Beckmann Sample, normalization factor

Percentage Accurate: 97.9% → 98.6%
Time: 12.7s
Alternatives: 13
Speedup: 1.1×

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 13 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: 97.9% 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: 98.6% accurate, 1.1× speedup?

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

\\
\frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\pi}} \cdot e^{0 - cosTheta \cdot cosTheta}}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\color{blue}{\sqrt{\mathsf{PI}\left(\right)}} \cdot cosTheta} \cdot e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}} \]
    9. PI-lowering-PI.f3298.5

      \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{\sqrt{\color{blue}{\pi}} \cdot cosTheta} \cdot e^{\left(-cosTheta\right) \cdot cosTheta}} \]
  4. Applied egg-rr98.5%

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

    \[\leadsto \frac{1}{\left(1 + c\right) + \frac{\sqrt{\left(1 - cosTheta\right) - cosTheta}}{cosTheta \cdot \sqrt{\pi}} \cdot e^{0 - cosTheta \cdot cosTheta}} \]
  6. Add Preprocessing

Alternative 2: 98.0% accurate, 1.1× speedup?

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

\\
\frac{1}{\mathsf{fma}\left(\frac{e^{0 - cosTheta \cdot cosTheta}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}{cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right)} + \left(1 + c\right)} \]
  4. Applied egg-rr98.0%

    \[\leadsto \frac{1}{\color{blue}{\mathsf{fma}\left(\frac{e^{0 - cosTheta \cdot cosTheta}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)}} \]
  5. Step-by-step derivation
    1. sub0-negN/A

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{e^{\color{blue}{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    4. neg-lowering-neg.f3298.0

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{e^{\color{blue}{\left(-cosTheta\right)} \cdot cosTheta}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  6. Applied egg-rr98.0%

    \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{e^{\color{blue}{\left(-cosTheta\right) \cdot cosTheta}}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  7. Final simplification98.0%

    \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{e^{0 - cosTheta \cdot cosTheta}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  8. Add Preprocessing

Alternative 3: 97.8% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot \mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right), -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (fma
   (/
    (fma
     (* cosTheta cosTheta)
     (fma
      cosTheta
      (* cosTheta (fma (* cosTheta cosTheta) -0.16666666666666666 0.5))
      -1.0)
     1.0)
    cosTheta)
   (sqrt (/ (- (- 1.0 cosTheta) cosTheta) PI))
   (+ 1.0 c))))
float code(float cosTheta, float c) {
	return 1.0f / fmaf((fmaf((cosTheta * cosTheta), fmaf(cosTheta, (cosTheta * fmaf((cosTheta * cosTheta), -0.16666666666666666f, 0.5f)), -1.0f), 1.0f) / cosTheta), sqrtf((((1.0f - cosTheta) - cosTheta) / ((float) M_PI))), (1.0f + c));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / fma(Float32(fma(Float32(cosTheta * cosTheta), fma(cosTheta, Float32(cosTheta * fma(Float32(cosTheta * cosTheta), Float32(-0.16666666666666666), Float32(0.5))), Float32(-1.0)), Float32(1.0)) / cosTheta), sqrt(Float32(Float32(Float32(Float32(1.0) - cosTheta) - cosTheta) / Float32(pi))), Float32(Float32(1.0) + c)))
end
\begin{array}{l}

\\
\frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot \mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right), -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}{cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right)} + \left(1 + c\right)} \]
  4. Applied egg-rr98.0%

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

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{1 + {cosTheta}^{2} \cdot \left({cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) - 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
  6. Step-by-step derivation
    1. /-lowering-/.f32N/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{1 + {cosTheta}^{2} \cdot \left({cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) - 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    2. +-commutativeN/A

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\color{blue}{\mathsf{fma}\left({cosTheta}^{2}, {cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) - 1, 1\right)}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    4. unpow2N/A

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, {cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) - 1, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    6. sub-negN/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \color{blue}{{cosTheta}^{2} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) + \left(\mathsf{neg}\left(1\right)\right)}, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    7. unpow2N/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \color{blue}{\left(cosTheta \cdot cosTheta\right)} \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right) + \left(\mathsf{neg}\left(1\right)\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    8. associate-*l*N/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \color{blue}{cosTheta \cdot \left(cosTheta \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right)\right)} + \left(\mathsf{neg}\left(1\right)\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    9. metadata-evalN/A

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, \color{blue}{cosTheta \cdot \left(\frac{1}{2} + \frac{-1}{6} \cdot {cosTheta}^{2}\right)}, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    12. +-commutativeN/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot \color{blue}{\left(\frac{-1}{6} \cdot {cosTheta}^{2} + \frac{1}{2}\right)}, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    13. *-commutativeN/A

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot \color{blue}{\mathsf{fma}\left({cosTheta}^{2}, \frac{-1}{6}, \frac{1}{2}\right)}, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    15. unpow2N/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, \frac{-1}{6}, \frac{1}{2}\right), -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    16. *-lowering-*.f3297.9

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, -0.16666666666666666, 0.5\right), -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  7. Simplified97.9%

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot \mathsf{fma}\left(cosTheta \cdot cosTheta, -0.16666666666666666, 0.5\right), -1\right), 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  8. Add Preprocessing

Alternative 4: 97.6% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}, \frac{\sqrt{\left(1 - cosTheta\right) \cdot \pi - cosTheta \cdot \pi}}{\pi}, 1 + c\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (fma
   (/
    (fma (* cosTheta cosTheta) (fma (* cosTheta cosTheta) 0.5 -1.0) 1.0)
    cosTheta)
   (/ (sqrt (- (* (- 1.0 cosTheta) PI) (* cosTheta PI))) PI)
   (+ 1.0 c))))
float code(float cosTheta, float c) {
	return 1.0f / fmaf((fmaf((cosTheta * cosTheta), fmaf((cosTheta * cosTheta), 0.5f, -1.0f), 1.0f) / cosTheta), (sqrtf((((1.0f - cosTheta) * ((float) M_PI)) - (cosTheta * ((float) M_PI)))) / ((float) M_PI)), (1.0f + c));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / fma(Float32(fma(Float32(cosTheta * cosTheta), fma(Float32(cosTheta * cosTheta), Float32(0.5), Float32(-1.0)), Float32(1.0)) / cosTheta), Float32(sqrt(Float32(Float32(Float32(Float32(1.0) - cosTheta) * Float32(pi)) - Float32(cosTheta * Float32(pi)))) / Float32(pi)), Float32(Float32(1.0) + c)))
end
\begin{array}{l}

\\
\frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}, \frac{\sqrt{\left(1 - cosTheta\right) \cdot \pi - cosTheta \cdot \pi}}{\pi}, 1 + c\right)}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}{cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right)} + \left(1 + c\right)} \]
  4. Applied egg-rr98.0%

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

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{1 + {cosTheta}^{2} \cdot \left(\frac{1}{2} \cdot {cosTheta}^{2} - 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
  6. Step-by-step derivation
    1. /-lowering-/.f32N/A

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\color{blue}{\mathsf{fma}\left({cosTheta}^{2}, \frac{1}{2} \cdot {cosTheta}^{2} - 1, 1\right)}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    4. unpow2N/A

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

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

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

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \color{blue}{\mathsf{fma}\left({cosTheta}^{2}, \frac{1}{2}, -1\right)}, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    10. unpow2N/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, \frac{1}{2}, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    11. *-lowering-*.f3297.5

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, 0.5, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  7. Simplified97.5%

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  8. Step-by-step derivation
    1. div-subN/A

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

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{1}{2}, -1\right), 1\right)}{cosTheta}, \frac{\sqrt{\left(1 - cosTheta\right) \cdot \mathsf{PI}\left(\right) - \mathsf{PI}\left(\right) \cdot cosTheta}}{\color{blue}{\sqrt{\mathsf{PI}\left(\right)} \cdot \sqrt{\mathsf{PI}\left(\right)}}}, 1 + c\right)} \]
    5. add-sqr-sqrtN/A

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, \frac{1}{2}, -1\right), 1\right)}{cosTheta}, \frac{\sqrt{\left(1 - cosTheta\right) \cdot \mathsf{PI}\left(\right) - \color{blue}{\mathsf{PI}\left(\right)} \cdot cosTheta}}{\mathsf{PI}\left(\right)}, 1 + c\right)} \]
    14. PI-lowering-PI.f3297.5

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}, \frac{\sqrt{\left(1 - cosTheta\right) \cdot \pi - \pi \cdot cosTheta}}{\color{blue}{\pi}}, 1 + c\right)} \]
  9. Applied egg-rr97.5%

    \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}, \color{blue}{\frac{\sqrt{\left(1 - cosTheta\right) \cdot \pi - \pi \cdot cosTheta}}{\pi}}, 1 + c\right)} \]
  10. Final simplification97.5%

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

Alternative 5: 97.5% accurate, 2.3× speedup?

\[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (fma
   (/
    (fma (* cosTheta cosTheta) (fma (* cosTheta cosTheta) 0.5 -1.0) 1.0)
    cosTheta)
   (sqrt (/ (- (- 1.0 cosTheta) cosTheta) PI))
   (+ 1.0 c))))
float code(float cosTheta, float c) {
	return 1.0f / fmaf((fmaf((cosTheta * cosTheta), fmaf((cosTheta * cosTheta), 0.5f, -1.0f), 1.0f) / cosTheta), sqrtf((((1.0f - cosTheta) - cosTheta) / ((float) M_PI))), (1.0f + c));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / fma(Float32(fma(Float32(cosTheta * cosTheta), fma(Float32(cosTheta * cosTheta), Float32(0.5), Float32(-1.0)), Float32(1.0)) / cosTheta), sqrt(Float32(Float32(Float32(Float32(1.0) - cosTheta) - cosTheta) / Float32(pi))), Float32(Float32(1.0) + c)))
end
\begin{array}{l}

\\
\frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}{cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right)} + \left(1 + c\right)} \]
  4. Applied egg-rr98.0%

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

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{1 + {cosTheta}^{2} \cdot \left(\frac{1}{2} \cdot {cosTheta}^{2} - 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
  6. Step-by-step derivation
    1. /-lowering-/.f32N/A

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\color{blue}{\mathsf{fma}\left({cosTheta}^{2}, \frac{1}{2} \cdot {cosTheta}^{2} - 1, 1\right)}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    4. unpow2N/A

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

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

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

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \color{blue}{\mathsf{fma}\left({cosTheta}^{2}, \frac{1}{2}, -1\right)}, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    10. unpow2N/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, \frac{1}{2}, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    11. *-lowering-*.f3297.5

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, 0.5, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  7. Simplified97.5%

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta \cdot cosTheta, 0.5, -1\right), 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  8. Add Preprocessing

Alternative 6: 97.2% accurate, 2.3× speedup?

\[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\sqrt{\frac{\mathsf{fma}\left(cosTheta, -2, 1\right)}{\pi}}, \frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot 0.5, -1\right), 1\right)}{cosTheta}, 1\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (fma
   (sqrt (/ (fma cosTheta -2.0 1.0) PI))
   (/
    (fma (* cosTheta cosTheta) (fma cosTheta (* cosTheta 0.5) -1.0) 1.0)
    cosTheta)
   1.0)))
float code(float cosTheta, float c) {
	return 1.0f / fmaf(sqrtf((fmaf(cosTheta, -2.0f, 1.0f) / ((float) M_PI))), (fmaf((cosTheta * cosTheta), fmaf(cosTheta, (cosTheta * 0.5f), -1.0f), 1.0f) / cosTheta), 1.0f);
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / fma(sqrt(Float32(fma(cosTheta, Float32(-2.0), Float32(1.0)) / Float32(pi))), Float32(fma(Float32(cosTheta * cosTheta), fma(cosTheta, Float32(cosTheta * Float32(0.5)), Float32(-1.0)), Float32(1.0)) / cosTheta), Float32(1.0)))
end
\begin{array}{l}

\\
\frac{1}{\mathsf{fma}\left(\sqrt{\frac{\mathsf{fma}\left(cosTheta, -2, 1\right)}{\pi}}, \frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot 0.5, -1\right), 1\right)}{cosTheta}, 1\right)}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}{cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right)} + \left(1 + c\right)} \]
  4. Applied egg-rr98.0%

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

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{1 + {cosTheta}^{2} \cdot \left(\frac{1}{2} \cdot {cosTheta}^{2} - 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
  6. Step-by-step derivation
    1. /-lowering-/.f32N/A

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\color{blue}{\mathsf{fma}\left({cosTheta}^{2}, \frac{1}{2} \cdot {cosTheta}^{2} - 1, 1\right)}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    4. unpow2N/A

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

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

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

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \color{blue}{\mathsf{fma}\left({cosTheta}^{2}, \frac{1}{2}, -1\right)}, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    10. unpow2N/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, \frac{1}{2}, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    11. *-lowering-*.f3297.5

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(\color{blue}{cosTheta \cdot cosTheta}, 0.5, -1\right), 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  7. Simplified97.5%

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

    \[\leadsto \color{blue}{\frac{1}{1 + \frac{1 + {cosTheta}^{2} \cdot \left(\frac{1}{2} \cdot {cosTheta}^{2} - 1\right)}{cosTheta} \cdot \sqrt{\frac{1 - 2 \cdot cosTheta}{\mathsf{PI}\left(\right)}}}} \]
  9. Step-by-step derivation
    1. /-lowering-/.f32N/A

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

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

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

      \[\leadsto \frac{1}{\color{blue}{\mathsf{fma}\left(\sqrt{\frac{1 - 2 \cdot cosTheta}{\mathsf{PI}\left(\right)}}, \frac{1 + {cosTheta}^{2} \cdot \left(\frac{1}{2} \cdot {cosTheta}^{2} - 1\right)}{cosTheta}, 1\right)}} \]
  10. Simplified96.8%

    \[\leadsto \color{blue}{\frac{1}{\mathsf{fma}\left(\sqrt{\frac{\mathsf{fma}\left(cosTheta, -2, 1\right)}{\pi}}, \frac{\mathsf{fma}\left(cosTheta \cdot cosTheta, \mathsf{fma}\left(cosTheta, cosTheta \cdot 0.5, -1\right), 1\right)}{cosTheta}, 1\right)}} \]
  11. Add Preprocessing

Alternative 7: 96.9% accurate, 2.7× speedup?

\[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta, -cosTheta, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (/
  1.0
  (fma
   (/ (fma cosTheta (- cosTheta) 1.0) cosTheta)
   (sqrt (/ (- (- 1.0 cosTheta) cosTheta) PI))
   (+ 1.0 c))))
float code(float cosTheta, float c) {
	return 1.0f / fmaf((fmaf(cosTheta, -cosTheta, 1.0f) / cosTheta), sqrtf((((1.0f - cosTheta) - cosTheta) / ((float) M_PI))), (1.0f + c));
}
function code(cosTheta, c)
	return Float32(Float32(1.0) / fma(Float32(fma(cosTheta, Float32(-cosTheta), Float32(1.0)) / cosTheta), sqrt(Float32(Float32(Float32(Float32(1.0) - cosTheta) - cosTheta) / Float32(pi))), Float32(Float32(1.0) + c)))
end
\begin{array}{l}

\\
\frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta, -cosTheta, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{e^{\left(\mathsf{neg}\left(cosTheta\right)\right) \cdot cosTheta}}{cosTheta} \cdot \color{blue}{\left(\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \sqrt{\left(1 - cosTheta\right) - cosTheta}\right)} + \left(1 + c\right)} \]
  4. Applied egg-rr98.0%

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

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{1 + -1 \cdot {cosTheta}^{2}}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
  6. Step-by-step derivation
    1. /-lowering-/.f32N/A

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\color{blue}{\left(\mathsf{neg}\left({cosTheta}^{2}\right)\right)} + 1}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    4. unpow2N/A

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

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

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

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\color{blue}{\mathsf{fma}\left(cosTheta, -1 \cdot cosTheta, 1\right)}}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    8. mul-1-negN/A

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta, \color{blue}{\mathsf{neg}\left(cosTheta\right)}, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\mathsf{PI}\left(\right)}}, 1 + c\right)} \]
    9. neg-lowering-neg.f3296.8

      \[\leadsto \frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(cosTheta, \color{blue}{-cosTheta}, 1\right)}{cosTheta}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  7. Simplified96.8%

    \[\leadsto \frac{1}{\mathsf{fma}\left(\color{blue}{\frac{\mathsf{fma}\left(cosTheta, -cosTheta, 1\right)}{cosTheta}}, \sqrt{\frac{\left(1 - cosTheta\right) - cosTheta}{\pi}}, 1 + c\right)} \]
  8. Add Preprocessing

Alternative 8: 95.6% accurate, 3.4× speedup?

\[\begin{array}{l} \\ cosTheta \cdot \mathsf{fma}\left(\mathsf{fma}\left(\pi, c - \sqrt{\frac{1}{\pi}}, \pi\right), -cosTheta, \sqrt{\pi}\right) \end{array} \]
(FPCore (cosTheta c)
 :precision binary32
 (* cosTheta (fma (fma PI (- c (sqrt (/ 1.0 PI))) PI) (- cosTheta) (sqrt PI))))
float code(float cosTheta, float c) {
	return cosTheta * fmaf(fmaf(((float) M_PI), (c - sqrtf((1.0f / ((float) M_PI)))), ((float) M_PI)), -cosTheta, sqrtf(((float) M_PI)));
}
function code(cosTheta, c)
	return Float32(cosTheta * fma(fma(Float32(pi), Float32(c - sqrt(Float32(Float32(1.0) / Float32(pi)))), Float32(pi)), Float32(-cosTheta), sqrt(Float32(pi))))
end
\begin{array}{l}

\\
cosTheta \cdot \mathsf{fma}\left(\mathsf{fma}\left(\pi, c - \sqrt{\frac{1}{\pi}}, \pi\right), -cosTheta, \sqrt{\pi}\right)
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

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

      \[\leadsto cosTheta \cdot \color{blue}{\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot \left(1 + \left(c + -1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right), -1 \cdot cosTheta, \sqrt{\mathsf{PI}\left(\right)}\right)} \]
  5. Simplified95.1%

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

Alternative 9: 95.5% accurate, 3.6× speedup?

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

\\
cosTheta \cdot \mathsf{fma}\left(cosTheta \cdot \pi, -1 + \sqrt{\frac{1}{\pi}}, \sqrt{\pi}\right)
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \color{blue}{\left(1 + c\right) + -1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}, \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}} \]
    5. mul-1-negN/A

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) + \color{blue}{\left(\mathsf{neg}\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)}, \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}} \]
    6. unsub-negN/A

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \sqrt{\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}}\right)}{cosTheta}} \]
    14. PI-lowering-PI.f3294.6

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\color{blue}{\pi}}}\right)}{cosTheta}} \]
  5. Simplified94.6%

    \[\leadsto \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\pi}}\right)}{cosTheta}}} \]
  6. Taylor expanded in c around 0

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \sqrt{\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}}\right)} \]
    10. PI-lowering-PI.f3294.3

      \[\leadsto \frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\color{blue}{\pi}}}\right)} \]
  8. Simplified94.3%

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

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

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

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

      \[\leadsto cosTheta \cdot \left(\color{blue}{\left(\mathsf{neg}\left(cosTheta \cdot \left(\mathsf{PI}\left(\right) \cdot \left(1 - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)\right)\right)} + \sqrt{\mathsf{PI}\left(\right)}\right) \]
    4. associate-*r*N/A

      \[\leadsto cosTheta \cdot \left(\left(\mathsf{neg}\left(\color{blue}{\left(cosTheta \cdot \mathsf{PI}\left(\right)\right) \cdot \left(1 - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}\right)\right) + \sqrt{\mathsf{PI}\left(\right)}\right) \]
    5. distribute-rgt-neg-inN/A

      \[\leadsto cosTheta \cdot \left(\color{blue}{\left(cosTheta \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\mathsf{neg}\left(\left(1 - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)\right)} + \sqrt{\mathsf{PI}\left(\right)}\right) \]
    6. mul-1-negN/A

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

      \[\leadsto cosTheta \cdot \color{blue}{\mathsf{fma}\left(cosTheta \cdot \mathsf{PI}\left(\right), -1 \cdot \left(1 - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right), \sqrt{\mathsf{PI}\left(\right)}\right)} \]
  11. Simplified95.0%

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

Alternative 10: 95.2% accurate, 3.7× speedup?

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

\\
\frac{1}{1 + \frac{-1 + \frac{1}{cosTheta}}{\sqrt{\pi}}}
\end{array}
Derivation
  1. Initial program 98.0%

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \color{blue}{\left(1 + c\right) + -1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}, \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}} \]
    5. mul-1-negN/A

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) + \color{blue}{\left(\mathsf{neg}\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)}, \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}} \]
    6. unsub-negN/A

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \sqrt{\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}}\right)}{cosTheta}} \]
    14. PI-lowering-PI.f3294.6

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\color{blue}{\pi}}}\right)}{cosTheta}} \]
  5. Simplified94.6%

    \[\leadsto \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\pi}}\right)}{cosTheta}}} \]
  6. Taylor expanded in c around 0

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \sqrt{\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}}\right)} \]
    10. PI-lowering-PI.f3294.3

      \[\leadsto \frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\color{blue}{\pi}}}\right)} \]
  8. Simplified94.3%

    \[\leadsto \color{blue}{\frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\pi}}\right)}} \]
  9. Taylor expanded in cosTheta around inf

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

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

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

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \color{blue}{\left(1 + \left(\frac{1}{cosTheta} \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)}} \]
    4. sub-negN/A

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \color{blue}{\left(\frac{1}{cosTheta} \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(\mathsf{neg}\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)\right)}\right)} \]
    5. mul-1-negN/A

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \left(\frac{1}{cosTheta} \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \color{blue}{-1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}\right)\right)} \]
    6. distribute-rgt-outN/A

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

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

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

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

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

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\left(\frac{1}{cosTheta} + -1\right)}\right)} \]
    12. /-lowering-/.f3294.1

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \sqrt{\frac{1}{\pi}} \cdot \left(\color{blue}{\frac{1}{cosTheta}} + -1\right)\right)} \]
  11. Simplified94.1%

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

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

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

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

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

      \[\leadsto \frac{1}{1 + \color{blue}{\left(\frac{1}{cosTheta} + -1\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}} \]
    6. sqrt-divN/A

      \[\leadsto \frac{1}{1 + \left(\frac{1}{cosTheta} + -1\right) \cdot \color{blue}{\frac{\sqrt{1}}{\sqrt{\mathsf{PI}\left(\right)}}}} \]
    7. metadata-evalN/A

      \[\leadsto \frac{1}{1 + \left(\frac{1}{cosTheta} + -1\right) \cdot \frac{\color{blue}{1}}{\sqrt{\mathsf{PI}\left(\right)}}} \]
    8. un-div-invN/A

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

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

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

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

      \[\leadsto \frac{1}{1 + \frac{\frac{1}{cosTheta} + -1}{\color{blue}{\sqrt{\mathsf{PI}\left(\right)}}}} \]
    13. PI-lowering-PI.f3294.9

      \[\leadsto \frac{1}{1 + \frac{\frac{1}{cosTheta} + -1}{\sqrt{\color{blue}{\pi}}}} \]
  13. Applied egg-rr94.9%

    \[\leadsto \color{blue}{\frac{1}{1 + \frac{\frac{1}{cosTheta} + -1}{\sqrt{\pi}}}} \]
  14. Final simplification94.9%

    \[\leadsto \frac{1}{1 + \frac{-1 + \frac{1}{cosTheta}}{\sqrt{\pi}}} \]
  15. Add Preprocessing

Alternative 11: 94.8% accurate, 4.2× 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 98.0%

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \color{blue}{\left(1 + c\right) + -1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}, \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}} \]
    5. mul-1-negN/A

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) + \color{blue}{\left(\mathsf{neg}\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)}, \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)}{cosTheta}} \]
    6. unsub-negN/A

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

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

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

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

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

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

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

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \sqrt{\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}}\right)}{cosTheta}} \]
    14. PI-lowering-PI.f3294.6

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\color{blue}{\pi}}}\right)}{cosTheta}} \]
  5. Simplified94.6%

    \[\leadsto \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(cosTheta, \left(1 + c\right) - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\pi}}\right)}{cosTheta}}} \]
  6. Taylor expanded in c around 0

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}, \sqrt{\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}}\right)} \]
    10. PI-lowering-PI.f3294.3

      \[\leadsto \frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\color{blue}{\pi}}}\right)} \]
  8. Simplified94.3%

    \[\leadsto \color{blue}{\frac{cosTheta}{\mathsf{fma}\left(cosTheta, 1 - \sqrt{\frac{1}{\pi}}, \sqrt{\frac{1}{\pi}}\right)}} \]
  9. Taylor expanded in cosTheta around inf

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

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

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

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \color{blue}{\left(1 + \left(\frac{1}{cosTheta} \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} - \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)}} \]
    4. sub-negN/A

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \color{blue}{\left(\frac{1}{cosTheta} \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \left(\mathsf{neg}\left(\sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right)\right)\right)}\right)} \]
    5. mul-1-negN/A

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \left(\frac{1}{cosTheta} \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} + \color{blue}{-1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}\right)\right)} \]
    6. distribute-rgt-outN/A

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

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

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

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

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

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \sqrt{\frac{1}{\mathsf{PI}\left(\right)}} \cdot \color{blue}{\left(\frac{1}{cosTheta} + -1\right)}\right)} \]
    12. /-lowering-/.f3294.1

      \[\leadsto \frac{cosTheta}{cosTheta \cdot \left(1 + \sqrt{\frac{1}{\pi}} \cdot \left(\color{blue}{\frac{1}{cosTheta}} + -1\right)\right)} \]
  11. Simplified94.1%

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

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

      \[\leadsto \frac{cosTheta}{\color{blue}{cosTheta \cdot \left(1 + -1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) + \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}}} \]
    2. distribute-rgt-inN/A

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

      \[\leadsto \frac{cosTheta}{\left(\color{blue}{cosTheta} + \left(-1 \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}\right) \cdot cosTheta\right) + \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}} \]
    4. associate-+l+N/A

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

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

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

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

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

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

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

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

      \[\leadsto \frac{cosTheta}{cosTheta + \color{blue}{\left(-1 \cdot cosTheta + 1\right)} \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}} \]
    13. mul-1-negN/A

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

      \[\leadsto \frac{cosTheta}{cosTheta + \left(\color{blue}{\left(\mathsf{neg}\left(cosTheta\right)\right)} + 1\right) \cdot \sqrt{\frac{1}{\mathsf{PI}\left(\right)}}} \]
  14. Simplified94.3%

    \[\leadsto \frac{cosTheta}{\color{blue}{cosTheta + \left(\left(-cosTheta\right) + 1\right) \cdot \sqrt{\frac{1}{\pi}}}} \]
  15. Final simplification94.3%

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

Alternative 12: 92.7% accurate, 11.4× 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 98.0%

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

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

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

      \[\leadsto cosTheta \cdot \color{blue}{\sqrt{\mathsf{PI}\left(\right)}} \]
    3. PI-lowering-PI.f3293.2

      \[\leadsto cosTheta \cdot \sqrt{\color{blue}{\pi}} \]
  5. Simplified93.2%

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

Alternative 13: 4.9% accurate, 15.3× speedup?

\[\begin{array}{l} \\ \frac{1}{c} \end{array} \]
(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}

\\
\frac{1}{c}
\end{array}
Derivation
  1. Initial program 98.0%

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

    \[\leadsto \frac{1}{\color{blue}{c}} \]
  4. Step-by-step derivation
    1. Simplified5.2%

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

    Reproduce

    ?
    herbie shell --seed 2024196 
    (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))))))