2-ancestry mixing, zero discriminant

Percentage Accurate: 76.0% → 98.7%
Time: 8.5s
Alternatives: 9
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 9 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: 76.0% 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?

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

\\
\sqrt[3]{-g} \cdot \sqrt[3]{\frac{-0.5}{a}}
\end{array}
Derivation
  1. Initial program 79.5%

    \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-cbrt.f64N/A

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

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

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

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

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

      \[\leadsto \color{blue}{\frac{\sqrt[3]{\frac{g}{2}}}{\sqrt[3]{a}}} \]
    7. lower-cbrt.f64N/A

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

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

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

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

      \[\leadsto \frac{\sqrt[3]{g \cdot 0.5}}{\color{blue}{\sqrt[3]{a}}} \]
  4. Applied rewrites98.7%

    \[\leadsto \color{blue}{\frac{\sqrt[3]{g \cdot 0.5}}{\sqrt[3]{a}}} \]
  5. Applied rewrites98.8%

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

Alternative 2: 89.4% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{g}{a \cdot 2}\\ t_1 := \frac{\sqrt[3]{a \cdot \left(a \cdot \left(g \cdot 0.5\right)\right)}}{a}\\ \mathbf{if}\;t\_0 \leq -1 \cdot 10^{+255}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq -2 \cdot 10^{-302}:\\ \;\;\;\;\frac{1}{\sqrt[3]{\frac{a}{g \cdot 0.5}}}\\ \mathbf{elif}\;t\_0 \leq 0:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq 2 \cdot 10^{+277}:\\ \;\;\;\;\sqrt[3]{\frac{g}{a} \cdot \left(\sqrt{0.5} \cdot \sqrt{0.5}\right)}\\ \mathbf{else}:\\ \;\;\;\;t\_1\\ \end{array} \end{array} \]
(FPCore (g a)
 :precision binary64
 (let* ((t_0 (/ g (* a 2.0))) (t_1 (/ (cbrt (* a (* a (* g 0.5)))) a)))
   (if (<= t_0 -1e+255)
     t_1
     (if (<= t_0 -2e-302)
       (/ 1.0 (cbrt (/ a (* g 0.5))))
       (if (<= t_0 0.0)
         t_1
         (if (<= t_0 2e+277)
           (cbrt (* (/ g a) (* (sqrt 0.5) (sqrt 0.5))))
           t_1))))))
double code(double g, double a) {
	double t_0 = g / (a * 2.0);
	double t_1 = cbrt((a * (a * (g * 0.5)))) / a;
	double tmp;
	if (t_0 <= -1e+255) {
		tmp = t_1;
	} else if (t_0 <= -2e-302) {
		tmp = 1.0 / cbrt((a / (g * 0.5)));
	} else if (t_0 <= 0.0) {
		tmp = t_1;
	} else if (t_0 <= 2e+277) {
		tmp = cbrt(((g / a) * (sqrt(0.5) * sqrt(0.5))));
	} else {
		tmp = t_1;
	}
	return tmp;
}
public static double code(double g, double a) {
	double t_0 = g / (a * 2.0);
	double t_1 = Math.cbrt((a * (a * (g * 0.5)))) / a;
	double tmp;
	if (t_0 <= -1e+255) {
		tmp = t_1;
	} else if (t_0 <= -2e-302) {
		tmp = 1.0 / Math.cbrt((a / (g * 0.5)));
	} else if (t_0 <= 0.0) {
		tmp = t_1;
	} else if (t_0 <= 2e+277) {
		tmp = Math.cbrt(((g / a) * (Math.sqrt(0.5) * Math.sqrt(0.5))));
	} else {
		tmp = t_1;
	}
	return tmp;
}
function code(g, a)
	t_0 = Float64(g / Float64(a * 2.0))
	t_1 = Float64(cbrt(Float64(a * Float64(a * Float64(g * 0.5)))) / a)
	tmp = 0.0
	if (t_0 <= -1e+255)
		tmp = t_1;
	elseif (t_0 <= -2e-302)
		tmp = Float64(1.0 / cbrt(Float64(a / Float64(g * 0.5))));
	elseif (t_0 <= 0.0)
		tmp = t_1;
	elseif (t_0 <= 2e+277)
		tmp = cbrt(Float64(Float64(g / a) * Float64(sqrt(0.5) * sqrt(0.5))));
	else
		tmp = t_1;
	end
	return tmp
end
code[g_, a_] := Block[{t$95$0 = N[(g / N[(a * 2.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[(a * N[(a * N[(g * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] / a), $MachinePrecision]}, If[LessEqual[t$95$0, -1e+255], t$95$1, If[LessEqual[t$95$0, -2e-302], N[(1.0 / N[Power[N[(a / N[(g * 0.5), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$0, 0.0], t$95$1, If[LessEqual[t$95$0, 2e+277], N[Power[N[(N[(g / a), $MachinePrecision] * N[(N[Sqrt[0.5], $MachinePrecision] * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision], t$95$1]]]]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{g}{a \cdot 2}\\
t_1 := \frac{\sqrt[3]{a \cdot \left(a \cdot \left(g \cdot 0.5\right)\right)}}{a}\\
\mathbf{if}\;t\_0 \leq -1 \cdot 10^{+255}:\\
\;\;\;\;t\_1\\

\mathbf{elif}\;t\_0 \leq -2 \cdot 10^{-302}:\\
\;\;\;\;\frac{1}{\sqrt[3]{\frac{a}{g \cdot 0.5}}}\\

\mathbf{elif}\;t\_0 \leq 0:\\
\;\;\;\;t\_1\\

\mathbf{elif}\;t\_0 \leq 2 \cdot 10^{+277}:\\
\;\;\;\;\sqrt[3]{\frac{g}{a} \cdot \left(\sqrt{0.5} \cdot \sqrt{0.5}\right)}\\

\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)) < -9.99999999999999988e254 or -1.9999999999999999e-302 < (/.f64 g (*.f64 #s(literal 2 binary64) a)) < 0.0 or 2.00000000000000001e277 < (/.f64 g (*.f64 #s(literal 2 binary64) a))

    1. Initial program 18.8%

      \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-cbrt.f64N/A

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

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

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

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

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

        \[\leadsto \color{blue}{\frac{\sqrt[3]{\frac{g}{2}}}{\sqrt[3]{a}}} \]
      7. lower-cbrt.f64N/A

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

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

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

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

        \[\leadsto \frac{\sqrt[3]{g \cdot 0.5}}{\color{blue}{\sqrt[3]{a}}} \]
    4. Applied rewrites98.6%

      \[\leadsto \color{blue}{\frac{\sqrt[3]{g \cdot 0.5}}{\sqrt[3]{a}}} \]
    5. Applied rewrites98.6%

      \[\leadsto \color{blue}{\sqrt[3]{-g} \cdot \sqrt[3]{\frac{-0.5}{a}}} \]
    6. Applied rewrites66.2%

      \[\leadsto \color{blue}{\frac{\sqrt[3]{a \cdot \left(a \cdot \left(g \cdot 0.5\right)\right)}}{a}} \]

    if -9.99999999999999988e254 < (/.f64 g (*.f64 #s(literal 2 binary64) a)) < -1.9999999999999999e-302

    1. Initial program 99.1%

      \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-cbrt.f64N/A

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{1}{\sqrt[3]{\frac{1}{\color{blue}{\frac{\frac{g}{2}}{a}}}}} \]
      11. clear-numN/A

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

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

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

        \[\leadsto \frac{1}{\sqrt[3]{\frac{a}{\color{blue}{g \cdot \frac{1}{2}}}}} \]
      15. metadata-eval99.0

        \[\leadsto \frac{1}{\sqrt[3]{\frac{a}{g \cdot \color{blue}{0.5}}}} \]
    4. Applied rewrites99.0%

      \[\leadsto \color{blue}{\frac{1}{\sqrt[3]{\frac{a}{g \cdot 0.5}}}} \]

    if 0.0 < (/.f64 g (*.f64 #s(literal 2 binary64) a)) < 2.00000000000000001e277

    1. Initial program 98.4%

      \[\sqrt[3]{\frac{g}{2 \cdot a}} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-/.f64N/A

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

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

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

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

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

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

        \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{2}}}{\frac{a}{g}}} \]
      8. lower-/.f6497.3

        \[\leadsto \sqrt[3]{\frac{0.5}{\color{blue}{\frac{a}{g}}}} \]
    4. Applied rewrites97.3%

      \[\leadsto \sqrt[3]{\color{blue}{\frac{0.5}{\frac{a}{g}}}} \]
    5. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{\frac{1}{2}}{\frac{a}{g}}}} \]
      2. clear-numN/A

        \[\leadsto \sqrt[3]{\color{blue}{\frac{1}{\frac{\frac{a}{g}}{\frac{1}{2}}}}} \]
      3. inv-powN/A

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

        \[\leadsto \sqrt[3]{\color{blue}{{\left(\frac{\frac{a}{g}}{\frac{1}{2}}\right)}^{\left(\frac{-1}{2}\right)} \cdot {\left(\frac{\frac{a}{g}}{\frac{1}{2}}\right)}^{\left(\frac{-1}{2}\right)}}} \]
      5. sqrt-pow1N/A

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt[3]{\color{blue}{\left(\sqrt{\frac{g}{a}} \cdot \sqrt{\frac{1}{2}}\right)} \cdot {\left(\frac{\frac{a}{g}}{\frac{1}{2}}\right)}^{\left(\frac{-1}{2}\right)}} \]
      16. sqrt-pow1N/A

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt[3]{\left(\sqrt{\frac{g}{a}} \cdot \sqrt{\frac{1}{2}}\right) \cdot \color{blue}{\left(\sqrt{\frac{g}{a}} \cdot \sqrt{\frac{1}{2}}\right)}} \]
    6. Applied rewrites98.3%

      \[\leadsto \sqrt[3]{\color{blue}{\frac{g}{a} \cdot \left(\sqrt{0.5} \cdot \sqrt{0.5}\right)}} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification89.4%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{g}{a \cdot 2} \leq -1 \cdot 10^{+255}:\\ \;\;\;\;\frac{\sqrt[3]{a \cdot \left(a \cdot \left(g \cdot 0.5\right)\right)}}{a}\\ \mathbf{elif}\;\frac{g}{a \cdot 2} \leq -2 \cdot 10^{-302}:\\ \;\;\;\;\frac{1}{\sqrt[3]{\frac{a}{g \cdot 0.5}}}\\ \mathbf{elif}\;\frac{g}{a \cdot 2} \leq 0:\\ \;\;\;\;\frac{\sqrt[3]{a \cdot \left(a \cdot \left(g \cdot 0.5\right)\right)}}{a}\\ \mathbf{elif}\;\frac{g}{a \cdot 2} \leq 2 \cdot 10^{+277}:\\ \;\;\;\;\sqrt[3]{\frac{g}{a} \cdot \left(\sqrt{0.5} \cdot \sqrt{0.5}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{\sqrt[3]{a \cdot \left(a \cdot \left(g \cdot 0.5\right)\right)}}{a}\\ \end{array} \]
  5. Add Preprocessing

Reproduce

?
herbie shell --seed 2024219 
(FPCore (g a)
  :name "2-ancestry mixing, zero discriminant"
  :precision binary64
  (cbrt (/ g (* 2.0 a))))