
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 22 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (sin (/ phi1 2.0)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (cos (/ phi2 2.0))))
(*
(atan2
(sqrt (+ (pow (fma t_2 t_4 (- 0.0 t_0)) 2.0) (* t_1 (* t_3 t_3))))
(sqrt
(+
1.0
(-
(* t_1 (* t_3 (sin (/ (- lambda1 lambda2) -2.0))))
(pow (- (* t_2 t_4) t_0) 2.0)))))
(* 2.0 R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 / 2.0)) * sin((phi2 / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = sin((phi1 / 2.0));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = cos((phi2 / 2.0));
return atan2(sqrt((pow(fma(t_2, t_4, (0.0 - t_0)), 2.0) + (t_1 * (t_3 * t_3)))), sqrt((1.0 + ((t_1 * (t_3 * sin(((lambda1 - lambda2) / -2.0)))) - pow(((t_2 * t_4) - t_0), 2.0))))) * (2.0 * R);
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sin(Float64(phi1 / 2.0)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = cos(Float64(phi2 / 2.0)) return Float64(atan(sqrt(Float64((fma(t_2, t_4, Float64(0.0 - t_0)) ^ 2.0) + Float64(t_1 * Float64(t_3 * t_3)))), sqrt(Float64(1.0 + Float64(Float64(t_1 * Float64(t_3 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - (Float64(Float64(t_2 * t_4) - t_0) ^ 2.0))))) * Float64(2.0 * R)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$2 * t$95$4 + N[(0.0 - t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$3 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$1 * N[(t$95$3 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(t$95$2 * t$95$4), $MachinePrecision] - t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \sin \left(\frac{\phi_1}{2}\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \cos \left(\frac{\phi_2}{2}\right)\\
\tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_2, t\_4, 0 - t\_0\right)\right)}^{2} + t\_1 \cdot \left(t\_3 \cdot t\_3\right)}}{\sqrt{1 + \left(t\_1 \cdot \left(t\_3 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - {\left(t\_2 \cdot t\_4 - t\_0\right)}^{2}\right)}} \cdot \left(2 \cdot R\right)
\end{array}
\end{array}
Initial program 60.9%
Simplified61.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.2%
Applied egg-rr62.2%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6476.5%
Applied egg-rr76.5%
Final simplification76.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (/ phi1 2.0)))
(t_2 (cos (/ phi2 2.0)))
(t_3 (* (cos phi1) (cos phi2)))
(t_4 (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
(if (<= (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_0 (* t_3 t_0))) 0.001)
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (fma t_1 t_2 (- 0.0 t_4)) 2.0) (* t_3 (* t_0 t_0))))
(sqrt
(+
1.0
(-
(*
(cos phi1)
(*
(sin (* (- lambda1 lambda2) 0.5))
(sin (* (- lambda1 lambda2) -0.5))))
(pow (sin (* phi1 0.5)) 2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt
(+
0.5
(+
(/ (* t_3 (+ -1.0 (cos (- lambda1 lambda2)))) -2.0)
(* -0.5 (cos (- phi1 phi2))))))
(sqrt
(+
1.0
(-
(* t_3 (* t_0 (sin (/ (- lambda1 lambda2) -2.0))))
(pow (- (* t_1 t_2) t_4) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sin((phi1 / 2.0));
double t_2 = cos((phi2 / 2.0));
double t_3 = cos(phi1) * cos(phi2);
double t_4 = cos((phi1 / 2.0)) * sin((phi2 / 2.0));
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * (t_3 * t_0))) <= 0.001) {
tmp = (2.0 * R) * atan2(sqrt((pow(fma(t_1, t_2, (0.0 - t_4)), 2.0) + (t_3 * (t_0 * t_0)))), sqrt((1.0 + ((cos(phi1) * (sin(((lambda1 - lambda2) * 0.5)) * sin(((lambda1 - lambda2) * -0.5)))) - pow(sin((phi1 * 0.5)), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt((0.5 + (((t_3 * (-1.0 + cos((lambda1 - lambda2)))) / -2.0) + (-0.5 * cos((phi1 - phi2)))))), sqrt((1.0 + ((t_3 * (t_0 * sin(((lambda1 - lambda2) / -2.0)))) - pow(((t_1 * t_2) - t_4), 2.0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(phi1 / 2.0)) t_2 = cos(Float64(phi2 / 2.0)) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * Float64(t_3 * t_0))) <= 0.001) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((fma(t_1, t_2, Float64(0.0 - t_4)) ^ 2.0) + Float64(t_3 * Float64(t_0 * t_0)))), sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(sin(Float64(Float64(lambda1 - lambda2) * 0.5)) * sin(Float64(Float64(lambda1 - lambda2) * -0.5)))) - (sin(Float64(phi1 * 0.5)) ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(Float64(t_3 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / -2.0) + Float64(-0.5 * cos(Float64(phi1 - phi2)))))), sqrt(Float64(1.0 + Float64(Float64(t_3 * Float64(t_0 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - (Float64(Float64(t_1 * t_2) - t_4) ^ 2.0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$3 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.001], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$1 * t$95$2 + N[(0.0 - t$95$4), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$3 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[(t$95$3 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / -2.0), $MachinePrecision] + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$3 * N[(t$95$0 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(t$95$1 * t$95$2), $MachinePrecision] - t$95$4), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \sin \left(\frac{\phi_1}{2}\right)\\
t_2 := \cos \left(\frac{\phi_2}{2}\right)\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \left(t\_3 \cdot t\_0\right) \leq 0.001:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_1, t\_2, 0 - t\_4\right)\right)}^{2} + t\_3 \cdot \left(t\_0 \cdot t\_0\right)}}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right) - {\sin \left(\phi_1 \cdot 0.5\right)}^{2}\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\frac{t\_3 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{-2} + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)}}{\sqrt{1 + \left(t\_3 \cdot \left(t\_0 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - {\left(t\_1 \cdot t\_2 - t\_4\right)}^{2}\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1e-3Initial program 64.7%
Simplified64.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6464.7%
Applied egg-rr64.7%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6477.5%
Applied egg-rr77.5%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified70.0%
if 1e-3 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.6%
Simplified60.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6461.9%
Applied egg-rr61.9%
div-subN/A
sin-diffN/A
sub-negN/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr76.3%
Applied egg-rr61.9%
Final simplification62.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (sin (* phi1 0.5)) (cos (* phi2 0.5)))
(* (cos (* phi1 0.5)) (sin (* phi2 0.5))))
2.0))
(t_1 (* (cos phi1) (cos phi2)))
(t_2
(sqrt
(+
1.0
(-
(*
t_1
(*
(sin (/ (- lambda1 lambda2) 2.0))
(sin (/ (- lambda1 lambda2) -2.0))))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)))))
(t_3
(*
(* 2.0 R)
(atan2
(sqrt (+ t_0 (* t_1 (pow (sin (* lambda2 -0.5)) 2.0))))
t_2))))
(if (<= lambda2 -8.2e-21)
t_3
(if (<= lambda2 8.4e-7)
(*
(* 2.0 R)
(atan2 (sqrt (+ t_0 (* t_1 (pow (sin (* lambda1 0.5)) 2.0)))) t_2))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))), 2.0);
double t_1 = cos(phi1) * cos(phi2);
double t_2 = sqrt((1.0 + ((t_1 * (sin(((lambda1 - lambda2) / 2.0)) * sin(((lambda1 - lambda2) / -2.0)))) - pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0))));
double t_3 = (2.0 * R) * atan2(sqrt((t_0 + (t_1 * pow(sin((lambda2 * -0.5)), 2.0)))), t_2);
double tmp;
if (lambda2 <= -8.2e-21) {
tmp = t_3;
} else if (lambda2 <= 8.4e-7) {
tmp = (2.0 * R) * atan2(sqrt((t_0 + (t_1 * pow(sin((lambda1 * 0.5)), 2.0)))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = ((sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0))) - (cos((phi1 * 0.5d0)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_1 = cos(phi1) * cos(phi2)
t_2 = sqrt((1.0d0 + ((t_1 * (sin(((lambda1 - lambda2) / 2.0d0)) * sin(((lambda1 - lambda2) / (-2.0d0))))) - (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0))))
t_3 = (2.0d0 * r) * atan2(sqrt((t_0 + (t_1 * (sin((lambda2 * (-0.5d0))) ** 2.0d0)))), t_2)
if (lambda2 <= (-8.2d-21)) then
tmp = t_3
else if (lambda2 <= 8.4d-7) then
tmp = (2.0d0 * r) * atan2(sqrt((t_0 + (t_1 * (sin((lambda1 * 0.5d0)) ** 2.0d0)))), t_2)
else
tmp = t_3
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5))) - (Math.cos((phi1 * 0.5)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = Math.sqrt((1.0 + ((t_1 * (Math.sin(((lambda1 - lambda2) / 2.0)) * Math.sin(((lambda1 - lambda2) / -2.0)))) - Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0))));
double t_3 = (2.0 * R) * Math.atan2(Math.sqrt((t_0 + (t_1 * Math.pow(Math.sin((lambda2 * -0.5)), 2.0)))), t_2);
double tmp;
if (lambda2 <= -8.2e-21) {
tmp = t_3;
} else if (lambda2 <= 8.4e-7) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((t_0 + (t_1 * Math.pow(Math.sin((lambda1 * 0.5)), 2.0)))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5))) - (math.cos((phi1 * 0.5)) * math.sin((phi2 * 0.5)))), 2.0) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = math.sqrt((1.0 + ((t_1 * (math.sin(((lambda1 - lambda2) / 2.0)) * math.sin(((lambda1 - lambda2) / -2.0)))) - math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0)))) t_3 = (2.0 * R) * math.atan2(math.sqrt((t_0 + (t_1 * math.pow(math.sin((lambda2 * -0.5)), 2.0)))), t_2) tmp = 0 if lambda2 <= -8.2e-21: tmp = t_3 elif lambda2 <= 8.4e-7: tmp = (2.0 * R) * math.atan2(math.sqrt((t_0 + (t_1 * math.pow(math.sin((lambda1 * 0.5)), 2.0)))), t_2) else: tmp = t_3 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sqrt(Float64(1.0 + Float64(Float64(t_1 * Float64(sin(Float64(Float64(lambda1 - lambda2) / 2.0)) * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0)))) t_3 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_0 + Float64(t_1 * (sin(Float64(lambda2 * -0.5)) ^ 2.0)))), t_2)) tmp = 0.0 if (lambda2 <= -8.2e-21) tmp = t_3; elseif (lambda2 <= 8.4e-7) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_0 + Float64(t_1 * (sin(Float64(lambda1 * 0.5)) ^ 2.0)))), t_2)); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))) ^ 2.0; t_1 = cos(phi1) * cos(phi2); t_2 = sqrt((1.0 + ((t_1 * (sin(((lambda1 - lambda2) / 2.0)) * sin(((lambda1 - lambda2) / -2.0)))) - (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0)))); t_3 = (2.0 * R) * atan2(sqrt((t_0 + (t_1 * (sin((lambda2 * -0.5)) ^ 2.0)))), t_2); tmp = 0.0; if (lambda2 <= -8.2e-21) tmp = t_3; elseif (lambda2 <= 8.4e-7) tmp = (2.0 * R) * atan2(sqrt((t_0 + (t_1 * (sin((lambda1 * 0.5)) ^ 2.0)))), t_2); else tmp = t_3; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + N[(N[(t$95$1 * N[(N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(t$95$1 * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -8.2e-21], t$95$3, If[LessEqual[lambda2, 8.4e-7], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(t$95$1 * N[Power[N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(\phi_2 \cdot 0.5\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \sqrt{1 + \left(t\_1 \cdot \left(\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\right)}\\
t_3 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_1 \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}}}{t\_2}\\
\mathbf{if}\;\lambda_2 \leq -8.2 \cdot 10^{-21}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_2 \leq 8.4 \cdot 10^{-7}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_1 \cdot {\sin \left(\lambda_1 \cdot 0.5\right)}^{2}}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if lambda2 < -8.19999999999999988e-21 or 8.4e-7 < lambda2 Initial program 45.2%
Simplified45.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6446.9%
Applied egg-rr46.9%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6455.7%
Applied egg-rr55.7%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
mul-1-negN/A
+-commutativeN/A
sub-negN/A
+-lowering-+.f64N/A
Simplified55.8%
if -8.19999999999999988e-21 < lambda2 < 8.4e-7Initial program 76.9%
Simplified76.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6477.8%
Applied egg-rr77.8%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6497.7%
Applied egg-rr97.7%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
mul-1-negN/A
+-commutativeN/A
sub-negN/A
+-lowering-+.f64N/A
Simplified97.1%
Final simplification76.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(pow
(-
(* (sin (* phi1 0.5)) (cos (* phi2 0.5)))
(* (cos (* phi1 0.5)) (sin (* phi2 0.5))))
2.0))
(t_3 (/ (- phi1 phi2) 2.0))
(t_4 (* 0.5 (cos (* 2.0 t_3)))))
(if (<= lambda2 -8.2e-21)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_0 (* t_1 t_1)) (pow (sin t_3) 2.0)))
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* (* (cos phi2) (sin (* lambda2 -0.5))) (sin (* lambda2 0.5))))
t_2)))))
(if (<= lambda2 42.0)
(*
(* 2.0 R)
(atan2
(sqrt (+ t_2 (* t_0 (pow (sin (* lambda1 0.5)) 2.0))))
(sqrt
(+
1.0
(-
(* t_0 (* t_1 (sin (/ (- lambda1 lambda2) -2.0))))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt
(+
(- 0.5 t_4)
(/
(*
t_0
(-
1.0
(+
(* (cos lambda1) (cos lambda2))
(* (sin lambda1) (sin lambda2)))))
2.0)))
(sqrt
(+
(+ 0.5 t_4)
(/ (* t_0 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))), 2.0);
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = 0.5 * cos((2.0 * t_3));
double tmp;
if (lambda2 <= -8.2e-21) {
tmp = (2.0 * R) * atan2(sqrt(((t_0 * (t_1 * t_1)) + pow(sin(t_3), 2.0))), sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((lambda2 * -0.5))) * sin((lambda2 * 0.5)))) - t_2))));
} else if (lambda2 <= 42.0) {
tmp = (2.0 * R) * atan2(sqrt((t_2 + (t_0 * pow(sin((lambda1 * 0.5)), 2.0)))), sqrt((1.0 + ((t_0 * (t_1 * sin(((lambda1 - lambda2) / -2.0)))) - pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((0.5 - t_4) + ((t_0 * (1.0 - ((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2))))) / 2.0))), sqrt(((0.5 + t_4) + ((t_0 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = ((sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0))) - (cos((phi1 * 0.5d0)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_3 = (phi1 - phi2) / 2.0d0
t_4 = 0.5d0 * cos((2.0d0 * t_3))
if (lambda2 <= (-8.2d-21)) then
tmp = (2.0d0 * r) * atan2(sqrt(((t_0 * (t_1 * t_1)) + (sin(t_3) ** 2.0d0))), sqrt((1.0d0 + ((cos(phi1) * ((cos(phi2) * sin((lambda2 * (-0.5d0)))) * sin((lambda2 * 0.5d0)))) - t_2))))
else if (lambda2 <= 42.0d0) then
tmp = (2.0d0 * r) * atan2(sqrt((t_2 + (t_0 * (sin((lambda1 * 0.5d0)) ** 2.0d0)))), sqrt((1.0d0 + ((t_0 * (t_1 * sin(((lambda1 - lambda2) / (-2.0d0))))) - (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0)))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((0.5d0 - t_4) + ((t_0 * (1.0d0 - ((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2))))) / 2.0d0))), sqrt(((0.5d0 + t_4) + ((t_0 * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.pow(((Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5))) - (Math.cos((phi1 * 0.5)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = 0.5 * Math.cos((2.0 * t_3));
double tmp;
if (lambda2 <= -8.2e-21) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_0 * (t_1 * t_1)) + Math.pow(Math.sin(t_3), 2.0))), Math.sqrt((1.0 + ((Math.cos(phi1) * ((Math.cos(phi2) * Math.sin((lambda2 * -0.5))) * Math.sin((lambda2 * 0.5)))) - t_2))));
} else if (lambda2 <= 42.0) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((t_2 + (t_0 * Math.pow(Math.sin((lambda1 * 0.5)), 2.0)))), Math.sqrt((1.0 + ((t_0 * (t_1 * Math.sin(((lambda1 - lambda2) / -2.0)))) - Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0)))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((0.5 - t_4) + ((t_0 * (1.0 - ((Math.cos(lambda1) * Math.cos(lambda2)) + (Math.sin(lambda1) * Math.sin(lambda2))))) / 2.0))), Math.sqrt(((0.5 + t_4) + ((t_0 * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.pow(((math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5))) - (math.cos((phi1 * 0.5)) * math.sin((phi2 * 0.5)))), 2.0) t_3 = (phi1 - phi2) / 2.0 t_4 = 0.5 * math.cos((2.0 * t_3)) tmp = 0 if lambda2 <= -8.2e-21: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_0 * (t_1 * t_1)) + math.pow(math.sin(t_3), 2.0))), math.sqrt((1.0 + ((math.cos(phi1) * ((math.cos(phi2) * math.sin((lambda2 * -0.5))) * math.sin((lambda2 * 0.5)))) - t_2)))) elif lambda2 <= 42.0: tmp = (2.0 * R) * math.atan2(math.sqrt((t_2 + (t_0 * math.pow(math.sin((lambda1 * 0.5)), 2.0)))), math.sqrt((1.0 + ((t_0 * (t_1 * math.sin(((lambda1 - lambda2) / -2.0)))) - math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt(((0.5 - t_4) + ((t_0 * (1.0 - ((math.cos(lambda1) * math.cos(lambda2)) + (math.sin(lambda1) * math.sin(lambda2))))) / 2.0))), math.sqrt(((0.5 + t_4) + ((t_0 * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_3 = Float64(Float64(phi1 - phi2) / 2.0) t_4 = Float64(0.5 * cos(Float64(2.0 * t_3))) tmp = 0.0 if (lambda2 <= -8.2e-21) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_0 * Float64(t_1 * t_1)) + (sin(t_3) ^ 2.0))), sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(Float64(cos(phi2) * sin(Float64(lambda2 * -0.5))) * sin(Float64(lambda2 * 0.5)))) - t_2))))); elseif (lambda2 <= 42.0) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_2 + Float64(t_0 * (sin(Float64(lambda1 * 0.5)) ^ 2.0)))), sqrt(Float64(1.0 + Float64(Float64(t_0 * Float64(t_1 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(0.5 - t_4) + Float64(Float64(t_0 * Float64(1.0 - Float64(Float64(cos(lambda1) * cos(lambda2)) + Float64(sin(lambda1) * sin(lambda2))))) / 2.0))), sqrt(Float64(Float64(0.5 + t_4) + Float64(Float64(t_0 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = ((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))) ^ 2.0; t_3 = (phi1 - phi2) / 2.0; t_4 = 0.5 * cos((2.0 * t_3)); tmp = 0.0; if (lambda2 <= -8.2e-21) tmp = (2.0 * R) * atan2(sqrt(((t_0 * (t_1 * t_1)) + (sin(t_3) ^ 2.0))), sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((lambda2 * -0.5))) * sin((lambda2 * 0.5)))) - t_2)))); elseif (lambda2 <= 42.0) tmp = (2.0 * R) * atan2(sqrt((t_2 + (t_0 * (sin((lambda1 * 0.5)) ^ 2.0)))), sqrt((1.0 + ((t_0 * (t_1 * sin(((lambda1 - lambda2) / -2.0)))) - (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0))))); else tmp = (2.0 * R) * atan2(sqrt(((0.5 - t_4) + ((t_0 * (1.0 - ((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2))))) / 2.0))), sqrt(((0.5 + t_4) + ((t_0 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -8.2e-21], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda2, 42.0], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(t$95$0 * N[Power[N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$0 * N[(t$95$1 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$4), $MachinePrecision] + N[(N[(t$95$0 * N[(1.0 - N[(N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$4), $MachinePrecision] + N[(N[(t$95$0 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(\phi_2 \cdot 0.5\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_3 := \frac{\phi_1 - \phi_2}{2}\\
t_4 := 0.5 \cdot \cos \left(2 \cdot t\_3\right)\\
\mathbf{if}\;\lambda_2 \leq -8.2 \cdot 10^{-21}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(t\_1 \cdot t\_1\right) + {\sin t\_3}^{2}}}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\left(\cos \phi_2 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right) \cdot \sin \left(\lambda_2 \cdot 0.5\right)\right) - t\_2\right)}}\\
\mathbf{elif}\;\lambda_2 \leq 42:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + t\_0 \cdot {\sin \left(\lambda_1 \cdot 0.5\right)}^{2}}}{\sqrt{1 + \left(t\_0 \cdot \left(t\_1 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_4\right) + \frac{t\_0 \cdot \left(1 - \left(\cos \lambda_1 \cdot \cos \lambda_2 + \sin \lambda_1 \cdot \sin \lambda_2\right)\right)}{2}}}{\sqrt{\left(0.5 + t\_4\right) + \frac{t\_0 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}}}\\
\end{array}
\end{array}
if lambda2 < -8.19999999999999988e-21Initial program 42.7%
Simplified42.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6445.2%
Applied egg-rr45.2%
Taylor expanded in lambda1 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified45.2%
if -8.19999999999999988e-21 < lambda2 < 42Initial program 76.3%
Simplified76.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6477.4%
Applied egg-rr77.4%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6497.7%
Applied egg-rr97.7%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
mul-1-negN/A
+-commutativeN/A
sub-negN/A
+-lowering-+.f64N/A
Simplified96.6%
if 42 < lambda2 Initial program 48.0%
Applied egg-rr48.0%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6449.6%
Applied egg-rr49.6%
Final simplification72.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (* (cos phi1) (cos phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_2 (* t_0 t_0)) t_1))
(sqrt
(+ 1.0 (- (* t_2 (* t_0 (sin (/ (- lambda1 lambda2) -2.0)))) t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = cos(phi1) * cos(phi2);
return (2.0 * R) * atan2(sqrt(((t_2 * (t_0 * t_0)) + t_1)), sqrt((1.0 + ((t_2 * (t_0 * sin(((lambda1 - lambda2) / -2.0)))) - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_2 = cos(phi1) * cos(phi2)
code = (2.0d0 * r) * atan2(sqrt(((t_2 * (t_0 * t_0)) + t_1)), sqrt((1.0d0 + ((t_2 * (t_0 * sin(((lambda1 - lambda2) / (-2.0d0))))) - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0);
double t_2 = Math.cos(phi1) * Math.cos(phi2);
return (2.0 * R) * Math.atan2(Math.sqrt(((t_2 * (t_0 * t_0)) + t_1)), Math.sqrt((1.0 + ((t_2 * (t_0 * Math.sin(((lambda1 - lambda2) / -2.0)))) - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) t_2 = math.cos(phi1) * math.cos(phi2) return (2.0 * R) * math.atan2(math.sqrt(((t_2 * (t_0 * t_0)) + t_1)), math.sqrt((1.0 + ((t_2 * (t_0 * math.sin(((lambda1 - lambda2) / -2.0)))) - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_2 * Float64(t_0 * t_0)) + t_1)), sqrt(Float64(1.0 + Float64(Float64(t_2 * Float64(t_0 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_2 = cos(phi1) * cos(phi2); tmp = (2.0 * R) * atan2(sqrt(((t_2 * (t_0 * t_0)) + t_1)), sqrt((1.0 + ((t_2 * (t_0 * sin(((lambda1 - lambda2) / -2.0)))) - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$2 * N[(t$95$0 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_0 \cdot t\_0\right) + t\_1}}{\sqrt{1 + \left(t\_2 \cdot \left(t\_0 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - t\_1\right)}}
\end{array}
\end{array}
Initial program 60.9%
Simplified61.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.2%
Applied egg-rr62.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6476.5%
Applied egg-rr76.5%
Final simplification76.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_1 (* t_0 t_0)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
1.0
(-
(* t_1 (* t_0 (sin (/ (- lambda1 lambda2) -2.0))))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
return (2.0 * R) * atan2(sqrt(((t_1 * (t_0 * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 + ((t_1 * (t_0 * sin(((lambda1 - lambda2) / -2.0)))) - pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = cos(phi1) * cos(phi2)
code = (2.0d0 * r) * atan2(sqrt(((t_1 * (t_0 * t_0)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 + ((t_1 * (t_0 * sin(((lambda1 - lambda2) / (-2.0d0))))) - (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
return (2.0 * R) * Math.atan2(Math.sqrt(((t_1 * (t_0 * t_0)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 + ((t_1 * (t_0 * Math.sin(((lambda1 - lambda2) / -2.0)))) - Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.cos(phi1) * math.cos(phi2) return (2.0 * R) * math.atan2(math.sqrt(((t_1 * (t_0 * t_0)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 + ((t_1 * (t_0 * math.sin(((lambda1 - lambda2) / -2.0)))) - math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 + Float64(Float64(t_1 * Float64(t_0 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = cos(phi1) * cos(phi2); tmp = (2.0 * R) * atan2(sqrt(((t_1 * (t_0 * t_0)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 + ((t_1 * (t_0 * sin(((lambda1 - lambda2) / -2.0)))) - (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$1 * N[(t$95$0 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 + \left(t\_1 \cdot \left(t\_0 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\right)}}
\end{array}
\end{array}
Initial program 60.9%
Simplified61.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.2%
Applied egg-rr62.2%
Final simplification62.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (/ (- phi1 phi2) 2.0))
(t_3 (cos t_2)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (* t_1 t_0))))
(sqrt
(fma t_3 t_3 (/ (* t_1 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
double t_3 = cos(t_2);
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), sqrt(fma(t_3, t_3, ((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) t_3 = cos(t_2) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_0)))), sqrt(fma(t_3, t_3, Float64(Float64(t_1 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[Cos[t$95$2], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 * t$95$3 + N[(N[(t$95$1 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
t_3 := \cos t\_2\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_0\right)}}{\sqrt{\mathsf{fma}\left(t\_3, t\_3, \frac{t\_1 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}\right)}}\right)
\end{array}
\end{array}
Initial program 60.9%
Applied egg-rr61.0%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (/ (- phi1 phi2) 2.0))
(t_2 (* (cos phi1) (cos phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_2 (* t_0 t_0)) (pow (sin t_1) 2.0)))
(sqrt
(+
(+ 1.0 (/ (* t_2 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0))
(- (* 0.5 (cos (* 2.0 t_1))) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
double t_2 = cos(phi1) * cos(phi2);
return (2.0 * R) * atan2(sqrt(((t_2 * (t_0 * t_0)) + pow(sin(t_1), 2.0))), sqrt(((1.0 + ((t_2 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)) + ((0.5 * cos((2.0 * t_1))) - 0.5))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (phi1 - phi2) / 2.0d0
t_2 = cos(phi1) * cos(phi2)
code = (2.0d0 * r) * atan2(sqrt(((t_2 * (t_0 * t_0)) + (sin(t_1) ** 2.0d0))), sqrt(((1.0d0 + ((t_2 * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0)) + ((0.5d0 * cos((2.0d0 * t_1))) - 0.5d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
double t_2 = Math.cos(phi1) * Math.cos(phi2);
return (2.0 * R) * Math.atan2(Math.sqrt(((t_2 * (t_0 * t_0)) + Math.pow(Math.sin(t_1), 2.0))), Math.sqrt(((1.0 + ((t_2 * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0)) + ((0.5 * Math.cos((2.0 * t_1))) - 0.5))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = (phi1 - phi2) / 2.0 t_2 = math.cos(phi1) * math.cos(phi2) return (2.0 * R) * math.atan2(math.sqrt(((t_2 * (t_0 * t_0)) + math.pow(math.sin(t_1), 2.0))), math.sqrt(((1.0 + ((t_2 * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0)) + ((0.5 * math.cos((2.0 * t_1))) - 0.5))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) t_2 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_2 * Float64(t_0 * t_0)) + (sin(t_1) ^ 2.0))), sqrt(Float64(Float64(1.0 + Float64(Float64(t_2 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0)) + Float64(Float64(0.5 * cos(Float64(2.0 * t_1))) - 0.5))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (phi1 - phi2) / 2.0; t_2 = cos(phi1) * cos(phi2); tmp = (2.0 * R) * atan2(sqrt(((t_2 * (t_0 * t_0)) + (sin(t_1) ^ 2.0))), sqrt(((1.0 + ((t_2 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)) + ((0.5 * cos((2.0 * t_1))) - 0.5)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + N[(N[(t$95$2 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_0 \cdot t\_0\right) + {\sin t\_1}^{2}}}{\sqrt{\left(1 + \frac{t\_2 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}\right) + \left(0.5 \cdot \cos \left(2 \cdot t\_1\right) - 0.5\right)}}
\end{array}
\end{array}
Initial program 60.9%
Simplified61.0%
Applied egg-rr61.0%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (* t_1 t_0))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_2))))
(/ (* t_1 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = cos(phi1) * cos(phi2)
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_2)))) + ((t_1 * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_2)))) + ((t_1 * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_2)))) + ((t_1 * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_0)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(Float64(t_1 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = cos(phi1) * cos(phi2); t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_0\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + \frac{t\_1 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 60.9%
Applied egg-rr61.0%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_1 (* t_0 t_0)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
(+ -0.5 (/ (* t_1 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0))
(+ 1.0 (* 0.5 (cos (- phi1 phi2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
return (2.0 * R) * atan2(sqrt(((t_1 * (t_0 * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((-0.5 + ((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)) + (1.0 + (0.5 * cos((phi1 - phi2)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = cos(phi1) * cos(phi2)
code = (2.0d0 * r) * atan2(sqrt(((t_1 * (t_0 * t_0)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((((-0.5d0) + ((t_1 * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0)) + (1.0d0 + (0.5d0 * cos((phi1 - phi2)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
return (2.0 * R) * Math.atan2(Math.sqrt(((t_1 * (t_0 * t_0)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt(((-0.5 + ((t_1 * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0)) + (1.0 + (0.5 * Math.cos((phi1 - phi2)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.cos(phi1) * math.cos(phi2) return (2.0 * R) * math.atan2(math.sqrt(((t_1 * (t_0 * t_0)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt(((-0.5 + ((t_1 * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0)) + (1.0 + (0.5 * math.cos((phi1 - phi2)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(-0.5 + Float64(Float64(t_1 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0)) + Float64(1.0 + Float64(0.5 * cos(Float64(phi1 - phi2)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = cos(phi1) * cos(phi2); tmp = (2.0 * R) * atan2(sqrt(((t_1 * (t_0 * t_0)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((-0.5 + ((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)) + (1.0 + (0.5 * cos((phi1 - phi2))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(-0.5 + N[(N[(t$95$1 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(-0.5 + \frac{t\_1 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}\right) + \left(1 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)}}
\end{array}
\end{array}
Initial program 60.9%
Simplified61.0%
Applied egg-rr61.0%
unpow2N/A
metadata-evalN/A
flip-+N/A
associate--r-N/A
Applied egg-rr61.0%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2)))
(t_1 (cos (- lambda2 lambda1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (- lambda1 lambda2)))
(t_4 (* (cos phi1) (cos phi2)))
(t_5 (/ (- phi1 phi2) 2.0)))
(if (<= (- lambda1 lambda2) -50.0)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (- (* 0.5 (* t_4 (- 1.0 t_1))) (* 0.5 t_0))))
(sqrt (+ 0.5 (* 0.5 (+ t_0 (* t_4 (+ -1.0 t_1))))))))
(if (<= (- lambda1 lambda2) 1e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_4 (* t_2 t_2)) (pow (sin t_5) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))
(*
(* 2.0 R)
(atan2
(sqrt (fma t_4 (- 0.5 (/ t_3 2.0)) (+ 0.5 (* -0.5 t_0))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_5))))
(/ (* t_4 (+ -1.0 t_3)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = cos((lambda2 - lambda1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((lambda1 - lambda2));
double t_4 = cos(phi1) * cos(phi2);
double t_5 = (phi1 - phi2) / 2.0;
double tmp;
if ((lambda1 - lambda2) <= -50.0) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((0.5 * (t_4 * (1.0 - t_1))) - (0.5 * t_0)))), sqrt((0.5 + (0.5 * (t_0 + (t_4 * (-1.0 + t_1)))))));
} else if ((lambda1 - lambda2) <= 1e-20) {
tmp = (2.0 * R) * atan2(sqrt(((t_4 * (t_2 * t_2)) + pow(sin(t_5), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0))));
} else {
tmp = (2.0 * R) * atan2(sqrt(fma(t_4, (0.5 - (t_3 / 2.0)), (0.5 + (-0.5 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_5)))) + ((t_4 * (-1.0 + t_3)) / 2.0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = cos(Float64(lambda2 - lambda1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(lambda1 - lambda2)) t_4 = Float64(cos(phi1) * cos(phi2)) t_5 = Float64(Float64(phi1 - phi2) / 2.0) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -50.0) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(0.5 * Float64(t_4 * Float64(1.0 - t_1))) - Float64(0.5 * t_0)))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_0 + Float64(t_4 * Float64(-1.0 + t_1)))))))); elseif (Float64(lambda1 - lambda2) <= 1e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_4 * Float64(t_2 * t_2)) + (sin(t_5) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(t_4, Float64(0.5 - Float64(t_3 / 2.0)), Float64(0.5 + Float64(-0.5 * t_0)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_5)))) + Float64(Float64(t_4 * Float64(-1.0 + t_3)) / 2.0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -50.0], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(0.5 * N[(t$95$4 * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$0 + N[(t$95$4 * N[(-1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$4 * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$5], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$4 * N[(0.5 - N[(t$95$3 / 2.0), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 * N[(-1.0 + t$95$3), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_4 := \cos \phi_1 \cdot \cos \phi_2\\
t_5 := \frac{\phi_1 - \phi_2}{2}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -50:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(0.5 \cdot \left(t\_4 \cdot \left(1 - t\_1\right)\right) - 0.5 \cdot t\_0\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_0 + t\_4 \cdot \left(-1 + t\_1\right)\right)}}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_4 \cdot \left(t\_2 \cdot t\_2\right) + {\sin t\_5}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, 0.5 - \frac{t\_3}{2}, 0.5 + -0.5 \cdot t\_0\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_5\right)\right) + \frac{t\_4 \cdot \left(-1 + t\_3\right)}{2}}}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -50Initial program 56.8%
Applied egg-rr56.8%
Taylor expanded in lambda1 around -inf
Simplified56.9%
if -50 < (-.f64 lambda1 lambda2) < 9.99999999999999945e-21Initial program 73.3%
Simplified73.3%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6473.3%
Simplified73.3%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6473.7%
Simplified73.7%
if 9.99999999999999945e-21 < (-.f64 lambda1 lambda2) Initial program 56.4%
Applied egg-rr56.3%
+-commutativeN/A
associate-/l*N/A
fma-defineN/A
sqr-sin-aN/A
unpow2N/A
fma-lowering-fma.f64N/A
Applied egg-rr56.4%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (/ (* t_0 (- 1.0 t_1)) 2.0)))
(sqrt
(+ (+ 0.5 (* 0.5 (cos (* 2.0 t_2)))) (/ (* t_0 (+ -1.0 t_1)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = (phi1 - phi2) / 2.0;
return (2.0 * R) * atan2(sqrt((pow(sin(t_2), 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_0 * (-1.0 + t_1)) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = (phi1 - phi2) / 2.0d0
code = (2.0d0 * r) * atan2(sqrt(((sin(t_2) ** 2.0d0) + ((t_0 * (1.0d0 - t_1)) / 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_2)))) + ((t_0 * ((-1.0d0) + t_1)) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = (phi1 - phi2) / 2.0;
return (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_2)))) + ((t_0 * (-1.0 + t_1)) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = (phi1 - phi2) / 2.0 return (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_2)))) + ((t_0 * (-1.0 + t_1)) / 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(Float64(t_0 * Float64(1.0 - t_1)) / 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(Float64(t_0 * Float64(-1.0 + t_1)) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = (phi1 - phi2) / 2.0; tmp = (2.0 * R) * atan2(sqrt(((sin(t_2) ^ 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_0 * (-1.0 + t_1)) / 2.0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$0 * N[(-1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + \frac{t\_0 \cdot \left(1 - t\_1\right)}{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + \frac{t\_0 \cdot \left(-1 + t\_1\right)}{2}}}
\end{array}
\end{array}
Initial program 60.9%
Applied egg-rr57.4%
sqr-sin-aN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6458.8%
Applied egg-rr58.8%
Final simplification58.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (cos phi1) (cos phi2)))
(t_3 (* t_2 (+ -1.0 (cos (- lambda1 lambda2)))))
(t_4 (cos (- lambda2 lambda1))))
(if (<= (- lambda1 lambda2) -50.0)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (- (* 0.5 (* t_2 (- 1.0 t_4))) (* 0.5 t_0))))
(sqrt (+ 0.5 (* 0.5 (+ t_0 (* t_2 (+ -1.0 t_4))))))))
(if (<= (- lambda1 lambda2) 1e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_2 (* t_1 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (/ t_3 -2.0) (+ 0.5 (* -0.5 t_0))))
(sqrt (+ 0.5 (* 0.5 (+ t_3 t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos(phi1) * cos(phi2);
double t_3 = t_2 * (-1.0 + cos((lambda1 - lambda2)));
double t_4 = cos((lambda2 - lambda1));
double tmp;
if ((lambda1 - lambda2) <= -50.0) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_4))) - (0.5 * t_0)))), sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_4)))))));
} else if ((lambda1 - lambda2) <= 1e-20) {
tmp = (2.0 * R) * atan2(sqrt(((t_2 * (t_1 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((t_3 / -2.0) + (0.5 + (-0.5 * t_0)))), sqrt((0.5 + (0.5 * (t_3 + t_0)))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = cos((phi1 - phi2))
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos(phi1) * cos(phi2)
t_3 = t_2 * ((-1.0d0) + cos((lambda1 - lambda2)))
t_4 = cos((lambda2 - lambda1))
if ((lambda1 - lambda2) <= (-50.0d0)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((0.5d0 * (t_2 * (1.0d0 - t_4))) - (0.5d0 * t_0)))), sqrt((0.5d0 + (0.5d0 * (t_0 + (t_2 * ((-1.0d0) + t_4)))))))
else if ((lambda1 - lambda2) <= 1d-20) then
tmp = (2.0d0 * r) * atan2(sqrt(((t_2 * (t_1 * t_1)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((t_3 / (-2.0d0)) + (0.5d0 + ((-0.5d0) * t_0)))), sqrt((0.5d0 + (0.5d0 * (t_3 + t_0)))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((phi1 - phi2));
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.cos(phi1) * Math.cos(phi2);
double t_3 = t_2 * (-1.0 + Math.cos((lambda1 - lambda2)));
double t_4 = Math.cos((lambda2 - lambda1));
double tmp;
if ((lambda1 - lambda2) <= -50.0) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_4))) - (0.5 * t_0)))), Math.sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_4)))))));
} else if ((lambda1 - lambda2) <= 1e-20) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_2 * (t_1 * t_1)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_3 / -2.0) + (0.5 + (-0.5 * t_0)))), Math.sqrt((0.5 + (0.5 * (t_3 + t_0)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((phi1 - phi2)) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.cos(phi1) * math.cos(phi2) t_3 = t_2 * (-1.0 + math.cos((lambda1 - lambda2))) t_4 = math.cos((lambda2 - lambda1)) tmp = 0 if (lambda1 - lambda2) <= -50.0: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_4))) - (0.5 * t_0)))), math.sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_4))))))) elif (lambda1 - lambda2) <= 1e-20: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_2 * (t_1 * t_1)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)))) else: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_3 / -2.0) + (0.5 + (-0.5 * t_0)))), math.sqrt((0.5 + (0.5 * (t_3 + t_0))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = Float64(t_2 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) t_4 = cos(Float64(lambda2 - lambda1)) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -50.0) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(0.5 * Float64(t_2 * Float64(1.0 - t_4))) - Float64(0.5 * t_0)))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_0 + Float64(t_2 * Float64(-1.0 + t_4)))))))); elseif (Float64(lambda1 - lambda2) <= 1e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_2 * Float64(t_1 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_3 / -2.0) + Float64(0.5 + Float64(-0.5 * t_0)))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_3 + t_0)))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((phi1 - phi2)); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = cos(phi1) * cos(phi2); t_3 = t_2 * (-1.0 + cos((lambda1 - lambda2))); t_4 = cos((lambda2 - lambda1)); tmp = 0.0; if ((lambda1 - lambda2) <= -50.0) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_4))) - (0.5 * t_0)))), sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_4))))))); elseif ((lambda1 - lambda2) <= 1e-20) tmp = (2.0 * R) * atan2(sqrt(((t_2 * (t_1 * t_1)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0)))); else tmp = (2.0 * R) * atan2(sqrt(((t_3 / -2.0) + (0.5 + (-0.5 * t_0)))), sqrt((0.5 + (0.5 * (t_3 + t_0))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -50.0], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(0.5 * N[(t$95$2 * N[(1.0 - t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$0 + N[(t$95$2 * N[(-1.0 + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$3 / -2.0), $MachinePrecision] + N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$3 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
t_3 := t\_2 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_4 := \cos \left(\lambda_2 - \lambda_1\right)\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -50:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(0.5 \cdot \left(t\_2 \cdot \left(1 - t\_4\right)\right) - 0.5 \cdot t\_0\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_0 + t\_2 \cdot \left(-1 + t\_4\right)\right)}}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_1 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\frac{t\_3}{-2} + \left(0.5 + -0.5 \cdot t\_0\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_3 + t\_0\right)}}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -50Initial program 56.8%
Applied egg-rr56.8%
Taylor expanded in lambda1 around -inf
Simplified56.9%
if -50 < (-.f64 lambda1 lambda2) < 9.99999999999999945e-21Initial program 73.3%
Simplified73.3%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6473.3%
Simplified73.3%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6473.7%
Simplified73.7%
if 9.99999999999999945e-21 < (-.f64 lambda1 lambda2) Initial program 56.4%
Applied egg-rr56.3%
flip--N/A
frac-2negN/A
metadata-evalN/A
*-rgt-identityN/A
*-rgt-identityN/A
1-sub-cosN/A
sub-1-cosN/A
*-rgt-identityN/A
*-rgt-identityN/A
metadata-evalN/A
+-commutativeN/A
metadata-evalN/A
sub-negN/A
Applied egg-rr56.2%
+-commutativeN/A
associate-/l*N/A
fma-defineN/A
sqr-sin-aN/A
unpow2N/A
fma-lowering-fma.f64N/A
Applied egg-rr56.4%
Applied egg-rr56.3%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (cos phi1) (cos phi2)))
(t_3 (cos (- lambda2 lambda1)))
(t_4
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (- (* 0.5 (* t_2 (- 1.0 t_3))) (* 0.5 t_0))))
(sqrt (+ 0.5 (* 0.5 (+ t_0 (* t_2 (+ -1.0 t_3))))))))))
(if (<= (- lambda1 lambda2) -50.0)
t_4
(if (<= (- lambda1 lambda2) 1e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_2 (* t_1 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos(phi1) * cos(phi2);
double t_3 = cos((lambda2 - lambda1));
double t_4 = (2.0 * R) * atan2(sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_3))) - (0.5 * t_0)))), sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_3)))))));
double tmp;
if ((lambda1 - lambda2) <= -50.0) {
tmp = t_4;
} else if ((lambda1 - lambda2) <= 1e-20) {
tmp = (2.0 * R) * atan2(sqrt(((t_2 * (t_1 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0))));
} else {
tmp = t_4;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = cos((phi1 - phi2))
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos(phi1) * cos(phi2)
t_3 = cos((lambda2 - lambda1))
t_4 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((0.5d0 * (t_2 * (1.0d0 - t_3))) - (0.5d0 * t_0)))), sqrt((0.5d0 + (0.5d0 * (t_0 + (t_2 * ((-1.0d0) + t_3)))))))
if ((lambda1 - lambda2) <= (-50.0d0)) then
tmp = t_4
else if ((lambda1 - lambda2) <= 1d-20) then
tmp = (2.0d0 * r) * atan2(sqrt(((t_2 * (t_1 * t_1)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))))
else
tmp = t_4
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((phi1 - phi2));
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.cos(phi1) * Math.cos(phi2);
double t_3 = Math.cos((lambda2 - lambda1));
double t_4 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_3))) - (0.5 * t_0)))), Math.sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_3)))))));
double tmp;
if ((lambda1 - lambda2) <= -50.0) {
tmp = t_4;
} else if ((lambda1 - lambda2) <= 1e-20) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_2 * (t_1 * t_1)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))));
} else {
tmp = t_4;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((phi1 - phi2)) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.cos(phi1) * math.cos(phi2) t_3 = math.cos((lambda2 - lambda1)) t_4 = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_3))) - (0.5 * t_0)))), math.sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_3))))))) tmp = 0 if (lambda1 - lambda2) <= -50.0: tmp = t_4 elif (lambda1 - lambda2) <= 1e-20: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_2 * (t_1 * t_1)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)))) else: tmp = t_4 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = cos(Float64(lambda2 - lambda1)) t_4 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(0.5 * Float64(t_2 * Float64(1.0 - t_3))) - Float64(0.5 * t_0)))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_0 + Float64(t_2 * Float64(-1.0 + t_3)))))))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -50.0) tmp = t_4; elseif (Float64(lambda1 - lambda2) <= 1e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_2 * Float64(t_1 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))))); else tmp = t_4; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((phi1 - phi2)); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = cos(phi1) * cos(phi2); t_3 = cos((lambda2 - lambda1)); t_4 = (2.0 * R) * atan2(sqrt((0.5 + ((0.5 * (t_2 * (1.0 - t_3))) - (0.5 * t_0)))), sqrt((0.5 + (0.5 * (t_0 + (t_2 * (-1.0 + t_3))))))); tmp = 0.0; if ((lambda1 - lambda2) <= -50.0) tmp = t_4; elseif ((lambda1 - lambda2) <= 1e-20) tmp = (2.0 * R) * atan2(sqrt(((t_2 * (t_1 * t_1)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0)))); else tmp = t_4; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(0.5 * N[(t$95$2 * N[(1.0 - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$0 + N[(t$95$2 * N[(-1.0 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -50.0], t$95$4, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
t_3 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_4 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(0.5 \cdot \left(t\_2 \cdot \left(1 - t\_3\right)\right) - 0.5 \cdot t\_0\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_0 + t\_2 \cdot \left(-1 + t\_3\right)\right)}}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -50:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_1 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -50 or 9.99999999999999945e-21 < (-.f64 lambda1 lambda2) Initial program 56.6%
Applied egg-rr56.6%
Taylor expanded in lambda1 around -inf
Simplified56.6%
if -50 < (-.f64 lambda1 lambda2) < 9.99999999999999945e-21Initial program 73.3%
Simplified73.3%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6473.3%
Simplified73.3%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6473.7%
Simplified73.7%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 1.0 t_0))
(t_2
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0))))
(t_3 (* (cos phi2) 0.5))
(t_4 (* (* 2.0 R) (atan2 (sqrt (+ 0.5 (- (* t_3 t_1) t_3))) t_2)))
(t_5 (* (cos phi1) 0.5)))
(if (<= phi2 -2550.0)
t_4
(if (<= phi2 5e-7)
(* (* 2.0 R) (atan2 (sqrt (+ 0.5 (- (* t_1 t_5) t_5))) t_2))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 1.0 - t_0;
double t_2 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_3 = cos(phi2) * 0.5;
double t_4 = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * t_1) - t_3))), t_2);
double t_5 = cos(phi1) * 0.5;
double tmp;
if (phi2 <= -2550.0) {
tmp = t_4;
} else if (phi2 <= 5e-7) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * t_5) - t_5))), t_2);
} else {
tmp = t_4;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = 1.0d0 - t_0
t_2 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0)))
t_3 = cos(phi2) * 0.5d0
t_4 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_3 * t_1) - t_3))), t_2)
t_5 = cos(phi1) * 0.5d0
if (phi2 <= (-2550.0d0)) then
tmp = t_4
else if (phi2 <= 5d-7) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_1 * t_5) - t_5))), t_2)
else
tmp = t_4
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = 1.0 - t_0;
double t_2 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_3 = Math.cos(phi2) * 0.5;
double t_4 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_3 * t_1) - t_3))), t_2);
double t_5 = Math.cos(phi1) * 0.5;
double tmp;
if (phi2 <= -2550.0) {
tmp = t_4;
} else if (phi2 <= 5e-7) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_1 * t_5) - t_5))), t_2);
} else {
tmp = t_4;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 1.0 - t_0 t_2 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0))) t_3 = math.cos(phi2) * 0.5 t_4 = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_3 * t_1) - t_3))), t_2) t_5 = math.cos(phi1) * 0.5 tmp = 0 if phi2 <= -2550.0: tmp = t_4 elif phi2 <= 5e-7: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_1 * t_5) - t_5))), t_2) else: tmp = t_4 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(1.0 - t_0) t_2 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0))) t_3 = Float64(cos(phi2) * 0.5) t_4 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_3 * t_1) - t_3))), t_2)) t_5 = Float64(cos(phi1) * 0.5) tmp = 0.0 if (phi2 <= -2550.0) tmp = t_4; elseif (phi2 <= 5e-7) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_1 * t_5) - t_5))), t_2)); else tmp = t_4; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = 1.0 - t_0; t_2 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0))); t_3 = cos(phi2) * 0.5; t_4 = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * t_1) - t_3))), t_2); t_5 = cos(phi1) * 0.5; tmp = 0.0; if (phi2 <= -2550.0) tmp = t_4; elseif (phi2 <= 5e-7) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * t_5) - t_5))), t_2); else tmp = t_4; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$4 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$3 * t$95$1), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]}, If[LessEqual[phi2, -2550.0], t$95$4, If[LessEqual[phi2, 5e-7], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$1 * t$95$5), $MachinePrecision] - t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 1 - t\_0\\
t_2 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2}}\\
t_3 := \cos \phi_2 \cdot 0.5\\
t_4 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_3 \cdot t\_1 - t\_3\right)}}{t\_2}\\
t_5 := \cos \phi_1 \cdot 0.5\\
\mathbf{if}\;\phi_2 \leq -2550:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_2 \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_1 \cdot t\_5 - t\_5\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi2 < -2550 or 4.99999999999999977e-7 < phi2 Initial program 47.0%
Applied egg-rr46.9%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6447.9%
Simplified47.9%
if -2550 < phi2 < 4.99999999999999977e-7Initial program 72.9%
Applied egg-rr66.4%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6466.5%
Simplified66.5%
Final simplification57.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (* (cos phi1) 0.5)))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (- (* (- 1.0 t_0) t_1) t_1)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi1) * 0.5;
return (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = cos((lambda1 - lambda2))
t_1 = cos(phi1) * 0.5d0
code = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((1.0d0 - t_0) * t_1) - t_1))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = Math.cos(phi1) * 0.5;
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.cos(phi1) * 0.5 return (2.0 * R) * math.atan2(math.sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi1) * 0.5) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(Float64(1.0 - t_0) * t_1) - t_1))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = cos(phi1) * 0.5; tmp = (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[(1.0 - t$95$0), $MachinePrecision] * t$95$1), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_1 \cdot 0.5\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\left(1 - t\_0\right) \cdot t\_1 - t\_1\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2}}}
\end{array}
\end{array}
Initial program 60.9%
Applied egg-rr57.4%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6444.1%
Simplified44.1%
Final simplification44.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sin (/ (- phi1 phi2) 2.0))
(sqrt
(+
1.0
(-
(/
(*
(* (cos phi1) (cos phi2))
(+
(* (sin lambda1) (sin lambda2))
(+ (* (cos lambda1) (cos lambda2)) -1.0)))
2.0)
(+ 0.5 (* -0.5 (cos (- phi1 phi2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt((1.0 + ((((cos(phi1) * cos(phi2)) * ((sin(lambda1) * sin(lambda2)) + ((cos(lambda1) * cos(lambda2)) + -1.0))) / 2.0) - (0.5 + (-0.5 * cos((phi1 - phi2))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sin(((phi1 - phi2) / 2.0d0)), sqrt((1.0d0 + ((((cos(phi1) * cos(phi2)) * ((sin(lambda1) * sin(lambda2)) + ((cos(lambda1) * cos(lambda2)) + (-1.0d0)))) / 2.0d0) - (0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sin(((phi1 - phi2) / 2.0)), Math.sqrt((1.0 + ((((Math.cos(phi1) * Math.cos(phi2)) * ((Math.sin(lambda1) * Math.sin(lambda2)) + ((Math.cos(lambda1) * Math.cos(lambda2)) + -1.0))) / 2.0) - (0.5 + (-0.5 * Math.cos((phi1 - phi2))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sin(((phi1 - phi2) / 2.0)), math.sqrt((1.0 + ((((math.cos(phi1) * math.cos(phi2)) * ((math.sin(lambda1) * math.sin(lambda2)) + ((math.cos(lambda1) * math.cos(lambda2)) + -1.0))) / 2.0) - (0.5 + (-0.5 * math.cos((phi1 - phi2))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sin(Float64(Float64(phi1 - phi2) / 2.0)), sqrt(Float64(1.0 + Float64(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(Float64(cos(lambda1) * cos(lambda2)) + -1.0))) / 2.0) - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt((1.0 + ((((cos(phi1) * cos(phi2)) * ((sin(lambda1) * sin(lambda2)) + ((cos(lambda1) * cos(lambda2)) + -1.0))) / 2.0) - (0.5 + (-0.5 * cos((phi1 - phi2)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}{\sqrt{1 + \left(\frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(\sin \lambda_1 \cdot \sin \lambda_2 + \left(\cos \lambda_1 \cdot \cos \lambda_2 + -1\right)\right)}{2} - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)\right)}}
\end{array}
Initial program 60.9%
Simplified61.0%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
Simplified44.5%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Applied egg-rr16.5%
cos-0N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
cos-diffN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6416.5%
Applied egg-rr16.5%
Final simplification16.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt
(+
1.0
(-
(*
(* (cos phi1) (cos phi2))
(* (sin (/ (- lambda1 lambda2) 2.0)) (sin (* lambda2 0.5))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sin((0.5 * (phi1 - phi2))), sqrt((1.0 + (((cos(phi1) * cos(phi2)) * (sin(((lambda1 - lambda2) / 2.0)) * sin((lambda2 * 0.5)))) - pow(sin(((phi1 - phi2) / 2.0)), 2.0)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sin((0.5d0 * (phi1 - phi2))), sqrt((1.0d0 + (((cos(phi1) * cos(phi2)) * (sin(((lambda1 - lambda2) / 2.0d0)) * sin((lambda2 * 0.5d0)))) - (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sin((0.5 * (phi1 - phi2))), Math.sqrt((1.0 + (((Math.cos(phi1) * Math.cos(phi2)) * (Math.sin(((lambda1 - lambda2) / 2.0)) * Math.sin((lambda2 * 0.5)))) - Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sin((0.5 * (phi1 - phi2))), math.sqrt((1.0 + (((math.cos(phi1) * math.cos(phi2)) * (math.sin(((lambda1 - lambda2) / 2.0)) * math.sin((lambda2 * 0.5)))) - math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0)))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(1.0 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(sin(Float64(Float64(lambda1 - lambda2) / 2.0)) * sin(Float64(lambda2 * 0.5)))) - (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sin((0.5 * (phi1 - phi2))), sqrt((1.0 + (((cos(phi1) * cos(phi2)) * (sin(((lambda1 - lambda2) / 2.0)) * sin((lambda2 * 0.5)))) - (sin(((phi1 - phi2) / 2.0)) ^ 2.0))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right) \cdot \sin \left(\lambda_2 \cdot 0.5\right)\right) - {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\right)}}
\end{array}
Initial program 60.9%
Simplified61.0%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
Simplified44.5%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6416.5%
Simplified16.5%
Final simplification16.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sin (/ (- phi1 phi2) 2.0))
(sqrt
(+
(+
-0.5
(* (+ -1.0 (cos (- lambda1 lambda2))) (* (cos phi1) (/ (cos phi2) 2.0))))
(- 1.0 (* -0.5 (cos (- phi1 phi2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt(((-0.5 + ((-1.0 + cos((lambda1 - lambda2))) * (cos(phi1) * (cos(phi2) / 2.0)))) + (1.0 - (-0.5 * cos((phi1 - phi2)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sin(((phi1 - phi2) / 2.0d0)), sqrt((((-0.5d0) + (((-1.0d0) + cos((lambda1 - lambda2))) * (cos(phi1) * (cos(phi2) / 2.0d0)))) + (1.0d0 - ((-0.5d0) * cos((phi1 - phi2)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sin(((phi1 - phi2) / 2.0)), Math.sqrt(((-0.5 + ((-1.0 + Math.cos((lambda1 - lambda2))) * (Math.cos(phi1) * (Math.cos(phi2) / 2.0)))) + (1.0 - (-0.5 * Math.cos((phi1 - phi2)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sin(((phi1 - phi2) / 2.0)), math.sqrt(((-0.5 + ((-1.0 + math.cos((lambda1 - lambda2))) * (math.cos(phi1) * (math.cos(phi2) / 2.0)))) + (1.0 - (-0.5 * math.cos((phi1 - phi2)))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sin(Float64(Float64(phi1 - phi2) / 2.0)), sqrt(Float64(Float64(-0.5 + Float64(Float64(-1.0 + cos(Float64(lambda1 - lambda2))) * Float64(cos(phi1) * Float64(cos(phi2) / 2.0)))) + Float64(1.0 - Float64(-0.5 * cos(Float64(phi1 - phi2)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt(((-0.5 + ((-1.0 + cos((lambda1 - lambda2))) * (cos(phi1) * (cos(phi2) / 2.0)))) + (1.0 - (-0.5 * cos((phi1 - phi2))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(-0.5 + N[(N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}{\sqrt{\left(-0.5 + \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right) \cdot \left(\cos \phi_1 \cdot \frac{\cos \phi_2}{2}\right)\right) + \left(1 - -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)}}
\end{array}
Initial program 60.9%
Simplified61.0%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
Simplified44.5%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Applied egg-rr16.5%
Applied egg-rr16.5%
Final simplification16.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sin (/ (- phi1 phi2) 2.0))
(sqrt
(+
0.5
(+
(* 0.5 (cos (- phi1 phi2)))
(* 0.5 (* (cos phi1) (* (cos phi2) (+ (cos lambda2) -1.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt((0.5 + ((0.5 * cos((phi1 - phi2))) + (0.5 * (cos(phi1) * (cos(phi2) * (cos(lambda2) + -1.0))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sin(((phi1 - phi2) / 2.0d0)), sqrt((0.5d0 + ((0.5d0 * cos((phi1 - phi2))) + (0.5d0 * (cos(phi1) * (cos(phi2) * (cos(lambda2) + (-1.0d0)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sin(((phi1 - phi2) / 2.0)), Math.sqrt((0.5 + ((0.5 * Math.cos((phi1 - phi2))) + (0.5 * (Math.cos(phi1) * (Math.cos(phi2) * (Math.cos(lambda2) + -1.0))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sin(((phi1 - phi2) / 2.0)), math.sqrt((0.5 + ((0.5 * math.cos((phi1 - phi2))) + (0.5 * (math.cos(phi1) * (math.cos(phi2) * (math.cos(lambda2) + -1.0))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sin(Float64(Float64(phi1 - phi2) / 2.0)), sqrt(Float64(0.5 + Float64(Float64(0.5 * cos(Float64(phi1 - phi2))) + Float64(0.5 * Float64(cos(phi1) * Float64(cos(phi2) * Float64(cos(lambda2) + -1.0))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt((0.5 + ((0.5 * cos((phi1 - phi2))) + (0.5 * (cos(phi1) * (cos(phi2) * (cos(lambda2) + -1.0)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[lambda2], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}{\sqrt{0.5 + \left(0.5 \cdot \cos \left(\phi_1 - \phi_2\right) + 0.5 \cdot \left(\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(\cos \lambda_2 + -1\right)\right)\right)\right)}}
\end{array}
Initial program 60.9%
Simplified61.0%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
Simplified44.5%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Applied egg-rr16.5%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
Simplified16.5%
Final simplification16.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) 0.5))
(t_1 (+ -1.0 (cos (- lambda1 lambda2))))
(t_2 (sin (/ (- phi1 phi2) 2.0))))
(if (<= phi1 -5.8e+36)
(*
(* 2.0 R)
(atan2
t_2
(sqrt (+ 0.5 (+ (* (cos phi1) 0.5) (* 0.5 (* (cos phi1) t_1)))))))
(* (* 2.0 R) (atan2 t_2 (sqrt (+ 0.5 (+ t_0 (* t_1 t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * 0.5;
double t_1 = -1.0 + cos((lambda1 - lambda2));
double t_2 = sin(((phi1 - phi2) / 2.0));
double tmp;
if (phi1 <= -5.8e+36) {
tmp = (2.0 * R) * atan2(t_2, sqrt((0.5 + ((cos(phi1) * 0.5) + (0.5 * (cos(phi1) * t_1))))));
} else {
tmp = (2.0 * R) * atan2(t_2, sqrt((0.5 + (t_0 + (t_1 * t_0)))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = cos(phi2) * 0.5d0
t_1 = (-1.0d0) + cos((lambda1 - lambda2))
t_2 = sin(((phi1 - phi2) / 2.0d0))
if (phi1 <= (-5.8d+36)) then
tmp = (2.0d0 * r) * atan2(t_2, sqrt((0.5d0 + ((cos(phi1) * 0.5d0) + (0.5d0 * (cos(phi1) * t_1))))))
else
tmp = (2.0d0 * r) * atan2(t_2, sqrt((0.5d0 + (t_0 + (t_1 * t_0)))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi2) * 0.5;
double t_1 = -1.0 + Math.cos((lambda1 - lambda2));
double t_2 = Math.sin(((phi1 - phi2) / 2.0));
double tmp;
if (phi1 <= -5.8e+36) {
tmp = (2.0 * R) * Math.atan2(t_2, Math.sqrt((0.5 + ((Math.cos(phi1) * 0.5) + (0.5 * (Math.cos(phi1) * t_1))))));
} else {
tmp = (2.0 * R) * Math.atan2(t_2, Math.sqrt((0.5 + (t_0 + (t_1 * t_0)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * 0.5 t_1 = -1.0 + math.cos((lambda1 - lambda2)) t_2 = math.sin(((phi1 - phi2) / 2.0)) tmp = 0 if phi1 <= -5.8e+36: tmp = (2.0 * R) * math.atan2(t_2, math.sqrt((0.5 + ((math.cos(phi1) * 0.5) + (0.5 * (math.cos(phi1) * t_1)))))) else: tmp = (2.0 * R) * math.atan2(t_2, math.sqrt((0.5 + (t_0 + (t_1 * t_0))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * 0.5) t_1 = Float64(-1.0 + cos(Float64(lambda1 - lambda2))) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) tmp = 0.0 if (phi1 <= -5.8e+36) tmp = Float64(Float64(2.0 * R) * atan(t_2, sqrt(Float64(0.5 + Float64(Float64(cos(phi1) * 0.5) + Float64(0.5 * Float64(cos(phi1) * t_1))))))); else tmp = Float64(Float64(2.0 * R) * atan(t_2, sqrt(Float64(0.5 + Float64(t_0 + Float64(t_1 * t_0)))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * 0.5; t_1 = -1.0 + cos((lambda1 - lambda2)); t_2 = sin(((phi1 - phi2) / 2.0)); tmp = 0.0; if (phi1 <= -5.8e+36) tmp = (2.0 * R) * atan2(t_2, sqrt((0.5 + ((cos(phi1) * 0.5) + (0.5 * (cos(phi1) * t_1)))))); else tmp = (2.0 * R) * atan2(t_2, sqrt((0.5 + (t_0 + (t_1 * t_0))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -5.8e+36], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(0.5 + N[(N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision] + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(0.5 + N[(t$95$0 + N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot 0.5\\
t_1 := -1 + \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
\mathbf{if}\;\phi_1 \leq -5.8 \cdot 10^{+36}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{0.5 + \left(\cos \phi_1 \cdot 0.5 + 0.5 \cdot \left(\cos \phi_1 \cdot t\_1\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{0.5 + \left(t\_0 + t\_1 \cdot t\_0\right)}}\\
\end{array}
\end{array}
if phi1 < -5.8e36Initial program 54.4%
Simplified54.4%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
Simplified48.2%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6420.5%
Simplified20.5%
Applied egg-rr20.6%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
Simplified21.0%
if -5.8e36 < phi1 Initial program 63.2%
Simplified63.2%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
Simplified43.2%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.2%
Simplified15.2%
Applied egg-rr15.1%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified14.9%
Final simplification16.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sin (/ (- phi1 phi2) 2.0))
(sqrt
(+
0.5
(+
(* (cos phi1) 0.5)
(* 0.5 (* (cos phi1) (+ -1.0 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt((0.5 + ((cos(phi1) * 0.5) + (0.5 * (cos(phi1) * (-1.0 + cos((lambda1 - lambda2)))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sin(((phi1 - phi2) / 2.0d0)), sqrt((0.5d0 + ((cos(phi1) * 0.5d0) + (0.5d0 * (cos(phi1) * ((-1.0d0) + cos((lambda1 - lambda2)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sin(((phi1 - phi2) / 2.0)), Math.sqrt((0.5 + ((Math.cos(phi1) * 0.5) + (0.5 * (Math.cos(phi1) * (-1.0 + Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sin(((phi1 - phi2) / 2.0)), math.sqrt((0.5 + ((math.cos(phi1) * 0.5) + (0.5 * (math.cos(phi1) * (-1.0 + math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sin(Float64(Float64(phi1 - phi2) / 2.0)), sqrt(Float64(0.5 + Float64(Float64(cos(phi1) * 0.5) + Float64(0.5 * Float64(cos(phi1) * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sin(((phi1 - phi2) / 2.0)), sqrt((0.5 + ((cos(phi1) * 0.5) + (0.5 * (cos(phi1) * (-1.0 + cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision] + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}{\sqrt{0.5 + \left(\cos \phi_1 \cdot 0.5 + 0.5 \cdot \left(\cos \phi_1 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)\right)\right)}}
\end{array}
Initial program 60.9%
Simplified61.0%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-commutativeN/A
Simplified44.5%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Applied egg-rr16.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
Simplified13.6%
Final simplification13.6%
herbie shell --seed 2024145
(FPCore (R lambda1 lambda2 phi1 phi2)
:name "Distance on a great circle"
:precision binary64
(* R (* 2.0 (atan2 (sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* (* (cos phi1) (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0))) (sin (/ (- lambda1 lambda2) 2.0))))) (sqrt (- 1.0 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* (* (cos phi1) (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0))) (sin (/ (- lambda1 lambda2) 2.0))))))))))