2-ancestry mixing, negative discriminant

Percentage Accurate: 98.5% → 99.9%
Time: 8.8s
Alternatives: 3
Speedup: 1.1×

Specification

?
\[\begin{array}{l} \\ 2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \end{array} \]
(FPCore (g h)
 :precision binary64
 (* 2.0 (cos (+ (/ (* 2.0 (PI)) 3.0) (/ (acos (/ (- g) h)) 3.0)))))
\begin{array}{l}

\\
2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)
\end{array}

Sampling outcomes in binary64 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 3 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?

\[\begin{array}{l} \\ 2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \end{array} \]
(FPCore (g h)
 :precision binary64
 (* 2.0 (cos (+ (/ (* 2.0 (PI)) 3.0) (/ (acos (/ (- g) h)) 3.0)))))
\begin{array}{l}

\\
2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)
\end{array}

Alternative 1: 99.9% accurate, 0.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos^{-1} \left(\frac{-g}{h}\right)\\ t_1 := \cos \left(\mathsf{fma}\left(0.3333333333333333, t\_0, -0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right)\\ \frac{2 \cdot \cos \left(\mathsf{fma}\left(0.3333333333333333, t\_0, \mathsf{PI}\left(\right) \cdot 0.6666666666666666\right)\right)}{t\_1} \cdot t\_1 \end{array} \end{array} \]
(FPCore (g h)
 :precision binary64
 (let* ((t_0 (acos (/ (- g) h)))
        (t_1 (cos (fma 0.3333333333333333 t_0 (* -0.6666666666666666 (PI))))))
   (*
    (/
     (* 2.0 (cos (fma 0.3333333333333333 t_0 (* (PI) 0.6666666666666666))))
     t_1)
    t_1)))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos^{-1} \left(\frac{-g}{h}\right)\\
t_1 := \cos \left(\mathsf{fma}\left(0.3333333333333333, t\_0, -0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right)\\
\frac{2 \cdot \cos \left(\mathsf{fma}\left(0.3333333333333333, t\_0, \mathsf{PI}\left(\right) \cdot 0.6666666666666666\right)\right)}{t\_1} \cdot t\_1
\end{array}
\end{array}
Derivation
  1. Initial program 98.4%

    \[2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
  2. Add Preprocessing
  3. Applied rewrites98.4%

    \[\leadsto 2 \cdot \color{blue}{\left(\left(\cos \left(-0.3333333333333333 \cdot \mathsf{fma}\left(-2, \mathsf{PI}\left(\right), \cos^{-1} \left(\frac{-g}{h}\right)\right)\right) \cdot \cos \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right), 0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right)\right) \cdot \frac{1}{\cos \left(-0.3333333333333333 \cdot \mathsf{fma}\left(-2, \mathsf{PI}\left(\right), \cos^{-1} \left(\frac{-g}{h}\right)\right)\right)}\right)} \]
  4. Applied rewrites99.9%

    \[\leadsto \color{blue}{\frac{\cos \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right), 0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot 2}{\cos \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right), -0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \cos \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right), -0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
  5. Final simplification99.9%

    \[\leadsto \frac{2 \cdot \cos \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right), \mathsf{PI}\left(\right) \cdot 0.6666666666666666\right)\right)}{\cos \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right), -0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right)} \cdot \cos \left(\mathsf{fma}\left(0.3333333333333333, \cos^{-1} \left(\frac{-g}{h}\right), -0.6666666666666666 \cdot \mathsf{PI}\left(\right)\right)\right) \]
  6. Add Preprocessing

Alternative 2: 98.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \cos \left(\mathsf{fma}\left(-0.1111111111111111 \cdot \mathsf{PI}\left(\right), -6, \cos^{-1} \left(\frac{-g}{h}\right) \cdot 0.3333333333333333\right)\right) \cdot 2 \end{array} \]
(FPCore (g h)
 :precision binary64
 (*
  (cos
   (fma
    (* -0.1111111111111111 (PI))
    -6.0
    (* (acos (/ (- g) h)) 0.3333333333333333)))
  2.0))
\begin{array}{l}

\\
\cos \left(\mathsf{fma}\left(-0.1111111111111111 \cdot \mathsf{PI}\left(\right), -6, \cos^{-1} \left(\frac{-g}{h}\right) \cdot 0.3333333333333333\right)\right) \cdot 2
\end{array}
Derivation
  1. Initial program 98.4%

    \[2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-+.f64N/A

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

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3} + \frac{2 \cdot \mathsf{PI}\left(\right)}{3}\right)} \]
    3. lift-/.f64N/A

      \[\leadsto 2 \cdot \cos \left(\color{blue}{\frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}} + \frac{2 \cdot \mathsf{PI}\left(\right)}{3}\right) \]
    4. lift-/.f64N/A

      \[\leadsto 2 \cdot \cos \left(\frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3} + \color{blue}{\frac{2 \cdot \mathsf{PI}\left(\right)}{3}}\right) \]
    5. frac-2negN/A

      \[\leadsto 2 \cdot \cos \left(\frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3} + \color{blue}{\frac{\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)}{\mathsf{neg}\left(3\right)}}\right) \]
    6. frac-addN/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + 3 \cdot \left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}{3 \cdot \left(\mathsf{neg}\left(3\right)\right)}\right)} \]
    7. clear-numN/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{1}{\frac{3 \cdot \left(\mathsf{neg}\left(3\right)\right)}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + 3 \cdot \left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}}\right)} \]
    8. lower-/.f64N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{1}{\frac{3 \cdot \left(\mathsf{neg}\left(3\right)\right)}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + 3 \cdot \left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}}\right)} \]
    9. lower-/.f64N/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\color{blue}{\frac{3 \cdot \left(\mathsf{neg}\left(3\right)\right)}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + 3 \cdot \left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}}}\right) \]
    10. metadata-evalN/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\frac{3 \cdot \color{blue}{-3}}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + 3 \cdot \left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}}\right) \]
    11. metadata-evalN/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\frac{\color{blue}{-9}}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + 3 \cdot \left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right)}}\right) \]
    12. distribute-rgt-neg-outN/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\frac{-9}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + \color{blue}{\left(\mathsf{neg}\left(3 \cdot \left(2 \cdot \mathsf{PI}\left(\right)\right)\right)\right)}}}\right) \]
    13. *-commutativeN/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\frac{-9}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + \left(\mathsf{neg}\left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot 3}\right)\right)}}\right) \]
    14. distribute-lft-neg-outN/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\frac{-9}{\cos^{-1} \left(\frac{-g}{h}\right) \cdot \left(\mathsf{neg}\left(3\right)\right) + \color{blue}{\left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot 3}}}\right) \]
    15. lower-fma.f64N/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\frac{-9}{\color{blue}{\mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right), \mathsf{neg}\left(3\right), \left(\mathsf{neg}\left(2 \cdot \mathsf{PI}\left(\right)\right)\right) \cdot 3\right)}}}\right) \]
  4. Applied rewrites98.5%

    \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{1}{\frac{-9}{\mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right), -3, -6 \cdot \mathsf{PI}\left(\right)\right)}}\right)} \]
  5. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{1}{\frac{-9}{\mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right), -3, -6 \cdot \mathsf{PI}\left(\right)\right)}}\right)} \]
    2. lift-/.f64N/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{\color{blue}{\frac{-9}{\mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right), -3, -6 \cdot \mathsf{PI}\left(\right)\right)}}}\right) \]
    3. associate-/r/N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{1}{-9} \cdot \mathsf{fma}\left(\cos^{-1} \left(\frac{-g}{h}\right), -3, -6 \cdot \mathsf{PI}\left(\right)\right)\right)} \]
    4. lift-fma.f64N/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{-9} \cdot \color{blue}{\left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3 + -6 \cdot \mathsf{PI}\left(\right)\right)}\right) \]
    5. +-commutativeN/A

      \[\leadsto 2 \cdot \cos \left(\frac{1}{-9} \cdot \color{blue}{\left(-6 \cdot \mathsf{PI}\left(\right) + \cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right)}\right) \]
    6. distribute-rgt-inN/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\left(-6 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{1}{-9} + \left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right) \cdot \frac{1}{-9}\right)} \]
    7. lower-fma.f64N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\mathsf{fma}\left(-6 \cdot \mathsf{PI}\left(\right), \frac{1}{-9}, \left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right) \cdot \frac{1}{-9}\right)\right)} \]
    8. lift-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\color{blue}{-6 \cdot \mathsf{PI}\left(\right)}, \frac{1}{-9}, \left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right) \cdot \frac{1}{-9}\right)\right) \]
    9. *-commutativeN/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot -6}, \frac{1}{-9}, \left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right) \cdot \frac{1}{-9}\right)\right) \]
    10. lower-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\color{blue}{\mathsf{PI}\left(\right) \cdot -6}, \frac{1}{-9}, \left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right) \cdot \frac{1}{-9}\right)\right) \]
    11. metadata-evalN/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot -6, \color{blue}{\frac{-1}{9}}, \left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right) \cdot \frac{1}{-9}\right)\right) \]
    12. lower-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot -6, \frac{-1}{9}, \color{blue}{\left(\cos^{-1} \left(\frac{-g}{h}\right) \cdot -3\right) \cdot \frac{1}{-9}}\right)\right) \]
    13. *-commutativeN/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot -6, \frac{-1}{9}, \color{blue}{\left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)} \cdot \frac{1}{-9}\right)\right) \]
    14. lower-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot -6, \frac{-1}{9}, \color{blue}{\left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)} \cdot \frac{1}{-9}\right)\right) \]
    15. metadata-eval98.5

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot -6, -0.1111111111111111, \left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \cdot \color{blue}{-0.1111111111111111}\right)\right) \]
  6. Applied rewrites98.5%

    \[\leadsto 2 \cdot \cos \color{blue}{\left(\mathsf{fma}\left(\mathsf{PI}\left(\right) \cdot -6, -0.1111111111111111, \left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \cdot -0.1111111111111111\right)\right)} \]
  7. Step-by-step derivation
    1. lift-fma.f64N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\left(\mathsf{PI}\left(\right) \cdot -6\right) \cdot \frac{-1}{9} + \left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \cdot \frac{-1}{9}\right)} \]
    2. *-commutativeN/A

      \[\leadsto 2 \cdot \cos \left(\color{blue}{\frac{-1}{9} \cdot \left(\mathsf{PI}\left(\right) \cdot -6\right)} + \left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \cdot \frac{-1}{9}\right) \]
    3. lift-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\frac{-1}{9} \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot -6\right)} + \left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \cdot \frac{-1}{9}\right) \]
    4. associate-*r*N/A

      \[\leadsto 2 \cdot \cos \left(\color{blue}{\left(\frac{-1}{9} \cdot \mathsf{PI}\left(\right)\right) \cdot -6} + \left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \cdot \frac{-1}{9}\right) \]
    5. lift-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\left(\frac{-1}{9} \cdot \mathsf{PI}\left(\right)\right) \cdot -6 + \color{blue}{\left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \cdot \frac{-1}{9}}\right) \]
    6. *-commutativeN/A

      \[\leadsto 2 \cdot \cos \left(\left(\frac{-1}{9} \cdot \mathsf{PI}\left(\right)\right) \cdot -6 + \color{blue}{\frac{-1}{9} \cdot \left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)}\right) \]
    7. lift-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\left(\frac{-1}{9} \cdot \mathsf{PI}\left(\right)\right) \cdot -6 + \frac{-1}{9} \cdot \color{blue}{\left(-3 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)}\right) \]
    8. associate-*r*N/A

      \[\leadsto 2 \cdot \cos \left(\left(\frac{-1}{9} \cdot \mathsf{PI}\left(\right)\right) \cdot -6 + \color{blue}{\left(\frac{-1}{9} \cdot -3\right) \cdot \cos^{-1} \left(\frac{-g}{h}\right)}\right) \]
    9. metadata-evalN/A

      \[\leadsto 2 \cdot \cos \left(\left(\frac{-1}{9} \cdot \mathsf{PI}\left(\right)\right) \cdot -6 + \color{blue}{\frac{1}{3}} \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right) \]
    10. lower-fma.f64N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\mathsf{fma}\left(\frac{-1}{9} \cdot \mathsf{PI}\left(\right), -6, \frac{1}{3} \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)\right)} \]
    11. lower-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\color{blue}{\frac{-1}{9} \cdot \mathsf{PI}\left(\right)}, -6, \frac{1}{3} \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)\right) \]
    12. lower-*.f6498.5

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(-0.1111111111111111 \cdot \mathsf{PI}\left(\right), -6, \color{blue}{0.3333333333333333 \cdot \cos^{-1} \left(\frac{-g}{h}\right)}\right)\right) \]
  8. Applied rewrites98.5%

    \[\leadsto 2 \cdot \cos \color{blue}{\left(\mathsf{fma}\left(-0.1111111111111111 \cdot \mathsf{PI}\left(\right), -6, 0.3333333333333333 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)\right)} \]
  9. Final simplification98.5%

    \[\leadsto \cos \left(\mathsf{fma}\left(-0.1111111111111111 \cdot \mathsf{PI}\left(\right), -6, \cos^{-1} \left(\frac{-g}{h}\right) \cdot 0.3333333333333333\right)\right) \cdot 2 \]
  10. Add Preprocessing

Alternative 3: 98.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.6666666666666666, \cos^{-1} \left(\frac{-g}{h}\right) \cdot 0.3333333333333333\right)\right) \cdot 2 \end{array} \]
(FPCore (g h)
 :precision binary64
 (*
  (cos (fma (PI) 0.6666666666666666 (* (acos (/ (- g) h)) 0.3333333333333333)))
  2.0))
\begin{array}{l}

\\
\cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.6666666666666666, \cos^{-1} \left(\frac{-g}{h}\right) \cdot 0.3333333333333333\right)\right) \cdot 2
\end{array}
Derivation
  1. Initial program 98.4%

    \[2 \cdot \cos \left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-+.f64N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\frac{2 \cdot \mathsf{PI}\left(\right)}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)} \]
    2. lift-/.f64N/A

      \[\leadsto 2 \cdot \cos \left(\color{blue}{\frac{2 \cdot \mathsf{PI}\left(\right)}{3}} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
    3. div-invN/A

      \[\leadsto 2 \cdot \cos \left(\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot \frac{1}{3}} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
    4. lift-*.f64N/A

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

      \[\leadsto 2 \cdot \cos \left(\color{blue}{\left(\mathsf{PI}\left(\right) \cdot 2\right)} \cdot \frac{1}{3} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
    6. associate-*l*N/A

      \[\leadsto 2 \cdot \cos \left(\color{blue}{\mathsf{PI}\left(\right) \cdot \left(2 \cdot \frac{1}{3}\right)} + \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right) \]
    7. lower-fma.f64N/A

      \[\leadsto 2 \cdot \cos \color{blue}{\left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 2 \cdot \frac{1}{3}, \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)\right)} \]
    8. metadata-evalN/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 2 \cdot \color{blue}{\frac{1}{3}}, \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)\right) \]
    9. metadata-eval98.5

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), \color{blue}{0.6666666666666666}, \frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}\right)\right) \]
    10. lift-/.f64N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{2}{3}, \color{blue}{\frac{\cos^{-1} \left(\frac{-g}{h}\right)}{3}}\right)\right) \]
    11. clear-numN/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{2}{3}, \color{blue}{\frac{1}{\frac{3}{\cos^{-1} \left(\frac{-g}{h}\right)}}}\right)\right) \]
    12. associate-/r/N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{2}{3}, \color{blue}{\frac{1}{3} \cdot \cos^{-1} \left(\frac{-g}{h}\right)}\right)\right) \]
    13. lower-*.f64N/A

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), \frac{2}{3}, \color{blue}{\frac{1}{3} \cdot \cos^{-1} \left(\frac{-g}{h}\right)}\right)\right) \]
    14. metadata-eval98.5

      \[\leadsto 2 \cdot \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.6666666666666666, \color{blue}{0.3333333333333333} \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)\right) \]
  4. Applied rewrites98.5%

    \[\leadsto 2 \cdot \cos \color{blue}{\left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.6666666666666666, 0.3333333333333333 \cdot \cos^{-1} \left(\frac{-g}{h}\right)\right)\right)} \]
  5. Final simplification98.5%

    \[\leadsto \cos \left(\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.6666666666666666, \cos^{-1} \left(\frac{-g}{h}\right) \cdot 0.3333333333333333\right)\right) \cdot 2 \]
  6. Add Preprocessing

Reproduce

?
herbie shell --seed 2024242 
(FPCore (g h)
  :name "2-ancestry mixing, negative discriminant"
  :precision binary64
  (* 2.0 (cos (+ (/ (* 2.0 (PI)) 3.0) (/ (acos (/ (- g) h)) 3.0)))))