2-ancestry mixing, positive discriminant

Percentage Accurate: 43.8% → 95.7%
Time: 8.4s
Alternatives: 5
Speedup: 0.9×

Specification

?
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{2 \cdot a}\\ t_1 := \sqrt{g \cdot g - h \cdot h}\\ \sqrt[3]{t\_0 \cdot \left(\left(-g\right) + t\_1\right)} + \sqrt[3]{t\_0 \cdot \left(\left(-g\right) - t\_1\right)} \end{array} \end{array} \]
(FPCore (g h a)
 :precision binary64
 (let* ((t_0 (/ 1.0 (* 2.0 a))) (t_1 (sqrt (- (* g g) (* h h)))))
   (+ (cbrt (* t_0 (+ (- g) t_1))) (cbrt (* t_0 (- (- g) t_1))))))
double code(double g, double h, double a) {
	double t_0 = 1.0 / (2.0 * a);
	double t_1 = sqrt(((g * g) - (h * h)));
	return cbrt((t_0 * (-g + t_1))) + cbrt((t_0 * (-g - t_1)));
}
public static double code(double g, double h, double a) {
	double t_0 = 1.0 / (2.0 * a);
	double t_1 = Math.sqrt(((g * g) - (h * h)));
	return Math.cbrt((t_0 * (-g + t_1))) + Math.cbrt((t_0 * (-g - t_1)));
}
function code(g, h, a)
	t_0 = Float64(1.0 / Float64(2.0 * a))
	t_1 = sqrt(Float64(Float64(g * g) - Float64(h * h)))
	return Float64(cbrt(Float64(t_0 * Float64(Float64(-g) + t_1))) + cbrt(Float64(t_0 * Float64(Float64(-g) - t_1))))
end
code[g_, h_, a_] := Block[{t$95$0 = N[(1.0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(N[Power[N[(t$95$0 * N[((-g) + t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(t$95$0 * N[((-g) - t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{1}{2 \cdot a}\\
t_1 := \sqrt{g \cdot g - h \cdot h}\\
\sqrt[3]{t\_0 \cdot \left(\left(-g\right) + t\_1\right)} + \sqrt[3]{t\_0 \cdot \left(\left(-g\right) - t\_1\right)}
\end{array}
\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 5 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: 43.8% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{2 \cdot a}\\ t_1 := \sqrt{g \cdot g - h \cdot h}\\ \sqrt[3]{t\_0 \cdot \left(\left(-g\right) + t\_1\right)} + \sqrt[3]{t\_0 \cdot \left(\left(-g\right) - t\_1\right)} \end{array} \end{array} \]
(FPCore (g h a)
 :precision binary64
 (let* ((t_0 (/ 1.0 (* 2.0 a))) (t_1 (sqrt (- (* g g) (* h h)))))
   (+ (cbrt (* t_0 (+ (- g) t_1))) (cbrt (* t_0 (- (- g) t_1))))))
double code(double g, double h, double a) {
	double t_0 = 1.0 / (2.0 * a);
	double t_1 = sqrt(((g * g) - (h * h)));
	return cbrt((t_0 * (-g + t_1))) + cbrt((t_0 * (-g - t_1)));
}
public static double code(double g, double h, double a) {
	double t_0 = 1.0 / (2.0 * a);
	double t_1 = Math.sqrt(((g * g) - (h * h)));
	return Math.cbrt((t_0 * (-g + t_1))) + Math.cbrt((t_0 * (-g - t_1)));
}
function code(g, h, a)
	t_0 = Float64(1.0 / Float64(2.0 * a))
	t_1 = sqrt(Float64(Float64(g * g) - Float64(h * h)))
	return Float64(cbrt(Float64(t_0 * Float64(Float64(-g) + t_1))) + cbrt(Float64(t_0 * Float64(Float64(-g) - t_1))))
end
code[g_, h_, a_] := Block[{t$95$0 = N[(1.0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(N[Power[N[(t$95$0 * N[((-g) + t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(t$95$0 * N[((-g) - t$95$1), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{1}{2 \cdot a}\\
t_1 := \sqrt{g \cdot g - h \cdot h}\\
\sqrt[3]{t\_0 \cdot \left(\left(-g\right) + t\_1\right)} + \sqrt[3]{t\_0 \cdot \left(\left(-g\right) - t\_1\right)}
\end{array}
\end{array}

Alternative 1: 95.7% accurate, 0.5× speedup?

\[\begin{array}{l} \\ \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot {\left(\sqrt[3]{\frac{a}{\frac{h}{g} \cdot h}}\right)}^{-1} + \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g} \end{array} \]
(FPCore (g h a)
 :precision binary64
 (+
  (* (* (cbrt -0.5) (cbrt 0.5)) (pow (cbrt (/ a (* (/ h g) h))) -1.0))
  (* (cbrt (/ 0.5 a)) (cbrt (* -2.0 g)))))
double code(double g, double h, double a) {
	return ((cbrt(-0.5) * cbrt(0.5)) * pow(cbrt((a / ((h / g) * h))), -1.0)) + (cbrt((0.5 / a)) * cbrt((-2.0 * g)));
}
public static double code(double g, double h, double a) {
	return ((Math.cbrt(-0.5) * Math.cbrt(0.5)) * Math.pow(Math.cbrt((a / ((h / g) * h))), -1.0)) + (Math.cbrt((0.5 / a)) * Math.cbrt((-2.0 * g)));
}
function code(g, h, a)
	return Float64(Float64(Float64(cbrt(-0.5) * cbrt(0.5)) * (cbrt(Float64(a / Float64(Float64(h / g) * h))) ^ -1.0)) + Float64(cbrt(Float64(0.5 / a)) * cbrt(Float64(-2.0 * g))))
end
code[g_, h_, a_] := N[(N[(N[(N[Power[-0.5, 1/3], $MachinePrecision] * N[Power[0.5, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[Power[N[(a / N[(N[(h / g), $MachinePrecision] * h), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[(N[Power[N[(0.5 / a), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(-2.0 * g), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot {\left(\sqrt[3]{\frac{a}{\frac{h}{g} \cdot h}}\right)}^{-1} + \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g}
\end{array}
Derivation
  1. Initial program 41.8%

    \[\sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) - \sqrt{g \cdot g - h \cdot h}\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in g around inf

    \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
  4. Step-by-step derivation
    1. lower-*.f6427.1

      \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
  5. Applied rewrites27.1%

    \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
  6. Taylor expanded in g around inf

    \[\leadsto \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}} \cdot \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
  7. Step-by-step derivation
    1. *-commutativeN/A

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

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

      \[\leadsto \color{blue}{\left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
    4. lower-cbrt.f64N/A

      \[\leadsto \left(\color{blue}{\sqrt[3]{\frac{-1}{2}}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
    5. lower-cbrt.f64N/A

      \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \color{blue}{\sqrt[3]{\frac{1}{2}}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
    6. lower-cbrt.f64N/A

      \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
    7. unpow2N/A

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

      \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h \cdot h}{\color{blue}{g \cdot a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
    9. times-fracN/A

      \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
    10. lower-*.f64N/A

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

      \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g}} \cdot \frac{h}{a}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
    12. lower-/.f6473.3

      \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \color{blue}{\frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
  8. Applied rewrites73.3%

    \[\leadsto \color{blue}{\left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
  9. Step-by-step derivation
    1. lift-cbrt.f64N/A

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \sqrt[3]{\frac{\frac{1}{2}}{a}} \cdot \color{blue}{\sqrt[3]{-2 \cdot g}} \]
    14. lower-cbrt.f6494.5

      \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \sqrt[3]{\frac{0.5}{a}} \cdot \color{blue}{\sqrt[3]{-2 \cdot g}} \]
  10. Applied rewrites94.5%

    \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \color{blue}{\sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g}} \]
  11. Step-by-step derivation
    1. Applied rewrites96.3%

      \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \frac{1}{\color{blue}{\sqrt[3]{\frac{a}{\frac{h}{g} \cdot h}}}} + \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g} \]
    2. Final simplification96.3%

      \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot {\left(\sqrt[3]{\frac{a}{\frac{h}{g} \cdot h}}\right)}^{-1} + \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g} \]
    3. Add Preprocessing

    Alternative 2: 39.5% accurate, 0.5× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{g \cdot g - h \cdot h}\\ t_1 := \frac{0.5}{a} \cdot \left(-2 \cdot g\right)\\ t_2 := \sqrt[3]{t\_1}\\ \mathbf{if}\;\sqrt[3]{{\left(2 \cdot a\right)}^{-1} \cdot \left(\left(-g\right) + t\_0\right)} + \sqrt[3]{\frac{-1}{2 \cdot a} \cdot \left(g + t\_0\right)} \leq -1 \cdot 10^{-100}:\\ \;\;\;\;t\_2 + t\_2\\ \mathbf{else}:\\ \;\;\;\;\sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + {t\_1}^{0.3333333333333333}\\ \end{array} \end{array} \]
    (FPCore (g h a)
     :precision binary64
     (let* ((t_0 (sqrt (- (* g g) (* h h))))
            (t_1 (* (/ 0.5 a) (* -2.0 g)))
            (t_2 (cbrt t_1)))
       (if (<=
            (+
             (cbrt (* (pow (* 2.0 a) -1.0) (+ (- g) t_0)))
             (cbrt (* (/ -1.0 (* 2.0 a)) (+ g t_0))))
            -1e-100)
         (+ t_2 t_2)
         (+ (cbrt (* (* (/ h a) (/ h g)) -0.25)) (pow t_1 0.3333333333333333)))))
    double code(double g, double h, double a) {
    	double t_0 = sqrt(((g * g) - (h * h)));
    	double t_1 = (0.5 / a) * (-2.0 * g);
    	double t_2 = cbrt(t_1);
    	double tmp;
    	if ((cbrt((pow((2.0 * a), -1.0) * (-g + t_0))) + cbrt(((-1.0 / (2.0 * a)) * (g + t_0)))) <= -1e-100) {
    		tmp = t_2 + t_2;
    	} else {
    		tmp = cbrt((((h / a) * (h / g)) * -0.25)) + pow(t_1, 0.3333333333333333);
    	}
    	return tmp;
    }
    
    public static double code(double g, double h, double a) {
    	double t_0 = Math.sqrt(((g * g) - (h * h)));
    	double t_1 = (0.5 / a) * (-2.0 * g);
    	double t_2 = Math.cbrt(t_1);
    	double tmp;
    	if ((Math.cbrt((Math.pow((2.0 * a), -1.0) * (-g + t_0))) + Math.cbrt(((-1.0 / (2.0 * a)) * (g + t_0)))) <= -1e-100) {
    		tmp = t_2 + t_2;
    	} else {
    		tmp = Math.cbrt((((h / a) * (h / g)) * -0.25)) + Math.pow(t_1, 0.3333333333333333);
    	}
    	return tmp;
    }
    
    function code(g, h, a)
    	t_0 = sqrt(Float64(Float64(g * g) - Float64(h * h)))
    	t_1 = Float64(Float64(0.5 / a) * Float64(-2.0 * g))
    	t_2 = cbrt(t_1)
    	tmp = 0.0
    	if (Float64(cbrt(Float64((Float64(2.0 * a) ^ -1.0) * Float64(Float64(-g) + t_0))) + cbrt(Float64(Float64(-1.0 / Float64(2.0 * a)) * Float64(g + t_0)))) <= -1e-100)
    		tmp = Float64(t_2 + t_2);
    	else
    		tmp = Float64(cbrt(Float64(Float64(Float64(h / a) * Float64(h / g)) * -0.25)) + (t_1 ^ 0.3333333333333333));
    	end
    	return tmp
    end
    
    code[g_, h_, a_] := Block[{t$95$0 = N[Sqrt[N[(N[(g * g), $MachinePrecision] - N[(h * h), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 / a), $MachinePrecision] * N[(-2.0 * g), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[t$95$1, 1/3], $MachinePrecision]}, If[LessEqual[N[(N[Power[N[(N[Power[N[(2.0 * a), $MachinePrecision], -1.0], $MachinePrecision] * N[((-g) + t$95$0), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(N[(-1.0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision] * N[(g + t$95$0), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], -1e-100], N[(t$95$2 + t$95$2), $MachinePrecision], N[(N[Power[N[(N[(N[(h / a), $MachinePrecision] * N[(h / g), $MachinePrecision]), $MachinePrecision] * -0.25), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[t$95$1, 0.3333333333333333], $MachinePrecision]), $MachinePrecision]]]]]
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \sqrt{g \cdot g - h \cdot h}\\
    t_1 := \frac{0.5}{a} \cdot \left(-2 \cdot g\right)\\
    t_2 := \sqrt[3]{t\_1}\\
    \mathbf{if}\;\sqrt[3]{{\left(2 \cdot a\right)}^{-1} \cdot \left(\left(-g\right) + t\_0\right)} + \sqrt[3]{\frac{-1}{2 \cdot a} \cdot \left(g + t\_0\right)} \leq -1 \cdot 10^{-100}:\\
    \;\;\;\;t\_2 + t\_2\\
    
    \mathbf{else}:\\
    \;\;\;\;\sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + {t\_1}^{0.3333333333333333}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if (+.f64 (cbrt.f64 (*.f64 (/.f64 #s(literal 1 binary64) (*.f64 #s(literal 2 binary64) a)) (+.f64 (neg.f64 g) (sqrt.f64 (-.f64 (*.f64 g g) (*.f64 h h)))))) (cbrt.f64 (*.f64 (/.f64 #s(literal 1 binary64) (*.f64 #s(literal 2 binary64) a)) (-.f64 (neg.f64 g) (sqrt.f64 (-.f64 (*.f64 g g) (*.f64 h h))))))) < -1e-100

      1. Initial program 83.8%

        \[\sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) - \sqrt{g \cdot g - h \cdot h}\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in g around inf

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      4. Step-by-step derivation
        1. lower-*.f6454.9

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      5. Applied rewrites54.9%

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      6. Taylor expanded in g around -inf

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      7. Step-by-step derivation
        1. lower-*.f6417.4

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      8. Applied rewrites17.4%

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

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

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

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

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\frac{\color{blue}{\frac{1}{2}}}{a} \cdot \left(-2 \cdot g\right)} \]
        5. lower-/.f6417.4

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\color{blue}{\frac{0.5}{a}} \cdot \left(-2 \cdot g\right)} \]
      10. Applied rewrites17.4%

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} + \color{blue}{\sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)}} \]
      11. Step-by-step derivation
        1. lift-/.f64N/A

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

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

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

          \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{2}}}{a} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\frac{\frac{1}{2}}{a} \cdot \left(-2 \cdot g\right)} \]
        5. lift-/.f6417.4

          \[\leadsto \sqrt[3]{\color{blue}{\frac{0.5}{a}} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)} \]
      12. Applied rewrites17.4%

        \[\leadsto \color{blue}{\sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)}} + \sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)} \]

      if -1e-100 < (+.f64 (cbrt.f64 (*.f64 (/.f64 #s(literal 1 binary64) (*.f64 #s(literal 2 binary64) a)) (+.f64 (neg.f64 g) (sqrt.f64 (-.f64 (*.f64 g g) (*.f64 h h)))))) (cbrt.f64 (*.f64 (/.f64 #s(literal 1 binary64) (*.f64 #s(literal 2 binary64) a)) (-.f64 (neg.f64 g) (sqrt.f64 (-.f64 (*.f64 g g) (*.f64 h h)))))))

      1. Initial program 25.1%

        \[\sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) - \sqrt{g \cdot g - h \cdot h}\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in g around inf

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      4. Step-by-step derivation
        1. lower-*.f6416.0

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      5. Applied rewrites16.0%

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      6. Taylor expanded in g around inf

        \[\leadsto \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}} \cdot \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      7. Step-by-step derivation
        1. *-commutativeN/A

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

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

          \[\leadsto \color{blue}{\left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        4. lower-cbrt.f64N/A

          \[\leadsto \left(\color{blue}{\sqrt[3]{\frac{-1}{2}}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        5. lower-cbrt.f64N/A

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \color{blue}{\sqrt[3]{\frac{1}{2}}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        6. lower-cbrt.f64N/A

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        7. unpow2N/A

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

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h \cdot h}{\color{blue}{g \cdot a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        9. times-fracN/A

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        10. lower-*.f64N/A

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

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g}} \cdot \frac{h}{a}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        12. lower-/.f6467.0

          \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \color{blue}{\frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      8. Applied rewrites67.0%

        \[\leadsto \color{blue}{\left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      9. Step-by-step derivation
        1. lift-cbrt.f64N/A

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

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \color{blue}{{\left(\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)\right)}^{\frac{1}{3}}} \]
        3. lower-pow.f6446.3

          \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \color{blue}{{\left(\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)\right)}^{0.3333333333333333}} \]
        4. lift-/.f64N/A

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

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

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

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + {\left(\frac{\color{blue}{\frac{1}{2}}}{a} \cdot \left(-2 \cdot g\right)\right)}^{\frac{1}{3}} \]
        8. lower-/.f6446.3

          \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + {\left(\color{blue}{\frac{0.5}{a}} \cdot \left(-2 \cdot g\right)\right)}^{0.3333333333333333} \]
      10. Applied rewrites46.3%

        \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \color{blue}{{\left(\frac{0.5}{a} \cdot \left(-2 \cdot g\right)\right)}^{0.3333333333333333}} \]
      11. Step-by-step derivation
        1. Applied rewrites46.3%

          \[\leadsto \color{blue}{\sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25}} + {\left(\frac{0.5}{a} \cdot \left(-2 \cdot g\right)\right)}^{0.3333333333333333} \]
      12. Recombined 2 regimes into one program.
      13. Final simplification38.0%

        \[\leadsto \begin{array}{l} \mathbf{if}\;\sqrt[3]{{\left(2 \cdot a\right)}^{-1} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{-1}{2 \cdot a} \cdot \left(g + \sqrt{g \cdot g - h \cdot h}\right)} \leq -1 \cdot 10^{-100}:\\ \;\;\;\;\sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)}\\ \mathbf{else}:\\ \;\;\;\;\sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + {\left(\frac{0.5}{a} \cdot \left(-2 \cdot g\right)\right)}^{0.3333333333333333}\\ \end{array} \]
      14. Add Preprocessing

      Alternative 3: 93.7% accurate, 0.8× speedup?

      \[\begin{array}{l} \\ \sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g} \end{array} \]
      (FPCore (g h a)
       :precision binary64
       (+
        (cbrt (* (* (/ h a) (/ h g)) -0.25))
        (* (cbrt (/ 0.5 a)) (cbrt (* -2.0 g)))))
      double code(double g, double h, double a) {
      	return cbrt((((h / a) * (h / g)) * -0.25)) + (cbrt((0.5 / a)) * cbrt((-2.0 * g)));
      }
      
      public static double code(double g, double h, double a) {
      	return Math.cbrt((((h / a) * (h / g)) * -0.25)) + (Math.cbrt((0.5 / a)) * Math.cbrt((-2.0 * g)));
      }
      
      function code(g, h, a)
      	return Float64(cbrt(Float64(Float64(Float64(h / a) * Float64(h / g)) * -0.25)) + Float64(cbrt(Float64(0.5 / a)) * cbrt(Float64(-2.0 * g))))
      end
      
      code[g_, h_, a_] := N[(N[Power[N[(N[(N[(h / a), $MachinePrecision] * N[(h / g), $MachinePrecision]), $MachinePrecision] * -0.25), $MachinePrecision], 1/3], $MachinePrecision] + N[(N[Power[N[(0.5 / a), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(-2.0 * g), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
      
      \begin{array}{l}
      
      \\
      \sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g}
      \end{array}
      
      Derivation
      1. Initial program 41.8%

        \[\sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) - \sqrt{g \cdot g - h \cdot h}\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in g around inf

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      4. Step-by-step derivation
        1. lower-*.f6427.1

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      5. Applied rewrites27.1%

        \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
      6. Taylor expanded in g around inf

        \[\leadsto \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}} \cdot \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      7. Step-by-step derivation
        1. *-commutativeN/A

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

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

          \[\leadsto \color{blue}{\left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        4. lower-cbrt.f64N/A

          \[\leadsto \left(\color{blue}{\sqrt[3]{\frac{-1}{2}}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        5. lower-cbrt.f64N/A

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \color{blue}{\sqrt[3]{\frac{1}{2}}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        6. lower-cbrt.f64N/A

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        7. unpow2N/A

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

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h \cdot h}{\color{blue}{g \cdot a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        9. times-fracN/A

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        10. lower-*.f64N/A

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

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g}} \cdot \frac{h}{a}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        12. lower-/.f6473.3

          \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \color{blue}{\frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      8. Applied rewrites73.3%

        \[\leadsto \color{blue}{\left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
      9. Step-by-step derivation
        1. lift-cbrt.f64N/A

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

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

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

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

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

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

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

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

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

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

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

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

          \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \sqrt[3]{\frac{\frac{1}{2}}{a}} \cdot \color{blue}{\sqrt[3]{-2 \cdot g}} \]
        14. lower-cbrt.f6494.5

          \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \sqrt[3]{\frac{0.5}{a}} \cdot \color{blue}{\sqrt[3]{-2 \cdot g}} \]
      10. Applied rewrites94.5%

        \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}} + \color{blue}{\sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g}} \]
      11. Step-by-step derivation
        1. Applied rewrites94.5%

          \[\leadsto \color{blue}{\sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25}} + \sqrt[3]{\frac{0.5}{a}} \cdot \sqrt[3]{-2 \cdot g} \]
        2. Add Preprocessing

        Alternative 4: 74.7% accurate, 0.9× speedup?

        \[\begin{array}{l} \\ \sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + \sqrt[3]{{\left(2 \cdot a\right)}^{-1} \cdot \left(-2 \cdot g\right)} \end{array} \]
        (FPCore (g h a)
         :precision binary64
         (+
          (cbrt (* (* (/ h a) (/ h g)) -0.25))
          (cbrt (* (pow (* 2.0 a) -1.0) (* -2.0 g)))))
        double code(double g, double h, double a) {
        	return cbrt((((h / a) * (h / g)) * -0.25)) + cbrt((pow((2.0 * a), -1.0) * (-2.0 * g)));
        }
        
        public static double code(double g, double h, double a) {
        	return Math.cbrt((((h / a) * (h / g)) * -0.25)) + Math.cbrt((Math.pow((2.0 * a), -1.0) * (-2.0 * g)));
        }
        
        function code(g, h, a)
        	return Float64(cbrt(Float64(Float64(Float64(h / a) * Float64(h / g)) * -0.25)) + cbrt(Float64((Float64(2.0 * a) ^ -1.0) * Float64(-2.0 * g))))
        end
        
        code[g_, h_, a_] := N[(N[Power[N[(N[(N[(h / a), $MachinePrecision] * N[(h / g), $MachinePrecision]), $MachinePrecision] * -0.25), $MachinePrecision], 1/3], $MachinePrecision] + N[Power[N[(N[Power[N[(2.0 * a), $MachinePrecision], -1.0], $MachinePrecision] * N[(-2.0 * g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]
        
        \begin{array}{l}
        
        \\
        \sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + \sqrt[3]{{\left(2 \cdot a\right)}^{-1} \cdot \left(-2 \cdot g\right)}
        \end{array}
        
        Derivation
        1. Initial program 41.8%

          \[\sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) - \sqrt{g \cdot g - h \cdot h}\right)} \]
        2. Add Preprocessing
        3. Taylor expanded in g around inf

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
        4. Step-by-step derivation
          1. lower-*.f6427.1

            \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
        5. Applied rewrites27.1%

          \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
        6. Taylor expanded in g around inf

          \[\leadsto \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}} \cdot \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        7. Step-by-step derivation
          1. *-commutativeN/A

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

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

            \[\leadsto \color{blue}{\left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right)} \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          4. lower-cbrt.f64N/A

            \[\leadsto \left(\color{blue}{\sqrt[3]{\frac{-1}{2}}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          5. lower-cbrt.f64N/A

            \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \color{blue}{\sqrt[3]{\frac{1}{2}}}\right) \cdot \sqrt[3]{\frac{{h}^{2}}{a \cdot g}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          6. lower-cbrt.f64N/A

            \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{\frac{{h}^{2}}{a \cdot g}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          7. unpow2N/A

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

            \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\frac{h \cdot h}{\color{blue}{g \cdot a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          9. times-fracN/A

            \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          10. lower-*.f64N/A

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

            \[\leadsto \left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{\color{blue}{\frac{h}{g}} \cdot \frac{h}{a}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          12. lower-/.f6473.3

            \[\leadsto \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \color{blue}{\frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        8. Applied rewrites73.3%

          \[\leadsto \color{blue}{\left(\sqrt[3]{-0.5} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{\frac{h}{g} \cdot \frac{h}{a}}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
        9. Step-by-step derivation
          1. Applied rewrites73.3%

            \[\leadsto \color{blue}{\sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          2. Final simplification73.3%

            \[\leadsto \sqrt[3]{\left(\frac{h}{a} \cdot \frac{h}{g}\right) \cdot -0.25} + \sqrt[3]{{\left(2 \cdot a\right)}^{-1} \cdot \left(-2 \cdot g\right)} \]
          3. Add Preprocessing

          Alternative 5: 15.2% accurate, 1.2× speedup?

          \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)}\\ t\_0 + t\_0 \end{array} \end{array} \]
          (FPCore (g h a)
           :precision binary64
           (let* ((t_0 (cbrt (* (/ 0.5 a) (* -2.0 g))))) (+ t_0 t_0)))
          double code(double g, double h, double a) {
          	double t_0 = cbrt(((0.5 / a) * (-2.0 * g)));
          	return t_0 + t_0;
          }
          
          public static double code(double g, double h, double a) {
          	double t_0 = Math.cbrt(((0.5 / a) * (-2.0 * g)));
          	return t_0 + t_0;
          }
          
          function code(g, h, a)
          	t_0 = cbrt(Float64(Float64(0.5 / a) * Float64(-2.0 * g)))
          	return Float64(t_0 + t_0)
          end
          
          code[g_, h_, a_] := Block[{t$95$0 = N[Power[N[(N[(0.5 / a), $MachinePrecision] * N[(-2.0 * g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]}, N[(t$95$0 + t$95$0), $MachinePrecision]]
          
          \begin{array}{l}
          
          \\
          \begin{array}{l}
          t_0 := \sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)}\\
          t\_0 + t\_0
          \end{array}
          \end{array}
          
          Derivation
          1. Initial program 41.8%

            \[\sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) - \sqrt{g \cdot g - h \cdot h}\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in g around inf

            \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
          4. Step-by-step derivation
            1. lower-*.f6427.1

              \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
          5. Applied rewrites27.1%

            \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(\left(-g\right) + \sqrt{g \cdot g - h \cdot h}\right)} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} \]
          6. Taylor expanded in g around -inf

            \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          7. Step-by-step derivation
            1. lower-*.f6414.9

              \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \color{blue}{\left(-2 \cdot g\right)}} + \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} \]
          8. Applied rewrites14.9%

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

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

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

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

              \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\frac{\color{blue}{\frac{1}{2}}}{a} \cdot \left(-2 \cdot g\right)} \]
            5. lower-/.f6414.9

              \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\color{blue}{\frac{0.5}{a}} \cdot \left(-2 \cdot g\right)} \]
          10. Applied rewrites14.9%

            \[\leadsto \sqrt[3]{\frac{1}{2 \cdot a} \cdot \left(-2 \cdot g\right)} + \color{blue}{\sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)}} \]
          11. Step-by-step derivation
            1. lift-/.f64N/A

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

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

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

              \[\leadsto \sqrt[3]{\frac{\color{blue}{\frac{1}{2}}}{a} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\frac{\frac{1}{2}}{a} \cdot \left(-2 \cdot g\right)} \]
            5. lift-/.f6414.9

              \[\leadsto \sqrt[3]{\color{blue}{\frac{0.5}{a}} \cdot \left(-2 \cdot g\right)} + \sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)} \]
          12. Applied rewrites14.9%

            \[\leadsto \color{blue}{\sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)}} + \sqrt[3]{\frac{0.5}{a} \cdot \left(-2 \cdot g\right)} \]
          13. Add Preprocessing

          Reproduce

          ?
          herbie shell --seed 2024298 
          (FPCore (g h a)
            :name "2-ancestry mixing, positive discriminant"
            :precision binary64
            (+ (cbrt (* (/ 1.0 (* 2.0 a)) (+ (- g) (sqrt (- (* g g) (* h h)))))) (cbrt (* (/ 1.0 (* 2.0 a)) (- (- g) (sqrt (- (* g g) (* h h))))))))