GTR1 distribution

Percentage Accurate: 98.5% → 98.5%

Time: 9.2s

Alternatives: 14

Speedup: 1.0×

Specification

\[\left(0 \leq cosTheta \land cosTheta \leq 1\right) \land \left(0.0001 \leq \alpha \land \alpha \leq 1\right)\]

Math

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

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (* (PI) (log (* alpha alpha))) (+ 1.0 (* (* t_0 cosTheta) cosTheta))))))

Initial Program: 98.5% accurate, 1.0× speedup

Math

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

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (* (PI) (log (* alpha alpha))) (+ 1.0 (* (* t_0 cosTheta) cosTheta))))))

Alternative 1: 98.5% accurate, 0.3× speedup

Math

\[\begin{array}{l} \\ \frac{{\left(e^{\log \alpha}\right)}^{2} - 1}{\left(\left(cosTheta \cdot \left(\alpha \cdot \alpha - 1\right)\right) \cdot cosTheta + 1\right) \cdot \left(\log \left(\alpha \cdot \alpha\right) \cdot \mathsf{PI}\left(\right)\right)} \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (- (pow (exp (log alpha)) 2.0) 1.0)
  (*
   (+ (* (* cosTheta (- (* alpha alpha) 1.0)) cosTheta) 1.0)
   (* (log (* alpha alpha)) (PI)))))

Derivation

1. Initial program 98.4%

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

   1. lift-*.f32 N/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. pow2 N/A

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

   3. pow-to-exp N/A

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

   4. exp-prod N/A

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

   5. lower-pow.f32 N/A

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

   6. lower-exp.f32 N/A

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

   7. lower-log.f32 98.4

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

4. Applied rewrites 98.4%

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

5. Final simplification 98.4%

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

Alternative 2: 98.5% accurate, 1.0× speedup

Math

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

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (+ (* (* cosTheta t_0) cosTheta) 1.0) (* (log (* alpha alpha)) (PI))))))

Derivation

1. Initial program 98.4%

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

3. Final simplification 98.4%

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

Alternative 3: 98.4% accurate, 1.0× speedup

Math

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

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0 (- (* alpha alpha) 1.0)))
   (/
    t_0
    (* (* (+ (PI) (PI)) (log alpha)) (+ (* (* cosTheta t_0) cosTheta) 1.0)))))

Derivation

1. Initial program 98.4%

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

   1. lift-*.f32 N/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.f32 N/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-*.f32 N/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-prod N/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-in N/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-out N/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-*.f32 N/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.f32 N/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-+.f32 98.4

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

4. Applied rewrites 98.4%

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

5. Final simplification 98.4%

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

Alternative 4: 97.5% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{\left(1 - cosTheta \cdot cosTheta\right) \cdot \left(\log \left(\alpha \cdot \alpha\right) \cdot \mathsf{PI}\left(\right)\right)} \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (/
  (- (* alpha alpha) 1.0)
  (* (- 1.0 (* cosTheta cosTheta)) (* (log (* alpha alpha)) (PI)))))

Derivation

1. Initial program 98.4%

   \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
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-neg N/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-neg N/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--.f32 N/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. unpow2 N/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-*.f32 97.5

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

5. Applied rewrites 97.5%

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

6. Final simplification 97.5%

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

Alternative 5: 95.3% accurate, 1.2× speedup

Math

\[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{1 \cdot \left(\log \left(\alpha \cdot \alpha\right) \cdot \mathsf{PI}\left(\right)\right)} \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (/ (- (* alpha alpha) 1.0) (* 1.0 (* (log (* alpha alpha)) (PI)))))

Derivation

1. Initial program 98.4%

   \[\frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \left(\alpha \cdot \alpha\right)\right) \cdot \left(1 + \left(\left(\alpha \cdot \alpha - 1\right) \cdot cosTheta\right) \cdot cosTheta\right)} \]
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

5. Applied rewrites 95.2%

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

6. Final simplification 95.2%

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

Alternative 6: 95.2% accurate, 1.2× speedup

Math

\[\begin{array}{l} \\ \frac{\alpha \cdot \alpha - 1}{\left(\mathsf{PI}\left(\right) \cdot \log \alpha\right) \cdot 2} \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (/ (- (* alpha alpha) 1.0) (* (* (PI) (log alpha)) 2.0)))

Derivation

1. Initial program 98.4%

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

   1. lift-*.f32 N/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.f32 N/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-*.f32 N/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-prod N/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-in N/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-out N/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-*.f32 N/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.f32 N/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-+.f32 98.4

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

4. Applied rewrites 98.4%

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

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. *-commutative N/A

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

   2. lower-*.f32 N/A

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

   3. *-commutative N/A

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

   4. lower-*.f32 N/A

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

   5. lower-log.f32 N/A

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

   6. lower-PI.f32 95.2

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

7. Applied rewrites 95.2%

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

8. Final simplification 95.2%

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

Alternative 7: 7.1% accurate, 1.2× speedup

Math

\[\begin{array}{l} \\ \frac{0.5}{\mathsf{fma}\left(cosTheta, cosTheta, -1\right) \cdot \left(\mathsf{PI}\left(\right) \cdot \log \alpha\right)} \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (/ 0.5 (* (fma cosTheta cosTheta -1.0) (* (PI) (log alpha)))))

Derivation

1. Initial program 98.4%

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

   1. lift-*.f32 N/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. pow2 N/A

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

   3. pow-to-exp N/A

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

   4. exp-prod N/A

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

   5. lower-pow.f32 N/A

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

   6. lower-exp.f32 N/A

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

   7. lower-log.f32 98.4

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

4. Applied rewrites 98.4%

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

5. Taylor expanded in alpha around 0

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

   1. metadata-eval N/A

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

   2. distribute-neg-frac N/A

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

   3. distribute-neg-frac2 N/A

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

   4. distribute-rgt-neg-in N/A

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

   5. distribute-lft-neg-out N/A

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

   6. log-rec N/A

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

   7. lower-/.f32 N/A

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

   8. associate-*r* N/A

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

   9. *-commutative N/A

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

   10. log-rec N/A

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

   11. distribute-rgt-neg-out N/A

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

   12. distribute-rgt-neg-in N/A

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

   13. distribute-lft-neg-in N/A

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

   14. mul-1-neg N/A

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

7. Applied rewrites 7.6%

   \[\leadsto \color{blue}{\frac{0.5}{\mathsf{fma}\left(cosTheta, cosTheta, -1\right) \cdot \left(\log \alpha \cdot \mathsf{PI}\left(\right)\right)}} \]

8. Final simplification 7.6%

   \[\leadsto \frac{0.5}{\mathsf{fma}\left(cosTheta, cosTheta, -1\right) \cdot \left(\mathsf{PI}\left(\right) \cdot \log \alpha\right)} \]
9. Add Preprocessing

Alternative 8: 7.1% accurate, 1.2× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\frac{1}{\mathsf{fma}\left(\mathsf{fma}\left(\alpha, \alpha, -1\right) \cdot cosTheta, cosTheta, 1\right)}}{\frac{0}{0} \cdot \mathsf{PI}\left(\right)}\\ \mathsf{fma}\left(t\_0, -1, t\_0 \cdot \left(\alpha \cdot \alpha\right)\right) \end{array} \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (let* ((t_0
         (/
          (/ 1.0 (fma (* (fma alpha alpha -1.0) cosTheta) cosTheta 1.0))
          (* (/ 0.0 0.0) (PI)))))
   (fma t_0 -1.0 (* t_0 (* alpha alpha)))))

Derivation

1. Initial program 98.4%

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

   1. lift-/.f32 N/A

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

   2. clear-num N/A

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

   3. associate-/r/ N/A

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

   4. lift--.f32 N/A

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

   5. sub-neg N/A

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

   6. +-commutative N/A

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

   7. distribute-lft-in N/A

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

   8. lower-fma.f32 N/A

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

4. Applied rewrites -0.0%

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

5. Final simplification -0.0%

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

Alternative 9: 7.0% accurate, 1.4× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(1, \frac{-1}{\left(\mathsf{fma}\left(\left(\alpha \cdot \alpha\right) \cdot cosTheta, cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{0}{0}}, \frac{\alpha}{\frac{0}{0}} \cdot \frac{\alpha}{\mathsf{fma}\left(\mathsf{fma}\left(\alpha, \alpha, -1\right) \cdot \mathsf{PI}\left(\right), cosTheta \cdot cosTheta, \mathsf{PI}\left(\right)\right)}\right) \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (fma
  1.0
  (/
   -1.0
   (* (* (fma (* (* alpha alpha) cosTheta) cosTheta 1.0) (PI)) (/ 0.0 0.0)))
  (*
   (/ alpha (/ 0.0 0.0))
   (/
    alpha
    (fma (* (fma alpha alpha -1.0) (PI)) (* cosTheta cosTheta) (PI))))))

Derivation

1. Initial program 98.4%

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

4. Applied rewrites -0.0%

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

5. Taylor expanded in alpha around inf

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

   1. unpow2 N/A

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

   2. lower-*.f32 -0.0

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

7. Applied rewrites -0.0%

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

8. Taylor expanded in cosTheta around 0

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

   1. +-commutative N/A

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

   2. *-commutative N/A

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

   3. lower-fma.f32 N/A

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

   4. lower-*.f32 N/A

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

   5. lower-PI.f32 N/A

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

   6. sub-neg N/A

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

   7. unpow2 N/A

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

   8. metadata-eval N/A

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

   9. lower-fma.f32 N/A

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

   10. unpow2 N/A

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

   11. lower-*.f32 N/A

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

   12. lower-PI.f32 -0.0

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

10. Applied rewrites -0.0%

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

11. Final simplification -0.0%

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

Alternative 10: 7.1% accurate, 1.6× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(1, \frac{-1}{\left(1 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{0}{0}}, \frac{\alpha}{\mathsf{fma}\left(\mathsf{fma}\left(\alpha, \alpha, -1\right) \cdot cosTheta, cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)} \cdot \frac{\alpha}{\frac{0}{0}}\right) \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (fma
  1.0
  (/ -1.0 (* (* 1.0 (PI)) (/ 0.0 0.0)))
  (*
   (/ alpha (* (fma (* (fma alpha alpha -1.0) cosTheta) cosTheta 1.0) (PI)))
   (/ alpha (/ 0.0 0.0)))))

Derivation

1. Initial program 98.4%

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

4. Applied rewrites -0.0%

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

5. Taylor expanded in cosTheta around 0

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

7. Applied rewrites -0.0%

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

8. Final simplification -0.0%

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

Alternative 11: 7.0% accurate, 1.6× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(-1, \frac{1}{\frac{0}{0} \cdot \mathsf{PI}\left(\right)}, \frac{\alpha}{\mathsf{fma}\left(cosTheta \cdot \left(\alpha \cdot \alpha - 1\right), cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)} \cdot \frac{\alpha}{\frac{0}{0}}\right) \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (fma
  -1.0
  (/ 1.0 (* (/ 0.0 0.0) (PI)))
  (*
   (/ alpha (* (fma (* cosTheta (- (* alpha alpha) 1.0)) cosTheta 1.0) (PI)))
   (/ alpha (/ 0.0 0.0)))))

Derivation

1. Initial program 98.4%

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

4. Applied rewrites -0.0%

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

   1. lift-fma.f32 N/A

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

   2. lift-*.f32 N/A

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

   3. lower-+.f32 -0.0

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

6. Applied rewrites -0.0%

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

7. Taylor expanded in cosTheta around 0

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

9. Applied rewrites -0.0%

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

10. Final simplification -0.0%

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

Alternative 12: 7.1% accurate, 1.7× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(\left(-\alpha\right) \cdot \alpha, \frac{-1}{\mathsf{PI}\left(\right) \cdot \frac{0}{0}}, \frac{-1}{\left(\mathsf{fma}\left(\mathsf{fma}\left(\alpha, \alpha, -1\right) \cdot cosTheta, cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{0}{0}}\right) \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (fma
  (* (- alpha) alpha)
  (/ -1.0 (* (PI) (/ 0.0 0.0)))
  (/
   -1.0
   (*
    (* (fma (* (fma alpha alpha -1.0) cosTheta) cosTheta 1.0) (PI))
    (/ 0.0 0.0)))))

Derivation

1. Initial program 98.4%

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

   1. lift-/.f32 N/A

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

   2. lift--.f32 N/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. div-sub N/A

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

   4. sub-neg N/A

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

   5. frac-2neg N/A

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

   6. div-inv N/A

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

   7. distribute-frac-neg2 N/A

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

4. Applied rewrites -0.0%

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

5. Taylor expanded in cosTheta around 0

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

   1. lower-PI.f32 -0.0

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

7. Applied rewrites -0.0%

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

8. Final simplification -0.0%

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

Alternative 13: 7.1% accurate, 1.8× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(1, \frac{-1}{\mathsf{PI}\left(\right) \cdot \frac{0}{0}}, \frac{\alpha}{\mathsf{fma}\left(-1 \cdot cosTheta, cosTheta, 1\right) \cdot \mathsf{PI}\left(\right)} \cdot \frac{\alpha}{\frac{0}{0}}\right) \end{array} \]

FPCore

(FPCore (cosTheta alpha)
 :precision binary32
 (fma
  1.0
  (/ -1.0 (* (PI) (/ 0.0 0.0)))
  (*
   (/ alpha (* (fma (* -1.0 cosTheta) cosTheta 1.0) (PI)))
   (/ alpha (/ 0.0 0.0)))))

Derivation

1. Initial program 98.4%

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

4. Applied rewrites -0.0%

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

5. Taylor expanded in alpha around 0

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

7. Applied rewrites -0.0%

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

8. Taylor expanded in cosTheta around 0

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

   1. lower-PI.f32 -0.0

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

10. Applied rewrites -0.0%

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

11. Final simplification -0.0%

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

Alternative 14: -0.0% accurate, 5.6× speedup

Math

\[\begin{array}{l} \\ \frac{-1}{\mathsf{PI}\left(\right) \cdot \frac{0}{0}} \end{array} \]

FPCore

(FPCore (cosTheta alpha) :precision binary32 (/ -1.0 (* (PI) (/ 0.0 0.0))))

Derivation

1. Initial program 98.4%

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

   1. lift--.f32 N/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-neg N/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-*.f32 N/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.f32 N/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-eval 7.6

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

   6. lift-*.f32 N/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-*.f32 N/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. *-commutative N/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-*.f32 N/A

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

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. Taylor expanded in alpha around 0

   \[\leadsto \frac{\color{blue}{-1}}{\mathsf{PI}\left(\right) \cdot \frac{0}{0}} \]
9. Step-by-step derivation

10. Applied rewrites -0.0%

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

Reproduce

herbie shell --seed 2024244 
(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)))))