(FPCore (x) :precision binary64 (- (cbrt (+ x 1.0)) (cbrt x)))
(FPCore (x)
:precision binary64
(let* ((t_0 (cbrt (+ 1.0 x))))
(/
(+ 1.0 (- x x))
(+
(* (cbrt (pow t_0 2.0)) (* t_0 (cbrt t_0)))
(fma (cbrt x) t_0 (pow (cbrt x) 2.0))))))double code(double x) {
return cbrt((x + 1.0)) - cbrt(x);
}
double code(double x) {
double t_0 = cbrt((1.0 + x));
return (1.0 + (x - x)) / ((cbrt(pow(t_0, 2.0)) * (t_0 * cbrt(t_0))) + fma(cbrt(x), t_0, pow(cbrt(x), 2.0)));
}
function code(x) return Float64(cbrt(Float64(x + 1.0)) - cbrt(x)) end
function code(x) t_0 = cbrt(Float64(1.0 + x)) return Float64(Float64(1.0 + Float64(x - x)) / Float64(Float64(cbrt((t_0 ^ 2.0)) * Float64(t_0 * cbrt(t_0))) + fma(cbrt(x), t_0, (cbrt(x) ^ 2.0)))) end
code[x_] := N[(N[Power[N[(x + 1.0), $MachinePrecision], 1/3], $MachinePrecision] - N[Power[x, 1/3], $MachinePrecision]), $MachinePrecision]
code[x_] := Block[{t$95$0 = N[Power[N[(1.0 + x), $MachinePrecision], 1/3], $MachinePrecision]}, N[(N[(1.0 + N[(x - x), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Power[N[Power[t$95$0, 2.0], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$0 * N[Power[t$95$0, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, 1/3], $MachinePrecision] * t$95$0 + N[Power[N[Power[x, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\sqrt[3]{x + 1} - \sqrt[3]{x}
\begin{array}{l}
t_0 := \sqrt[3]{1 + x}\\
\frac{1 + \left(x - x\right)}{\sqrt[3]{{t_0}^{2}} \cdot \left(t_0 \cdot \sqrt[3]{t_0}\right) + \mathsf{fma}\left(\sqrt[3]{x}, t_0, {\left(\sqrt[3]{x}\right)}^{2}\right)}
\end{array}



Bits error versus x
Initial program 29.9
Applied egg-rr29.3
Applied egg-rr15.5
Applied egg-rr0.6
Applied egg-rr0.6
Final simplification0.6
herbie shell --seed 2022153
(FPCore (x)
:name "2cbrt (problem 3.3.4)"
:precision binary64
(- (cbrt (+ x 1.0)) (cbrt x)))