Trowbridge-Reitz Sample, near normal, slope_x

Percentage Accurate: 99.0% → 98.9%

Time: 13.8s

Alternatives: 19

Speedup: 1.0×

Specification

\[\left(\left(cosTheta\_i > 0.9999 \land cosTheta\_i \leq 1\right) \land \left(2.328306437 \cdot 10^{-10} \leq u1 \land u1 \leq 1\right)\right) \land \left(2.328306437 \cdot 10^{-10} \leq u2 \land u2 \leq 1\right)\]

Math

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

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * cosf((6.28318530718f * u2));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * cos((6.28318530718e0 * u2))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * cos(Float32(Float32(6.28318530718) * u2)))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * cos((single(6.28318530718) * u2));
end

Initial Program: 99.0% accurate, 1.0× speedup

Math

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

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * cosf((6.28318530718f * u2));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * cos((6.28318530718e0 * u2))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * cos(Float32(Float32(6.28318530718) * u2)))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * cos((single(6.28318530718) * u2));
end

Alternative 1: 98.9% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ {\left(\frac{1 + u1 \cdot \left(u1 + -2\right)}{u1 \cdot u1}\right)}^{-0.25} \cdot \cos \left(6.28318530718 \cdot u2\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (pow (/ (+ 1.0 (* u1 (+ u1 -2.0))) (* u1 u1)) -0.25)
  (cos (* 6.28318530718 u2))))

C

float code(float cosTheta_i, float u1, float u2) {
	return powf(((1.0f + (u1 * (u1 + -2.0f))) / (u1 * u1)), -0.25f) * cosf((6.28318530718f * u2));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = (((1.0e0 + (u1 * (u1 + (-2.0e0)))) / (u1 * u1)) ** (-0.25e0)) * cos((6.28318530718e0 * u2))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32((Float32(Float32(Float32(1.0) + Float32(u1 * Float32(u1 + Float32(-2.0)))) / Float32(u1 * u1)) ^ Float32(-0.25)) * cos(Float32(Float32(6.28318530718) * u2)))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = (((single(1.0) + (u1 * (u1 + single(-2.0)))) / (u1 * u1)) ^ single(-0.25)) * cos((single(6.28318530718) * u2));
end

Derivation

1. Initial program 98.9%

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

   1. pow1/2 N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{u1}{1 - u1}\right)}^{\frac{1}{2}}\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   2. sqr-pow N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{u1}{1 - u1}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\frac{u1}{1 - u1}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   3. clear-num N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1}{\frac{1 - u1}{u1}}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\frac{u1}{1 - u1}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   4. inv-pow N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left({\left(\frac{1 - u1}{u1}\right)}^{-1}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot {\left(\frac{u1}{1 - u1}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   5. pow-pow N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1 - u1}{u1}\right)}^{\left(-1 \cdot \frac{\frac{1}{2}}{2}\right)} \cdot {\left(\frac{u1}{1 - u1}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   6. clear-num N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1 - u1}{u1}\right)}^{\left(-1 \cdot \frac{\frac{1}{2}}{2}\right)} \cdot {\left(\frac{1}{\frac{1 - u1}{u1}}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. inv-pow N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1 - u1}{u1}\right)}^{\left(-1 \cdot \frac{\frac{1}{2}}{2}\right)} \cdot {\left({\left(\frac{1 - u1}{u1}\right)}^{-1}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. pow-pow N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1 - u1}{u1}\right)}^{\left(-1 \cdot \frac{\frac{1}{2}}{2}\right)} \cdot {\left(\frac{1 - u1}{u1}\right)}^{\left(-1 \cdot \frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   9. pow-prod-down N/A

      \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1 - u1}{u1} \cdot \frac{1 - u1}{u1}\right)}^{\left(-1 \cdot \frac{\frac{1}{2}}{2}\right)}\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   10. pow-lowering-pow.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\left(\frac{1 - u1}{u1} \cdot \frac{1 - u1}{u1}\right), \left(-1 \cdot \frac{\frac{1}{2}}{2}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

4. Applied egg-rr 98.8%

   \[\leadsto \color{blue}{{\left(\left(\frac{1}{u1} + -1\right) \cdot \left(\frac{1}{u1} + -1\right)\right)}^{-0.25}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]

5. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\color{blue}{\left(\frac{1 + u1 \cdot \left(u1 - 2\right)}{{u1}^{2}}\right)}, \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
6. Step-by-step derivation

   1. /-lowering-/.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\left(1 + u1 \cdot \left(u1 - 2\right)\right), \left({u1}^{2}\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   2. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{+.f32}\left(1, \left(u1 \cdot \left(u1 - 2\right)\right)\right), \left({u1}^{2}\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   3. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u1, \left(u1 - 2\right)\right)\right), \left({u1}^{2}\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   4. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u1, \left(u1 + \left(\mathsf{neg}\left(2\right)\right)\right)\right)\right), \left({u1}^{2}\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   5. metadata-eval N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u1, \left(u1 + -2\right)\right)\right), \left({u1}^{2}\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   6. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, -2\right)\right)\right), \left({u1}^{2}\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, -2\right)\right)\right), \left(u1 \cdot u1\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. *-lowering-*.f32 98.9%

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, -2\right)\right)\right), \mathsf{*.f32}\left(u1, u1\right)\right), \frac{-1}{4}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

7. Simplified 98.9%

   \[\leadsto {\color{blue}{\left(\frac{1 + u1 \cdot \left(u1 + -2\right)}{u1 \cdot u1}\right)}}^{-0.25} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
8. Add Preprocessing

Alternative 2: 97.7% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1 + u1 \cdot u1}\\ \end{array} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (* 6.28318530718 u2) 0.7549999952316284)
   (*
    (sqrt (/ u1 (- 1.0 u1)))
    (+
     1.0
     (*
      (* u2 u2)
      (+
       -19.739208802181317
       (* (* u2 u2) (+ 64.93939402268539 (* (* u2 u2) -85.45681720672748)))))))
   (* (cos (* 6.28318530718 u2)) (sqrt (+ u1 (* u1 u1))))))

C

float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if ((6.28318530718f * u2) <= 0.7549999952316284f) {
		tmp = sqrtf((u1 / (1.0f - u1))) * (1.0f + ((u2 * u2) * (-19.739208802181317f + ((u2 * u2) * (64.93939402268539f + ((u2 * u2) * -85.45681720672748f))))));
	} else {
		tmp = cosf((6.28318530718f * u2)) * sqrtf((u1 + (u1 * u1)));
	}
	return tmp;
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    real(4) :: tmp
    if ((6.28318530718e0 * u2) <= 0.7549999952316284e0) then
        tmp = sqrt((u1 / (1.0e0 - u1))) * (1.0e0 + ((u2 * u2) * ((-19.739208802181317e0) + ((u2 * u2) * (64.93939402268539e0 + ((u2 * u2) * (-85.45681720672748e0)))))))
    else
        tmp = cos((6.28318530718e0 * u2)) * sqrt((u1 + (u1 * u1)))
    end if
    code = tmp
end function

Julia

function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.7549999952316284))
		tmp = Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * Float32(Float32(1.0) + Float32(Float32(u2 * u2) * Float32(Float32(-19.739208802181317) + Float32(Float32(u2 * u2) * Float32(Float32(64.93939402268539) + Float32(Float32(u2 * u2) * Float32(-85.45681720672748))))))));
	else
		tmp = Float32(cos(Float32(Float32(6.28318530718) * u2)) * sqrt(Float32(u1 + Float32(u1 * u1))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(cosTheta_i, u1, u2)
	tmp = single(0.0);
	if ((single(6.28318530718) * u2) <= single(0.7549999952316284))
		tmp = sqrt((u1 / (single(1.0) - u1))) * (single(1.0) + ((u2 * u2) * (single(-19.739208802181317) + ((u2 * u2) * (single(64.93939402268539) + ((u2 * u2) * single(-85.45681720672748)))))));
	else
		tmp = cos((single(6.28318530718) * u2)) * sqrt((u1 + (u1 * u1)));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.754999995

   1. Initial program 99.3%

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

   3. Taylor expanded in u2 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
   4. Step-by-step derivation

      1. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

      2. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      4. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

      6. metadata-eval N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      7. +-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

      8. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)}\right)\right)\right)\right) \]

      9. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right) \]

      10. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      11. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      12. +-lowering-+.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \color{blue}{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right)\right) \]

      13. *-commutative N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      14. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      15. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

      16. *-lowering-*.f32 99.1%

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

   5. Simplified 99.1%

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

   if 0.754999995 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

   1. Initial program 95.4%

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

   3. Taylor expanded in u1 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

      2. +-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

      3. +-lowering-+.f32 87.0%

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   5. Simplified 87.0%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(u1 + 1\right)}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
   6. Step-by-step derivation

      1. distribute-rgt-in N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\left(u1 \cdot u1 + 1 \cdot u1\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

      2. *-lft-identity N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\left(u1 \cdot u1 + u1\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

      3. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{+.f32}\left(\left(u1 \cdot u1\right), u1\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

      4. *-lowering-*.f32 87.1%

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(u1, u1\right), u1\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. Applied egg-rr 87.1%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot u1 + u1}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
3. Recombined 2 regimes into one program.

4. Final simplification 97.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1 + u1 \cdot u1}\\ \end{array} \]
5. Add Preprocessing

Alternative 3: 97.7% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1 \cdot \left(1 + u1\right)}\\ \end{array} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (* 6.28318530718 u2) 0.7549999952316284)
   (*
    (sqrt (/ u1 (- 1.0 u1)))
    (+
     1.0
     (*
      (* u2 u2)
      (+
       -19.739208802181317
       (* (* u2 u2) (+ 64.93939402268539 (* (* u2 u2) -85.45681720672748)))))))
   (* (cos (* 6.28318530718 u2)) (sqrt (* u1 (+ 1.0 u1))))))

C

float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if ((6.28318530718f * u2) <= 0.7549999952316284f) {
		tmp = sqrtf((u1 / (1.0f - u1))) * (1.0f + ((u2 * u2) * (-19.739208802181317f + ((u2 * u2) * (64.93939402268539f + ((u2 * u2) * -85.45681720672748f))))));
	} else {
		tmp = cosf((6.28318530718f * u2)) * sqrtf((u1 * (1.0f + u1)));
	}
	return tmp;
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    real(4) :: tmp
    if ((6.28318530718e0 * u2) <= 0.7549999952316284e0) then
        tmp = sqrt((u1 / (1.0e0 - u1))) * (1.0e0 + ((u2 * u2) * ((-19.739208802181317e0) + ((u2 * u2) * (64.93939402268539e0 + ((u2 * u2) * (-85.45681720672748e0)))))))
    else
        tmp = cos((6.28318530718e0 * u2)) * sqrt((u1 * (1.0e0 + u1)))
    end if
    code = tmp
end function

Julia

function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.7549999952316284))
		tmp = Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * Float32(Float32(1.0) + Float32(Float32(u2 * u2) * Float32(Float32(-19.739208802181317) + Float32(Float32(u2 * u2) * Float32(Float32(64.93939402268539) + Float32(Float32(u2 * u2) * Float32(-85.45681720672748))))))));
	else
		tmp = Float32(cos(Float32(Float32(6.28318530718) * u2)) * sqrt(Float32(u1 * Float32(Float32(1.0) + u1))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(cosTheta_i, u1, u2)
	tmp = single(0.0);
	if ((single(6.28318530718) * u2) <= single(0.7549999952316284))
		tmp = sqrt((u1 / (single(1.0) - u1))) * (single(1.0) + ((u2 * u2) * (single(-19.739208802181317) + ((u2 * u2) * (single(64.93939402268539) + ((u2 * u2) * single(-85.45681720672748)))))));
	else
		tmp = cos((single(6.28318530718) * u2)) * sqrt((u1 * (single(1.0) + u1)));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.754999995

   1. Initial program 99.3%

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

   3. Taylor expanded in u2 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
   4. Step-by-step derivation

      1. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

      2. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      4. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

      6. metadata-eval N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      7. +-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

      8. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)}\right)\right)\right)\right) \]

      9. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right) \]

      10. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      11. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      12. +-lowering-+.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \color{blue}{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right)\right) \]

      13. *-commutative N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      14. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      15. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

      16. *-lowering-*.f32 99.1%

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

   5. Simplified 99.1%

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

   if 0.754999995 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

   1. Initial program 95.4%

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

   3. Taylor expanded in u1 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

      2. +-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

      3. +-lowering-+.f32 87.0%

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   5. Simplified 87.0%

      \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(u1 + 1\right)}} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
3. Recombined 2 regimes into one program.

4. Final simplification 97.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1 \cdot \left(1 + u1\right)}\\ \end{array} \]
5. Add Preprocessing

Alternative 4: 96.6% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot {\left(\frac{1}{u1}\right)}^{-0.5}\\ \end{array} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (* 6.28318530718 u2) 0.7549999952316284)
   (*
    (sqrt (/ u1 (- 1.0 u1)))
    (+
     1.0
     (*
      (* u2 u2)
      (+
       -19.739208802181317
       (* (* u2 u2) (+ 64.93939402268539 (* (* u2 u2) -85.45681720672748)))))))
   (* (cos (* 6.28318530718 u2)) (pow (/ 1.0 u1) -0.5))))

C

float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if ((6.28318530718f * u2) <= 0.7549999952316284f) {
		tmp = sqrtf((u1 / (1.0f - u1))) * (1.0f + ((u2 * u2) * (-19.739208802181317f + ((u2 * u2) * (64.93939402268539f + ((u2 * u2) * -85.45681720672748f))))));
	} else {
		tmp = cosf((6.28318530718f * u2)) * powf((1.0f / u1), -0.5f);
	}
	return tmp;
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    real(4) :: tmp
    if ((6.28318530718e0 * u2) <= 0.7549999952316284e0) then
        tmp = sqrt((u1 / (1.0e0 - u1))) * (1.0e0 + ((u2 * u2) * ((-19.739208802181317e0) + ((u2 * u2) * (64.93939402268539e0 + ((u2 * u2) * (-85.45681720672748e0)))))))
    else
        tmp = cos((6.28318530718e0 * u2)) * ((1.0e0 / u1) ** (-0.5e0))
    end if
    code = tmp
end function

Julia

function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.7549999952316284))
		tmp = Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * Float32(Float32(1.0) + Float32(Float32(u2 * u2) * Float32(Float32(-19.739208802181317) + Float32(Float32(u2 * u2) * Float32(Float32(64.93939402268539) + Float32(Float32(u2 * u2) * Float32(-85.45681720672748))))))));
	else
		tmp = Float32(cos(Float32(Float32(6.28318530718) * u2)) * (Float32(Float32(1.0) / u1) ^ Float32(-0.5)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(cosTheta_i, u1, u2)
	tmp = single(0.0);
	if ((single(6.28318530718) * u2) <= single(0.7549999952316284))
		tmp = sqrt((u1 / (single(1.0) - u1))) * (single(1.0) + ((u2 * u2) * (single(-19.739208802181317) + ((u2 * u2) * (single(64.93939402268539) + ((u2 * u2) * single(-85.45681720672748)))))));
	else
		tmp = cos((single(6.28318530718) * u2)) * ((single(1.0) / u1) ^ single(-0.5));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.754999995

   1. Initial program 99.3%

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

   3. Taylor expanded in u2 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
   4. Step-by-step derivation

      1. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

      2. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      4. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

      6. metadata-eval N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      7. +-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

      8. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)}\right)\right)\right)\right) \]

      9. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right) \]

      10. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      11. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      12. +-lowering-+.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \color{blue}{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right)\right) \]

      13. *-commutative N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      14. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      15. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

      16. *-lowering-*.f32 99.1%

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

   5. Simplified 99.1%

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

   if 0.754999995 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

   1. Initial program 95.4%

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

      1. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\left(\sqrt{\frac{u1}{1 - u1}}\right), \color{blue}{\cos \left(\frac{314159265359}{50000000000} \cdot u2\right)}\right) \]

      2. pow1/2 N/A

         \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{u1}{1 - u1}\right)}^{\frac{1}{2}}\right), \cos \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)}\right) \]

      3. clear-num N/A

         \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1}{\frac{1 - u1}{u1}}\right)}^{\frac{1}{2}}\right), \cos \left(\color{blue}{\frac{314159265359}{50000000000}} \cdot u2\right)\right) \]

      4. inv-pow N/A

         \[\leadsto \mathsf{*.f32}\left(\left({\left({\left(\frac{1 - u1}{u1}\right)}^{-1}\right)}^{\frac{1}{2}}\right), \cos \left(\color{blue}{\frac{314159265359}{50000000000}} \cdot u2\right)\right) \]

      5. pow-pow N/A

         \[\leadsto \mathsf{*.f32}\left(\left({\left(\frac{1 - u1}{u1}\right)}^{\left(-1 \cdot \frac{1}{2}\right)}\right), \cos \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)}\right) \]

      6. pow-lowering-pow.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\left(\frac{1 - u1}{u1}\right), \left(-1 \cdot \frac{1}{2}\right)\right), \cos \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)}\right) \]

      7. div-sub N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\left(\frac{1}{u1} - \frac{u1}{u1}\right), \left(-1 \cdot \frac{1}{2}\right)\right), \cos \left(\color{blue}{\frac{314159265359}{50000000000}} \cdot u2\right)\right) \]

      8. sub-neg N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\left(\frac{1}{u1} + \left(\mathsf{neg}\left(\frac{u1}{u1}\right)\right)\right), \left(-1 \cdot \frac{1}{2}\right)\right), \cos \left(\color{blue}{\frac{314159265359}{50000000000}} \cdot u2\right)\right) \]

      9. *-inverses N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\left(\frac{1}{u1} + \left(\mathsf{neg}\left(1\right)\right)\right), \left(-1 \cdot \frac{1}{2}\right)\right), \cos \left(\frac{314159265359}{50000000000} \cdot u2\right)\right) \]

      10. metadata-eval N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\left(\frac{1}{u1} + -1\right), \left(-1 \cdot \frac{1}{2}\right)\right), \cos \left(\frac{314159265359}{50000000000} \cdot u2\right)\right) \]

      11. +-lowering-+.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{+.f32}\left(\left(\frac{1}{u1}\right), -1\right), \left(-1 \cdot \frac{1}{2}\right)\right), \cos \left(\color{blue}{\frac{314159265359}{50000000000}} \cdot u2\right)\right) \]

      12. /-lowering-/.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{+.f32}\left(\mathsf{/.f32}\left(1, u1\right), -1\right), \left(-1 \cdot \frac{1}{2}\right)\right), \cos \left(\frac{314159265359}{50000000000} \cdot u2\right)\right) \]

      13. metadata-eval N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{+.f32}\left(\mathsf{/.f32}\left(1, u1\right), -1\right), \frac{-1}{2}\right), \cos \left(\frac{314159265359}{50000000000} \cdot \color{blue}{u2}\right)\right) \]

      14. cos-lowering-cos.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{+.f32}\left(\mathsf{/.f32}\left(1, u1\right), -1\right), \frac{-1}{2}\right), \mathsf{cos.f32}\left(\left(\frac{314159265359}{50000000000} \cdot u2\right)\right)\right) \]

      15. *-lowering-*.f32 95.4%

          \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{+.f32}\left(\mathsf{/.f32}\left(1, u1\right), -1\right), \frac{-1}{2}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   4. Applied egg-rr 95.4%

      \[\leadsto \color{blue}{{\left(\frac{1}{u1} + -1\right)}^{-0.5} \cdot \cos \left(6.28318530718 \cdot u2\right)} \]

   5. Taylor expanded in u1 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\color{blue}{\left(\frac{1}{u1}\right)}, \frac{-1}{2}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
   6. Step-by-step derivation

      1. /-lowering-/.f32 75.8%

         \[\leadsto \mathsf{*.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(1, u1\right), \frac{-1}{2}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   7. Simplified 75.8%

      \[\leadsto {\color{blue}{\left(\frac{1}{u1}\right)}}^{-0.5} \cdot \cos \left(6.28318530718 \cdot u2\right) \]
3. Recombined 2 regimes into one program.

4. Final simplification 96.5%

   \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot {\left(\frac{1}{u1}\right)}^{-0.5}\\ \end{array} \]
5. Add Preprocessing

Alternative 5: 96.6% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\ \end{array} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (if (<= (* 6.28318530718 u2) 0.7549999952316284)
   (*
    (sqrt (/ u1 (- 1.0 u1)))
    (+
     1.0
     (*
      (* u2 u2)
      (+
       -19.739208802181317
       (* (* u2 u2) (+ 64.93939402268539 (* (* u2 u2) -85.45681720672748)))))))
   (* (cos (* 6.28318530718 u2)) (sqrt u1))))

C

float code(float cosTheta_i, float u1, float u2) {
	float tmp;
	if ((6.28318530718f * u2) <= 0.7549999952316284f) {
		tmp = sqrtf((u1 / (1.0f - u1))) * (1.0f + ((u2 * u2) * (-19.739208802181317f + ((u2 * u2) * (64.93939402268539f + ((u2 * u2) * -85.45681720672748f))))));
	} else {
		tmp = cosf((6.28318530718f * u2)) * sqrtf(u1);
	}
	return tmp;
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    real(4) :: tmp
    if ((6.28318530718e0 * u2) <= 0.7549999952316284e0) then
        tmp = sqrt((u1 / (1.0e0 - u1))) * (1.0e0 + ((u2 * u2) * ((-19.739208802181317e0) + ((u2 * u2) * (64.93939402268539e0 + ((u2 * u2) * (-85.45681720672748e0)))))))
    else
        tmp = cos((6.28318530718e0 * u2)) * sqrt(u1)
    end if
    code = tmp
end function

Julia

function code(cosTheta_i, u1, u2)
	tmp = Float32(0.0)
	if (Float32(Float32(6.28318530718) * u2) <= Float32(0.7549999952316284))
		tmp = Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * Float32(Float32(1.0) + Float32(Float32(u2 * u2) * Float32(Float32(-19.739208802181317) + Float32(Float32(u2 * u2) * Float32(Float32(64.93939402268539) + Float32(Float32(u2 * u2) * Float32(-85.45681720672748))))))));
	else
		tmp = Float32(cos(Float32(Float32(6.28318530718) * u2)) * sqrt(u1));
	end
	return tmp
end

MATLAB

function tmp_2 = code(cosTheta_i, u1, u2)
	tmp = single(0.0);
	if ((single(6.28318530718) * u2) <= single(0.7549999952316284))
		tmp = sqrt((u1 / (single(1.0) - u1))) * (single(1.0) + ((u2 * u2) * (single(-19.739208802181317) + ((u2 * u2) * (single(64.93939402268539) + ((u2 * u2) * single(-85.45681720672748)))))));
	else
		tmp = cos((single(6.28318530718) * u2)) * sqrt(u1);
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (*.f32 #s(literal 314159265359/50000000000 binary32) u2) < 0.754999995

   1. Initial program 99.3%

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

   3. Taylor expanded in u2 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
   4. Step-by-step derivation

      1. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

      2. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      4. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      5. sub-neg N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

      6. metadata-eval N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

      7. +-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

      8. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)}\right)\right)\right)\right) \]

      9. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right) \]

      10. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      11. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

      12. +-lowering-+.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \color{blue}{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right)\right) \]

      13. *-commutative N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      14. *-lowering-*.f32 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

      15. unpow2 N/A

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

      16. *-lowering-*.f32 99.1%

          \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

   5. Simplified 99.1%

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

   if 0.754999995 < (*.f32 #s(literal 314159265359/50000000000 binary32) u2)

   1. Initial program 95.4%

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

   3. Taylor expanded in u1 around 0

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

      1. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\left(\sqrt{u1}\right), \color{blue}{\cos \left(\frac{314159265359}{50000000000} \cdot u2\right)}\right) \]

      2. sqrt-lowering-sqrt.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(u1\right), \cos \color{blue}{\left(\frac{314159265359}{50000000000} \cdot u2\right)}\right) \]

      3. cos-lowering-cos.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(u1\right), \mathsf{cos.f32}\left(\left(\frac{314159265359}{50000000000} \cdot u2\right)\right)\right) \]

      4. *-lowering-*.f32 75.7%

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(u1\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   5. Simplified 75.7%

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

4. Final simplification 96.5%

   \[\leadsto \begin{array}{l} \mathbf{if}\;6.28318530718 \cdot u2 \leq 0.7549999952316284:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\cos \left(6.28318530718 \cdot u2\right) \cdot \sqrt{u1}\\ \end{array} \]
5. Add Preprocessing

Alternative 6: 99.0% accurate, 1.0× speedup

Math

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

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (cos (* 6.28318530718 u2)) (sqrt (/ u1 (- 1.0 u1)))))

C

float code(float cosTheta_i, float u1, float u2) {
	return cosf((6.28318530718f * u2)) * sqrtf((u1 / (1.0f - u1)));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = cos((6.28318530718e0 * u2)) * sqrt((u1 / (1.0e0 - u1)))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(cos(Float32(Float32(6.28318530718) * u2)) * sqrt(Float32(u1 / Float32(Float32(1.0) - u1))))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = cos((single(6.28318530718) * u2)) * sqrt((u1 / (single(1.0) - u1)));
end

Derivation

1. Initial program 98.9%

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

3. Final simplification 98.9%

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

Alternative 7: 93.4% accurate, 1.7× speedup

Math

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot \left(64.93939402268539 + \left(u2 \cdot u2\right) \cdot -85.45681720672748\right)\right)\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (/ u1 (- 1.0 u1)))
  (+
   1.0
   (*
    (* u2 u2)
    (+
     -19.739208802181317
     (* (* u2 u2) (+ 64.93939402268539 (* (* u2 u2) -85.45681720672748))))))))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * (1.0f + ((u2 * u2) * (-19.739208802181317f + ((u2 * u2) * (64.93939402268539f + ((u2 * u2) * -85.45681720672748f))))));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * (1.0e0 + ((u2 * u2) * ((-19.739208802181317e0) + ((u2 * u2) * (64.93939402268539e0 + ((u2 * u2) * (-85.45681720672748e0)))))))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * Float32(Float32(1.0) + Float32(Float32(u2 * u2) * Float32(Float32(-19.739208802181317) + Float32(Float32(u2 * u2) * Float32(Float32(64.93939402268539) + Float32(Float32(u2 * u2) * Float32(-85.45681720672748))))))))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * (single(1.0) + ((u2 * u2) * (single(-19.739208802181317) + ((u2 * u2) * (single(64.93939402268539) + ((u2 * u2) * single(-85.45681720672748)))))));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u2 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
4. Step-by-step derivation

   1. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

   3. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

   4. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

   6. metadata-eval N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right) + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

   7. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{{u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)}\right)\right)\right)\right) \]

   9. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right) \]

   10. unpow2 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

   11. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}} + \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)\right)\right)\right)\right)\right) \]

   12. +-lowering-+.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \color{blue}{\left(\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right)\right) \]

   13. *-commutative N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

   14. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right)\right) \]

   15. unpow2 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

   16. *-lowering-*.f32 92.5%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{-961389193575684075633145058384385882649239799132134631991269883031841}{11250000000000000000000000000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right)\right) \]

5. Simplified 92.5%

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

Alternative 8: 85.4% accurate, 1.7× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{u1}{1 - u1}\\ \mathbf{if}\;t\_0 \leq 0.00044999999227002263:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + u1\right)} \cdot \left(1 + u2 \cdot \left(u2 \cdot -19.739208802181317\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{t\_0}\\ \end{array} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (let* ((t_0 (/ u1 (- 1.0 u1))))
   (if (<= t_0 0.00044999999227002263)
     (* (sqrt (* u1 (+ 1.0 u1))) (+ 1.0 (* u2 (* u2 -19.739208802181317))))
     (sqrt t_0))))

C

float code(float cosTheta_i, float u1, float u2) {
	float t_0 = u1 / (1.0f - u1);
	float tmp;
	if (t_0 <= 0.00044999999227002263f) {
		tmp = sqrtf((u1 * (1.0f + u1))) * (1.0f + (u2 * (u2 * -19.739208802181317f)));
	} else {
		tmp = sqrtf(t_0);
	}
	return tmp;
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    real(4) :: t_0
    real(4) :: tmp
    t_0 = u1 / (1.0e0 - u1)
    if (t_0 <= 0.00044999999227002263e0) then
        tmp = sqrt((u1 * (1.0e0 + u1))) * (1.0e0 + (u2 * (u2 * (-19.739208802181317e0))))
    else
        tmp = sqrt(t_0)
    end if
    code = tmp
end function

Julia

function code(cosTheta_i, u1, u2)
	t_0 = Float32(u1 / Float32(Float32(1.0) - u1))
	tmp = Float32(0.0)
	if (t_0 <= Float32(0.00044999999227002263))
		tmp = Float32(sqrt(Float32(u1 * Float32(Float32(1.0) + u1))) * Float32(Float32(1.0) + Float32(u2 * Float32(u2 * Float32(-19.739208802181317)))));
	else
		tmp = sqrt(t_0);
	end
	return tmp
end

MATLAB

function tmp_2 = code(cosTheta_i, u1, u2)
	t_0 = u1 / (single(1.0) - u1);
	tmp = single(0.0);
	if (t_0 <= single(0.00044999999227002263))
		tmp = sqrt((u1 * (single(1.0) + u1))) * (single(1.0) + (u2 * (u2 * single(-19.739208802181317))));
	else
		tmp = sqrt(t_0);
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (/.f32 u1 (-.f32 #s(literal 1 binary32) u1)) < 4.49999992e-4

   1. Initial program 98.9%

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

   3. Taylor expanded in u1 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
   4. Step-by-step derivation

      1. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

      2. +-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

      3. +-lowering-+.f32 98.6%

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   5. Simplified 98.6%

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

   6. Taylor expanded in u2 around 0

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \color{blue}{\left(1 + \frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)}\right) \]
   7. Step-by-step derivation

      1. +-lowering-+.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)}\right)\right) \]

      2. *-commutative N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{+.f32}\left(1, \left({u2}^{2} \cdot \color{blue}{\frac{-98696044010906577398881}{5000000000000000000000}}\right)\right)\right) \]

      3. unpow2 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{+.f32}\left(1, \left(\left(u2 \cdot u2\right) \cdot \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right) \]

      4. associate-*l* N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{+.f32}\left(1, \left(u2 \cdot \color{blue}{\left(u2 \cdot \frac{-98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

      5. *-lowering-*.f32 N/A

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \color{blue}{\left(u2 \cdot \frac{-98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

      6. *-lowering-*.f32 87.9%

         \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \color{blue}{\frac{-98696044010906577398881}{5000000000000000000000}}\right)\right)\right)\right) \]

   8. Simplified 87.9%

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

   if 4.49999992e-4 < (/.f32 u1 (-.f32 #s(literal 1 binary32) u1))

   1. Initial program 99.0%

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

   3. Taylor expanded in u2 around 0

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

      1. *-rgt-identity N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 - u1}} \]

      2. sub-neg N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 + \left(\mathsf{neg}\left(u1\right)\right)}} \]

      3. rgt-mult-inverse N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

      4. mul-1-neg N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\mathsf{neg}\left(u1\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

      5. distribute-neg-frac2 N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(\mathsf{neg}\left(u1\right)\right)}} \]

      6. mul-1-neg N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + -1 \cdot u1}} \]

      7. *-rgt-identity N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1}} \]

      8. distribute-lft-in N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}} \]

      9. +-commutative N/A

         \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}} \]

      10. sub-neg N/A

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

      11. associate-*r* N/A

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

      12. sqrt-lowering-sqrt.f32 N/A

          \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

      13. *-rgt-identity N/A

          \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

      14. /-lowering-/.f32 N/A

          \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right)\right) \]

      15. associate-*r* N/A

          \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right) \]

      16. sub-neg N/A

          \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)\right)\right)\right) \]

      17. +-commutative N/A

          \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)\right)\right)\right) \]

      18. distribute-lft-in N/A

          \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1\right)\right)\right) \]

   5. Simplified 82.3%

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

4. Final simplification 85.9%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{u1}{1 - u1} \leq 0.00044999999227002263:\\ \;\;\;\;\sqrt{u1 \cdot \left(1 + u1\right)} \cdot \left(1 + u2 \cdot \left(u2 \cdot -19.739208802181317\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{u1}{1 - u1}}\\ \end{array} \]
5. Add Preprocessing

Alternative 9: 91.4% accurate, 1.8× speedup

Math

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + u2 \cdot \left(u2 \cdot 64.93939402268539\right)\right)\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (sqrt (/ u1 (- 1.0 u1)))
  (+
   1.0
   (* (* u2 u2) (+ -19.739208802181317 (* u2 (* u2 64.93939402268539)))))))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * (1.0f + ((u2 * u2) * (-19.739208802181317f + (u2 * (u2 * 64.93939402268539f)))));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * (1.0e0 + ((u2 * u2) * ((-19.739208802181317e0) + (u2 * (u2 * 64.93939402268539e0)))))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * Float32(Float32(1.0) + Float32(Float32(u2 * u2) * Float32(Float32(-19.739208802181317) + Float32(u2 * Float32(u2 * Float32(64.93939402268539)))))))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * (single(1.0) + ((u2 * u2) * (single(-19.739208802181317) + (u2 * (u2 * single(64.93939402268539))))));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u2 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
4. Step-by-step derivation

   1. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

   3. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

   4. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

   6. metadata-eval N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

   7. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}}\right)\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

   9. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot \left(u2 \cdot \color{blue}{u2}\right)\right)\right)\right)\right)\right) \]

   10. associate-*r* N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \left(\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot u2\right) \cdot \color{blue}{u2}\right)\right)\right)\right)\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \left(u2 \cdot \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot u2\right)}\right)\right)\right)\right)\right) \]

   12. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot u2\right)}\right)\right)\right)\right)\right) \]

   13. *-commutative N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, \left(u2 \cdot \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right) \]

   14. *-lowering-*.f32 90.9%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \mathsf{\_.f32}\left(1, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right) \]

5. Simplified 90.9%

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

Alternative 10: 88.3% accurate, 1.8× speedup

Math

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot -19.739208802181317\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (* (sqrt (/ u1 (- 1.0 u1))) (+ 1.0 (* (* u2 u2) -19.739208802181317))))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1))) * (1.0f + ((u2 * u2) * -19.739208802181317f));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1))) * (1.0e0 + ((u2 * u2) * (-19.739208802181317e0)))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(sqrt(Float32(u1 / Float32(Float32(1.0) - u1))) * Float32(Float32(1.0) + Float32(Float32(u2 * u2) * Float32(-19.739208802181317))))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1))) * (single(1.0) + ((u2 * u2) * single(-19.739208802181317)));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u2 around 0

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

   1. associate-*r* N/A

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

   2. *-commutative N/A

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

   3. associate-*r* N/A

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

   4. *-commutative N/A

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

   5. distribute-rgt1-in N/A

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

   6. +-commutative N/A

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

   7. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\left(1 + \frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right), \color{blue}{\left(\sqrt{\frac{u1}{1 - u1}}\right)}\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \left(\frac{-98696044010906577398881}{5000000000000000000000} \cdot {u2}^{2}\right)\right), \left(\sqrt{\color{blue}{\frac{u1}{1 - u1}}}\right)\right) \]

   9. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \left({u2}^{2}\right)\right)\right), \left(\sqrt{\frac{u1}{\color{blue}{1 - u1}}}\right)\right) \]

   10. unpow2 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \left(u2 \cdot u2\right)\right)\right), \left(\sqrt{\frac{u1}{1 - \color{blue}{u1}}}\right)\right) \]

   11. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1}{1 - \color{blue}{u1}}}\right)\right) \]

   12. *-rgt-identity N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{1 - u1}}\right)\right) \]

   13. sub-neg N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{1 + \left(\mathsf{neg}\left(u1\right)\right)}}\right)\right) \]

   14. rgt-mult-inverse N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1} + \left(\mathsf{neg}\left(u1\right)\right)}}\right)\right) \]

   15. mul-1-neg N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\mathsf{neg}\left(u1\right)} + \left(\mathsf{neg}\left(u1\right)\right)}}\right)\right) \]

   16. distribute-neg-frac2 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(\mathsf{neg}\left(u1\right)\right)}}\right)\right) \]

   17. mul-1-neg N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + -1 \cdot u1}}\right)\right) \]

   18. *-rgt-identity N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1}}\right)\right) \]

   19. distribute-lft-in N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(u2, u2\right)\right)\right), \left(\sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}}\right)\right) \]

5. Simplified 88.5%

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

6. Final simplification 88.5%

   \[\leadsto \sqrt{\frac{u1}{1 - u1}} \cdot \left(1 + \left(u2 \cdot u2\right) \cdot -19.739208802181317\right) \]
7. Add Preprocessing

Alternative 11: 80.2% accurate, 2.0× speedup

Math

\[\begin{array}{l} \\ \sqrt{\frac{u1}{1 - u1}} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (/ u1 (- 1.0 u1))))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 / (1.0f - u1)));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 / (1.0e0 - u1)))
end function

Julia

function code(cosTheta_i, u1, u2)
	return sqrt(Float32(u1 / Float32(Float32(1.0) - u1)))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 / (single(1.0) - u1)));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u2 around 0

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

   1. *-rgt-identity N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 - u1}} \]

   2. sub-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   3. rgt-mult-inverse N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   4. mul-1-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\mathsf{neg}\left(u1\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   5. distribute-neg-frac2 N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   6. mul-1-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + -1 \cdot u1}} \]

   7. *-rgt-identity N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1}} \]

   8. distribute-lft-in N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}} \]

   9. +-commutative N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}} \]

   10. sub-neg N/A

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

   11. associate-*r* N/A

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

   12. sqrt-lowering-sqrt.f32 N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

   13. *-rgt-identity N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

   14. /-lowering-/.f32 N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right)\right) \]

   15. associate-*r* N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right) \]

   16. sub-neg N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)\right)\right)\right) \]

   17. +-commutative N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)\right)\right)\right) \]

   18. distribute-lft-in N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1\right)\right)\right) \]

5. Simplified 80.6%

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

Alternative 12: 71.8% accurate, 2.0× speedup

Math

\[\begin{array}{l} \\ \sqrt{u1 \cdot \left(1 + u1\right)} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt (* u1 (+ 1.0 u1))))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf((u1 * (1.0f + u1)));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt((u1 * (1.0e0 + u1)))
end function

Julia

function code(cosTheta_i, u1, u2)
	return sqrt(Float32(u1 * Float32(Float32(1.0) + u1)))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt((u1 * (single(1.0) + u1)));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u2 around 0

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

   1. *-rgt-identity N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 - u1}} \]

   2. sub-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   3. rgt-mult-inverse N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   4. mul-1-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\mathsf{neg}\left(u1\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   5. distribute-neg-frac2 N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   6. mul-1-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + -1 \cdot u1}} \]

   7. *-rgt-identity N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1}} \]

   8. distribute-lft-in N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}} \]

   9. +-commutative N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}} \]

   10. sub-neg N/A

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

   11. associate-*r* N/A

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

   12. sqrt-lowering-sqrt.f32 N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

   13. *-rgt-identity N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

   14. /-lowering-/.f32 N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right)\right) \]

   15. associate-*r* N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right) \]

   16. sub-neg N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)\right)\right)\right) \]

   17. +-commutative N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)\right)\right)\right) \]

   18. distribute-lft-in N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1\right)\right)\right) \]

5. Simplified 80.6%

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

6. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right) \]
7. Step-by-step derivation

   1. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right) \]

   2. +-commutative N/A

      \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right) \]

   3. +-lowering-+.f32 72.2%

      \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right) \]

8. Simplified 72.2%

   \[\leadsto \sqrt{\color{blue}{u1 \cdot \left(u1 + 1\right)}} \]

9. Final simplification 72.2%

   \[\leadsto \sqrt{u1 \cdot \left(1 + u1\right)} \]
10. Add Preprocessing

Alternative 13: 63.3% accurate, 2.1× speedup

Math

\[\begin{array}{l} \\ \sqrt{u1} \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2) :precision binary32 (sqrt u1))

C

float code(float cosTheta_i, float u1, float u2) {
	return sqrtf(u1);
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = sqrt(u1)
end function

Julia

function code(cosTheta_i, u1, u2)
	return sqrt(u1)
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = sqrt(u1);
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u2 around 0

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

   1. *-rgt-identity N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 - u1}} \]

   2. sub-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{1 + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   3. rgt-mult-inverse N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{-1 \cdot u1} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   4. mul-1-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \frac{1}{\mathsf{neg}\left(u1\right)} + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   5. distribute-neg-frac2 N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(\mathsf{neg}\left(u1\right)\right)}} \]

   6. mul-1-neg N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + -1 \cdot u1}} \]

   7. *-rgt-identity N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1}} \]

   8. distribute-lft-in N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)}} \]

   9. +-commutative N/A

      \[\leadsto \sqrt{\frac{u1 \cdot 1}{\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)}} \]

   10. sub-neg N/A

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

   11. associate-*r* N/A

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

   12. sqrt-lowering-sqrt.f32 N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1 \cdot 1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

   13. *-rgt-identity N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\left(\frac{u1}{-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)}\right)\right) \]

   14. /-lowering-/.f32 N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(-1 \cdot \left(u1 \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right)\right) \]

   15. associate-*r* N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 - \frac{1}{u1}\right)\right)\right)\right) \]

   16. sub-neg N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(1 + \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right)\right)\right)\right)\right) \]

   17. +-commutative N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + 1\right)\right)\right)\right) \]

   18. distribute-lft-in N/A

       \[\leadsto \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(u1, \left(\left(-1 \cdot u1\right) \cdot \left(\mathsf{neg}\left(\frac{1}{u1}\right)\right) + \left(-1 \cdot u1\right) \cdot 1\right)\right)\right) \]

5. Simplified 80.6%

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

6. Taylor expanded in u1 around 0

   \[\leadsto \color{blue}{\sqrt{u1}} \]
7. Step-by-step derivation

   1. sqrt-lowering-sqrt.f32 62.7%

      \[\leadsto \mathsf{sqrt.f32}\left(u1\right) \]

8. Simplified 62.7%

   \[\leadsto \color{blue}{\sqrt{u1}} \]
9. Add Preprocessing

Alternative 14: 20.7% accurate, 10.0× speedup

Math

\[\begin{array}{l} \\ \left(u1 \cdot \left(-1 + \frac{-0.5}{u1}\right)\right) \cdot \left(-1 - u2 \cdot \left(u2 \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot 64.93939402268539\right)\right)\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (* u1 (+ -1.0 (/ -0.5 u1)))
  (-
   -1.0
   (* u2 (* u2 (+ -19.739208802181317 (* (* u2 u2) 64.93939402268539)))))))

C

float code(float cosTheta_i, float u1, float u2) {
	return (u1 * (-1.0f + (-0.5f / u1))) * (-1.0f - (u2 * (u2 * (-19.739208802181317f + ((u2 * u2) * 64.93939402268539f)))));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = (u1 * ((-1.0e0) + ((-0.5e0) / u1))) * ((-1.0e0) - (u2 * (u2 * ((-19.739208802181317e0) + ((u2 * u2) * 64.93939402268539e0)))))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(Float32(u1 * Float32(Float32(-1.0) + Float32(Float32(-0.5) / u1))) * Float32(Float32(-1.0) - Float32(u2 * Float32(u2 * Float32(Float32(-19.739208802181317) + Float32(Float32(u2 * u2) * Float32(64.93939402268539)))))))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = (u1 * (single(-1.0) + (single(-0.5) / u1))) * (single(-1.0) - (u2 * (u2 * (single(-19.739208802181317) + ((u2 * u2) * single(64.93939402268539))))));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   2. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   3. +-lowering-+.f32 86.8%

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

5. Simplified 86.8%

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

6. Taylor expanded in u1 around -inf

   \[\leadsto \mathsf{*.f32}\left(\color{blue}{\left(-1 \cdot \left(u1 \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)}, \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
7. Step-by-step derivation

   1. associate-*r* N/A

      \[\leadsto \mathsf{*.f32}\left(\left(\left(-1 \cdot u1\right) \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(-1 \cdot u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   3. mul-1-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(\mathsf{neg}\left(u1\right)\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   4. neg-lowering-neg.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   6. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(\sqrt{-1} \cdot \sqrt{-1} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. rem-square-sqrt N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(-1 + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   9. associate-*r/ N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2} \cdot 1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2}}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   11. distribute-neg-frac N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\mathsf{neg}\left(\frac{1}{2}\right)}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\frac{-1}{2}}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   13. /-lowering-/.f32 21.2%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

8. Simplified 21.2%

   \[\leadsto \color{blue}{\left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]

9. Taylor expanded in u2 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
10. Step-by-step derivation

    1. +-lowering-+.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

    2. unpow2 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \left(\left(u2 \cdot u2\right) \cdot \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

    3. associate-*l* N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \left(u2 \cdot \color{blue}{\left(u2 \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right) \]

    4. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \color{blue}{\left(u2 \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right) \]

    5. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right)\right) \]

    6. sub-neg N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right)\right) \]

    7. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right)\right) \]

    8. +-commutative N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}}\right)\right)\right)\right)\right) \]

    9. +-lowering-+.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right)\right) \]

    10. *-commutative N/A

        \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right) \]

    11. *-lowering-*.f32 N/A

        \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right)\right) \]

    12. unpow2 N/A

        \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right) \]

    13. *-lowering-*.f32 20.8%

        \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right)\right)\right)\right)\right)\right) \]

11. Simplified 20.8%

    \[\leadsto \left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right) \cdot \color{blue}{\left(1 + u2 \cdot \left(u2 \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot 64.93939402268539\right)\right)\right)} \]

12. Final simplification 20.8%

    \[\leadsto \left(u1 \cdot \left(-1 + \frac{-0.5}{u1}\right)\right) \cdot \left(-1 - u2 \cdot \left(u2 \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot 64.93939402268539\right)\right)\right) \]
13. Add Preprocessing

Alternative 15: 20.6% accurate, 11.0× speedup

Math

\[\begin{array}{l} \\ \left(u1 \cdot \frac{-0.5}{u1}\right) \cdot \left(-1 - \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot 64.93939402268539\right)\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (*
  (* u1 (/ -0.5 u1))
  (-
   -1.0
   (* (* u2 u2) (+ -19.739208802181317 (* (* u2 u2) 64.93939402268539))))))

C

float code(float cosTheta_i, float u1, float u2) {
	return (u1 * (-0.5f / u1)) * (-1.0f - ((u2 * u2) * (-19.739208802181317f + ((u2 * u2) * 64.93939402268539f))));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = (u1 * ((-0.5e0) / u1)) * ((-1.0e0) - ((u2 * u2) * ((-19.739208802181317e0) + ((u2 * u2) * 64.93939402268539e0))))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(Float32(u1 * Float32(Float32(-0.5) / u1)) * Float32(Float32(-1.0) - Float32(Float32(u2 * u2) * Float32(Float32(-19.739208802181317) + Float32(Float32(u2 * u2) * Float32(64.93939402268539))))))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = (u1 * (single(-0.5) / u1)) * (single(-1.0) - ((u2 * u2) * (single(-19.739208802181317) + ((u2 * u2) * single(64.93939402268539)))));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   2. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   3. +-lowering-+.f32 86.8%

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

5. Simplified 86.8%

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

6. Taylor expanded in u1 around -inf

   \[\leadsto \mathsf{*.f32}\left(\color{blue}{\left(-1 \cdot \left(u1 \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)}, \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
7. Step-by-step derivation

   1. associate-*r* N/A

      \[\leadsto \mathsf{*.f32}\left(\left(\left(-1 \cdot u1\right) \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(-1 \cdot u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   3. mul-1-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(\mathsf{neg}\left(u1\right)\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   4. neg-lowering-neg.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   6. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(\sqrt{-1} \cdot \sqrt{-1} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. rem-square-sqrt N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(-1 + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   9. associate-*r/ N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2} \cdot 1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2}}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   11. distribute-neg-frac N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\mathsf{neg}\left(\frac{1}{2}\right)}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\frac{-1}{2}}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   13. /-lowering-/.f32 21.2%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

8. Simplified 21.2%

   \[\leadsto \color{blue}{\left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]

9. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \color{blue}{\left(\frac{\frac{-1}{2}}{u1}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
10. Step-by-step derivation

    1. /-lowering-/.f32 20.8%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

11. Simplified 20.8%

    \[\leadsto \left(\left(-u1\right) \cdot \color{blue}{\frac{-0.5}{u1}}\right) \cdot \cos \left(6.28318530718 \cdot u2\right) \]

12. Taylor expanded in u2 around 0

    \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \color{blue}{\left(1 + {u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right) \]
13. Step-by-step derivation

    1. +-lowering-+.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right) \]

    2. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{5000000000000000000000}\right)}\right)\right)\right) \]

    3. unpow2 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

    4. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}} - \frac{98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

    5. sub-neg N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{5000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

    6. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{-98696044010906577398881}{5000000000000000000000}\right)\right)\right)\right) \]

    7. +-commutative N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \left(\frac{-98696044010906577398881}{5000000000000000000000} + \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}}\right)\right)\right)\right) \]

    8. +-lowering-+.f32 N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

    9. *-commutative N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right) \]

    10. *-lowering-*.f32 N/A

        \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right) \]

    11. unpow2 N/A

        \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right)\right)\right)\right)\right) \]

    12. *-lowering-*.f32 20.5%

        \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \mathsf{+.f32}\left(\frac{-98696044010906577398881}{5000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{9740909103402808085817682884085781839780052161}{150000000000000000000000000000000000000000000}\right)\right)\right)\right)\right) \]

14. Simplified 20.5%

    \[\leadsto \left(\left(-u1\right) \cdot \frac{-0.5}{u1}\right) \cdot \color{blue}{\left(1 + \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot 64.93939402268539\right)\right)} \]

15. Final simplification 20.5%

    \[\leadsto \left(u1 \cdot \frac{-0.5}{u1}\right) \cdot \left(-1 - \left(u2 \cdot u2\right) \cdot \left(-19.739208802181317 + \left(u2 \cdot u2\right) \cdot 64.93939402268539\right)\right) \]
16. Add Preprocessing

Alternative 16: 20.6% accurate, 16.1× speedup

Math

\[\begin{array}{l} \\ 0.5 + u2 \cdot \left(u2 \cdot \left(-9.869604401090658 + \left(u2 \cdot u2\right) \cdot 32.469697011342696\right)\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2)
 :precision binary32
 (+ 0.5 (* u2 (* u2 (+ -9.869604401090658 (* (* u2 u2) 32.469697011342696))))))

C

float code(float cosTheta_i, float u1, float u2) {
	return 0.5f + (u2 * (u2 * (-9.869604401090658f + ((u2 * u2) * 32.469697011342696f))));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = 0.5e0 + (u2 * (u2 * ((-9.869604401090658e0) + ((u2 * u2) * 32.469697011342696e0))))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(Float32(0.5) + Float32(u2 * Float32(u2 * Float32(Float32(-9.869604401090658) + Float32(Float32(u2 * u2) * Float32(32.469697011342696))))))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = single(0.5) + (u2 * (u2 * (single(-9.869604401090658) + ((u2 * u2) * single(32.469697011342696)))));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   2. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   3. +-lowering-+.f32 86.8%

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

5. Simplified 86.8%

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

6. Taylor expanded in u1 around -inf

   \[\leadsto \mathsf{*.f32}\left(\color{blue}{\left(-1 \cdot \left(u1 \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)}, \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
7. Step-by-step derivation

   1. associate-*r* N/A

      \[\leadsto \mathsf{*.f32}\left(\left(\left(-1 \cdot u1\right) \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(-1 \cdot u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   3. mul-1-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(\mathsf{neg}\left(u1\right)\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   4. neg-lowering-neg.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   6. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(\sqrt{-1} \cdot \sqrt{-1} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. rem-square-sqrt N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(-1 + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   9. associate-*r/ N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2} \cdot 1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2}}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   11. distribute-neg-frac N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\mathsf{neg}\left(\frac{1}{2}\right)}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\frac{-1}{2}}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   13. /-lowering-/.f32 21.2%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

8. Simplified 21.2%

   \[\leadsto \color{blue}{\left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]

9. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \color{blue}{\left(\frac{\frac{-1}{2}}{u1}\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
10. Step-by-step derivation

    1. /-lowering-/.f32 20.8%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

11. Simplified 20.8%

    \[\leadsto \left(\left(-u1\right) \cdot \color{blue}{\frac{-0.5}{u1}}\right) \cdot \cos \left(6.28318530718 \cdot u2\right) \]

12. Taylor expanded in u2 around 0

    \[\leadsto \color{blue}{\frac{1}{2} + {u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{10000000000000000000000}\right)} \]
13. Step-by-step derivation

    1. +-lowering-+.f32 N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \color{blue}{\left({u2}^{2} \cdot \left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{10000000000000000000000}\right)\right)}\right) \]

    2. unpow2 N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \left(\left(u2 \cdot u2\right) \cdot \left(\color{blue}{\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2}} - \frac{98696044010906577398881}{10000000000000000000000}\right)\right)\right) \]

    3. associate-*l* N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \left(u2 \cdot \color{blue}{\left(u2 \cdot \left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{10000000000000000000000}\right)\right)}\right)\right) \]

    4. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \color{blue}{\left(u2 \cdot \left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{10000000000000000000000}\right)\right)}\right)\right) \]

    5. *-lowering-*.f32 N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2} - \frac{98696044010906577398881}{10000000000000000000000}\right)}\right)\right)\right) \]

    6. sub-neg N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2} + \color{blue}{\left(\mathsf{neg}\left(\frac{98696044010906577398881}{10000000000000000000000}\right)\right)}\right)\right)\right)\right) \]

    7. metadata-eval N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2} + \frac{-98696044010906577398881}{10000000000000000000000}\right)\right)\right)\right) \]

    8. +-commutative N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \left(\frac{-98696044010906577398881}{10000000000000000000000} + \color{blue}{\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2}}\right)\right)\right)\right) \]

    9. +-lowering-+.f32 N/A

       \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{10000000000000000000000}, \color{blue}{\left(\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000} \cdot {u2}^{2}\right)}\right)\right)\right)\right) \]

    10. *-commutative N/A

        \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{10000000000000000000000}, \left({u2}^{2} \cdot \color{blue}{\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right) \]

    11. *-lowering-*.f32 N/A

        \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{10000000000000000000000}, \mathsf{*.f32}\left(\left({u2}^{2}\right), \color{blue}{\frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000}}\right)\right)\right)\right)\right) \]

    12. unpow2 N/A

        \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{10000000000000000000000}, \mathsf{*.f32}\left(\left(u2 \cdot u2\right), \frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000}\right)\right)\right)\right)\right) \]

    13. *-lowering-*.f32 20.5%

        \[\leadsto \mathsf{+.f32}\left(\frac{1}{2}, \mathsf{*.f32}\left(u2, \mathsf{*.f32}\left(u2, \mathsf{+.f32}\left(\frac{-98696044010906577398881}{10000000000000000000000}, \mathsf{*.f32}\left(\mathsf{*.f32}\left(u2, u2\right), \frac{9740909103402808085817682884085781839780052161}{300000000000000000000000000000000000000000000}\right)\right)\right)\right)\right) \]

14. Simplified 20.5%

    \[\leadsto \color{blue}{0.5 + u2 \cdot \left(u2 \cdot \left(-9.869604401090658 + \left(u2 \cdot u2\right) \cdot 32.469697011342696\right)\right)} \]
15. Add Preprocessing

Alternative 17: 20.2% accurate, 26.1× speedup

Math

\[\begin{array}{l} \\ \left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right) \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2) :precision binary32 (* (- u1) (+ -1.0 (/ -0.5 u1))))

C

float code(float cosTheta_i, float u1, float u2) {
	return -u1 * (-1.0f + (-0.5f / u1));
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = -u1 * ((-1.0e0) + ((-0.5e0) / u1))
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(Float32(-u1) * Float32(Float32(-1.0) + Float32(Float32(-0.5) / u1)))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = -u1 * (single(-1.0) + (single(-0.5) / u1));
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   2. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   3. +-lowering-+.f32 86.8%

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

5. Simplified 86.8%

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

6. Taylor expanded in u1 around -inf

   \[\leadsto \mathsf{*.f32}\left(\color{blue}{\left(-1 \cdot \left(u1 \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)}, \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
7. Step-by-step derivation

   1. associate-*r* N/A

      \[\leadsto \mathsf{*.f32}\left(\left(\left(-1 \cdot u1\right) \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(-1 \cdot u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   3. mul-1-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(\mathsf{neg}\left(u1\right)\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   4. neg-lowering-neg.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   6. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(\sqrt{-1} \cdot \sqrt{-1} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. rem-square-sqrt N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(-1 + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   9. associate-*r/ N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2} \cdot 1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2}}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   11. distribute-neg-frac N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\mathsf{neg}\left(\frac{1}{2}\right)}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\frac{-1}{2}}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   13. /-lowering-/.f32 21.2%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

8. Simplified 21.2%

   \[\leadsto \color{blue}{\left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]

9. Taylor expanded in u2 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \color{blue}{1}\right) \]
10. Step-by-step derivation

11. Simplified 20.3%

    \[\leadsto \left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right) \cdot \color{blue}{1} \]

12. Final simplification 20.3%

    \[\leadsto \left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right) \]
13. Add Preprocessing

Alternative 18: 20.2% accurate, 69.7× speedup

Math

\[\begin{array}{l} \\ u1 + 0.5 \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2) :precision binary32 (+ u1 0.5))

C

float code(float cosTheta_i, float u1, float u2) {
	return u1 + 0.5f;
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = u1 + 0.5e0
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(u1 + Float32(0.5))
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = u1 + single(0.5);
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   2. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   3. +-lowering-+.f32 86.8%

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

5. Simplified 86.8%

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

6. Taylor expanded in u1 around -inf

   \[\leadsto \mathsf{*.f32}\left(\color{blue}{\left(-1 \cdot \left(u1 \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)}, \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
7. Step-by-step derivation

   1. associate-*r* N/A

      \[\leadsto \mathsf{*.f32}\left(\left(\left(-1 \cdot u1\right) \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(-1 \cdot u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   3. mul-1-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(\mathsf{neg}\left(u1\right)\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   4. neg-lowering-neg.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   6. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(\sqrt{-1} \cdot \sqrt{-1} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. rem-square-sqrt N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(-1 + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   9. associate-*r/ N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2} \cdot 1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2}}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   11. distribute-neg-frac N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\mathsf{neg}\left(\frac{1}{2}\right)}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\frac{-1}{2}}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   13. /-lowering-/.f32 21.2%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

8. Simplified 21.2%

   \[\leadsto \color{blue}{\left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]

9. Taylor expanded in u2 around 0

   \[\leadsto \color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot \frac{1}{u1}\right)} \]
10. Step-by-step derivation

    1. distribute-rgt-in N/A

       \[\leadsto 1 \cdot u1 + \color{blue}{\left(\frac{1}{2} \cdot \frac{1}{u1}\right) \cdot u1} \]

    2. *-lft-identity N/A

       \[\leadsto u1 + \color{blue}{\left(\frac{1}{2} \cdot \frac{1}{u1}\right)} \cdot u1 \]

    3. associate-*l* N/A

       \[\leadsto u1 + \frac{1}{2} \cdot \color{blue}{\left(\frac{1}{u1} \cdot u1\right)} \]

    4. lft-mult-inverse N/A

       \[\leadsto u1 + \frac{1}{2} \cdot 1 \]

    5. metadata-eval N/A

       \[\leadsto u1 + \frac{1}{2} \]

    6. +-lowering-+.f32 20.3%

       \[\leadsto \mathsf{+.f32}\left(u1, \color{blue}{\frac{1}{2}}\right) \]

11. Simplified 20.3%

    \[\leadsto \color{blue}{u1 + 0.5} \]
12. Add Preprocessing

Alternative 19: 20.1% accurate, 209.0× speedup

Math

\[\begin{array}{l} \\ 0.5 \end{array} \]

FPCore

(FPCore (cosTheta_i u1 u2) :precision binary32 0.5)

C

float code(float cosTheta_i, float u1, float u2) {
	return 0.5f;
}

Fortran

real(4) function code(costheta_i, u1, u2)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: u1
    real(4), intent (in) :: u2
    code = 0.5e0
end function

Julia

function code(cosTheta_i, u1, u2)
	return Float32(0.5)
end

MATLAB

function tmp = code(cosTheta_i, u1, u2)
	tmp = single(0.5);
end

Derivation

1. Initial program 98.9%

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

3. Taylor expanded in u1 around 0

   \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\color{blue}{\left(u1 \cdot \left(1 + u1\right)\right)}\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
4. Step-by-step derivation

   1. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(1 + u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   2. +-commutative N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \left(u1 + 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   3. +-lowering-+.f32 86.8%

      \[\leadsto \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{*.f32}\left(u1, \mathsf{+.f32}\left(u1, 1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

5. Simplified 86.8%

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

6. Taylor expanded in u1 around -inf

   \[\leadsto \mathsf{*.f32}\left(\color{blue}{\left(-1 \cdot \left(u1 \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)}, \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]
7. Step-by-step derivation

   1. associate-*r* N/A

      \[\leadsto \mathsf{*.f32}\left(\left(\left(-1 \cdot u1\right) \cdot \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   2. *-lowering-*.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(-1 \cdot u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\color{blue}{\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)}\right)\right) \]

   3. mul-1-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\left(\mathsf{neg}\left(u1\right)\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   4. neg-lowering-neg.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} - \frac{1}{2} \cdot \frac{1}{u1}\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\color{blue}{\frac{314159265359}{50000000000}}, u2\right)\right)\right) \]

   5. sub-neg N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left({\left(\sqrt{-1}\right)}^{2} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   6. unpow2 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(\sqrt{-1} \cdot \sqrt{-1} + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   7. rem-square-sqrt N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \left(-1 + \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   8. +-lowering-+.f32 N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{1}{2} \cdot \frac{1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, \color{blue}{u2}\right)\right)\right) \]

   9. associate-*r/ N/A

      \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2} \cdot 1}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\mathsf{neg}\left(\frac{\frac{1}{2}}{u1}\right)\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   11. distribute-neg-frac N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\mathsf{neg}\left(\frac{1}{2}\right)}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \left(\frac{\frac{-1}{2}}{u1}\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

   13. /-lowering-/.f32 21.2%

       \[\leadsto \mathsf{*.f32}\left(\mathsf{*.f32}\left(\mathsf{neg.f32}\left(u1\right), \mathsf{+.f32}\left(-1, \mathsf{/.f32}\left(\frac{-1}{2}, u1\right)\right)\right), \mathsf{cos.f32}\left(\mathsf{*.f32}\left(\frac{314159265359}{50000000000}, u2\right)\right)\right) \]

8. Simplified 21.2%

   \[\leadsto \color{blue}{\left(\left(-u1\right) \cdot \left(-1 + \frac{-0.5}{u1}\right)\right)} \cdot \cos \left(6.28318530718 \cdot u2\right) \]

9. Taylor expanded in u2 around 0

   \[\leadsto \color{blue}{u1 \cdot \left(1 + \frac{1}{2} \cdot \frac{1}{u1}\right)} \]
10. Step-by-step derivation

    1. distribute-rgt-in N/A

       \[\leadsto 1 \cdot u1 + \color{blue}{\left(\frac{1}{2} \cdot \frac{1}{u1}\right) \cdot u1} \]

    2. *-lft-identity N/A

       \[\leadsto u1 + \color{blue}{\left(\frac{1}{2} \cdot \frac{1}{u1}\right)} \cdot u1 \]

    3. associate-*l* N/A

       \[\leadsto u1 + \frac{1}{2} \cdot \color{blue}{\left(\frac{1}{u1} \cdot u1\right)} \]

    4. lft-mult-inverse N/A

       \[\leadsto u1 + \frac{1}{2} \cdot 1 \]

    5. metadata-eval N/A

       \[\leadsto u1 + \frac{1}{2} \]

    6. +-lowering-+.f32 20.3%

       \[\leadsto \mathsf{+.f32}\left(u1, \color{blue}{\frac{1}{2}}\right) \]

11. Simplified 20.3%

    \[\leadsto \color{blue}{u1 + 0.5} \]

12. Taylor expanded in u1 around 0

    \[\leadsto \color{blue}{\frac{1}{2}} \]
13. Step-by-step derivation

14. Simplified 20.0%

    \[\leadsto \color{blue}{0.5} \]
15. Add Preprocessing

Reproduce

herbie shell --seed 2024145 
(FPCore (cosTheta_i u1 u2)
  :name "Trowbridge-Reitz Sample, near normal, slope_x"
  :precision binary32
  :pre (and (and (and (> cosTheta_i 0.9999) (<= cosTheta_i 1.0)) (and (<= 2.328306437e-10 u1) (<= u1 1.0))) (and (<= 2.328306437e-10 u2) (<= u2 1.0)))
  (* (sqrt (/ u1 (- 1.0 u1))) (cos (* 6.28318530718 u2))))