
(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 20 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 (/ phi2 2.0)))
(t_1 (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_2 (* (* (cos phi1) (cos phi2)) t_2)))
(t_4 (sin (/ phi1 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (fma t_4 t_0 (- 0.0 t_1)) 2.0) t_3))
(sqrt (- 1.0 (+ t_3 (pow (- (* t_4 t_0) t_1) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 / 2.0));
double t_1 = cos((phi1 / 2.0)) * sin((phi2 / 2.0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((cos(phi1) * cos(phi2)) * t_2);
double t_4 = sin((phi1 / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(t_4, t_0, (0.0 - t_1)), 2.0) + t_3)), sqrt((1.0 - (t_3 + pow(((t_4 * t_0) - t_1), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 / 2.0)) t_1 = Float64(cos(Float64(phi1 / 2.0)) * sin(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)) t_4 = sin(Float64(phi1 / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_4, t_0, Float64(0.0 - t_1)) ^ 2.0) + t_3)), sqrt(Float64(1.0 - Float64(t_3 + (Float64(Float64(t_4 * t_0) - t_1) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[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]}, Block[{t$95$4 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$4 * t$95$0 + N[(0.0 - t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 + N[Power[N[(N[(t$95$4 * t$95$0), $MachinePrecision] - 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_2}{2}\right)\\
t_1 := \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \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)\\
t_4 := \sin \left(\frac{\phi_1}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_4, t\_0, 0 - t\_1\right)\right)}^{2} + t\_3}}{\sqrt{1 - \left(t\_3 + {\left(t\_4 \cdot t\_0 - t\_1\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.3%
Applied egg-rr63.3%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6476.2%
Applied egg-rr76.2%
Final simplification76.2%
(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 62.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.3%
Applied egg-rr63.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6476.2%
Applied egg-rr76.2%
Final simplification76.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(+
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (cos (* phi1 0.5)) (sin (* phi2 0.5))))
2.0)
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))))
(* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) (* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))), 2.0) + ((cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0));
return atan2(sqrt(t_0), sqrt((1.0 - 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
t_0 = (((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (cos((phi1 * 0.5d0)) * sin((phi2 * 0.5d0)))) ** 2.0d0) + ((cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))
code = atan2(sqrt(t_0), sqrt((1.0d0 - 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((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.cos((phi1 * 0.5)) * Math.sin((phi2 * 0.5)))), 2.0) + ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0));
return Math.atan2(Math.sqrt(t_0), Math.sqrt((1.0 - t_0))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.cos((phi1 * 0.5)) * math.sin((phi2 * 0.5)))), 2.0) + ((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)) return math.atan2(math.sqrt(t_0), math.sqrt((1.0 - t_0))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * 0.5)))) ^ 2.0) + Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))) return Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (cos((phi1 * 0.5)) * sin((phi2 * 0.5)))) ^ 2.0) + ((cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)); tmp = atan2(sqrt(t_0), sqrt((1.0 - t_0))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(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]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2} + \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}}{\sqrt{1 - t\_0}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 62.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.3%
Applied egg-rr63.3%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6476.2%
Applied egg-rr76.2%
Taylor expanded in lambda1 around -inf
Simplified76.2%
Final simplification76.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1)))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (+ t_0 (* (sin phi1) (sin phi2)))))
(* t_0 (- (* 0.5 (cos (* 2.0 t_1))) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
return R * (2.0 * atan2(sqrt(((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((0.5 + (0.5 * (t_0 + (sin(phi1) * sin(phi2))))) + (t_0 * ((0.5 * cos((2.0 * t_1))) - 0.5))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = (lambda1 - lambda2) / 2.0d0
t_2 = sin(t_1)
code = r * (2.0d0 * atan2(sqrt(((t_2 * (t_0 * t_2)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * (t_0 + (sin(phi1) * sin(phi2))))) + (t_0 * ((0.5d0 * cos((2.0d0 * t_1))) - 0.5d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = Math.sin(t_1);
return R * (2.0 * Math.atan2(Math.sqrt(((t_2 * (t_0 * t_2)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt(((0.5 + (0.5 * (t_0 + (Math.sin(phi1) * Math.sin(phi2))))) + (t_0 * ((0.5 * Math.cos((2.0 * t_1))) - 0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = (lambda1 - lambda2) / 2.0 t_2 = math.sin(t_1) return R * (2.0 * math.atan2(math.sqrt(((t_2 * (t_0 * t_2)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt(((0.5 + (0.5 * (t_0 + (math.sin(phi1) * math.sin(phi2))))) + (t_0 * ((0.5 * math.cos((2.0 * t_1))) - 0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) 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(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * Float64(t_0 + Float64(sin(phi1) * sin(phi2))))) + Float64(t_0 * Float64(Float64(0.5 * cos(Float64(2.0 * t_1))) - 0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = (lambda1 - lambda2) / 2.0; t_2 = sin(t_1); tmp = R * (2.0 * atan2(sqrt(((t_2 * (t_0 * t_2)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((0.5 + (0.5 * (t_0 + (sin(phi1) * sin(phi2))))) + (t_0 * ((0.5 * cos((2.0 * t_1))) - 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[(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[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[(t$95$0 + N[(N[Sin[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$1), $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{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \left(t\_0 + \sin \phi_1 \cdot \sin \phi_2\right)\right) + t\_0 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_1\right) - 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.3%
Applied egg-rr63.3%
Applied egg-rr62.5%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6463.4%
Applied egg-rr63.4%
Final simplification63.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
t_0
(-
(*
0.5
(+ (* (sin lambda2) (sin lambda1)) (* (cos lambda2) (cos lambda1))))
0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + (t_0 * ((0.5 * ((sin(lambda2) * sin(lambda1)) + (cos(lambda2) * cos(lambda1)))) - 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
t_0 = cos(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((phi1 - phi2)))) + (t_0 * ((0.5d0 * ((sin(lambda2) * sin(lambda1)) + (cos(lambda2) * cos(lambda1)))) - 0.5d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt(((t_1 * (t_0 * t_1)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((phi1 - phi2)))) + (t_0 * ((0.5 * ((Math.sin(lambda2) * Math.sin(lambda1)) + (Math.cos(lambda2) * Math.cos(lambda1)))) - 0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_1 * (t_0 * t_1)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((phi1 - phi2)))) + (t_0 * ((0.5 * ((math.sin(lambda2) * math.sin(lambda1)) + (math.cos(lambda2) * math.cos(lambda1)))) - 0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) + Float64(t_0 * Float64(Float64(0.5 * Float64(Float64(sin(lambda2) * sin(lambda1)) + Float64(cos(lambda2) * cos(lambda1)))) - 0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + (t_0 * ((0.5 * ((sin(lambda2) * sin(lambda1)) + (cos(lambda2) * cos(lambda1)))) - 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[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(N[(0.5 * N[(N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $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 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + t\_0 \cdot \left(0.5 \cdot \left(\sin \lambda_2 \cdot \sin \lambda_1 + \cos \lambda_2 \cdot \cos \lambda_1\right) - 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.3%
Applied egg-rr63.3%
Applied egg-rr62.5%
*-commutativeN/A
div-invN/A
metadata-evalN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6462.8%
Applied egg-rr62.8%
Final simplification62.8%
(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 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 - 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 - 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 - 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 - 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)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(0.5 + Float64(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 - 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[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $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]), $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) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{0.5 + \left(0.5 \cdot \cos \left(\phi_1 - \phi_2\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)}}\right)
\end{array}
\end{array}
Initial program 62.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6463.3%
Applied egg-rr63.3%
Applied egg-rr62.5%
Applied egg-rr62.5%
Final simplification62.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_2
(sqrt
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))))
(t_3
(*
R
(*
2.0
(atan2
t_2
(sqrt (- (+ 0.5 (* (cos phi1) 0.5)) (* (cos phi1) t_1))))))))
(if (<= phi1 -7.5e-7)
t_3
(if (<= phi1 0.185)
(*
R
(*
2.0
(atan2 t_2 (sqrt (- (+ 0.5 (* (cos phi2) 0.5)) (* (cos phi2) t_1))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
double t_2 = sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)));
double t_3 = R * (2.0 * atan2(t_2, sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_1)))));
double tmp;
if (phi1 <= -7.5e-7) {
tmp = t_3;
} else if (phi1 <= 0.185) {
tmp = R * (2.0 * atan2(t_2, sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_1)))));
} else {
tmp = t_3;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_2 = sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0)))
t_3 = r * (2.0d0 * atan2(t_2, sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) - (cos(phi1) * t_1)))))
if (phi1 <= (-7.5d-7)) then
tmp = t_3
else if (phi1 <= 0.185d0) then
tmp = r * (2.0d0 * atan2(t_2, sqrt(((0.5d0 + (cos(phi2) * 0.5d0)) - (cos(phi2) * t_1)))))
else
tmp = t_3
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_2 = Math.sqrt(((t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0)));
double t_3 = R * (2.0 * Math.atan2(t_2, Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) - (Math.cos(phi1) * t_1)))));
double tmp;
if (phi1 <= -7.5e-7) {
tmp = t_3;
} else if (phi1 <= 0.185) {
tmp = R * (2.0 * Math.atan2(t_2, Math.sqrt(((0.5 + (Math.cos(phi2) * 0.5)) - (Math.cos(phi2) * t_1)))));
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_2 = math.sqrt(((t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))) t_3 = R * (2.0 * math.atan2(t_2, math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) - (math.cos(phi1) * t_1))))) tmp = 0 if phi1 <= -7.5e-7: tmp = t_3 elif phi1 <= 0.185: tmp = R * (2.0 * math.atan2(t_2, math.sqrt(((0.5 + (math.cos(phi2) * 0.5)) - (math.cos(phi2) * t_1))))) else: tmp = t_3 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))) t_3 = Float64(R * Float64(2.0 * atan(t_2, sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) - Float64(cos(phi1) * t_1)))))) tmp = 0.0 if (phi1 <= -7.5e-7) tmp = t_3; elseif (phi1 <= 0.185) tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * 0.5)) - Float64(cos(phi2) * t_1)))))); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_2 = sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))); t_3 = R * (2.0 * atan2(t_2, sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_1))))); tmp = 0.0; if (phi1 <= -7.5e-7) tmp = t_3; elseif (phi1 <= 0.185) tmp = R * (2.0 * atan2(t_2, sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_1))))); else tmp = t_3; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -7.5e-7], t$95$3, If[LessEqual[phi1, 0.185], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \sqrt{t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) - \cos \phi_1 \cdot t\_1}}\right)\\
\mathbf{if}\;\phi_1 \leq -7.5 \cdot 10^{-7}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 0.185:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{\left(0.5 + \cos \phi_2 \cdot 0.5\right) - \cos \phi_2 \cdot t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -7.5000000000000002e-7 or 0.185 < phi1 Initial program 50.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6451.8%
Applied egg-rr51.8%
Applied egg-rr50.0%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6451.3%
Simplified51.3%
if -7.5000000000000002e-7 < phi1 < 0.185Initial program 74.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6474.6%
Applied egg-rr74.6%
Applied egg-rr74.7%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6474.7%
Simplified74.7%
Final simplification63.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (/ (- phi1 phi2) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (cos phi1) (cos phi2)))
(t_3 (cos (- lambda1 lambda2)))
(t_4 (+ 0.5 (* -0.5 t_3)))
(t_5
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (- (* (cos phi2) t_4) (* (cos phi2) 0.5))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_0))))
(* t_2 (- (* 0.5 t_3) 0.5))))))))
(if (<= phi2 -0.00048)
t_5
(if (<= phi2 8.5e-7)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_2 t_1)) (pow (sin t_0) 2.0)))
(sqrt (- (+ 0.5 (* (cos phi1) 0.5)) (* (cos phi1) t_4))))))
t_5))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) / 2.0;
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos(phi1) * cos(phi2);
double t_3 = cos((lambda1 - lambda2));
double t_4 = 0.5 + (-0.5 * t_3);
double t_5 = (R * 2.0) * atan2(sqrt((0.5 + ((cos(phi2) * t_4) - (cos(phi2) * 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_0)))) + (t_2 * ((0.5 * t_3) - 0.5)))));
double tmp;
if (phi2 <= -0.00048) {
tmp = t_5;
} else if (phi2 <= 8.5e-7) {
tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_2 * t_1)) + pow(sin(t_0), 2.0))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_4)))));
} else {
tmp = t_5;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = (phi1 - phi2) / 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = cos(phi1) * cos(phi2)
t_3 = cos((lambda1 - lambda2))
t_4 = 0.5d0 + ((-0.5d0) * t_3)
t_5 = (r * 2.0d0) * atan2(sqrt((0.5d0 + ((cos(phi2) * t_4) - (cos(phi2) * 0.5d0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_0)))) + (t_2 * ((0.5d0 * t_3) - 0.5d0)))))
if (phi2 <= (-0.00048d0)) then
tmp = t_5
else if (phi2 <= 8.5d-7) then
tmp = r * (2.0d0 * atan2(sqrt(((t_1 * (t_2 * t_1)) + (sin(t_0) ** 2.0d0))), sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) - (cos(phi1) * t_4)))))
else
tmp = t_5
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 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.cos(phi1) * Math.cos(phi2);
double t_3 = Math.cos((lambda1 - lambda2));
double t_4 = 0.5 + (-0.5 * t_3);
double t_5 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + ((Math.cos(phi2) * t_4) - (Math.cos(phi2) * 0.5)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_0)))) + (t_2 * ((0.5 * t_3) - 0.5)))));
double tmp;
if (phi2 <= -0.00048) {
tmp = t_5;
} else if (phi2 <= 8.5e-7) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_1 * (t_2 * t_1)) + Math.pow(Math.sin(t_0), 2.0))), Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) - (Math.cos(phi1) * t_4)))));
} else {
tmp = t_5;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (phi1 - phi2) / 2.0 t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.cos(phi1) * math.cos(phi2) t_3 = math.cos((lambda1 - lambda2)) t_4 = 0.5 + (-0.5 * t_3) t_5 = (R * 2.0) * math.atan2(math.sqrt((0.5 + ((math.cos(phi2) * t_4) - (math.cos(phi2) * 0.5)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_0)))) + (t_2 * ((0.5 * t_3) - 0.5))))) tmp = 0 if phi2 <= -0.00048: tmp = t_5 elif phi2 <= 8.5e-7: tmp = R * (2.0 * math.atan2(math.sqrt(((t_1 * (t_2 * t_1)) + math.pow(math.sin(t_0), 2.0))), math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) - (math.cos(phi1) * t_4))))) else: tmp = t_5 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(phi1 - phi2) / 2.0) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = cos(Float64(lambda1 - lambda2)) t_4 = Float64(0.5 + Float64(-0.5 * t_3)) t_5 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(Float64(cos(phi2) * t_4) - Float64(cos(phi2) * 0.5)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_0)))) + Float64(t_2 * Float64(Float64(0.5 * t_3) - 0.5)))))) tmp = 0.0 if (phi2 <= -0.00048) tmp = t_5; elseif (phi2 <= 8.5e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_2 * t_1)) + (sin(t_0) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) - Float64(cos(phi1) * t_4)))))); else tmp = t_5; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = (phi1 - phi2) / 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = cos(phi1) * cos(phi2); t_3 = cos((lambda1 - lambda2)); t_4 = 0.5 + (-0.5 * t_3); t_5 = (R * 2.0) * atan2(sqrt((0.5 + ((cos(phi2) * t_4) - (cos(phi2) * 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_0)))) + (t_2 * ((0.5 * t_3) - 0.5))))); tmp = 0.0; if (phi2 <= -0.00048) tmp = t_5; elseif (phi2 <= 8.5e-7) tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_2 * t_1)) + (sin(t_0) ^ 2.0))), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_4))))); else tmp = t_5; 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[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 + N[(-0.5 * t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[Cos[phi2], $MachinePrecision] * t$95$4), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $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[(t$95$2 * N[(N[(0.5 * t$95$3), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.00048], t$95$5, If[LessEqual[phi2, 8.5e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\phi_1 - \phi_2}{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
t_3 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_4 := 0.5 + -0.5 \cdot t\_3\\
t_5 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\cos \phi_2 \cdot t\_4 - \cos \phi_2 \cdot 0.5\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right) + t\_2 \cdot \left(0.5 \cdot t\_3 - 0.5\right)}}\\
\mathbf{if}\;\phi_2 \leq -0.00048:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_2 \cdot t\_1\right) + {\sin t\_0}^{2}}}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) - \cos \phi_1 \cdot t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if phi2 < -4.80000000000000012e-4 or 8.50000000000000014e-7 < phi2 Initial program 50.5%
Applied egg-rr50.5%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6451.2%
Simplified51.2%
if -4.80000000000000012e-4 < phi2 < 8.50000000000000014e-7Initial program 73.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6473.2%
Applied egg-rr73.2%
Applied egg-rr73.3%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6473.3%
Simplified73.3%
Final simplification62.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* 0.5 (cos (- lambda1 lambda2))))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (- 0.5 t_1))))
(sqrt (+ (+ 0.5 (* 0.5 (cos (* 2.0 t_2)))) (* t_0 (- t_1 0.5)))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.5 * cos((lambda1 - lambda2));
double t_2 = (phi1 - phi2) / 2.0;
return atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (0.5 - t_1)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + (t_0 * (t_1 - 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
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = 0.5d0 * cos((lambda1 - lambda2))
t_2 = (phi1 - phi2) / 2.0d0
code = atan2(sqrt(((sin(t_2) ** 2.0d0) + (t_0 * (0.5d0 - t_1)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_2)))) + (t_0 * (t_1 - 0.5d0))))) * (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);
double t_1 = 0.5 * Math.cos((lambda1 - lambda2));
double t_2 = (phi1 - phi2) / 2.0;
return Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + (t_0 * (0.5 - t_1)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_2)))) + (t_0 * (t_1 - 0.5))))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = 0.5 * math.cos((lambda1 - lambda2)) t_2 = (phi1 - phi2) / 2.0 return math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + (t_0 * (0.5 - t_1)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_2)))) + (t_0 * (t_1 - 0.5))))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(0.5 - t_1)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(t_0 * Float64(t_1 - 0.5))))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = 0.5 * cos((lambda1 - lambda2)); t_2 = (phi1 - phi2) / 2.0; tmp = atan2(sqrt(((sin(t_2) ^ 2.0) + (t_0 * (0.5 - t_1)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + (t_0 * (t_1 - 0.5))))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
\tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(0.5 - t\_1\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + t\_0 \cdot \left(t\_1 - 0.5\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 62.4%
Applied egg-rr58.5%
sqr-sin-aN/A
unpow2N/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
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_2 (* t_0 t_1))
(t_3 (* (cos phi1) (* (cos phi2) t_1)))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (cos (- phi1 phi2)))
(t_6 (* 0.5 t_5)))
(if (<= (- lambda1 lambda2) -0.01)
(*
(* R 2.0)
(atan2 (sqrt (+ t_3 (+ 0.5 (* -0.5 t_5)))) (sqrt (+ 0.5 (- t_6 t_3)))))
(if (<= (- lambda1 lambda2) 5e+18)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_4 (* t_0 t_4)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
(*
(* R 2.0)
(atan2 (sqrt (+ 0.5 (- t_2 t_6))) (sqrt (- (+ 0.5 t_6) t_2))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
double t_2 = t_0 * t_1;
double t_3 = cos(phi1) * (cos(phi2) * t_1);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = cos((phi1 - phi2));
double t_6 = 0.5 * t_5;
double tmp;
if ((lambda1 - lambda2) <= -0.01) {
tmp = (R * 2.0) * atan2(sqrt((t_3 + (0.5 + (-0.5 * t_5)))), sqrt((0.5 + (t_6 - t_3))));
} else if ((lambda1 - lambda2) <= 5e+18) {
tmp = R * (2.0 * atan2(sqrt(((t_4 * (t_0 * t_4)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_2 - t_6))), sqrt(((0.5 + t_6) - 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) :: t_5
real(8) :: t_6
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_2 = t_0 * t_1
t_3 = cos(phi1) * (cos(phi2) * t_1)
t_4 = sin(((lambda1 - lambda2) / 2.0d0))
t_5 = cos((phi1 - phi2))
t_6 = 0.5d0 * t_5
if ((lambda1 - lambda2) <= (-0.01d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((t_3 + (0.5d0 + ((-0.5d0) * t_5)))), sqrt((0.5d0 + (t_6 - t_3))))
else if ((lambda1 - lambda2) <= 5d+18) then
tmp = r * (2.0d0 * atan2(sqrt(((t_4 * (t_0 * t_4)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)))))
else
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_2 - t_6))), sqrt(((0.5d0 + t_6) - t_2)))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_2 = t_0 * t_1;
double t_3 = Math.cos(phi1) * (Math.cos(phi2) * t_1);
double t_4 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_5 = Math.cos((phi1 - phi2));
double t_6 = 0.5 * t_5;
double tmp;
if ((lambda1 - lambda2) <= -0.01) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((t_3 + (0.5 + (-0.5 * t_5)))), Math.sqrt((0.5 + (t_6 - t_3))));
} else if ((lambda1 - lambda2) <= 5e+18) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_4 * (t_0 * t_4)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_2 - t_6))), Math.sqrt(((0.5 + t_6) - t_2)));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_2 = t_0 * t_1 t_3 = math.cos(phi1) * (math.cos(phi2) * t_1) t_4 = math.sin(((lambda1 - lambda2) / 2.0)) t_5 = math.cos((phi1 - phi2)) t_6 = 0.5 * t_5 tmp = 0 if (lambda1 - lambda2) <= -0.01: tmp = (R * 2.0) * math.atan2(math.sqrt((t_3 + (0.5 + (-0.5 * t_5)))), math.sqrt((0.5 + (t_6 - t_3)))) elif (lambda1 - lambda2) <= 5e+18: tmp = R * (2.0 * math.atan2(math.sqrt(((t_4 * (t_0 * t_4)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))))) else: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_2 - t_6))), math.sqrt(((0.5 + t_6) - t_2))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_2 = Float64(t_0 * t_1) t_3 = Float64(cos(phi1) * Float64(cos(phi2) * t_1)) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = cos(Float64(phi1 - phi2)) t_6 = Float64(0.5 * t_5) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -0.01) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(t_3 + Float64(0.5 + Float64(-0.5 * t_5)))), sqrt(Float64(0.5 + Float64(t_6 - t_3))))); elseif (Float64(lambda1 - lambda2) <= 5e+18) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_4 * Float64(t_0 * t_4)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_2 - t_6))), sqrt(Float64(Float64(0.5 + t_6) - t_2)))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_2 = t_0 * t_1; t_3 = cos(phi1) * (cos(phi2) * t_1); t_4 = sin(((lambda1 - lambda2) / 2.0)); t_5 = cos((phi1 - phi2)); t_6 = 0.5 * t_5; tmp = 0.0; if ((lambda1 - lambda2) <= -0.01) tmp = (R * 2.0) * atan2(sqrt((t_3 + (0.5 + (-0.5 * t_5)))), sqrt((0.5 + (t_6 - t_3)))); elseif ((lambda1 - lambda2) <= 5e+18) tmp = R * (2.0 * atan2(sqrt(((t_4 * (t_0 * t_4)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0))))); else tmp = (R * 2.0) * atan2(sqrt((0.5 + (t_2 - t_6))), sqrt(((0.5 + t_6) - t_2))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(0.5 * t$95$5), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -0.01], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(0.5 + N[(-0.5 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(t$95$6 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 5e+18], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$4 * N[(t$95$0 * t$95$4), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$2 - t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$6), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := t\_0 \cdot t\_1\\
t_3 := \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_1\right)\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \cos \left(\phi_1 - \phi_2\right)\\
t_6 := 0.5 \cdot t\_5\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -0.01:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + \left(0.5 + -0.5 \cdot t\_5\right)}}{\sqrt{0.5 + \left(t\_6 - t\_3\right)}}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 5 \cdot 10^{+18}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 \cdot \left(t\_0 \cdot t\_4\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 - t\_6\right)}}{\sqrt{\left(0.5 + t\_6\right) - t\_2}}\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -0.0100000000000000002Initial program 58.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6459.4%
Applied egg-rr59.4%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6471.5%
Applied egg-rr71.5%
Applied egg-rr58.7%
if -0.0100000000000000002 < (-.f64 lambda1 lambda2) < 5e18Initial program 76.9%
Taylor expanded in lambda1 around 0
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/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
Simplified76.5%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6476.5%
Simplified76.5%
if 5e18 < (-.f64 lambda1 lambda2) Initial program 58.2%
Applied egg-rr58.0%
Taylor expanded in phi1 around 0
atan2-lowering-atan2.f64N/A
Simplified58.0%
Final simplification62.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (- phi1 phi2))))
(t_4
(*
(* R 2.0)
(atan2 (sqrt (+ 0.5 (- t_1 t_3))) (sqrt (- (+ 0.5 t_3) t_1))))))
(if (<= (- lambda1 lambda2) -0.01)
t_4
(if (<= (- lambda1 lambda2) 5e+18)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = t_0 * (0.5 + (-0.5 * cos((lambda1 - lambda2))));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((phi1 - phi2));
double t_4 = (R * 2.0) * atan2(sqrt((0.5 + (t_1 - t_3))), sqrt(((0.5 + t_3) - t_1)));
double tmp;
if ((lambda1 - lambda2) <= -0.01) {
tmp = t_4;
} else if ((lambda1 - lambda2) <= 5e+18) {
tmp = R * (2.0 * atan2(sqrt(((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = t_4;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = t_0 * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = 0.5d0 * cos((phi1 - phi2))
t_4 = (r * 2.0d0) * atan2(sqrt((0.5d0 + (t_1 - t_3))), sqrt(((0.5d0 + t_3) - t_1)))
if ((lambda1 - lambda2) <= (-0.01d0)) then
tmp = t_4
else if ((lambda1 - lambda2) <= 5d+18) then
tmp = r * (2.0d0 * atan2(sqrt(((t_2 * (t_0 * t_2)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)))))
else
tmp = t_4
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = t_0 * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))));
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * Math.cos((phi1 - phi2));
double t_4 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (t_1 - t_3))), Math.sqrt(((0.5 + t_3) - t_1)));
double tmp;
if ((lambda1 - lambda2) <= -0.01) {
tmp = t_4;
} else if ((lambda1 - lambda2) <= 5e+18) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_2 * (t_0 * t_2)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)))));
} else {
tmp = t_4;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = t_0 * (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = 0.5 * math.cos((phi1 - phi2)) t_4 = (R * 2.0) * math.atan2(math.sqrt((0.5 + (t_1 - t_3))), math.sqrt(((0.5 + t_3) - t_1))) tmp = 0 if (lambda1 - lambda2) <= -0.01: tmp = t_4 elif (lambda1 - lambda2) <= 5e+18: tmp = R * (2.0 * math.atan2(math.sqrt(((t_2 * (t_0 * t_2)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))))) else: tmp = t_4 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(t_0 * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(phi1 - phi2))) t_4 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(t_1 - t_3))), sqrt(Float64(Float64(0.5 + t_3) - t_1)))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -0.01) tmp = t_4; elseif (Float64(lambda1 - lambda2) <= 5e+18) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)))))); else tmp = t_4; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = t_0 * (0.5 + (-0.5 * cos((lambda1 - lambda2)))); t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = 0.5 * cos((phi1 - phi2)); t_4 = (R * 2.0) * atan2(sqrt((0.5 + (t_1 - t_3))), sqrt(((0.5 + t_3) - t_1))); tmp = 0.0; if ((lambda1 - lambda2) <= -0.01) tmp = t_4; elseif ((lambda1 - lambda2) <= 5e+18) tmp = R * (2.0 * atan2(sqrt(((t_2 * (t_0 * t_2)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0))))); else tmp = t_4; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(t$95$1 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -0.01], t$95$4, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 5e+18], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := t\_0 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\\
t_4 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_1 - t\_3\right)}}{\sqrt{\left(0.5 + t\_3\right) - t\_1}}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -0.01:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 5 \cdot 10^{+18}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -0.0100000000000000002 or 5e18 < (-.f64 lambda1 lambda2) Initial program 58.4%
Applied egg-rr58.3%
Taylor expanded in phi1 around 0
atan2-lowering-atan2.f64N/A
Simplified58.4%
if -0.0100000000000000002 < (-.f64 lambda1 lambda2) < 5e18Initial program 76.9%
Taylor expanded in lambda1 around 0
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/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
Simplified76.5%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6476.5%
Simplified76.5%
Final simplification62.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (+ 0.5 (* -0.5 t_0)))
(t_2 (* (cos phi1) 0.5))
(t_3 (* (* (cos phi1) (cos phi2)) (- (* 0.5 t_0) 0.5)))
(t_4
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (- (* (cos phi1) t_1) t_2)))
(sqrt (+ (+ 0.5 t_2) t_3))))))
(if (<= phi1 -6.2e-7)
t_4
(if (<= phi1 10.5)
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (- (* (cos phi2) t_1) (* (cos phi2) 0.5))))
(sqrt (+ (+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0))))) t_3))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 + (-0.5 * t_0);
double t_2 = cos(phi1) * 0.5;
double t_3 = (cos(phi1) * cos(phi2)) * ((0.5 * t_0) - 0.5);
double t_4 = (R * 2.0) * atan2(sqrt((0.5 + ((cos(phi1) * t_1) - t_2))), sqrt(((0.5 + t_2) + t_3)));
double tmp;
if (phi1 <= -6.2e-7) {
tmp = t_4;
} else if (phi1 <= 10.5) {
tmp = (R * 2.0) * atan2(sqrt((0.5 + ((cos(phi2) * t_1) - (cos(phi2) * 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + t_3)));
} else {
tmp = t_4;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = 0.5d0 + ((-0.5d0) * t_0)
t_2 = cos(phi1) * 0.5d0
t_3 = (cos(phi1) * cos(phi2)) * ((0.5d0 * t_0) - 0.5d0)
t_4 = (r * 2.0d0) * atan2(sqrt((0.5d0 + ((cos(phi1) * t_1) - t_2))), sqrt(((0.5d0 + t_2) + t_3)))
if (phi1 <= (-6.2d-7)) then
tmp = t_4
else if (phi1 <= 10.5d0) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 + ((cos(phi2) * t_1) - (cos(phi2) * 0.5d0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + t_3)))
else
tmp = t_4
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = 0.5 + (-0.5 * t_0);
double t_2 = Math.cos(phi1) * 0.5;
double t_3 = (Math.cos(phi1) * Math.cos(phi2)) * ((0.5 * t_0) - 0.5);
double t_4 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + ((Math.cos(phi1) * t_1) - t_2))), Math.sqrt(((0.5 + t_2) + t_3)));
double tmp;
if (phi1 <= -6.2e-7) {
tmp = t_4;
} else if (phi1 <= 10.5) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 + ((Math.cos(phi2) * t_1) - (Math.cos(phi2) * 0.5)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + t_3)));
} else {
tmp = t_4;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 0.5 + (-0.5 * t_0) t_2 = math.cos(phi1) * 0.5 t_3 = (math.cos(phi1) * math.cos(phi2)) * ((0.5 * t_0) - 0.5) t_4 = (R * 2.0) * math.atan2(math.sqrt((0.5 + ((math.cos(phi1) * t_1) - t_2))), math.sqrt(((0.5 + t_2) + t_3))) tmp = 0 if phi1 <= -6.2e-7: tmp = t_4 elif phi1 <= 10.5: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 + ((math.cos(phi2) * t_1) - (math.cos(phi2) * 0.5)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + t_3))) else: tmp = t_4 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 + Float64(-0.5 * t_0)) t_2 = Float64(cos(phi1) * 0.5) t_3 = Float64(Float64(cos(phi1) * cos(phi2)) * Float64(Float64(0.5 * t_0) - 0.5)) t_4 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(Float64(cos(phi1) * t_1) - t_2))), sqrt(Float64(Float64(0.5 + t_2) + t_3)))) tmp = 0.0 if (phi1 <= -6.2e-7) tmp = t_4; elseif (phi1 <= 10.5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(Float64(cos(phi2) * t_1) - Float64(cos(phi2) * 0.5)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + t_3)))); else tmp = t_4; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = 0.5 + (-0.5 * t_0); t_2 = cos(phi1) * 0.5; t_3 = (cos(phi1) * cos(phi2)) * ((0.5 * t_0) - 0.5); t_4 = (R * 2.0) * atan2(sqrt((0.5 + ((cos(phi1) * t_1) - t_2))), sqrt(((0.5 + t_2) + t_3))); tmp = 0.0; if (phi1 <= -6.2e-7) tmp = t_4; elseif (phi1 <= 10.5) tmp = (R * 2.0) * atan2(sqrt((0.5 + ((cos(phi2) * t_1) - (cos(phi2) * 0.5)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + t_3))); else tmp = t_4; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * t$95$0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -6.2e-7], t$95$4, If[LessEqual[phi1, 10.5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] - N[(N[Cos[phi2], $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] + t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 + -0.5 \cdot t\_0\\
t_2 := \cos \phi_1 \cdot 0.5\\
t_3 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 \cdot t\_0 - 0.5\right)\\
t_4 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\cos \phi_1 \cdot t\_1 - t\_2\right)}}{\sqrt{\left(0.5 + t\_2\right) + t\_3}}\\
\mathbf{if}\;\phi_1 \leq -6.2 \cdot 10^{-7}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_1 \leq 10.5:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\cos \phi_2 \cdot t\_1 - \cos \phi_2 \cdot 0.5\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + t\_3}}\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi1 < -6.1999999999999999e-7 or 10.5 < phi1 Initial program 50.3%
Applied egg-rr49.6%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6450.5%
Simplified50.5%
Taylor expanded in phi2 around 0
cos-lowering-cos.f6450.8%
Simplified50.8%
if -6.1999999999999999e-7 < phi1 < 10.5Initial program 74.1%
Applied egg-rr67.0%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6467.0%
Simplified67.0%
Final simplification59.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* R 2.0)
(atan2
(exp (* 0.5 (log (+ 0.5 (* (cos phi1) (* -0.5 t_0))))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(* (* (cos phi1) (cos phi2)) (- (* 0.5 t_0) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
return (R * 2.0) * atan2(exp((0.5 * log((0.5 + (cos(phi1) * (-0.5 * t_0)))))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((cos(phi1) * cos(phi2)) * ((0.5 * t_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
real(8) :: t_0
t_0 = cos((lambda1 - lambda2))
code = (r * 2.0d0) * atan2(exp((0.5d0 * log((0.5d0 + (cos(phi1) * ((-0.5d0) * t_0)))))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + ((cos(phi1) * cos(phi2)) * ((0.5d0 * t_0) - 0.5d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
return (R * 2.0) * Math.atan2(Math.exp((0.5 * Math.log((0.5 + (Math.cos(phi1) * (-0.5 * t_0)))))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((Math.cos(phi1) * Math.cos(phi2)) * ((0.5 * t_0) - 0.5)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) return (R * 2.0) * math.atan2(math.exp((0.5 * math.log((0.5 + (math.cos(phi1) * (-0.5 * t_0)))))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((math.cos(phi1) * math.cos(phi2)) * ((0.5 * t_0) - 0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(R * 2.0) * atan(exp(Float64(0.5 * log(Float64(0.5 + Float64(cos(phi1) * Float64(-0.5 * t_0)))))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(Float64(0.5 * t_0) - 0.5)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); tmp = (R * 2.0) * atan2(exp((0.5 * log((0.5 + (cos(phi1) * (-0.5 * t_0)))))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((cos(phi1) * cos(phi2)) * ((0.5 * t_0) - 0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Exp[N[(0.5 * N[Log[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $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[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * t$95$0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{e^{0.5 \cdot \log \left(0.5 + \cos \phi_1 \cdot \left(-0.5 \cdot t\_0\right)\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 \cdot t\_0 - 0.5\right)}}
\end{array}
\end{array}
Initial program 62.4%
Applied egg-rr58.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6443.3%
Simplified43.3%
pow1/2N/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
Applied egg-rr43.3%
Final simplification43.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* -0.5 t_0) 0.5))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(* (* (cos phi1) (cos phi2)) (- (* 0.5 t_0) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), (-0.5 * t_0), 0.5)), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((cos(phi1) * cos(phi2)) * ((0.5 * t_0) - 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(-0.5 * t_0), 0.5)), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(Float64(0.5 * t_0) - 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * t$95$0), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * t$95$0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, -0.5 \cdot t\_0, 0.5\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 \cdot t\_0 - 0.5\right)}}
\end{array}
\end{array}
Initial program 62.4%
Applied egg-rr58.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6443.3%
Simplified43.3%
+-commutativeN/A
distribute-lft-out--N/A
fma-defineN/A
fma-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
+-commutativeN/A
associate--l+N/A
metadata-evalN/A
+-lowering-+.f64N/A
*-rgt-identityN/A
*-lowering-*.f64N/A
*-rgt-identityN/A
cos-lowering-cos.f64N/A
--lowering--.f6443.3%
Applied egg-rr43.3%
Final simplification43.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1 (sin (* 0.5 (- phi1 phi2))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt t_0)
(sqrt (- (+ 0.5 (* (cos phi2) 0.5)) (* (cos phi2) t_0)))))))
(if (<= (- lambda1 lambda2) -5e-6)
t_2
(if (<= (- lambda1 lambda2) 1e-9)
(*
R
(*
2.0
(atan2
t_1
(sqrt
(-
(- 1.0 (pow t_1 2.0))
(* (* (cos phi1) (cos phi2)) (pow (sin (* lambda2 -0.5)) 2.0)))))))
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 = sin((0.5 * (phi1 - phi2)));
double t_2 = (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_0))));
double tmp;
if ((lambda1 - lambda2) <= -5e-6) {
tmp = t_2;
} else if ((lambda1 - lambda2) <= 1e-9) {
tmp = R * (2.0 * atan2(t_1, sqrt(((1.0 - pow(t_1, 2.0)) - ((cos(phi1) * cos(phi2)) * pow(sin((lambda2 * -0.5)), 2.0))))));
} 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)))
t_1 = sin((0.5d0 * (phi1 - phi2)))
t_2 = (r * 2.0d0) * atan2(sqrt(t_0), sqrt(((0.5d0 + (cos(phi2) * 0.5d0)) - (cos(phi2) * t_0))))
if ((lambda1 - lambda2) <= (-5d-6)) then
tmp = t_2
else if ((lambda1 - lambda2) <= 1d-9) then
tmp = r * (2.0d0 * atan2(t_1, sqrt(((1.0d0 - (t_1 ** 2.0d0)) - ((cos(phi1) * cos(phi2)) * (sin((lambda2 * (-0.5d0))) ** 2.0d0))))))
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)));
double t_1 = Math.sin((0.5 * (phi1 - phi2)));
double t_2 = (R * 2.0) * Math.atan2(Math.sqrt(t_0), Math.sqrt(((0.5 + (Math.cos(phi2) * 0.5)) - (Math.cos(phi2) * t_0))));
double tmp;
if ((lambda1 - lambda2) <= -5e-6) {
tmp = t_2;
} else if ((lambda1 - lambda2) <= 1e-9) {
tmp = R * (2.0 * Math.atan2(t_1, Math.sqrt(((1.0 - Math.pow(t_1, 2.0)) - ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((lambda2 * -0.5)), 2.0))))));
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = math.sin((0.5 * (phi1 - phi2))) t_2 = (R * 2.0) * math.atan2(math.sqrt(t_0), math.sqrt(((0.5 + (math.cos(phi2) * 0.5)) - (math.cos(phi2) * t_0)))) tmp = 0 if (lambda1 - lambda2) <= -5e-6: tmp = t_2 elif (lambda1 - lambda2) <= 1e-9: tmp = R * (2.0 * math.atan2(t_1, math.sqrt(((1.0 - math.pow(t_1, 2.0)) - ((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((lambda2 * -0.5)), 2.0)))))) else: tmp = 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 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(t_0), sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * 0.5)) - Float64(cos(phi2) * t_0))))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -5e-6) tmp = t_2; elseif (Float64(lambda1 - lambda2) <= 1e-9) tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(Float64(1.0 - (t_1 ^ 2.0)) - Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(lambda2 * -0.5)) ^ 2.0))))))); 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))); t_1 = sin((0.5 * (phi1 - phi2))); t_2 = (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_0)))); tmp = 0.0; if ((lambda1 - lambda2) <= -5e-6) tmp = t_2; elseif ((lambda1 - lambda2) <= 1e-9) tmp = R * (2.0 * atan2(t_1, sqrt(((1.0 - (t_1 ^ 2.0)) - ((cos(phi1) * cos(phi2)) * (sin((lambda2 * -0.5)) ^ 2.0)))))); else tmp = 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[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -5e-6], t$95$2, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-9], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(N[(1.0 - N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{\left(0.5 + \cos \phi_2 \cdot 0.5\right) - \cos \phi_2 \cdot t\_0}}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -5 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{\left(1 - {t\_1}^{2}\right) - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -5.00000000000000041e-6 or 1.00000000000000006e-9 < (-.f64 lambda1 lambda2) Initial program 58.0%
Applied egg-rr57.7%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.7%
Simplified45.7%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6431.6%
Simplified31.6%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6432.0%
Simplified32.0%
if -5.00000000000000041e-6 < (-.f64 lambda1 lambda2) < 1.00000000000000006e-9Initial program 79.8%
Taylor expanded in lambda1 around 0
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/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
Simplified79.8%
Taylor expanded in lambda2 around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6478.0%
Simplified78.0%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6441.3%
Simplified41.3%
Final simplification33.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))
(t_1
(*
(* R 2.0)
(atan2
(sqrt t_0)
(sqrt (- (+ 0.5 (* (cos phi2) 0.5)) (* (cos phi2) t_0)))))))
(if (<= (- lambda1 lambda2) -5e-6)
t_1
(if (<= (- lambda1 lambda2) 1e-9)
(*
R
(*
2.0
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt
(-
(pow (cos (* phi1 0.5)) 2.0)
(* (* (cos phi1) (cos phi2)) (pow (sin (* lambda2 -0.5)) 2.0)))))))
t_1))))
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 = (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_0))));
double tmp;
if ((lambda1 - lambda2) <= -5e-6) {
tmp = t_1;
} else if ((lambda1 - lambda2) <= 1e-9) {
tmp = R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt((pow(cos((phi1 * 0.5)), 2.0) - ((cos(phi1) * cos(phi2)) * pow(sin((lambda2 * -0.5)), 2.0))))));
} 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 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
t_1 = (r * 2.0d0) * atan2(sqrt(t_0), sqrt(((0.5d0 + (cos(phi2) * 0.5d0)) - (cos(phi2) * t_0))))
if ((lambda1 - lambda2) <= (-5d-6)) then
tmp = t_1
else if ((lambda1 - lambda2) <= 1d-9) then
tmp = r * (2.0d0 * atan2(sin((0.5d0 * (phi1 - phi2))), sqrt(((cos((phi1 * 0.5d0)) ** 2.0d0) - ((cos(phi1) * cos(phi2)) * (sin((lambda2 * (-0.5d0))) ** 2.0d0))))))
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 = 0.5 + (-0.5 * Math.cos((lambda1 - lambda2)));
double t_1 = (R * 2.0) * Math.atan2(Math.sqrt(t_0), Math.sqrt(((0.5 + (Math.cos(phi2) * 0.5)) - (Math.cos(phi2) * t_0))));
double tmp;
if ((lambda1 - lambda2) <= -5e-6) {
tmp = t_1;
} else if ((lambda1 - lambda2) <= 1e-9) {
tmp = R * (2.0 * Math.atan2(Math.sin((0.5 * (phi1 - phi2))), Math.sqrt((Math.pow(Math.cos((phi1 * 0.5)), 2.0) - ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((lambda2 * -0.5)), 2.0))))));
} else {
tmp = t_1;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) t_1 = (R * 2.0) * math.atan2(math.sqrt(t_0), math.sqrt(((0.5 + (math.cos(phi2) * 0.5)) - (math.cos(phi2) * t_0)))) tmp = 0 if (lambda1 - lambda2) <= -5e-6: tmp = t_1 elif (lambda1 - lambda2) <= 1e-9: tmp = R * (2.0 * math.atan2(math.sin((0.5 * (phi1 - phi2))), math.sqrt((math.pow(math.cos((phi1 * 0.5)), 2.0) - ((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((lambda2 * -0.5)), 2.0)))))) else: tmp = t_1 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(t_0), sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * 0.5)) - Float64(cos(phi2) * t_0))))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -5e-6) tmp = t_1; elseif (Float64(lambda1 - lambda2) <= 1e-9) tmp = Float64(R * Float64(2.0 * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64((cos(Float64(phi1 * 0.5)) ^ 2.0) - Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(lambda2 * -0.5)) ^ 2.0))))))); else tmp = t_1; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); t_1 = (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_0)))); tmp = 0.0; if ((lambda1 - lambda2) <= -5e-6) tmp = t_1; elseif ((lambda1 - lambda2) <= 1e-9) tmp = R * (2.0 * atan2(sin((0.5 * (phi1 - phi2))), sqrt(((cos((phi1 * 0.5)) ^ 2.0) - ((cos(phi1) * cos(phi2)) * (sin((lambda2 * -0.5)) ^ 2.0)))))); else tmp = t_1; 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[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -5e-6], t$95$1, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 1e-9], N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{\left(0.5 + \cos \phi_2 \cdot 0.5\right) - \cos \phi_2 \cdot t\_0}}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -5 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{{\cos \left(\phi_1 \cdot 0.5\right)}^{2} - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -5.00000000000000041e-6 or 1.00000000000000006e-9 < (-.f64 lambda1 lambda2) Initial program 58.0%
Applied egg-rr57.7%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.7%
Simplified45.7%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6431.6%
Simplified31.6%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6432.0%
Simplified32.0%
if -5.00000000000000041e-6 < (-.f64 lambda1 lambda2) < 1.00000000000000006e-9Initial program 79.8%
Taylor expanded in lambda1 around 0
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/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
Simplified79.8%
Taylor expanded in lambda2 around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6478.0%
Simplified78.0%
Taylor expanded in phi2 around 0
unpow2N/A
1-sub-sinN/A
unpow2N/A
pow-lowering-pow.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6456.6%
Simplified56.6%
Taylor expanded in lambda1 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6431.4%
Simplified31.4%
Final simplification31.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (* -0.5 t_0))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(* (* (cos phi1) (cos phi2)) (- (* 0.5 t_0) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
return (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((cos(phi1) * cos(phi2)) * ((0.5 * t_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
real(8) :: t_0
t_0 = cos((lambda1 - lambda2))
code = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * ((-0.5d0) * t_0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + ((cos(phi1) * cos(phi2)) * ((0.5d0 * t_0) - 0.5d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * (-0.5 * t_0)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((Math.cos(phi1) * Math.cos(phi2)) * ((0.5 * t_0) - 0.5)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) return (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * (-0.5 * t_0)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((math.cos(phi1) * math.cos(phi2)) * ((0.5 * t_0) - 0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(-0.5 * t_0)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(Float64(0.5 * t_0) - 0.5)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * (-0.5 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((cos(phi1) * cos(phi2)) * ((0.5 * t_0) - 0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * t$95$0), $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[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * t$95$0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(-0.5 \cdot t\_0\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 \cdot t\_0 - 0.5\right)}}
\end{array}
\end{array}
Initial program 62.4%
Applied egg-rr58.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6443.3%
Simplified43.3%
+-commutativeN/A
+-lowering-+.f64N/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-commutativeN/A
associate--l+N/A
metadata-evalN/A
+-lowering-+.f64N/A
*-rgt-identityN/A
*-lowering-*.f64N/A
*-rgt-identityN/A
cos-lowering-cos.f64N/A
--lowering--.f6443.3%
Applied egg-rr43.3%
Final simplification43.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* -0.5 (cos (- lambda1 lambda2)))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* (cos phi1) t_0)))
(sqrt
(+
0.5
(-
(* 0.5 (cos (- phi1 phi2)))
(* (cos phi1) (* (cos phi2) (+ 0.5 t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -0.5 * cos((lambda1 - lambda2));
return (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * t_0))), sqrt((0.5 + ((0.5 * cos((phi1 - phi2))) - (cos(phi1) * (cos(phi2) * (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
t_0 = (-0.5d0) * cos((lambda1 - lambda2))
code = (r * 2.0d0) * atan2(sqrt((0.5d0 + (cos(phi1) * t_0))), sqrt((0.5d0 + ((0.5d0 * cos((phi1 - phi2))) - (cos(phi1) * (cos(phi2) * (0.5d0 + t_0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -0.5 * Math.cos((lambda1 - lambda2));
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 + (Math.cos(phi1) * t_0))), Math.sqrt((0.5 + ((0.5 * Math.cos((phi1 - phi2))) - (Math.cos(phi1) * (Math.cos(phi2) * (0.5 + t_0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = -0.5 * math.cos((lambda1 - lambda2)) return (R * 2.0) * math.atan2(math.sqrt((0.5 + (math.cos(phi1) * t_0))), math.sqrt((0.5 + ((0.5 * math.cos((phi1 - phi2))) - (math.cos(phi1) * (math.cos(phi2) * (0.5 + t_0)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(-0.5 * cos(Float64(lambda1 - lambda2))) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * t_0))), sqrt(Float64(0.5 + Float64(Float64(0.5 * cos(Float64(phi1 - phi2))) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + t_0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = -0.5 * cos((lambda1 - lambda2)); tmp = (R * 2.0) * atan2(sqrt((0.5 + (cos(phi1) * t_0))), sqrt((0.5 + ((0.5 * cos((phi1 - phi2))) - (cos(phi1) * (cos(phi2) * (0.5 + t_0))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot t\_0}}{\sqrt{0.5 + \left(0.5 \cdot \cos \left(\phi_1 - \phi_2\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + t\_0\right)\right)\right)}}
\end{array}
\end{array}
Initial program 62.4%
Applied egg-rr58.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6443.3%
Simplified43.3%
Applied egg-rr43.3%
Final simplification43.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(*
(* R 2.0)
(atan2
(sqrt t_0)
(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)));
return (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
code = (r * 2.0d0) * atan2(sqrt(t_0), sqrt(((0.5d0 + (cos(phi2) * 0.5d0)) - (cos(phi2) * t_0))))
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)));
return (R * 2.0) * Math.atan2(Math.sqrt(t_0), Math.sqrt(((0.5 + (Math.cos(phi2) * 0.5)) - (Math.cos(phi2) * t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) return (R * 2.0) * math.atan2(math.sqrt(t_0), math.sqrt(((0.5 + (math.cos(phi2) * 0.5)) - (math.cos(phi2) * t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) return Float64(Float64(R * 2.0) * atan(sqrt(t_0), sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * 0.5)) - Float64(cos(phi2) * t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); tmp = (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi2) * 0.5)) - (cos(phi2) * t_0)))); 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]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $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)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{\left(0.5 + \cos \phi_2 \cdot 0.5\right) - \cos \phi_2 \cdot t\_0}}
\end{array}
\end{array}
Initial program 62.4%
Applied egg-rr58.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6443.3%
Simplified43.3%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6426.1%
Simplified26.1%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6426.3%
Simplified26.3%
Final simplification26.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(*
(* R 2.0)
(atan2
(sqrt t_0)
(sqrt (- (+ 0.5 (* (cos phi1) 0.5)) (* (cos phi1) t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2)));
return (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))
code = (r * 2.0d0) * atan2(sqrt(t_0), sqrt(((0.5d0 + (cos(phi1) * 0.5d0)) - (cos(phi1) * t_0))))
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)));
return (R * 2.0) * Math.atan2(Math.sqrt(t_0), Math.sqrt(((0.5 + (Math.cos(phi1) * 0.5)) - (Math.cos(phi1) * t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 + (-0.5 * math.cos((lambda1 - lambda2))) return (R * 2.0) * math.atan2(math.sqrt(t_0), math.sqrt(((0.5 + (math.cos(phi1) * 0.5)) - (math.cos(phi1) * t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))) return Float64(Float64(R * 2.0) * atan(sqrt(t_0), sqrt(Float64(Float64(0.5 + Float64(cos(phi1) * 0.5)) - Float64(cos(phi1) * t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 + (-0.5 * cos((lambda1 - lambda2))); tmp = (R * 2.0) * atan2(sqrt(t_0), sqrt(((0.5 + (cos(phi1) * 0.5)) - (cos(phi1) * t_0)))); 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]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $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)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{\left(0.5 + \cos \phi_1 \cdot 0.5\right) - \cos \phi_1 \cdot t\_0}}
\end{array}
\end{array}
Initial program 62.4%
Applied egg-rr58.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6443.3%
Simplified43.3%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6426.1%
Simplified26.1%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6426.3%
Simplified26.3%
Final simplification26.3%
herbie shell --seed 2024152
(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))))))))))