(FPCore (v) :precision binary64 (acos (/ (- 1.0 (* 5.0 (* v v))) (- (* v v) 1.0))))
(FPCore (v) :precision binary64 (let* ((t_0 (log1p (acos (/ (fma v (* v -5.0) 1.0) (fma v v -1.0)))))) (expm1 (* (sqrt (expm1 (log1p t_0))) (sqrt t_0)))))
double code(double v) {
return acos(((1.0 - (5.0 * (v * v))) / ((v * v) - 1.0)));
}
double code(double v) {
double t_0 = log1p(acos((fma(v, (v * -5.0), 1.0) / fma(v, v, -1.0))));
return expm1((sqrt(expm1(log1p(t_0))) * sqrt(t_0)));
}
function code(v) return acos(Float64(Float64(1.0 - Float64(5.0 * Float64(v * v))) / Float64(Float64(v * v) - 1.0))) end
function code(v) t_0 = log1p(acos(Float64(fma(v, Float64(v * -5.0), 1.0) / fma(v, v, -1.0)))) return expm1(Float64(sqrt(expm1(log1p(t_0))) * sqrt(t_0))) end
code[v_] := N[ArcCos[N[(N[(1.0 - N[(5.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(v * v), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
code[v_] := Block[{t$95$0 = N[Log[1 + N[ArcCos[N[(N[(v * N[(v * -5.0), $MachinePrecision] + 1.0), $MachinePrecision] / N[(v * v + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, N[(Exp[N[(N[Sqrt[N[(Exp[N[Log[1 + t$95$0], $MachinePrecision]] - 1), $MachinePrecision]], $MachinePrecision] * N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision]] - 1), $MachinePrecision]]
\cos^{-1} \left(\frac{1 - 5 \cdot \left(v \cdot v\right)}{v \cdot v - 1}\right)
\begin{array}{l}
t_0 := \mathsf{log1p}\left(\cos^{-1} \left(\frac{\mathsf{fma}\left(v, v \cdot -5, 1\right)}{\mathsf{fma}\left(v, v, -1\right)}\right)\right)\\
\mathsf{expm1}\left(\sqrt{\mathsf{expm1}\left(\mathsf{log1p}\left(t_0\right)\right)} \cdot \sqrt{t_0}\right)
\end{array}



Bits error versus v
Initial program 0.5
Simplified0.5
Applied expm1-log1p-u_binary640.5
Applied add-sqr-sqrt_binary640.5
Applied expm1-log1p-u_binary640.5
Final simplification0.5
herbie shell --seed 2022130
(FPCore (v)
:name "Falkner and Boettcher, Appendix B, 1"
:precision binary64
(acos (/ (- 1.0 (* 5.0 (* v v))) (- (* v v) 1.0))))