ABCF->ab-angle angle

Percentage Accurate: 54.0% → 72.6%
Time: 10.6s
Alternatives: 13
Speedup: 2.5×

Specification

?
\[\begin{array}{l} \\ 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (*
  180.0
  (/
   (atan (* (/ 1.0 B) (- (- C A) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0))))))
   (PI))))
\begin{array}{l}

\\
180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\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 13 alternatives:

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

Initial Program: 54.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (*
  180.0
  (/
   (atan (* (/ 1.0 B) (- (- C A) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0))))))
   (PI))))
\begin{array}{l}

\\
180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)}
\end{array}

Alternative 1: 72.6% accurate, 0.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\ t_1 := \frac{C - A}{B}\\ \mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (let* ((t_0
         (* (- (- C A) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0)))) (/ 1.0 B)))
        (t_1 (/ (- C A) B)))
   (if (<= t_0 -5e-14)
     (* (/ (atan (- t_1 1.0)) (PI)) 180.0)
     (if (<= t_0 5e-30)
       (* (/ (atan (fma (/ B C) -0.5 0.0)) (cbrt (pow (PI) 3.0))) 180.0)
       (* (/ (atan (+ t_1 1.0)) (PI)) 180.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\
t_1 := \frac{C - A}{B}\\
\mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\

\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\
\;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \cdot 180\\

\mathbf{else}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < -5.0000000000000002e-14

    1. Initial program 56.5%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C}{B} - \left(1 + \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{C}{B} - \color{blue}{\left(\frac{A}{B} + 1\right)}\right)}{\mathsf{PI}\left(\right)} \]
      2. associate--r+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(\frac{C}{B} - \frac{A}{B}\right) - 1\right)}}{\mathsf{PI}\left(\right)} \]
      3. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      4. lower--.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6472.9

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} - 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites72.9%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]

    if -5.0000000000000002e-14 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < 4.99999999999999972e-30

    1. Initial program 21.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around 0

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{A - C} + 2 \cdot C\right) - 2 \cdot A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{A - C} + 2 \cdot C\right) - 2 \cdot A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
      2. associate--l+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{\frac{-1}{2} \cdot \frac{{B}^{2}}{A - C} + \left(2 \cdot C - 2 \cdot A\right)}}{B}\right)}{\mathsf{PI}\left(\right)} \]
      3. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{\left(2 \cdot C - 2 \cdot A\right) + \frac{-1}{2} \cdot \frac{{B}^{2}}{A - C}}}{B}\right)}{\mathsf{PI}\left(\right)} \]
      4. distribute-lft-out--N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{2 \cdot \left(C - A\right)} + \frac{-1}{2} \cdot \frac{{B}^{2}}{A - C}}{B}\right)}{\mathsf{PI}\left(\right)} \]
      5. *-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{\left(C - A\right) \cdot 2} + \frac{-1}{2} \cdot \frac{{B}^{2}}{A - C}}{B}\right)}{\mathsf{PI}\left(\right)} \]
      6. lower-fma.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{\mathsf{fma}\left(C - A, 2, \frac{-1}{2} \cdot \frac{{B}^{2}}{A - C}\right)}}{B}\right)}{\mathsf{PI}\left(\right)} \]
      7. lower--.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(\color{blue}{C - A}, 2, \frac{-1}{2} \cdot \frac{{B}^{2}}{A - C}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      8. associate-*r/N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \color{blue}{\frac{\frac{-1}{2} \cdot {B}^{2}}{A - C}}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      9. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\color{blue}{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)} \cdot {B}^{2}}{A - C}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      10. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \color{blue}{\frac{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right) \cdot {B}^{2}}{A - C}}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      11. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\color{blue}{\frac{-1}{2}} \cdot {B}^{2}}{A - C}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      12. unpow2N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\frac{-1}{2} \cdot \color{blue}{\left(B \cdot B\right)}}{A - C}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      13. associate-*r*N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\color{blue}{\left(\frac{-1}{2} \cdot B\right) \cdot B}}{A - C}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      14. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\color{blue}{\left(\frac{-1}{2} \cdot B\right) \cdot B}}{A - C}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      15. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\color{blue}{\left(\frac{-1}{2} \cdot B\right)} \cdot B}{A - C}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
      16. lower--.f642.5

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(-0.5 \cdot B\right) \cdot B}{\color{blue}{A - C}}\right)}{B}\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites2.5%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(-0.5 \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}}{\mathsf{PI}\left(\right)} \]
    6. Step-by-step derivation
      1. lift-PI.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(\frac{-1}{2} \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\color{blue}{\mathsf{PI}\left(\right)}} \]
      2. add-cbrt-cubeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(\frac{-1}{2} \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\color{blue}{\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}} \]
      3. lower-cbrt.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(\frac{-1}{2} \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\color{blue}{\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}}} \]
      4. rem-cube-cbrtN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(\frac{-1}{2} \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\sqrt[3]{\color{blue}{{\left(\sqrt[3]{\left(\mathsf{PI}\left(\right) \cdot \mathsf{PI}\left(\right)\right) \cdot \mathsf{PI}\left(\right)}\right)}^{3}}}} \]
      5. add-cbrt-cubeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(\frac{-1}{2} \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\sqrt[3]{{\color{blue}{\mathsf{PI}\left(\right)}}^{3}}} \]
      6. lift-PI.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(\frac{-1}{2} \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\sqrt[3]{{\color{blue}{\mathsf{PI}\left(\right)}}^{3}}} \]
      7. lower-pow.f642.5

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(-0.5 \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\sqrt[3]{\color{blue}{{\mathsf{PI}\left(\right)}^{3}}}} \]
    7. Applied rewrites2.5%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\mathsf{fma}\left(C - A, 2, \frac{\left(-0.5 \cdot B\right) \cdot B}{A - C}\right)}{B}\right)}{\color{blue}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}}} \]
    8. Taylor expanded in C around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-1 \cdot \frac{A + -1 \cdot A}{B} + \frac{-1}{2} \cdot \frac{B}{C}\right)}}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
    9. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{-1}{2} \cdot \frac{B}{C} + -1 \cdot \frac{A + -1 \cdot A}{B}\right)}}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      2. *-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{B}{C} \cdot \frac{-1}{2}} + -1 \cdot \frac{A + -1 \cdot A}{B}\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      3. distribute-rgt1-inN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{\left(-1 + 1\right) \cdot A}}{B}\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      4. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0} \cdot A}{B}\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      5. mul0-lftN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0}}{B}\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      6. div0N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \color{blue}{0}\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      7. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + \color{blue}{0}\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      8. lower-fma.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, \frac{-1}{2}, 0\right)\right)}}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
      9. lower-/.f6464.8

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\mathsf{fma}\left(\color{blue}{\frac{B}{C}}, -0.5, 0\right)\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]
    10. Applied rewrites64.8%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \]

    if 4.99999999999999972e-30 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64))))))

    1. Initial program 54.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around -inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(1 + \frac{C}{B}\right) - \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. associate--l+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(1 + \left(\frac{C}{B} - \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
      2. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(1 + \color{blue}{\frac{C - A}{B}}\right)}{\mathsf{PI}\left(\right)} \]
      3. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      4. lower-+.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} + 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6475.6

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} + 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites75.6%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification72.8%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}{\sqrt[3]{{\mathsf{PI}\left(\right)}^{3}}} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
  5. Add Preprocessing

Alternative 2: 72.7% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\ t_1 := \frac{C - A}{B}\\ \mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right) \cdot 180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (let* ((t_0
         (* (- (- C A) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0)))) (/ 1.0 B)))
        (t_1 (/ (- C A) B)))
   (if (<= t_0 -5e-14)
     (* (/ (atan (- t_1 1.0)) (PI)) 180.0)
     (if (<= t_0 5e-30)
       (/ (* (atan (fma (/ B C) -0.5 0.0)) 180.0) (PI))
       (* (/ (atan (+ t_1 1.0)) (PI)) 180.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\
t_1 := \frac{C - A}{B}\\
\mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\

\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\
\;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right) \cdot 180}{\mathsf{PI}\left(\right)}\\

\mathbf{else}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < -5.0000000000000002e-14

    1. Initial program 56.5%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C}{B} - \left(1 + \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{C}{B} - \color{blue}{\left(\frac{A}{B} + 1\right)}\right)}{\mathsf{PI}\left(\right)} \]
      2. associate--r+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(\frac{C}{B} - \frac{A}{B}\right) - 1\right)}}{\mathsf{PI}\left(\right)} \]
      3. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      4. lower--.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6472.9

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} - 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites72.9%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]

    if -5.0000000000000002e-14 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < 4.99999999999999972e-30

    1. Initial program 21.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in C around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \left(A + -1 \cdot A\right)\right)}\right)}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. distribute-rgt1-inN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{\left(-1 + 1\right) \cdot A}\right)\right)}{\mathsf{PI}\left(\right)} \]
      2. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0} \cdot A\right)\right)}{\mathsf{PI}\left(\right)} \]
      3. mul0-lftN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0}\right)\right)}{\mathsf{PI}\left(\right)} \]
      4. --rgt-identityN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      5. *-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      6. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      7. unpow2N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{\color{blue}{B \cdot B}}{C} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      8. associate-/l*N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      9. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      10. lower-/.f6434.5

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \color{blue}{\frac{B}{C}}\right) \cdot -0.5\right)\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites34.5%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\left(B \cdot \frac{B}{C}\right) \cdot -0.5\right)}\right)}{\mathsf{PI}\left(\right)} \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \color{blue}{180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      2. lift-/.f64N/A

        \[\leadsto 180 \cdot \color{blue}{\frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      3. associate-*r/N/A

        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      4. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
    7. Applied rewrites34.4%

      \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
    8. Taylor expanded in C around inf

      \[\leadsto \frac{\tan^{-1} \color{blue}{\left(-1 \cdot \frac{A + -1 \cdot A}{B} + \frac{-1}{2} \cdot \frac{B}{C}\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]
    9. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \frac{\tan^{-1} \color{blue}{\left(\frac{-1}{2} \cdot \frac{B}{C} + -1 \cdot \frac{A + -1 \cdot A}{B}\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]
      2. *-commutativeN/A

        \[\leadsto \frac{\tan^{-1} \left(\color{blue}{\frac{B}{C} \cdot \frac{-1}{2}} + -1 \cdot \frac{A + -1 \cdot A}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
      3. distribute-rgt1-inN/A

        \[\leadsto \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{\left(-1 + 1\right) \cdot A}}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
      4. metadata-evalN/A

        \[\leadsto \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0} \cdot A}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
      5. mul0-lftN/A

        \[\leadsto \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0}}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
      6. div0N/A

        \[\leadsto \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \color{blue}{0}\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
      7. metadata-evalN/A

        \[\leadsto \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + \color{blue}{0}\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
      8. lower-fma.f64N/A

        \[\leadsto \frac{\tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, \frac{-1}{2}, 0\right)\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]
      9. lower-/.f6464.8

        \[\leadsto \frac{\tan^{-1} \left(\mathsf{fma}\left(\color{blue}{\frac{B}{C}}, -0.5, 0\right)\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
    10. Applied rewrites64.8%

      \[\leadsto \frac{\tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]

    if 4.99999999999999972e-30 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64))))))

    1. Initial program 54.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around -inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(1 + \frac{C}{B}\right) - \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. associate--l+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(1 + \left(\frac{C}{B} - \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
      2. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(1 + \color{blue}{\frac{C - A}{B}}\right)}{\mathsf{PI}\left(\right)} \]
      3. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      4. lower-+.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} + 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6475.6

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} + 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites75.6%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification72.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right) \cdot 180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 72.7% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\ t_1 := \frac{C - A}{B}\\ \mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (let* ((t_0
         (* (- (- C A) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0)))) (/ 1.0 B)))
        (t_1 (/ (- C A) B)))
   (if (<= t_0 -5e-14)
     (* (/ (atan (- t_1 1.0)) (PI)) 180.0)
     (if (<= t_0 5e-30)
       (* (/ 180.0 (PI)) (atan (fma (/ B C) -0.5 0.0)))
       (* (/ (atan (+ t_1 1.0)) (PI)) 180.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\
t_1 := \frac{C - A}{B}\\
\mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\

\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\
\;\;\;\;\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < -5.0000000000000002e-14

    1. Initial program 56.5%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C}{B} - \left(1 + \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{C}{B} - \color{blue}{\left(\frac{A}{B} + 1\right)}\right)}{\mathsf{PI}\left(\right)} \]
      2. associate--r+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(\frac{C}{B} - \frac{A}{B}\right) - 1\right)}}{\mathsf{PI}\left(\right)} \]
      3. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      4. lower--.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6472.9

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} - 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites72.9%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]

    if -5.0000000000000002e-14 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < 4.99999999999999972e-30

    1. Initial program 21.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in C around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \left(A + -1 \cdot A\right)\right)}\right)}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. distribute-rgt1-inN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{\left(-1 + 1\right) \cdot A}\right)\right)}{\mathsf{PI}\left(\right)} \]
      2. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0} \cdot A\right)\right)}{\mathsf{PI}\left(\right)} \]
      3. mul0-lftN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0}\right)\right)}{\mathsf{PI}\left(\right)} \]
      4. --rgt-identityN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      5. *-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      6. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      7. unpow2N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{\color{blue}{B \cdot B}}{C} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      8. associate-/l*N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      9. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      10. lower-/.f6434.5

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \color{blue}{\frac{B}{C}}\right) \cdot -0.5\right)\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites34.5%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\left(B \cdot \frac{B}{C}\right) \cdot -0.5\right)}\right)}{\mathsf{PI}\left(\right)} \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \color{blue}{180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      2. lift-/.f64N/A

        \[\leadsto 180 \cdot \color{blue}{\frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      3. associate-*r/N/A

        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      4. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
    7. Applied rewrites34.4%

      \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
    8. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
      2. lift-*.f64N/A

        \[\leadsto \frac{\color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}}{\mathsf{PI}\left(\right)} \]
      3. associate-/l*N/A

        \[\leadsto \color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}} \]
      4. *-commutativeN/A

        \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
      5. lower-*.f64N/A

        \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
      6. lower-/.f6434.4

        \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)}} \cdot \tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \]
    9. Applied rewrites34.4%

      \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\left(\frac{B}{C} \cdot B\right) \cdot -0.5}{B}\right)} \]
    10. Taylor expanded in C around inf

      \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(-1 \cdot \frac{A + -1 \cdot A}{B} + \frac{-1}{2} \cdot \frac{B}{C}\right)} \]
    11. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\frac{-1}{2} \cdot \frac{B}{C} + -1 \cdot \frac{A + -1 \cdot A}{B}\right)} \]
      2. *-commutativeN/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\color{blue}{\frac{B}{C} \cdot \frac{-1}{2}} + -1 \cdot \frac{A + -1 \cdot A}{B}\right) \]
      3. distribute-rgt1-inN/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{\left(-1 + 1\right) \cdot A}}{B}\right) \]
      4. metadata-evalN/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0} \cdot A}{B}\right) \]
      5. mul0-lftN/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0}}{B}\right) \]
      6. div0N/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \color{blue}{0}\right) \]
      7. metadata-evalN/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + \color{blue}{0}\right) \]
      8. lower-fma.f64N/A

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, \frac{-1}{2}, 0\right)\right)} \]
      9. lower-/.f6464.8

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\mathsf{fma}\left(\color{blue}{\frac{B}{C}}, -0.5, 0\right)\right) \]
    12. Applied rewrites64.8%

      \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)} \]

    if 4.99999999999999972e-30 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64))))))

    1. Initial program 54.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around -inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(1 + \frac{C}{B}\right) - \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. associate--l+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(1 + \left(\frac{C}{B} - \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
      2. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(1 + \color{blue}{\frac{C - A}{B}}\right)}{\mathsf{PI}\left(\right)} \]
      3. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      4. lower-+.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} + 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6475.6

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} + 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites75.6%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification72.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
  5. Add Preprocessing

Alternative 4: 72.6% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\ t_1 := \frac{C - A}{B}\\ \mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (let* ((t_0
         (* (- (- C A) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0)))) (/ 1.0 B)))
        (t_1 (/ (- C A) B)))
   (if (<= t_0 -5e-14)
     (* (/ (atan (- t_1 1.0)) (PI)) 180.0)
     (if (<= t_0 5e-30)
       (* (/ (atan (fma (/ B C) -0.5 0.0)) (PI)) 180.0)
       (* (/ (atan (+ t_1 1.0)) (PI)) 180.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\
t_1 := \frac{C - A}{B}\\
\mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\

\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\
\;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}{\mathsf{PI}\left(\right)} \cdot 180\\

\mathbf{else}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < -5.0000000000000002e-14

    1. Initial program 56.5%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C}{B} - \left(1 + \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{C}{B} - \color{blue}{\left(\frac{A}{B} + 1\right)}\right)}{\mathsf{PI}\left(\right)} \]
      2. associate--r+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(\frac{C}{B} - \frac{A}{B}\right) - 1\right)}}{\mathsf{PI}\left(\right)} \]
      3. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      4. lower--.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6472.9

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} - 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites72.9%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]

    if -5.0000000000000002e-14 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < 4.99999999999999972e-30

    1. Initial program 21.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in C around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-1 \cdot \frac{A + -1 \cdot A}{B} + \frac{-1}{2} \cdot \frac{B}{C}\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{-1}{2} \cdot \frac{B}{C} + -1 \cdot \frac{A + -1 \cdot A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
      2. *-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{B}{C} \cdot \frac{-1}{2}} + -1 \cdot \frac{A + -1 \cdot A}{B}\right)}{\mathsf{PI}\left(\right)} \]
      3. distribute-rgt1-inN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{\left(-1 + 1\right) \cdot A}}{B}\right)}{\mathsf{PI}\left(\right)} \]
      4. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0} \cdot A}{B}\right)}{\mathsf{PI}\left(\right)} \]
      5. mul0-lftN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \frac{\color{blue}{0}}{B}\right)}{\mathsf{PI}\left(\right)} \]
      6. div0N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + -1 \cdot \color{blue}{0}\right)}{\mathsf{PI}\left(\right)} \]
      7. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{B}{C} \cdot \frac{-1}{2} + \color{blue}{0}\right)}{\mathsf{PI}\left(\right)} \]
      8. lower-fma.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, \frac{-1}{2}, 0\right)\right)}}{\mathsf{PI}\left(\right)} \]
      9. lower-/.f6464.7

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\mathsf{fma}\left(\color{blue}{\frac{B}{C}}, -0.5, 0\right)\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites64.7%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}}{\mathsf{PI}\left(\right)} \]

    if 4.99999999999999972e-30 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64))))))

    1. Initial program 54.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around -inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(1 + \frac{C}{B}\right) - \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. associate--l+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(1 + \left(\frac{C}{B} - \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
      2. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(1 + \color{blue}{\frac{C - A}{B}}\right)}{\mathsf{PI}\left(\right)} \]
      3. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      4. lower-+.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} + 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6475.6

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} + 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites75.6%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification72.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(\mathsf{fma}\left(\frac{B}{C}, -0.5, 0\right)\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
  5. Add Preprocessing

Alternative 5: 73.2% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\ t_1 := \frac{C - A}{B}\\ \mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot 180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (let* ((t_0
         (* (- (- C A) (sqrt (+ (pow B 2.0) (pow (- A C) 2.0)))) (/ 1.0 B)))
        (t_1 (/ (- C A) B)))
   (if (<= t_0 -5e-14)
     (* (/ (atan (- t_1 1.0)) (PI)) 180.0)
     (if (<= t_0 5e-30)
       (/ (* (atan (* 0.5 (/ B A))) 180.0) (PI))
       (* (/ (atan (+ t_1 1.0)) (PI)) 180.0)))))
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B}\\
t_1 := \frac{C - A}{B}\\
\mathbf{if}\;t\_0 \leq -5 \cdot 10^{-14}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\

\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{-30}:\\
\;\;\;\;\frac{\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot 180}{\mathsf{PI}\left(\right)}\\

\mathbf{else}:\\
\;\;\;\;\frac{\tan^{-1} \left(t\_1 + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < -5.0000000000000002e-14

    1. Initial program 56.5%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C}{B} - \left(1 + \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{C}{B} - \color{blue}{\left(\frac{A}{B} + 1\right)}\right)}{\mathsf{PI}\left(\right)} \]
      2. associate--r+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(\frac{C}{B} - \frac{A}{B}\right) - 1\right)}}{\mathsf{PI}\left(\right)} \]
      3. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      4. lower--.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} - 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6472.9

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} - 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites72.9%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} - 1\right)}}{\mathsf{PI}\left(\right)} \]

    if -5.0000000000000002e-14 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64)))))) < 4.99999999999999972e-30

    1. Initial program 21.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in C around inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \left(A + -1 \cdot A\right)\right)}\right)}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. distribute-rgt1-inN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{\left(-1 + 1\right) \cdot A}\right)\right)}{\mathsf{PI}\left(\right)} \]
      2. metadata-evalN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0} \cdot A\right)\right)}{\mathsf{PI}\left(\right)} \]
      3. mul0-lftN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0}\right)\right)}{\mathsf{PI}\left(\right)} \]
      4. --rgt-identityN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      5. *-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      6. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
      7. unpow2N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{\color{blue}{B \cdot B}}{C} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      8. associate-/l*N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      9. lower-*.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
      10. lower-/.f6434.5

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \color{blue}{\frac{B}{C}}\right) \cdot -0.5\right)\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites34.5%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\left(B \cdot \frac{B}{C}\right) \cdot -0.5\right)}\right)}{\mathsf{PI}\left(\right)} \]
    6. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \color{blue}{180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      2. lift-/.f64N/A

        \[\leadsto 180 \cdot \color{blue}{\frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      3. associate-*r/N/A

        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      4. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
    7. Applied rewrites34.4%

      \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
    8. Taylor expanded in A around -inf

      \[\leadsto \frac{\tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]
    9. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \frac{\tan^{-1} \color{blue}{\left(\frac{B}{A} \cdot \frac{1}{2}\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]
      2. lower-*.f64N/A

        \[\leadsto \frac{\tan^{-1} \color{blue}{\left(\frac{B}{A} \cdot \frac{1}{2}\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]
      3. lower-/.f6437.3

        \[\leadsto \frac{\tan^{-1} \left(\color{blue}{\frac{B}{A}} \cdot 0.5\right) \cdot 180}{\mathsf{PI}\left(\right)} \]
    10. Applied rewrites37.3%

      \[\leadsto \frac{\tan^{-1} \color{blue}{\left(\frac{B}{A} \cdot 0.5\right)} \cdot 180}{\mathsf{PI}\left(\right)} \]

    if 4.99999999999999972e-30 < (*.f64 (/.f64 #s(literal 1 binary64) B) (-.f64 (-.f64 C A) (sqrt.f64 (+.f64 (pow.f64 (-.f64 A C) #s(literal 2 binary64)) (pow.f64 B #s(literal 2 binary64))))))

    1. Initial program 54.2%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around -inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(1 + \frac{C}{B}\right) - \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. associate--l+N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(1 + \left(\frac{C}{B} - \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
      2. div-subN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(1 + \color{blue}{\frac{C - A}{B}}\right)}{\mathsf{PI}\left(\right)} \]
      3. +-commutativeN/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      4. lower-+.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
      5. lower-/.f64N/A

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} + 1\right)}{\mathsf{PI}\left(\right)} \]
      6. lower--.f6475.6

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} + 1\right)}{\mathsf{PI}\left(\right)} \]
    5. Applied rewrites75.6%

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification68.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq -5 \cdot 10^{-14}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} - 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;\left(\left(C - A\right) - \sqrt{{B}^{2} + {\left(A - C\right)}^{2}}\right) \cdot \frac{1}{B} \leq 5 \cdot 10^{-30}:\\ \;\;\;\;\frac{\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot 180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
  5. Add Preprocessing

Alternative 6: 46.9% accurate, 2.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;B \leq -59000000000000:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\ \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right) \cdot 180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
(FPCore (A B C)
 :precision binary64
 (if (<= B -59000000000000.0)
   (* (/ (atan 1.0) (PI)) 180.0)
   (if (<= B -1.45e-100)
     (* (atan (* 0.5 (/ B A))) (/ 180.0 (PI)))
     (if (<= B 3.5e+40)
       (/ (* (atan (* (/ A B) -2.0)) 180.0) (PI))
       (* (/ (atan -1.0) (PI)) 180.0)))))
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;B \leq -59000000000000:\\
\;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\

\mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\
\;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\

\mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\
\;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right) \cdot 180}{\mathsf{PI}\left(\right)}\\

\mathbf{else}:\\
\;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\


\end{array}
\end{array}
Derivation
  1. Split input into 4 regimes
  2. if B < -5.9e13

    1. Initial program 46.5%

      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in B around -inf

      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]
    4. Step-by-step derivation
      1. Applied rewrites73.4%

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]

      if -5.9e13 < B < -1.44999999999999988e-100

      1. Initial program 41.6%

        \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in C around inf

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \left(A + -1 \cdot A\right)\right)}\right)}{\mathsf{PI}\left(\right)} \]
      4. Step-by-step derivation
        1. distribute-rgt1-inN/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{\left(-1 + 1\right) \cdot A}\right)\right)}{\mathsf{PI}\left(\right)} \]
        2. metadata-evalN/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0} \cdot A\right)\right)}{\mathsf{PI}\left(\right)} \]
        3. mul0-lftN/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0}\right)\right)}{\mathsf{PI}\left(\right)} \]
        4. --rgt-identityN/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C}\right)}\right)}{\mathsf{PI}\left(\right)} \]
        5. *-commutativeN/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
        6. lower-*.f64N/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
        7. unpow2N/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{\color{blue}{B \cdot B}}{C} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
        8. associate-/l*N/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
        9. lower-*.f64N/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
        10. lower-/.f6412.2

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \color{blue}{\frac{B}{C}}\right) \cdot -0.5\right)\right)}{\mathsf{PI}\left(\right)} \]
      5. Applied rewrites12.2%

        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\left(B \cdot \frac{B}{C}\right) \cdot -0.5\right)}\right)}{\mathsf{PI}\left(\right)} \]
      6. Step-by-step derivation
        1. lift-*.f64N/A

          \[\leadsto \color{blue}{180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
        2. lift-/.f64N/A

          \[\leadsto 180 \cdot \color{blue}{\frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
        3. associate-*r/N/A

          \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
        4. lower-/.f64N/A

          \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
      7. Applied rewrites12.2%

        \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
      8. Step-by-step derivation
        1. lift-/.f64N/A

          \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
        2. lift-*.f64N/A

          \[\leadsto \frac{\color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}}{\mathsf{PI}\left(\right)} \]
        3. associate-/l*N/A

          \[\leadsto \color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}} \]
        4. *-commutativeN/A

          \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
        5. lower-*.f64N/A

          \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
        6. lower-/.f6412.2

          \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)}} \cdot \tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \]
      9. Applied rewrites12.2%

        \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\left(\frac{B}{C} \cdot B\right) \cdot -0.5}{B}\right)} \]
      10. Taylor expanded in A around -inf

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)} \]
      11. Step-by-step derivation
        1. lower-*.f64N/A

          \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)} \]
        2. lower-/.f6463.9

          \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(0.5 \cdot \color{blue}{\frac{B}{A}}\right) \]
      12. Applied rewrites63.9%

        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(0.5 \cdot \frac{B}{A}\right)} \]

      if -1.44999999999999988e-100 < B < 3.4999999999999999e40

      1. Initial program 59.3%

        \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in A around inf

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-2 \cdot \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
      4. Step-by-step derivation
        1. *-commutativeN/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
        2. lower-*.f64N/A

          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
        3. lower-/.f6436.9

          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{A}{B}} \cdot -2\right)}{\mathsf{PI}\left(\right)} \]
      5. Applied rewrites36.9%

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
      6. Step-by-step derivation
        1. lift-*.f64N/A

          \[\leadsto \color{blue}{180 \cdot \frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)}} \]
        2. lift-/.f64N/A

          \[\leadsto 180 \cdot \color{blue}{\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)}} \]
        3. associate-*r/N/A

          \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)}} \]
        4. lower-/.f64N/A

          \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)}} \]
      7. Applied rewrites36.9%

        \[\leadsto \color{blue}{\frac{\tan^{-1} \left(-2 \cdot \frac{A}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]

      if 3.4999999999999999e40 < B

      1. Initial program 42.3%

        \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in B around inf

        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
      4. Step-by-step derivation
        1. Applied rewrites63.7%

          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
      5. Recombined 4 regimes into one program.
      6. Final simplification54.8%

        \[\leadsto \begin{array}{l} \mathbf{if}\;B \leq -59000000000000:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\ \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right) \cdot 180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
      7. Add Preprocessing

      Alternative 7: 46.9% accurate, 2.4× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;B \leq -59000000000000:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\ \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
      (FPCore (A B C)
       :precision binary64
       (if (<= B -59000000000000.0)
         (* (/ (atan 1.0) (PI)) 180.0)
         (if (<= B -1.45e-100)
           (* (atan (* 0.5 (/ B A))) (/ 180.0 (PI)))
           (if (<= B 3.5e+40)
             (* (/ (atan (* (/ A B) -2.0)) (PI)) 180.0)
             (* (/ (atan -1.0) (PI)) 180.0)))))
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      \mathbf{if}\;B \leq -59000000000000:\\
      \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\
      
      \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\
      \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\
      
      \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\
      \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\
      
      \mathbf{else}:\\
      \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 4 regimes
      2. if B < -5.9e13

        1. Initial program 46.5%

          \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
        2. Add Preprocessing
        3. Taylor expanded in B around -inf

          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]
        4. Step-by-step derivation
          1. Applied rewrites73.4%

            \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]

          if -5.9e13 < B < -1.44999999999999988e-100

          1. Initial program 41.6%

            \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in C around inf

            \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \left(A + -1 \cdot A\right)\right)}\right)}{\mathsf{PI}\left(\right)} \]
          4. Step-by-step derivation
            1. distribute-rgt1-inN/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{\left(-1 + 1\right) \cdot A}\right)\right)}{\mathsf{PI}\left(\right)} \]
            2. metadata-evalN/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0} \cdot A\right)\right)}{\mathsf{PI}\left(\right)} \]
            3. mul0-lftN/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0}\right)\right)}{\mathsf{PI}\left(\right)} \]
            4. --rgt-identityN/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C}\right)}\right)}{\mathsf{PI}\left(\right)} \]
            5. *-commutativeN/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
            6. lower-*.f64N/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
            7. unpow2N/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{\color{blue}{B \cdot B}}{C} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
            8. associate-/l*N/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
            9. lower-*.f64N/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
            10. lower-/.f6412.2

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \color{blue}{\frac{B}{C}}\right) \cdot -0.5\right)\right)}{\mathsf{PI}\left(\right)} \]
          5. Applied rewrites12.2%

            \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\left(B \cdot \frac{B}{C}\right) \cdot -0.5\right)}\right)}{\mathsf{PI}\left(\right)} \]
          6. Step-by-step derivation
            1. lift-*.f64N/A

              \[\leadsto \color{blue}{180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
            2. lift-/.f64N/A

              \[\leadsto 180 \cdot \color{blue}{\frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
            3. associate-*r/N/A

              \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
            4. lower-/.f64N/A

              \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
          7. Applied rewrites12.2%

            \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
          8. Step-by-step derivation
            1. lift-/.f64N/A

              \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
            2. lift-*.f64N/A

              \[\leadsto \frac{\color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}}{\mathsf{PI}\left(\right)} \]
            3. associate-/l*N/A

              \[\leadsto \color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}} \]
            4. *-commutativeN/A

              \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
            5. lower-*.f64N/A

              \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
            6. lower-/.f6412.2

              \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)}} \cdot \tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \]
          9. Applied rewrites12.2%

            \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\left(\frac{B}{C} \cdot B\right) \cdot -0.5}{B}\right)} \]
          10. Taylor expanded in A around -inf

            \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)} \]
          11. Step-by-step derivation
            1. lower-*.f64N/A

              \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)} \]
            2. lower-/.f6463.9

              \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(0.5 \cdot \color{blue}{\frac{B}{A}}\right) \]
          12. Applied rewrites63.9%

            \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(0.5 \cdot \frac{B}{A}\right)} \]

          if -1.44999999999999988e-100 < B < 3.4999999999999999e40

          1. Initial program 59.3%

            \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in A around inf

            \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-2 \cdot \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
          4. Step-by-step derivation
            1. *-commutativeN/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
            2. lower-*.f64N/A

              \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
            3. lower-/.f6436.9

              \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{A}{B}} \cdot -2\right)}{\mathsf{PI}\left(\right)} \]
          5. Applied rewrites36.9%

            \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]

          if 3.4999999999999999e40 < B

          1. Initial program 42.3%

            \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in B around inf

            \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
          4. Step-by-step derivation
            1. Applied rewrites63.7%

              \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
          5. Recombined 4 regimes into one program.
          6. Final simplification54.8%

            \[\leadsto \begin{array}{l} \mathbf{if}\;B \leq -59000000000000:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\ \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
          7. Add Preprocessing

          Alternative 8: 46.9% accurate, 2.4× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;B \leq -59000000000000:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\ \;\;\;\;\frac{\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
          (FPCore (A B C)
           :precision binary64
           (if (<= B -59000000000000.0)
             (* (/ (atan 1.0) (PI)) 180.0)
             (if (<= B -1.45e-100)
               (* (/ (atan (* 0.5 (/ B A))) (PI)) 180.0)
               (if (<= B 3.5e+40)
                 (* (/ (atan (* (/ A B) -2.0)) (PI)) 180.0)
                 (* (/ (atan -1.0) (PI)) 180.0)))))
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          \mathbf{if}\;B \leq -59000000000000:\\
          \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\
          
          \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\
          \;\;\;\;\frac{\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right)}{\mathsf{PI}\left(\right)} \cdot 180\\
          
          \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\
          \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\
          
          \mathbf{else}:\\
          \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\
          
          
          \end{array}
          \end{array}
          
          Derivation
          1. Split input into 4 regimes
          2. if B < -5.9e13

            1. Initial program 46.5%

              \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
            2. Add Preprocessing
            3. Taylor expanded in B around -inf

              \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]
            4. Step-by-step derivation
              1. Applied rewrites73.4%

                \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]

              if -5.9e13 < B < -1.44999999999999988e-100

              1. Initial program 41.6%

                \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in A around -inf

                \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)}}{\mathsf{PI}\left(\right)} \]
              4. Step-by-step derivation
                1. *-commutativeN/A

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{B}{A} \cdot \frac{1}{2}\right)}}{\mathsf{PI}\left(\right)} \]
                2. lower-*.f64N/A

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{B}{A} \cdot \frac{1}{2}\right)}}{\mathsf{PI}\left(\right)} \]
                3. lower-/.f6463.8

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{B}{A}} \cdot 0.5\right)}{\mathsf{PI}\left(\right)} \]
              5. Applied rewrites63.8%

                \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{B}{A} \cdot 0.5\right)}}{\mathsf{PI}\left(\right)} \]

              if -1.44999999999999988e-100 < B < 3.4999999999999999e40

              1. Initial program 59.3%

                \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in A around inf

                \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-2 \cdot \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
              4. Step-by-step derivation
                1. *-commutativeN/A

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
                2. lower-*.f64N/A

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
                3. lower-/.f6436.9

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{A}{B}} \cdot -2\right)}{\mathsf{PI}\left(\right)} \]
              5. Applied rewrites36.9%

                \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]

              if 3.4999999999999999e40 < B

              1. Initial program 42.3%

                \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in B around inf

                \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
              4. Step-by-step derivation
                1. Applied rewrites63.7%

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
              5. Recombined 4 regimes into one program.
              6. Final simplification54.8%

                \[\leadsto \begin{array}{l} \mathbf{if}\;B \leq -59000000000000:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq -1.45 \cdot 10^{-100}:\\ \;\;\;\;\frac{\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
              7. Add Preprocessing

              Alternative 9: 46.5% accurate, 2.5× speedup?

              \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;B \leq -2.2 \cdot 10^{-53}:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
              (FPCore (A B C)
               :precision binary64
               (if (<= B -2.2e-53)
                 (* (/ (atan 1.0) (PI)) 180.0)
                 (if (<= B 3.5e+40)
                   (* (/ (atan (* (/ A B) -2.0)) (PI)) 180.0)
                   (* (/ (atan -1.0) (PI)) 180.0))))
              \begin{array}{l}
              
              \\
              \begin{array}{l}
              \mathbf{if}\;B \leq -2.2 \cdot 10^{-53}:\\
              \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\
              
              \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\
              \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\
              
              \mathbf{else}:\\
              \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\
              
              
              \end{array}
              \end{array}
              
              Derivation
              1. Split input into 3 regimes
              2. if B < -2.20000000000000018e-53

                1. Initial program 48.2%

                  \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                2. Add Preprocessing
                3. Taylor expanded in B around -inf

                  \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]
                4. Step-by-step derivation
                  1. Applied rewrites65.6%

                    \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]

                  if -2.20000000000000018e-53 < B < 3.4999999999999999e40

                  1. Initial program 56.3%

                    \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                  2. Add Preprocessing
                  3. Taylor expanded in A around inf

                    \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-2 \cdot \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
                  4. Step-by-step derivation
                    1. *-commutativeN/A

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
                    2. lower-*.f64N/A

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]
                    3. lower-/.f6435.3

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{A}{B}} \cdot -2\right)}{\mathsf{PI}\left(\right)} \]
                  5. Applied rewrites35.3%

                    \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{A}{B} \cdot -2\right)}}{\mathsf{PI}\left(\right)} \]

                  if 3.4999999999999999e40 < B

                  1. Initial program 42.3%

                    \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                  2. Add Preprocessing
                  3. Taylor expanded in B around inf

                    \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                  4. Step-by-step derivation
                    1. Applied rewrites63.7%

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                  5. Recombined 3 regimes into one program.
                  6. Final simplification51.5%

                    \[\leadsto \begin{array}{l} \mathbf{if}\;B \leq -2.2 \cdot 10^{-53}:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq 3.5 \cdot 10^{+40}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{A}{B} \cdot -2\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
                  7. Add Preprocessing

                  Alternative 10: 61.5% accurate, 2.5× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;A \leq -3.7 \cdot 10^{+14}:\\ \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
                  (FPCore (A B C)
                   :precision binary64
                   (if (<= A -3.7e+14)
                     (* (atan (* 0.5 (/ B A))) (/ 180.0 (PI)))
                     (* (/ (atan (+ (/ (- C A) B) 1.0)) (PI)) 180.0)))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  \mathbf{if}\;A \leq -3.7 \cdot 10^{+14}:\\
                  \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 2 regimes
                  2. if A < -3.7e14

                    1. Initial program 21.0%

                      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                    2. Add Preprocessing
                    3. Taylor expanded in C around inf

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \left(A + -1 \cdot A\right)\right)}\right)}{\mathsf{PI}\left(\right)} \]
                    4. Step-by-step derivation
                      1. distribute-rgt1-inN/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{\left(-1 + 1\right) \cdot A}\right)\right)}{\mathsf{PI}\left(\right)} \]
                      2. metadata-evalN/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0} \cdot A\right)\right)}{\mathsf{PI}\left(\right)} \]
                      3. mul0-lftN/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C} - \color{blue}{0}\right)\right)}{\mathsf{PI}\left(\right)} \]
                      4. --rgt-identityN/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{-1}{2} \cdot \frac{{B}^{2}}{C}\right)}\right)}{\mathsf{PI}\left(\right)} \]
                      5. *-commutativeN/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
                      6. lower-*.f64N/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\frac{{B}^{2}}{C} \cdot \frac{-1}{2}\right)}\right)}{\mathsf{PI}\left(\right)} \]
                      7. unpow2N/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\frac{\color{blue}{B \cdot B}}{C} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
                      8. associate-/l*N/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
                      9. lower-*.f64N/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\color{blue}{\left(B \cdot \frac{B}{C}\right)} \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)} \]
                      10. lower-/.f6420.4

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \color{blue}{\frac{B}{C}}\right) \cdot -0.5\right)\right)}{\mathsf{PI}\left(\right)} \]
                    5. Applied rewrites20.4%

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \color{blue}{\left(\left(B \cdot \frac{B}{C}\right) \cdot -0.5\right)}\right)}{\mathsf{PI}\left(\right)} \]
                    6. Step-by-step derivation
                      1. lift-*.f64N/A

                        \[\leadsto \color{blue}{180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
                      2. lift-/.f64N/A

                        \[\leadsto 180 \cdot \color{blue}{\frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
                      3. associate-*r/N/A

                        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
                      4. lower-/.f64N/A

                        \[\leadsto \color{blue}{\frac{180 \cdot \tan^{-1} \left(\frac{1}{B} \cdot \left(\left(B \cdot \frac{B}{C}\right) \cdot \frac{-1}{2}\right)\right)}{\mathsf{PI}\left(\right)}} \]
                    7. Applied rewrites20.4%

                      \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
                    8. Step-by-step derivation
                      1. lift-/.f64N/A

                        \[\leadsto \color{blue}{\frac{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}{\mathsf{PI}\left(\right)}} \]
                      2. lift-*.f64N/A

                        \[\leadsto \frac{\color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot 180}}{\mathsf{PI}\left(\right)} \]
                      3. associate-/l*N/A

                        \[\leadsto \color{blue}{\tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}} \]
                      4. *-commutativeN/A

                        \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
                      5. lower-*.f64N/A

                        \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\frac{-1}{2} \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right)} \]
                      6. lower-/.f6420.4

                        \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)}} \cdot \tan^{-1} \left(\frac{-0.5 \cdot \left(\frac{B}{C} \cdot B\right)}{B}\right) \]
                    9. Applied rewrites20.4%

                      \[\leadsto \color{blue}{\frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(\frac{\left(\frac{B}{C} \cdot B\right) \cdot -0.5}{B}\right)} \]
                    10. Taylor expanded in A around -inf

                      \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)} \]
                    11. Step-by-step derivation
                      1. lower-*.f64N/A

                        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(\frac{1}{2} \cdot \frac{B}{A}\right)} \]
                      2. lower-/.f6476.0

                        \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \left(0.5 \cdot \color{blue}{\frac{B}{A}}\right) \]
                    12. Applied rewrites76.0%

                      \[\leadsto \frac{180}{\mathsf{PI}\left(\right)} \cdot \tan^{-1} \color{blue}{\left(0.5 \cdot \frac{B}{A}\right)} \]

                    if -3.7e14 < A

                    1. Initial program 60.3%

                      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                    2. Add Preprocessing
                    3. Taylor expanded in B around -inf

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\left(1 + \frac{C}{B}\right) - \frac{A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
                    4. Step-by-step derivation
                      1. associate--l+N/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(1 + \left(\frac{C}{B} - \frac{A}{B}\right)\right)}}{\mathsf{PI}\left(\right)} \]
                      2. div-subN/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(1 + \color{blue}{\frac{C - A}{B}}\right)}{\mathsf{PI}\left(\right)} \]
                      3. +-commutativeN/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
                      4. lower-+.f64N/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
                      5. lower-/.f64N/A

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\color{blue}{\frac{C - A}{B}} + 1\right)}{\mathsf{PI}\left(\right)} \]
                      6. lower--.f6458.6

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \left(\frac{\color{blue}{C - A}}{B} + 1\right)}{\mathsf{PI}\left(\right)} \]
                    5. Applied rewrites58.6%

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(\frac{C - A}{B} + 1\right)}}{\mathsf{PI}\left(\right)} \]
                  3. Recombined 2 regimes into one program.
                  4. Final simplification63.0%

                    \[\leadsto \begin{array}{l} \mathbf{if}\;A \leq -3.7 \cdot 10^{+14}:\\ \;\;\;\;\tan^{-1} \left(0.5 \cdot \frac{B}{A}\right) \cdot \frac{180}{\mathsf{PI}\left(\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} \left(\frac{C - A}{B} + 1\right)}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
                  5. Add Preprocessing

                  Alternative 11: 45.2% accurate, 2.8× speedup?

                  \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;B \leq -2.9 \cdot 10^{-64}:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq 1.4 \cdot 10^{-78}:\\ \;\;\;\;\frac{\tan^{-1} 0}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
                  (FPCore (A B C)
                   :precision binary64
                   (if (<= B -2.9e-64)
                     (* (/ (atan 1.0) (PI)) 180.0)
                     (if (<= B 1.4e-78)
                       (* (/ (atan 0.0) (PI)) 180.0)
                       (* (/ (atan -1.0) (PI)) 180.0))))
                  \begin{array}{l}
                  
                  \\
                  \begin{array}{l}
                  \mathbf{if}\;B \leq -2.9 \cdot 10^{-64}:\\
                  \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\
                  
                  \mathbf{elif}\;B \leq 1.4 \cdot 10^{-78}:\\
                  \;\;\;\;\frac{\tan^{-1} 0}{\mathsf{PI}\left(\right)} \cdot 180\\
                  
                  \mathbf{else}:\\
                  \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\
                  
                  
                  \end{array}
                  \end{array}
                  
                  Derivation
                  1. Split input into 3 regimes
                  2. if B < -2.8999999999999999e-64

                    1. Initial program 48.8%

                      \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                    2. Add Preprocessing
                    3. Taylor expanded in B around -inf

                      \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]
                    4. Step-by-step derivation
                      1. Applied rewrites65.0%

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{1}}{\mathsf{PI}\left(\right)} \]

                      if -2.8999999999999999e-64 < B < 1.40000000000000012e-78

                      1. Initial program 52.7%

                        \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                      2. Add Preprocessing
                      3. Taylor expanded in C around inf

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-1 \cdot \frac{A + -1 \cdot A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
                      4. Step-by-step derivation
                        1. distribute-rgt1-inN/A

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \frac{\color{blue}{\left(-1 + 1\right) \cdot A}}{B}\right)}{\mathsf{PI}\left(\right)} \]
                        2. metadata-evalN/A

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \frac{\color{blue}{0} \cdot A}{B}\right)}{\mathsf{PI}\left(\right)} \]
                        3. mul0-lftN/A

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \frac{\color{blue}{0}}{B}\right)}{\mathsf{PI}\left(\right)} \]
                        4. div0N/A

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \color{blue}{0}\right)}{\mathsf{PI}\left(\right)} \]
                        5. metadata-eval27.0

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{0}}{\mathsf{PI}\left(\right)} \]
                      5. Applied rewrites27.0%

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{0}}{\mathsf{PI}\left(\right)} \]

                      if 1.40000000000000012e-78 < B

                      1. Initial program 49.2%

                        \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                      2. Add Preprocessing
                      3. Taylor expanded in B around inf

                        \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                      4. Step-by-step derivation
                        1. Applied rewrites52.9%

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                      5. Recombined 3 regimes into one program.
                      6. Final simplification47.3%

                        \[\leadsto \begin{array}{l} \mathbf{if}\;B \leq -2.9 \cdot 10^{-64}:\\ \;\;\;\;\frac{\tan^{-1} 1}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{elif}\;B \leq 1.4 \cdot 10^{-78}:\\ \;\;\;\;\frac{\tan^{-1} 0}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
                      7. Add Preprocessing

                      Alternative 12: 29.4% accurate, 2.9× speedup?

                      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;B \leq 1.4 \cdot 10^{-78}:\\ \;\;\;\;\frac{\tan^{-1} 0}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \end{array} \]
                      (FPCore (A B C)
                       :precision binary64
                       (if (<= B 1.4e-78)
                         (* (/ (atan 0.0) (PI)) 180.0)
                         (* (/ (atan -1.0) (PI)) 180.0)))
                      \begin{array}{l}
                      
                      \\
                      \begin{array}{l}
                      \mathbf{if}\;B \leq 1.4 \cdot 10^{-78}:\\
                      \;\;\;\;\frac{\tan^{-1} 0}{\mathsf{PI}\left(\right)} \cdot 180\\
                      
                      \mathbf{else}:\\
                      \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\
                      
                      
                      \end{array}
                      \end{array}
                      
                      Derivation
                      1. Split input into 2 regimes
                      2. if B < 1.40000000000000012e-78

                        1. Initial program 50.9%

                          \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                        2. Add Preprocessing
                        3. Taylor expanded in C around inf

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{\left(-1 \cdot \frac{A + -1 \cdot A}{B}\right)}}{\mathsf{PI}\left(\right)} \]
                        4. Step-by-step derivation
                          1. distribute-rgt1-inN/A

                            \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \frac{\color{blue}{\left(-1 + 1\right) \cdot A}}{B}\right)}{\mathsf{PI}\left(\right)} \]
                          2. metadata-evalN/A

                            \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \frac{\color{blue}{0} \cdot A}{B}\right)}{\mathsf{PI}\left(\right)} \]
                          3. mul0-lftN/A

                            \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \frac{\color{blue}{0}}{B}\right)}{\mathsf{PI}\left(\right)} \]
                          4. div0N/A

                            \[\leadsto 180 \cdot \frac{\tan^{-1} \left(-1 \cdot \color{blue}{0}\right)}{\mathsf{PI}\left(\right)} \]
                          5. metadata-eval16.3

                            \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{0}}{\mathsf{PI}\left(\right)} \]
                        5. Applied rewrites16.3%

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{0}}{\mathsf{PI}\left(\right)} \]

                        if 1.40000000000000012e-78 < B

                        1. Initial program 49.2%

                          \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                        2. Add Preprocessing
                        3. Taylor expanded in B around inf

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                        4. Step-by-step derivation
                          1. Applied rewrites52.9%

                            \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                        5. Recombined 2 regimes into one program.
                        6. Final simplification28.6%

                          \[\leadsto \begin{array}{l} \mathbf{if}\;B \leq 1.4 \cdot 10^{-78}:\\ \;\;\;\;\frac{\tan^{-1} 0}{\mathsf{PI}\left(\right)} \cdot 180\\ \mathbf{else}:\\ \;\;\;\;\frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180\\ \end{array} \]
                        7. Add Preprocessing

                        Alternative 13: 21.1% accurate, 3.1× speedup?

                        \[\begin{array}{l} \\ \frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180 \end{array} \]
                        (FPCore (A B C) :precision binary64 (* (/ (atan -1.0) (PI)) 180.0))
                        \begin{array}{l}
                        
                        \\
                        \frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180
                        \end{array}
                        
                        Derivation
                        1. Initial program 50.3%

                          \[180 \cdot \frac{\tan^{-1} \left(\frac{1}{B} \cdot \left(\left(C - A\right) - \sqrt{{\left(A - C\right)}^{2} + {B}^{2}}\right)\right)}{\mathsf{PI}\left(\right)} \]
                        2. Add Preprocessing
                        3. Taylor expanded in B around inf

                          \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                        4. Step-by-step derivation
                          1. Applied rewrites21.4%

                            \[\leadsto 180 \cdot \frac{\tan^{-1} \color{blue}{-1}}{\mathsf{PI}\left(\right)} \]
                          2. Final simplification21.4%

                            \[\leadsto \frac{\tan^{-1} -1}{\mathsf{PI}\left(\right)} \cdot 180 \]
                          3. Add Preprocessing

                          Reproduce

                          ?
                          herbie shell --seed 2024249 
                          (FPCore (A B C)
                            :name "ABCF->ab-angle angle"
                            :precision binary64
                            (* 180.0 (/ (atan (* (/ 1.0 B) (- (- C A) (sqrt (+ (pow (- A C) 2.0) (pow B 2.0)))))) (PI))))