
(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 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (/ phi1 2.0)))
(t_1 (* (sin (/ phi1 2.0)) (cos (/ phi2 2.0))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_2 (* (* (cos phi1) (cos phi2)) t_2))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (pow (- t_1 (* t_0 (sin (/ phi2 2.0)))) 2.0)))
(sqrt (- 1.0 (+ t_3 (pow (fma (sin (/ phi2 -2.0)) t_0 t_1) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 / 2.0));
double t_1 = sin((phi1 / 2.0)) * cos((phi2 / 2.0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((cos(phi1) * cos(phi2)) * t_2);
return R * (2.0 * atan2(sqrt((t_3 + pow((t_1 - (t_0 * sin((phi2 / 2.0)))), 2.0))), sqrt((1.0 - (t_3 + pow(fma(sin((phi2 / -2.0)), t_0, t_1), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 / 2.0)) t_1 = Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + (Float64(t_1 - Float64(t_0 * sin(Float64(phi2 / 2.0)))) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_3 + (fma(sin(Float64(phi2 / -2.0)), t_0, t_1) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[Power[N[(t$95$1 - N[(t$95$0 * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 + N[Power[N[(N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\frac{\phi_1}{2}\right)\\
t_1 := \sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + {\left(t\_1 - t\_0 \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}}}{\sqrt{1 - \left(t\_3 + {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{-2}\right), t\_0, t\_1\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.9%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6463.8%
Applied egg-rr63.8%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-negN/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-/.f6477.0%
Applied egg-rr77.0%
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
distribute-neg-frac2N/A
/-lowering-/.f64N/A
metadata-evalN/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-negN/A
cos-lowering-cos.f64N/A
/-lowering-/.f6477.0%
Applied egg-rr77.0%
Final simplification77.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))))
(* 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 = (t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
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 = (t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0)
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 = (t_0 * ((Math.cos(phi1) * Math.cos(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);
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 = (t_0 * ((math.cos(phi1) * math.cos(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) 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(Float64(t_0 * Float64(Float64(cos(phi1) * cos(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)) 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 = (t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0); 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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $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]}, 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 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\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}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 62.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.8%
Applied egg-rr63.8%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-negN/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-/.f6477.0%
Applied egg-rr77.0%
Final simplification77.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(+
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5)))
(* (sin (* phi1 0.5)) (cos (* phi2 0.5))))
2.0))
(t_1
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))
(* (atan2 (sqrt (+ t_0 t_1)) (sqrt (- (- 1.0 t_1) t_0))) (* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))), 2.0);
double t_1 = (cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
return atan2(sqrt((t_0 + t_1)), sqrt(((1.0 - t_1) - t_0))) * (R * 2.0);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = ((cos((phi1 * 0.5d0)) * sin((phi2 * (-0.5d0)))) + (sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0)))) ** 2.0d0
t_1 = (cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
code = atan2(sqrt((t_0 + t_1)), sqrt(((1.0d0 - t_1) - t_0))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi1 * 0.5)) * Math.sin((phi2 * -0.5))) + (Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5)))), 2.0);
double t_1 = (Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
return Math.atan2(Math.sqrt((t_0 + t_1)), Math.sqrt(((1.0 - t_1) - t_0))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi1 * 0.5)) * math.sin((phi2 * -0.5))) + (math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5)))), 2.0) t_1 = (math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) return math.atan2(math.sqrt((t_0 + t_1)), math.sqrt(((1.0 - t_1) - t_0))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5))) + Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5)))) ^ 2.0 t_1 = Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) return Float64(atan(sqrt(Float64(t_0 + t_1)), sqrt(Float64(Float64(1.0 - t_1) - t_0))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))) ^ 2.0; t_1 = (cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); tmp = atan2(sqrt((t_0 + t_1)), sqrt(((1.0 - t_1) - t_0))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right) + \sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_1 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
\tan^{-1}_* \frac{\sqrt{t\_0 + t\_1}}{\sqrt{\left(1 - t\_1\right) - t\_0}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 62.9%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6463.8%
Applied egg-rr63.8%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-negN/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-/.f6477.0%
Applied egg-rr77.0%
Taylor expanded in lambda1 around -inf
Simplified77.0%
Final simplification77.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))
(*
(atan2
(sqrt (+ t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt
(-
(- 1.0 t_0)
(pow
(+
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5)))
(* (sin (* phi1 0.5)) (cos (* phi2 0.5))))
2.0))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
return atan2(sqrt((t_0 + pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt(((1.0 - t_0) - pow(((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))), 2.0)))) * (R * 2.0);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = (cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
code = atan2(sqrt((t_0 + (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))), sqrt(((1.0d0 - t_0) - (((cos((phi1 * 0.5d0)) * sin((phi2 * (-0.5d0)))) + (sin((phi1 * 0.5d0)) * cos((phi2 * 0.5d0)))) ** 2.0d0)))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
return Math.atan2(Math.sqrt((t_0 + Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))), Math.sqrt(((1.0 - t_0) - Math.pow(((Math.cos((phi1 * 0.5)) * Math.sin((phi2 * -0.5))) + (Math.sin((phi1 * 0.5)) * Math.cos((phi2 * 0.5)))), 2.0)))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) return math.atan2(math.sqrt((t_0 + math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))), math.sqrt(((1.0 - t_0) - math.pow(((math.cos((phi1 * 0.5)) * math.sin((phi2 * -0.5))) + (math.sin((phi1 * 0.5)) * math.cos((phi2 * 0.5)))), 2.0)))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) return Float64(atan(sqrt(Float64(t_0 + (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(Float64(1.0 - t_0) - (Float64(Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5))) + Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(phi2 * 0.5)))) ^ 2.0)))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); tmp = atan2(sqrt((t_0 + (sin((0.5 * (phi1 - phi2))) ^ 2.0))), sqrt(((1.0 - t_0) - (((cos((phi1 * 0.5)) * sin((phi2 * -0.5))) + (sin((phi1 * 0.5)) * cos((phi2 * 0.5)))) ^ 2.0)))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$0 + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$0), $MachinePrecision] - N[Power[N[(N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
\tan^{-1}_* \frac{\sqrt{t\_0 + {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{\left(1 - t\_0\right) - {\left(\cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right) + \sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(\phi_2 \cdot 0.5\right)\right)}^{2}}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 62.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.8%
Applied egg-rr63.8%
Taylor expanded in lambda1 around -inf
Simplified63.9%
Final simplification63.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi1)
(* (cos phi2) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))))))
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));
return R * (2.0 * Math.atan2(Math.sqrt(((t_0 * ((Math.cos(phi1) * Math.cos(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))), Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) - (Math.cos(phi1) * (Math.cos(phi2) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_0 * ((math.cos(phi1) * math.cos(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))), math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) - (math.cos(phi1) * (math.cos(phi2) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(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))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $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] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $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)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\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}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.9%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6463.8%
Applied egg-rr63.8%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-negN/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-/.f6477.0%
Applied egg-rr77.0%
Applied egg-rr63.8%
Final simplification63.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (/ (- phi1 phi2) 2.0))
(t_2 (/ (- lambda1 lambda2) 2.0))
(t_3 (sin t_2))
(t_4 (cos t_1)))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_3 (* t_0 t_3)) (pow (sin t_1) 2.0)))
(sqrt (fma t_4 t_4 (* t_0 (- (* 0.5 (cos (* 2.0 t_2))) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = (phi1 - phi2) / 2.0;
double t_2 = (lambda1 - lambda2) / 2.0;
double t_3 = sin(t_2);
double t_4 = cos(t_1);
return R * (2.0 * atan2(sqrt(((t_3 * (t_0 * t_3)) + pow(sin(t_1), 2.0))), sqrt(fma(t_4, t_4, (t_0 * ((0.5 * cos((2.0 * t_2))) - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) t_2 = Float64(Float64(lambda1 - lambda2) / 2.0) t_3 = sin(t_2) t_4 = cos(t_1) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_3 * Float64(t_0 * t_3)) + (sin(t_1) ^ 2.0))), sqrt(fma(t_4, t_4, Float64(t_0 * Float64(Float64(0.5 * cos(Float64(2.0 * t_2))) - 0.5))))))) 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[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[Sin[t$95$2], $MachinePrecision]}, Block[{t$95$4 = N[Cos[t$95$1], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$3 * N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 * t$95$4 + N[(t$95$0 * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
t_2 := \frac{\lambda_1 - \lambda_2}{2}\\
t_3 := \sin t\_2\\
t_4 := \cos t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 \cdot \left(t\_0 \cdot t\_3\right) + {\sin t\_1}^{2}}}{\sqrt{\mathsf{fma}\left(t\_4, t\_4, t\_0 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_2\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.9%
associate--r+N/A
associate-*l*N/A
cancel-sign-sub-invN/A
unpow2N/A
1-sub-sinN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr63.1%
Final simplification63.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- phi1 phi2) 2.0))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1)))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_2 (* (* (cos phi1) (cos phi2)) t_2)) (pow (sin t_0) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_0))))
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 t_1))) 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
return R * (2.0 * atan2(sqrt(((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + pow(sin(t_0), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_0)))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_1))) - 0.5)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = (phi1 - phi2) / 2.0d0
t_1 = (lambda1 - lambda2) / 2.0d0
t_2 = sin(t_1)
code = r * (2.0d0 * atan2(sqrt(((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + (sin(t_0) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_0)))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * t_1))) - 0.5d0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = Math.sin(t_1);
return R * (2.0 * Math.atan2(Math.sqrt(((t_2 * ((Math.cos(phi1) * Math.cos(phi2)) * t_2)) + Math.pow(Math.sin(t_0), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_0)))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * t_1))) - 0.5)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (phi1 - phi2) / 2.0 t_1 = (lambda1 - lambda2) / 2.0 t_2 = math.sin(t_1) return R * (2.0 * math.atan2(math.sqrt(((t_2 * ((math.cos(phi1) * math.cos(phi2)) * t_2)) + math.pow(math.sin(t_0), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_0)))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * t_1))) - 0.5)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(phi1 - phi2) / 2.0) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + (sin(t_0) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_0)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * t_1))) - 0.5)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (phi1 - phi2) / 2.0; t_1 = (lambda1 - lambda2) / 2.0; t_2 = sin(t_1); tmp = R * (2.0 * atan2(sqrt(((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + (sin(t_0) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_0)))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_1))) - 0.5))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\phi_1 - \phi_2}{2}\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + {\sin t\_0}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_1\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.9%
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr63.0%
Final simplification63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- phi1 phi2) 2.0))
(t_1 (* 0.5 (cos (* 2.0 t_0))))
(t_2 (/ (- lambda1 lambda2) 2.0))
(t_3 (* 0.5 (cos (* 2.0 t_2))))
(t_4 (sqrt (+ (+ 0.5 t_1) (* (cos phi1) (* (cos phi2) (- t_3 0.5)))))))
(if (<= (- lambda1 lambda2) -5e-76)
(*
(atan2
(sqrt (+ (- 0.5 t_1) (* (cos phi1) (* (cos phi2) (pow (sin t_2) 2.0)))))
t_4)
(* R 2.0))
(*
(* R 2.0)
(atan2
(sqrt (+ (pow (sin t_0) 2.0) (* (cos phi1) (* (cos phi2) (- 0.5 t_3)))))
t_4)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = 0.5 * cos((2.0 * t_0));
double t_2 = (lambda1 - lambda2) / 2.0;
double t_3 = 0.5 * cos((2.0 * t_2));
double t_4 = sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5)))));
double tmp;
if ((lambda1 - lambda2) <= -5e-76) {
tmp = atan2(sqrt(((0.5 - t_1) + (cos(phi1) * (cos(phi2) * pow(sin(t_2), 2.0))))), t_4) * (R * 2.0);
} else {
tmp = (R * 2.0) * atan2(sqrt((pow(sin(t_0), 2.0) + (cos(phi1) * (cos(phi2) * (0.5 - t_3))))), 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 = (phi1 - phi2) / 2.0d0
t_1 = 0.5d0 * cos((2.0d0 * t_0))
t_2 = (lambda1 - lambda2) / 2.0d0
t_3 = 0.5d0 * cos((2.0d0 * t_2))
t_4 = sqrt(((0.5d0 + t_1) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5d0)))))
if ((lambda1 - lambda2) <= (-5d-76)) then
tmp = atan2(sqrt(((0.5d0 - t_1) + (cos(phi1) * (cos(phi2) * (sin(t_2) ** 2.0d0))))), t_4) * (r * 2.0d0)
else
tmp = (r * 2.0d0) * atan2(sqrt(((sin(t_0) ** 2.0d0) + (cos(phi1) * (cos(phi2) * (0.5d0 - t_3))))), 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 = (phi1 - phi2) / 2.0;
double t_1 = 0.5 * Math.cos((2.0 * t_0));
double t_2 = (lambda1 - lambda2) / 2.0;
double t_3 = 0.5 * Math.cos((2.0 * t_2));
double t_4 = Math.sqrt(((0.5 + t_1) + (Math.cos(phi1) * (Math.cos(phi2) * (t_3 - 0.5)))));
double tmp;
if ((lambda1 - lambda2) <= -5e-76) {
tmp = Math.atan2(Math.sqrt(((0.5 - t_1) + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin(t_2), 2.0))))), t_4) * (R * 2.0);
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_0), 2.0) + (Math.cos(phi1) * (Math.cos(phi2) * (0.5 - t_3))))), t_4);
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (phi1 - phi2) / 2.0 t_1 = 0.5 * math.cos((2.0 * t_0)) t_2 = (lambda1 - lambda2) / 2.0 t_3 = 0.5 * math.cos((2.0 * t_2)) t_4 = math.sqrt(((0.5 + t_1) + (math.cos(phi1) * (math.cos(phi2) * (t_3 - 0.5))))) tmp = 0 if (lambda1 - lambda2) <= -5e-76: tmp = math.atan2(math.sqrt(((0.5 - t_1) + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin(t_2), 2.0))))), t_4) * (R * 2.0) else: tmp = (R * 2.0) * math.atan2(math.sqrt((math.pow(math.sin(t_0), 2.0) + (math.cos(phi1) * (math.cos(phi2) * (0.5 - t_3))))), t_4) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(phi1 - phi2) / 2.0) t_1 = Float64(0.5 * cos(Float64(2.0 * t_0))) t_2 = Float64(Float64(lambda1 - lambda2) / 2.0) t_3 = Float64(0.5 * cos(Float64(2.0 * t_2))) t_4 = sqrt(Float64(Float64(0.5 + t_1) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_3 - 0.5))))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -5e-76) tmp = Float64(atan(sqrt(Float64(Float64(0.5 - t_1) + Float64(cos(phi1) * Float64(cos(phi2) * (sin(t_2) ^ 2.0))))), t_4) * Float64(R * 2.0)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64((sin(t_0) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - t_3))))), t_4)); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = (phi1 - phi2) / 2.0; t_1 = 0.5 * cos((2.0 * t_0)); t_2 = (lambda1 - lambda2) / 2.0; t_3 = 0.5 * cos((2.0 * t_2)); t_4 = sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5))))); tmp = 0.0; if ((lambda1 - lambda2) <= -5e-76) tmp = atan2(sqrt(((0.5 - t_1) + (cos(phi1) * (cos(phi2) * (sin(t_2) ^ 2.0))))), t_4) * (R * 2.0); else tmp = (R * 2.0) * atan2(sqrt(((sin(t_0) ^ 2.0) + (cos(phi1) * (cos(phi2) * (0.5 - t_3))))), t_4); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -5e-76], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\phi_1 - \phi_2}{2}\\
t_1 := 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_2 := \frac{\lambda_1 - \lambda_2}{2}\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
t_4 := \sqrt{\left(0.5 + t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_3 - 0.5\right)\right)}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -5 \cdot 10^{-76}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin t\_2}^{2}\right)}}{t\_4} \cdot \left(R \cdot 2\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_0}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - t\_3\right)\right)}}{t\_4}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -4.9999999999999998e-76Initial program 62.4%
Applied egg-rr57.8%
sqr-sin-aN/A
pow2N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6462.4%
Applied egg-rr62.4%
if -4.9999999999999998e-76 < (-.f64 lambda1 lambda2) Initial program 63.3%
Applied egg-rr58.6%
sqr-sin-aN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6462.7%
Applied egg-rr62.7%
Final simplification62.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- lambda1 lambda2) 2.0))
(t_1 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0))))))
(*
(atan2
(sqrt (+ (- 0.5 t_1) (* (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0)))))
(sqrt
(+
(+ 0.5 t_1)
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 t_0))) 0.5))))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
return atan2(sqrt(((0.5 - t_1) + (cos(phi1) * (cos(phi2) * pow(sin(t_0), 2.0))))), sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = (lambda1 - lambda2) / 2.0d0
t_1 = 0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))
code = atan2(sqrt(((0.5d0 - t_1) + (cos(phi1) * (cos(phi2) * (sin(t_0) ** 2.0d0))))), sqrt(((0.5d0 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * t_0))) - 0.5d0)))))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) / 2.0;
double t_1 = 0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)));
return Math.atan2(Math.sqrt(((0.5 - t_1) + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin(t_0), 2.0))))), Math.sqrt(((0.5 + t_1) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (lambda1 - lambda2) / 2.0 t_1 = 0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))) return math.atan2(math.sqrt(((0.5 - t_1) + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin(t_0), 2.0))))), math.sqrt(((0.5 + t_1) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) / 2.0) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) return Float64(atan(sqrt(Float64(Float64(0.5 - t_1) + Float64(cos(phi1) * Float64(cos(phi2) * (sin(t_0) ^ 2.0))))), sqrt(Float64(Float64(0.5 + t_1) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * t_0))) - 0.5)))))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (lambda1 - lambda2) / 2.0; t_1 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))); tmp = atan2(sqrt(((0.5 - t_1) + (cos(phi1) * (cos(phi2) * (sin(t_0) ^ 2.0))))), sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\lambda_1 - \lambda_2}{2}\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
\tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin t\_0}^{2}\right)}}{\sqrt{\left(0.5 + t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_0\right) - 0.5\right)\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 62.9%
Applied egg-rr58.3%
sqr-sin-aN/A
pow2N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6460.7%
Applied egg-rr60.7%
Final simplification60.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt
(+
(*
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))
(sqrt
(+
(* 0.5 (cos (- phi1 phi2)))
(-
0.5
(*
(* (cos phi1) (cos phi2))
(+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 * cos((phi1 - phi2))) + (0.5 - ((cos(phi1) * cos(phi2)) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (r * 2.0d0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - (0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0))))))) + (0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))))), sqrt(((0.5d0 * cos((phi1 - phi2))) + (0.5d0 - ((cos(phi1) * cos(phi2)) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - (0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), Math.sqrt(((0.5 * Math.cos((phi1 - phi2))) + (0.5 - ((Math.cos(phi1) * Math.cos(phi2)) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - (0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))), math.sqrt(((0.5 * math.cos((phi1 - phi2))) + (0.5 - ((math.cos(phi1) * math.cos(phi2)) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0))))))) + Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))), sqrt(Float64(Float64(0.5 * cos(Float64(phi1 - phi2))) + Float64(0.5 - Float64(Float64(cos(phi1) * cos(phi2)) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))))))) + (0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))), sqrt(((0.5 * cos((phi1 - phi2))) + (0.5 - ((cos(phi1) * cos(phi2)) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\right)\right) + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}{\sqrt{0.5 \cdot \cos \left(\phi_1 - \phi_2\right) + \left(0.5 - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}
\end{array}
Initial program 62.9%
Applied egg-rr58.3%
sub-negN/A
+-commutativeN/A
associate-*r*N/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr58.3%
Taylor expanded in phi1 around inf
associate-+r+N/A
+-lowering-+.f64N/A
Simplified58.3%
Final simplification58.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (cos (- phi1 phi2))))
(*
(* R 2.0)
(atan2
(sqrt
(+
(* (cos phi1) (* (cos phi2) (+ 0.5 (* -0.5 t_0))))
(+ 0.5 (* -0.5 t_1))))
(sqrt
(+
0.5
(+ (* 0.5 t_1) (* (* (cos phi1) (cos phi2)) (+ -0.5 (* 0.5 t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos((phi1 - phi2));
return (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * t_0)))) + (0.5 + (-0.5 * t_1)))), sqrt((0.5 + ((0.5 * t_1) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * 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
real(8) :: t_1
t_0 = cos((lambda1 - lambda2))
t_1 = cos((phi1 - phi2))
code = (r * 2.0d0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 + ((-0.5d0) * t_0)))) + (0.5d0 + ((-0.5d0) * t_1)))), sqrt((0.5d0 + ((0.5d0 * t_1) + ((cos(phi1) * cos(phi2)) * ((-0.5d0) + (0.5d0 * t_0)))))))
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 - phi2));
return (R * 2.0) * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 + (-0.5 * t_0)))) + (0.5 + (-0.5 * t_1)))), Math.sqrt((0.5 + ((0.5 * t_1) + ((Math.cos(phi1) * Math.cos(phi2)) * (-0.5 + (0.5 * t_0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.cos((phi1 - phi2)) return (R * 2.0) * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 + (-0.5 * t_0)))) + (0.5 + (-0.5 * t_1)))), math.sqrt((0.5 + ((0.5 * t_1) + ((math.cos(phi1) * math.cos(phi2)) * (-0.5 + (0.5 * t_0)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = cos(Float64(phi1 - phi2)) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * t_0)))) + Float64(0.5 + Float64(-0.5 * t_1)))), sqrt(Float64(0.5 + Float64(Float64(0.5 * t_1) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-0.5 + Float64(0.5 * t_0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = cos((phi1 - phi2)); tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * t_0)))) + (0.5 + (-0.5 * t_1)))), sqrt((0.5 + ((0.5 * t_1) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * t_0))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(-0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(0.5 * t$95$1), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 + N[(0.5 * t$95$0), $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 \left(\phi_1 - \phi_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + -0.5 \cdot t\_0\right)\right) + \left(0.5 + -0.5 \cdot t\_1\right)}}{\sqrt{0.5 + \left(0.5 \cdot t\_1 + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-0.5 + 0.5 \cdot t\_0\right)\right)}}
\end{array}
\end{array}
Initial program 62.9%
div-subN/A
sub-negN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6463.8%
Applied egg-rr63.8%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-negN/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-/.f6477.0%
Applied egg-rr77.0%
Applied egg-rr58.3%
Final simplification58.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(t_2 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_3 (sqrt (+ (* (cos phi1) (* (cos phi2) (- 0.5 t_1))) (- 0.5 t_2)))))
(if (<= phi2 -52000000.0)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi2) (- t_0 0.5))))
(sqrt (+ (+ 0.5 t_2) (* (cos phi1) (* (cos phi2) (- t_1 0.5)))))))
(if (<= phi2 3.3)
(* (* R 2.0) (atan2 t_3 (sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_0))))))
(*
(* R 2.0)
(atan2
t_3
(sqrt (+ 0.5 (- (* (cos phi2) 0.5) (* (cos phi2) t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
double t_1 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_3 = sqrt(((cos(phi1) * (cos(phi2) * (0.5 - t_1))) + (0.5 - t_2)));
double tmp;
if (phi2 <= -52000000.0) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_0 - 0.5)))), sqrt(((0.5 + t_2) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5))))));
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * atan2(t_3, sqrt((0.5 + (cos(phi1) * (0.5 - t_0)))));
} else {
tmp = (R * 2.0) * atan2(t_3, sqrt((0.5 + ((cos(phi2) * 0.5) - (cos(phi2) * t_0)))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_1 = 0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))
t_2 = 0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))
t_3 = sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - t_1))) + (0.5d0 - t_2)))
if (phi2 <= (-52000000.0d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi2) * (t_0 - 0.5d0)))), sqrt(((0.5d0 + t_2) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5d0))))))
else if (phi2 <= 3.3d0) then
tmp = (r * 2.0d0) * atan2(t_3, sqrt((0.5d0 + (cos(phi1) * (0.5d0 - t_0)))))
else
tmp = (r * 2.0d0) * atan2(t_3, sqrt((0.5d0 + ((cos(phi2) * 0.5d0) - (cos(phi2) * t_0)))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_1 = 0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_2 = 0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_3 = Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - t_1))) + (0.5 - t_2)));
double tmp;
if (phi2 <= -52000000.0) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi2) * (t_0 - 0.5)))), Math.sqrt(((0.5 + t_2) + (Math.cos(phi1) * (Math.cos(phi2) * (t_1 - 0.5))))));
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * Math.atan2(t_3, Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - t_0)))));
} else {
tmp = (R * 2.0) * Math.atan2(t_3, Math.sqrt((0.5 + ((Math.cos(phi2) * 0.5) - (Math.cos(phi2) * t_0)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = 0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))) t_2 = 0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))) t_3 = math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - t_1))) + (0.5 - t_2))) tmp = 0 if phi2 <= -52000000.0: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi2) * (t_0 - 0.5)))), math.sqrt(((0.5 + t_2) + (math.cos(phi1) * (math.cos(phi2) * (t_1 - 0.5)))))) elif phi2 <= 3.3: tmp = (R * 2.0) * math.atan2(t_3, math.sqrt((0.5 + (math.cos(phi1) * (0.5 - t_0))))) else: tmp = (R * 2.0) * math.atan2(t_3, math.sqrt((0.5 + ((math.cos(phi2) * 0.5) - (math.cos(phi2) * t_0))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_3 = sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - t_1))) + Float64(0.5 - t_2))) tmp = 0.0 if (phi2 <= -52000000.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(t_0 - 0.5)))), sqrt(Float64(Float64(0.5 + t_2) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 0.5))))))); elseif (phi2 <= 3.3) tmp = Float64(Float64(R * 2.0) * atan(t_3, sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_0)))))); else tmp = Float64(Float64(R * 2.0) * atan(t_3, sqrt(Float64(0.5 + Float64(Float64(cos(phi2) * 0.5) - Float64(cos(phi2) * t_0)))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_1 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))); t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))); t_3 = sqrt(((cos(phi1) * (cos(phi2) * (0.5 - t_1))) + (0.5 - t_2))); tmp = 0.0; if (phi2 <= -52000000.0) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_0 - 0.5)))), sqrt(((0.5 + t_2) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5)))))); elseif (phi2 <= 3.3) tmp = (R * 2.0) * atan2(t_3, sqrt((0.5 + (cos(phi1) * (0.5 - t_0))))); else tmp = (R * 2.0) * atan2(t_3, sqrt((0.5 + ((cos(phi2) * 0.5) - (cos(phi2) * t_0))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -52000000.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 3.3], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / N[Sqrt[N[(0.5 + N[(N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_3 := \sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - t\_1\right)\right) + \left(0.5 - t\_2\right)}\\
\mathbf{if}\;\phi_2 \leq -52000000:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_2 \cdot \left(t\_0 - 0.5\right)}}{\sqrt{\left(0.5 + t\_2\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}}\\
\mathbf{elif}\;\phi_2 \leq 3.3:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_0\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{0.5 + \left(\cos \phi_2 \cdot 0.5 - \cos \phi_2 \cdot t\_0\right)}}\\
\end{array}
\end{array}
if phi2 < -5.2e7Initial program 54.0%
Applied egg-rr54.1%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6455.2%
Simplified55.2%
if -5.2e7 < phi2 < 3.2999999999999998Initial program 73.1%
Applied egg-rr64.0%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6464.2%
Simplified64.2%
if 3.2999999999999998 < phi2 Initial program 50.3%
Applied egg-rr50.2%
sub-negN/A
+-commutativeN/A
associate-*r*N/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr50.3%
Taylor expanded in phi1 around 0
+-lowering-+.f64N/A
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6451.4%
Simplified51.4%
Final simplification58.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(t_2 (- 0.5 t_0))
(t_3 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_4 (sqrt (+ (* (cos phi1) (* (cos phi2) (- 0.5 t_1))) (- 0.5 t_3)))))
(if (<= phi2 -52000000.0)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi2) (- t_0 0.5))))
(sqrt (+ (+ 0.5 t_3) (* (cos phi1) (* (cos phi2) (- t_1 0.5)))))))
(if (<= phi2 3.3)
(* (* R 2.0) (atan2 t_4 (sqrt (+ 0.5 (* (cos phi1) t_2)))))
(* (* R 2.0) (atan2 t_4 (sqrt (+ 0.5 (* (cos phi2) t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
double t_1 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_2 = 0.5 - t_0;
double t_3 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_4 = sqrt(((cos(phi1) * (cos(phi2) * (0.5 - t_1))) + (0.5 - t_3)));
double tmp;
if (phi2 <= -52000000.0) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_0 - 0.5)))), sqrt(((0.5 + t_3) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5))))));
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * atan2(t_4, sqrt((0.5 + (cos(phi1) * t_2))));
} else {
tmp = (R * 2.0) * atan2(t_4, sqrt((0.5 + (cos(phi2) * 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) :: t_4
real(8) :: tmp
t_0 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_1 = 0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))
t_2 = 0.5d0 - t_0
t_3 = 0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))
t_4 = sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - t_1))) + (0.5d0 - t_3)))
if (phi2 <= (-52000000.0d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi2) * (t_0 - 0.5d0)))), sqrt(((0.5d0 + t_3) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5d0))))))
else if (phi2 <= 3.3d0) then
tmp = (r * 2.0d0) * atan2(t_4, sqrt((0.5d0 + (cos(phi1) * t_2))))
else
tmp = (r * 2.0d0) * atan2(t_4, sqrt((0.5d0 + (cos(phi2) * 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 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_1 = 0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_2 = 0.5 - t_0;
double t_3 = 0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_4 = Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - t_1))) + (0.5 - t_3)));
double tmp;
if (phi2 <= -52000000.0) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi2) * (t_0 - 0.5)))), Math.sqrt(((0.5 + t_3) + (Math.cos(phi1) * (Math.cos(phi2) * (t_1 - 0.5))))));
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * Math.atan2(t_4, Math.sqrt((0.5 + (Math.cos(phi1) * t_2))));
} else {
tmp = (R * 2.0) * Math.atan2(t_4, Math.sqrt((0.5 + (Math.cos(phi2) * t_2))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = 0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))) t_2 = 0.5 - t_0 t_3 = 0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))) t_4 = math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - t_1))) + (0.5 - t_3))) tmp = 0 if phi2 <= -52000000.0: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi2) * (t_0 - 0.5)))), math.sqrt(((0.5 + t_3) + (math.cos(phi1) * (math.cos(phi2) * (t_1 - 0.5)))))) elif phi2 <= 3.3: tmp = (R * 2.0) * math.atan2(t_4, math.sqrt((0.5 + (math.cos(phi1) * t_2)))) else: tmp = (R * 2.0) * math.atan2(t_4, math.sqrt((0.5 + (math.cos(phi2) * t_2)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))) t_2 = Float64(0.5 - t_0) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_4 = sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - t_1))) + Float64(0.5 - t_3))) tmp = 0.0 if (phi2 <= -52000000.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(t_0 - 0.5)))), sqrt(Float64(Float64(0.5 + t_3) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 0.5))))))); elseif (phi2 <= 3.3) tmp = Float64(Float64(R * 2.0) * atan(t_4, sqrt(Float64(0.5 + Float64(cos(phi1) * t_2))))); else tmp = Float64(Float64(R * 2.0) * atan(t_4, sqrt(Float64(0.5 + Float64(cos(phi2) * t_2))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_1 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))); t_2 = 0.5 - t_0; t_3 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))); t_4 = sqrt(((cos(phi1) * (cos(phi2) * (0.5 - t_1))) + (0.5 - t_3))); tmp = 0.0; if (phi2 <= -52000000.0) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_0 - 0.5)))), sqrt(((0.5 + t_3) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5)))))); elseif (phi2 <= 3.3) tmp = (R * 2.0) * atan2(t_4, sqrt((0.5 + (cos(phi1) * t_2)))); else tmp = (R * 2.0) * atan2(t_4, sqrt((0.5 + (cos(phi2) * t_2)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -52000000.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 3.3], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$4 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$4 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := 0.5 - t\_0\\
t_3 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_4 := \sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - t\_1\right)\right) + \left(0.5 - t\_3\right)}\\
\mathbf{if}\;\phi_2 \leq -52000000:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_2 \cdot \left(t\_0 - 0.5\right)}}{\sqrt{\left(0.5 + t\_3\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}}\\
\mathbf{elif}\;\phi_2 \leq 3.3:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{0.5 + \cos \phi_1 \cdot t\_2}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{0.5 + \cos \phi_2 \cdot t\_2}}\\
\end{array}
\end{array}
if phi2 < -5.2e7Initial program 54.0%
Applied egg-rr54.1%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6455.2%
Simplified55.2%
if -5.2e7 < phi2 < 3.2999999999999998Initial program 73.1%
Applied egg-rr64.0%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6464.2%
Simplified64.2%
if 3.2999999999999998 < phi2 Initial program 50.3%
Applied egg-rr50.2%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6451.3%
Simplified51.3%
Final simplification58.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1 (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))))
(t_2 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_3
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi2) (- t_0 0.5))))
(sqrt (+ (+ 0.5 t_2) (* (cos phi1) (* (cos phi2) (- t_1 0.5)))))))))
(if (<= phi2 -52000000.0)
t_3
(if (<= phi2 3.3)
(*
(* R 2.0)
(atan2
(sqrt (+ (* (cos phi1) (* (cos phi2) (- 0.5 t_1))) (- 0.5 t_2)))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 t_0))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
double t_1 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_3 = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_0 - 0.5)))), sqrt(((0.5 + t_2) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5))))));
double tmp;
if (phi2 <= -52000000.0) {
tmp = t_3;
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - t_1))) + (0.5 - t_2))), sqrt((0.5 + (cos(phi1) * (0.5 - t_0)))));
} 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 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_1 = 0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))
t_2 = 0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))
t_3 = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi2) * (t_0 - 0.5d0)))), sqrt(((0.5d0 + t_2) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5d0))))))
if (phi2 <= (-52000000.0d0)) then
tmp = t_3
else if (phi2 <= 3.3d0) then
tmp = (r * 2.0d0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5d0 - t_1))) + (0.5d0 - t_2))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - t_0)))))
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 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_1 = 0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)));
double t_2 = 0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_3 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi2) * (t_0 - 0.5)))), Math.sqrt(((0.5 + t_2) + (Math.cos(phi1) * (Math.cos(phi2) * (t_1 - 0.5))))));
double tmp;
if (phi2 <= -52000000.0) {
tmp = t_3;
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * (0.5 - t_1))) + (0.5 - t_2))), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - t_0)))));
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = 0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0))) t_2 = 0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))) t_3 = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi2) * (t_0 - 0.5)))), math.sqrt(((0.5 + t_2) + (math.cos(phi1) * (math.cos(phi2) * (t_1 - 0.5)))))) tmp = 0 if phi2 <= -52000000.0: tmp = t_3 elif phi2 <= 3.3: tmp = (R * 2.0) * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * (0.5 - t_1))) + (0.5 - t_2))), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - t_0))))) else: tmp = t_3 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(t_0 - 0.5)))), sqrt(Float64(Float64(0.5 + t_2) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 0.5))))))) tmp = 0.0 if (phi2 <= -52000000.0) tmp = t_3; elseif (phi2 <= 3.3) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - t_1))) + Float64(0.5 - t_2))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - t_0)))))); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_1 = 0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0))); t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))); t_3 = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * (t_0 - 0.5)))), sqrt(((0.5 + t_2) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5)))))); tmp = 0.0; if (phi2 <= -52000000.0) tmp = t_3; elseif (phi2 <= 3.3) tmp = (R * 2.0) * atan2(sqrt(((cos(phi1) * (cos(phi2) * (0.5 - t_1))) + (0.5 - t_2))), sqrt((0.5 + (cos(phi1) * (0.5 - t_0))))); else tmp = t_3; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -52000000.0], t$95$3, If[LessEqual[phi2, 3.3], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_2 \cdot \left(t\_0 - 0.5\right)}}{\sqrt{\left(0.5 + t\_2\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -52000000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 3.3:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - t\_1\right)\right) + \left(0.5 - t\_2\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - t\_0\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -5.2e7 or 3.2999999999999998 < phi2 Initial program 52.1%
Applied egg-rr52.1%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6453.0%
Simplified53.0%
if -5.2e7 < phi2 < 3.2999999999999998Initial program 73.1%
Applied egg-rr64.0%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6464.2%
Simplified64.2%
Final simplification58.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))) 0.5))
(t_1
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))) 0.5))))))
(t_2 (* (* R 2.0) (atan2 (sqrt (+ 0.5 (* (cos phi2) t_0))) t_1))))
(if (<= phi2 -52000000.0)
t_2
(if (<= phi2 3.3)
(* (* R 2.0) (atan2 (sqrt (+ 0.5 (* (cos phi1) t_0))) t_1))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (0.5 + (-0.5 * cos((lambda1 - lambda2)))) - 0.5;
double t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5)))));
double t_2 = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * t_0))), t_1);
double tmp;
if (phi2 <= -52000000.0) {
tmp = t_2;
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * t_0))), t_1);
} else {
tmp = 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) :: tmp
t_0 = (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))) - 0.5d0
t_1 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))) - 0.5d0)))))
t_2 = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi2) * t_0))), t_1)
if (phi2 <= (-52000000.0d0)) then
tmp = t_2
else if (phi2 <= 3.3d0) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * t_0))), t_1)
else
tmp = 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 = (0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))) - 0.5;
double t_1 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5)))));
double t_2 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi2) * t_0))), t_1);
double tmp;
if (phi2 <= -52000000.0) {
tmp = t_2;
} else if (phi2 <= 3.3) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * t_0))), t_1);
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))) - 0.5 t_1 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5))))) t_2 = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi2) * t_0))), t_1) tmp = 0 if phi2 <= -52000000.0: tmp = t_2 elif phi2 <= 3.3: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * t_0))), t_1) else: tmp = t_2 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) - 0.5) t_1 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))) - 0.5))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi2) * t_0))), t_1)) tmp = 0.0 if (phi2 <= -52000000.0) tmp = t_2; elseif (phi2 <= 3.3) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * t_0))), t_1)); else tmp = t_2; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = (0.5 + (-0.5 * cos((lambda1 - lambda2)))) - 0.5; t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5))))); t_2 = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi2) * t_0))), t_1); tmp = 0.0; if (phi2 <= -52000000.0) tmp = t_2; elseif (phi2 <= 3.3) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * t_0))), t_1); else tmp = t_2; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -52000000.0], t$95$2, If[LessEqual[phi2, 3.3], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right) - 0.5\\
t_1 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right) - 0.5\right)\right)}\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_2 \cdot t\_0}}{t\_1}\\
\mathbf{if}\;\phi_2 \leq -52000000:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 3.3:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot t\_0}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -5.2e7 or 3.2999999999999998 < phi2 Initial program 52.1%
Applied egg-rr52.1%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6453.0%
Simplified53.0%
if -5.2e7 < phi2 < 3.2999999999999998Initial program 73.1%
Applied egg-rr64.0%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6463.9%
Simplified63.9%
Final simplification58.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt
(+ 0.5 (* (cos phi1) (- (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))) 0.5))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (/ (- lambda1 lambda2) 2.0)))) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * ((0.5 + (-0.5 * cos((lambda1 - lambda2)))) - 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * ((0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))) - 0.5d0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * ((lambda1 - lambda2) / 2.0d0)))) - 0.5d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * ((0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))) - 0.5)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * ((0.5 + (-0.5 * math.cos((lambda1 - lambda2)))) - 0.5)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) - 0.5)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(Float64(lambda1 - lambda2) / 2.0)))) - 0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * ((0.5 + (-0.5 * cos((lambda1 - lambda2)))) - 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * ((lambda1 - lambda2) / 2.0)))) - 0.5)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(\left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right) - 0.5\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot \frac{\lambda_1 - \lambda_2}{2}\right) - 0.5\right)\right)}}
\end{array}
Initial program 62.9%
Applied egg-rr58.3%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6441.3%
Simplified41.3%
Final simplification41.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(+
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(* (cos phi1) (cos phi2))
(+ -0.5 (* 0.5 (cos (- lambda1 lambda2))))))))
(t_1 (* R (* 2.0 (atan2 (sin (* phi2 -0.5)) t_0)))))
(if (<= phi2 -1.32e-25)
t_1
(if (<= phi2 3700.0) (* R (* 2.0 (atan2 (sin (* phi1 0.5)) t_0))) t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2)))))));
double t_1 = R * (2.0 * atan2(sin((phi2 * -0.5)), t_0));
double tmp;
if (phi2 <= -1.32e-25) {
tmp = t_1;
} else if (phi2 <= 3700.0) {
tmp = R * (2.0 * atan2(sin((phi1 * 0.5)), t_0));
} else {
tmp = t_1;
}
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) :: tmp
t_0 = sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * ((-0.5d0) + (0.5d0 * cos((lambda1 - lambda2)))))))
t_1 = r * (2.0d0 * atan2(sin((phi2 * (-0.5d0))), t_0))
if (phi2 <= (-1.32d-25)) then
tmp = t_1
else if (phi2 <= 3700.0d0) then
tmp = r * (2.0d0 * atan2(sin((phi1 * 0.5d0)), t_0))
else
tmp = t_1
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) + ((Math.cos(phi1) * Math.cos(phi2)) * (-0.5 + (0.5 * Math.cos((lambda1 - lambda2)))))));
double t_1 = R * (2.0 * Math.atan2(Math.sin((phi2 * -0.5)), t_0));
double tmp;
if (phi2 <= -1.32e-25) {
tmp = t_1;
} else if (phi2 <= 3700.0) {
tmp = R * (2.0 * Math.atan2(Math.sin((phi1 * 0.5)), t_0));
} else {
tmp = t_1;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) + ((math.cos(phi1) * math.cos(phi2)) * (-0.5 + (0.5 * math.cos((lambda1 - lambda2))))))) t_1 = R * (2.0 * math.atan2(math.sin((phi2 * -0.5)), t_0)) tmp = 0 if phi2 <= -1.32e-25: tmp = t_1 elif phi2 <= 3700.0: tmp = R * (2.0 * math.atan2(math.sin((phi1 * 0.5)), t_0)) else: tmp = t_1 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-0.5 + Float64(0.5 * cos(Float64(lambda1 - lambda2))))))) t_1 = Float64(R * Float64(2.0 * atan(sin(Float64(phi2 * -0.5)), t_0))) tmp = 0.0 if (phi2 <= -1.32e-25) tmp = t_1; elseif (phi2 <= 3700.0) tmp = Float64(R * Float64(2.0 * atan(sin(Float64(phi1 * 0.5)), t_0))); else tmp = t_1; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2))))))); t_1 = R * (2.0 * atan2(sin((phi2 * -0.5)), t_0)); tmp = 0.0; if (phi2 <= -1.32e-25) tmp = t_1; elseif (phi2 <= 3700.0) tmp = R * (2.0 * atan2(sin((phi1 * 0.5)), t_0)); else tmp = t_1; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 + N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.32e-25], t$95$1, If[LessEqual[phi2, 3700.0], N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-0.5 + 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}\\
t_1 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(\phi_2 \cdot -0.5\right)}{t\_0}\right)\\
\mathbf{if}\;\phi_2 \leq -1.32 \cdot 10^{-25}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_2 \leq 3700:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(\phi_1 \cdot 0.5\right)}{t\_0}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi2 < -1.3199999999999999e-25 or 3700 < phi2 Initial program 52.0%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified43.5%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.5%
Simplified15.5%
Applied egg-rr15.5%
Taylor expanded in phi1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6415.9%
Simplified15.9%
if -1.3199999999999999e-25 < phi2 < 3700Initial program 74.0%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified52.3%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6417.4%
Simplified17.4%
Applied egg-rr17.5%
Taylor expanded in phi2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6417.4%
Simplified17.4%
Final simplification16.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (cos phi1) (cos phi2))
(+ -0.5 (* 0.5 (cos (- lambda1 lambda2)))))))
(if (<= phi2 3700.0)
(*
R
(*
2.0
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt (+ t_0 (+ 0.5 (* (cos phi1) 0.5)))))))
(*
R
(*
2.0
(atan2
(sin (* phi2 -0.5))
(sqrt (+ (+ 0.5 (* 0.5 (cos (- phi1 phi2)))) t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2))));
double tmp;
if (phi2 <= 3700.0) {
tmp = R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt((t_0 + (0.5 + (cos(phi1) * 0.5))))));
} else {
tmp = R * (2.0 * atan2(sin((phi2 * -0.5)), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + t_0))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: tmp
t_0 = (cos(phi1) * cos(phi2)) * ((-0.5d0) + (0.5d0 * cos((lambda1 - lambda2))))
if (phi2 <= 3700.0d0) then
tmp = r * (2.0d0 * atan2(sin((0.5d0 * (phi1 - phi2))), sqrt((t_0 + (0.5d0 + (cos(phi1) * 0.5d0))))))
else
tmp = r * (2.0d0 * atan2(sin((phi2 * (-0.5d0))), sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) + t_0))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (Math.cos(phi1) * Math.cos(phi2)) * (-0.5 + (0.5 * Math.cos((lambda1 - lambda2))));
double tmp;
if (phi2 <= 3700.0) {
tmp = R * (2.0 * Math.atan2(Math.sin((0.5 * (phi1 - phi2))), Math.sqrt((t_0 + (0.5 + (Math.cos(phi1) * 0.5))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sin((phi2 * -0.5)), Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) + t_0))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (math.cos(phi1) * math.cos(phi2)) * (-0.5 + (0.5 * math.cos((lambda1 - lambda2)))) tmp = 0 if phi2 <= 3700.0: tmp = R * (2.0 * math.atan2(math.sin((0.5 * (phi1 - phi2))), math.sqrt((t_0 + (0.5 + (math.cos(phi1) * 0.5)))))) else: tmp = R * (2.0 * math.atan2(math.sin((phi2 * -0.5)), math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) + t_0)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-0.5 + Float64(0.5 * cos(Float64(lambda1 - lambda2))))) tmp = 0.0 if (phi2 <= 3700.0) tmp = Float64(R * Float64(2.0 * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(t_0 + Float64(0.5 + Float64(cos(phi1) * 0.5))))))); else tmp = Float64(R * Float64(2.0 * atan(sin(Float64(phi2 * -0.5)), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) + t_0))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = (cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2)))); tmp = 0.0; if (phi2 <= 3700.0) tmp = R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt((t_0 + (0.5 + (cos(phi1) * 0.5)))))); else tmp = R * (2.0 * atan2(sin((phi2 * -0.5)), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + t_0)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 + N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, 3700.0], N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$0 + N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-0.5 + 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
\mathbf{if}\;\phi_2 \leq 3700:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{t\_0 + \left(0.5 + \cos \phi_1 \cdot 0.5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(\phi_2 \cdot -0.5\right)}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + t\_0}}\right)\\
\end{array}
\end{array}
if phi2 < 3700Initial program 67.1%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified49.7%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.7%
Simplified16.7%
Applied egg-rr16.7%
Taylor expanded in phi2 around 0
cos-lowering-cos.f6415.6%
Simplified15.6%
if 3700 < phi2 Initial program 50.3%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified42.0%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.8%
Simplified15.8%
Applied egg-rr15.8%
Taylor expanded in phi1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6416.6%
Simplified16.6%
Final simplification15.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(* (* (cos phi1) (cos phi2)) (+ -0.5 (* 0.5 (cos lambda1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos(lambda1))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = r * (2.0d0 * atan2(sin((0.5d0 * (phi1 - phi2))), sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * ((-0.5d0) + (0.5d0 * cos(lambda1))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sin((0.5 * (phi1 - phi2))), Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) + ((Math.cos(phi1) * Math.cos(phi2)) * (-0.5 + (0.5 * Math.cos(lambda1))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sin((0.5 * (phi1 - phi2))), math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) + ((math.cos(phi1) * math.cos(phi2)) * (-0.5 + (0.5 * math.cos(lambda1))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-0.5 + Float64(0.5 * cos(lambda1))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos(lambda1)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 + N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-0.5 + 0.5 \cdot \cos \lambda_1\right)}}\right)
\end{array}
Initial program 62.9%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified47.8%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Applied egg-rr16.5%
Taylor expanded in lambda2 around 0
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6416.5%
Simplified16.5%
Final simplification16.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt
(+
(* (* (cos phi1) (cos phi2)) (+ -0.5 (* 0.5 (cos (- lambda1 lambda2)))))
(+ 0.5 (* (cos phi2) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt((((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2))))) + (0.5 + (cos(phi2) * 0.5))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = r * (2.0d0 * atan2(sin((0.5d0 * (phi1 - phi2))), sqrt((((cos(phi1) * cos(phi2)) * ((-0.5d0) + (0.5d0 * cos((lambda1 - lambda2))))) + (0.5d0 + (cos(phi2) * 0.5d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sin((0.5 * (phi1 - phi2))), Math.sqrt((((Math.cos(phi1) * Math.cos(phi2)) * (-0.5 + (0.5 * Math.cos((lambda1 - lambda2))))) + (0.5 + (Math.cos(phi2) * 0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sin((0.5 * (phi1 - phi2))), math.sqrt((((math.cos(phi1) * math.cos(phi2)) * (-0.5 + (0.5 * math.cos((lambda1 - lambda2))))) + (0.5 + (math.cos(phi2) * 0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-0.5 + Float64(0.5 * cos(Float64(lambda1 - lambda2))))) + Float64(0.5 + Float64(cos(phi2) * 0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt((((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2))))) + (0.5 + (cos(phi2) * 0.5)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 + N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-0.5 + 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right) + \left(0.5 + \cos \phi_2 \cdot 0.5\right)}}\right)
\end{array}
Initial program 62.9%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified47.8%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Applied egg-rr16.5%
Taylor expanded in phi1 around 0
cos-negN/A
cos-lowering-cos.f6414.4%
Simplified14.4%
Final simplification14.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sin (* phi2 -0.5))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(* (cos phi1) (cos phi2))
(+ -0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sin((phi2 * -0.5)), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2)))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = r * (2.0d0 * atan2(sin((phi2 * (-0.5d0))), sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * ((-0.5d0) + (0.5d0 * cos((lambda1 - lambda2)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sin((phi2 * -0.5)), Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) + ((Math.cos(phi1) * Math.cos(phi2)) * (-0.5 + (0.5 * Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sin((phi2 * -0.5)), math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) + ((math.cos(phi1) * math.cos(phi2)) * (-0.5 + (0.5 * math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sin(Float64(phi2 * -0.5)), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-0.5 + Float64(0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sin((phi2 * -0.5)), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + ((cos(phi1) * cos(phi2)) * (-0.5 + (0.5 * cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 + N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(\phi_2 \cdot -0.5\right)}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-0.5 + 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}\right)
\end{array}
Initial program 62.9%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified47.8%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6416.5%
Simplified16.5%
Applied egg-rr16.5%
Taylor expanded in phi1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f6411.4%
Simplified11.4%
Final simplification11.4%
herbie shell --seed 2024185
(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))))))))))