HairBSDF, Mp, lower

Percentage Accurate: 99.6% → 99.4%
Time: 18.2s
Alternatives: 13
Speedup: 2.1×

Specification

?
\[\left(\left(\left(\left(-1 \leq cosTheta\_i \land cosTheta\_i \leq 1\right) \land \left(-1 \leq cosTheta\_O \land cosTheta\_O \leq 1\right)\right) \land \left(-1 \leq sinTheta\_i \land sinTheta\_i \leq 1\right)\right) \land \left(-1 \leq sinTheta\_O \land sinTheta\_O \leq 1\right)\right) \land \left(-1.5707964 \leq v \land v \leq 0.1\right)\]
\[\begin{array}{l} \\ e^{\left(\left(\left(\frac{cosTheta\_i \cdot cosTheta\_O}{v} - \frac{sinTheta\_i \cdot sinTheta\_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)} \end{array} \]
(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
 :precision binary32
 (exp
  (+
   (+
    (-
     (- (/ (* cosTheta_i cosTheta_O) v) (/ (* sinTheta_i sinTheta_O) v))
     (/ 1.0 v))
    0.6931)
   (log (/ 1.0 (* 2.0 v))))))
float code(float cosTheta_i, float cosTheta_O, float sinTheta_i, float sinTheta_O, float v) {
	return expf(((((((cosTheta_i * cosTheta_O) / v) - ((sinTheta_i * sinTheta_O) / v)) - (1.0f / v)) + 0.6931f) + logf((1.0f / (2.0f * v)))));
}
real(4) function code(costheta_i, costheta_o, sintheta_i, sintheta_o, v)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: costheta_o
    real(4), intent (in) :: sintheta_i
    real(4), intent (in) :: sintheta_o
    real(4), intent (in) :: v
    code = exp(((((((costheta_i * costheta_o) / v) - ((sintheta_i * sintheta_o) / v)) - (1.0e0 / v)) + 0.6931e0) + log((1.0e0 / (2.0e0 * v)))))
end function
function code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	return exp(Float32(Float32(Float32(Float32(Float32(Float32(cosTheta_i * cosTheta_O) / v) - Float32(Float32(sinTheta_i * sinTheta_O) / v)) - Float32(Float32(1.0) / v)) + Float32(0.6931)) + log(Float32(Float32(1.0) / Float32(Float32(2.0) * v)))))
end
function tmp = code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	tmp = exp(((((((cosTheta_i * cosTheta_O) / v) - ((sinTheta_i * sinTheta_O) / v)) - (single(1.0) / v)) + single(0.6931)) + log((single(1.0) / (single(2.0) * v)))));
end
\begin{array}{l}

\\
e^{\left(\left(\left(\frac{cosTheta\_i \cdot cosTheta\_O}{v} - \frac{sinTheta\_i \cdot sinTheta\_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)}
\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: 99.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ e^{\left(\left(\left(\frac{cosTheta\_i \cdot cosTheta\_O}{v} - \frac{sinTheta\_i \cdot sinTheta\_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)} \end{array} \]
(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
 :precision binary32
 (exp
  (+
   (+
    (-
     (- (/ (* cosTheta_i cosTheta_O) v) (/ (* sinTheta_i sinTheta_O) v))
     (/ 1.0 v))
    0.6931)
   (log (/ 1.0 (* 2.0 v))))))
float code(float cosTheta_i, float cosTheta_O, float sinTheta_i, float sinTheta_O, float v) {
	return expf(((((((cosTheta_i * cosTheta_O) / v) - ((sinTheta_i * sinTheta_O) / v)) - (1.0f / v)) + 0.6931f) + logf((1.0f / (2.0f * v)))));
}
real(4) function code(costheta_i, costheta_o, sintheta_i, sintheta_o, v)
    real(4), intent (in) :: costheta_i
    real(4), intent (in) :: costheta_o
    real(4), intent (in) :: sintheta_i
    real(4), intent (in) :: sintheta_o
    real(4), intent (in) :: v
    code = exp(((((((costheta_i * costheta_o) / v) - ((sintheta_i * sintheta_o) / v)) - (1.0e0 / v)) + 0.6931e0) + log((1.0e0 / (2.0e0 * v)))))
end function
function code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	return exp(Float32(Float32(Float32(Float32(Float32(Float32(cosTheta_i * cosTheta_O) / v) - Float32(Float32(sinTheta_i * sinTheta_O) / v)) - Float32(Float32(1.0) / v)) + Float32(0.6931)) + log(Float32(Float32(1.0) / Float32(Float32(2.0) * v)))))
end
function tmp = code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	tmp = exp(((((((cosTheta_i * cosTheta_O) / v) - ((sinTheta_i * sinTheta_O) / v)) - (single(1.0) / v)) + single(0.6931)) + log((single(1.0) / (single(2.0) * v)))));
end
\begin{array}{l}

\\
e^{\left(\left(\left(\frac{cosTheta\_i \cdot cosTheta\_O}{v} - \frac{sinTheta\_i \cdot sinTheta\_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)}
\end{array}

Alternative 1: 99.4% accurate, 0.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \log \left(2 \cdot v\right)\\ t_1 := \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(t\_0 + 0.6931\right)\\ t_2 := \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right)}{v} + 0.6931\\ t_3 := \frac{t\_0}{t\_1}\\ \frac{\frac{e^{\frac{t\_2 \cdot t\_2}{t\_1}}}{{v}^{t\_3}}}{{2}^{t\_3}} \end{array} \end{array} \]
(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
 :precision binary32
 (let* ((t_0 (log (* 2.0 v)))
        (t_1
         (+
          (/ (- (fma cosTheta_i cosTheta_O -1.0) (* sinTheta_i sinTheta_O)) v)
          (+ t_0 0.6931)))
        (t_2 (+ (/ (fma cosTheta_i cosTheta_O -1.0) v) 0.6931))
        (t_3 (/ t_0 t_1)))
   (/ (/ (exp (/ (* t_2 t_2) t_1)) (pow v t_3)) (pow 2.0 t_3))))
float code(float cosTheta_i, float cosTheta_O, float sinTheta_i, float sinTheta_O, float v) {
	float t_0 = logf((2.0f * v));
	float t_1 = ((fmaf(cosTheta_i, cosTheta_O, -1.0f) - (sinTheta_i * sinTheta_O)) / v) + (t_0 + 0.6931f);
	float t_2 = (fmaf(cosTheta_i, cosTheta_O, -1.0f) / v) + 0.6931f;
	float t_3 = t_0 / t_1;
	return (expf(((t_2 * t_2) / t_1)) / powf(v, t_3)) / powf(2.0f, t_3);
}
function code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	t_0 = log(Float32(Float32(2.0) * v))
	t_1 = Float32(Float32(Float32(fma(cosTheta_i, cosTheta_O, Float32(-1.0)) - Float32(sinTheta_i * sinTheta_O)) / v) + Float32(t_0 + Float32(0.6931)))
	t_2 = Float32(Float32(fma(cosTheta_i, cosTheta_O, Float32(-1.0)) / v) + Float32(0.6931))
	t_3 = Float32(t_0 / t_1)
	return Float32(Float32(exp(Float32(Float32(t_2 * t_2) / t_1)) / (v ^ t_3)) / (Float32(2.0) ^ t_3))
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \log \left(2 \cdot v\right)\\
t_1 := \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(t\_0 + 0.6931\right)\\
t_2 := \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right)}{v} + 0.6931\\
t_3 := \frac{t\_0}{t\_1}\\
\frac{\frac{e^{\frac{t\_2 \cdot t\_2}{t\_1}}}{{v}^{t\_3}}}{{2}^{t\_3}}
\end{array}
\end{array}
Derivation
  1. Initial program 99.7%

    \[e^{\left(\left(\left(\frac{cosTheta\_i \cdot cosTheta\_O}{v} - \frac{sinTheta\_i \cdot sinTheta\_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)} \]
  2. Add Preprocessing
  3. Applied rewrites99.7%

    \[\leadsto \color{blue}{\frac{e^{\frac{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\frac{{\log \left(2 \cdot v\right)}^{2}}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
  4. Step-by-step derivation
    1. lift-exp.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{e^{\frac{{\log \left(2 \cdot v\right)}^{2}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
    2. lift-/.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\color{blue}{\frac{{\log \left(2 \cdot v\right)}^{2}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
    3. lift-pow.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\frac{\color{blue}{{\log \left(2 \cdot v\right)}^{2}}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    4. unpow2N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\frac{\color{blue}{\log \left(2 \cdot v\right) \cdot \log \left(2 \cdot v\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    5. associate-/l*N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\color{blue}{\log \left(2 \cdot v\right) \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
    6. lift-log.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\color{blue}{\log \left(2 \cdot v\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    7. lift-*.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \color{blue}{\left(2 \cdot v\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    8. *-commutativeN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \color{blue}{\left(v \cdot 2\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    9. metadata-evalN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \left(v \cdot \color{blue}{\frac{1}{\frac{1}{2}}}\right) \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    10. div-invN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \color{blue}{\left(\frac{v}{\frac{1}{2}}\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    11. exp-to-powN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{{\left(\frac{v}{\frac{1}{2}}\right)}^{\left(\frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}\right)}}} \]
    12. lower-pow.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{{\left(\frac{v}{\frac{1}{2}}\right)}^{\left(\frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}\right)}}} \]
  5. Applied rewrites99.7%

    \[\leadsto \frac{e^{\frac{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(0.6931 + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}}} \]
  6. Taylor expanded in sinTheta_O around 0

    \[\leadsto \frac{e^{\frac{\color{blue}{{\left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}^{2}}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
  7. Step-by-step derivation
    1. unpow2N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    2. lower-*.f32N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    3. associate--l+N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\frac{6931}{10000} + \left(\frac{cosTheta\_O \cdot cosTheta\_i}{v} - \frac{1}{v}\right)\right)} \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    4. div-subN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    5. lower-+.f32N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}\right)} \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    7. sub-negN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\color{blue}{cosTheta\_O \cdot cosTheta\_i + \left(\mathsf{neg}\left(1\right)\right)}}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    8. metadata-evalN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i + \color{blue}{-1}}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    9. lower-fma.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\color{blue}{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    10. associate--l+N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \color{blue}{\left(\frac{6931}{10000} + \left(\frac{cosTheta\_O \cdot cosTheta\_i}{v} - \frac{1}{v}\right)\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    11. div-subN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    12. lower-+.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \color{blue}{\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    13. lower-/.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    14. sub-negN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\color{blue}{cosTheta\_O \cdot cosTheta\_i + \left(\mathsf{neg}\left(1\right)\right)}}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    15. metadata-evalN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i + \color{blue}{-1}}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    16. lower-fma.f3299.7

      \[\leadsto \frac{e^{\frac{\left(0.6931 + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(0.6931 + \frac{\color{blue}{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}}{v}\right)}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(0.6931 + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
  8. Applied rewrites99.7%

    \[\leadsto \frac{e^{\frac{\color{blue}{\left(0.6931 + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(0.6931 + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right)}}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(0.6931 + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
  9. Applied rewrites99.8%

    \[\leadsto \color{blue}{\frac{\frac{e^{\frac{\left(\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right)}{v} + 0.6931\right) \cdot \left(\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right)}{v} + 0.6931\right)}{\left(\log \left(2 \cdot v\right) + 0.6931\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}}}{{v}^{\left(\frac{\log \left(2 \cdot v\right)}{\left(\log \left(2 \cdot v\right) + 0.6931\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}}}{{2}^{\left(\frac{\log \left(2 \cdot v\right)}{\left(\log \left(2 \cdot v\right) + 0.6931\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}}} \]
  10. Final simplification99.8%

    \[\leadsto \frac{\frac{e^{\frac{\left(\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right)}{v} + 0.6931\right) \cdot \left(\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right)}{v} + 0.6931\right)}{\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(\log \left(2 \cdot v\right) + 0.6931\right)}}}{{v}^{\left(\frac{\log \left(2 \cdot v\right)}{\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(\log \left(2 \cdot v\right) + 0.6931\right)}\right)}}}{{2}^{\left(\frac{\log \left(2 \cdot v\right)}{\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(\log \left(2 \cdot v\right) + 0.6931\right)}\right)}} \]
  11. Add Preprocessing

Alternative 2: 99.4% accurate, 0.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v} + 0.6931\\ t_1 := \log \left(2 \cdot v\right)\\ \frac{e^{\frac{t\_0 \cdot t\_0}{\left(\frac{\left(cosTheta\_i \cdot cosTheta\_O - sinTheta\_i \cdot sinTheta\_O\right) - 1}{v} + 0.6931\right) + t\_1}}}{{\left(2 \cdot v\right)}^{\left(\frac{t\_1}{\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(t\_1 + 0.6931\right)}\right)}} \end{array} \end{array} \]
(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
 :precision binary32
 (let* ((t_0 (+ (/ (fma cosTheta_O cosTheta_i -1.0) v) 0.6931))
        (t_1 (log (* 2.0 v))))
   (/
    (exp
     (/
      (* t_0 t_0)
      (+
       (+
        (/ (- (- (* cosTheta_i cosTheta_O) (* sinTheta_i sinTheta_O)) 1.0) v)
        0.6931)
       t_1)))
    (pow
     (* 2.0 v)
     (/
      t_1
      (+
       (/ (- (fma cosTheta_i cosTheta_O -1.0) (* sinTheta_i sinTheta_O)) v)
       (+ t_1 0.6931)))))))
float code(float cosTheta_i, float cosTheta_O, float sinTheta_i, float sinTheta_O, float v) {
	float t_0 = (fmaf(cosTheta_O, cosTheta_i, -1.0f) / v) + 0.6931f;
	float t_1 = logf((2.0f * v));
	return expf(((t_0 * t_0) / ((((((cosTheta_i * cosTheta_O) - (sinTheta_i * sinTheta_O)) - 1.0f) / v) + 0.6931f) + t_1))) / powf((2.0f * v), (t_1 / (((fmaf(cosTheta_i, cosTheta_O, -1.0f) - (sinTheta_i * sinTheta_O)) / v) + (t_1 + 0.6931f))));
}
function code(cosTheta_i, cosTheta_O, sinTheta_i, sinTheta_O, v)
	t_0 = Float32(Float32(fma(cosTheta_O, cosTheta_i, Float32(-1.0)) / v) + Float32(0.6931))
	t_1 = log(Float32(Float32(2.0) * v))
	return Float32(exp(Float32(Float32(t_0 * t_0) / Float32(Float32(Float32(Float32(Float32(Float32(cosTheta_i * cosTheta_O) - Float32(sinTheta_i * sinTheta_O)) - Float32(1.0)) / v) + Float32(0.6931)) + t_1))) / (Float32(Float32(2.0) * v) ^ Float32(t_1 / Float32(Float32(Float32(fma(cosTheta_i, cosTheta_O, Float32(-1.0)) - Float32(sinTheta_i * sinTheta_O)) / v) + Float32(t_1 + Float32(0.6931))))))
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v} + 0.6931\\
t_1 := \log \left(2 \cdot v\right)\\
\frac{e^{\frac{t\_0 \cdot t\_0}{\left(\frac{\left(cosTheta\_i \cdot cosTheta\_O - sinTheta\_i \cdot sinTheta\_O\right) - 1}{v} + 0.6931\right) + t\_1}}}{{\left(2 \cdot v\right)}^{\left(\frac{t\_1}{\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(t\_1 + 0.6931\right)}\right)}}
\end{array}
\end{array}
Derivation
  1. Initial program 99.6%

    \[e^{\left(\left(\left(\frac{cosTheta\_i \cdot cosTheta\_O}{v} - \frac{sinTheta\_i \cdot sinTheta\_O}{v}\right) - \frac{1}{v}\right) + 0.6931\right) + \log \left(\frac{1}{2 \cdot v}\right)} \]
  2. Add Preprocessing
  3. Applied rewrites99.4%

    \[\leadsto \color{blue}{\frac{e^{\frac{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\frac{{\log \left(2 \cdot v\right)}^{2}}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
  4. Step-by-step derivation
    1. lift-exp.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{e^{\frac{{\log \left(2 \cdot v\right)}^{2}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
    2. lift-/.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\color{blue}{\frac{{\log \left(2 \cdot v\right)}^{2}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
    3. lift-pow.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\frac{\color{blue}{{\log \left(2 \cdot v\right)}^{2}}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    4. unpow2N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\frac{\color{blue}{\log \left(2 \cdot v\right) \cdot \log \left(2 \cdot v\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    5. associate-/l*N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\color{blue}{\log \left(2 \cdot v\right) \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}} \]
    6. lift-log.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\color{blue}{\log \left(2 \cdot v\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    7. lift-*.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \color{blue}{\left(2 \cdot v\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    8. *-commutativeN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \color{blue}{\left(v \cdot 2\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    9. metadata-evalN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \left(v \cdot \color{blue}{\frac{1}{\frac{1}{2}}}\right) \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    10. div-invN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{e^{\log \color{blue}{\left(\frac{v}{\frac{1}{2}}\right)} \cdot \frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}} \]
    11. exp-to-powN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{{\left(\frac{v}{\frac{1}{2}}\right)}^{\left(\frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}\right)}}} \]
    12. lower-pow.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{{\left(\frac{v}{\frac{1}{2}}\right)}^{\left(\frac{\log \left(2 \cdot v\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}\right)}}} \]
  5. Applied rewrites99.4%

    \[\leadsto \frac{e^{\frac{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) \cdot \left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right)}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{\color{blue}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(0.6931 + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}}} \]
  6. Taylor expanded in sinTheta_O around 0

    \[\leadsto \frac{e^{\frac{\color{blue}{{\left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}^{2}}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
  7. Step-by-step derivation
    1. unpow2N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    2. lower-*.f32N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    3. associate--l+N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\frac{6931}{10000} + \left(\frac{cosTheta\_O \cdot cosTheta\_i}{v} - \frac{1}{v}\right)\right)} \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    4. div-subN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    5. lower-+.f32N/A

      \[\leadsto \frac{e^{\frac{\color{blue}{\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}\right)} \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    6. lower-/.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    7. sub-negN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\color{blue}{cosTheta\_O \cdot cosTheta\_i + \left(\mathsf{neg}\left(1\right)\right)}}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    8. metadata-evalN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i + \color{blue}{-1}}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    9. lower-fma.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\color{blue}{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}}{v}\right) \cdot \left(\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i}{v}\right) - \frac{1}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    10. associate--l+N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \color{blue}{\left(\frac{6931}{10000} + \left(\frac{cosTheta\_O \cdot cosTheta\_i}{v} - \frac{1}{v}\right)\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    11. div-subN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    12. lower-+.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \color{blue}{\left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}\right)}}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    13. lower-/.f32N/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \color{blue}{\frac{cosTheta\_O \cdot cosTheta\_i - 1}{v}}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    14. sub-negN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{\color{blue}{cosTheta\_O \cdot cosTheta\_i + \left(\mathsf{neg}\left(1\right)\right)}}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    15. metadata-evalN/A

      \[\leadsto \frac{e^{\frac{\left(\frac{6931}{10000} + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(\frac{6931}{10000} + \frac{cosTheta\_O \cdot cosTheta\_i + \color{blue}{-1}}{v}\right)}{\left(\frac{6931}{10000} + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(\frac{6931}{10000} + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
    16. lower-fma.f3299.4

      \[\leadsto \frac{e^{\frac{\left(0.6931 + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(0.6931 + \frac{\color{blue}{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}}{v}\right)}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(0.6931 + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
  8. Applied rewrites99.4%

    \[\leadsto \frac{e^{\frac{\color{blue}{\left(0.6931 + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right) \cdot \left(0.6931 + \frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v}\right)}}{\left(0.6931 + \frac{\left(cosTheta\_O \cdot cosTheta\_i - sinTheta\_O \cdot sinTheta\_i\right) - 1}{v}\right) + \log \left(2 \cdot v\right)}}}{{\left(v \cdot 2\right)}^{\left(\frac{\log \left(v \cdot 2\right)}{\left(0.6931 + \log \left(v \cdot 2\right)\right) + \frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v}}\right)}} \]
  9. Final simplification99.4%

    \[\leadsto \frac{e^{\frac{\left(\frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v} + 0.6931\right) \cdot \left(\frac{\mathsf{fma}\left(cosTheta\_O, cosTheta\_i, -1\right)}{v} + 0.6931\right)}{\left(\frac{\left(cosTheta\_i \cdot cosTheta\_O - sinTheta\_i \cdot sinTheta\_O\right) - 1}{v} + 0.6931\right) + \log \left(2 \cdot v\right)}}}{{\left(2 \cdot v\right)}^{\left(\frac{\log \left(2 \cdot v\right)}{\frac{\mathsf{fma}\left(cosTheta\_i, cosTheta\_O, -1\right) - sinTheta\_i \cdot sinTheta\_O}{v} + \left(\log \left(2 \cdot v\right) + 0.6931\right)}\right)}} \]
  10. Add Preprocessing

Reproduce

?
herbie shell --seed 2024229 
(FPCore (cosTheta_i cosTheta_O sinTheta_i sinTheta_O v)
  :name "HairBSDF, Mp, lower"
  :precision binary32
  :pre (and (and (and (and (and (<= -1.0 cosTheta_i) (<= cosTheta_i 1.0)) (and (<= -1.0 cosTheta_O) (<= cosTheta_O 1.0))) (and (<= -1.0 sinTheta_i) (<= sinTheta_i 1.0))) (and (<= -1.0 sinTheta_O) (<= sinTheta_O 1.0))) (and (<= -1.5707964 v) (<= v 0.1)))
  (exp (+ (+ (- (- (/ (* cosTheta_i cosTheta_O) v) (/ (* sinTheta_i sinTheta_O) v)) (/ 1.0 v)) 0.6931) (log (/ 1.0 (* 2.0 v))))))