2-ancestry mixing, zero discriminant

Percentage Accurate: 76.9% → 98.7%
Time: 8.7s
Alternatives: 7
Speedup: 1.0×

Specification

?
\[\begin{array}{l} \\ \sqrt[3]{\frac{g}{2 \cdot a}} \end{array} \]
(FPCore (g a) :precision binary64 (cbrt (/ g (* 2.0 a))))
double code(double g, double a) {
	return cbrt((g / (2.0 * a)));
}
public static double code(double g, double a) {
	return Math.cbrt((g / (2.0 * a)));
}
function code(g, a)
	return cbrt(Float64(g / Float64(2.0 * a)))
end
code[g_, a_] := N[Power[N[(g / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{\frac{g}{2 \cdot a}}
\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 7 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: 76.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt[3]{\frac{g}{2 \cdot a}} \end{array} \]
(FPCore (g a) :precision binary64 (cbrt (/ g (* 2.0 a))))
double code(double g, double a) {
	return cbrt((g / (2.0 * a)));
}
public static double code(double g, double a) {
	return Math.cbrt((g / (2.0 * a)));
}
function code(g, a)
	return cbrt(Float64(g / Float64(2.0 * a)))
end
code[g_, a_] := N[Power[N[(g / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{\frac{g}{2 \cdot a}}
\end{array}

Alternative 1: 98.7% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \frac{\sqrt[3]{\frac{1}{\frac{2}{g}}}}{\sqrt[3]{a}} \end{array} \]
(FPCore (g a) :precision binary64 (/ (cbrt (/ 1.0 (/ 2.0 g))) (cbrt a)))
double code(double g, double a) {
	return cbrt((1.0 / (2.0 / g))) / cbrt(a);
}
public static double code(double g, double a) {
	return Math.cbrt((1.0 / (2.0 / g))) / Math.cbrt(a);
}
function code(g, a)
	return Float64(cbrt(Float64(1.0 / Float64(2.0 / g))) / cbrt(a))
end
code[g_, a_] := N[(N[Power[N[(1.0 / N[(2.0 / g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\sqrt[3]{\frac{1}{\frac{2}{g}}}}{\sqrt[3]{a}}
\end{array}
Derivation
  1. Initial program 78.1%

    \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. clear-numN/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2 \cdot a}{g}}}} \]
    2. associate-/r/N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
    3. cbrt-prodN/A

      \[\leadsto \color{blue}{\sqrt[3]{\frac{1}{2 \cdot a}} \cdot \sqrt[3]{g}} \]
    4. cbrt-divN/A

      \[\leadsto \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{2 \cdot a}}} \cdot \sqrt[3]{g} \]
    5. metadata-evalN/A

      \[\leadsto \frac{\color{blue}{1}}{\sqrt[3]{2 \cdot a}} \cdot \sqrt[3]{g} \]
    6. cbrt-prodN/A

      \[\leadsto \frac{1}{\color{blue}{\sqrt[3]{2} \cdot \sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
    7. associate-/r*N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{\sqrt[3]{2}}}{\sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
    8. pow1/3N/A

      \[\leadsto \frac{\frac{1}{\color{blue}{{2}^{\frac{1}{3}}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    9. pow-flipN/A

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

      \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    11. metadata-evalN/A

      \[\leadsto \frac{{2}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    12. associate-*l/N/A

      \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
    13. /-lowering-/.f64N/A

      \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
    14. *-lowering-*.f64N/A

      \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}}{\sqrt[3]{a}} \]
    15. pow-lowering-pow.f64N/A

      \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
    16. metadata-evalN/A

      \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
    17. cbrt-lowering-cbrt.f64N/A

      \[\leadsto \frac{{2}^{\frac{-1}{3}} \cdot \color{blue}{\sqrt[3]{g}}}{\sqrt[3]{a}} \]
    18. cbrt-lowering-cbrt.f6498.6

      \[\leadsto \frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\color{blue}{\sqrt[3]{a}}} \]
  4. Applied egg-rr98.6%

    \[\leadsto \color{blue}{\frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
  5. Step-by-step derivation
    1. div-invN/A

      \[\leadsto \color{blue}{\left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{g}\right) \cdot \frac{1}{\sqrt[3]{a}}} \]
    2. *-commutativeN/A

      \[\leadsto \color{blue}{\left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right)} \cdot \frac{1}{\sqrt[3]{a}} \]
    3. metadata-evalN/A

      \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \frac{\color{blue}{\sqrt[3]{1}}}{\sqrt[3]{a}} \]
    4. cbrt-divN/A

      \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \color{blue}{\sqrt[3]{\frac{1}{a}}} \]
    5. associate-*l*N/A

      \[\leadsto \color{blue}{\sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{\frac{1}{a}}\right)} \]
    6. cbrt-divN/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{a}}}\right) \]
    7. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{\color{blue}{1}}{\sqrt[3]{a}}\right) \]
    8. pow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{1}{\color{blue}{{a}^{\frac{1}{3}}}}\right) \]
    9. pow-flipN/A

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

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot {a}^{\color{blue}{\frac{-1}{3}}}\right) \]
    11. pow-prod-downN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left(2 \cdot a\right)}^{\frac{-1}{3}}} \]
    12. *-commutativeN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(a \cdot 2\right)}}^{\frac{-1}{3}} \]
    13. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot {\left(a \cdot \color{blue}{\frac{1}{\frac{1}{2}}}\right)}^{\frac{-1}{3}} \]
    14. div-invN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{a}{\frac{1}{2}}\right)}}^{\frac{-1}{3}} \]
    15. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot {\left(\frac{a}{\frac{1}{2}}\right)}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}} \]
    16. pow-powN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left({\left(\frac{a}{\frac{1}{2}}\right)}^{-1}\right)}^{\frac{1}{3}}} \]
    17. inv-powN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{1}{\frac{a}{\frac{1}{2}}}\right)}}^{\frac{1}{3}} \]
    18. clear-numN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{\frac{1}{2}}{a}\right)}}^{\frac{1}{3}} \]
    19. pow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\sqrt[3]{\frac{\frac{1}{2}}{a}}} \]
    20. cbrt-divN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\frac{\sqrt[3]{\frac{1}{2}}}{\sqrt[3]{a}}} \]
    21. unpow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \frac{\color{blue}{{\frac{1}{2}}^{\frac{1}{3}}}}{\sqrt[3]{a}} \]
    22. associate-*r/N/A

      \[\leadsto \color{blue}{\frac{\sqrt[3]{g} \cdot {\frac{1}{2}}^{\frac{1}{3}}}{\sqrt[3]{a}}} \]
  6. Applied egg-rr98.7%

    \[\leadsto \color{blue}{\frac{\sqrt[3]{\mathsf{fma}\left(g, 0.5, 0\right)}}{\sqrt[3]{a}}} \]
  7. Step-by-step derivation
    1. +-rgt-identityN/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\left(g \cdot \frac{1}{2} + 0\right) + 0}}}{\sqrt[3]{a}} \]
    2. flip-+N/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}{\left(g \cdot \frac{1}{2} + 0\right) - 0}}}}{\sqrt[3]{a}} \]
    3. clear-numN/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{1}{\frac{\left(g \cdot \frac{1}{2} + 0\right) - 0}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}}}}}{\sqrt[3]{a}} \]
    4. --rgt-identityN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{\color{blue}{g \cdot \frac{1}{2} + 0}}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}}}}{\sqrt[3]{a}} \]
    5. unpow1N/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{\color{blue}{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}}}}{\sqrt[3]{a}} \]
    6. metadata-evalN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - \color{blue}{0}}}}}{\sqrt[3]{a}} \]
    7. --rgt-identityN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}{\color{blue}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right)}}}}}{\sqrt[3]{a}} \]
    8. pow2N/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}{\color{blue}{{\left(g \cdot \frac{1}{2} + 0\right)}^{2}}}}}}{\sqrt[3]{a}} \]
    9. pow-divN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{{\left(g \cdot \frac{1}{2} + 0\right)}^{\left(1 - 2\right)}}}}}{\sqrt[3]{a}} \]
    10. metadata-evalN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{{\left(g \cdot \frac{1}{2} + 0\right)}^{\color{blue}{-1}}}}}{\sqrt[3]{a}} \]
    11. inv-powN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{\frac{1}{g \cdot \frac{1}{2} + 0}}}}}{\sqrt[3]{a}} \]
    12. /-lowering-/.f64N/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{1}{\frac{1}{g \cdot \frac{1}{2} + 0}}}}}{\sqrt[3]{a}} \]
    13. +-rgt-identityN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{1}{\color{blue}{g \cdot \frac{1}{2}}}}}}{\sqrt[3]{a}} \]
    14. *-commutativeN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{1}{\color{blue}{\frac{1}{2} \cdot g}}}}}{\sqrt[3]{a}} \]
    15. associate-/r*N/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{\frac{\frac{1}{\frac{1}{2}}}{g}}}}}{\sqrt[3]{a}} \]
    16. metadata-evalN/A

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{\color{blue}{2}}{g}}}}{\sqrt[3]{a}} \]
    17. /-lowering-/.f6498.8

      \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{\frac{2}{g}}}}}{\sqrt[3]{a}} \]
  8. Applied egg-rr98.8%

    \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{1}{\frac{2}{g}}}}}{\sqrt[3]{a}} \]
  9. Add Preprocessing

Alternative 2: 91.0% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{g}{2 \cdot a}\\ t_1 := \frac{\mathsf{fma}\left(g, 0.5, 0\right)}{\sqrt[3]{0 - \mathsf{fma}\left(g \cdot a, \mathsf{fma}\left(g, -0.25, 0\right), 0\right)}}\\ \mathbf{if}\;t\_0 \leq -\infty:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq -2 \cdot 10^{-300}:\\ \;\;\;\;\sqrt[3]{g \cdot \frac{0.5}{a}}\\ \mathbf{elif}\;t\_0 \leq 10^{-319}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq 5 \cdot 10^{+284}:\\ \;\;\;\;\sqrt[3]{\frac{\frac{1}{a}}{\frac{2}{g}}}\\ \mathbf{else}:\\ \;\;\;\;t\_1\\ \end{array} \end{array} \]
(FPCore (g a)
 :precision binary64
 (let* ((t_0 (/ g (* 2.0 a)))
        (t_1
         (/
          (fma g 0.5 0.0)
          (cbrt (- 0.0 (fma (* g a) (fma g -0.25 0.0) 0.0))))))
   (if (<= t_0 (- INFINITY))
     t_1
     (if (<= t_0 -2e-300)
       (cbrt (* g (/ 0.5 a)))
       (if (<= t_0 1e-319)
         t_1
         (if (<= t_0 5e+284) (cbrt (/ (/ 1.0 a) (/ 2.0 g))) t_1))))))
double code(double g, double a) {
	double t_0 = g / (2.0 * a);
	double t_1 = fma(g, 0.5, 0.0) / cbrt((0.0 - fma((g * a), fma(g, -0.25, 0.0), 0.0)));
	double tmp;
	if (t_0 <= -((double) INFINITY)) {
		tmp = t_1;
	} else if (t_0 <= -2e-300) {
		tmp = cbrt((g * (0.5 / a)));
	} else if (t_0 <= 1e-319) {
		tmp = t_1;
	} else if (t_0 <= 5e+284) {
		tmp = cbrt(((1.0 / a) / (2.0 / g)));
	} else {
		tmp = t_1;
	}
	return tmp;
}
function code(g, a)
	t_0 = Float64(g / Float64(2.0 * a))
	t_1 = Float64(fma(g, 0.5, 0.0) / cbrt(Float64(0.0 - fma(Float64(g * a), fma(g, -0.25, 0.0), 0.0))))
	tmp = 0.0
	if (t_0 <= Float64(-Inf))
		tmp = t_1;
	elseif (t_0 <= -2e-300)
		tmp = cbrt(Float64(g * Float64(0.5 / a)));
	elseif (t_0 <= 1e-319)
		tmp = t_1;
	elseif (t_0 <= 5e+284)
		tmp = cbrt(Float64(Float64(1.0 / a) / Float64(2.0 / g)));
	else
		tmp = t_1;
	end
	return tmp
end
code[g_, a_] := Block[{t$95$0 = N[(g / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(g * 0.5 + 0.0), $MachinePrecision] / N[Power[N[(0.0 - N[(N[(g * a), $MachinePrecision] * N[(g * -0.25 + 0.0), $MachinePrecision] + 0.0), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, (-Infinity)], t$95$1, If[LessEqual[t$95$0, -2e-300], N[Power[N[(g * N[(0.5 / a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision], If[LessEqual[t$95$0, 1e-319], t$95$1, If[LessEqual[t$95$0, 5e+284], N[Power[N[(N[(1.0 / a), $MachinePrecision] / N[(2.0 / g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision], t$95$1]]]]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{g}{2 \cdot a}\\
t_1 := \frac{\mathsf{fma}\left(g, 0.5, 0\right)}{\sqrt[3]{0 - \mathsf{fma}\left(g \cdot a, \mathsf{fma}\left(g, -0.25, 0\right), 0\right)}}\\
\mathbf{if}\;t\_0 \leq -\infty:\\
\;\;\;\;t\_1\\

\mathbf{elif}\;t\_0 \leq -2 \cdot 10^{-300}:\\
\;\;\;\;\sqrt[3]{g \cdot \frac{0.5}{a}}\\

\mathbf{elif}\;t\_0 \leq 10^{-319}:\\
\;\;\;\;t\_1\\

\mathbf{elif}\;t\_0 \leq 5 \cdot 10^{+284}:\\
\;\;\;\;\sqrt[3]{\frac{\frac{1}{a}}{\frac{2}{g}}}\\

\mathbf{else}:\\
\;\;\;\;t\_1\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (/.f64 g (*.f64 #s(literal 2 binary64) a)) < -inf.0 or -2.00000000000000005e-300 < (/.f64 g (*.f64 #s(literal 2 binary64) a)) < 9.99989e-320 or 4.9999999999999999e284 < (/.f64 g (*.f64 #s(literal 2 binary64) a))

    1. Initial program 11.1%

      \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. clear-numN/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2 \cdot a}{g}}}} \]
      2. associate-/r/N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
      3. cbrt-prodN/A

        \[\leadsto \color{blue}{\sqrt[3]{\frac{1}{2 \cdot a}} \cdot \sqrt[3]{g}} \]
      4. cbrt-divN/A

        \[\leadsto \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{2 \cdot a}}} \cdot \sqrt[3]{g} \]
      5. metadata-evalN/A

        \[\leadsto \frac{\color{blue}{1}}{\sqrt[3]{2 \cdot a}} \cdot \sqrt[3]{g} \]
      6. cbrt-prodN/A

        \[\leadsto \frac{1}{\color{blue}{\sqrt[3]{2} \cdot \sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
      7. associate-/r*N/A

        \[\leadsto \color{blue}{\frac{\frac{1}{\sqrt[3]{2}}}{\sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
      8. pow1/3N/A

        \[\leadsto \frac{\frac{1}{\color{blue}{{2}^{\frac{1}{3}}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
      9. pow-flipN/A

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

        \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
      11. metadata-evalN/A

        \[\leadsto \frac{{2}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
      12. associate-*l/N/A

        \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
      13. /-lowering-/.f64N/A

        \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
      14. *-lowering-*.f64N/A

        \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}}{\sqrt[3]{a}} \]
      15. pow-lowering-pow.f64N/A

        \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
      16. metadata-evalN/A

        \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
      17. cbrt-lowering-cbrt.f64N/A

        \[\leadsto \frac{{2}^{\frac{-1}{3}} \cdot \color{blue}{\sqrt[3]{g}}}{\sqrt[3]{a}} \]
      18. cbrt-lowering-cbrt.f6498.4

        \[\leadsto \frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\color{blue}{\sqrt[3]{a}}} \]
    4. Applied egg-rr98.4%

      \[\leadsto \color{blue}{\frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
    5. Step-by-step derivation
      1. div-invN/A

        \[\leadsto \color{blue}{\left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{g}\right) \cdot \frac{1}{\sqrt[3]{a}}} \]
      2. *-commutativeN/A

        \[\leadsto \color{blue}{\left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right)} \cdot \frac{1}{\sqrt[3]{a}} \]
      3. metadata-evalN/A

        \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \frac{\color{blue}{\sqrt[3]{1}}}{\sqrt[3]{a}} \]
      4. cbrt-divN/A

        \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \color{blue}{\sqrt[3]{\frac{1}{a}}} \]
      5. associate-*l*N/A

        \[\leadsto \color{blue}{\sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{\frac{1}{a}}\right)} \]
      6. cbrt-divN/A

        \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{a}}}\right) \]
      7. metadata-evalN/A

        \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{\color{blue}{1}}{\sqrt[3]{a}}\right) \]
      8. pow1/3N/A

        \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{1}{\color{blue}{{a}^{\frac{1}{3}}}}\right) \]
      9. pow-flipN/A

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

        \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot {a}^{\color{blue}{\frac{-1}{3}}}\right) \]
      11. pow-prod-downN/A

        \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left(2 \cdot a\right)}^{\frac{-1}{3}}} \]
      12. *-commutativeN/A

        \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(a \cdot 2\right)}}^{\frac{-1}{3}} \]
      13. metadata-evalN/A

        \[\leadsto \sqrt[3]{g} \cdot {\left(a \cdot \color{blue}{\frac{1}{\frac{1}{2}}}\right)}^{\frac{-1}{3}} \]
      14. div-invN/A

        \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{a}{\frac{1}{2}}\right)}}^{\frac{-1}{3}} \]
      15. metadata-evalN/A

        \[\leadsto \sqrt[3]{g} \cdot {\left(\frac{a}{\frac{1}{2}}\right)}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}} \]
      16. pow-powN/A

        \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left({\left(\frac{a}{\frac{1}{2}}\right)}^{-1}\right)}^{\frac{1}{3}}} \]
      17. inv-powN/A

        \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{1}{\frac{a}{\frac{1}{2}}}\right)}}^{\frac{1}{3}} \]
      18. clear-numN/A

        \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{\frac{1}{2}}{a}\right)}}^{\frac{1}{3}} \]
      19. pow1/3N/A

        \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\sqrt[3]{\frac{\frac{1}{2}}{a}}} \]
      20. cbrt-divN/A

        \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\frac{\sqrt[3]{\frac{1}{2}}}{\sqrt[3]{a}}} \]
      21. unpow1/3N/A

        \[\leadsto \sqrt[3]{g} \cdot \frac{\color{blue}{{\frac{1}{2}}^{\frac{1}{3}}}}{\sqrt[3]{a}} \]
      22. associate-*r/N/A

        \[\leadsto \color{blue}{\frac{\sqrt[3]{g} \cdot {\frac{1}{2}}^{\frac{1}{3}}}{\sqrt[3]{a}}} \]
    6. Applied egg-rr98.7%

      \[\leadsto \color{blue}{\frac{\sqrt[3]{\mathsf{fma}\left(g, 0.5, 0\right)}}{\sqrt[3]{a}}} \]
    7. Step-by-step derivation
      1. +-rgt-identityN/A

        \[\leadsto \frac{\sqrt[3]{\color{blue}{\left(g \cdot \frac{1}{2} + 0\right) + 0}}}{\sqrt[3]{a}} \]
      2. flip-+N/A

        \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}{\left(g \cdot \frac{1}{2} + 0\right) - 0}}}}{\sqrt[3]{a}} \]
      3. clear-numN/A

        \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{1}{\frac{\left(g \cdot \frac{1}{2} + 0\right) - 0}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}}}}}{\sqrt[3]{a}} \]
      4. --rgt-identityN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{\color{blue}{g \cdot \frac{1}{2} + 0}}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}}}}{\sqrt[3]{a}} \]
      5. unpow1N/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{\color{blue}{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - 0 \cdot 0}}}}{\sqrt[3]{a}} \]
      6. metadata-evalN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right) - \color{blue}{0}}}}}{\sqrt[3]{a}} \]
      7. --rgt-identityN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}{\color{blue}{\left(g \cdot \frac{1}{2} + 0\right) \cdot \left(g \cdot \frac{1}{2} + 0\right)}}}}}{\sqrt[3]{a}} \]
      8. pow2N/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{{\left(g \cdot \frac{1}{2} + 0\right)}^{1}}{\color{blue}{{\left(g \cdot \frac{1}{2} + 0\right)}^{2}}}}}}{\sqrt[3]{a}} \]
      9. pow-divN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{{\left(g \cdot \frac{1}{2} + 0\right)}^{\left(1 - 2\right)}}}}}{\sqrt[3]{a}} \]
      10. metadata-evalN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{{\left(g \cdot \frac{1}{2} + 0\right)}^{\color{blue}{-1}}}}}{\sqrt[3]{a}} \]
      11. inv-powN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{\frac{1}{g \cdot \frac{1}{2} + 0}}}}}{\sqrt[3]{a}} \]
      12. /-lowering-/.f64N/A

        \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{1}{\frac{1}{g \cdot \frac{1}{2} + 0}}}}}{\sqrt[3]{a}} \]
      13. +-rgt-identityN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{1}{\color{blue}{g \cdot \frac{1}{2}}}}}}{\sqrt[3]{a}} \]
      14. *-commutativeN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{1}{\color{blue}{\frac{1}{2} \cdot g}}}}}{\sqrt[3]{a}} \]
      15. associate-/r*N/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{\frac{\frac{1}{\frac{1}{2}}}{g}}}}}{\sqrt[3]{a}} \]
      16. metadata-evalN/A

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\frac{\color{blue}{2}}{g}}}}{\sqrt[3]{a}} \]
      17. /-lowering-/.f6498.9

        \[\leadsto \frac{\sqrt[3]{\frac{1}{\color{blue}{\frac{2}{g}}}}}{\sqrt[3]{a}} \]
    8. Applied egg-rr98.9%

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{1}{\frac{2}{g}}}}}{\sqrt[3]{a}} \]
    9. Applied egg-rr62.7%

      \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(g, 0.5, 0\right)}{\sqrt[3]{-\mathsf{fma}\left(a \cdot g, \mathsf{fma}\left(g, -0.25, 0\right), 0\right)}}} \]

    if -inf.0 < (/.f64 g (*.f64 #s(literal 2 binary64) a)) < -2.00000000000000005e-300

    1. Initial program 99.1%

      \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. clear-numN/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2 \cdot a}{g}}}} \]
      2. associate-/r/N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
      3. *-lowering-*.f64N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
      4. associate-/r*N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{2}}{a}} \cdot g} \]
      5. /-lowering-/.f64N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{2}}{a}} \cdot g} \]
      6. metadata-eval99.1

        \[\leadsto \sqrt[3]{\frac{\color{blue}{0.5}}{a} \cdot g} \]
    4. Applied egg-rr99.1%

      \[\leadsto \sqrt[3]{\color{blue}{\frac{0.5}{a} \cdot g}} \]

    if 9.99989e-320 < (/.f64 g (*.f64 #s(literal 2 binary64) a)) < 4.9999999999999999e284

    1. Initial program 99.1%

      \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. associate-/r*N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{g}{2}}{a}}} \]
      2. clear-numN/A

        \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{\frac{2}{g}}}}{a}} \]
      3. associate-/r*N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2}{g} \cdot a}}} \]
      4. associate-/l/N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{a}}{\frac{2}{g}}}} \]
      5. /-lowering-/.f64N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{a}}{\frac{2}{g}}}} \]
      6. /-lowering-/.f64N/A

        \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{a}}}{\frac{2}{g}}} \]
      7. /-lowering-/.f6499.1

        \[\leadsto \sqrt[3]{\frac{\frac{1}{a}}{\color{blue}{\frac{2}{g}}}} \]
    4. Applied egg-rr99.1%

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{a}}{\frac{2}{g}}}} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification90.4%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{g}{2 \cdot a} \leq -\infty:\\ \;\;\;\;\frac{\mathsf{fma}\left(g, 0.5, 0\right)}{\sqrt[3]{0 - \mathsf{fma}\left(g \cdot a, \mathsf{fma}\left(g, -0.25, 0\right), 0\right)}}\\ \mathbf{elif}\;\frac{g}{2 \cdot a} \leq -2 \cdot 10^{-300}:\\ \;\;\;\;\sqrt[3]{g \cdot \frac{0.5}{a}}\\ \mathbf{elif}\;\frac{g}{2 \cdot a} \leq 10^{-319}:\\ \;\;\;\;\frac{\mathsf{fma}\left(g, 0.5, 0\right)}{\sqrt[3]{0 - \mathsf{fma}\left(g \cdot a, \mathsf{fma}\left(g, -0.25, 0\right), 0\right)}}\\ \mathbf{elif}\;\frac{g}{2 \cdot a} \leq 5 \cdot 10^{+284}:\\ \;\;\;\;\sqrt[3]{\frac{\frac{1}{a}}{\frac{2}{g}}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\mathsf{fma}\left(g, 0.5, 0\right)}{\sqrt[3]{0 - \mathsf{fma}\left(g \cdot a, \mathsf{fma}\left(g, -0.25, 0\right), 0\right)}}\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 98.7% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \frac{\sqrt[3]{g \cdot 0.5}}{\sqrt[3]{a}} \end{array} \]
(FPCore (g a) :precision binary64 (/ (cbrt (* g 0.5)) (cbrt a)))
double code(double g, double a) {
	return cbrt((g * 0.5)) / cbrt(a);
}
public static double code(double g, double a) {
	return Math.cbrt((g * 0.5)) / Math.cbrt(a);
}
function code(g, a)
	return Float64(cbrt(Float64(g * 0.5)) / cbrt(a))
end
code[g_, a_] := N[(N[Power[N[(g * 0.5), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\sqrt[3]{g \cdot 0.5}}{\sqrt[3]{a}}
\end{array}
Derivation
  1. Initial program 78.1%

    \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. clear-numN/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2 \cdot a}{g}}}} \]
    2. associate-/r/N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
    3. cbrt-prodN/A

      \[\leadsto \color{blue}{\sqrt[3]{\frac{1}{2 \cdot a}} \cdot \sqrt[3]{g}} \]
    4. cbrt-divN/A

      \[\leadsto \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{2 \cdot a}}} \cdot \sqrt[3]{g} \]
    5. metadata-evalN/A

      \[\leadsto \frac{\color{blue}{1}}{\sqrt[3]{2 \cdot a}} \cdot \sqrt[3]{g} \]
    6. cbrt-prodN/A

      \[\leadsto \frac{1}{\color{blue}{\sqrt[3]{2} \cdot \sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
    7. associate-/r*N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{\sqrt[3]{2}}}{\sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
    8. pow1/3N/A

      \[\leadsto \frac{\frac{1}{\color{blue}{{2}^{\frac{1}{3}}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    9. pow-flipN/A

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

      \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    11. metadata-evalN/A

      \[\leadsto \frac{{2}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    12. associate-*l/N/A

      \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
    13. /-lowering-/.f64N/A

      \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
    14. *-lowering-*.f64N/A

      \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}}{\sqrt[3]{a}} \]
    15. pow-lowering-pow.f64N/A

      \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
    16. metadata-evalN/A

      \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
    17. cbrt-lowering-cbrt.f64N/A

      \[\leadsto \frac{{2}^{\frac{-1}{3}} \cdot \color{blue}{\sqrt[3]{g}}}{\sqrt[3]{a}} \]
    18. cbrt-lowering-cbrt.f6498.6

      \[\leadsto \frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\color{blue}{\sqrt[3]{a}}} \]
  4. Applied egg-rr98.6%

    \[\leadsto \color{blue}{\frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
  5. Step-by-step derivation
    1. div-invN/A

      \[\leadsto \color{blue}{\left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{g}\right) \cdot \frac{1}{\sqrt[3]{a}}} \]
    2. *-commutativeN/A

      \[\leadsto \color{blue}{\left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right)} \cdot \frac{1}{\sqrt[3]{a}} \]
    3. metadata-evalN/A

      \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \frac{\color{blue}{\sqrt[3]{1}}}{\sqrt[3]{a}} \]
    4. cbrt-divN/A

      \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \color{blue}{\sqrt[3]{\frac{1}{a}}} \]
    5. associate-*l*N/A

      \[\leadsto \color{blue}{\sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{\frac{1}{a}}\right)} \]
    6. cbrt-divN/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{a}}}\right) \]
    7. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{\color{blue}{1}}{\sqrt[3]{a}}\right) \]
    8. pow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{1}{\color{blue}{{a}^{\frac{1}{3}}}}\right) \]
    9. pow-flipN/A

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

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot {a}^{\color{blue}{\frac{-1}{3}}}\right) \]
    11. pow-prod-downN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left(2 \cdot a\right)}^{\frac{-1}{3}}} \]
    12. *-commutativeN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(a \cdot 2\right)}}^{\frac{-1}{3}} \]
    13. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot {\left(a \cdot \color{blue}{\frac{1}{\frac{1}{2}}}\right)}^{\frac{-1}{3}} \]
    14. div-invN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{a}{\frac{1}{2}}\right)}}^{\frac{-1}{3}} \]
    15. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot {\left(\frac{a}{\frac{1}{2}}\right)}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}} \]
    16. pow-powN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left({\left(\frac{a}{\frac{1}{2}}\right)}^{-1}\right)}^{\frac{1}{3}}} \]
    17. inv-powN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{1}{\frac{a}{\frac{1}{2}}}\right)}}^{\frac{1}{3}} \]
    18. clear-numN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{\frac{1}{2}}{a}\right)}}^{\frac{1}{3}} \]
    19. pow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\sqrt[3]{\frac{\frac{1}{2}}{a}}} \]
    20. cbrt-divN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\frac{\sqrt[3]{\frac{1}{2}}}{\sqrt[3]{a}}} \]
    21. unpow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \frac{\color{blue}{{\frac{1}{2}}^{\frac{1}{3}}}}{\sqrt[3]{a}} \]
    22. associate-*r/N/A

      \[\leadsto \color{blue}{\frac{\sqrt[3]{g} \cdot {\frac{1}{2}}^{\frac{1}{3}}}{\sqrt[3]{a}}} \]
  6. Applied egg-rr98.7%

    \[\leadsto \color{blue}{\frac{\sqrt[3]{\mathsf{fma}\left(g, 0.5, 0\right)}}{\sqrt[3]{a}}} \]
  7. Step-by-step derivation
    1. +-rgt-identityN/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{g \cdot \frac{1}{2}}}}{\sqrt[3]{a}} \]
    2. *-lowering-*.f6498.7

      \[\leadsto \frac{\sqrt[3]{\color{blue}{g \cdot 0.5}}}{\sqrt[3]{a}} \]
  8. Applied egg-rr98.7%

    \[\leadsto \frac{\sqrt[3]{\color{blue}{g \cdot 0.5}}}{\sqrt[3]{a}} \]
  9. Add Preprocessing

Alternative 4: 98.7% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{g} \end{array} \]
(FPCore (g a) :precision binary64 (* (cbrt (/ 0.5 a)) (cbrt g)))
double code(double g, double a) {
	return cbrt((0.5 / a)) * cbrt(g);
}
public static double code(double g, double a) {
	return Math.cbrt((0.5 / a)) * Math.cbrt(g);
}
function code(g, a)
	return Float64(cbrt(Float64(0.5 / a)) * cbrt(g))
end
code[g_, a_] := N[(N[Power[N[(0.5 / a), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[g, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{g}
\end{array}
Derivation
  1. Initial program 78.1%

    \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. clear-numN/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2 \cdot a}{g}}}} \]
    2. associate-/r/N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
    3. cbrt-prodN/A

      \[\leadsto \color{blue}{\sqrt[3]{\frac{1}{2 \cdot a}} \cdot \sqrt[3]{g}} \]
    4. cbrt-divN/A

      \[\leadsto \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{2 \cdot a}}} \cdot \sqrt[3]{g} \]
    5. metadata-evalN/A

      \[\leadsto \frac{\color{blue}{1}}{\sqrt[3]{2 \cdot a}} \cdot \sqrt[3]{g} \]
    6. cbrt-prodN/A

      \[\leadsto \frac{1}{\color{blue}{\sqrt[3]{2} \cdot \sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
    7. associate-/r*N/A

      \[\leadsto \color{blue}{\frac{\frac{1}{\sqrt[3]{2}}}{\sqrt[3]{a}}} \cdot \sqrt[3]{g} \]
    8. pow1/3N/A

      \[\leadsto \frac{\frac{1}{\color{blue}{{2}^{\frac{1}{3}}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    9. pow-flipN/A

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

      \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    11. metadata-evalN/A

      \[\leadsto \frac{{2}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}}}{\sqrt[3]{a}} \cdot \sqrt[3]{g} \]
    12. associate-*l/N/A

      \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
    13. /-lowering-/.f64N/A

      \[\leadsto \color{blue}{\frac{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
    14. *-lowering-*.f64N/A

      \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)} \cdot \sqrt[3]{g}}}{\sqrt[3]{a}} \]
    15. pow-lowering-pow.f64N/A

      \[\leadsto \frac{\color{blue}{{2}^{\left(-1 \cdot \frac{1}{3}\right)}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
    16. metadata-evalN/A

      \[\leadsto \frac{{2}^{\color{blue}{\frac{-1}{3}}} \cdot \sqrt[3]{g}}{\sqrt[3]{a}} \]
    17. cbrt-lowering-cbrt.f64N/A

      \[\leadsto \frac{{2}^{\frac{-1}{3}} \cdot \color{blue}{\sqrt[3]{g}}}{\sqrt[3]{a}} \]
    18. cbrt-lowering-cbrt.f6498.6

      \[\leadsto \frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\color{blue}{\sqrt[3]{a}}} \]
  4. Applied egg-rr98.6%

    \[\leadsto \color{blue}{\frac{{2}^{-0.3333333333333333} \cdot \sqrt[3]{g}}{\sqrt[3]{a}}} \]
  5. Step-by-step derivation
    1. div-invN/A

      \[\leadsto \color{blue}{\left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{g}\right) \cdot \frac{1}{\sqrt[3]{a}}} \]
    2. *-commutativeN/A

      \[\leadsto \color{blue}{\left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right)} \cdot \frac{1}{\sqrt[3]{a}} \]
    3. metadata-evalN/A

      \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \frac{\color{blue}{\sqrt[3]{1}}}{\sqrt[3]{a}} \]
    4. cbrt-divN/A

      \[\leadsto \left(\sqrt[3]{g} \cdot {2}^{\frac{-1}{3}}\right) \cdot \color{blue}{\sqrt[3]{\frac{1}{a}}} \]
    5. associate-*l*N/A

      \[\leadsto \color{blue}{\sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \sqrt[3]{\frac{1}{a}}\right)} \]
    6. cbrt-divN/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \color{blue}{\frac{\sqrt[3]{1}}{\sqrt[3]{a}}}\right) \]
    7. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{\color{blue}{1}}{\sqrt[3]{a}}\right) \]
    8. pow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot \frac{1}{\color{blue}{{a}^{\frac{1}{3}}}}\right) \]
    9. pow-flipN/A

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

      \[\leadsto \sqrt[3]{g} \cdot \left({2}^{\frac{-1}{3}} \cdot {a}^{\color{blue}{\frac{-1}{3}}}\right) \]
    11. pow-prod-downN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left(2 \cdot a\right)}^{\frac{-1}{3}}} \]
    12. *-commutativeN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(a \cdot 2\right)}}^{\frac{-1}{3}} \]
    13. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot {\left(a \cdot \color{blue}{\frac{1}{\frac{1}{2}}}\right)}^{\frac{-1}{3}} \]
    14. div-invN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{a}{\frac{1}{2}}\right)}}^{\frac{-1}{3}} \]
    15. metadata-evalN/A

      \[\leadsto \sqrt[3]{g} \cdot {\left(\frac{a}{\frac{1}{2}}\right)}^{\color{blue}{\left(-1 \cdot \frac{1}{3}\right)}} \]
    16. pow-powN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{{\left({\left(\frac{a}{\frac{1}{2}}\right)}^{-1}\right)}^{\frac{1}{3}}} \]
    17. inv-powN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{1}{\frac{a}{\frac{1}{2}}}\right)}}^{\frac{1}{3}} \]
    18. clear-numN/A

      \[\leadsto \sqrt[3]{g} \cdot {\color{blue}{\left(\frac{\frac{1}{2}}{a}\right)}}^{\frac{1}{3}} \]
    19. pow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\sqrt[3]{\frac{\frac{1}{2}}{a}}} \]
    20. cbrt-divN/A

      \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\frac{\sqrt[3]{\frac{1}{2}}}{\sqrt[3]{a}}} \]
    21. unpow1/3N/A

      \[\leadsto \sqrt[3]{g} \cdot \frac{\color{blue}{{\frac{1}{2}}^{\frac{1}{3}}}}{\sqrt[3]{a}} \]
    22. associate-*r/N/A

      \[\leadsto \color{blue}{\frac{\sqrt[3]{g} \cdot {\frac{1}{2}}^{\frac{1}{3}}}{\sqrt[3]{a}}} \]
  6. Applied egg-rr98.7%

    \[\leadsto \color{blue}{\frac{\sqrt[3]{\mathsf{fma}\left(g, 0.5, 0\right)}}{\sqrt[3]{a}}} \]
  7. Step-by-step derivation
    1. +-rgt-identityN/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{g \cdot \frac{1}{2}}}}{\sqrt[3]{a}} \]
    2. *-commutativeN/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{1}{2} \cdot g}}}{\sqrt[3]{a}} \]
    3. metadata-evalN/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\left(\frac{-1}{2} \cdot -1\right)} \cdot g}}{\sqrt[3]{a}} \]
    4. associate-*r*N/A

      \[\leadsto \frac{\sqrt[3]{\color{blue}{\frac{-1}{2} \cdot \left(-1 \cdot g\right)}}}{\sqrt[3]{a}} \]
    5. metadata-evalN/A

      \[\leadsto \frac{\sqrt[3]{\frac{-1}{2} \cdot \left(\color{blue}{\frac{1}{-1}} \cdot g\right)}}{\sqrt[3]{a}} \]
    6. associate-/r/N/A

      \[\leadsto \frac{\sqrt[3]{\frac{-1}{2} \cdot \color{blue}{\frac{1}{\frac{-1}{g}}}}}{\sqrt[3]{a}} \]
    7. cbrt-divN/A

      \[\leadsto \color{blue}{\sqrt[3]{\frac{\frac{-1}{2} \cdot \frac{1}{\frac{-1}{g}}}{a}}} \]
    8. associate-*l/N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{-1}{2}}{a} \cdot \frac{1}{\frac{-1}{g}}}} \]
    9. associate-/r/N/A

      \[\leadsto \sqrt[3]{\frac{\frac{-1}{2}}{a} \cdot \color{blue}{\left(\frac{1}{-1} \cdot g\right)}} \]
    10. metadata-evalN/A

      \[\leadsto \sqrt[3]{\frac{\frac{-1}{2}}{a} \cdot \left(\color{blue}{-1} \cdot g\right)} \]
    11. associate-*r*N/A

      \[\leadsto \sqrt[3]{\color{blue}{\left(\frac{\frac{-1}{2}}{a} \cdot -1\right) \cdot g}} \]
    12. cbrt-prodN/A

      \[\leadsto \color{blue}{\sqrt[3]{\frac{\frac{-1}{2}}{a} \cdot -1} \cdot \sqrt[3]{g}} \]
    13. metadata-evalN/A

      \[\leadsto \sqrt[3]{\frac{\frac{-1}{2}}{a} \cdot \color{blue}{\left(\mathsf{neg}\left(1\right)\right)}} \cdot \sqrt[3]{g} \]
    14. distribute-rgt-neg-inN/A

      \[\leadsto \sqrt[3]{\color{blue}{\mathsf{neg}\left(\frac{\frac{-1}{2}}{a} \cdot 1\right)}} \cdot \sqrt[3]{g} \]
    15. *-rgt-identityN/A

      \[\leadsto \sqrt[3]{\mathsf{neg}\left(\color{blue}{\frac{\frac{-1}{2}}{a}}\right)} \cdot \sqrt[3]{g} \]
    16. pow1/3N/A

      \[\leadsto \sqrt[3]{\mathsf{neg}\left(\frac{\frac{-1}{2}}{a}\right)} \cdot \color{blue}{{g}^{\frac{1}{3}}} \]
    17. *-lowering-*.f64N/A

      \[\leadsto \color{blue}{\sqrt[3]{\mathsf{neg}\left(\frac{\frac{-1}{2}}{a}\right)} \cdot {g}^{\frac{1}{3}}} \]
    18. cbrt-lowering-cbrt.f64N/A

      \[\leadsto \color{blue}{\sqrt[3]{\mathsf{neg}\left(\frac{\frac{-1}{2}}{a}\right)}} \cdot {g}^{\frac{1}{3}} \]
    19. distribute-neg-fracN/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\mathsf{neg}\left(\frac{-1}{2}\right)}{a}}} \cdot {g}^{\frac{1}{3}} \]
    20. metadata-evalN/A

      \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{2}}}{a}} \cdot {g}^{\frac{1}{3}} \]
    21. /-lowering-/.f64N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{2}}{a}}} \cdot {g}^{\frac{1}{3}} \]
    22. pow1/3N/A

      \[\leadsto \sqrt[3]{\frac{\frac{1}{2}}{a}} \cdot \color{blue}{\sqrt[3]{g}} \]
    23. cbrt-lowering-cbrt.f6498.7

      \[\leadsto \sqrt[3]{\frac{0.5}{a}} \cdot \color{blue}{\sqrt[3]{g}} \]
  8. Applied egg-rr98.7%

    \[\leadsto \color{blue}{\sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{g}} \]
  9. Add Preprocessing

Alternative 5: 76.9% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \sqrt[3]{\frac{\frac{1}{a}}{\frac{2}{g}}} \end{array} \]
(FPCore (g a) :precision binary64 (cbrt (/ (/ 1.0 a) (/ 2.0 g))))
double code(double g, double a) {
	return cbrt(((1.0 / a) / (2.0 / g)));
}
public static double code(double g, double a) {
	return Math.cbrt(((1.0 / a) / (2.0 / g)));
}
function code(g, a)
	return cbrt(Float64(Float64(1.0 / a) / Float64(2.0 / g)))
end
code[g_, a_] := N[Power[N[(N[(1.0 / a), $MachinePrecision] / N[(2.0 / g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{\frac{\frac{1}{a}}{\frac{2}{g}}}
\end{array}
Derivation
  1. Initial program 78.1%

    \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. associate-/r*N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{g}{2}}{a}}} \]
    2. clear-numN/A

      \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{\frac{2}{g}}}}{a}} \]
    3. associate-/r*N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2}{g} \cdot a}}} \]
    4. associate-/l/N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{a}}{\frac{2}{g}}}} \]
    5. /-lowering-/.f64N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{a}}{\frac{2}{g}}}} \]
    6. /-lowering-/.f64N/A

      \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{a}}}{\frac{2}{g}}} \]
    7. /-lowering-/.f6478.5

      \[\leadsto \sqrt[3]{\frac{\frac{1}{a}}{\color{blue}{\frac{2}{g}}}} \]
  4. Applied egg-rr78.5%

    \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{a}}{\frac{2}{g}}}} \]
  5. Add Preprocessing

Alternative 6: 76.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt[3]{0.5 \cdot \frac{g}{a}} \end{array} \]
(FPCore (g a) :precision binary64 (cbrt (* 0.5 (/ g a))))
double code(double g, double a) {
	return cbrt((0.5 * (g / a)));
}
public static double code(double g, double a) {
	return Math.cbrt((0.5 * (g / a)));
}
function code(g, a)
	return cbrt(Float64(0.5 * Float64(g / a)))
end
code[g_, a_] := N[Power[N[(0.5 * N[(g / a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{0.5 \cdot \frac{g}{a}}
\end{array}
Derivation
  1. Initial program 78.1%

    \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. associate-/l/N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{g}{a}}{2}}} \]
    2. div-invN/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{g}{a} \cdot \frac{1}{2}}} \]
    3. *-lowering-*.f64N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{g}{a} \cdot \frac{1}{2}}} \]
    4. /-lowering-/.f64N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{g}{a}} \cdot \frac{1}{2}} \]
    5. metadata-eval78.5

      \[\leadsto \sqrt[3]{\frac{g}{a} \cdot \color{blue}{0.5}} \]
  4. Applied egg-rr78.5%

    \[\leadsto \sqrt[3]{\color{blue}{\frac{g}{a} \cdot 0.5}} \]
  5. Final simplification78.5%

    \[\leadsto \sqrt[3]{0.5 \cdot \frac{g}{a}} \]
  6. Add Preprocessing

Alternative 7: 76.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt[3]{g \cdot \frac{0.5}{a}} \end{array} \]
(FPCore (g a) :precision binary64 (cbrt (* g (/ 0.5 a))))
double code(double g, double a) {
	return cbrt((g * (0.5 / a)));
}
public static double code(double g, double a) {
	return Math.cbrt((g * (0.5 / a)));
}
function code(g, a)
	return cbrt(Float64(g * Float64(0.5 / a)))
end
code[g_, a_] := N[Power[N[(g * N[(0.5 / a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{g \cdot \frac{0.5}{a}}
\end{array}
Derivation
  1. Initial program 78.1%

    \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. clear-numN/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{2 \cdot a}{g}}}} \]
    2. associate-/r/N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
    3. *-lowering-*.f64N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{2 \cdot a} \cdot g}} \]
    4. associate-/r*N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{2}}{a}} \cdot g} \]
    5. /-lowering-/.f64N/A

      \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{2}}{a}} \cdot g} \]
    6. metadata-eval78.5

      \[\leadsto \sqrt[3]{\frac{\color{blue}{0.5}}{a} \cdot g} \]
  4. Applied egg-rr78.5%

    \[\leadsto \sqrt[3]{\color{blue}{\frac{0.5}{a} \cdot g}} \]
  5. Final simplification78.5%

    \[\leadsto \sqrt[3]{g \cdot \frac{0.5}{a}} \]
  6. Add Preprocessing

Reproduce

?
herbie shell --seed 2024198 
(FPCore (g a)
  :name "2-ancestry mixing, zero discriminant"
  :precision binary64
  (cbrt (/ g (* 2.0 a))))