GTR1 distribution

Percentage Accurate: 98.5% → 98.4%
Time: 8.7s
Alternatives: 14
Speedup: 1.0×

Specification

?
\[\left(0 \leq cosTheta \land cosTheta \leq 1\right) \land \left(0.0001 \leq \alpha \land \alpha \leq 1\right)\]
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \alpha \cdot \alpha - 1\\ \frac{t\_0}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)} \end{array} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (* (PI) (log (* alpha alpha))) (+ 1.0 (* (* t_0 cosTheta) cosTheta))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \alpha \cdot \alpha - 1\\
\frac{t\_0}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)}
\end{array}
\end{array}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

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

Accuracy vs Speed?

Herbie found 14 alternatives:

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

Initial Program: 98.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \alpha \cdot \alpha - 1\\ \frac{t\_0}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)} \end{array} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (* (PI) (log (* alpha alpha))) (+ 1.0 (* (* t_0 cosTheta) cosTheta))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \alpha \cdot \alpha - 1\\
\frac{t\_0}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)}
\end{array}
\end{array}

Alternative 1: 98.4% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \left(\log \alpha \cdot 2\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (+ (* (- alpha 1.0) alpha) (* (- alpha 1.0) 1.0))
  (*
   (* (PI) (* (log alpha) 2.0))
   (+ 1.0 (* (* (- (* alpha alpha) 1.0) cosTheta) cosTheta)))))
\begin{array}{l}

\\
\frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \left(\log \alpha \cdot 2\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift--.f32N/A

      \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha - 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha} - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    3. difference-of-sqr-1N/A

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

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

      \[\leadsto \frac{\color{blue}{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    6. lower-+.f32N/A

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

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

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

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \color{blue}{\left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    10. lower--.f3298.4

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \color{blue}{\left(\alpha - 1\right)} \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  4. Applied rewrites98.4%

    \[\leadsto \frac{\color{blue}{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  5. Taylor expanded in alpha around 0

    \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\left(2 \cdot \log \alpha\right)}\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  6. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\left(\log \alpha \cdot 2\right)}\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    2. lower-*.f32N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\left(\log \alpha \cdot 2\right)}\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    3. lower-log.f3298.6

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \left(\color{blue}{\log \alpha} \cdot 2\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  7. Applied rewrites98.6%

    \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \color{blue}{\left(\log \alpha \cdot 2\right)}\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  8. Add Preprocessing

Alternative 2: 98.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha\right) \cdot cosTheta + \left(-cosTheta\right)\right) \cdot cosTheta\right)} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (- (* alpha alpha) 1.0)
  (*
   (* (PI) (log (* alpha alpha)))
   (+ 1.0 (* (+ (* (* alpha alpha) cosTheta) (- cosTheta)) cosTheta)))))
\begin{array}{l}

\\
\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha\right) \cdot cosTheta + \left(-cosTheta\right)\right) \cdot cosTheta\right)}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-*.f32N/A

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

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

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

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

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \color{blue}{\left(\left(\alpha \cdot \alpha\right) \cdot cosTheta + \left(\mathsf{neg}\left(1\right)\right) \cdot cosTheta\right)} \cdot cosTheta\right)} \]
    6. lower-+.f32N/A

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

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

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha\right) \cdot cosTheta + \color{blue}{-1} \cdot cosTheta\right) \cdot cosTheta\right)} \]
    9. neg-mul-1N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha\right) \cdot cosTheta + \color{blue}{\left(\mathsf{neg}\left(cosTheta\right)\right)}\right) \cdot cosTheta\right)} \]
    10. lower-neg.f3298.5

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha\right) \cdot cosTheta + \color{blue}{\left(-cosTheta\right)}\right) \cdot cosTheta\right)} \]
  4. Applied rewrites98.5%

    \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \color{blue}{\left(\left(\alpha \cdot \alpha\right) \cdot cosTheta + \left(-cosTheta\right)\right)} \cdot cosTheta\right)} \]
  5. Add Preprocessing

Alternative 3: 98.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \alpha \cdot \alpha - 1\\ \frac{t\_0}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)} \end{array} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (* (PI) (log (* alpha alpha))) (+ 1.0 (* (* t_0 cosTheta) cosTheta))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \alpha \cdot \alpha - 1\\
\frac{t\_0}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)}
\end{array}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Add Preprocessing

Alternative 4: 98.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \alpha \cdot \alpha - 1\\ \frac{t\_0}{\left(\log \alpha \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)} \end{array} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (* (log alpha) (+ (PI) (PI))) (+ 1.0 (* (* t_0 cosTheta) cosTheta))))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \alpha \cdot \alpha - 1\\
\frac{t\_0}{\left(\log \alpha \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot \left(1 + \left(t\_0 \cdot cosTheta\right) \cdot cosTheta\right)}
\end{array}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right)} \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    2. lift-log.f32N/A

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

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

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

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

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

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

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\color{blue}{\log \alpha} \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    9. lower-+.f3298.5

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\log \alpha \cdot \color{blue}{\left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)}\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  4. Applied rewrites98.5%

    \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\log \alpha \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right)} \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  5. Add Preprocessing

Alternative 5: 97.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \log \alpha\right)} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (+ (* (- alpha 1.0) alpha) (* (- alpha 1.0) 1.0))
  (* (* (PI) 2.0) (* (- 1.0 (* cosTheta cosTheta)) (log alpha)))))
\begin{array}{l}

\\
\frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \log \alpha\right)}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift--.f32N/A

      \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha - 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha} - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    3. difference-of-sqr-1N/A

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

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

      \[\leadsto \frac{\color{blue}{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    6. lower-+.f32N/A

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

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

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

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \color{blue}{\left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    10. lower--.f3298.4

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \color{blue}{\left(\alpha - 1\right)} \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  4. Applied rewrites98.4%

    \[\leadsto \frac{\color{blue}{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  5. Taylor expanded in alpha around 0

    \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{2 \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\log \alpha \cdot \left(1 + -1 \cdot {cosTheta}^{2}\right)\right)\right)}} \]
  6. Step-by-step derivation
    1. associate-*r*N/A

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

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

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

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right)} \cdot \left(\log \alpha \cdot \left(1 + -1 \cdot {cosTheta}^{2}\right)\right)} \]
    5. lower-PI.f32N/A

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

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \color{blue}{\left(\left(1 + -1 \cdot {cosTheta}^{2}\right) \cdot \log \alpha\right)}} \]
    7. lower-*.f32N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \color{blue}{\left(\left(1 + -1 \cdot {cosTheta}^{2}\right) \cdot \log \alpha\right)}} \]
    8. mul-1-negN/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\left(1 + \color{blue}{\left(\mathsf{neg}\left({cosTheta}^{2}\right)\right)}\right) \cdot \log \alpha\right)} \]
    9. unsub-negN/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\color{blue}{\left(1 - {cosTheta}^{2}\right)} \cdot \log \alpha\right)} \]
    10. lower--.f32N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\color{blue}{\left(1 - {cosTheta}^{2}\right)} \cdot \log \alpha\right)} \]
    11. unpow2N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\left(1 - \color{blue}{cosTheta \cdot cosTheta}\right) \cdot \log \alpha\right)} \]
    12. lower-*.f32N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\left(1 - \color{blue}{cosTheta \cdot cosTheta}\right) \cdot \log \alpha\right)} \]
    13. lower-log.f3296.7

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \color{blue}{\log \alpha}\right)} \]
  7. Applied rewrites96.7%

    \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \log \alpha\right)}} \]
  8. Add Preprocessing

Alternative 6: 97.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 - cosTheta \cdot cosTheta\right)} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (- (* alpha alpha) 1.0)
  (* (* (PI) (log (* alpha alpha))) (- 1.0 (* cosTheta cosTheta)))))
\begin{array}{l}

\\
\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 - cosTheta \cdot cosTheta\right)}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in alpha around 0

    \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \color{blue}{\left(1 + -1 \cdot {cosTheta}^{2}\right)}} \]
  4. Step-by-step derivation
    1. mul-1-negN/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \color{blue}{\left(\mathsf{neg}\left({cosTheta}^{2}\right)\right)}\right)} \]
    2. unsub-negN/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \color{blue}{\left(1 - {cosTheta}^{2}\right)}} \]
    3. lower--.f32N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \color{blue}{\left(1 - {cosTheta}^{2}\right)}} \]
    4. unpow2N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 - \color{blue}{cosTheta \cdot cosTheta}\right)} \]
    5. lower-*.f3296.7

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 - \color{blue}{cosTheta \cdot cosTheta}\right)} \]
  5. Applied rewrites96.7%

    \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \color{blue}{\left(1 - cosTheta \cdot cosTheta\right)}} \]
  6. Add Preprocessing

Alternative 7: 97.4% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \log \alpha\right)} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (- (* alpha alpha) 1.0)
  (* (* 2.0 (PI)) (* (- 1.0 (* cosTheta cosTheta)) (log alpha)))))
\begin{array}{l}

\\
\frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \log \alpha\right)}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-*.f32N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right)} \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    2. lift-log.f32N/A

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

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

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

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

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

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

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\color{blue}{\log \alpha} \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    9. lower-+.f3298.5

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\log \alpha \cdot \color{blue}{\left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)}\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  4. Applied rewrites98.5%

    \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\log \alpha \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right)} \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  5. Taylor expanded in alpha around 0

    \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{2 \cdot \left(\mathsf{PI}\left(\right) \cdot \left(\log \alpha \cdot \left(1 + -1 \cdot {cosTheta}^{2}\right)\right)\right)}} \]
  6. Step-by-step derivation
    1. associate-*r*N/A

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

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\log \alpha \cdot \left(1 + -1 \cdot {cosTheta}^{2}\right)\right)}} \]
    3. lower-*.f32N/A

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

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

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\left(\left(1 + -1 \cdot {cosTheta}^{2}\right) \cdot \log \alpha\right)}} \]
    6. lower-*.f32N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\left(\left(1 + -1 \cdot {cosTheta}^{2}\right) \cdot \log \alpha\right)}} \]
    7. mul-1-negN/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\left(1 + \color{blue}{\left(\mathsf{neg}\left({cosTheta}^{2}\right)\right)}\right) \cdot \log \alpha\right)} \]
    8. unsub-negN/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\color{blue}{\left(1 - {cosTheta}^{2}\right)} \cdot \log \alpha\right)} \]
    9. lower--.f32N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\color{blue}{\left(1 - {cosTheta}^{2}\right)} \cdot \log \alpha\right)} \]
    10. unpow2N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\left(1 - \color{blue}{cosTheta \cdot cosTheta}\right) \cdot \log \alpha\right)} \]
    11. lower-*.f32N/A

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\left(1 - \color{blue}{cosTheta \cdot cosTheta}\right) \cdot \log \alpha\right)} \]
    12. lower-log.f3296.6

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \color{blue}{\log \alpha}\right)} \]
  7. Applied rewrites96.6%

    \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \left(\left(1 - cosTheta \cdot cosTheta\right) \cdot \log \alpha\right)}} \]
  8. Add Preprocessing

Alternative 8: 95.1% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\log \alpha \cdot 2\right) \cdot \mathsf{PI}\left(\right)} \end{array} \]
(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (+ (* (- alpha 1.0) alpha) (* (- alpha 1.0) 1.0))
  (* (* (log alpha) 2.0) (PI))))
\begin{array}{l}

\\
\frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\log \alpha \cdot 2\right) \cdot \mathsf{PI}\left(\right)}
\end{array}
Derivation
  1. Initial program 98.5%

    \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift--.f32N/A

      \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha - 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    2. lift-*.f32N/A

      \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha} - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    3. difference-of-sqr-1N/A

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

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

      \[\leadsto \frac{\color{blue}{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    6. lower-+.f32N/A

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

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

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

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \color{blue}{\left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    10. lower--.f3298.4

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \color{blue}{\left(\alpha - 1\right)} \cdot 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  4. Applied rewrites98.4%

    \[\leadsto \frac{\color{blue}{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
  5. Taylor expanded in cosTheta around 0

    \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{\mathsf{PI}\left(\right) \cdot \log \left({\alpha}^{2}\right)}} \]
  6. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{\log \left({\alpha}^{2}\right) \cdot \mathsf{PI}\left(\right)}} \]
    2. lower-*.f32N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{\log \left({\alpha}^{2}\right) \cdot \mathsf{PI}\left(\right)}} \]
    3. lower-log.f32N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{\log \left({\alpha}^{2}\right)} \cdot \mathsf{PI}\left(\right)} \]
    4. unpow2N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\log \color{blue}{\left(\alpha \cdot \alpha\right)} \cdot \mathsf{PI}\left(\right)} \]
    5. lower-*.f32N/A

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\log \color{blue}{\left(\alpha \cdot \alpha\right)} \cdot \mathsf{PI}\left(\right)} \]
    6. lower-PI.f3294.7

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\log \left(\alpha \cdot \alpha\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}} \]
  7. Applied rewrites94.7%

    \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\color{blue}{\log \left(\alpha \cdot \alpha\right) \cdot \mathsf{PI}\left(\right)}} \]
  8. Taylor expanded in alpha around 0

    \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(2 \cdot \log \alpha\right) \cdot \mathsf{PI}\left(\right)} \]
  9. Step-by-step derivation
    1. Applied rewrites94.9%

      \[\leadsto \frac{\left(\alpha - 1\right) \cdot \alpha + \left(\alpha - 1\right) \cdot 1}{\left(\log \alpha \cdot 2\right) \cdot \mathsf{PI}\left(\right)} \]
    2. Add Preprocessing

    Alternative 9: 95.2% accurate, 1.2× speedup?

    \[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot 1} \end{array} \]
    (FPCore (cosTheta alpha)
     :precision binary32
     (/ (- (* alpha alpha) 1.0) (* (* (PI) (log (* alpha alpha))) 1.0)))
    \begin{array}{l}
    
    \\
    \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot 1}
    \end{array}
    
    Derivation
    1. Initial program 98.5%

      \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in cosTheta around 0

      \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \color{blue}{1}} \]
    4. Step-by-step derivation
      1. Applied rewrites94.8%

        \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \color{blue}{1}} \]
      2. Add Preprocessing

      Alternative 10: 95.1% accurate, 1.2× speedup?

      \[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{\left(\log \alpha \cdot \mathsf{PI}\left(\right)\right) \cdot 2} \end{array} \]
      (FPCore (cosTheta alpha)
       :precision binary32
       (/ (- (* alpha alpha) 1.0) (* (* (log alpha) (PI)) 2.0)))
      \begin{array}{l}
      
      \\
      \frac{\alpha \cdot \alpha - 1}{\left(\log \alpha \cdot \mathsf{PI}\left(\right)\right) \cdot 2}
      \end{array}
      
      Derivation
      1. Initial program 98.5%

        \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
      2. Add Preprocessing
      3. Step-by-step derivation
        1. lift-*.f32N/A

          \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right)} \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
        2. lift-log.f32N/A

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

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

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

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

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

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

          \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\color{blue}{\log \alpha} \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
        9. lower-+.f3298.5

          \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\log \alpha \cdot \color{blue}{\left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)}\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
      4. Applied rewrites98.5%

        \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\log \alpha \cdot \left(\mathsf{PI}\left(\right) + \mathsf{PI}\left(\right)\right)\right)} \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
      5. Taylor expanded in cosTheta around 0

        \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{2 \cdot \left(\mathsf{PI}\left(\right) \cdot \log \alpha\right)}} \]
      6. Step-by-step derivation
        1. *-commutativeN/A

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

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

          \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\log \alpha \cdot \mathsf{PI}\left(\right)\right)} \cdot 2} \]
        4. lower-*.f32N/A

          \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\log \alpha \cdot \mathsf{PI}\left(\right)\right)} \cdot 2} \]
        5. lower-log.f32N/A

          \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\color{blue}{\log \alpha} \cdot \mathsf{PI}\left(\right)\right) \cdot 2} \]
        6. lower-PI.f3294.8

          \[\leadsto \frac{\alpha \cdot \alpha - 1}{\left(\log \alpha \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot 2} \]
      7. Applied rewrites94.8%

        \[\leadsto \frac{\alpha \cdot \alpha - 1}{\color{blue}{\left(\log \alpha \cdot \mathsf{PI}\left(\right)\right) \cdot 2}} \]
      8. Add Preprocessing

      Alternative 11: 66.1% accurate, 1.3× speedup?

      \[\begin{array}{l} \\ \frac{-1}{\log \left(\alpha \cdot \alpha\right) \cdot \mathsf{PI}\left(\right)} \end{array} \]
      (FPCore (cosTheta alpha)
       :precision binary32
       (/ -1.0 (* (log (* alpha alpha)) (PI))))
      \begin{array}{l}
      
      \\
      \frac{-1}{\log \left(\alpha \cdot \alpha\right) \cdot \mathsf{PI}\left(\right)}
      \end{array}
      
      Derivation
      1. Initial program 98.5%

        \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in alpha around 0

        \[\leadsto \frac{\color{blue}{-1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
      4. Step-by-step derivation
        1. Applied rewrites63.9%

          \[\leadsto \frac{\color{blue}{-1}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
        2. Taylor expanded in cosTheta around 0

          \[\leadsto \frac{-1}{\color{blue}{\mathsf{PI}\left(\right) \cdot \log \left({\alpha}^{2}\right)}} \]
        3. Step-by-step derivation
          1. *-commutativeN/A

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

            \[\leadsto \frac{-1}{\color{blue}{\log \left({\alpha}^{2}\right) \cdot \mathsf{PI}\left(\right)}} \]
          3. lower-log.f32N/A

            \[\leadsto \frac{-1}{\color{blue}{\log \left({\alpha}^{2}\right)} \cdot \mathsf{PI}\left(\right)} \]
          4. unpow2N/A

            \[\leadsto \frac{-1}{\log \color{blue}{\left(\alpha \cdot \alpha\right)} \cdot \mathsf{PI}\left(\right)} \]
          5. lower-*.f32N/A

            \[\leadsto \frac{-1}{\log \color{blue}{\left(\alpha \cdot \alpha\right)} \cdot \mathsf{PI}\left(\right)} \]
          6. lower-PI.f3263.3

            \[\leadsto \frac{-1}{\log \left(\alpha \cdot \alpha\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}} \]
        4. Applied rewrites63.3%

          \[\leadsto \frac{-1}{\color{blue}{\log \left(\alpha \cdot \alpha\right) \cdot \mathsf{PI}\left(\right)}} \]
        5. Add Preprocessing

        Alternative 12: 6.9% accurate, 1.7× speedup?

        \[\begin{array}{l} \\ \mathsf{fma}\left(\frac{1}{\mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right) \end{array} \]
        (FPCore (cosTheta alpha)
         :precision binary32
         (fma
          (/ 1.0 (PI))
          (/ (* alpha alpha) (/ 0.0 0.0))
          (/
           -1.0
           (*
            (* (PI) (fma (* cosTheta (fma alpha alpha -1.0)) cosTheta 1.0))
            (/ 0.0 0.0)))))
        \begin{array}{l}
        
        \\
        \mathsf{fma}\left(\frac{1}{\mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right)
        \end{array}
        
        Derivation
        1. Initial program 98.5%

          \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
        2. Add Preprocessing
        3. Applied rewrites-0.0%

          \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right)} \]
        4. Taylor expanded in cosTheta around 0

          \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right) \]
        5. Step-by-step derivation
          1. lower-/.f32N/A

            \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right) \]
          2. lower-PI.f32-0.0

            \[\leadsto \mathsf{fma}\left(\frac{1}{\color{blue}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right) \]
        6. Applied rewrites-0.0%

          \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right) \]
        7. Add Preprocessing

        Alternative 13: 7.0% accurate, 1.7× speedup?

        \[\begin{array}{l} \\ \mathsf{fma}\left(\frac{1}{\mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \end{array} \]
        (FPCore (cosTheta alpha)
         :precision binary32
         (fma
          (/ 1.0 (PI))
          (/ (* alpha alpha) (/ 0.0 0.0))
          (/ -1.0 (* (* (* (* (* cosTheta cosTheta) (PI)) alpha) alpha) (/ 0.0 0.0)))))
        \begin{array}{l}
        
        \\
        \mathsf{fma}\left(\frac{1}{\mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right)
        \end{array}
        
        Derivation
        1. Initial program 98.5%

          \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
        2. Add Preprocessing
        3. Applied rewrites-0.0%

          \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}\right)} \]
        4. Taylor expanded in alpha around inf

          \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\color{blue}{\left({\alpha}^{2} \cdot \left({cosTheta}^{2} \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \frac{0}{0}}\right) \]
        5. Step-by-step derivation
          1. *-commutativeN/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\color{blue}{\left(\left({cosTheta}^{2} \cdot \mathsf{PI}\left(\right)\right) \cdot {\alpha}^{2}\right)} \cdot \frac{0}{0}}\right) \]
          2. unpow2N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left({cosTheta}^{2} \cdot \mathsf{PI}\left(\right)\right) \cdot \color{blue}{\left(\alpha \cdot \alpha\right)}\right) \cdot \frac{0}{0}}\right) \]
          3. associate-*r*N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\color{blue}{\left(\left(\left({cosTheta}^{2} \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right)} \cdot \frac{0}{0}}\right) \]
          4. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\color{blue}{\left(\left(\left({cosTheta}^{2} \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right)} \cdot \frac{0}{0}}\right) \]
          5. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\color{blue}{\left(\left({cosTheta}^{2} \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right)} \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
          6. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\color{blue}{\left({cosTheta}^{2} \cdot \mathsf{PI}\left(\right)\right)} \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
          7. unpow2N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\color{blue}{\left(cosTheta \cdot cosTheta\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
          8. lower-*.f32N/A

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\color{blue}{\left(cosTheta \cdot cosTheta\right)} \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
          9. lower-PI.f32-0.0

            \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \color{blue}{\mathsf{PI}\left(\right)}\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
        6. Applied rewrites-0.0%

          \[\leadsto \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\color{blue}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right)} \cdot \frac{0}{0}}\right) \]
        7. Taylor expanded in cosTheta around 0

          \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
        8. Step-by-step derivation
          1. lower-/.f32N/A

            \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
          2. lower-PI.f32-0.0

            \[\leadsto \mathsf{fma}\left(\frac{1}{\color{blue}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
        9. Applied rewrites-0.0%

          \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{1}{\mathsf{PI}\left(\right)}}, \frac{\alpha \cdot \alpha}{\frac{0}{0}}, \frac{-1}{\left(\left(\left(\left(cosTheta \cdot cosTheta\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \alpha\right) \cdot \alpha\right) \cdot \frac{0}{0}}\right) \]
        10. Add Preprocessing

        Alternative 14: -0.0% accurate, 4.6× speedup?

        \[\begin{array}{l} \\ \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\mathsf{PI}\left(\right) \cdot \frac{0}{0}} \end{array} \]
        (FPCore (cosTheta alpha)
         :precision binary32
         (/ (fma alpha alpha -1.0) (* (PI) (/ 0.0 0.0))))
        \begin{array}{l}
        
        \\
        \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\mathsf{PI}\left(\right) \cdot \frac{0}{0}}
        \end{array}
        
        Derivation
        1. Initial program 98.5%

          \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
        2. Add Preprocessing
        3. Step-by-step derivation
          1. lift--.f32N/A

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

            \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha + \left(\mathsf{neg}\left(1\right)\right)}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
          3. lift-*.f32N/A

            \[\leadsto \frac{\color{blue}{\alpha \cdot \alpha} + \left(\mathsf{neg}\left(1\right)\right)}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
          4. lower-fma.f32N/A

            \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\alpha, \alpha, \mathsf{neg}\left(1\right)\right)}}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
          5. metadata-eval10.0

            \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, \color{blue}{-1}\right)}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
          6. lift-*.f32N/A

            \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)}} \]
          7. lift-*.f32N/A

            \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right)} \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
          8. associate-*l*N/A

            \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\mathsf{PI}\left(\right) \cdot \left(\log \left(\alpha \cdot \alpha\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)\right)}} \]
          9. *-commutativeN/A

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

            \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)\right) \cdot \log \left(\alpha \cdot \alpha\right)}} \]
          11. lower-*.f32N/A

            \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\left(\mathsf{PI}\left(\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)\right) \cdot \log \left(\alpha \cdot \alpha\right)}} \]
        4. Applied rewrites-0.0%

          \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\left(\mathsf{PI}\left(\right) \cdot \mathsf{fma}\left(cosTheta \cdot \mathsf{fma}\left(\alpha, \alpha, -1\right), cosTheta, 1\right)\right) \cdot \frac{0}{0}}} \]
        5. Taylor expanded in cosTheta around 0

          \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\mathsf{PI}\left(\right)} \cdot \frac{0}{0}} \]
        6. Step-by-step derivation
          1. lower-PI.f32-0.0

            \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\mathsf{PI}\left(\right)} \cdot \frac{0}{0}} \]
        7. Applied rewrites-0.0%

          \[\leadsto \frac{\mathsf{fma}\left(\alpha, \alpha, -1\right)}{\color{blue}{\mathsf{PI}\left(\right)} \cdot \frac{0}{0}} \]
        8. Add Preprocessing

        Reproduce

        ?
        herbie shell --seed 2024319 
        (FPCore (cosTheta alpha)
          :name "GTR1 distribution"
          :precision binary32
          :pre (and (and (<= 0.0 cosTheta) (<= cosTheta 1.0)) (and (<= 0.0001 alpha) (<= alpha 1.0)))
          (/ (- (* alpha alpha) 1.0) (* (* (PI) (log (* alpha alpha))) (+ 1.0 (* (* (- (* alpha alpha) 1.0) cosTheta) cosTheta)))))