\[\lambda_1 + \tan^{-1}_* \frac{\left(\sin theta \cdot \sin delta\right) \cdot \cos \phi_1}{\cos delta - \sin \phi_1 \cdot \sin \sin^{-1} \left(\sin \phi_1 \cdot \cos delta + \left(\cos \phi_1 \cdot \sin delta\right) \cdot \cos theta\right)}
\]
↓
\[\begin{array}{l}
t_1 := \sin delta \cdot \cos \phi_1\\
\lambda_1 + \tan^{-1}_* \frac{\sin theta \cdot t_1}{\mathsf{fma}\left(\mathsf{log1p}\left(\mathsf{expm1}\left(t_1 \cdot \cos theta\right)\right) + \cos delta \cdot \sin \phi_1, -\sin \phi_1, \cos delta\right)}
\end{array}
\]
(FPCore (lambda1 phi1 phi2 delta theta)
:precision binary64
(+
lambda1
(atan2
(* (* (sin theta) (sin delta)) (cos phi1))
(-
(cos delta)
(*
(sin phi1)
(sin
(asin
(+
(* (sin phi1) (cos delta))
(* (* (cos phi1) (sin delta)) (cos theta))))))))))↓
(FPCore (lambda1 phi1 phi2 delta theta)
:precision binary64
(let* ((t_1 (* (sin delta) (cos phi1))))
(+
lambda1
(atan2
(* (sin theta) t_1)
(fma
(+ (log1p (expm1 (* t_1 (cos theta)))) (* (cos delta) (sin phi1)))
(- (sin phi1))
(cos delta))))))double code(double lambda1, double phi1, double phi2, double delta, double theta) {
return lambda1 + atan2(((sin(theta) * sin(delta)) * cos(phi1)), (cos(delta) - (sin(phi1) * sin(asin(((sin(phi1) * cos(delta)) + ((cos(phi1) * sin(delta)) * cos(theta))))))));
}
↓
double code(double lambda1, double phi1, double phi2, double delta, double theta) {
double t_1 = sin(delta) * cos(phi1);
return lambda1 + atan2((sin(theta) * t_1), fma((log1p(expm1((t_1 * cos(theta)))) + (cos(delta) * sin(phi1))), -sin(phi1), cos(delta)));
}
function code(lambda1, phi1, phi2, delta, theta)
return Float64(lambda1 + atan(Float64(Float64(sin(theta) * sin(delta)) * cos(phi1)), Float64(cos(delta) - Float64(sin(phi1) * sin(asin(Float64(Float64(sin(phi1) * cos(delta)) + Float64(Float64(cos(phi1) * sin(delta)) * cos(theta)))))))))
end
↓
function code(lambda1, phi1, phi2, delta, theta)
t_1 = Float64(sin(delta) * cos(phi1))
return Float64(lambda1 + atan(Float64(sin(theta) * t_1), fma(Float64(log1p(expm1(Float64(t_1 * cos(theta)))) + Float64(cos(delta) * sin(phi1))), Float64(-sin(phi1)), cos(delta))))
end
code[lambda1_, phi1_, phi2_, delta_, theta_] := N[(lambda1 + N[ArcTan[N[(N[(N[Sin[theta], $MachinePrecision] * N[Sin[delta], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[delta], $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Sin[N[ArcSin[N[(N[(N[Sin[phi1], $MachinePrecision] * N[Cos[delta], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[delta], $MachinePrecision]), $MachinePrecision] * N[Cos[theta], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
↓
code[lambda1_, phi1_, phi2_, delta_, theta_] := Block[{t$95$1 = N[(N[Sin[delta], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, N[(lambda1 + N[ArcTan[N[(N[Sin[theta], $MachinePrecision] * t$95$1), $MachinePrecision] / N[(N[(N[Log[1 + N[(Exp[N[(t$95$1 * N[Cos[theta], $MachinePrecision]), $MachinePrecision]] - 1), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[delta], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision]) + N[Cos[delta], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\lambda_1 + \tan^{-1}_* \frac{\left(\sin theta \cdot \sin delta\right) \cdot \cos \phi_1}{\cos delta - \sin \phi_1 \cdot \sin \sin^{-1} \left(\sin \phi_1 \cdot \cos delta + \left(\cos \phi_1 \cdot \sin delta\right) \cdot \cos theta\right)}
↓
\begin{array}{l}
t_1 := \sin delta \cdot \cos \phi_1\\
\lambda_1 + \tan^{-1}_* \frac{\sin theta \cdot t_1}{\mathsf{fma}\left(\mathsf{log1p}\left(\mathsf{expm1}\left(t_1 \cdot \cos theta\right)\right) + \cos delta \cdot \sin \phi_1, -\sin \phi_1, \cos delta\right)}
\end{array}
Alternatives
| Alternative 1 |
|---|
| Accuracy | 99.8% |
|---|
| Cost | 78016 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\sin theta \cdot \left(\sin delta \cdot \cos \phi_1\right)}{\mathsf{fma}\left(\cos delta \cdot \sin \phi_1 + \sin delta \cdot \left(\cos \phi_1 \cdot \cos theta\right), -\sin \phi_1, \cos delta\right)}
\]
| Alternative 2 |
|---|
| Accuracy | 99.8% |
|---|
| Cost | 71680 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\sin theta \cdot \left(\sin delta \cdot \cos \phi_1\right)}{\cos delta - \sin \phi_1 \cdot \left(\cos delta \cdot \sin \phi_1 + \sin delta \cdot \left(\cos \phi_1 \cdot \cos theta\right)\right)}
\]
| Alternative 3 |
|---|
| Accuracy | 94.5% |
|---|
| Cost | 65152 |
|---|
\[\begin{array}{l}
t_1 := \sin delta \cdot \cos \phi_1\\
\lambda_1 + \tan^{-1}_* \frac{\sin theta \cdot t_1}{\cos delta - \sin \phi_1 \cdot \left(t_1 + \cos delta \cdot \sin \phi_1\right)}
\end{array}
\]
| Alternative 4 |
|---|
| Accuracy | 92.1% |
|---|
| Cost | 52224 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\mathsf{expm1}\left(\mathsf{log1p}\left(\sin theta \cdot \left(\sin delta \cdot \cos \phi_1\right)\right)\right)}{\cos delta + \frac{\cos \left(\phi_1 \cdot 2\right) + -1}{2}}
\]
| Alternative 5 |
|---|
| Accuracy | 92.1% |
|---|
| Cost | 52160 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\cos \phi_1 \cdot \left(\sin theta \cdot \sin delta\right)}{\cos delta - \frac{e^{\mathsf{log1p}\left(-\cos \left(\phi_1 + \phi_1\right)\right)}}{2}}
\]
| Alternative 6 |
|---|
| Accuracy | 92.1% |
|---|
| Cost | 39424 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\sin delta \cdot \left(\sin theta \cdot \cos \phi_1\right)}{\cos delta + \frac{\cos \left(\phi_1 \cdot 2\right) + -1}{2}}
\]
| Alternative 7 |
|---|
| Accuracy | 92.1% |
|---|
| Cost | 39424 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\cos \phi_1 \cdot \left(\sin theta \cdot \sin delta\right)}{\cos delta + \frac{\cos \left(\phi_1 \cdot 2\right) + -1}{2}}
\]
| Alternative 8 |
|---|
| Accuracy | 89.0% |
|---|
| Cost | 32512 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\sin delta \cdot \left(\sin theta \cdot \cos \phi_1\right)}{\cos delta}
\]
| Alternative 9 |
|---|
| Accuracy | 86.9% |
|---|
| Cost | 25984 |
|---|
\[\lambda_1 + \tan^{-1}_* \frac{\sin theta \cdot \sin delta}{\cos delta}
\]
| Alternative 10 |
|---|
| Accuracy | 76.9% |
|---|
| Cost | 19849 |
|---|
\[\begin{array}{l}
\mathbf{if}\;delta \leq -5.5 \cdot 10^{-92} \lor \neg \left(delta \leq 10^{-140}\right):\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{theta \cdot \sin delta}{\cos delta}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1\\
\end{array}
\]
| Alternative 11 |
|---|
| Accuracy | 80.8% |
|---|
| Cost | 19849 |
|---|
\[\begin{array}{l}
\mathbf{if}\;theta \leq -2.45 \cdot 10^{+23} \lor \neg \left(theta \leq 1.75 \cdot 10^{-6}\right):\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\sin theta \cdot delta}{\cos delta}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{theta \cdot \sin delta}{\cos delta}\\
\end{array}
\]
| Alternative 12 |
|---|
| Accuracy | 70.5% |
|---|
| Cost | 13316 |
|---|
\[\begin{array}{l}
\mathbf{if}\;delta \leq -2.5 \cdot 10^{-91}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{theta \cdot delta}{\cos delta}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1\\
\end{array}
\]
| Alternative 13 |
|---|
| Accuracy | 70.4% |
|---|
| Cost | 64 |
|---|
\[\lambda_1
\]