Average Error: 15.6 → 0.9
Time: 4.3s
Precision: binary64
\[\sqrt[3]{\frac{g}{2 \cdot a}} \]
↓
\[\frac{1}{-\frac{\sqrt[3]{2 \cdot a}}{-\sqrt[3]{g}}} \]
(FPCore (g a) :precision binary64 (cbrt (/ g (* 2.0 a))))
↓
(FPCore (g a)
 :precision binary64
 (/ 1.0 (- (/ (cbrt (* 2.0 a)) (- (cbrt g))))))
double code(double g, double a) {
	return cbrt((g / (2.0 * a)));
}
↓
double code(double g, double a) {
	return 1.0 / -(cbrt((2.0 * a)) / -cbrt(g));
}

public static double code(double g, double a) {
	return Math.cbrt((g / (2.0 * a)));
}
↓
public static double code(double g, double a) {
	return 1.0 / -(Math.cbrt((2.0 * a)) / -Math.cbrt(g));
}

function code(g, a)
	return cbrt(Float64(g / Float64(2.0 * a)))
end
↓
function code(g, a)
	return Float64(1.0 / Float64(-Float64(cbrt(Float64(2.0 * a)) / Float64(-cbrt(g)))))
end

code[g_, a_] := N[Power[N[(g / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]
↓
code[g_, a_] := N[(1.0 / (-N[(N[Power[N[(2.0 * a), $MachinePrecision], 1/3], $MachinePrecision] / (-N[Power[g, 1/3], $MachinePrecision])), $MachinePrecision])), $MachinePrecision]

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

Error

Bits error versus g

Bits error versus a

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 15.6

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

  2. Applied egg-rr0.9

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

  3. Applied egg-rr0.9

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

  4. Final simplification0.9

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

Reproduce

herbie shell --seed 2022145 
(FPCore (g a)
  :name "2-ancestry mixing, zero discriminant"
  :precision binary64
  (cbrt (/ g (* 2.0 a))))