2\right) \]
            6. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\pi \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) + 1\right) + 1\right)\right) \cdot u2\right) \]
            7. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\pi \cdot \left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) + 1\right) + 1\right)\right) \cdot u2\right) \]
            8. associate-*l*N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\pi \cdot \left(\left(u2 \cdot u2\right) \cdot \left(\frac{-4}{3} \cdot \pi\right)\right) + 1\right) + 1\right)\right) \cdot u2\right) \]
            9. associate-*r*N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\left(\pi \cdot \left(u2 \cdot u2\right)\right) \cdot \left(\frac{-4}{3} \cdot \pi\right) + 1\right) + 1\right)\right) \cdot u2\right) \]
            10. lower-fma.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\mathsf{fma}\left(\pi \cdot \left(u2 \cdot u2\right), \frac{-4}{3} \cdot \pi, 1\right) + 1\right)\right) \cdot u2\right) \]
            11. lower-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\mathsf{fma}\left(\pi \cdot \left(u2 \cdot u2\right), \frac{-4}{3} \cdot \pi, 1\right) + 1\right)\right) \cdot u2\right) \]
            12. lower-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\mathsf{fma}\left(\pi \cdot \left(u2 \cdot u2\right), -1.3333333333333333 \cdot \pi, 1\right) + 1\right)\right) \cdot u2\right) \]
          11. Applied rewrites80.4%

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\mathsf{fma}\left(\pi \cdot \left(u2 \cdot u2\right), -1.3333333333333333 \cdot \pi, 1\right) + 1\right)\right) \cdot u2\right) \]

          if 7.9999998e-4 < u1

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
        3. Recombined 2 regimes into one program.
        4. Add Preprocessing

        Alternative 10: 86.9% accurate, 1.3× speedup?

        \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.0007999999797903001:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(-1.3333333333333333 \cdot \left(u2 \cdot u2\right)\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= u1 0.0007999999797903001)
           (*
            (sqrt (* (fma 0.5 u1 1.0) u1))
            (* (+ (fma (* (* (* -1.3333333333333333 (* u2 u2)) PI) PI) PI PI) PI) u2))
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (u1 <= 0.0007999999797903001f) {
        		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * ((fmaf((((-1.3333333333333333f * (u2 * u2)) * ((float) M_PI)) * ((float) M_PI)), ((float) M_PI), ((float) M_PI)) + ((float) M_PI)) * u2);
        	} else {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (u1 <= Float32(0.0007999999797903001))
        		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * Float32(Float32(fma(Float32(Float32(Float32(Float32(-1.3333333333333333) * Float32(u2 * u2)) * Float32(pi)) * Float32(pi)), Float32(pi), Float32(pi)) + Float32(pi)) * u2));
        	else
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;u1 \leq 0.0007999999797903001:\\
        \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(-1.3333333333333333 \cdot \left(u2 \cdot u2\right)\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if u1 < 7.9999998e-4

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            2. lift-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            3. +-commutativeN/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            4. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            5. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \mathsf{fma}\left(\frac{1}{2}, \color{blue}{u1}, 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            6. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            7. lift-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            8. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lift-*.f32, \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)\right) \]
            9. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(*-commutative, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
            10. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lower-*.f32, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)} \]
          10. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            2. lift-fma.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi + 2\right)\right) \cdot u2\right) \]
            3. distribute-rgt-inN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi\right) \cdot \pi + 2 \cdot \pi\right) \cdot u2\right) \]
            4. count-2-revN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi\right) \cdot \pi + \left(\pi + \pi\right)\right) \cdot u2\right) \]
            5. associate-+r+N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi\right) \cdot \pi + \pi\right) + \pi\right) \cdot u2\right) \]
            6. lower-+.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\left(\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi\right) \cdot \pi + \pi\right) + \pi\right) \cdot u2\right) \]
            7. lower-fma.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right) \]
            8. lower-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right) \]
            9. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right) \]
            10. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(\frac{-4}{3} \cdot \left(u2 \cdot u2\right)\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right) \]
            11. lower-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(-1.3333333333333333 \cdot \left(u2 \cdot u2\right)\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right) \]
          11. Applied rewrites80.4%

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\mathsf{fma}\left(\left(\left(-1.3333333333333333 \cdot \left(u2 \cdot u2\right)\right) \cdot \pi\right) \cdot \pi, \pi, \pi\right) + \pi\right) \cdot u2\right) \]

          if 7.9999998e-4 < u1

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
        3. Recombined 2 regimes into one program.
        4. Add Preprocessing

        Alternative 11: 86.9% accurate, 1.3× speedup?

        \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.0007999999797903001:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 1\right), \pi, \pi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= u1 0.0007999999797903001)
           (*
            (sqrt (* u1 (+ 1.0 (* 0.5 u1))))
            (* u2 (fma (fma (* (* (* u2 u2) -1.3333333333333333) PI) PI 1.0) PI PI)))
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (u1 <= 0.0007999999797903001f) {
        		tmp = sqrtf((u1 * (1.0f + (0.5f * u1)))) * (u2 * fmaf(fmaf((((u2 * u2) * -1.3333333333333333f) * ((float) M_PI)), ((float) M_PI), 1.0f), ((float) M_PI), ((float) M_PI)));
        	} else {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (u1 <= Float32(0.0007999999797903001))
        		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + Float32(Float32(0.5) * u1)))) * Float32(u2 * fma(fma(Float32(Float32(Float32(u2 * u2) * Float32(-1.3333333333333333)) * Float32(pi)), Float32(pi), Float32(1.0)), Float32(pi), Float32(pi))));
        	else
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;u1 \leq 0.0007999999797903001:\\
        \;\;\;\;\sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 1\right), \pi, \pi\right)\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if u1 < 7.9999998e-4

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \color{blue}{2 \cdot \pi}\right)\right) \]
            2. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + 2 \cdot \color{blue}{\pi}\right)\right) \]
            3. count-2-revN/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \left(\pi + \color{blue}{\pi}\right)\right)\right) \]
            4. associate-+r+N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \pi\right) + \color{blue}{\pi}\right)\right) \]
            5. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\pi}^{3}\right) + \pi\right) + \pi\right)\right) \]
            6. associate-*r*N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\left(\frac{-4}{3} \cdot {u2}^{2}\right) \cdot {\pi}^{3} + \pi\right) + \pi\right)\right) \]
            7. lift-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\left(\frac{-4}{3} \cdot {u2}^{2}\right) \cdot {\pi}^{3} + \pi\right) + \pi\right)\right) \]
            8. unpow3N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\left(\frac{-4}{3} \cdot {u2}^{2}\right) \cdot \left(\left(\pi \cdot \pi\right) \cdot \pi\right) + \pi\right) + \pi\right)\right) \]
            9. associate-*r*N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\left(\left(\frac{-4}{3} \cdot {u2}^{2}\right) \cdot \left(\pi \cdot \pi\right)\right) \cdot \pi + \pi\right) + \pi\right)\right) \]
            10. distribute-lft1-inN/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \left(\left(\left(\frac{-4}{3} \cdot {u2}^{2}\right) \cdot \left(\pi \cdot \pi\right) + 1\right) \cdot \pi + \pi\right)\right) \]
            11. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\left(\frac{-4}{3} \cdot {u2}^{2}\right) \cdot \left(\pi \cdot \pi\right) + 1, \color{blue}{\pi}, \pi\right)\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 1\right), \color{blue}{\pi}, \pi\right)\right) \]

          if 7.9999998e-4 < u1

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
        3. Recombined 2 regimes into one program.
        4. Add Preprocessing

        Alternative 12: 86.9% accurate, 1.4× speedup?

        \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.0007999999797903001:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5 \cdot u1, u1, u1\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= u1 0.0007999999797903001)
           (*
            (sqrt (fma (* 0.5 u1) u1 u1))
            (* (* PI (fma (* (* (* u2 u2) -1.3333333333333333) PI) PI 2.0)) u2))
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (u1 <= 0.0007999999797903001f) {
        		tmp = sqrtf(fmaf((0.5f * u1), u1, u1)) * ((((float) M_PI) * fmaf((((u2 * u2) * -1.3333333333333333f) * ((float) M_PI)), ((float) M_PI), 2.0f)) * u2);
        	} else {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (u1 <= Float32(0.0007999999797903001))
        		tmp = Float32(sqrt(fma(Float32(Float32(0.5) * u1), u1, u1)) * Float32(Float32(Float32(pi) * fma(Float32(Float32(Float32(u2 * u2) * Float32(-1.3333333333333333)) * Float32(pi)), Float32(pi), Float32(2.0))) * u2));
        	else
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;u1 \leq 0.0007999999797903001:\\
        \;\;\;\;\sqrt{\mathsf{fma}\left(0.5 \cdot u1, u1, u1\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if u1 < 7.9999998e-4

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            2. lift-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            3. +-commutativeN/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            4. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            5. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \mathsf{fma}\left(\frac{1}{2}, \color{blue}{u1}, 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            6. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            7. lift-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            8. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lift-*.f32, \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)\right) \]
            9. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(*-commutative, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
            10. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lower-*.f32, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)} \]
          10. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            2. *-commutativeN/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right)}} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            3. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            4. distribute-rgt-inN/A

              \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1\right) \cdot u1 + \color{blue}{1 \cdot u1}} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            5. *-lft-identityN/A

              \[\leadsto \sqrt{\left(\frac{1}{2} \cdot u1\right) \cdot u1 + u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            6. lower-fma.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2} \cdot u1, \color{blue}{u1}, u1\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            7. lower-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5 \cdot u1, u1, u1\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
          11. Applied rewrites80.4%

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5 \cdot u1, \color{blue}{u1}, u1\right)} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]

          if 7.9999998e-4 < u1

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
        3. Recombined 2 regimes into one program.
        4. Add Preprocessing

        Alternative 13: 86.9% accurate, 1.4× speedup?

        \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.0007999999797903001:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(-1.3333333333333333 \cdot \pi\right)\right), \pi, 2\right)\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= u1 0.0007999999797903001)
           (*
            (sqrt (* (fma 0.5 u1 1.0) u1))
            (* (* PI (fma (* u2 (* u2 (* -1.3333333333333333 PI))) PI 2.0)) u2))
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (u1 <= 0.0007999999797903001f) {
        		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * ((((float) M_PI) * fmaf((u2 * (u2 * (-1.3333333333333333f * ((float) M_PI)))), ((float) M_PI), 2.0f)) * u2);
        	} else {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (u1 <= Float32(0.0007999999797903001))
        		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * Float32(Float32(Float32(pi) * fma(Float32(u2 * Float32(u2 * Float32(Float32(-1.3333333333333333) * Float32(pi)))), Float32(pi), Float32(2.0))) * u2));
        	else
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;u1 \leq 0.0007999999797903001:\\
        \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(-1.3333333333333333 \cdot \pi\right)\right), \pi, 2\right)\right) \cdot u2\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if u1 < 7.9999998e-4

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            2. lift-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            3. +-commutativeN/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            4. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            5. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \mathsf{fma}\left(\frac{1}{2}, \color{blue}{u1}, 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            6. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            7. lift-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            8. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lift-*.f32, \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)\right) \]
            9. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(*-commutative, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
            10. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lower-*.f32, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)} \]
          10. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            2. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
            3. associate-*l*N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\frac{-4}{3} \cdot \pi\right), \pi, 2\right)\right) \cdot u2\right) \]
            4. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(u2 \cdot u2\right) \cdot \left(\frac{-4}{3} \cdot \pi\right), \pi, 2\right)\right) \cdot u2\right) \]
            5. associate-*l*N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \pi\right)\right), \pi, 2\right)\right) \cdot u2\right) \]
            6. lower-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \pi\right)\right), \pi, 2\right)\right) \cdot u2\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(\frac{-4}{3} \cdot \pi\right)\right), \pi, 2\right)\right) \cdot u2\right) \]
            8. lower-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(-1.3333333333333333 \cdot \pi\right)\right), \pi, 2\right)\right) \cdot u2\right) \]
          11. Applied rewrites80.4%

            \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(u2 \cdot \left(u2 \cdot \left(-1.3333333333333333 \cdot \pi\right)\right), \pi, 2\right)\right) \cdot u2\right) \]

          if 7.9999998e-4 < u1

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
        3. Recombined 2 regimes into one program.
        4. Add Preprocessing

        Alternative 14: 84.3% accurate, 1.3× speedup?

        \[\begin{array}{l} \mathbf{if}\;\log \left(1 - u1\right) \leq -6.000000212225132 \cdot 10^{-7}:\\ \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{1 \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)\\ \end{array} \]
        (FPCore (cosTheta_i u1 u2)
         :precision binary32
         (if (<= (log (- 1.0 u1)) -6.000000212225132e-7)
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2))
           (*
            (sqrt (* 1.0 u1))
            (* (* PI (fma (* (* (* u2 u2) -1.3333333333333333) PI) PI 2.0)) u2))))
        float code(float cosTheta_i, float u1, float u2) {
        	float tmp;
        	if (logf((1.0f - u1)) <= -6.000000212225132e-7f) {
        		tmp = sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
        	} else {
        		tmp = sqrtf((1.0f * u1)) * ((((float) M_PI) * fmaf((((u2 * u2) * -1.3333333333333333f) * ((float) M_PI)), ((float) M_PI), 2.0f)) * u2);
        	}
        	return tmp;
        }
        
        function code(cosTheta_i, u1, u2)
        	tmp = Float32(0.0)
        	if (log(Float32(Float32(1.0) - u1)) <= Float32(-6.000000212225132e-7))
        		tmp = Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2));
        	else
        		tmp = Float32(sqrt(Float32(Float32(1.0) * u1)) * Float32(Float32(Float32(pi) * fma(Float32(Float32(Float32(u2 * u2) * Float32(-1.3333333333333333)) * Float32(pi)), Float32(pi), Float32(2.0))) * u2));
        	end
        	return tmp
        end
        
        \begin{array}{l}
        \mathbf{if}\;\log \left(1 - u1\right) \leq -6.000000212225132 \cdot 10^{-7}:\\
        \;\;\;\;\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)\\
        
        \mathbf{else}:\\
        \;\;\;\;\sqrt{1 \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)\\
        
        
        \end{array}
        
        Derivation
        1. Split input into 2 regimes
        2. if (log.f32 (-.f32 #s(literal 1 binary32) u1)) < -6.0000002e-7

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]

          if -6.0000002e-7 < (log.f32 (-.f32 #s(literal 1 binary32) u1))

          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Step-by-step derivation
            1. lower-*.f32N/A

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

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. lower-*.f3287.8

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Applied rewrites87.8%

            \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
          6. Step-by-step derivation
            1. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
            2. lower-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            3. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            4. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            5. lower-pow.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            6. lower-PI.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            7. lower-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
            8. lower-PI.f3280.4

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
          7. Applied rewrites80.4%

            \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
          8. Step-by-step derivation
            1. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            2. lift-+.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            3. +-commutativeN/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            4. lift-*.f32N/A

              \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            5. lift-fma.f32N/A

              \[\leadsto \sqrt{u1 \cdot \mathsf{fma}\left(\frac{1}{2}, \color{blue}{u1}, 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            6. *-commutativeN/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            7. lift-*.f3280.4

              \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            8. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lift-*.f32, \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)\right) \]
            9. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(*-commutative, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
            10. lift-*.f32N/A

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lower-*.f32, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
          9. Applied rewrites80.4%

            \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)} \]
          10. Taylor expanded in u1 around 0

            \[\leadsto \sqrt{1 \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot \frac{-4}{3}\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
          11. Step-by-step derivation
            1. Applied rewrites70.6%

              \[\leadsto \sqrt{1 \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right) \]
          12. Recombined 2 regimes into one program.
          13. Add Preprocessing

          Alternative 15: 81.7% accurate, 2.6× speedup?

          \[\sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right) \]
          (FPCore (cosTheta_i u1 u2)
           :precision binary32
           (* (sqrt (- (log1p (- u1)))) (* 6.2831854820251465 u2)))
          float code(float cosTheta_i, float u1, float u2) {
          	return sqrtf(-log1pf(-u1)) * (6.2831854820251465f * u2);
          }
          
          function code(cosTheta_i, u1, u2)
          	return Float32(sqrt(Float32(-log1p(Float32(-u1)))) * Float32(Float32(6.2831854820251465) * u2))
          end
          
          \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot u2\right)
          
          Derivation
          1. Initial program 58.2%

            \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          2. Step-by-step derivation
            1. lift-log.f32N/A

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

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. sub-flipN/A

              \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. lower-log1p.f32N/A

              \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. lower-neg.f3298.3

              \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          3. Applied rewrites98.3%

            \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
          4. Evaluated real constant98.3%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
          5. Taylor expanded in u2 around 0

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(\frac{13176795}{2097152} \cdot u2\right)} \]
          6. Step-by-step derivation
            1. lower-*.f3281.7

              \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \left(6.2831854820251465 \cdot \color{blue}{u2}\right) \]
          7. Applied rewrites81.7%

            \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \color{blue}{\left(6.2831854820251465 \cdot u2\right)} \]
          8. Add Preprocessing

          Alternative 16: 80.9% accurate, 2.3× speedup?

          \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.0034000000450760126:\\ \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot 2\right) \cdot u2\right)\\ \mathbf{else}:\\ \;\;\;\;6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right)\\ \end{array} \]
          (FPCore (cosTheta_i u1 u2)
           :precision binary32
           (if (<= u1 0.0034000000450760126)
             (* (sqrt (* (fma 0.5 u1 1.0) u1)) (* (* PI 2.0) u2))
             (* 6.2831854820251465 (* u2 (sqrt (- (log (- 1.0 u1))))))))
          float code(float cosTheta_i, float u1, float u2) {
          	float tmp;
          	if (u1 <= 0.0034000000450760126f) {
          		tmp = sqrtf((fmaf(0.5f, u1, 1.0f) * u1)) * ((((float) M_PI) * 2.0f) * u2);
          	} else {
          		tmp = 6.2831854820251465f * (u2 * sqrtf(-logf((1.0f - u1))));
          	}
          	return tmp;
          }
          
          function code(cosTheta_i, u1, u2)
          	tmp = Float32(0.0)
          	if (u1 <= Float32(0.0034000000450760126))
          		tmp = Float32(sqrt(Float32(fma(Float32(0.5), u1, Float32(1.0)) * u1)) * Float32(Float32(Float32(pi) * Float32(2.0)) * u2));
          	else
          		tmp = Float32(Float32(6.2831854820251465) * Float32(u2 * sqrt(Float32(-log(Float32(Float32(1.0) - u1))))));
          	end
          	return tmp
          end
          
          \begin{array}{l}
          \mathbf{if}\;u1 \leq 0.0034000000450760126:\\
          \;\;\;\;\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot 2\right) \cdot u2\right)\\
          
          \mathbf{else}:\\
          \;\;\;\;6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right)\\
          
          
          \end{array}
          
          Derivation
          1. Split input into 2 regimes
          2. if u1 < 0.00340000005

            1. Initial program 58.2%

              \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            2. Taylor expanded in u1 around 0

              \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            3. Step-by-step derivation
              1. lower-*.f32N/A

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

                \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              3. lower-*.f3287.8

                \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot \color{blue}{u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            4. Applied rewrites87.8%

              \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(1 + 0.5 \cdot u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
            5. Taylor expanded in u2 around 0

              \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
            6. Step-by-step derivation
              1. lower-*.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \color{blue}{\left(\frac{-4}{3} \cdot \left({u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}\right) + 2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
              2. lower-fma.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, \color{blue}{{u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
              3. lower-*.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot \color{blue}{{\mathsf{PI}\left(\right)}^{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
              4. lower-pow.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\color{blue}{\mathsf{PI}\left(\right)}}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
              5. lower-pow.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\mathsf{PI}\left(\right)}^{\color{blue}{3}}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
              6. lower-PI.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
              7. lower-*.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \frac{1}{2} \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \mathsf{PI}\left(\right)\right)\right) \]
              8. lower-PI.f3280.4

                \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
            7. Applied rewrites80.4%

              \[\leadsto \sqrt{u1 \cdot \left(1 + 0.5 \cdot u1\right)} \cdot \color{blue}{\left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)} \]
            8. Step-by-step derivation
              1. lift-*.f32N/A

                \[\leadsto \sqrt{u1 \cdot \color{blue}{\left(1 + \frac{1}{2} \cdot u1\right)}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
              2. lift-+.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(1 + \color{blue}{\frac{1}{2} \cdot u1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
              3. +-commutativeN/A

                \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + \color{blue}{1}\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
              4. lift-*.f32N/A

                \[\leadsto \sqrt{u1 \cdot \left(\frac{1}{2} \cdot u1 + 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
              5. lift-fma.f32N/A

                \[\leadsto \sqrt{u1 \cdot \mathsf{fma}\left(\frac{1}{2}, \color{blue}{u1}, 1\right)} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
              6. *-commutativeN/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
              7. lift-*.f3280.4

                \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot \color{blue}{u1}} \cdot \left(u2 \cdot \mathsf{fma}\left(-1.3333333333333333, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right) \]
              8. lift-*.f32N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lift-*.f32, \left(u2 \cdot \mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right)\right)\right) \]
              9. lift-*.f32N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(*-commutative, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
              10. lift-*.f32N/A

                \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot \color{blue}{u1}} \cdot \mathsf{Rewrite=>}\left(lower-*.f32, \left(\mathsf{fma}\left(\frac{-4}{3}, {u2}^{2} \cdot {\pi}^{3}, 2 \cdot \pi\right) \cdot u2\right)\right) \]
            9. Applied rewrites80.4%

              \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot \mathsf{fma}\left(\left(\left(u2 \cdot u2\right) \cdot -1.3333333333333333\right) \cdot \pi, \pi, 2\right)\right) \cdot u2\right)} \]
            10. Taylor expanded in u2 around 0

              \[\leadsto \sqrt{\mathsf{fma}\left(\frac{1}{2}, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot 2\right) \cdot u2\right) \]
            11. Step-by-step derivation
              1. Applied rewrites74.3%

                \[\leadsto \sqrt{\mathsf{fma}\left(0.5, u1, 1\right) \cdot u1} \cdot \left(\left(\pi \cdot 2\right) \cdot u2\right) \]

              if 0.00340000005 < u1

              1. Initial program 58.2%

                \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              2. Step-by-step derivation
                1. lift-log.f32N/A

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

                  \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                3. sub-flipN/A

                  \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                4. lower-log1p.f32N/A

                  \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                5. lower-neg.f3298.3

                  \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              3. Applied rewrites98.3%

                \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              4. Evaluated real constant98.3%

                \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
              5. Taylor expanded in u2 around 0

                \[\leadsto \color{blue}{\frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)} \]
              6. Step-by-step derivation
                1. lower-*.f32N/A

                  \[\leadsto \frac{13176795}{2097152} \cdot \color{blue}{\left(u2 \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)} \]
                2. lower-*.f32N/A

                  \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \color{blue}{\sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}}\right) \]
                3. lower-sqrt.f32N/A

                  \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right) \]
                4. lower-neg.f32N/A

                  \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right) \]
                5. lower-log.f32N/A

                  \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right) \]
                6. lower--.f3251.4

                  \[\leadsto 6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right) \]
              7. Applied rewrites51.4%

                \[\leadsto \color{blue}{6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right)} \]
            12. Recombined 2 regimes into one program.
            13. Add Preprocessing

            Alternative 17: 77.3% accurate, 2.4× speedup?

            \[\begin{array}{l} \mathbf{if}\;u1 \leq 0.00012060000153724104:\\ \;\;\;\;\sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\ \mathbf{else}:\\ \;\;\;\;6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right)\\ \end{array} \]
            (FPCore (cosTheta_i u1 u2)
             :precision binary32
             (if (<= u1 0.00012060000153724104)
               (* (sqrt u1) (* 2.0 (* u2 PI)))
               (* 6.2831854820251465 (* u2 (sqrt (- (log (- 1.0 u1))))))))
            float code(float cosTheta_i, float u1, float u2) {
            	float tmp;
            	if (u1 <= 0.00012060000153724104f) {
            		tmp = sqrtf(u1) * (2.0f * (u2 * ((float) M_PI)));
            	} else {
            		tmp = 6.2831854820251465f * (u2 * sqrtf(-logf((1.0f - u1))));
            	}
            	return tmp;
            }
            
            function code(cosTheta_i, u1, u2)
            	tmp = Float32(0.0)
            	if (u1 <= Float32(0.00012060000153724104))
            		tmp = Float32(sqrt(u1) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))));
            	else
            		tmp = Float32(Float32(6.2831854820251465) * Float32(u2 * sqrt(Float32(-log(Float32(Float32(1.0) - u1))))));
            	end
            	return tmp
            end
            
            function tmp_2 = code(cosTheta_i, u1, u2)
            	tmp = single(0.0);
            	if (u1 <= single(0.00012060000153724104))
            		tmp = sqrt(u1) * (single(2.0) * (u2 * single(pi)));
            	else
            		tmp = single(6.2831854820251465) * (u2 * sqrt(-log((single(1.0) - u1))));
            	end
            	tmp_2 = tmp;
            end
            
            \begin{array}{l}
            \mathbf{if}\;u1 \leq 0.00012060000153724104:\\
            \;\;\;\;\sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)\\
            
            \mathbf{else}:\\
            \;\;\;\;6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right)\\
            
            
            \end{array}
            
            Derivation
            1. Split input into 2 regimes
            2. if u1 < 1.20600002e-4

              1. Initial program 58.2%

                \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              2. Taylor expanded in u1 around 0

                \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              3. Step-by-step derivation
                1. Applied rewrites76.3%

                  \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                2. Taylor expanded in u2 around 0

                  \[\leadsto \sqrt{u1} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                3. Step-by-step derivation
                  1. lower-*.f32N/A

                    \[\leadsto \sqrt{u1} \cdot \left(2 \cdot \color{blue}{\left(u2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
                  2. lower-*.f32N/A

                    \[\leadsto \sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
                  3. lower-PI.f3266.3

                    \[\leadsto \sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
                4. Applied rewrites66.3%

                  \[\leadsto \sqrt{u1} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \pi\right)\right)} \]

                if 1.20600002e-4 < u1

                1. Initial program 58.2%

                  \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                2. Step-by-step derivation
                  1. lift-log.f32N/A

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

                    \[\leadsto \sqrt{-\log \color{blue}{\left(1 - u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                  3. sub-flipN/A

                    \[\leadsto \sqrt{-\log \color{blue}{\left(1 + \left(\mathsf{neg}\left(u1\right)\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                  4. lower-log1p.f32N/A

                    \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(\mathsf{neg}\left(u1\right)\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                  5. lower-neg.f3298.3

                    \[\leadsto \sqrt{-\mathsf{log1p}\left(\color{blue}{-u1}\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                3. Applied rewrites98.3%

                  \[\leadsto \sqrt{-\color{blue}{\mathsf{log1p}\left(-u1\right)}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                4. Evaluated real constant98.3%

                  \[\leadsto \sqrt{-\mathsf{log1p}\left(-u1\right)} \cdot \sin \left(\color{blue}{\frac{13176795}{2097152}} \cdot u2\right) \]
                5. Taylor expanded in u2 around 0

                  \[\leadsto \color{blue}{\frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)} \]
                6. Step-by-step derivation
                  1. lower-*.f32N/A

                    \[\leadsto \frac{13176795}{2097152} \cdot \color{blue}{\left(u2 \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)} \]
                  2. lower-*.f32N/A

                    \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \color{blue}{\sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}}\right) \]
                  3. lower-sqrt.f32N/A

                    \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right) \]
                  4. lower-neg.f32N/A

                    \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right) \]
                  5. lower-log.f32N/A

                    \[\leadsto \frac{13176795}{2097152} \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right) \]
                  6. lower--.f3251.4

                    \[\leadsto 6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right) \]
                7. Applied rewrites51.4%

                  \[\leadsto \color{blue}{6.2831854820251465 \cdot \left(u2 \cdot \sqrt{-\log \left(1 - u1\right)}\right)} \]
              4. Recombined 2 regimes into one program.
              5. Add Preprocessing

              Alternative 18: 66.3% accurate, 4.5× speedup?

              \[\sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
              (FPCore (cosTheta_i u1 u2) :precision binary32 (* (sqrt u1) (* 2.0 (* u2 PI))))
              float code(float cosTheta_i, float u1, float u2) {
              	return sqrtf(u1) * (2.0f * (u2 * ((float) M_PI)));
              }
              
              function code(cosTheta_i, u1, u2)
              	return Float32(sqrt(u1) * Float32(Float32(2.0) * Float32(u2 * Float32(pi))))
              end
              
              function tmp = code(cosTheta_i, u1, u2)
              	tmp = sqrt(u1) * (single(2.0) * (u2 * single(pi)));
              end
              
              \sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right)
              
              Derivation
              1. Initial program 58.2%

                \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              2. Taylor expanded in u1 around 0

                \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
              3. Step-by-step derivation
                1. Applied rewrites76.3%

                  \[\leadsto \sqrt{\color{blue}{u1}} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                2. Taylor expanded in u2 around 0

                  \[\leadsto \sqrt{u1} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
                3. Step-by-step derivation
                  1. lower-*.f32N/A

                    \[\leadsto \sqrt{u1} \cdot \left(2 \cdot \color{blue}{\left(u2 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
                  2. lower-*.f32N/A

                    \[\leadsto \sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \color{blue}{\mathsf{PI}\left(\right)}\right)\right) \]
                  3. lower-PI.f3266.3

                    \[\leadsto \sqrt{u1} \cdot \left(2 \cdot \left(u2 \cdot \pi\right)\right) \]
                4. Applied rewrites66.3%

                  \[\leadsto \sqrt{u1} \cdot \color{blue}{\left(2 \cdot \left(u2 \cdot \pi\right)\right)} \]
                5. Add Preprocessing

                Alternative 19: 66.3% accurate, 4.7× speedup?

                \[\left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
                (FPCore (cosTheta_i u1 u2) :precision binary32 (* (+ u2 u2) (* (sqrt u1) PI)))
                float code(float cosTheta_i, float u1, float u2) {
                	return (u2 + u2) * (sqrtf(u1) * ((float) M_PI));
                }
                
                function code(cosTheta_i, u1, u2)
                	return Float32(Float32(u2 + u2) * Float32(sqrt(u1) * Float32(pi)))
                end
                
                function tmp = code(cosTheta_i, u1, u2)
                	tmp = (u2 + u2) * (sqrt(u1) * single(pi));
                end
                
                \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right)
                
                Derivation
                1. Initial program 58.2%

                  \[\sqrt{-\log \left(1 - u1\right)} \cdot \sin \left(\left(2 \cdot \pi\right) \cdot u2\right) \]
                2. Taylor expanded in u2 around 0

                  \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
                3. Step-by-step derivation
                  1. lower-*.f32N/A

                    \[\leadsto 2 \cdot \color{blue}{\left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right)} \]
                  2. lower-*.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)}\right) \]
                  3. lower-*.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}}\right)\right) \]
                  4. lower-PI.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\color{blue}{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}}\right)\right) \]
                  5. lower-sqrt.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{\mathsf{neg}\left(\log \left(1 - u1\right)\right)}\right)\right) \]
                  6. lower-neg.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
                  7. lower-log.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
                  8. lower--.f3251.4

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right) \]
                4. Applied rewrites51.4%

                  \[\leadsto \color{blue}{2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{-\log \left(1 - u1\right)}\right)\right)} \]
                5. Taylor expanded in u1 around 0

                  \[\leadsto 2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \color{blue}{\sqrt{u1}}\right)\right) \]
                6. Step-by-step derivation
                  1. lower-*.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\mathsf{PI}\left(\right) \cdot \sqrt{u1}\right)\right) \]
                  2. lower-PI.f32N/A

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
                  3. lower-sqrt.f3266.3

                    \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right) \]
                7. Applied rewrites66.3%

                  \[\leadsto 2 \cdot \left(u2 \cdot \left(\pi \cdot \color{blue}{\sqrt{u1}}\right)\right) \]
                8. Step-by-step derivation
                  1. lift-*.f32N/A

                    \[\leadsto 2 \cdot \color{blue}{\left(u2 \cdot \left(\pi \cdot \sqrt{u1}\right)\right)} \]
                  2. lift-*.f32N/A

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

                    \[\leadsto \left(2 \cdot u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
                  4. lower-*.f32N/A

                    \[\leadsto \left(2 \cdot u2\right) \cdot \color{blue}{\left(\pi \cdot \sqrt{u1}\right)} \]
                  5. count-2-revN/A

                    \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
                  6. lower-+.f3266.3

                    \[\leadsto \left(u2 + u2\right) \cdot \left(\color{blue}{\pi} \cdot \sqrt{u1}\right) \]
                  7. lift-*.f32N/A

                    \[\leadsto \left(u2 + u2\right) \cdot \left(\pi \cdot \sqrt{u1}\right) \]
                  8. *-commutativeN/A

                    \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
                  9. lower-*.f3266.3

                    \[\leadsto \left(u2 + u2\right) \cdot \left(\sqrt{u1} \cdot \pi\right) \]
                9. Applied rewrites66.3%

                  \[\leadsto \left(u2 + u2\right) \cdot \color{blue}{\left(\sqrt{u1} \cdot \pi\right)} \]
                10. Add Preprocessing

                Reproduce

                ?
                herbie shell --seed 2025178 
                (FPCore (cosTheta_i u1 u2)
                  :name "Beckmann Sample, near normal, slope_y"
                  :precision binary32
                  :pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
                  (* (sqrt (- (log (- 1.0 u1)))) (sin (* (* 2.0 PI) u2))))