2-ancestry mixing, positive discriminant

Percentage Accurate: 43.5% → 95.9%

Time: 18.7s

Alternatives: 6

Speedup: 4.1×

Specification

Math

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

FPCore

(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))))))

C

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)));
}

Java

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)));
}

Julia

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

Wolfram

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]]]

Initial Program: 43.5% accurate, 1.0× speedup

Math

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

FPCore

(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))))))

C

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)));
}

Java

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)));
}

Julia

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

Wolfram

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]]]

Alternative 1: 95.9% accurate, 2.1× speedup

Math

\[\begin{array}{l} \\ \frac{\frac{-1}{\sqrt[3]{a}}}{\frac{1}{\sqrt[3]{g}}} \end{array} \]

FPCore

(FPCore (g h a) :precision binary64 (/ (/ -1.0 (cbrt a)) (/ 1.0 (cbrt g))))

C

double code(double g, double h, double a) {
	return (-1.0 / cbrt(a)) / (1.0 / cbrt(g));
}

Java

public static double code(double g, double h, double a) {
	return (-1.0 / Math.cbrt(a)) / (1.0 / Math.cbrt(g));
}

Julia

function code(g, h, a)
	return Float64(Float64(-1.0 / cbrt(a)) / Float64(1.0 / cbrt(g)))
end

Wolfram

code[g_, h_, a_] := N[(N[(-1.0 / N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision] / N[(1.0 / N[Power[g, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 40.2%

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

3. Taylor expanded in g around -inf

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

   1. mul-1-neg N/A

      \[\leadsto \mathsf{neg}\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right) \]

   2. neg-sub0 N/A

      \[\leadsto 0 - \color{blue}{\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)} \]

   3. --lowering--.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \color{blue}{\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right)}\right) \]

   4. associate-*r* N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{2}}\right)\right) \]

   5. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right), \color{blue}{\left(\sqrt[3]{2}\right)}\right)\right) \]

   6. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}}\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{\color{blue}{2}}\right)\right)\right) \]

   7. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\left(\frac{g}{a}\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   8. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   9. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   10. cbrt-lowering-cbrt.f64 74.1%

       \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \mathsf{cbrt.f64}\left(2\right)\right)\right) \]

5. Simplified 74.1%

   \[\leadsto \color{blue}{0 - \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{2}} \]
6. Step-by-step derivation

   1. sub0-neg N/A

      \[\leadsto \mathsf{neg}\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right) \]

   2. neg-lowering-neg.f64 N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)\right) \]

   3. *-commutative N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)\right) \]

   4. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}}\right)\right) \]

   5. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)}\right)\right) \]

   6. rem-cube-cbrt N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)}\right)}^{3}}\right)\right) \]

   7. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}}\right)}^{3}}\right)\right) \]

   8. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}}\right)\right) \]

   9. *-commutative N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}}\right)\right) \]

   10. cbrt-lowering-cbrt.f64 N/A

       \[\leadsto \mathsf{neg.f64}\left(\mathsf{cbrt.f64}\left(\left({\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}\right)\right)\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{neg.f64}\left(\mathsf{cbrt.f64}\left(\left({\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}\right)\right)\right) \]

7. Applied egg-rr 74.9%

   \[\leadsto \color{blue}{-\sqrt[3]{\frac{g}{a}}} \]
8. Step-by-step derivation

   1. neg-mul-1 N/A

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

   2. clear-num N/A

      \[\leadsto -1 \cdot \sqrt[3]{\frac{1}{\frac{a}{g}}} \]

   3. cbrt-div N/A

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

   4. metadata-eval N/A

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

   5. un-div-inv N/A

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

   6. div-inv N/A

      \[\leadsto \frac{-1}{\sqrt[3]{a \cdot \frac{1}{g}}} \]

   7. cbrt-prod N/A

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

   8. pow1/3 N/A

      \[\leadsto \frac{-1}{\sqrt[3]{a} \cdot {\left(\frac{1}{g}\right)}^{\color{blue}{\frac{1}{3}}}} \]

   9. associate-/r* N/A

      \[\leadsto \frac{\frac{-1}{\sqrt[3]{a}}}{\color{blue}{{\left(\frac{1}{g}\right)}^{\frac{1}{3}}}} \]

   10. /-lowering-/.f64 N/A

       \[\leadsto \mathsf{/.f64}\left(\left(\frac{-1}{\sqrt[3]{a}}\right), \color{blue}{\left({\left(\frac{1}{g}\right)}^{\frac{1}{3}}\right)}\right) \]

   11. /-lowering-/.f64 N/A

       \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(-1, \left(\sqrt[3]{a}\right)\right), \left({\color{blue}{\left(\frac{1}{g}\right)}}^{\frac{1}{3}}\right)\right) \]

   12. cbrt-lowering-cbrt.f64 N/A

       \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(-1, \mathsf{cbrt.f64}\left(a\right)\right), \left({\left(\frac{1}{\color{blue}{g}}\right)}^{\frac{1}{3}}\right)\right) \]

   13. pow1/3 N/A

       \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(-1, \mathsf{cbrt.f64}\left(a\right)\right), \left(\sqrt[3]{\frac{1}{g}}\right)\right) \]

   14. cbrt-div N/A

       \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(-1, \mathsf{cbrt.f64}\left(a\right)\right), \left(\frac{\sqrt[3]{1}}{\color{blue}{\sqrt[3]{g}}}\right)\right) \]

   15. metadata-eval N/A

       \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(-1, \mathsf{cbrt.f64}\left(a\right)\right), \left(\frac{1}{\sqrt[3]{\color{blue}{g}}}\right)\right) \]

   16. /-lowering-/.f64 N/A

       \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(-1, \mathsf{cbrt.f64}\left(a\right)\right), \mathsf{/.f64}\left(1, \color{blue}{\left(\sqrt[3]{g}\right)}\right)\right) \]

   17. cbrt-lowering-cbrt.f64 95.6%

       \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(-1, \mathsf{cbrt.f64}\left(a\right)\right), \mathsf{/.f64}\left(1, \mathsf{cbrt.f64}\left(g\right)\right)\right) \]

9. Applied egg-rr 95.6%

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

Alternative 2: 95.9% accurate, 2.1× speedup

Math

\[\begin{array}{l} \\ \sqrt[3]{g} \cdot \sqrt[3]{\frac{-1}{a}} \end{array} \]

FPCore

(FPCore (g h a) :precision binary64 (* (cbrt g) (cbrt (/ -1.0 a))))

C

double code(double g, double h, double a) {
	return cbrt(g) * cbrt((-1.0 / a));
}

Java

public static double code(double g, double h, double a) {
	return Math.cbrt(g) * Math.cbrt((-1.0 / a));
}

Julia

function code(g, h, a)
	return Float64(cbrt(g) * cbrt(Float64(-1.0 / a)))
end

Wolfram

code[g_, h_, a_] := N[(N[Power[g, 1/3], $MachinePrecision] * N[Power[N[(-1.0 / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 40.2%

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

3. Taylor expanded in g around -inf

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

   1. mul-1-neg N/A

      \[\leadsto \mathsf{neg}\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right) \]

   2. neg-sub0 N/A

      \[\leadsto 0 - \color{blue}{\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)} \]

   3. --lowering--.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \color{blue}{\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right)}\right) \]

   4. associate-*r* N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{2}}\right)\right) \]

   5. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right), \color{blue}{\left(\sqrt[3]{2}\right)}\right)\right) \]

   6. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}}\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{\color{blue}{2}}\right)\right)\right) \]

   7. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\left(\frac{g}{a}\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   8. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   9. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   10. cbrt-lowering-cbrt.f64 74.1%

       \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \mathsf{cbrt.f64}\left(2\right)\right)\right) \]

5. Simplified 74.1%

   \[\leadsto \color{blue}{0 - \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{2}} \]
6. Step-by-step derivation

   1. associate-*l* N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{\frac{g}{a}} \cdot \color{blue}{\left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)}\right)\right) \]

   2. cbrt-unprod N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2} \cdot 2}\right)\right) \]

   3. metadata-eval N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{1}\right)\right) \]

   4. metadata-eval N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{\frac{g}{a}} \cdot 1\right)\right) \]

   5. *-commutative N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(1 \cdot \color{blue}{\sqrt[3]{\frac{g}{a}}}\right)\right) \]

   6. metadata-eval N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{1} \cdot \sqrt[3]{\color{blue}{\frac{g}{a}}}\right)\right) \]

   7. cbrt-prod N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{1 \cdot \frac{g}{a}}\right)\right) \]

   8. clear-num N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{1 \cdot \frac{1}{\frac{a}{g}}}\right)\right) \]

   9. div-inv N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{\frac{1}{\frac{a}{g}}}\right)\right) \]

   10. clear-num N/A

       \[\leadsto \mathsf{\_.f64}\left(0, \left(\sqrt[3]{\frac{g}{a}}\right)\right) \]

   11. cbrt-div N/A

       \[\leadsto \mathsf{\_.f64}\left(0, \left(\frac{\sqrt[3]{g}}{\color{blue}{\sqrt[3]{a}}}\right)\right) \]

   12. /-lowering-/.f64 N/A

       \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{/.f64}\left(\left(\sqrt[3]{g}\right), \color{blue}{\left(\sqrt[3]{a}\right)}\right)\right) \]

   13. cbrt-lowering-cbrt.f64 N/A

       \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{/.f64}\left(\mathsf{cbrt.f64}\left(g\right), \left(\sqrt[3]{\color{blue}{a}}\right)\right)\right) \]

   14. cbrt-lowering-cbrt.f64 95.6%

       \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{/.f64}\left(\mathsf{cbrt.f64}\left(g\right), \mathsf{cbrt.f64}\left(a\right)\right)\right) \]

7. Applied egg-rr 95.6%

   \[\leadsto 0 - \color{blue}{\frac{\sqrt[3]{g}}{\sqrt[3]{a}}} \]

9. Applied egg-rr 95.6%

   \[\leadsto \color{blue}{\sqrt[3]{g} \cdot \sqrt[3]{\frac{1}{0 - a}}} \]
10. Step-by-step derivation

    1. cbrt-lowering-cbrt.f64 N/A

       \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(g\right), \mathsf{cbrt.f64}\left(\left(\frac{1}{0 - a}\right)\right)\right) \]

    2. metadata-eval N/A

       \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(g\right), \mathsf{cbrt.f64}\left(\left(\frac{\mathsf{neg}\left(-1\right)}{0 - a}\right)\right)\right) \]

    3. sub0-neg N/A

       \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(g\right), \mathsf{cbrt.f64}\left(\left(\frac{\mathsf{neg}\left(-1\right)}{\mathsf{neg}\left(a\right)}\right)\right)\right) \]

    4. frac-2neg N/A

       \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(g\right), \mathsf{cbrt.f64}\left(\left(\frac{-1}{a}\right)\right)\right) \]

    5. /-lowering-/.f64 95.6%

       \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(g\right), \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(-1, a\right)\right)\right) \]

11. Applied egg-rr 95.6%

    \[\leadsto \sqrt[3]{g} \cdot \color{blue}{\sqrt[3]{\frac{-1}{a}}} \]
12. Add Preprocessing

Alternative 3: 95.9% accurate, 2.1× speedup

Math

\[\begin{array}{l} \\ \frac{\sqrt[3]{g}}{0 - \sqrt[3]{a}} \end{array} \]

FPCore

(FPCore (g h a) :precision binary64 (/ (cbrt g) (- 0.0 (cbrt a))))

C

double code(double g, double h, double a) {
	return cbrt(g) / (0.0 - cbrt(a));
}

Java

public static double code(double g, double h, double a) {
	return Math.cbrt(g) / (0.0 - Math.cbrt(a));
}

Julia

function code(g, h, a)
	return Float64(cbrt(g) / Float64(0.0 - cbrt(a)))
end

Wolfram

code[g_, h_, a_] := N[(N[Power[g, 1/3], $MachinePrecision] / N[(0.0 - N[Power[a, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 40.2%

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

3. Taylor expanded in g around -inf

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

   1. mul-1-neg N/A

      \[\leadsto \mathsf{neg}\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right) \]

   2. neg-sub0 N/A

      \[\leadsto 0 - \color{blue}{\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)} \]

   3. --lowering--.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \color{blue}{\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right)}\right) \]

   4. associate-*r* N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{2}}\right)\right) \]

   5. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right), \color{blue}{\left(\sqrt[3]{2}\right)}\right)\right) \]

   6. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}}\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{\color{blue}{2}}\right)\right)\right) \]

   7. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\left(\frac{g}{a}\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   8. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   9. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   10. cbrt-lowering-cbrt.f64 74.1%

       \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \mathsf{cbrt.f64}\left(2\right)\right)\right) \]

5. Simplified 74.1%

   \[\leadsto \color{blue}{0 - \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{2}} \]
6. Step-by-step derivation

   1. sub0-neg N/A

      \[\leadsto \mathsf{neg}\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right) \]

   2. neg-lowering-neg.f64 N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)\right) \]

   3. *-commutative N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)\right) \]

   4. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}}\right)\right) \]

   5. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)}\right)\right) \]

   6. rem-cube-cbrt N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)}\right)}^{3}}\right)\right) \]

   7. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}}\right)}^{3}}\right)\right) \]

   8. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}}\right)\right) \]

   9. *-commutative N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}}\right)\right) \]

   10. cbrt-lowering-cbrt.f64 N/A

       \[\leadsto \mathsf{neg.f64}\left(\mathsf{cbrt.f64}\left(\left({\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}\right)\right)\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{neg.f64}\left(\mathsf{cbrt.f64}\left(\left({\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}\right)\right)\right) \]

7. Applied egg-rr 74.9%

   \[\leadsto \color{blue}{-\sqrt[3]{\frac{g}{a}}} \]
8. Step-by-step derivation

   1. cbrt-div N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\frac{\sqrt[3]{g}}{\sqrt[3]{a}}\right)\right) \]

   2. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{neg.f64}\left(\mathsf{/.f64}\left(\left(\sqrt[3]{g}\right), \left(\sqrt[3]{a}\right)\right)\right) \]

   3. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{neg.f64}\left(\mathsf{/.f64}\left(\mathsf{cbrt.f64}\left(g\right), \left(\sqrt[3]{a}\right)\right)\right) \]

   4. cbrt-lowering-cbrt.f64 95.6%

      \[\leadsto \mathsf{neg.f64}\left(\mathsf{/.f64}\left(\mathsf{cbrt.f64}\left(g\right), \mathsf{cbrt.f64}\left(a\right)\right)\right) \]

9. Applied egg-rr 95.6%

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

10. Final simplification 95.6%

    \[\leadsto \frac{\sqrt[3]{g}}{0 - \sqrt[3]{a}} \]
11. Add Preprocessing

Alternative 4: 73.4% accurate, 4.0× speedup

Math

\[\begin{array}{l} \\ \frac{1}{\sqrt[3]{0 - \frac{a}{g}}} \end{array} \]

FPCore

(FPCore (g h a) :precision binary64 (/ 1.0 (cbrt (- 0.0 (/ a g)))))

C

double code(double g, double h, double a) {
	return 1.0 / cbrt((0.0 - (a / g)));
}

Java

public static double code(double g, double h, double a) {
	return 1.0 / Math.cbrt((0.0 - (a / g)));
}

Julia

function code(g, h, a)
	return Float64(1.0 / cbrt(Float64(0.0 - Float64(a / g))))
end

Wolfram

code[g_, h_, a_] := N[(1.0 / N[Power[N[(0.0 - N[(a / g), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 40.2%

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

3. Taylor expanded in g around inf

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

   1. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}}\right), \color{blue}{\left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{2}\right)}\right) \]

   2. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\left(\frac{g}{a}\right)\right), \left(\color{blue}{\sqrt[3]{\frac{-1}{2}}} \cdot \sqrt[3]{2}\right)\right) \]

   3. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \left(\sqrt[3]{\color{blue}{\frac{-1}{2}}} \cdot \sqrt[3]{2}\right)\right) \]

   4. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{-1}{2}}\right), \color{blue}{\left(\sqrt[3]{2}\right)}\right)\right) \]

   5. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\frac{-1}{2}\right), \left(\sqrt[3]{\color{blue}{2}}\right)\right)\right) \]

   6. cbrt-lowering-cbrt.f64 74.3%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\frac{-1}{2}\right), \mathsf{cbrt.f64}\left(2\right)\right)\right) \]

5. Simplified 74.3%

   \[\leadsto \color{blue}{\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{2}\right)} \]
6. Step-by-step derivation

   1. *-commutative N/A

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

   2. *-commutative N/A

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

   3. pow1/3 N/A

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

   4. sqr-pow N/A

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

   5. pow-prod-down N/A

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

   6. metadata-eval N/A

      \[\leadsto \left(\sqrt[3]{2} \cdot {\frac{1}{4}}^{\left(\frac{\frac{1}{3}}{2}\right)}\right) \cdot \sqrt[3]{\frac{g}{a}} \]

   7. metadata-eval N/A

      \[\leadsto \left(\sqrt[3]{2} \cdot {\left(\frac{1}{2} \cdot \frac{1}{2}\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right) \cdot \sqrt[3]{\frac{g}{a}} \]

   8. pow-prod-down N/A

      \[\leadsto \left(\sqrt[3]{2} \cdot \left({\frac{1}{2}}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\frac{1}{2}}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \cdot \sqrt[3]{\frac{g}{\color{blue}{a}}} \]

   9. sqr-pow N/A

      \[\leadsto \left(\sqrt[3]{2} \cdot {\frac{1}{2}}^{\frac{1}{3}}\right) \cdot \sqrt[3]{\frac{g}{\color{blue}{a}}} \]

   10. pow1/3 N/A

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

   11. *-commutative N/A

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

   12. cbrt-unprod N/A

       \[\leadsto \sqrt[3]{\frac{1}{2} \cdot 2} \cdot \sqrt[3]{\color{blue}{\frac{g}{a}}} \]

   13. metadata-eval N/A

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

   14. cbrt-prod N/A

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

   15. clear-num N/A

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

   16. div-inv N/A

       \[\leadsto \sqrt[3]{\frac{1}{\frac{a}{g}}} \]

   17. frac-2neg N/A

       \[\leadsto \sqrt[3]{\frac{\mathsf{neg}\left(1\right)}{\mathsf{neg}\left(\frac{a}{g}\right)}} \]

   18. metadata-eval N/A

       \[\leadsto \sqrt[3]{\frac{-1}{\mathsf{neg}\left(\frac{a}{g}\right)}} \]

   19. metadata-eval N/A

       \[\leadsto \sqrt[3]{\frac{\frac{-1}{2} \cdot 2}{\mathsf{neg}\left(\frac{a}{g}\right)}} \]

   20. cbrt-div N/A

       \[\leadsto \frac{\sqrt[3]{\frac{-1}{2} \cdot 2}}{\color{blue}{\sqrt[3]{\mathsf{neg}\left(\frac{a}{g}\right)}}} \]

7. Applied egg-rr 76.0%

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

8. Final simplification 75.6%

   \[\leadsto \frac{1}{\sqrt[3]{0 - \frac{a}{g}}} \]
9. Add Preprocessing

Alternative 5: 73.2% accurate, 4.1× speedup

Math

\[\begin{array}{l} \\ 0 - \sqrt[3]{\frac{g}{a}} \end{array} \]

FPCore

(FPCore (g h a) :precision binary64 (- 0.0 (cbrt (/ g a))))

C

double code(double g, double h, double a) {
	return 0.0 - cbrt((g / a));
}

Java

public static double code(double g, double h, double a) {
	return 0.0 - Math.cbrt((g / a));
}

Julia

function code(g, h, a)
	return Float64(0.0 - cbrt(Float64(g / a)))
end

Wolfram

code[g_, h_, a_] := N[(0.0 - N[Power[N[(g / a), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 40.2%

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

3. Taylor expanded in g around -inf

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

   1. mul-1-neg N/A

      \[\leadsto \mathsf{neg}\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right) \]

   2. neg-sub0 N/A

      \[\leadsto 0 - \color{blue}{\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)} \]

   3. --lowering--.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \color{blue}{\left(\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{\frac{1}{2}} \cdot \sqrt[3]{2}\right)\right)}\right) \]

   4. associate-*r* N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \color{blue}{\sqrt[3]{2}}\right)\right) \]

   5. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right), \color{blue}{\left(\sqrt[3]{2}\right)}\right)\right) \]

   6. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}}\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{\color{blue}{2}}\right)\right)\right) \]

   7. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\left(\frac{g}{a}\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   8. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \left(\sqrt[3]{\frac{1}{2}}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   9. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \left(\sqrt[3]{2}\right)\right)\right) \]

   10. cbrt-lowering-cbrt.f64 74.1%

       \[\leadsto \mathsf{\_.f64}\left(0, \mathsf{*.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{cbrt.f64}\left(\frac{1}{2}\right)\right), \mathsf{cbrt.f64}\left(2\right)\right)\right) \]

5. Simplified 74.1%

   \[\leadsto \color{blue}{0 - \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{0.5}\right) \cdot \sqrt[3]{2}} \]
6. Step-by-step derivation

   1. sub0-neg N/A

      \[\leadsto \mathsf{neg}\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right) \]

   2. neg-lowering-neg.f64 N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)\right) \]

   3. *-commutative N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)\right) \]

   4. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}}\right)\right) \]

   5. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)}\right)\right) \]

   6. rem-cube-cbrt N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)}\right)}^{3}}\right)\right) \]

   7. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}}\right)}^{3}}\right)\right) \]

   8. cbrt-unprod N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}}\right)\right) \]

   9. *-commutative N/A

      \[\leadsto \mathsf{neg.f64}\left(\left(\sqrt[3]{{\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}}\right)\right) \]

   10. cbrt-lowering-cbrt.f64 N/A

       \[\leadsto \mathsf{neg.f64}\left(\mathsf{cbrt.f64}\left(\left({\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}\right)\right)\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{neg.f64}\left(\mathsf{cbrt.f64}\left(\left({\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}\right)\right)\right) \]

7. Applied egg-rr 74.9%

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

8. Final simplification 74.9%

   \[\leadsto 0 - \sqrt[3]{\frac{g}{a}} \]
9. Add Preprocessing

Alternative 6: 1.3% accurate, 4.2× speedup

Math

\[\begin{array}{l} \\ \sqrt[3]{\frac{g}{a}} \end{array} \]

FPCore

(FPCore (g h a) :precision binary64 (cbrt (/ g a)))

C

double code(double g, double h, double a) {
	return cbrt((g / a));
}

Java

public static double code(double g, double h, double a) {
	return Math.cbrt((g / a));
}

Julia

function code(g, h, a)
	return cbrt(Float64(g / a))
end

Wolfram

code[g_, h_, a_] := N[Power[N[(g / a), $MachinePrecision], 1/3], $MachinePrecision]

Derivation

1. Initial program 40.2%

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

3. Taylor expanded in g around inf

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

   1. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{g}{a}}\right), \color{blue}{\left(\sqrt[3]{\frac{-1}{2}} \cdot \sqrt[3]{2}\right)}\right) \]

   2. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\left(\frac{g}{a}\right)\right), \left(\color{blue}{\sqrt[3]{\frac{-1}{2}}} \cdot \sqrt[3]{2}\right)\right) \]

   3. /-lowering-/.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \left(\sqrt[3]{\color{blue}{\frac{-1}{2}}} \cdot \sqrt[3]{2}\right)\right) \]

   4. *-lowering-*.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{-1}{2}}\right), \color{blue}{\left(\sqrt[3]{2}\right)}\right)\right) \]

   5. cbrt-lowering-cbrt.f64 N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\frac{-1}{2}\right), \left(\sqrt[3]{\color{blue}{2}}\right)\right)\right) \]

   6. cbrt-lowering-cbrt.f64 74.3%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(g, a\right)\right), \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(\frac{-1}{2}\right), \mathsf{cbrt.f64}\left(2\right)\right)\right) \]

5. Simplified 74.3%

   \[\leadsto \color{blue}{\sqrt[3]{\frac{g}{a}} \cdot \left(\sqrt[3]{-0.5} \cdot \sqrt[3]{2}\right)} \]
6. Step-by-step derivation

   1. pow1/3 N/A

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

   2. sqr-pow N/A

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

   3. pow-prod-down N/A

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

   4. metadata-eval N/A

      \[\leadsto \sqrt[3]{\frac{g}{a}} \cdot \left({\frac{1}{4}}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot \sqrt[3]{2}\right) \]

   5. metadata-eval N/A

      \[\leadsto \sqrt[3]{\frac{g}{a}} \cdot \left({\left(\frac{1}{2} \cdot \frac{1}{2}\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot \sqrt[3]{2}\right) \]

   6. pow-prod-down N/A

      \[\leadsto \sqrt[3]{\frac{g}{a}} \cdot \left(\left({\frac{1}{2}}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\frac{1}{2}}^{\left(\frac{\frac{1}{3}}{2}\right)}\right) \cdot \sqrt[3]{\color{blue}{2}}\right) \]

   7. sqr-pow N/A

      \[\leadsto \sqrt[3]{\frac{g}{a}} \cdot \left({\frac{1}{2}}^{\frac{1}{3}} \cdot \sqrt[3]{\color{blue}{2}}\right) \]

   8. pow1/3 N/A

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

   9. associate-*l* N/A

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

   10. *-commutative N/A

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

   11. cbrt-unprod N/A

       \[\leadsto \sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}} \]

   12. cbrt-unprod N/A

       \[\leadsto \sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)} \]

   13. rem-cube-cbrt N/A

       \[\leadsto \sqrt[3]{{\left(\sqrt[3]{2 \cdot \left(\frac{g}{a} \cdot \frac{1}{2}\right)}\right)}^{3}} \]

   14. cbrt-unprod N/A

       \[\leadsto \sqrt[3]{{\left(\sqrt[3]{2} \cdot \sqrt[3]{\frac{g}{a} \cdot \frac{1}{2}}\right)}^{3}} \]

   15. cbrt-unprod N/A

       \[\leadsto \sqrt[3]{{\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}} \]

   16. *-commutative N/A

       \[\leadsto \sqrt[3]{{\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}} \]

   17. cbrt-lowering-cbrt.f64 N/A

       \[\leadsto \mathsf{cbrt.f64}\left(\left({\left(\left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right) \cdot \sqrt[3]{2}\right)}^{3}\right)\right) \]

   18. *-commutative N/A

       \[\leadsto \mathsf{cbrt.f64}\left(\left({\left(\sqrt[3]{2} \cdot \left(\sqrt[3]{\frac{g}{a}} \cdot \sqrt[3]{\frac{1}{2}}\right)\right)}^{3}\right)\right) \]

7. Applied egg-rr 1.3%

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

Reproduce

herbie shell --seed 2024139 
(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))))))))