Beckmann Sample, normalization factor

Percentage Accurate: 97.8% → 98.5%
Time: 18.4s
Alternatives: 14
Speedup: 1.5×

Specification

?
\[\left(0 < cosTheta \land cosTheta < 0.9999\right) \land \left(-1 < c \land c < 1\right)\]
\[\begin{array}{l} \\ \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   (+ 1.0 c)
   (*
    (* (/ 1.0 (sqrt PI)) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta))
    (exp (* (- cosTheta) cosTheta))))))
float code(float cosTheta, float c) {
	return 1.0f / ((1.0f + c) + (((1.0f / sqrtf(((float) M_PI))) * (sqrtf(((1.0f - cosTheta) - cosTheta)) / cosTheta)) * expf((-cosTheta * cosTheta))));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / Float32(Float32(Float32(1.0) + c) + Float32(Float32(Float32(Float32(1.0) / sqrt(Float32(pi))) * Float32(sqrt(Float32(Float32(Float32(1.0) - cosTheta) - cosTheta)) / cosTheta)) * exp(Float32(Float32(-cosTheta) * cosTheta)))))
end
function tmp = code(cosTheta, c)
	tmp = single(1.0) / ((single(1.0) + c) + (((single(1.0) / sqrt(single(pi))) * (sqrt(((single(1.0) - cosTheta) - cosTheta)) / cosTheta)) * exp((-cosTheta * cosTheta))));
end
\begin{array}{l}

\\
\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}}
\end{array}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 14 alternatives:

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

Initial Program: 97.8% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   (+ 1.0 c)
   (*
    (* (/ 1.0 (sqrt PI)) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta))
    (exp (* (- cosTheta) cosTheta))))))
float code(float cosTheta, float c) {
	return 1.0f / ((1.0f + c) + (((1.0f / sqrtf(((float) M_PI))) * (sqrtf(((1.0f - cosTheta) - cosTheta)) / cosTheta)) * expf((-cosTheta * cosTheta))));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / Float32(Float32(Float32(1.0) + c) + Float32(Float32(Float32(Float32(1.0) / sqrt(Float32(pi))) * Float32(sqrt(Float32(Float32(Float32(1.0) - cosTheta) - cosTheta)) / cosTheta)) * exp(Float32(Float32(-cosTheta) * cosTheta)))))
end
function tmp = code(cosTheta, c)
	tmp = single(1.0) / ((single(1.0) + c) + (((single(1.0) / sqrt(single(pi))) * (sqrt(((single(1.0) - cosTheta) - cosTheta)) / cosTheta)) * exp((-cosTheta * cosTheta))));
end
\begin{array}{l}

\\
\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}}
\end{array}

Alternative 1: 98.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\frac{{\left(1 + cosTheta \cdot -2\right)}^{0.5}}{cosTheta \cdot \left(e^{cosTheta \cdot cosTheta} \cdot {\pi}^{0.5}\right)} + \left(1 + c\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   (/
    (pow (+ 1.0 (* cosTheta -2.0)) 0.5)
    (* cosTheta (* (exp (* cosTheta cosTheta)) (pow PI 0.5))))
   (+ 1.0 c))))
float code(float cosTheta, float c) {
	return 1.0f / ((powf((1.0f + (cosTheta * -2.0f)), 0.5f) / (cosTheta * (expf((cosTheta * cosTheta)) * powf(((float) M_PI), 0.5f)))) + (1.0f + c));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / Float32(Float32((Float32(Float32(1.0) + Float32(cosTheta * Float32(-2.0))) ^ Float32(0.5)) / Float32(cosTheta * Float32(exp(Float32(cosTheta * cosTheta)) * (Float32(pi) ^ Float32(0.5))))) + Float32(Float32(1.0) + c)))
end
function tmp = code(cosTheta, c)
	tmp = single(1.0) / ((((single(1.0) + (cosTheta * single(-2.0))) ^ single(0.5)) / (cosTheta * (exp((cosTheta * cosTheta)) * (single(pi) ^ single(0.5))))) + (single(1.0) + c));
end
\begin{array}{l}

\\
\frac{1}{\frac{{\left(1 + cosTheta \cdot -2\right)}^{0.5}}{cosTheta \cdot \left(e^{cosTheta \cdot cosTheta} \cdot {\pi}^{0.5}\right)} + \left(1 + c\right)}
\end{array}
Derivation
  1. Initial program 97.6%

    \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  2. Step-by-step derivation
    1. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
    2. +-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
    3. associate-+l+N/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    4. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    5. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
    6. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
    7. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
    8. distribute-lft-neg-outN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
    9. exp-negN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
  3. Simplified98.4%

    \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
  4. Add Preprocessing
  5. Step-by-step derivation
    1. +-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(\left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta\right)}\right) + \color{blue}{c}\right)\right) \]
    2. +-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(\left(\frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta\right)} + 1\right) + c\right)\right) \]
    3. associate-+l+N/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta\right)} + \color{blue}{\left(1 + c\right)}\right)\right) \]
    4. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\left(\frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\mathsf{PI}\left(\right)} \cdot cosTheta\right)}\right), \color{blue}{\left(1 + c\right)}\right)\right) \]
  6. Applied egg-rr98.4%

    \[\leadsto \frac{1}{\color{blue}{\frac{{\left(1 + cosTheta \cdot -2\right)}^{0.5}}{cosTheta \cdot \left(e^{cosTheta \cdot cosTheta} \cdot {\pi}^{0.5}\right)} + \left(1 + c\right)}} \]
  7. Add Preprocessing

Alternative 2: 98.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(cosTheta \cdot \sqrt{\pi}\right)}\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   c
   (+
    1.0
    (/
     (sqrt (+ 1.0 (* cosTheta -2.0)))
     (* (exp (* cosTheta cosTheta)) (* cosTheta (sqrt PI))))))))
float code(float cosTheta, float c) {
	return 1.0f / (c + (1.0f + (sqrtf((1.0f + (cosTheta * -2.0f))) / (expf((cosTheta * cosTheta)) * (cosTheta * sqrtf(((float) M_PI)))))));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / Float32(c + Float32(Float32(1.0) + Float32(sqrt(Float32(Float32(1.0) + Float32(cosTheta * Float32(-2.0)))) / Float32(exp(Float32(cosTheta * cosTheta)) * Float32(cosTheta * sqrt(Float32(pi))))))))
end
function tmp = code(cosTheta, c)
	tmp = single(1.0) / (c + (single(1.0) + (sqrt((single(1.0) + (cosTheta * single(-2.0)))) / (exp((cosTheta * cosTheta)) * (cosTheta * sqrt(single(pi)))))));
end
\begin{array}{l}

\\
\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(cosTheta \cdot \sqrt{\pi}\right)}\right)}
\end{array}
Derivation
  1. Initial program 97.6%

    \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  2. Step-by-step derivation
    1. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
    2. +-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
    3. associate-+l+N/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    4. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    5. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
    6. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
    7. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
    8. distribute-lft-neg-outN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
    9. exp-negN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
  3. Simplified98.4%

    \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
  4. Add Preprocessing
  5. Final simplification98.4%

    \[\leadsto \frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(cosTheta \cdot \sqrt{\pi}\right)}\right)} \]
  6. Add Preprocessing

Alternative 3: 98.1% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \frac{1}{1 + \left(c + \frac{\frac{{\left(\frac{\pi}{1 + cosTheta \cdot -2}\right)}^{-0.5}}{e^{cosTheta \cdot cosTheta}}}{cosTheta}\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   1.0
   (+
    c
    (/
     (/
      (pow (/ PI (+ 1.0 (* cosTheta -2.0))) -0.5)
      (exp (* cosTheta cosTheta)))
     cosTheta)))))
float code(float cosTheta, float c) {
	return 1.0f / (1.0f + (c + ((powf((((float) M_PI) / (1.0f + (cosTheta * -2.0f))), -0.5f) / expf((cosTheta * cosTheta))) / cosTheta)));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / Float32(Float32(1.0) + Float32(c + Float32(Float32((Float32(Float32(pi) / Float32(Float32(1.0) + Float32(cosTheta * Float32(-2.0)))) ^ Float32(-0.5)) / exp(Float32(cosTheta * cosTheta))) / cosTheta))))
end
function tmp = code(cosTheta, c)
	tmp = single(1.0) / (single(1.0) + (c + ((((single(pi) / (single(1.0) + (cosTheta * single(-2.0)))) ^ single(-0.5)) / exp((cosTheta * cosTheta))) / cosTheta)));
end
\begin{array}{l}

\\
\frac{1}{1 + \left(c + \frac{\frac{{\left(\frac{\pi}{1 + cosTheta \cdot -2}\right)}^{-0.5}}{e^{cosTheta \cdot cosTheta}}}{cosTheta}\right)}
\end{array}
Derivation
  1. Initial program 97.6%

    \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  2. Step-by-step derivation
    1. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
    2. +-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
    3. associate-+l+N/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    4. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    5. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
    6. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
    7. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
    8. distribute-lft-neg-outN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
    9. exp-negN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
  3. Simplified98.4%

    \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
  4. Add Preprocessing
  5. Taylor expanded in c around 0

    \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(1 + \left(c + \frac{1}{cosTheta \cdot e^{{cosTheta}^{2}}} \cdot \sqrt{\frac{1 + -2 \cdot cosTheta}{\mathsf{PI}\left(\right)}}\right)\right)}\right) \]
  6. Simplified97.7%

    \[\leadsto \frac{1}{\color{blue}{1 + \left(c + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}\right)}} \]
  7. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \left(\frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\mathsf{PI}\left(\right)}}}{e^{cosTheta \cdot cosTheta} \cdot \color{blue}{cosTheta}}\right)\right)\right)\right) \]
    2. associate-/r*N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \left(\frac{\frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\mathsf{PI}\left(\right)}}}{e^{cosTheta \cdot cosTheta}}}{\color{blue}{cosTheta}}\right)\right)\right)\right) \]
    3. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\left(\frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\mathsf{PI}\left(\right)}}}{e^{cosTheta \cdot cosTheta}}\right), \color{blue}{cosTheta}\right)\right)\right)\right) \]
    4. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\left(\sqrt{\frac{1 + cosTheta \cdot -2}{\mathsf{PI}\left(\right)}}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    5. clear-numN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\frac{\mathsf{PI}\left(\right)}{1 + cosTheta \cdot -2}}}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    6. inv-powN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\left(\sqrt{{\left(\frac{\mathsf{PI}\left(\right)}{1 + cosTheta \cdot -2}\right)}^{-1}}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    7. sqrt-pow1N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\left({\left(\frac{\mathsf{PI}\left(\right)}{1 + cosTheta \cdot -2}\right)}^{\left(\frac{-1}{2}\right)}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    8. metadata-evalN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\left({\left(\frac{\mathsf{PI}\left(\right)}{1 + cosTheta \cdot -2}\right)}^{\frac{-1}{2}}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    9. pow-lowering-pow.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\mathsf{pow.f32}\left(\left(\frac{\mathsf{PI}\left(\right)}{1 + cosTheta \cdot -2}\right), \frac{-1}{2}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    10. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{PI}\left(\right), \left(1 + cosTheta \cdot -2\right)\right), \frac{-1}{2}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    11. PI-lowering-PI.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{PI.f32}\left(\right), \left(1 + cosTheta \cdot -2\right)\right), \frac{-1}{2}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    12. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{PI.f32}\left(\right), \mathsf{+.f32}\left(1, \left(cosTheta \cdot -2\right)\right)\right), \frac{-1}{2}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    13. *-lowering-*.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{PI.f32}\left(\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(cosTheta, -2\right)\right)\right), \frac{-1}{2}\right), \left(e^{cosTheta \cdot cosTheta}\right)\right), cosTheta\right)\right)\right)\right) \]
    14. exp-lowering-exp.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{PI.f32}\left(\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(cosTheta, -2\right)\right)\right), \frac{-1}{2}\right), \mathsf{exp.f32}\left(\left(cosTheta \cdot cosTheta\right)\right)\right), cosTheta\right)\right)\right)\right) \]
    15. *-lowering-*.f3297.8%

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{/.f32}\left(\mathsf{PI.f32}\left(\right), \mathsf{+.f32}\left(1, \mathsf{*.f32}\left(cosTheta, -2\right)\right)\right), \frac{-1}{2}\right), \mathsf{exp.f32}\left(\mathsf{*.f32}\left(cosTheta, cosTheta\right)\right)\right), cosTheta\right)\right)\right)\right) \]
  8. Applied egg-rr97.8%

    \[\leadsto \frac{1}{1 + \left(c + \color{blue}{\frac{\frac{{\left(\frac{\pi}{1 + cosTheta \cdot -2}\right)}^{-0.5}}{e^{cosTheta \cdot cosTheta}}}{cosTheta}}\right)} \]
  9. Add Preprocessing

Alternative 4: 98.1% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \frac{1}{1 + \left(c + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   1.0
   (+
    c
    (/
     (sqrt (/ (+ 1.0 (* cosTheta -2.0)) PI))
     (* cosTheta (exp (* cosTheta cosTheta))))))))
float code(float cosTheta, float c) {
	return 1.0f / (1.0f + (c + (sqrtf(((1.0f + (cosTheta * -2.0f)) / ((float) M_PI))) / (cosTheta * expf((cosTheta * cosTheta))))));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / Float32(Float32(1.0) + Float32(c + Float32(sqrt(Float32(Float32(Float32(1.0) + Float32(cosTheta * Float32(-2.0))) / Float32(pi))) / Float32(cosTheta * exp(Float32(cosTheta * cosTheta)))))))
end
function tmp = code(cosTheta, c)
	tmp = single(1.0) / (single(1.0) + (c + (sqrt(((single(1.0) + (cosTheta * single(-2.0))) / single(pi))) / (cosTheta * exp((cosTheta * cosTheta))))));
end
\begin{array}{l}

\\
\frac{1}{1 + \left(c + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}\right)}
\end{array}
Derivation
  1. Initial program 97.6%

    \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  2. Step-by-step derivation
    1. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
    2. +-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
    3. associate-+l+N/A

      \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    4. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
    5. +-lowering-+.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
    6. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
    7. *-commutativeN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
    8. distribute-lft-neg-outN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
    9. exp-negN/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
  3. Simplified98.4%

    \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
  4. Add Preprocessing
  5. Taylor expanded in c around 0

    \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(1 + \left(c + \frac{1}{cosTheta \cdot e^{{cosTheta}^{2}}} \cdot \sqrt{\frac{1 + -2 \cdot cosTheta}{\mathsf{PI}\left(\right)}}\right)\right)}\right) \]
  6. Simplified97.7%

    \[\leadsto \frac{1}{\color{blue}{1 + \left(c + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}\right)}} \]
  7. Add Preprocessing

Alternative 5: 97.7% accurate, 1.5× speedup?

\[\begin{array}{l} \\ \frac{1}{1 + \frac{\sqrt{\frac{1 - cosTheta \cdot 2}{\pi}} \cdot e^{0 - cosTheta \cdot cosTheta}}{cosTheta}} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (+
   1.0
   (/
    (*
     (sqrt (/ (- 1.0 (* cosTheta 2.0)) PI))
     (exp (- 0.0 (* cosTheta cosTheta))))
    cosTheta))))
float code(float cosTheta, float c) {
	return 1.0f / (1.0f + ((sqrtf(((1.0f - (cosTheta * 2.0f)) / ((float) M_PI))) * expf((0.0f - (cosTheta * cosTheta)))) / cosTheta));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / Float32(Float32(1.0) + Float32(Float32(sqrt(Float32(Float32(Float32(1.0) - Float32(cosTheta * Float32(2.0))) / Float32(pi))) * exp(Float32(Float32(0.0) - Float32(cosTheta * cosTheta)))) / cosTheta)))
end
function tmp = code(cosTheta, c)
	tmp = single(1.0) / (single(1.0) + ((sqrt(((single(1.0) - (cosTheta * single(2.0))) / single(pi))) * exp((single(0.0) - (cosTheta * cosTheta)))) / cosTheta));
end
\begin{array}{l}

\\
\frac{1}{1 + \frac{\sqrt{\frac{1 - cosTheta \cdot 2}{\pi}} \cdot e^{0 - cosTheta \cdot cosTheta}}{cosTheta}}
\end{array}
Derivation
  1. Initial program 97.6%

    \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. associate-*r/N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \left(\frac{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot e^{\color{blue}{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}\right)\right)\right) \]
    2. associate-*l/N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \left(\frac{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}{\color{blue}{cosTheta}}\right)\right)\right) \]
    3. /-lowering-/.f32N/A

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right), \color{blue}{cosTheta}\right)\right)\right) \]
  4. Applied egg-rr97.8%

    \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\sqrt{\frac{1 - 2 \cdot cosTheta}{\pi}} \cdot e^{-cosTheta \cdot cosTheta}}{cosTheta}}} \]
  5. Taylor expanded in c around 0

    \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\color{blue}{1}, \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, \mathsf{*.f32}\left(2, cosTheta\right)\right), \mathsf{PI.f32}\left(\right)\right)\right), \mathsf{exp.f32}\left(\mathsf{neg.f32}\left(\mathsf{*.f32}\left(cosTheta, cosTheta\right)\right)\right)\right), cosTheta\right)\right)\right) \]
  6. Step-by-step derivation
    1. Simplified97.3%

      \[\leadsto \frac{1}{\color{blue}{1} + \frac{\sqrt{\frac{1 - 2 \cdot cosTheta}{\pi}} \cdot e^{-cosTheta \cdot cosTheta}}{cosTheta}} \]
    2. Final simplification97.3%

      \[\leadsto \frac{1}{1 + \frac{\sqrt{\frac{1 - cosTheta \cdot 2}{\pi}} \cdot e^{0 - cosTheta \cdot cosTheta}}{cosTheta}} \]
    3. Add Preprocessing

    Alternative 6: 97.7% accurate, 1.5× speedup?

    \[\begin{array}{l} \\ \frac{1}{1 + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}} \end{array} \]
    (FPCore (cosTheta c)
     :precision binary32
     (/
      1.0
      (+
       1.0
       (/
        (sqrt (/ (+ 1.0 (* cosTheta -2.0)) PI))
        (* cosTheta (exp (* cosTheta cosTheta)))))))
    float code(float cosTheta, float c) {
    	return 1.0f / (1.0f + (sqrtf(((1.0f + (cosTheta * -2.0f)) / ((float) M_PI))) / (cosTheta * expf((cosTheta * cosTheta)))));
    }
    
    function code(cosTheta, c)
    	return Float32(Float32(1.0) / Float32(Float32(1.0) + Float32(sqrt(Float32(Float32(Float32(1.0) + Float32(cosTheta * Float32(-2.0))) / Float32(pi))) / Float32(cosTheta * exp(Float32(cosTheta * cosTheta))))))
    end
    
    function tmp = code(cosTheta, c)
    	tmp = single(1.0) / (single(1.0) + (sqrt(((single(1.0) + (cosTheta * single(-2.0))) / single(pi))) / (cosTheta * exp((cosTheta * cosTheta)))));
    end
    
    \begin{array}{l}
    
    \\
    \frac{1}{1 + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}}
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Step-by-step derivation
      1. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
      3. associate-+l+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
      4. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
      5. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
      6. *-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
      8. distribute-lft-neg-outN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
      9. exp-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
    3. Simplified98.4%

      \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
    4. Add Preprocessing
    5. Taylor expanded in c around 0

      \[\leadsto \color{blue}{\frac{1}{1 + \frac{1}{cosTheta \cdot e^{{cosTheta}^{2}}} \cdot \sqrt{\frac{1 + -2 \cdot cosTheta}{\mathsf{PI}\left(\right)}}}} \]
    6. Simplified97.3%

      \[\leadsto \color{blue}{\frac{1}{1 + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}}} \]
    7. Add Preprocessing

    Alternative 7: 95.9% accurate, 2.0× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := cosTheta \cdot \left(c \cdot c + -1\right)\\ t_1 := \left(1 - c\right) \cdot \left(1 - cosTheta\right)\\ \frac{cosTheta \cdot \left(1 - c\right)}{\frac{t\_1 \cdot t\_1}{\pi} + cosTheta \cdot \left(\left(1 - c \cdot c\right) \cdot t\_0\right)} \cdot \left(\frac{t\_1}{{\pi}^{0.5}} + t\_0\right) \end{array} \end{array} \]
    (FPCore (cosTheta c)
     :precision binary32
     (let* ((t_0 (* cosTheta (+ (* c c) -1.0)))
            (t_1 (* (- 1.0 c) (- 1.0 cosTheta))))
       (*
        (/
         (* cosTheta (- 1.0 c))
         (+ (/ (* t_1 t_1) PI) (* cosTheta (* (- 1.0 (* c c)) t_0))))
        (+ (/ t_1 (pow PI 0.5)) t_0))))
    float code(float cosTheta, float c) {
    	float t_0 = cosTheta * ((c * c) + -1.0f);
    	float t_1 = (1.0f - c) * (1.0f - cosTheta);
    	return ((cosTheta * (1.0f - c)) / (((t_1 * t_1) / ((float) M_PI)) + (cosTheta * ((1.0f - (c * c)) * t_0)))) * ((t_1 / powf(((float) M_PI), 0.5f)) + t_0);
    }
    
    function code(cosTheta, c)
    	t_0 = Float32(cosTheta * Float32(Float32(c * c) + Float32(-1.0)))
    	t_1 = Float32(Float32(Float32(1.0) - c) * Float32(Float32(1.0) - cosTheta))
    	return Float32(Float32(Float32(cosTheta * Float32(Float32(1.0) - c)) / Float32(Float32(Float32(t_1 * t_1) / Float32(pi)) + Float32(cosTheta * Float32(Float32(Float32(1.0) - Float32(c * c)) * t_0)))) * Float32(Float32(t_1 / (Float32(pi) ^ Float32(0.5))) + t_0))
    end
    
    function tmp = code(cosTheta, c)
    	t_0 = cosTheta * ((c * c) + single(-1.0));
    	t_1 = (single(1.0) - c) * (single(1.0) - cosTheta);
    	tmp = ((cosTheta * (single(1.0) - c)) / (((t_1 * t_1) / single(pi)) + (cosTheta * ((single(1.0) - (c * c)) * t_0)))) * ((t_1 / (single(pi) ^ single(0.5))) + t_0);
    end
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := cosTheta \cdot \left(c \cdot c + -1\right)\\
    t_1 := \left(1 - c\right) \cdot \left(1 - cosTheta\right)\\
    \frac{cosTheta \cdot \left(1 - c\right)}{\frac{t\_1 \cdot t\_1}{\pi} + cosTheta \cdot \left(\left(1 - c \cdot c\right) \cdot t\_0\right)} \cdot \left(\frac{t\_1}{{\pi}^{0.5}} + t\_0\right)
    \end{array}
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Add Preprocessing
    3. Taylor expanded in cosTheta around 0

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \color{blue}{\left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + -1 \cdot \left(cosTheta \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}\right)}\right)\right) \]
    4. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right)\right)\right) \]
      2. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \color{blue}{cosTheta}\right)\right)\right) \]
      3. distribute-rgt1-inN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(-1 \cdot cosTheta + 1\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      4. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(1 + -1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      5. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + -1 \cdot cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      6. mul-1-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + \left(\mathsf{neg}\left(cosTheta\right)\right)\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      7. unsub-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 - cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      8. --lowering--.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      9. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\left(\frac{1}{\mathsf{PI}\left(\right)}\right)\right)\right), cosTheta\right)\right)\right) \]
      10. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
      11. PI-lowering-PI.f3295.1%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
    5. Simplified95.1%

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}}{cosTheta}}} \]
    6. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \color{blue}{\left(1 + c\right)}\right)\right) \]
      2. flip-+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \frac{1 \cdot 1 - c \cdot c}{\color{blue}{1 - c}}\right)\right) \]
      3. frac-addN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)}{\color{blue}{cosTheta \cdot \left(1 - c\right)}}\right)\right) \]
      4. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{/.f32}\left(\left(\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)\right), \color{blue}{\left(cosTheta \cdot \left(1 - c\right)\right)}\right)\right) \]
    7. Applied egg-rr95.1%

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{1 - cosTheta}{{\pi}^{0.5}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)}{cosTheta \cdot \left(1 - c\right)}}} \]
    8. Step-by-step derivation
      1. clear-numN/A

        \[\leadsto \frac{cosTheta \cdot \left(1 - c\right)}{\color{blue}{\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)}} \]
      2. flip-+N/A

        \[\leadsto \frac{cosTheta \cdot \left(1 - c\right)}{\frac{\left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) \cdot \left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) - \left(cosTheta \cdot \left(1 - c \cdot c\right)\right) \cdot \left(cosTheta \cdot \left(1 - c \cdot c\right)\right)}{\color{blue}{\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) - cosTheta \cdot \left(1 - c \cdot c\right)}}} \]
      3. associate-/r/N/A

        \[\leadsto \frac{cosTheta \cdot \left(1 - c\right)}{\left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) \cdot \left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) - \left(cosTheta \cdot \left(1 - c \cdot c\right)\right) \cdot \left(cosTheta \cdot \left(1 - c \cdot c\right)\right)} \cdot \color{blue}{\left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) - cosTheta \cdot \left(1 - c \cdot c\right)\right)} \]
      4. *-lowering-*.f32N/A

        \[\leadsto \mathsf{*.f32}\left(\left(\frac{cosTheta \cdot \left(1 - c\right)}{\left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) \cdot \left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) - \left(cosTheta \cdot \left(1 - c \cdot c\right)\right) \cdot \left(cosTheta \cdot \left(1 - c \cdot c\right)\right)}\right), \color{blue}{\left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) - cosTheta \cdot \left(1 - c \cdot c\right)\right)}\right) \]
    9. Applied egg-rr96.2%

      \[\leadsto \color{blue}{\frac{cosTheta \cdot \left(1 - c\right)}{\frac{\left(\left(1 - cosTheta\right) \cdot \left(1 - c\right)\right) \cdot \left(\left(1 - cosTheta\right) \cdot \left(1 - c\right)\right)}{\pi} - cosTheta \cdot \left(\left(1 - c \cdot c\right) \cdot \left(cosTheta \cdot \left(1 - c \cdot c\right)\right)\right)} \cdot \left(\frac{\left(1 - cosTheta\right) \cdot \left(1 - c\right)}{{\pi}^{0.5}} - cosTheta \cdot \left(1 - c \cdot c\right)\right)} \]
    10. Final simplification96.2%

      \[\leadsto \frac{cosTheta \cdot \left(1 - c\right)}{\frac{\left(\left(1 - c\right) \cdot \left(1 - cosTheta\right)\right) \cdot \left(\left(1 - c\right) \cdot \left(1 - cosTheta\right)\right)}{\pi} + cosTheta \cdot \left(\left(1 - c \cdot c\right) \cdot \left(cosTheta \cdot \left(c \cdot c + -1\right)\right)\right)} \cdot \left(\frac{\left(1 - c\right) \cdot \left(1 - cosTheta\right)}{{\pi}^{0.5}} + cosTheta \cdot \left(c \cdot c + -1\right)\right) \]
    11. Add Preprocessing

    Alternative 8: 95.8% accurate, 2.6× speedup?

    \[\begin{array}{l} \\ cosTheta \cdot \left(\left(1 - c\right) \cdot \frac{1}{cosTheta \cdot \left(1 - c \cdot c\right) + \frac{\left(1 - c\right) \cdot \left(1 - cosTheta\right)}{{\pi}^{0.5}}}\right) \end{array} \]
    (FPCore (cosTheta c)
     :precision binary32
     (*
      cosTheta
      (*
       (- 1.0 c)
       (/
        1.0
        (+
         (* cosTheta (- 1.0 (* c c)))
         (/ (* (- 1.0 c) (- 1.0 cosTheta)) (pow PI 0.5)))))))
    float code(float cosTheta, float c) {
    	return cosTheta * ((1.0f - c) * (1.0f / ((cosTheta * (1.0f - (c * c))) + (((1.0f - c) * (1.0f - cosTheta)) / powf(((float) M_PI), 0.5f)))));
    }
    
    function code(cosTheta, c)
    	return Float32(cosTheta * Float32(Float32(Float32(1.0) - c) * Float32(Float32(1.0) / Float32(Float32(cosTheta * Float32(Float32(1.0) - Float32(c * c))) + Float32(Float32(Float32(Float32(1.0) - c) * Float32(Float32(1.0) - cosTheta)) / (Float32(pi) ^ Float32(0.5)))))))
    end
    
    function tmp = code(cosTheta, c)
    	tmp = cosTheta * ((single(1.0) - c) * (single(1.0) / ((cosTheta * (single(1.0) - (c * c))) + (((single(1.0) - c) * (single(1.0) - cosTheta)) / (single(pi) ^ single(0.5))))));
    end
    
    \begin{array}{l}
    
    \\
    cosTheta \cdot \left(\left(1 - c\right) \cdot \frac{1}{cosTheta \cdot \left(1 - c \cdot c\right) + \frac{\left(1 - c\right) \cdot \left(1 - cosTheta\right)}{{\pi}^{0.5}}}\right)
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Add Preprocessing
    3. Taylor expanded in cosTheta around 0

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \color{blue}{\left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + -1 \cdot \left(cosTheta \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}\right)}\right)\right) \]
    4. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right)\right)\right) \]
      2. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \color{blue}{cosTheta}\right)\right)\right) \]
      3. distribute-rgt1-inN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(-1 \cdot cosTheta + 1\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      4. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(1 + -1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      5. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + -1 \cdot cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      6. mul-1-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + \left(\mathsf{neg}\left(cosTheta\right)\right)\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      7. unsub-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 - cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      8. --lowering--.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      9. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\left(\frac{1}{\mathsf{PI}\left(\right)}\right)\right)\right), cosTheta\right)\right)\right) \]
      10. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
      11. PI-lowering-PI.f3295.1%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
    5. Simplified95.1%

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}}{cosTheta}}} \]
    6. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \color{blue}{\left(1 + c\right)}\right)\right) \]
      2. flip-+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \frac{1 \cdot 1 - c \cdot c}{\color{blue}{1 - c}}\right)\right) \]
      3. frac-addN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)}{\color{blue}{cosTheta \cdot \left(1 - c\right)}}\right)\right) \]
      4. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{/.f32}\left(\left(\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)\right), \color{blue}{\left(cosTheta \cdot \left(1 - c\right)\right)}\right)\right) \]
    7. Applied egg-rr95.1%

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{1 - cosTheta}{{\pi}^{0.5}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)}{cosTheta \cdot \left(1 - c\right)}}} \]
    8. Step-by-step derivation
      1. associate-/r/N/A

        \[\leadsto \frac{1}{\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)} \cdot \color{blue}{\left(cosTheta \cdot \left(1 - c\right)\right)} \]
      2. *-commutativeN/A

        \[\leadsto \frac{1}{\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)} \cdot \left(\left(1 - c\right) \cdot \color{blue}{cosTheta}\right) \]
      3. associate-*r*N/A

        \[\leadsto \left(\frac{1}{\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)} \cdot \left(1 - c\right)\right) \cdot \color{blue}{cosTheta} \]
      4. *-lowering-*.f32N/A

        \[\leadsto \mathsf{*.f32}\left(\left(\frac{1}{\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)} \cdot \left(1 - c\right)\right), \color{blue}{cosTheta}\right) \]
    9. Applied egg-rr95.9%

      \[\leadsto \color{blue}{\left(\frac{1}{\frac{\left(1 - cosTheta\right) \cdot \left(1 - c\right)}{{\pi}^{0.5}} + cosTheta \cdot \left(1 - c \cdot c\right)} \cdot \left(1 - c\right)\right) \cdot cosTheta} \]
    10. Final simplification95.9%

      \[\leadsto cosTheta \cdot \left(\left(1 - c\right) \cdot \frac{1}{cosTheta \cdot \left(1 - c \cdot c\right) + \frac{\left(1 - c\right) \cdot \left(1 - cosTheta\right)}{{\pi}^{0.5}}}\right) \]
    11. Add Preprocessing

    Alternative 9: 95.5% accurate, 2.6× speedup?

    \[\begin{array}{l} \\ cosTheta \cdot \frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}} - cosTheta}{\frac{\left(1 - cosTheta\right) \cdot \left(1 - cosTheta\right)}{\pi} - cosTheta \cdot cosTheta} \end{array} \]
    (FPCore (cosTheta c)
     :precision binary32
     (*
      cosTheta
      (/
       (- (* (- 1.0 cosTheta) (sqrt (/ 1.0 PI))) cosTheta)
       (- (/ (* (- 1.0 cosTheta) (- 1.0 cosTheta)) PI) (* cosTheta cosTheta)))))
    float code(float cosTheta, float c) {
    	return cosTheta * ((((1.0f - cosTheta) * sqrtf((1.0f / ((float) M_PI)))) - cosTheta) / ((((1.0f - cosTheta) * (1.0f - cosTheta)) / ((float) M_PI)) - (cosTheta * cosTheta)));
    }
    
    function code(cosTheta, c)
    	return Float32(cosTheta * Float32(Float32(Float32(Float32(Float32(1.0) - cosTheta) * sqrt(Float32(Float32(1.0) / Float32(pi)))) - cosTheta) / Float32(Float32(Float32(Float32(Float32(1.0) - cosTheta) * Float32(Float32(1.0) - cosTheta)) / Float32(pi)) - Float32(cosTheta * cosTheta))))
    end
    
    function tmp = code(cosTheta, c)
    	tmp = cosTheta * ((((single(1.0) - cosTheta) * sqrt((single(1.0) / single(pi)))) - cosTheta) / ((((single(1.0) - cosTheta) * (single(1.0) - cosTheta)) / single(pi)) - (cosTheta * cosTheta)));
    end
    
    \begin{array}{l}
    
    \\
    cosTheta \cdot \frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}} - cosTheta}{\frac{\left(1 - cosTheta\right) \cdot \left(1 - cosTheta\right)}{\pi} - cosTheta \cdot cosTheta}
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Add Preprocessing
    3. Taylor expanded in cosTheta around 0

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \color{blue}{\left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + -1 \cdot \left(cosTheta \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}\right)}\right)\right) \]
    4. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right)\right)\right) \]
      2. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \color{blue}{cosTheta}\right)\right)\right) \]
      3. distribute-rgt1-inN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(-1 \cdot cosTheta + 1\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      4. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(1 + -1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      5. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + -1 \cdot cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      6. mul-1-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + \left(\mathsf{neg}\left(cosTheta\right)\right)\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      7. unsub-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 - cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      8. --lowering--.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      9. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\left(\frac{1}{\mathsf{PI}\left(\right)}\right)\right)\right), cosTheta\right)\right)\right) \]
      10. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
      11. PI-lowering-PI.f3295.1%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
    5. Simplified95.1%

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}}{cosTheta}}} \]
    6. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \color{blue}{\left(1 + c\right)}\right)\right) \]
      2. flip-+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \frac{1 \cdot 1 - c \cdot c}{\color{blue}{1 - c}}\right)\right) \]
      3. frac-addN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)}{\color{blue}{cosTheta \cdot \left(1 - c\right)}}\right)\right) \]
      4. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{/.f32}\left(\left(\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)\right), \color{blue}{\left(cosTheta \cdot \left(1 - c\right)\right)}\right)\right) \]
    7. Applied egg-rr95.1%

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{1 - cosTheta}{{\pi}^{0.5}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)}{cosTheta \cdot \left(1 - c\right)}}} \]
    8. Step-by-step derivation
      1. flip-+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{/.f32}\left(\left(\frac{\left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) \cdot \left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) - \left(cosTheta \cdot \left(1 - c \cdot c\right)\right) \cdot \left(cosTheta \cdot \left(1 - c \cdot c\right)\right)}{\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) - cosTheta \cdot \left(1 - c \cdot c\right)}\right), \mathsf{*.f32}\left(\color{blue}{cosTheta}, \mathsf{\_.f32}\left(1, c\right)\right)\right)\right) \]
      2. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{/.f32}\left(\mathsf{/.f32}\left(\left(\left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) \cdot \left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right)\right) - \left(cosTheta \cdot \left(1 - c \cdot c\right)\right) \cdot \left(cosTheta \cdot \left(1 - c \cdot c\right)\right)\right), \left(\frac{1 - cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{1}{2}}} \cdot \left(1 - c\right) - cosTheta \cdot \left(1 - c \cdot c\right)\right)\right), \mathsf{*.f32}\left(\color{blue}{cosTheta}, \mathsf{\_.f32}\left(1, c\right)\right)\right)\right) \]
    9. Applied egg-rr95.4%

      \[\leadsto \frac{1}{\frac{\color{blue}{\frac{\frac{\left(\left(1 - cosTheta\right) \cdot \left(1 - c\right)\right) \cdot \left(\left(1 - cosTheta\right) \cdot \left(1 - c\right)\right)}{\pi} - cosTheta \cdot \left(\left(1 - c \cdot c\right) \cdot \left(cosTheta \cdot \left(1 - c \cdot c\right)\right)\right)}{\frac{\left(1 - cosTheta\right) \cdot \left(1 - c\right)}{{\pi}^{0.5}} - cosTheta \cdot \left(1 - c \cdot c\right)}}}{cosTheta \cdot \left(1 - c\right)}} \]
    10. Taylor expanded in c around 0

      \[\leadsto \color{blue}{\frac{cosTheta \cdot \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right) - cosTheta\right)}{\frac{{\left(1 - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}}} \]
    11. Step-by-step derivation
      1. associate-/l*N/A

        \[\leadsto cosTheta \cdot \color{blue}{\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right) - cosTheta}{\frac{{\left(1 - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}}} \]
      2. *-lowering-*.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \color{blue}{\left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right) - cosTheta}{\frac{{\left(1 - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}}\right)}\right) \]
      3. /-lowering-/.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right) - cosTheta\right), \color{blue}{\left(\frac{{\left(1 - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}\right)}\right)\right) \]
      4. --lowering--.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\mathsf{\_.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right)\right), cosTheta\right), \left(\color{blue}{\frac{{\left(1 - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)}} - {cosTheta}^{2}\right)\right)\right) \]
      5. *-lowering-*.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\mathsf{\_.f32}\left(\mathsf{*.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \left(1 - cosTheta\right)\right), cosTheta\right), \left(\frac{\color{blue}{{\left(1 - cosTheta\right)}^{2}}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}\right)\right)\right) \]
      6. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\mathsf{\_.f32}\left(\mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\left(\frac{1}{\mathsf{PI}\left(\right)}\right)\right), \left(1 - cosTheta\right)\right), cosTheta\right), \left(\frac{{\color{blue}{\left(1 - cosTheta\right)}}^{2}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}\right)\right)\right) \]
      7. /-lowering-/.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\mathsf{\_.f32}\left(\mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI}\left(\right)\right)\right), \left(1 - cosTheta\right)\right), cosTheta\right), \left(\frac{{\left(\color{blue}{1} - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}\right)\right)\right) \]
      8. PI-lowering-PI.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\mathsf{\_.f32}\left(\mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right), \left(1 - cosTheta\right)\right), cosTheta\right), \left(\frac{{\left(1 - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}\right)\right)\right) \]
      9. --lowering--.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\mathsf{\_.f32}\left(\mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right), \mathsf{\_.f32}\left(1, cosTheta\right)\right), cosTheta\right), \left(\frac{{\left(1 - cosTheta\right)}^{\color{blue}{2}}}{\mathsf{PI}\left(\right)} - {cosTheta}^{2}\right)\right)\right) \]
      10. --lowering--.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{/.f32}\left(\mathsf{\_.f32}\left(\mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right), \mathsf{\_.f32}\left(1, cosTheta\right)\right), cosTheta\right), \mathsf{\_.f32}\left(\left(\frac{{\left(1 - cosTheta\right)}^{2}}{\mathsf{PI}\left(\right)}\right), \color{blue}{\left({cosTheta}^{2}\right)}\right)\right)\right) \]
    12. Simplified95.8%

      \[\leadsto \color{blue}{cosTheta \cdot \frac{\sqrt{\frac{1}{\pi}} \cdot \left(1 - cosTheta\right) - cosTheta}{\frac{\left(1 - cosTheta\right) \cdot \left(1 - cosTheta\right)}{\pi} - cosTheta \cdot cosTheta}} \]
    13. Final simplification95.8%

      \[\leadsto cosTheta \cdot \frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}} - cosTheta}{\frac{\left(1 - cosTheta\right) \cdot \left(1 - cosTheta\right)}{\pi} - cosTheta \cdot cosTheta} \]
    14. Add Preprocessing

    Alternative 10: 95.7% accurate, 2.8× speedup?

    \[\begin{array}{l} \\ \frac{1}{\frac{1 - cosTheta}{cosTheta \cdot \sqrt{\pi}} + \left(1 + c\right)} \end{array} \]
    (FPCore (cosTheta c)
     :precision binary32
     (/ 1.0 (+ (/ (- 1.0 cosTheta) (* cosTheta (sqrt PI))) (+ 1.0 c))))
    float code(float cosTheta, float c) {
    	return 1.0f / (((1.0f - cosTheta) / (cosTheta * sqrtf(((float) M_PI)))) + (1.0f + c));
    }
    
    function code(cosTheta, c)
    	return Float32(Float32(1.0) / Float32(Float32(Float32(Float32(1.0) - cosTheta) / Float32(cosTheta * sqrt(Float32(pi)))) + Float32(Float32(1.0) + c)))
    end
    
    function tmp = code(cosTheta, c)
    	tmp = single(1.0) / (((single(1.0) - cosTheta) / (cosTheta * sqrt(single(pi)))) + (single(1.0) + c));
    end
    
    \begin{array}{l}
    
    \\
    \frac{1}{\frac{1 - cosTheta}{cosTheta \cdot \sqrt{\pi}} + \left(1 + c\right)}
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Add Preprocessing
    3. Taylor expanded in cosTheta around 0

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \color{blue}{\left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + -1 \cdot \left(cosTheta \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}\right)}\right)\right) \]
    4. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right)\right)\right) \]
      2. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \color{blue}{cosTheta}\right)\right)\right) \]
      3. distribute-rgt1-inN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(-1 \cdot cosTheta + 1\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      4. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(1 + -1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      5. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + -1 \cdot cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      6. mul-1-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + \left(\mathsf{neg}\left(cosTheta\right)\right)\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      7. unsub-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 - cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      8. --lowering--.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      9. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\left(\frac{1}{\mathsf{PI}\left(\right)}\right)\right)\right), cosTheta\right)\right)\right) \]
      10. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
      11. PI-lowering-PI.f3295.1%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
    5. Simplified95.1%

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}}{cosTheta}}} \]
    6. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \color{blue}{\left(1 + c\right)}\right)\right) \]
      2. associate-+r+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + 1\right) + \color{blue}{c}\right)\right) \]
      3. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + 1\right), \color{blue}{c}\right)\right) \]
      4. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right), 1\right), c\right)\right) \]
      5. associate-/l*N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\left(\left(1 - cosTheta\right) \cdot \frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right), 1\right), c\right)\right) \]
      6. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\left(1 - cosTheta\right), \left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right)\right), 1\right), c\right)\right) \]
      7. --lowering--.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right)\right), 1\right), c\right)\right) \]
      8. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right), 1\right), c\right)\right) \]
      9. pow1/2N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(\left({\left(\frac{1}{\mathsf{PI}\left(\right)}\right)}^{\frac{1}{2}}\right), cosTheta\right)\right), 1\right), c\right)\right) \]
      10. inv-powN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(\left({\left({\mathsf{PI}\left(\right)}^{-1}\right)}^{\frac{1}{2}}\right), cosTheta\right)\right), 1\right), c\right)\right) \]
      11. pow-powN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(\left({\mathsf{PI}\left(\right)}^{\left(-1 \cdot \frac{1}{2}\right)}\right), cosTheta\right)\right), 1\right), c\right)\right) \]
      12. pow-lowering-pow.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{PI}\left(\right), \left(-1 \cdot \frac{1}{2}\right)\right), cosTheta\right)\right), 1\right), c\right)\right) \]
      13. PI-lowering-PI.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{PI.f32}\left(\right), \left(-1 \cdot \frac{1}{2}\right)\right), cosTheta\right)\right), 1\right), c\right)\right) \]
      14. metadata-eval95.1%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(\mathsf{pow.f32}\left(\mathsf{PI.f32}\left(\right), \frac{-1}{2}\right), cosTheta\right)\right), 1\right), c\right)\right) \]
    7. Applied egg-rr95.1%

      \[\leadsto \frac{1}{\color{blue}{\left(\left(1 - cosTheta\right) \cdot \frac{{\pi}^{-0.5}}{cosTheta} + 1\right) + c}} \]
    8. Step-by-step derivation
      1. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(\left(1 - cosTheta\right) \cdot \frac{{\mathsf{PI}\left(\right)}^{\frac{-1}{2}}}{cosTheta} + 1\right) + c\right)}\right) \]
      2. associate-+l+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\left(1 - cosTheta\right) \cdot \frac{{\mathsf{PI}\left(\right)}^{\frac{-1}{2}}}{cosTheta} + \color{blue}{\left(1 + c\right)}\right)\right) \]
      3. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\left(\left(1 - cosTheta\right) \cdot \frac{{\mathsf{PI}\left(\right)}^{\frac{-1}{2}}}{cosTheta}\right), \color{blue}{\left(1 + c\right)}\right)\right) \]
      4. clear-numN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\left(\left(1 - cosTheta\right) \cdot \frac{1}{\frac{cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{-1}{2}}}}\right), \left(1 + c\right)\right)\right) \]
      5. un-div-invN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\left(\frac{1 - cosTheta}{\frac{cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{-1}{2}}}}\right), \left(\color{blue}{1} + c\right)\right)\right) \]
      6. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\left(1 - cosTheta\right), \left(\frac{cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{-1}{2}}}\right)\right), \left(\color{blue}{1} + c\right)\right)\right) \]
      7. --lowering--.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \left(\frac{cosTheta}{{\mathsf{PI}\left(\right)}^{\frac{-1}{2}}}\right)\right), \left(1 + c\right)\right)\right) \]
      8. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(cosTheta, \left({\mathsf{PI}\left(\right)}^{\frac{-1}{2}}\right)\right)\right), \left(1 + c\right)\right)\right) \]
      9. pow-lowering-pow.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(cosTheta, \mathsf{pow.f32}\left(\mathsf{PI}\left(\right), \frac{-1}{2}\right)\right)\right), \left(1 + c\right)\right)\right) \]
      10. PI-lowering-PI.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(cosTheta, \mathsf{pow.f32}\left(\mathsf{PI.f32}\left(\right), \frac{-1}{2}\right)\right)\right), \left(1 + c\right)\right)\right) \]
      11. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(cosTheta, \mathsf{pow.f32}\left(\mathsf{PI.f32}\left(\right), \frac{-1}{2}\right)\right)\right), \left(c + \color{blue}{1}\right)\right)\right) \]
      12. +-lowering-+.f3295.1%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{/.f32}\left(cosTheta, \mathsf{pow.f32}\left(\mathsf{PI.f32}\left(\right), \frac{-1}{2}\right)\right)\right), \mathsf{+.f32}\left(c, \color{blue}{1}\right)\right)\right) \]
    9. Applied egg-rr95.1%

      \[\leadsto \color{blue}{\frac{1}{\frac{1 - cosTheta}{\frac{cosTheta}{{\pi}^{-0.5}}} + \left(c + 1\right)}} \]
    10. Taylor expanded in cosTheta around 0

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \color{blue}{\left(cosTheta \cdot \sqrt{\mathsf{PI}\left(\right)}\right)}\right), \mathsf{+.f32}\left(c, 1\right)\right)\right) \]
    11. Step-by-step derivation
      1. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{*.f32}\left(cosTheta, \left(\sqrt{\mathsf{PI}\left(\right)}\right)\right)\right), \mathsf{+.f32}\left(c, 1\right)\right)\right) \]
      2. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{*.f32}\left(cosTheta, \mathsf{sqrt.f32}\left(\mathsf{PI}\left(\right)\right)\right)\right), \mathsf{+.f32}\left(c, 1\right)\right)\right) \]
      3. PI-lowering-PI.f3295.8%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{/.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{*.f32}\left(cosTheta, \mathsf{sqrt.f32}\left(\mathsf{PI.f32}\left(\right)\right)\right)\right), \mathsf{+.f32}\left(c, 1\right)\right)\right) \]
    12. Simplified95.8%

      \[\leadsto \frac{1}{\frac{1 - cosTheta}{\color{blue}{cosTheta \cdot \sqrt{\pi}}} + \left(c + 1\right)} \]
    13. Final simplification95.8%

      \[\leadsto \frac{1}{\frac{1 - cosTheta}{cosTheta \cdot \sqrt{\pi}} + \left(1 + c\right)} \]
    14. Add Preprocessing

    Alternative 11: 95.0% accurate, 2.9× speedup?

    \[\begin{array}{l} \\ \frac{cosTheta}{cosTheta + \left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}} \end{array} \]
    (FPCore (cosTheta c)
     :precision binary32
     (/ cosTheta (+ cosTheta (* (- 1.0 cosTheta) (sqrt (/ 1.0 PI))))))
    float code(float cosTheta, float c) {
    	return cosTheta / (cosTheta + ((1.0f - cosTheta) * sqrtf((1.0f / ((float) M_PI)))));
    }
    
    function code(cosTheta, c)
    	return Float32(cosTheta / Float32(cosTheta + Float32(Float32(Float32(1.0) - cosTheta) * sqrt(Float32(Float32(1.0) / Float32(pi))))))
    end
    
    function tmp = code(cosTheta, c)
    	tmp = cosTheta / (cosTheta + ((single(1.0) - cosTheta) * sqrt((single(1.0) / single(pi)))));
    end
    
    \begin{array}{l}
    
    \\
    \frac{cosTheta}{cosTheta + \left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}}
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Add Preprocessing
    3. Taylor expanded in cosTheta around 0

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \color{blue}{\left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + -1 \cdot \left(cosTheta \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}\right)}\right)\right) \]
    4. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \left(\frac{\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta}\right)\right)\right) \]
      2. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(-1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \color{blue}{cosTheta}\right)\right)\right) \]
      3. distribute-rgt1-inN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(-1 \cdot cosTheta + 1\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      4. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\left(\left(1 + -1 \cdot cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), cosTheta\right)\right)\right) \]
      5. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + -1 \cdot cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      6. mul-1-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 + \left(\mathsf{neg}\left(cosTheta\right)\right)\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      7. unsub-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\left(1 - cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      8. --lowering--.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), cosTheta\right)\right)\right) \]
      9. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\left(\frac{1}{\mathsf{PI}\left(\right)}\right)\right)\right), cosTheta\right)\right)\right) \]
      10. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
      11. PI-lowering-PI.f3295.1%

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(\mathsf{+.f32}\left(1, c\right), \mathsf{/.f32}\left(\mathsf{*.f32}\left(\mathsf{\_.f32}\left(1, cosTheta\right), \mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right)\right), cosTheta\right)\right)\right) \]
    5. Simplified95.1%

      \[\leadsto \frac{1}{\left(1 + c\right) + \color{blue}{\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}}{cosTheta}}} \]
    6. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \color{blue}{\left(1 + c\right)}\right)\right) \]
      2. flip-+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}{cosTheta} + \frac{1 \cdot 1 - c \cdot c}{\color{blue}{1 - c}}\right)\right) \]
      3. frac-addN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\frac{\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)}{\color{blue}{cosTheta \cdot \left(1 - c\right)}}\right)\right) \]
      4. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{/.f32}\left(\left(\left(\left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot \left(1 - c\right) + cosTheta \cdot \left(1 \cdot 1 - c \cdot c\right)\right), \color{blue}{\left(cosTheta \cdot \left(1 - c\right)\right)}\right)\right) \]
    7. Applied egg-rr95.1%

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{1 - cosTheta}{{\pi}^{0.5}} \cdot \left(1 - c\right) + cosTheta \cdot \left(1 - c \cdot c\right)}{cosTheta \cdot \left(1 - c\right)}}} \]
    8. Taylor expanded in c around 0

      \[\leadsto \color{blue}{\frac{cosTheta}{cosTheta + \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right)}} \]
    9. Step-by-step derivation
      1. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(cosTheta, \color{blue}{\left(cosTheta + \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right)\right)}\right) \]
      2. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(cosTheta, \mathsf{+.f32}\left(cosTheta, \color{blue}{\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \left(1 - cosTheta\right)\right)}\right)\right) \]
      3. *-lowering-*.f32N/A

        \[\leadsto \mathsf{/.f32}\left(cosTheta, \mathsf{+.f32}\left(cosTheta, \mathsf{*.f32}\left(\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \color{blue}{\left(1 - cosTheta\right)}\right)\right)\right) \]
      4. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{/.f32}\left(cosTheta, \mathsf{+.f32}\left(cosTheta, \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\left(\frac{1}{\mathsf{PI}\left(\right)}\right)\right), \left(\color{blue}{1} - cosTheta\right)\right)\right)\right) \]
      5. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(cosTheta, \mathsf{+.f32}\left(cosTheta, \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI}\left(\right)\right)\right), \left(1 - cosTheta\right)\right)\right)\right) \]
      6. PI-lowering-PI.f32N/A

        \[\leadsto \mathsf{/.f32}\left(cosTheta, \mathsf{+.f32}\left(cosTheta, \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right), \left(1 - cosTheta\right)\right)\right)\right) \]
      7. --lowering--.f3295.3%

        \[\leadsto \mathsf{/.f32}\left(cosTheta, \mathsf{+.f32}\left(cosTheta, \mathsf{*.f32}\left(\mathsf{sqrt.f32}\left(\mathsf{/.f32}\left(1, \mathsf{PI.f32}\left(\right)\right)\right), \mathsf{\_.f32}\left(1, \color{blue}{cosTheta}\right)\right)\right)\right) \]
    10. Simplified95.3%

      \[\leadsto \color{blue}{\frac{cosTheta}{cosTheta + \sqrt{\frac{1}{\pi}} \cdot \left(1 - cosTheta\right)}} \]
    11. Final simplification95.3%

      \[\leadsto \frac{cosTheta}{cosTheta + \left(1 - cosTheta\right) \cdot \sqrt{\frac{1}{\pi}}} \]
    12. Add Preprocessing

    Alternative 12: 92.9% accurate, 3.1× speedup?

    \[\begin{array}{l} \\ cosTheta \cdot \sqrt{\pi} \end{array} \]
    (FPCore (cosTheta c) :precision binary32 (* cosTheta (sqrt PI)))
    float code(float cosTheta, float c) {
    	return cosTheta * sqrtf(((float) M_PI));
    }
    
    function code(cosTheta, c)
    	return Float32(cosTheta * sqrt(Float32(pi)))
    end
    
    function tmp = code(cosTheta, c)
    	tmp = cosTheta * sqrt(single(pi));
    end
    
    \begin{array}{l}
    
    \\
    cosTheta \cdot \sqrt{\pi}
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Step-by-step derivation
      1. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
      3. associate-+l+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
      4. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
      5. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
      6. *-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
      8. distribute-lft-neg-outN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
      9. exp-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
    3. Simplified98.4%

      \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
    4. Add Preprocessing
    5. Taylor expanded in cosTheta around 0

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

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \color{blue}{\left(\sqrt{\mathsf{PI}\left(\right)}\right)}\right) \]
      2. sqrt-lowering-sqrt.f32N/A

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{sqrt.f32}\left(\mathsf{PI}\left(\right)\right)\right) \]
      3. PI-lowering-PI.f3293.1%

        \[\leadsto \mathsf{*.f32}\left(cosTheta, \mathsf{sqrt.f32}\left(\mathsf{PI.f32}\left(\right)\right)\right) \]
    7. Simplified93.1%

      \[\leadsto \color{blue}{cosTheta \cdot \sqrt{\pi}} \]
    8. Add Preprocessing

    Alternative 13: 10.7% accurate, 107.3× speedup?

    \[\begin{array}{l} \\ 1 - c \end{array} \]
    (FPCore (cosTheta c) :precision binary32 (- 1.0 c))
    float code(float cosTheta, float c) {
    	return 1.0f - c;
    }
    
    real(4) function code(costheta, c)
        real(4), intent (in) :: costheta
        real(4), intent (in) :: c
        code = 1.0e0 - c
    end function
    
    function code(cosTheta, c)
    	return Float32(Float32(1.0) - c)
    end
    
    function tmp = code(cosTheta, c)
    	tmp = single(1.0) - c;
    end
    
    \begin{array}{l}
    
    \\
    1 - c
    \end{array}
    
    Derivation
    1. Initial program 97.6%

      \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
    2. Step-by-step derivation
      1. /-lowering-/.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
      3. associate-+l+N/A

        \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
      4. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
      5. +-lowering-+.f32N/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
      6. *-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
      8. distribute-lft-neg-outN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
      9. exp-negN/A

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
    3. Simplified98.4%

      \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
    4. Add Preprocessing
    5. Taylor expanded in c around 0

      \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(1 + \left(c + \frac{1}{cosTheta \cdot e^{{cosTheta}^{2}}} \cdot \sqrt{\frac{1 + -2 \cdot cosTheta}{\mathsf{PI}\left(\right)}}\right)\right)}\right) \]
    6. Simplified97.7%

      \[\leadsto \frac{1}{\color{blue}{1 + \left(c + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}\right)}} \]
    7. Taylor expanded in c around inf

      \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \color{blue}{c}\right)\right) \]
    8. Step-by-step derivation
      1. Simplified10.7%

        \[\leadsto \frac{1}{1 + \color{blue}{c}} \]
      2. Taylor expanded in c around 0

        \[\leadsto \color{blue}{1 + -1 \cdot c} \]
      3. Step-by-step derivation
        1. mul-1-negN/A

          \[\leadsto 1 + \left(\mathsf{neg}\left(c\right)\right) \]
        2. sub-negN/A

          \[\leadsto 1 - \color{blue}{c} \]
        3. --lowering--.f3210.7%

          \[\leadsto \mathsf{\_.f32}\left(1, \color{blue}{c}\right) \]
      4. Simplified10.7%

        \[\leadsto \color{blue}{1 - c} \]
      5. Add Preprocessing

      Alternative 14: 10.7% accurate, 322.0× speedup?

      \[\begin{array}{l} \\ 1 \end{array} \]
      (FPCore (cosTheta c) :precision binary32 1.0)
      float code(float cosTheta, float c) {
      	return 1.0f;
      }
      
      real(4) function code(costheta, c)
          real(4), intent (in) :: costheta
          real(4), intent (in) :: c
          code = 1.0e0
      end function
      
      function code(cosTheta, c)
      	return Float32(1.0)
      end
      
      function tmp = code(cosTheta, c)
      	tmp = single(1.0);
      end
      
      \begin{array}{l}
      
      \\
      1
      \end{array}
      
      Derivation
      1. Initial program 97.6%

        \[\frac{1}{\left(1 + c\right) + \left(\frac{1}{\sqrt{\pi}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
      2. Step-by-step derivation
        1. /-lowering-/.f32N/A

          \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(\left(1 + c\right) + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right) \]
        2. +-commutativeN/A

          \[\leadsto \mathsf{/.f32}\left(1, \left(\left(c + 1\right) + \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)\right) \]
        3. associate-+l+N/A

          \[\leadsto \mathsf{/.f32}\left(1, \left(c + \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
        4. +-lowering-+.f32N/A

          \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \color{blue}{\left(1 + \left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right) \]
        5. +-lowering-+.f32N/A

          \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \color{blue}{\left(\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right) \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}\right)}\right)\right)\right) \]
        6. *-commutativeN/A

          \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}\right)}\right)\right)\right)\right) \]
        7. *-commutativeN/A

          \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta} \cdot \left(\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta} \cdot \color{blue}{\frac{1}{\sqrt{\mathsf{PI}\left(\right)}}}\right)\right)\right)\right)\right) \]
        8. distribute-lft-neg-outN/A

          \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(e^{\mathsf{neg}\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{\color{blue}{\sqrt{\left(1 - cosTheta\right) - cosTheta}}}{cosTheta} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
        9. exp-negN/A

          \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(c, \mathsf{+.f32}\left(1, \left(\frac{1}{e^{cosTheta \cdot cosTheta}} \cdot \left(\color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta}} \cdot \frac{1}{\sqrt{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)\right) \]
      3. Simplified98.4%

        \[\leadsto \color{blue}{\frac{1}{c + \left(1 + \frac{\sqrt{1 + cosTheta \cdot -2}}{e^{cosTheta \cdot cosTheta} \cdot \left(\sqrt{\pi} \cdot cosTheta\right)}\right)}} \]
      4. Add Preprocessing
      5. Taylor expanded in c around 0

        \[\leadsto \mathsf{/.f32}\left(1, \color{blue}{\left(1 + \left(c + \frac{1}{cosTheta \cdot e^{{cosTheta}^{2}}} \cdot \sqrt{\frac{1 + -2 \cdot cosTheta}{\mathsf{PI}\left(\right)}}\right)\right)}\right) \]
      6. Simplified97.7%

        \[\leadsto \frac{1}{\color{blue}{1 + \left(c + \frac{\sqrt{\frac{1 + cosTheta \cdot -2}{\pi}}}{cosTheta \cdot e^{cosTheta \cdot cosTheta}}\right)}} \]
      7. Taylor expanded in c around inf

        \[\leadsto \mathsf{/.f32}\left(1, \mathsf{+.f32}\left(1, \color{blue}{c}\right)\right) \]
      8. Step-by-step derivation
        1. Simplified10.7%

          \[\leadsto \frac{1}{1 + \color{blue}{c}} \]
        2. Taylor expanded in c around 0

          \[\leadsto \color{blue}{1} \]
        3. Step-by-step derivation
          1. Simplified10.7%

            \[\leadsto \color{blue}{1} \]
          2. Add Preprocessing

          Reproduce

          ?
          herbie shell --seed 2024191 
          (FPCore (cosTheta c)
            :name "Beckmann Sample, normalization factor"
            :precision binary32
            :pre (and (and (< 0.0 cosTheta) (< cosTheta 0.9999)) (and (< -1.0 c) (< c 1.0)))
            (/ 1.0 (+ (+ 1.0 c) (* (* (/ 1.0 (sqrt PI)) (/ (sqrt (- (- 1.0 cosTheta) cosTheta)) cosTheta)) (exp (* (- cosTheta) cosTheta))))))