
(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 17 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) (cos phi2)))
(t_1 (sin (* 0.5 (+ lambda1 lambda2))))
(t_2
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(atan2
(sqrt (+ t_2 (* t_0 (* t_3 t_3))))
(sqrt
(+
1.0
(-
(*
t_0
(* (/ 1.0 (/ t_1 (* t_3 t_1))) (sin (/ (- lambda1 lambda2) -2.0))))
t_2))))
(* 2.0 R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin((0.5 * (lambda1 + lambda2)));
double t_2 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
return atan2(sqrt((t_2 + (t_0 * (t_3 * t_3)))), sqrt((1.0 + ((t_0 * ((1.0 / (t_1 / (t_3 * t_1))) * sin(((lambda1 - lambda2) / -2.0)))) - t_2)))) * (2.0 * R);
}
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
t_0 = cos(phi1) * cos(phi2)
t_1 = sin((0.5d0 * (lambda1 + lambda2)))
t_2 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_3 = sin(((lambda1 - lambda2) / 2.0d0))
code = atan2(sqrt((t_2 + (t_0 * (t_3 * t_3)))), sqrt((1.0d0 + ((t_0 * ((1.0d0 / (t_1 / (t_3 * t_1))) * sin(((lambda1 - lambda2) / (-2.0d0))))) - t_2)))) * (2.0d0 * r)
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((0.5 * (lambda1 + lambda2)));
double t_2 = 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 = Math.sin(((lambda1 - lambda2) / 2.0));
return Math.atan2(Math.sqrt((t_2 + (t_0 * (t_3 * t_3)))), Math.sqrt((1.0 + ((t_0 * ((1.0 / (t_1 / (t_3 * t_1))) * Math.sin(((lambda1 - lambda2) / -2.0)))) - t_2)))) * (2.0 * R);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.sin((0.5 * (lambda1 + lambda2))) t_2 = 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 = math.sin(((lambda1 - lambda2) / 2.0)) return math.atan2(math.sqrt((t_2 + (t_0 * (t_3 * t_3)))), math.sqrt((1.0 + ((t_0 * ((1.0 / (t_1 / (t_3 * t_1))) * math.sin(((lambda1 - lambda2) / -2.0)))) - t_2)))) * (2.0 * R)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(0.5 * Float64(lambda1 + lambda2))) t_2 = 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 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(atan(sqrt(Float64(t_2 + Float64(t_0 * Float64(t_3 * t_3)))), sqrt(Float64(1.0 + Float64(Float64(t_0 * Float64(Float64(1.0 / Float64(t_1 / Float64(t_3 * t_1))) * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - t_2)))) * Float64(2.0 * R)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin((0.5 * (lambda1 + lambda2))); t_2 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_3 = sin(((lambda1 - lambda2) / 2.0)); tmp = atan2(sqrt((t_2 + (t_0 * (t_3 * t_3)))), sqrt((1.0 + ((t_0 * ((1.0 / (t_1 / (t_3 * t_1))) * sin(((lambda1 - lambda2) / -2.0)))) - t_2)))) * (2.0 * R); 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[(0.5 * N[(lambda1 + lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = 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$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$2 + N[(t$95$0 * N[(t$95$3 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$0 * N[(N[(1.0 / N[(t$95$1 / N[(t$95$3 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(0.5 \cdot \left(\lambda_1 + \lambda_2\right)\right)\\
t_2 := {\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_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\tan^{-1}_* \frac{\sqrt{t\_2 + t\_0 \cdot \left(t\_3 \cdot t\_3\right)}}{\sqrt{1 + \left(t\_0 \cdot \left(\frac{1}{\frac{t\_1}{t\_3 \cdot t\_1}} \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - t\_2\right)}} \cdot \left(2 \cdot R\right)
\end{array}
\end{array}
Initial program 61.7%
Simplified61.7%
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-/.f6462.5%
Applied egg-rr62.5%
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-/.f6477.1%
Applied egg-rr77.1%
div-subN/A
sin-diffN/A
flip--N/A
sin-sumN/A
clear-numN/A
/-lowering-/.f64N/A
Applied egg-rr77.2%
Final simplification77.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 (+ lambda1 lambda2))))
(t_1 (* (cos phi1) (cos phi2)))
(t_2
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(* 2.0 R)
(atan2
(sqrt (+ t_2 (* t_1 (* t_3 (/ (* t_3 t_0) t_0)))))
(sqrt
(+ 1.0 (- (* t_1 (* t_3 (sin (/ (- lambda1 lambda2) -2.0)))) t_2)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (lambda1 + lambda2)));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
return (2.0 * R) * atan2(sqrt((t_2 + (t_1 * (t_3 * ((t_3 * t_0) / t_0))))), sqrt((1.0 + ((t_1 * (t_3 * sin(((lambda1 - lambda2) / -2.0)))) - t_2))));
}
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
t_0 = sin((0.5d0 * (lambda1 + lambda2)))
t_1 = cos(phi1) * cos(phi2)
t_2 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_3 = sin(((lambda1 - lambda2) / 2.0d0))
code = (2.0d0 * r) * atan2(sqrt((t_2 + (t_1 * (t_3 * ((t_3 * t_0) / t_0))))), sqrt((1.0d0 + ((t_1 * (t_3 * sin(((lambda1 - lambda2) / (-2.0d0))))) - t_2))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((0.5 * (lambda1 + lambda2)));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = 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 = Math.sin(((lambda1 - lambda2) / 2.0));
return (2.0 * R) * Math.atan2(Math.sqrt((t_2 + (t_1 * (t_3 * ((t_3 * t_0) / t_0))))), Math.sqrt((1.0 + ((t_1 * (t_3 * Math.sin(((lambda1 - lambda2) / -2.0)))) - t_2))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((0.5 * (lambda1 + lambda2))) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = 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 = math.sin(((lambda1 - lambda2) / 2.0)) return (2.0 * R) * math.atan2(math.sqrt((t_2 + (t_1 * (t_3 * ((t_3 * t_0) / t_0))))), math.sqrt((1.0 + ((t_1 * (t_3 * math.sin(((lambda1 - lambda2) / -2.0)))) - t_2))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 + lambda2))) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = 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 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_2 + Float64(t_1 * Float64(t_3 * Float64(Float64(t_3 * t_0) / t_0))))), sqrt(Float64(1.0 + Float64(Float64(t_1 * Float64(t_3 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - t_2))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 + lambda2))); t_1 = cos(phi1) * cos(phi2); t_2 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_3 = sin(((lambda1 - lambda2) / 2.0)); tmp = (2.0 * R) * atan2(sqrt((t_2 + (t_1 * (t_3 * ((t_3 * t_0) / t_0))))), sqrt((1.0 + ((t_1 * (t_3 * sin(((lambda1 - lambda2) / -2.0)))) - t_2)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(lambda1 + lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(t$95$1 * N[(t$95$3 * N[(N[(t$95$3 * t$95$0), $MachinePrecision] / t$95$0), $MachinePrecision]), $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] - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \left(\lambda_1 + \lambda_2\right)\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := {\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_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + t\_1 \cdot \left(t\_3 \cdot \frac{t\_3 \cdot t\_0}{t\_0}\right)}}{\sqrt{1 + \left(t\_1 \cdot \left(t\_3 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - t\_2\right)}}
\end{array}
\end{array}
Initial program 61.7%
Simplified61.7%
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-/.f6462.5%
Applied egg-rr62.5%
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-/.f6477.1%
Applied egg-rr77.1%
div-subN/A
sin-diffN/A
flip--N/A
sin-sumN/A
/-lowering-/.f64N/A
Applied egg-rr77.1%
Final simplification77.1%
(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 (* lambda1 0.5)) 2.0)))) t_2))))
(if (<= lambda1 -2.65e-5)
t_3
(if (<= lambda1 7.8e-16)
(*
(* 2.0 R)
(atan2 (sqrt (+ t_0 (* t_1 (pow (sin (* lambda2 -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((lambda1 * 0.5)), 2.0)))), t_2);
double tmp;
if (lambda1 <= -2.65e-5) {
tmp = t_3;
} else if (lambda1 <= 7.8e-16) {
tmp = (2.0 * R) * atan2(sqrt((t_0 + (t_1 * pow(sin((lambda2 * -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((lambda1 * 0.5d0)) ** 2.0d0)))), t_2)
if (lambda1 <= (-2.65d-5)) then
tmp = t_3
else if (lambda1 <= 7.8d-16) then
tmp = (2.0d0 * r) * atan2(sqrt((t_0 + (t_1 * (sin((lambda2 * (-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((lambda1 * 0.5)), 2.0)))), t_2);
double tmp;
if (lambda1 <= -2.65e-5) {
tmp = t_3;
} else if (lambda1 <= 7.8e-16) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((t_0 + (t_1 * Math.pow(Math.sin((lambda2 * -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((lambda1 * 0.5)), 2.0)))), t_2) tmp = 0 if lambda1 <= -2.65e-5: tmp = t_3 elif lambda1 <= 7.8e-16: tmp = (2.0 * R) * math.atan2(math.sqrt((t_0 + (t_1 * math.pow(math.sin((lambda2 * -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(lambda1 * 0.5)) ^ 2.0)))), t_2)) tmp = 0.0 if (lambda1 <= -2.65e-5) tmp = t_3; elseif (lambda1 <= 7.8e-16) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_0 + Float64(t_1 * (sin(Float64(lambda2 * -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((lambda1 * 0.5)) ^ 2.0)))), t_2); tmp = 0.0; if (lambda1 <= -2.65e-5) tmp = t_3; elseif (lambda1 <= 7.8e-16) tmp = (2.0 * R) * atan2(sqrt((t_0 + (t_1 * (sin((lambda2 * -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[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -2.65e-5], t$95$3, If[LessEqual[lambda1, 7.8e-16], 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], 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_1 \cdot 0.5\right)}^{2}}}{t\_2}\\
\mathbf{if}\;\lambda_1 \leq -2.65 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_1 \leq 7.8 \cdot 10^{-16}:\\
\;\;\;\;\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{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if lambda1 < -2.65e-5 or 7.79999999999999954e-16 < lambda1 Initial program 43.3%
Simplified43.3%
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-/.f6444.4%
Applied egg-rr44.4%
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-/.f6456.8%
Applied egg-rr56.8%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified56.5%
if -2.65e-5 < lambda1 < 7.79999999999999954e-16Initial program 80.0%
Simplified80.0%
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-/.f6480.7%
Applied egg-rr80.7%
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-/.f6497.5%
Applied egg-rr97.5%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified95.2%
Final simplification75.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (cos phi1) (cos phi2))))
(if (<= lambda1 -2.4e-59)
(*
(* 2.0 R)
(atan2
(sqrt (+ t_0 (* t_2 (* t_1 t_1))))
(sqrt
(+
(/ (* t_2 (+ (cos (- lambda1 lambda2)) -1.0)) 2.0)
(- 1.0 (+ 0.5 (* -0.5 (cos (- phi1 phi2)))))))))
(if (<= lambda1 7.8e-16)
(*
(* 2.0 R)
(atan2
(sqrt
(+
(pow
(-
(* (sin (* phi1 0.5)) (cos (* phi2 0.5)))
(* (cos (* phi1 0.5)) (sin (* phi2 0.5))))
2.0)
(* t_2 (pow (sin (* lambda2 -0.5)) 2.0))))
(sqrt
(+ 1.0 (- (* t_2 (* t_1 (sin (/ (- lambda1 lambda2) -2.0)))) t_0)))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_1 (* t_2 t_1))))
(sqrt (- 1.0 (+ t_0 (* t_2 (pow (sin (* lambda1 0.5)) 2.0))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos(phi1) * cos(phi2);
double tmp;
if (lambda1 <= -2.4e-59) {
tmp = (2.0 * R) * atan2(sqrt((t_0 + (t_2 * (t_1 * t_1)))), sqrt((((t_2 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (0.5 + (-0.5 * cos((phi1 - phi2))))))));
} else if (lambda1 <= 7.8e-16) {
tmp = (2.0 * R) * atan2(sqrt((pow(((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))), 2.0) + (t_2 * pow(sin((lambda2 * -0.5)), 2.0)))), sqrt((1.0 + ((t_2 * (t_1 * sin(((lambda1 - lambda2) / -2.0)))) - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_2 * t_1)))), sqrt((1.0 - (t_0 + (t_2 * pow(sin((lambda1 * 0.5)), 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) :: tmp
t_0 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos(phi1) * cos(phi2)
if (lambda1 <= (-2.4d-59)) then
tmp = (2.0d0 * r) * atan2(sqrt((t_0 + (t_2 * (t_1 * t_1)))), sqrt((((t_2 * (cos((lambda1 - lambda2)) + (-1.0d0))) / 2.0d0) + (1.0d0 - (0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))))))
else if (lambda1 <= 7.8d-16) then
tmp = (2.0d0 * r) * atan2(sqrt(((((sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0))) - (cos((phi1 * 0.5d0)) * sin((phi2 * 0.5d0)))) ** 2.0d0) + (t_2 * (sin((lambda2 * (-0.5d0))) ** 2.0d0)))), sqrt((1.0d0 + ((t_2 * (t_1 * sin(((lambda1 - lambda2) / (-2.0d0))))) - t_0))))
else
tmp = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (t_1 * (t_2 * t_1)))), sqrt((1.0d0 - (t_0 + (t_2 * (sin((lambda1 * 0.5d0)) ** 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.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_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.cos(phi1) * Math.cos(phi2);
double tmp;
if (lambda1 <= -2.4e-59) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((t_0 + (t_2 * (t_1 * t_1)))), Math.sqrt((((t_2 * (Math.cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (0.5 + (-0.5 * Math.cos((phi1 - phi2))))))));
} else if (lambda1 <= 7.8e-16) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((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_2 * Math.pow(Math.sin((lambda2 * -0.5)), 2.0)))), Math.sqrt((1.0 + ((t_2 * (t_1 * Math.sin(((lambda1 - lambda2) / -2.0)))) - t_0))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_2 * t_1)))), Math.sqrt((1.0 - (t_0 + (t_2 * Math.pow(Math.sin((lambda1 * 0.5)), 2.0)))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_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_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.cos(phi1) * math.cos(phi2) tmp = 0 if lambda1 <= -2.4e-59: tmp = (2.0 * R) * math.atan2(math.sqrt((t_0 + (t_2 * (t_1 * t_1)))), math.sqrt((((t_2 * (math.cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (0.5 + (-0.5 * math.cos((phi1 - phi2)))))))) elif lambda1 <= 7.8e-16: tmp = (2.0 * R) * math.atan2(math.sqrt((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_2 * math.pow(math.sin((lambda2 * -0.5)), 2.0)))), math.sqrt((1.0 + ((t_2 * (t_1 * math.sin(((lambda1 - lambda2) / -2.0)))) - t_0)))) else: tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_2 * t_1)))), math.sqrt((1.0 - (t_0 + (t_2 * math.pow(math.sin((lambda1 * 0.5)), 2.0))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_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_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(cos(phi1) * cos(phi2)) tmp = 0.0 if (lambda1 <= -2.4e-59) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_0 + Float64(t_2 * Float64(t_1 * t_1)))), sqrt(Float64(Float64(Float64(t_2 * Float64(cos(Float64(lambda1 - lambda2)) + -1.0)) / 2.0) + Float64(1.0 - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))))))); elseif (lambda1 <= 7.8e-16) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((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) + Float64(t_2 * (sin(Float64(lambda2 * -0.5)) ^ 2.0)))), sqrt(Float64(1.0 + Float64(Float64(t_2 * Float64(t_1 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_1 * Float64(t_2 * t_1)))), sqrt(Float64(1.0 - Float64(t_0 + Float64(t_2 * (sin(Float64(lambda1 * 0.5)) ^ 2.0)))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = cos(phi1) * cos(phi2); tmp = 0.0; if (lambda1 <= -2.4e-59) tmp = (2.0 * R) * atan2(sqrt((t_0 + (t_2 * (t_1 * t_1)))), sqrt((((t_2 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (0.5 + (-0.5 * cos((phi1 - phi2)))))))); elseif (lambda1 <= 7.8e-16) tmp = (2.0 * R) * atan2(sqrt(((((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))) ^ 2.0) + (t_2 * (sin((lambda2 * -0.5)) ^ 2.0)))), sqrt((1.0 + ((t_2 * (t_1 * sin(((lambda1 - lambda2) / -2.0)))) - t_0)))); else tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (t_1 * (t_2 * t_1)))), sqrt((1.0 - (t_0 + (t_2 * (sin((lambda1 * 0.5)) ^ 2.0))))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = 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$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]}, If[LessEqual[lambda1, -2.4e-59], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(t$95$2 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$2 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(1.0 - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 7.8e-16], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(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] + N[(t$95$2 * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$2 * N[(t$95$1 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(t$95$2 * N[Power[N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\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_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
\mathbf{if}\;\lambda_1 \leq -2.4 \cdot 10^{-59}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_2 \cdot \left(t\_1 \cdot t\_1\right)}}{\sqrt{\frac{t\_2 \cdot \left(\cos \left(\lambda_1 - \lambda_2\right) + -1\right)}{2} + \left(1 - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)\right)}}\\
\mathbf{elif}\;\lambda_1 \leq 7.8 \cdot 10^{-16}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\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\_2 \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}}}{\sqrt{1 + \left(t\_2 \cdot \left(t\_1 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - t\_0\right)}}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1 \cdot \left(t\_2 \cdot t\_1\right)}}{\sqrt{1 - \left(t\_0 + t\_2 \cdot {\sin \left(\lambda_1 \cdot 0.5\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if lambda1 < -2.40000000000000015e-59Initial program 47.5%
Simplified47.5%
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-/.f6448.0%
Applied egg-rr48.0%
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-/.f6457.1%
Applied egg-rr57.1%
Applied egg-rr48.4%
if -2.40000000000000015e-59 < lambda1 < 7.79999999999999954e-16Initial program 79.4%
Simplified79.4%
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-/.f6480.1%
Applied egg-rr80.1%
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-/.f6498.2%
Applied egg-rr98.2%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified96.5%
if 7.79999999999999954e-16 < lambda1 Initial program 45.2%
Taylor expanded in lambda2 around 0
--lowering--.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
Simplified45.9%
*-commutativeN/A
metadata-evalN/A
div-invN/A
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-/.f6447.4%
Applied egg-rr47.4%
Final simplification70.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* (- lambda1 lambda2) 0.5)))
(t_1
(pow
(-
(* (sin (* phi1 0.5)) (cos (* phi2 0.5)))
(* (cos (* phi1 0.5)) (sin (* phi2 0.5))))
2.0)))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* (* (cos phi1) (cos phi2)) (pow t_0 2.0)) t_1))
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* t_0 (* (cos phi2) (sin (* (- lambda1 lambda2) -0.5)))))
t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) * 0.5));
double t_1 = pow(((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))), 2.0);
return (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * pow(t_0, 2.0)) + t_1)), sqrt((1.0 + ((cos(phi1) * (t_0 * (cos(phi2) * sin(((lambda1 - lambda2) * -0.5))))) - 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) * 0.5d0))
t_1 = ((sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0))) - (cos((phi1 * 0.5d0)) * sin((phi2 * 0.5d0)))) ** 2.0d0
code = (2.0d0 * r) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (t_0 ** 2.0d0)) + t_1)), sqrt((1.0d0 + ((cos(phi1) * (t_0 * (cos(phi2) * sin(((lambda1 - lambda2) * (-0.5d0)))))) - 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) * 0.5));
double t_1 = Math.pow(((Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5))) - (Math.cos((phi1 * 0.5)) * Math.sin((phi2 * 0.5)))), 2.0);
return (2.0 * R) * Math.atan2(Math.sqrt((((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(t_0, 2.0)) + t_1)), Math.sqrt((1.0 + ((Math.cos(phi1) * (t_0 * (Math.cos(phi2) * Math.sin(((lambda1 - lambda2) * -0.5))))) - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) * 0.5)) t_1 = math.pow(((math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5))) - (math.cos((phi1 * 0.5)) * math.sin((phi2 * 0.5)))), 2.0) return (2.0 * R) * math.atan2(math.sqrt((((math.cos(phi1) * math.cos(phi2)) * math.pow(t_0, 2.0)) + t_1)), math.sqrt((1.0 + ((math.cos(phi1) * (t_0 * (math.cos(phi2) * math.sin(((lambda1 - lambda2) * -0.5))))) - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) * 0.5)) t_1 = 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 return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * (t_0 ^ 2.0)) + t_1)), sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(t_0 * Float64(cos(phi2) * sin(Float64(Float64(lambda1 - lambda2) * -0.5))))) - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) * 0.5)); t_1 = ((sin((phi1 * 0.5)) * cos((phi2 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))) ^ 2.0; tmp = (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (t_0 ^ 2.0)) + t_1)), sqrt((1.0 + ((cos(phi1) * (t_0 * (cos(phi2) * sin(((lambda1 - lambda2) * -0.5))))) - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = 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]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$0 * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)\\
t_1 := {\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}\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {t\_0}^{2} + t\_1}}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(t\_0 \cdot \left(\cos \phi_2 \cdot \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right)\right) - t\_1\right)}}
\end{array}
\end{array}
Initial program 61.7%
Simplified61.7%
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-/.f6462.5%
Applied egg-rr62.5%
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-/.f6477.1%
Applied egg-rr77.1%
div-subN/A
sin-diffN/A
flip--N/A
sin-sumN/A
clear-numN/A
/-lowering-/.f64N/A
Applied egg-rr77.2%
Taylor expanded in phi1 around 0
Simplified77.1%
Final simplification77.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(* 2.0 R)
(atan2
(sqrt
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
(* t_0 (* t_1 t_1))))
(sqrt
(+
(/ (* t_0 (+ (cos (- lambda1 lambda2)) -1.0)) 2.0)
(- 1.0 (+ 0.5 (* -0.5 (cos (- phi1 phi2)))))))))))
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));
return (2.0 * R) * atan2(sqrt((pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (t_0 * (t_1 * t_1)))), sqrt((((t_0 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (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
real(8) :: t_0
real(8) :: t_1
t_0 = cos(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
code = (2.0d0 * r) * atan2(sqrt(((((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0) + (t_0 * (t_1 * t_1)))), sqrt((((t_0 * (cos((lambda1 - lambda2)) + (-1.0d0))) / 2.0d0) + (1.0d0 - (0.5d0 + ((-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.cos(phi1) * Math.cos(phi2);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
return (2.0 * R) * Math.atan2(Math.sqrt((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_0 * (t_1 * t_1)))), Math.sqrt((((t_0 * (Math.cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (0.5 + (-0.5 * Math.cos((phi1 - phi2))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) return (2.0 * R) * math.atan2(math.sqrt((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_0 * (t_1 * t_1)))), math.sqrt((((t_0 * (math.cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (0.5 + (-0.5 * math.cos((phi1 - phi2))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64((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) + Float64(t_0 * Float64(t_1 * t_1)))), sqrt(Float64(Float64(Float64(t_0 * Float64(cos(Float64(lambda1 - lambda2)) + -1.0)) / 2.0) + Float64(1.0 - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = (2.0 * R) * atan2(sqrt(((((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0) + (t_0 * (t_1 * t_1)))), sqrt((((t_0 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (1.0 - (0.5 + (-0.5 * cos((phi1 - phi2)))))))); 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]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(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] + N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(1.0 - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\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\_0 \cdot \left(t\_1 \cdot t\_1\right)}}{\sqrt{\frac{t\_0 \cdot \left(\cos \left(\lambda_1 - \lambda_2\right) + -1\right)}{2} + \left(1 - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)\right)}}
\end{array}
\end{array}
Initial program 61.7%
Simplified61.7%
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-/.f6462.5%
Applied egg-rr62.5%
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-/.f6477.1%
Applied egg-rr77.1%
Applied egg-rr62.6%
Final simplification62.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (- phi1 phi2)))
(t_3 (* (cos phi1) (cos phi2)))
(t_4
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* -0.5 t_2) (* 0.5 (* t_3 (- 1.0 t_0))))))
(sqrt (+ 0.5 (* 0.5 (+ t_2 (* t_3 (+ -1.0 t_0))))))))))
(if (<= t_1 -5e-21)
t_4
(if (<= t_1 5e-16)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_1 (* t_3 t_1))))
(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((lambda2 - lambda1));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((phi1 - phi2));
double t_3 = cos(phi1) * cos(phi2);
double t_4 = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_2) + (0.5 * (t_3 * (1.0 - t_0)))))), sqrt((0.5 + (0.5 * (t_2 + (t_3 * (-1.0 + t_0)))))));
double tmp;
if (t_1 <= -5e-21) {
tmp = t_4;
} else if (t_1 <= 5e-16) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_3 * t_1)))), 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((lambda2 - lambda1))
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos((phi1 - phi2))
t_3 = cos(phi1) * cos(phi2)
t_4 = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((-0.5d0) * t_2) + (0.5d0 * (t_3 * (1.0d0 - t_0)))))), sqrt((0.5d0 + (0.5d0 * (t_2 + (t_3 * ((-1.0d0) + t_0)))))))
if (t_1 <= (-5d-21)) then
tmp = t_4
else if (t_1 <= 5d-16) then
tmp = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (t_1 * (t_3 * t_1)))), 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((lambda2 - lambda1));
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.cos((phi1 - phi2));
double t_3 = Math.cos(phi1) * Math.cos(phi2);
double t_4 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((-0.5 * t_2) + (0.5 * (t_3 * (1.0 - t_0)))))), Math.sqrt((0.5 + (0.5 * (t_2 + (t_3 * (-1.0 + t_0)))))));
double tmp;
if (t_1 <= -5e-21) {
tmp = t_4;
} else if (t_1 <= 5e-16) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_3 * t_1)))), 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((lambda2 - lambda1)) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.cos((phi1 - phi2)) t_3 = math.cos(phi1) * math.cos(phi2) t_4 = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((-0.5 * t_2) + (0.5 * (t_3 * (1.0 - t_0)))))), math.sqrt((0.5 + (0.5 * (t_2 + (t_3 * (-1.0 + t_0))))))) tmp = 0 if t_1 <= -5e-21: tmp = t_4 elif t_1 <= 5e-16: tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_3 * t_1)))), 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(lambda2 - lambda1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(phi1 - phi2)) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(-0.5 * t_2) + Float64(0.5 * Float64(t_3 * Float64(1.0 - t_0)))))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_2 + Float64(t_3 * Float64(-1.0 + t_0)))))))) tmp = 0.0 if (t_1 <= -5e-21) tmp = t_4; elseif (t_1 <= 5e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_1 * Float64(t_3 * t_1)))), 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((lambda2 - lambda1)); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = cos((phi1 - phi2)); t_3 = cos(phi1) * cos(phi2); t_4 = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_2) + (0.5 * (t_3 * (1.0 - t_0)))))), sqrt((0.5 + (0.5 * (t_2 + (t_3 * (-1.0 + t_0))))))); tmp = 0.0; if (t_1 <= -5e-21) tmp = t_4; elseif (t_1 <= 5e-16) tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (t_1 * (t_3 * t_1)))), 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[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(-0.5 * t$95$2), $MachinePrecision] + N[(0.5 * N[(t$95$3 * N[(1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$2 + N[(t$95$3 * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, -5e-21], t$95$4, If[LessEqual[t$95$1, 5e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$3 * t$95$1), $MachinePrecision]), $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]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(\phi_1 - \phi_2\right)\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(-0.5 \cdot t\_2 + 0.5 \cdot \left(t\_3 \cdot \left(1 - t\_0\right)\right)\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_2 + t\_3 \cdot \left(-1 + t\_0\right)\right)}}\\
\mathbf{if}\;t\_1 \leq -5 \cdot 10^{-21}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;t\_1 \leq 5 \cdot 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1 \cdot \left(t\_3 \cdot t\_1\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -4.99999999999999973e-21 or 5.0000000000000004e-16 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 56.4%
Applied egg-rr56.5%
Taylor expanded in lambda1 around -inf
Simplified56.5%
if -4.99999999999999973e-21 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 5.0000000000000004e-16Initial program 81.2%
Taylor expanded in lambda2 around 0
--lowering--.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
Simplified81.2%
Taylor expanded in lambda1 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6481.2%
Simplified81.2%
Final simplification61.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (cos phi1) 0.5))
(t_4 (/ (- phi1 phi2) 2.0))
(t_5 (pow (sin t_4) 2.0)))
(if (<= phi1 -9.5e-6)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_3 (- 1.0 t_0)) (* (cos phi1) -0.5))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_4))))
(/
(*
t_1
(+
(* (cos lambda2) (cos lambda1))
(+ (* (sin lambda2) (sin lambda1)) -1.0)))
2.0)))))
(if (<= phi1 3.15e-12)
(*
R
(*
2.0
(atan2
(sqrt (+ t_5 (* t_2 (* t_1 t_2))))
(sqrt
(+
(* (* (cos phi2) 0.5) (+ t_0 -1.0))
(pow (cos (* phi2 -0.5)) 2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_1 (* t_2 t_2)) t_5))
(sqrt
(+
(+ 0.5 t_3)
(*
(sin (* (- lambda1 lambda2) 0.5))
(* (cos phi1) (sin (* (- lambda1 lambda2) -0.5))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos(phi1) * 0.5;
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = pow(sin(t_4), 2.0);
double tmp;
if (phi1 <= -9.5e-6) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * (1.0 - t_0)) + (cos(phi1) * -0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_4)))) + ((t_1 * ((cos(lambda2) * cos(lambda1)) + ((sin(lambda2) * sin(lambda1)) + -1.0))) / 2.0))));
} else if (phi1 <= 3.15e-12) {
tmp = R * (2.0 * atan2(sqrt((t_5 + (t_2 * (t_1 * t_2)))), sqrt((((cos(phi2) * 0.5) * (t_0 + -1.0)) + pow(cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((t_1 * (t_2 * t_2)) + t_5)), sqrt(((0.5 + t_3) + (sin(((lambda1 - lambda2) * 0.5)) * (cos(phi1) * sin(((lambda1 - lambda2) * -0.5)))))));
}
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 = cos(phi1) * cos(phi2)
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = cos(phi1) * 0.5d0
t_4 = (phi1 - phi2) / 2.0d0
t_5 = sin(t_4) ** 2.0d0
if (phi1 <= (-9.5d-6)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_3 * (1.0d0 - t_0)) + (cos(phi1) * (-0.5d0))))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_4)))) + ((t_1 * ((cos(lambda2) * cos(lambda1)) + ((sin(lambda2) * sin(lambda1)) + (-1.0d0)))) / 2.0d0))))
else if (phi1 <= 3.15d-12) then
tmp = r * (2.0d0 * atan2(sqrt((t_5 + (t_2 * (t_1 * t_2)))), sqrt((((cos(phi2) * 0.5d0) * (t_0 + (-1.0d0))) + (cos((phi2 * (-0.5d0))) ** 2.0d0)))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((t_1 * (t_2 * t_2)) + t_5)), sqrt(((0.5d0 + t_3) + (sin(((lambda1 - lambda2) * 0.5d0)) * (cos(phi1) * sin(((lambda1 - lambda2) * (-0.5d0))))))))
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 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = Math.cos(phi1) * 0.5;
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = Math.pow(Math.sin(t_4), 2.0);
double tmp;
if (phi1 <= -9.5e-6) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_3 * (1.0 - t_0)) + (Math.cos(phi1) * -0.5)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_4)))) + ((t_1 * ((Math.cos(lambda2) * Math.cos(lambda1)) + ((Math.sin(lambda2) * Math.sin(lambda1)) + -1.0))) / 2.0))));
} else if (phi1 <= 3.15e-12) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_5 + (t_2 * (t_1 * t_2)))), Math.sqrt((((Math.cos(phi2) * 0.5) * (t_0 + -1.0)) + Math.pow(Math.cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_1 * (t_2 * t_2)) + t_5)), Math.sqrt(((0.5 + t_3) + (Math.sin(((lambda1 - lambda2) * 0.5)) * (Math.cos(phi1) * Math.sin(((lambda1 - lambda2) * -0.5)))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = math.cos(phi1) * 0.5 t_4 = (phi1 - phi2) / 2.0 t_5 = math.pow(math.sin(t_4), 2.0) tmp = 0 if phi1 <= -9.5e-6: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_3 * (1.0 - t_0)) + (math.cos(phi1) * -0.5)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_4)))) + ((t_1 * ((math.cos(lambda2) * math.cos(lambda1)) + ((math.sin(lambda2) * math.sin(lambda1)) + -1.0))) / 2.0)))) elif phi1 <= 3.15e-12: tmp = R * (2.0 * math.atan2(math.sqrt((t_5 + (t_2 * (t_1 * t_2)))), math.sqrt((((math.cos(phi2) * 0.5) * (t_0 + -1.0)) + math.pow(math.cos((phi2 * -0.5)), 2.0))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_1 * (t_2 * t_2)) + t_5)), math.sqrt(((0.5 + t_3) + (math.sin(((lambda1 - lambda2) * 0.5)) * (math.cos(phi1) * math.sin(((lambda1 - lambda2) * -0.5))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(cos(phi1) * 0.5) t_4 = Float64(Float64(phi1 - phi2) / 2.0) t_5 = sin(t_4) ^ 2.0 tmp = 0.0 if (phi1 <= -9.5e-6) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_3 * Float64(1.0 - t_0)) + Float64(cos(phi1) * -0.5)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_4)))) + Float64(Float64(t_1 * Float64(Float64(cos(lambda2) * cos(lambda1)) + Float64(Float64(sin(lambda2) * sin(lambda1)) + -1.0))) / 2.0))))); elseif (phi1 <= 3.15e-12) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + Float64(t_2 * Float64(t_1 * t_2)))), sqrt(Float64(Float64(Float64(cos(phi2) * 0.5) * Float64(t_0 + -1.0)) + (cos(Float64(phi2 * -0.5)) ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_1 * Float64(t_2 * t_2)) + t_5)), sqrt(Float64(Float64(0.5 + t_3) + Float64(sin(Float64(Float64(lambda1 - lambda2) * 0.5)) * Float64(cos(phi1) * sin(Float64(Float64(lambda1 - lambda2) * -0.5)))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = cos(phi1) * cos(phi2); t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = cos(phi1) * 0.5; t_4 = (phi1 - phi2) / 2.0; t_5 = sin(t_4) ^ 2.0; tmp = 0.0; if (phi1 <= -9.5e-6) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * (1.0 - t_0)) + (cos(phi1) * -0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_4)))) + ((t_1 * ((cos(lambda2) * cos(lambda1)) + ((sin(lambda2) * sin(lambda1)) + -1.0))) / 2.0)))); elseif (phi1 <= 3.15e-12) tmp = R * (2.0 * atan2(sqrt((t_5 + (t_2 * (t_1 * t_2)))), sqrt((((cos(phi2) * 0.5) * (t_0 + -1.0)) + (cos((phi2 * -0.5)) ^ 2.0))))); else tmp = (2.0 * R) * atan2(sqrt(((t_1 * (t_2 * t_2)) + t_5)), sqrt(((0.5 + t_3) + (sin(((lambda1 - lambda2) * 0.5)) * (cos(phi1) * sin(((lambda1 - lambda2) * -0.5))))))); 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[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$4 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$5 = N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -9.5e-6], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$3 * N[(1.0 - t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 * N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.15e-12], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + N[(t$95$2 * N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision] * N[(t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] + N[(N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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 \cos \phi_2\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \phi_1 \cdot 0.5\\
t_4 := \frac{\phi_1 - \phi_2}{2}\\
t_5 := {\sin t\_4}^{2}\\
\mathbf{if}\;\phi_1 \leq -9.5 \cdot 10^{-6}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_3 \cdot \left(1 - t\_0\right) + \cos \phi_1 \cdot -0.5\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_4\right)\right) + \frac{t\_1 \cdot \left(\cos \lambda_2 \cdot \cos \lambda_1 + \left(\sin \lambda_2 \cdot \sin \lambda_1 + -1\right)\right)}{2}}}\\
\mathbf{elif}\;\phi_1 \leq 3.15 \cdot 10^{-12}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + t\_2 \cdot \left(t\_1 \cdot t\_2\right)}}{\sqrt{\left(\cos \phi_2 \cdot 0.5\right) \cdot \left(t\_0 + -1\right) + {\cos \left(\phi_2 \cdot -0.5\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_2 \cdot t\_2\right) + t\_5}}{\sqrt{\left(0.5 + t\_3\right) + \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \left(\cos \phi_1 \cdot \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right)}}\\
\end{array}
\end{array}
if phi1 < -9.5000000000000005e-6Initial program 43.7%
Applied egg-rr43.9%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.0%
Simplified45.0%
*-rgt-identityN/A
cos-diffN/A
associate-+l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6445.4%
Applied egg-rr45.4%
if -9.5000000000000005e-6 < phi1 < 3.1500000000000001e-12Initial program 79.1%
Applied egg-rr79.2%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-commutativeN/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
pow-lowering-pow.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6479.2%
Simplified79.2%
if 3.1500000000000001e-12 < phi1 Initial program 42.4%
Simplified42.5%
+-commutativeN/A
associate-+l-N/A
*-commutativeN/A
associate-*r*N/A
fmm-defN/A
fma-lowering-fma.f64N/A
Applied egg-rr42.6%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
Simplified43.5%
Final simplification62.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (/ (- phi1 phi2) 2.0))
(t_4 (+ t_2 -1.0))
(t_5 (pow (sin t_3) 2.0)))
(if (<= phi1 -7e-5)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (+ -0.5 (* 0.5 (- 1.0 t_2))))))
(sqrt (+ (/ (* t_0 t_4) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_3))))))))
(if (<= phi1 3.15e-12)
(*
R
(*
2.0
(atan2
(sqrt (+ t_5 (* t_1 (* t_0 t_1))))
(sqrt
(+ (* (* (cos phi2) 0.5) t_4) (pow (cos (* phi2 -0.5)) 2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_0 (* t_1 t_1)) t_5))
(sqrt
(+
(+ 0.5 (* (cos phi1) 0.5))
(*
(sin (* (- lambda1 lambda2) 0.5))
(* (cos phi1) (sin (* (- lambda1 lambda2) -0.5))))))))))))
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 = cos((lambda1 - lambda2));
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = t_2 + -1.0;
double t_5 = pow(sin(t_3), 2.0);
double tmp;
if (phi1 <= -7e-5) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3)))))));
} else if (phi1 <= 3.15e-12) {
tmp = R * (2.0 * atan2(sqrt((t_5 + (t_1 * (t_0 * t_1)))), sqrt((((cos(phi2) * 0.5) * t_4) + pow(cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((t_0 * (t_1 * t_1)) + t_5)), sqrt(((0.5 + (cos(phi1) * 0.5)) + (sin(((lambda1 - lambda2) * 0.5)) * (cos(phi1) * sin(((lambda1 - lambda2) * -0.5)))))));
}
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(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos((lambda1 - lambda2))
t_3 = (phi1 - phi2) / 2.0d0
t_4 = t_2 + (-1.0d0)
t_5 = sin(t_3) ** 2.0d0
if (phi1 <= (-7d-5)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + (cos(phi1) * ((-0.5d0) + (0.5d0 * (1.0d0 - t_2)))))), sqrt((((t_0 * t_4) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_3)))))))
else if (phi1 <= 3.15d-12) then
tmp = r * (2.0d0 * atan2(sqrt((t_5 + (t_1 * (t_0 * t_1)))), sqrt((((cos(phi2) * 0.5d0) * t_4) + (cos((phi2 * (-0.5d0))) ** 2.0d0)))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((t_0 * (t_1 * t_1)) + t_5)), sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) + (sin(((lambda1 - lambda2) * 0.5d0)) * (cos(phi1) * sin(((lambda1 - lambda2) * (-0.5d0))))))))
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.cos((lambda1 - lambda2));
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = t_2 + -1.0;
double t_5 = Math.pow(Math.sin(t_3), 2.0);
double tmp;
if (phi1 <= -7e-5) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), Math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_3)))))));
} else if (phi1 <= 3.15e-12) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_5 + (t_1 * (t_0 * t_1)))), Math.sqrt((((Math.cos(phi2) * 0.5) * t_4) + Math.pow(Math.cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_0 * (t_1 * t_1)) + t_5)), Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) + (Math.sin(((lambda1 - lambda2) * 0.5)) * (Math.cos(phi1) * Math.sin(((lambda1 - lambda2) * -0.5)))))));
}
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.cos((lambda1 - lambda2)) t_3 = (phi1 - phi2) / 2.0 t_4 = t_2 + -1.0 t_5 = math.pow(math.sin(t_3), 2.0) tmp = 0 if phi1 <= -7e-5: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_3))))))) elif phi1 <= 3.15e-12: tmp = R * (2.0 * math.atan2(math.sqrt((t_5 + (t_1 * (t_0 * t_1)))), math.sqrt((((math.cos(phi2) * 0.5) * t_4) + math.pow(math.cos((phi2 * -0.5)), 2.0))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_0 * (t_1 * t_1)) + t_5)), math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) + (math.sin(((lambda1 - lambda2) * 0.5)) * (math.cos(phi1) * math.sin(((lambda1 - lambda2) * -0.5))))))) 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 = cos(Float64(lambda1 - lambda2)) t_3 = Float64(Float64(phi1 - phi2) / 2.0) t_4 = Float64(t_2 + -1.0) t_5 = sin(t_3) ^ 2.0 tmp = 0.0 if (phi1 <= -7e-5) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(-0.5 + Float64(0.5 * Float64(1.0 - t_2)))))), sqrt(Float64(Float64(Float64(t_0 * t_4) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_3)))))))); elseif (phi1 <= 3.15e-12) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + Float64(t_1 * Float64(t_0 * t_1)))), sqrt(Float64(Float64(Float64(cos(phi2) * 0.5) * t_4) + (cos(Float64(phi2 * -0.5)) ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_0 * Float64(t_1 * t_1)) + t_5)), sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) + Float64(sin(Float64(Float64(lambda1 - lambda2) * 0.5)) * Float64(cos(phi1) * sin(Float64(Float64(lambda1 - lambda2) * -0.5)))))))); 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 = cos((lambda1 - lambda2)); t_3 = (phi1 - phi2) / 2.0; t_4 = t_2 + -1.0; t_5 = sin(t_3) ^ 2.0; tmp = 0.0; if (phi1 <= -7e-5) tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3))))))); elseif (phi1 <= 3.15e-12) tmp = R * (2.0 * atan2(sqrt((t_5 + (t_1 * (t_0 * t_1)))), sqrt((((cos(phi2) * 0.5) * t_4) + (cos((phi2 * -0.5)) ^ 2.0))))); else tmp = (2.0 * R) * atan2(sqrt(((t_0 * (t_1 * t_1)) + t_5)), sqrt(((0.5 + (cos(phi1) * 0.5)) + (sin(((lambda1 - lambda2) * 0.5)) * (cos(phi1) * sin(((lambda1 - lambda2) * -0.5))))))); 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[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + -1.0), $MachinePrecision]}, Block[{t$95$5 = N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -7e-5], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 + N[(0.5 * N[(1.0 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$4), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.15e-12], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision] * t$95$4), $MachinePrecision] + N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := \frac{\phi_1 - \phi_2}{2}\\
t_4 := t\_2 + -1\\
t_5 := {\sin t\_3}^{2}\\
\mathbf{if}\;\phi_1 \leq -7 \cdot 10^{-5}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(-0.5 + 0.5 \cdot \left(1 - t\_2\right)\right)}}{\sqrt{\frac{t\_0 \cdot t\_4}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right)}}\\
\mathbf{elif}\;\phi_1 \leq 3.15 \cdot 10^{-12}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}}{\sqrt{\left(\cos \phi_2 \cdot 0.5\right) \cdot t\_4 + {\cos \left(\phi_2 \cdot -0.5\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(t\_1 \cdot t\_1\right) + t\_5}}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) + \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot \left(\cos \phi_1 \cdot \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right)}}\\
\end{array}
\end{array}
if phi1 < -6.9999999999999994e-5Initial program 43.7%
Applied egg-rr43.9%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.0%
Simplified45.0%
+-commutativeN/A
+-lowering-+.f64N/A
associate-*l*N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6445.0%
Applied egg-rr45.0%
if -6.9999999999999994e-5 < phi1 < 3.1500000000000001e-12Initial program 79.1%
Applied egg-rr79.2%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-commutativeN/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
pow-lowering-pow.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6479.2%
Simplified79.2%
if 3.1500000000000001e-12 < phi1 Initial program 42.4%
Simplified42.5%
+-commutativeN/A
associate-+l-N/A
*-commutativeN/A
associate-*r*N/A
fmm-defN/A
fma-lowering-fma.f64N/A
Applied egg-rr42.6%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
Simplified43.5%
Final simplification62.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (+ t_2 -1.0))
(t_4 (/ (- phi1 phi2) 2.0))
(t_5 (sqrt (+ (pow (sin t_4) 2.0) (* t_1 (* t_0 t_1))))))
(if (<= phi1 -0.000185)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (+ -0.5 (* 0.5 (- 1.0 t_2))))))
(sqrt (+ (/ (* t_0 t_3) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_4))))))))
(if (<= phi1 3.15e-12)
(*
R
(*
2.0
(atan2
t_5
(sqrt
(+ (* (* (cos phi2) 0.5) t_3) (pow (cos (* phi2 -0.5)) 2.0))))))
(*
R
(*
2.0
(atan2
t_5
(sqrt
(+ (pow (cos (* phi1 0.5)) 2.0) (* (* (cos phi1) 0.5) t_3))))))))))
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 = cos((lambda1 - lambda2));
double t_3 = t_2 + -1.0;
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = sqrt((pow(sin(t_4), 2.0) + (t_1 * (t_0 * t_1))));
double tmp;
if (phi1 <= -0.000185) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_4)))))));
} else if (phi1 <= 3.15e-12) {
tmp = R * (2.0 * atan2(t_5, sqrt((((cos(phi2) * 0.5) * t_3) + pow(cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = R * (2.0 * atan2(t_5, sqrt((pow(cos((phi1 * 0.5)), 2.0) + ((cos(phi1) * 0.5) * 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) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos((lambda1 - lambda2))
t_3 = t_2 + (-1.0d0)
t_4 = (phi1 - phi2) / 2.0d0
t_5 = sqrt(((sin(t_4) ** 2.0d0) + (t_1 * (t_0 * t_1))))
if (phi1 <= (-0.000185d0)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + (cos(phi1) * ((-0.5d0) + (0.5d0 * (1.0d0 - t_2)))))), sqrt((((t_0 * t_3) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_4)))))))
else if (phi1 <= 3.15d-12) then
tmp = r * (2.0d0 * atan2(t_5, sqrt((((cos(phi2) * 0.5d0) * t_3) + (cos((phi2 * (-0.5d0))) ** 2.0d0)))))
else
tmp = r * (2.0d0 * atan2(t_5, sqrt(((cos((phi1 * 0.5d0)) ** 2.0d0) + ((cos(phi1) * 0.5d0) * 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.cos(phi1) * Math.cos(phi2);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.cos((lambda1 - lambda2));
double t_3 = t_2 + -1.0;
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = Math.sqrt((Math.pow(Math.sin(t_4), 2.0) + (t_1 * (t_0 * t_1))));
double tmp;
if (phi1 <= -0.000185) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), Math.sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_4)))))));
} else if (phi1 <= 3.15e-12) {
tmp = R * (2.0 * Math.atan2(t_5, Math.sqrt((((Math.cos(phi2) * 0.5) * t_3) + Math.pow(Math.cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = R * (2.0 * Math.atan2(t_5, Math.sqrt((Math.pow(Math.cos((phi1 * 0.5)), 2.0) + ((Math.cos(phi1) * 0.5) * t_3)))));
}
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.cos((lambda1 - lambda2)) t_3 = t_2 + -1.0 t_4 = (phi1 - phi2) / 2.0 t_5 = math.sqrt((math.pow(math.sin(t_4), 2.0) + (t_1 * (t_0 * t_1)))) tmp = 0 if phi1 <= -0.000185: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), math.sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_4))))))) elif phi1 <= 3.15e-12: tmp = R * (2.0 * math.atan2(t_5, math.sqrt((((math.cos(phi2) * 0.5) * t_3) + math.pow(math.cos((phi2 * -0.5)), 2.0))))) else: tmp = R * (2.0 * math.atan2(t_5, math.sqrt((math.pow(math.cos((phi1 * 0.5)), 2.0) + ((math.cos(phi1) * 0.5) * t_3))))) 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 = cos(Float64(lambda1 - lambda2)) t_3 = Float64(t_2 + -1.0) t_4 = Float64(Float64(phi1 - phi2) / 2.0) t_5 = sqrt(Float64((sin(t_4) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))) tmp = 0.0 if (phi1 <= -0.000185) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(-0.5 + Float64(0.5 * Float64(1.0 - t_2)))))), sqrt(Float64(Float64(Float64(t_0 * t_3) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_4)))))))); elseif (phi1 <= 3.15e-12) tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(Float64(Float64(cos(phi2) * 0.5) * t_3) + (cos(Float64(phi2 * -0.5)) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64((cos(Float64(phi1 * 0.5)) ^ 2.0) + Float64(Float64(cos(phi1) * 0.5) * t_3)))))); 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 = cos((lambda1 - lambda2)); t_3 = t_2 + -1.0; t_4 = (phi1 - phi2) / 2.0; t_5 = sqrt(((sin(t_4) ^ 2.0) + (t_1 * (t_0 * t_1)))); tmp = 0.0; if (phi1 <= -0.000185) tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * (1.0 - t_2)))))), sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_4))))))); elseif (phi1 <= 3.15e-12) tmp = R * (2.0 * atan2(t_5, sqrt((((cos(phi2) * 0.5) * t_3) + (cos((phi2 * -0.5)) ^ 2.0))))); else tmp = R * (2.0 * atan2(t_5, sqrt(((cos((phi1 * 0.5)) ^ 2.0) + ((cos(phi1) * 0.5) * t_3))))); 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[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + -1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.000185], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 + N[(0.5 * N[(1.0 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$3), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.15e-12], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision] * t$95$3), $MachinePrecision] + N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(N[Power[N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision] * t$95$3), $MachinePrecision]), $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 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := t\_2 + -1\\
t_4 := \frac{\phi_1 - \phi_2}{2}\\
t_5 := \sqrt{{\sin t\_4}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}\\
\mathbf{if}\;\phi_1 \leq -0.000185:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(-0.5 + 0.5 \cdot \left(1 - t\_2\right)\right)}}{\sqrt{\frac{t\_0 \cdot t\_3}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_4\right)\right)}}\\
\mathbf{elif}\;\phi_1 \leq 3.15 \cdot 10^{-12}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{\left(\cos \phi_2 \cdot 0.5\right) \cdot t\_3 + {\cos \left(\phi_2 \cdot -0.5\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{{\cos \left(\phi_1 \cdot 0.5\right)}^{2} + \left(\cos \phi_1 \cdot 0.5\right) \cdot t\_3}}\right)\\
\end{array}
\end{array}
if phi1 < -1.85e-4Initial program 43.7%
Applied egg-rr43.9%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.0%
Simplified45.0%
+-commutativeN/A
+-lowering-+.f64N/A
associate-*l*N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6445.0%
Applied egg-rr45.0%
if -1.85e-4 < phi1 < 3.1500000000000001e-12Initial program 79.1%
Applied egg-rr79.2%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-commutativeN/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
pow-lowering-pow.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6479.2%
Simplified79.2%
if 3.1500000000000001e-12 < phi1 Initial program 42.4%
Applied egg-rr42.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
pow-lowering-pow.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6443.4%
Simplified43.4%
Final simplification62.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (+ t_1 -1.0))
(t_3 (/ (- phi1 phi2) 2.0))
(t_4 (cos (- lambda2 lambda1)))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (cos (- phi1 phi2))))
(if (<= phi1 -6.5e-5)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (+ -0.5 (* 0.5 (- 1.0 t_1))))))
(sqrt (+ (/ (* t_0 t_2) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_3))))))))
(if (<= phi1 1.2e-29)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_3) 2.0) (* t_5 (* t_0 t_5))))
(sqrt
(+ (* (* (cos phi2) 0.5) t_2) (pow (cos (* phi2 -0.5)) 2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* -0.5 t_6) (* 0.5 (* t_0 (- 1.0 t_4))))))
(sqrt (+ 0.5 (* 0.5 (+ t_6 (* t_0 (+ -1.0 t_4))))))))))))
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 = t_1 + -1.0;
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = cos((lambda2 - lambda1));
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = cos((phi1 - phi2));
double tmp;
if (phi1 <= -6.5e-5) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * (1.0 - t_1)))))), sqrt((((t_0 * t_2) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3)))))));
} else if (phi1 <= 1.2e-29) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(t_3), 2.0) + (t_5 * (t_0 * t_5)))), sqrt((((cos(phi2) * 0.5) * t_2) + pow(cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_6) + (0.5 * (t_0 * (1.0 - t_4)))))), sqrt((0.5 + (0.5 * (t_6 + (t_0 * (-1.0 + 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) :: t_6
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = t_1 + (-1.0d0)
t_3 = (phi1 - phi2) / 2.0d0
t_4 = cos((lambda2 - lambda1))
t_5 = sin(((lambda1 - lambda2) / 2.0d0))
t_6 = cos((phi1 - phi2))
if (phi1 <= (-6.5d-5)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + (cos(phi1) * ((-0.5d0) + (0.5d0 * (1.0d0 - t_1)))))), sqrt((((t_0 * t_2) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_3)))))))
else if (phi1 <= 1.2d-29) then
tmp = r * (2.0d0 * atan2(sqrt(((sin(t_3) ** 2.0d0) + (t_5 * (t_0 * t_5)))), sqrt((((cos(phi2) * 0.5d0) * t_2) + (cos((phi2 * (-0.5d0))) ** 2.0d0)))))
else
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((-0.5d0) * t_6) + (0.5d0 * (t_0 * (1.0d0 - t_4)))))), sqrt((0.5d0 + (0.5d0 * (t_6 + (t_0 * ((-1.0d0) + 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) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = t_1 + -1.0;
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = Math.cos((lambda2 - lambda1));
double t_5 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_6 = Math.cos((phi1 - phi2));
double tmp;
if (phi1 <= -6.5e-5) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (-0.5 + (0.5 * (1.0 - t_1)))))), Math.sqrt((((t_0 * t_2) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_3)))))));
} else if (phi1 <= 1.2e-29) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_3), 2.0) + (t_5 * (t_0 * t_5)))), Math.sqrt((((Math.cos(phi2) * 0.5) * t_2) + Math.pow(Math.cos((phi2 * -0.5)), 2.0)))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((-0.5 * t_6) + (0.5 * (t_0 * (1.0 - t_4)))))), Math.sqrt((0.5 + (0.5 * (t_6 + (t_0 * (-1.0 + t_4)))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = t_1 + -1.0 t_3 = (phi1 - phi2) / 2.0 t_4 = math.cos((lambda2 - lambda1)) t_5 = math.sin(((lambda1 - lambda2) / 2.0)) t_6 = math.cos((phi1 - phi2)) tmp = 0 if phi1 <= -6.5e-5: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (-0.5 + (0.5 * (1.0 - t_1)))))), math.sqrt((((t_0 * t_2) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_3))))))) elif phi1 <= 1.2e-29: tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_3), 2.0) + (t_5 * (t_0 * t_5)))), math.sqrt((((math.cos(phi2) * 0.5) * t_2) + math.pow(math.cos((phi2 * -0.5)), 2.0))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((-0.5 * t_6) + (0.5 * (t_0 * (1.0 - t_4)))))), math.sqrt((0.5 + (0.5 * (t_6 + (t_0 * (-1.0 + t_4))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(t_1 + -1.0) t_3 = Float64(Float64(phi1 - phi2) / 2.0) t_4 = cos(Float64(lambda2 - lambda1)) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = cos(Float64(phi1 - phi2)) tmp = 0.0 if (phi1 <= -6.5e-5) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(-0.5 + Float64(0.5 * Float64(1.0 - t_1)))))), sqrt(Float64(Float64(Float64(t_0 * t_2) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_3)))))))); elseif (phi1 <= 1.2e-29) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_3) ^ 2.0) + Float64(t_5 * Float64(t_0 * t_5)))), sqrt(Float64(Float64(Float64(cos(phi2) * 0.5) * t_2) + (cos(Float64(phi2 * -0.5)) ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(-0.5 * t_6) + Float64(0.5 * Float64(t_0 * Float64(1.0 - t_4)))))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_6 + Float64(t_0 * Float64(-1.0 + t_4)))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = t_1 + -1.0; t_3 = (phi1 - phi2) / 2.0; t_4 = cos((lambda2 - lambda1)); t_5 = sin(((lambda1 - lambda2) / 2.0)); t_6 = cos((phi1 - phi2)); tmp = 0.0; if (phi1 <= -6.5e-5) tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * (1.0 - t_1)))))), sqrt((((t_0 * t_2) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3))))))); elseif (phi1 <= 1.2e-29) tmp = R * (2.0 * atan2(sqrt(((sin(t_3) ^ 2.0) + (t_5 * (t_0 * t_5)))), sqrt((((cos(phi2) * 0.5) * t_2) + (cos((phi2 * -0.5)) ^ 2.0))))); else tmp = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_6) + (0.5 * (t_0 * (1.0 - t_4)))))), sqrt((0.5 + (0.5 * (t_6 + (t_0 * (-1.0 + t_4))))))); 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[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + -1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -6.5e-5], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 + N[(0.5 * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$2), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.2e-29], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$5 * N[(t$95$0 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision] * t$95$2), $MachinePrecision] + N[Power[N[Cos[N[(phi2 * -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[(-0.5 * t$95$6), $MachinePrecision] + N[(0.5 * N[(t$95$0 * N[(1.0 - t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$6 + N[(t$95$0 * N[(-1.0 + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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 := t\_1 + -1\\
t_3 := \frac{\phi_1 - \phi_2}{2}\\
t_4 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;\phi_1 \leq -6.5 \cdot 10^{-5}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(-0.5 + 0.5 \cdot \left(1 - t\_1\right)\right)}}{\sqrt{\frac{t\_0 \cdot t\_2}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right)}}\\
\mathbf{elif}\;\phi_1 \leq 1.2 \cdot 10^{-29}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_3}^{2} + t\_5 \cdot \left(t\_0 \cdot t\_5\right)}}{\sqrt{\left(\cos \phi_2 \cdot 0.5\right) \cdot t\_2 + {\cos \left(\phi_2 \cdot -0.5\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(-0.5 \cdot t\_6 + 0.5 \cdot \left(t\_0 \cdot \left(1 - t\_4\right)\right)\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_6 + t\_0 \cdot \left(-1 + t\_4\right)\right)}}\\
\end{array}
\end{array}
if phi1 < -6.49999999999999943e-5Initial program 43.7%
Applied egg-rr43.9%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.0%
Simplified45.0%
+-commutativeN/A
+-lowering-+.f64N/A
associate-*l*N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6445.0%
Applied egg-rr45.0%
if -6.49999999999999943e-5 < phi1 < 1.19999999999999996e-29Initial program 80.7%
Applied egg-rr80.8%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-commutativeN/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
pow-lowering-pow.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6480.7%
Simplified80.7%
if 1.19999999999999996e-29 < phi1 Initial program 42.8%
Applied egg-rr42.9%
Taylor expanded in lambda1 around -inf
Simplified42.9%
Final simplification62.0%
(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
(+
(/ (* t_1 (+ (cos (- lambda1 lambda2)) -1.0)) 2.0)
(+ 0.5 (* 0.5 (cos (* 2.0 t_2)))))))))))
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((((t_1 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_2))))))));
}
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((((t_1 * (cos((lambda1 - lambda2)) + (-1.0d0))) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_2))))))))
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((((t_1 * (Math.cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_2))))))));
}
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((((t_1 * (math.cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_2))))))))
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(Float64(t_1 * Float64(cos(Float64(lambda1 - lambda2)) + -1.0)) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2))))))))) 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((((t_1 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_2)))))))); 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[(N[(t$95$1 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $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\\
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{\frac{t\_1 \cdot \left(\cos \left(\lambda_1 - \lambda_2\right) + -1\right)}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.7%
Applied egg-rr61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (cos phi1) (cos phi2)))
(t_3 (* t_2 (- 1.0 t_0)))
(t_4 (/ (- phi1 phi2) 2.0))
(t_5 (* 0.5 (cos (* 2.0 t_4))))
(t_6 (sqrt (+ (/ (* t_2 (+ t_0 -1.0)) 2.0) (+ 0.5 t_5)))))
(if (<= (- lambda1 lambda2) -1e-20)
(*
(* 2.0 R)
(atan2
(exp (* 0.5 (log (- 0.5 (* 0.5 (- (cos (- phi1 phi2)) t_3))))))
t_6))
(if (<= (- lambda1 lambda2) 1e-15)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_4) 2.0) (* t_1 (* t_2 t_1))))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(* (* 2.0 R) (atan2 (sqrt (+ (/ t_3 2.0) (- 0.5 t_5))) t_6))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos(phi1) * cos(phi2);
double t_3 = t_2 * (1.0 - t_0);
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = 0.5 * cos((2.0 * t_4));
double t_6 = sqrt((((t_2 * (t_0 + -1.0)) / 2.0) + (0.5 + t_5)));
double tmp;
if ((lambda1 - lambda2) <= -1e-20) {
tmp = (2.0 * R) * atan2(exp((0.5 * log((0.5 - (0.5 * (cos((phi1 - phi2)) - t_3)))))), t_6);
} else if ((lambda1 - lambda2) <= 1e-15) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(t_4), 2.0) + (t_1 * (t_2 * t_1)))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((t_3 / 2.0) + (0.5 - t_5))), t_6);
}
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) :: t_6
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos(phi1) * cos(phi2)
t_3 = t_2 * (1.0d0 - t_0)
t_4 = (phi1 - phi2) / 2.0d0
t_5 = 0.5d0 * cos((2.0d0 * t_4))
t_6 = sqrt((((t_2 * (t_0 + (-1.0d0))) / 2.0d0) + (0.5d0 + t_5)))
if ((lambda1 - lambda2) <= (-1d-20)) then
tmp = (2.0d0 * r) * atan2(exp((0.5d0 * log((0.5d0 - (0.5d0 * (cos((phi1 - phi2)) - t_3)))))), t_6)
else if ((lambda1 - lambda2) <= 1d-15) then
tmp = r * (2.0d0 * atan2(sqrt(((sin(t_4) ** 2.0d0) + (t_1 * (t_2 * t_1)))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((t_3 / 2.0d0) + (0.5d0 - t_5))), t_6)
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 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.cos(phi1) * Math.cos(phi2);
double t_3 = t_2 * (1.0 - t_0);
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = 0.5 * Math.cos((2.0 * t_4));
double t_6 = Math.sqrt((((t_2 * (t_0 + -1.0)) / 2.0) + (0.5 + t_5)));
double tmp;
if ((lambda1 - lambda2) <= -1e-20) {
tmp = (2.0 * R) * Math.atan2(Math.exp((0.5 * Math.log((0.5 - (0.5 * (Math.cos((phi1 - phi2)) - t_3)))))), t_6);
} else if ((lambda1 - lambda2) <= 1e-15) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_4), 2.0) + (t_1 * (t_2 * t_1)))), 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 - t_5))), t_6);
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.cos(phi1) * math.cos(phi2) t_3 = t_2 * (1.0 - t_0) t_4 = (phi1 - phi2) / 2.0 t_5 = 0.5 * math.cos((2.0 * t_4)) t_6 = math.sqrt((((t_2 * (t_0 + -1.0)) / 2.0) + (0.5 + t_5))) tmp = 0 if (lambda1 - lambda2) <= -1e-20: tmp = (2.0 * R) * math.atan2(math.exp((0.5 * math.log((0.5 - (0.5 * (math.cos((phi1 - phi2)) - t_3)))))), t_6) elif (lambda1 - lambda2) <= 1e-15: tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_4), 2.0) + (t_1 * (t_2 * t_1)))), 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 - t_5))), t_6) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = Float64(t_2 * Float64(1.0 - t_0)) t_4 = Float64(Float64(phi1 - phi2) / 2.0) t_5 = Float64(0.5 * cos(Float64(2.0 * t_4))) t_6 = sqrt(Float64(Float64(Float64(t_2 * Float64(t_0 + -1.0)) / 2.0) + Float64(0.5 + t_5))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -1e-20) tmp = Float64(Float64(2.0 * R) * atan(exp(Float64(0.5 * log(Float64(0.5 - Float64(0.5 * Float64(cos(Float64(phi1 - phi2)) - t_3)))))), t_6)); elseif (Float64(lambda1 - lambda2) <= 1e-15) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_4) ^ 2.0) + Float64(t_1 * Float64(t_2 * t_1)))), 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 - t_5))), t_6)); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = cos(phi1) * cos(phi2); t_3 = t_2 * (1.0 - t_0); t_4 = (phi1 - phi2) / 2.0; t_5 = 0.5 * cos((2.0 * t_4)); t_6 = sqrt((((t_2 * (t_0 + -1.0)) / 2.0) + (0.5 + t_5))); tmp = 0.0; if ((lambda1 - lambda2) <= -1e-20) tmp = (2.0 * R) * atan2(exp((0.5 * log((0.5 - (0.5 * (cos((phi1 - phi2)) - t_3)))))), t_6); elseif ((lambda1 - lambda2) <= 1e-15) tmp = R * (2.0 * atan2(sqrt(((sin(t_4) ^ 2.0) + (t_1 * (t_2 * t_1)))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0))))); else tmp = (2.0 * R) * atan2(sqrt(((t_3 / 2.0) + (0.5 - t_5))), t_6); 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[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 - t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$5 = N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(N[(N[(t$95$2 * N[(t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -1e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Exp[N[(0.5 * N[Log[N[(0.5 - N[(0.5 * N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$2 * t$95$1), $MachinePrecision]), $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]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$3 / 2.0), $MachinePrecision] + N[(0.5 - t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_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 - t\_0\right)\\
t_4 := \frac{\phi_1 - \phi_2}{2}\\
t_5 := 0.5 \cdot \cos \left(2 \cdot t\_4\right)\\
t_6 := \sqrt{\frac{t\_2 \cdot \left(t\_0 + -1\right)}{2} + \left(0.5 + t\_5\right)}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -1 \cdot 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{e^{0.5 \cdot \log \left(0.5 - 0.5 \cdot \left(\cos \left(\phi_1 - \phi_2\right) - t\_3\right)\right)}}{t\_6}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_4}^{2} + t\_1 \cdot \left(t\_2 \cdot t\_1\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\frac{t\_3}{2} + \left(0.5 - t\_5\right)}}{t\_6}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -9.99999999999999945e-21Initial program 57.2%
Applied egg-rr57.3%
pow1/2N/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
Applied egg-rr57.4%
if -9.99999999999999945e-21 < (-.f64 lambda1 lambda2) < 1.0000000000000001e-15Initial program 81.2%
Taylor expanded in lambda2 around 0
--lowering--.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
Simplified81.2%
Taylor expanded in lambda1 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6481.2%
Simplified81.2%
if 1.0000000000000001e-15 < (-.f64 lambda1 lambda2) Initial program 55.7%
Applied egg-rr55.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (/ (- phi1 phi2) 2.0))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (* 0.5 (cos (* 2.0 t_1))))
(t_4 (* (cos phi1) (cos phi2)))
(t_5 (cos (- phi1 phi2)))
(t_6 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= (- lambda1 lambda2) -1e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* -0.5 t_5) (* 0.5 (* t_4 (- 1.0 t_0))))))
(sqrt (+ 0.5 (* 0.5 (+ t_5 (* t_4 (+ -1.0 t_0))))))))
(if (<= (- lambda1 lambda2) 1e-15)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* t_6 (* t_4 t_6))))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (/ (* t_4 (- 1.0 t_2)) 2.0) (- 0.5 t_3)))
(sqrt (+ (/ (* t_4 (+ t_2 -1.0)) 2.0) (+ 0.5 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda2 - lambda1));
double t_1 = (phi1 - phi2) / 2.0;
double t_2 = cos((lambda1 - lambda2));
double t_3 = 0.5 * cos((2.0 * t_1));
double t_4 = cos(phi1) * cos(phi2);
double t_5 = cos((phi1 - phi2));
double t_6 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((lambda1 - lambda2) <= -1e-20) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_5) + (0.5 * (t_4 * (1.0 - t_0)))))), sqrt((0.5 + (0.5 * (t_5 + (t_4 * (-1.0 + t_0)))))));
} else if ((lambda1 - lambda2) <= 1e-15) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (t_6 * (t_4 * t_6)))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt((((t_4 * (1.0 - t_2)) / 2.0) + (0.5 - t_3))), sqrt((((t_4 * (t_2 + -1.0)) / 2.0) + (0.5 + 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) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_0 = cos((lambda2 - lambda1))
t_1 = (phi1 - phi2) / 2.0d0
t_2 = cos((lambda1 - lambda2))
t_3 = 0.5d0 * cos((2.0d0 * t_1))
t_4 = cos(phi1) * cos(phi2)
t_5 = cos((phi1 - phi2))
t_6 = sin(((lambda1 - lambda2) / 2.0d0))
if ((lambda1 - lambda2) <= (-1d-20)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((-0.5d0) * t_5) + (0.5d0 * (t_4 * (1.0d0 - t_0)))))), sqrt((0.5d0 + (0.5d0 * (t_5 + (t_4 * ((-1.0d0) + t_0)))))))
else if ((lambda1 - lambda2) <= 1d-15) then
tmp = r * (2.0d0 * atan2(sqrt(((sin(t_1) ** 2.0d0) + (t_6 * (t_4 * t_6)))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)))))
else
tmp = (2.0d0 * r) * atan2(sqrt((((t_4 * (1.0d0 - t_2)) / 2.0d0) + (0.5d0 - t_3))), sqrt((((t_4 * (t_2 + (-1.0d0))) / 2.0d0) + (0.5d0 + 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.cos((lambda2 - lambda1));
double t_1 = (phi1 - phi2) / 2.0;
double t_2 = Math.cos((lambda1 - lambda2));
double t_3 = 0.5 * Math.cos((2.0 * t_1));
double t_4 = Math.cos(phi1) * Math.cos(phi2);
double t_5 = Math.cos((phi1 - phi2));
double t_6 = Math.sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((lambda1 - lambda2) <= -1e-20) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((-0.5 * t_5) + (0.5 * (t_4 * (1.0 - t_0)))))), Math.sqrt((0.5 + (0.5 * (t_5 + (t_4 * (-1.0 + t_0)))))));
} else if ((lambda1 - lambda2) <= 1e-15) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + (t_6 * (t_4 * t_6)))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((((t_4 * (1.0 - t_2)) / 2.0) + (0.5 - t_3))), Math.sqrt((((t_4 * (t_2 + -1.0)) / 2.0) + (0.5 + t_3))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda2 - lambda1)) t_1 = (phi1 - phi2) / 2.0 t_2 = math.cos((lambda1 - lambda2)) t_3 = 0.5 * math.cos((2.0 * t_1)) t_4 = math.cos(phi1) * math.cos(phi2) t_5 = math.cos((phi1 - phi2)) t_6 = math.sin(((lambda1 - lambda2) / 2.0)) tmp = 0 if (lambda1 - lambda2) <= -1e-20: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((-0.5 * t_5) + (0.5 * (t_4 * (1.0 - t_0)))))), math.sqrt((0.5 + (0.5 * (t_5 + (t_4 * (-1.0 + t_0))))))) elif (lambda1 - lambda2) <= 1e-15: tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + (t_6 * (t_4 * t_6)))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt((((t_4 * (1.0 - t_2)) / 2.0) + (0.5 - t_3))), math.sqrt((((t_4 * (t_2 + -1.0)) / 2.0) + (0.5 + t_3)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda2 - lambda1)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = Float64(0.5 * cos(Float64(2.0 * t_1))) t_4 = Float64(cos(phi1) * cos(phi2)) t_5 = cos(Float64(phi1 - phi2)) t_6 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -1e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(-0.5 * t_5) + Float64(0.5 * Float64(t_4 * Float64(1.0 - t_0)))))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_5 + Float64(t_4 * Float64(-1.0 + t_0)))))))); elseif (Float64(lambda1 - lambda2) <= 1e-15) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(t_6 * Float64(t_4 * t_6)))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(t_4 * Float64(1.0 - t_2)) / 2.0) + Float64(0.5 - t_3))), sqrt(Float64(Float64(Float64(t_4 * Float64(t_2 + -1.0)) / 2.0) + Float64(0.5 + t_3))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda2 - lambda1)); t_1 = (phi1 - phi2) / 2.0; t_2 = cos((lambda1 - lambda2)); t_3 = 0.5 * cos((2.0 * t_1)); t_4 = cos(phi1) * cos(phi2); t_5 = cos((phi1 - phi2)); t_6 = sin(((lambda1 - lambda2) / 2.0)); tmp = 0.0; if ((lambda1 - lambda2) <= -1e-20) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_5) + (0.5 * (t_4 * (1.0 - t_0)))))), sqrt((0.5 + (0.5 * (t_5 + (t_4 * (-1.0 + t_0))))))); elseif ((lambda1 - lambda2) <= 1e-15) tmp = R * (2.0 * atan2(sqrt(((sin(t_1) ^ 2.0) + (t_6 * (t_4 * t_6)))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0))))); else tmp = (2.0 * R) * atan2(sqrt((((t_4 * (1.0 - t_2)) / 2.0) + (0.5 - t_3))), sqrt((((t_4 * (t_2 + -1.0)) / 2.0) + (0.5 + t_3)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -1e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(-0.5 * t$95$5), $MachinePrecision] + N[(0.5 * N[(t$95$4 * N[(1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$5 + N[(t$95$4 * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$6 * N[(t$95$4 * t$95$6), $MachinePrecision]), $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]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(t$95$4 * N[(1.0 - t$95$2), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$4 * N[(t$95$2 + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_1\right)\\
t_4 := \cos \phi_1 \cdot \cos \phi_2\\
t_5 := \cos \left(\phi_1 - \phi_2\right)\\
t_6 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -1 \cdot 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(-0.5 \cdot t\_5 + 0.5 \cdot \left(t\_4 \cdot \left(1 - t\_0\right)\right)\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_5 + t\_4 \cdot \left(-1 + t\_0\right)\right)}}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-15}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + t\_6 \cdot \left(t\_4 \cdot t\_6\right)}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\frac{t\_4 \cdot \left(1 - t\_2\right)}{2} + \left(0.5 - t\_3\right)}}{\sqrt{\frac{t\_4 \cdot \left(t\_2 + -1\right)}{2} + \left(0.5 + t\_3\right)}}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -9.99999999999999945e-21Initial program 57.2%
Applied egg-rr57.3%
Taylor expanded in lambda1 around -inf
Simplified57.4%
if -9.99999999999999945e-21 < (-.f64 lambda1 lambda2) < 1.0000000000000001e-15Initial program 81.2%
Taylor expanded in lambda2 around 0
--lowering--.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
Simplified81.2%
Taylor expanded in lambda1 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6481.2%
Simplified81.2%
if 1.0000000000000001e-15 < (-.f64 lambda1 lambda2) Initial program 55.7%
Applied egg-rr55.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 1.0 t_0))
(t_2 (* (* (cos phi1) (cos phi2)) (+ t_0 -1.0)))
(t_3
(sqrt
(+
(/ t_2 2.0)
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))))
(if (<= phi1 -6.4e-6)
(*
(* 2.0 R)
(atan2 (sqrt (+ 0.5 (* (cos phi1) (+ -0.5 (* 0.5 t_1))))) t_3))
(if (<= phi1 3.15e-12)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_1 (* (cos phi2) 0.5)) (* (cos phi2) -0.5))))
t_3))
(*
(* 2.0 R)
(atan2
(sqrt (+ (* (* (cos phi1) 0.5) t_1) (+ 0.5 (* (cos phi1) -0.5))))
(sqrt (+ 0.5 (* 0.5 (+ (cos (- phi2 phi1)) t_2))))))))))
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 = (cos(phi1) * cos(phi2)) * (t_0 + -1.0);
double t_3 = sqrt(((t_2 / 2.0) + (0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)))))));
double tmp;
if (phi1 <= -6.4e-6) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * t_1))))), t_3);
} else if (phi1 <= 3.15e-12) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (cos(phi2) * 0.5)) + (cos(phi2) * -0.5)))), t_3);
} else {
tmp = (2.0 * R) * atan2(sqrt((((cos(phi1) * 0.5) * t_1) + (0.5 + (cos(phi1) * -0.5)))), sqrt((0.5 + (0.5 * (cos((phi2 - phi1)) + t_2)))));
}
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 = cos((lambda1 - lambda2))
t_1 = 1.0d0 - t_0
t_2 = (cos(phi1) * cos(phi2)) * (t_0 + (-1.0d0))
t_3 = sqrt(((t_2 / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))))))
if (phi1 <= (-6.4d-6)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + (cos(phi1) * ((-0.5d0) + (0.5d0 * t_1))))), t_3)
else if (phi1 <= 3.15d-12) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_1 * (cos(phi2) * 0.5d0)) + (cos(phi2) * (-0.5d0))))), t_3)
else
tmp = (2.0d0 * r) * atan2(sqrt((((cos(phi1) * 0.5d0) * t_1) + (0.5d0 + (cos(phi1) * (-0.5d0))))), sqrt((0.5d0 + (0.5d0 * (cos((phi2 - phi1)) + t_2)))))
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.cos(phi1) * Math.cos(phi2)) * (t_0 + -1.0);
double t_3 = Math.sqrt(((t_2 / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)))))));
double tmp;
if (phi1 <= -6.4e-6) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (-0.5 + (0.5 * t_1))))), t_3);
} else if (phi1 <= 3.15e-12) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_1 * (Math.cos(phi2) * 0.5)) + (Math.cos(phi2) * -0.5)))), t_3);
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((((Math.cos(phi1) * 0.5) * t_1) + (0.5 + (Math.cos(phi1) * -0.5)))), Math.sqrt((0.5 + (0.5 * (Math.cos((phi2 - phi1)) + t_2)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 1.0 - t_0 t_2 = (math.cos(phi1) * math.cos(phi2)) * (t_0 + -1.0) t_3 = math.sqrt(((t_2 / 2.0) + (0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))) tmp = 0 if phi1 <= -6.4e-6: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (-0.5 + (0.5 * t_1))))), t_3) elif phi1 <= 3.15e-12: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_1 * (math.cos(phi2) * 0.5)) + (math.cos(phi2) * -0.5)))), t_3) else: tmp = (2.0 * R) * math.atan2(math.sqrt((((math.cos(phi1) * 0.5) * t_1) + (0.5 + (math.cos(phi1) * -0.5)))), math.sqrt((0.5 + (0.5 * (math.cos((phi2 - phi1)) + t_2))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(1.0 - t_0) t_2 = Float64(Float64(cos(phi1) * cos(phi2)) * Float64(t_0 + -1.0)) t_3 = sqrt(Float64(Float64(t_2 / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))) tmp = 0.0 if (phi1 <= -6.4e-6) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(-0.5 + Float64(0.5 * t_1))))), t_3)); elseif (phi1 <= 3.15e-12) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_1 * Float64(cos(phi2) * 0.5)) + Float64(cos(phi2) * -0.5)))), t_3)); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(cos(phi1) * 0.5) * t_1) + Float64(0.5 + Float64(cos(phi1) * -0.5)))), sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(Float64(phi2 - phi1)) + t_2)))))); 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 = (cos(phi1) * cos(phi2)) * (t_0 + -1.0); t_3 = sqrt(((t_2 / 2.0) + (0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))); tmp = 0.0; if (phi1 <= -6.4e-6) tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * t_1))))), t_3); elseif (phi1 <= 3.15e-12) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (cos(phi2) * 0.5)) + (cos(phi2) * -0.5)))), t_3); else tmp = (2.0 * R) * atan2(sqrt((((cos(phi1) * 0.5) * t_1) + (0.5 + (cos(phi1) * -0.5)))), sqrt((0.5 + (0.5 * (cos((phi2 - phi1)) + t_2))))); 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[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[(t$95$2 / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -6.4e-6], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 + N[(0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3.15e-12], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$1 * N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision] * t$95$1), $MachinePrecision] + N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 1 - t\_0\\
t_2 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(t\_0 + -1\right)\\
t_3 := \sqrt{\frac{t\_2}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}\\
\mathbf{if}\;\phi_1 \leq -6.4 \cdot 10^{-6}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(-0.5 + 0.5 \cdot t\_1\right)}}{t\_3}\\
\mathbf{elif}\;\phi_1 \leq 3.15 \cdot 10^{-12}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_1 \cdot \left(\cos \phi_2 \cdot 0.5\right) + \cos \phi_2 \cdot -0.5\right)}}{t\_3}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(\cos \phi_1 \cdot 0.5\right) \cdot t\_1 + \left(0.5 + \cos \phi_1 \cdot -0.5\right)}}{\sqrt{0.5 + 0.5 \cdot \left(\cos \left(\phi_2 - \phi_1\right) + t\_2\right)}}\\
\end{array}
\end{array}
if phi1 < -6.3999999999999997e-6Initial program 43.7%
Applied egg-rr43.9%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.0%
Simplified45.0%
+-commutativeN/A
+-lowering-+.f64N/A
associate-*l*N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6445.0%
Applied egg-rr45.0%
if -6.3999999999999997e-6 < phi1 < 3.1500000000000001e-12Initial program 79.1%
Applied egg-rr65.5%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
Simplified65.5%
if 3.1500000000000001e-12 < phi1 Initial program 42.4%
Applied egg-rr42.6%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6442.4%
Simplified42.4%
Taylor expanded in phi1 around -inf
Simplified42.5%
Final simplification55.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 1.0 (cos (- lambda1 lambda2)))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (+ -0.5 (* 0.5 t_0)))))
(sqrt
(+
0.5
(* 0.5 (- (cos (- phi1 phi2)) (* (* (cos phi1) (cos phi2)) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 1.0 - cos((lambda1 - lambda2));
return (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * t_0))))), sqrt((0.5 + (0.5 * (cos((phi1 - phi2)) - ((cos(phi1) * cos(phi2)) * t_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
t_0 = 1.0d0 - cos((lambda1 - lambda2))
code = (2.0d0 * r) * atan2(sqrt((0.5d0 + (cos(phi1) * ((-0.5d0) + (0.5d0 * t_0))))), sqrt((0.5d0 + (0.5d0 * (cos((phi1 - phi2)) - ((cos(phi1) * cos(phi2)) * t_0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 1.0 - Math.cos((lambda1 - lambda2));
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (-0.5 + (0.5 * t_0))))), Math.sqrt((0.5 + (0.5 * (Math.cos((phi1 - phi2)) - ((Math.cos(phi1) * Math.cos(phi2)) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 1.0 - math.cos((lambda1 - lambda2)) return (2.0 * R) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (-0.5 + (0.5 * t_0))))), math.sqrt((0.5 + (0.5 * (math.cos((phi1 - phi2)) - ((math.cos(phi1) * math.cos(phi2)) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(1.0 - cos(Float64(lambda1 - lambda2))) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(-0.5 + Float64(0.5 * t_0))))), sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(Float64(phi1 - phi2)) - Float64(Float64(cos(phi1) * cos(phi2)) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 1.0 - cos((lambda1 - lambda2)); tmp = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 + (0.5 * t_0))))), sqrt((0.5 + (0.5 * (cos((phi1 - phi2)) - ((cos(phi1) * cos(phi2)) * t_0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(1.0 - N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 + N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 - \cos \left(\lambda_1 - \lambda_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(-0.5 + 0.5 \cdot t\_0\right)}}{\sqrt{0.5 + 0.5 \cdot \left(\cos \left(\phi_1 - \phi_2\right) - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)}}
\end{array}
\end{array}
Initial program 61.7%
Applied egg-rr54.7%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6441.4%
Simplified41.4%
Applied egg-rr41.4%
Final simplification41.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* 2.0 R)
(atan2
(sqrt (* 0.5 (- 1.0 t_0)))
(sqrt (+ 0.5 (* 0.5 (+ (cos phi1) (* (cos phi1) (+ t_0 -1.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
return (2.0 * R) * atan2(sqrt((0.5 * (1.0 - t_0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * (t_0 + -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
real(8) :: t_0
t_0 = cos((lambda1 - lambda2))
code = (2.0d0 * r) * atan2(sqrt((0.5d0 * (1.0d0 - t_0))), sqrt((0.5d0 + (0.5d0 * (cos(phi1) + (cos(phi1) * (t_0 + (-1.0d0))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 * (1.0 - t_0))), Math.sqrt((0.5 + (0.5 * (Math.cos(phi1) + (Math.cos(phi1) * (t_0 + -1.0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) return (2.0 * R) * math.atan2(math.sqrt((0.5 * (1.0 - t_0))), math.sqrt((0.5 + (0.5 * (math.cos(phi1) + (math.cos(phi1) * (t_0 + -1.0)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 * Float64(1.0 - t_0))), sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(phi1) + Float64(cos(phi1) * Float64(t_0 + -1.0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); tmp = (2.0 * R) * atan2(sqrt((0.5 * (1.0 - t_0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * (t_0 + -1.0))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 * N[(1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 \cdot \left(1 - t\_0\right)}}{\sqrt{0.5 + 0.5 \cdot \left(\cos \phi_1 + \cos \phi_1 \cdot \left(t\_0 + -1\right)\right)}}
\end{array}
\end{array}
Initial program 61.7%
Applied egg-rr54.7%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6441.4%
Simplified41.4%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6428.5%
Simplified28.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.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--.f6428.8%
Simplified28.8%
Final simplification28.8%
herbie shell --seed 2024150
(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))))))))))