
(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 25 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) (cos phi1)))
(t_1
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (+ t_1 (* t_2 (* t_0 t_2)))))
(if (or (<= lambda2 -3e-5) (not (<= lambda2 250000.0)))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_1
(* (cos phi1) (* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0)))))
(sqrt (- 1.0 t_3)))))
(*
R
(*
2.0
(atan2
(sqrt t_3)
(sqrt (- 1.0 (+ t_1 (* t_0 (pow (sin (* lambda1 0.5)) 2.0)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_1 + (t_2 * (t_0 * t_2));
double tmp;
if ((lambda2 <= -3e-5) || !(lambda2 <= 250000.0)) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0))))), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - (t_1 + (t_0 * pow(sin((lambda1 * 0.5)), 2.0)))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos(phi2) * cos(phi1)
t_1 = ((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = t_1 + (t_2 * (t_0 * t_2))
if ((lambda2 <= (-3d-5)) .or. (.not. (lambda2 <= 250000.0d0))) then
tmp = r * (2.0d0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (sin(((-0.5d0) * lambda2)) ** 2.0d0))))), sqrt((1.0d0 - t_3))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_3), sqrt((1.0d0 - (t_1 + (t_0 * (sin((lambda1 * 0.5d0)) ** 2.0d0)))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi2) * Math.cos(phi1);
double t_1 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0);
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_1 + (t_2 * (t_0 * t_2));
double tmp;
if ((lambda2 <= -3e-5) || !(lambda2 <= 250000.0)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_1 + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * lambda2)), 2.0))))), Math.sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_3), Math.sqrt((1.0 - (t_1 + (t_0 * Math.pow(Math.sin((lambda1 * 0.5)), 2.0)))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.cos(phi1) t_1 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = t_1 + (t_2 * (t_0 * t_2)) tmp = 0 if (lambda2 <= -3e-5) or not (lambda2 <= 250000.0): tmp = R * (2.0 * math.atan2(math.sqrt((t_1 + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin((-0.5 * lambda2)), 2.0))))), math.sqrt((1.0 - t_3)))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_3), math.sqrt((1.0 - (t_1 + (t_0 * math.pow(math.sin((lambda1 * 0.5)), 2.0))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_1 + Float64(t_2 * Float64(t_0 * t_2))) tmp = 0.0 if ((lambda2 <= -3e-5) || !(lambda2 <= 250000.0)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(cos(phi1) * Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0))))), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - Float64(t_1 + Float64(t_0 * (sin(Float64(lambda1 * 0.5)) ^ 2.0)))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * cos(phi1); t_1 = ((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0; t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = t_1 + (t_2 * (t_0 * t_2)); tmp = 0.0; if ((lambda2 <= -3e-5) || ~((lambda2 <= 250000.0))) tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (sin((-0.5 * lambda2)) ^ 2.0))))), sqrt((1.0 - t_3)))); else tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - (t_1 + (t_0 * (sin((lambda1 * 0.5)) ^ 2.0))))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 + N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[lambda2, -3e-5], N[Not[LessEqual[lambda2, 250000.0]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(t$95$0 * N[Power[N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_1 + t\_2 \cdot \left(t\_0 \cdot t\_2\right)\\
\mathbf{if}\;\lambda_2 \leq -3 \cdot 10^{-5} \lor \neg \left(\lambda_2 \leq 250000\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}\right)}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - \left(t\_1 + t\_0 \cdot {\sin \left(\lambda_1 \cdot 0.5\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if lambda2 < -3.00000000000000008e-5 or 2.5e5 < lambda2 Initial program 47.5%
div-sub47.5%
sin-diff48.4%
div-inv48.4%
metadata-eval48.4%
div-inv48.4%
metadata-eval48.4%
div-inv48.4%
metadata-eval48.4%
div-inv48.4%
metadata-eval48.4%
Applied egg-rr48.4%
div-sub47.5%
sin-diff48.4%
div-inv48.4%
metadata-eval48.4%
div-inv48.4%
metadata-eval48.4%
div-inv48.4%
metadata-eval48.4%
div-inv48.4%
metadata-eval48.4%
Applied egg-rr61.8%
Taylor expanded in lambda1 around 0 62.3%
*-commutative62.3%
Simplified62.3%
if -3.00000000000000008e-5 < lambda2 < 2.5e5Initial program 77.0%
div-sub77.0%
sin-diff78.1%
div-inv78.1%
metadata-eval78.1%
div-inv78.1%
metadata-eval78.1%
div-inv78.1%
metadata-eval78.1%
div-inv78.1%
metadata-eval78.1%
Applied egg-rr78.1%
div-sub77.0%
sin-diff78.1%
div-inv78.1%
metadata-eval78.1%
div-inv78.1%
metadata-eval78.1%
div-inv78.1%
metadata-eval78.1%
div-inv78.1%
metadata-eval78.1%
Applied egg-rr96.1%
Taylor expanded in lambda2 around 0 96.1%
associate-*r*96.1%
*-commutative96.1%
Simplified96.1%
Final simplification79.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi2)
(* (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0) (cos phi1))
t_0))
(sqrt (- 1.0 (+ t_0 (* t_1 (* (* (cos phi2) (cos phi1)) t_1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(fma(cos(phi2), (pow(sin((-0.5 * (lambda2 - lambda1))), 2.0) * cos(phi1)), t_0)), sqrt((1.0 - (t_0 + (t_1 * ((cos(phi2) * cos(phi1)) * t_1)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), Float64((sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0) * cos(phi1)), t_0)), sqrt(Float64(1.0 - Float64(t_0 + Float64(t_1 * Float64(Float64(cos(phi2) * cos(phi1)) * t_1)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $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[Cos[phi2], $MachinePrecision] * N[(N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(t$95$1 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $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) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2} \cdot \cos \phi_1, t\_0\right)}}{\sqrt{1 - \left(t\_0 + t\_1 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.1%
div-sub62.1%
sin-diff63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr63.2%
div-sub62.1%
sin-diff63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr78.8%
Taylor expanded in phi1 around inf 78.8%
Simplified78.8%
Final simplification78.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (+ t_0 (* t_1 (* (* (cos phi2) (cos phi1)) t_1)))))
(if (or (<= lambda1 -1e-8) (not (<= lambda1 4.2e-28)))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_0 (* (cos phi1) (* (cos phi2) (pow (sin (* lambda1 0.5)) 2.0)))))
(sqrt (- 1.0 t_2)))))
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt
(-
1.0
(+
t_0
(*
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 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))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_0 + (t_1 * ((cos(phi2) * cos(phi1)) * t_1));
double tmp;
if ((lambda1 <= -1e-8) || !(lambda1 <= 4.2e-28)) {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * pow(sin((lambda1 * 0.5)), 2.0))))), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - (t_0 + (cos(phi1) * (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0))))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = ((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = t_0 + (t_1 * ((cos(phi2) * cos(phi1)) * t_1))
if ((lambda1 <= (-1d-8)) .or. (.not. (lambda1 <= 4.2d-28))) then
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (sin((lambda1 * 0.5d0)) ** 2.0d0))))), sqrt((1.0d0 - t_2))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_2), sqrt((1.0d0 - (t_0 + (cos(phi1) * (cos(phi2) * (sin(((-0.5d0) * lambda2)) ** 2.0d0))))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_0 + (t_1 * ((Math.cos(phi2) * Math.cos(phi1)) * t_1));
double tmp;
if ((lambda1 <= -1e-8) || !(lambda1 <= 4.2e-28)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin((lambda1 * 0.5)), 2.0))))), Math.sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_2), Math.sqrt((1.0 - (t_0 + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * lambda2)), 2.0))))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = t_0 + (t_1 * ((math.cos(phi2) * math.cos(phi1)) * t_1)) tmp = 0 if (lambda1 <= -1e-8) or not (lambda1 <= 4.2e-28): tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin((lambda1 * 0.5)), 2.0))))), math.sqrt((1.0 - t_2)))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_2), math.sqrt((1.0 - (t_0 + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin((-0.5 * lambda2)), 2.0)))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_0 + Float64(t_1 * Float64(Float64(cos(phi2) * cos(phi1)) * t_1))) tmp = 0.0 if ((lambda1 <= -1e-8) || !(lambda1 <= 4.2e-28)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * Float64(cos(phi2) * (sin(Float64(lambda1 * 0.5)) ^ 2.0))))), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - Float64(t_0 + Float64(cos(phi1) * Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0))))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = t_0 + (t_1 * ((cos(phi2) * cos(phi1)) * t_1)); tmp = 0.0; if ((lambda1 <= -1e-8) || ~((lambda1 <= 4.2e-28))) tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (sin((lambda1 * 0.5)) ^ 2.0))))), sqrt((1.0 - t_2)))); else tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - (t_0 + (cos(phi1) * (cos(phi2) * (sin((-0.5 * lambda2)) ^ 2.0)))))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 + N[(t$95$1 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[lambda1, -1e-8], N[Not[LessEqual[lambda1, 4.2e-28]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $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) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_0 + t\_1 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right)\\
\mathbf{if}\;\lambda_1 \leq -1 \cdot 10^{-8} \lor \neg \left(\lambda_1 \leq 4.2 \cdot 10^{-28}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin \left(\lambda_1 \cdot 0.5\right)}^{2}\right)}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - \left(t\_0 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}\right)\right)}}\right)\\
\end{array}
\end{array}
if lambda1 < -1e-8 or 4.20000000000000013e-28 < lambda1 Initial program 51.4%
div-sub51.4%
sin-diff52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
Applied egg-rr52.7%
div-sub51.4%
sin-diff52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
Applied egg-rr61.5%
Taylor expanded in lambda2 around 0 61.6%
if -1e-8 < lambda1 < 4.20000000000000013e-28Initial program 73.7%
div-sub73.7%
sin-diff74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
Applied egg-rr74.5%
div-sub73.7%
sin-diff74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
Applied egg-rr97.5%
Taylor expanded in lambda1 around 0 97.5%
*-commutative97.1%
Simplified97.5%
Final simplification78.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sqrt (- 1.0 (+ t_0 (* t_1 (* (* (cos phi2) (cos phi1)) t_1)))))))
(if (or (<= lambda1 -9e-9) (not (<= lambda1 4.2e-28)))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_0 (* (cos phi1) (* (cos phi2) (pow (sin (* lambda1 0.5)) 2.0)))))
t_2)))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_0
(* (cos phi1) (* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0)))))
t_2))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sqrt((1.0 - (t_0 + (t_1 * ((cos(phi2) * cos(phi1)) * t_1)))));
double tmp;
if ((lambda1 <= -9e-9) || !(lambda1 <= 4.2e-28)) {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * pow(sin((lambda1 * 0.5)), 2.0))))), t_2));
} else {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0))))), 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 = ((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = sqrt((1.0d0 - (t_0 + (t_1 * ((cos(phi2) * cos(phi1)) * t_1)))))
if ((lambda1 <= (-9d-9)) .or. (.not. (lambda1 <= 4.2d-28))) then
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (sin((lambda1 * 0.5d0)) ** 2.0d0))))), t_2))
else
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (sin(((-0.5d0) * lambda2)) ** 2.0d0))))), 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.pow(((Math.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.sqrt((1.0 - (t_0 + (t_1 * ((Math.cos(phi2) * Math.cos(phi1)) * t_1)))));
double tmp;
if ((lambda1 <= -9e-9) || !(lambda1 <= 4.2e-28)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin((lambda1 * 0.5)), 2.0))))), t_2));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + (Math.cos(phi1) * (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * lambda2)), 2.0))))), t_2));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.sqrt((1.0 - (t_0 + (t_1 * ((math.cos(phi2) * math.cos(phi1)) * t_1))))) tmp = 0 if (lambda1 <= -9e-9) or not (lambda1 <= 4.2e-28): tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin((lambda1 * 0.5)), 2.0))))), t_2)) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + (math.cos(phi1) * (math.cos(phi2) * math.pow(math.sin((-0.5 * lambda2)), 2.0))))), t_2)) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sqrt(Float64(1.0 - Float64(t_0 + Float64(t_1 * Float64(Float64(cos(phi2) * cos(phi1)) * t_1))))) tmp = 0.0 if ((lambda1 <= -9e-9) || !(lambda1 <= 4.2e-28)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * Float64(cos(phi2) * (sin(Float64(lambda1 * 0.5)) ^ 2.0))))), t_2))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0))))), t_2))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sqrt((1.0 - (t_0 + (t_1 * ((cos(phi2) * cos(phi1)) * t_1))))); tmp = 0.0; if ((lambda1 <= -9e-9) || ~((lambda1 <= 4.2e-28))) tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (sin((lambda1 * 0.5)) ^ 2.0))))), t_2)); else tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (cos(phi2) * (sin((-0.5 * lambda2)) ^ 2.0))))), t_2)); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 - N[(t$95$0 + N[(t$95$1 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[lambda1, -9e-9], N[Not[LessEqual[lambda1, 4.2e-28]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $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) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sqrt{1 - \left(t\_0 + t\_1 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right)\right)}\\
\mathbf{if}\;\lambda_1 \leq -9 \cdot 10^{-9} \lor \neg \left(\lambda_1 \leq 4.2 \cdot 10^{-28}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin \left(\lambda_1 \cdot 0.5\right)}^{2}\right)}}{t\_2}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}\right)}}{t\_2}\right)\\
\end{array}
\end{array}
if lambda1 < -8.99999999999999953e-9 or 4.20000000000000013e-28 < lambda1 Initial program 51.4%
div-sub51.4%
sin-diff52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
Applied egg-rr52.7%
div-sub51.4%
sin-diff52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
div-inv52.7%
metadata-eval52.7%
Applied egg-rr61.5%
Taylor expanded in lambda2 around 0 61.6%
if -8.99999999999999953e-9 < lambda1 < 4.20000000000000013e-28Initial program 73.7%
div-sub73.7%
sin-diff74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
Applied egg-rr74.5%
div-sub73.7%
sin-diff74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
div-inv74.5%
metadata-eval74.5%
Applied egg-rr97.5%
Taylor expanded in lambda1 around 0 97.1%
*-commutative97.1%
Simplified97.1%
Final simplification78.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_2 (+ t_1 (* t_0 (* (* (cos phi2) (cos phi1)) t_0)))))
(if (or (<= lambda2 -8.2e-44) (not (<= lambda2 5e-32)))
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt
(fabs
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos (- lambda1 lambda2)) 0.5))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0))))))))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_1 (* (cos phi1) (* (cos phi2) (pow (sin (* lambda1 0.5)) 2.0)))))
(sqrt (- 1.0 t_2))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_2 = t_1 + (t_0 * ((cos(phi2) * cos(phi1)) * t_0));
double tmp;
if ((lambda2 <= -8.2e-44) || !(lambda2 <= 5e-32)) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt(fabs((1.0 - fma(cos(phi1), (cos(phi2) * fma(-0.5, cos((lambda1 - lambda2)), 0.5)), pow(sin((-0.5 * (phi2 - phi1))), 2.0)))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * pow(sin((lambda1 * 0.5)), 2.0))))), sqrt((1.0 - t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_2 = Float64(t_1 + Float64(t_0 * Float64(Float64(cos(phi2) * cos(phi1)) * t_0))) tmp = 0.0 if ((lambda2 <= -8.2e-44) || !(lambda2 <= 5e-32)) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(abs(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(cos(phi1) * Float64(cos(phi2) * (sin(Float64(lambda1 * 0.5)) ^ 2.0))))), sqrt(Float64(1.0 - t_2))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + N[(t$95$0 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[lambda2, -8.2e-44], N[Not[LessEqual[lambda2, 5e-32]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[Abs[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_2 := t\_1 + t\_0 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right)\\
\mathbf{if}\;\lambda_2 \leq -8.2 \cdot 10^{-44} \lor \neg \left(\lambda_2 \leq 5 \cdot 10^{-32}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{\left|1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)\right|}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin \left(\lambda_1 \cdot 0.5\right)}^{2}\right)}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
\end{array}
if lambda2 < -8.19999999999999984e-44 or 5e-32 < lambda2 Initial program 50.9%
div-sub50.9%
sin-diff51.7%
div-inv51.7%
metadata-eval51.7%
div-inv51.7%
metadata-eval51.7%
div-inv51.7%
metadata-eval51.7%
div-inv51.7%
metadata-eval51.7%
Applied egg-rr51.7%
Applied egg-rr52.1%
unpow252.1%
rem-sqrt-square52.1%
+-commutative52.1%
fma-define52.1%
Simplified52.1%
if -8.19999999999999984e-44 < lambda2 < 5e-32Initial program 76.4%
div-sub76.4%
sin-diff77.6%
div-inv77.6%
metadata-eval77.6%
div-inv77.6%
metadata-eval77.6%
div-inv77.6%
metadata-eval77.6%
div-inv77.6%
metadata-eval77.6%
Applied egg-rr77.6%
div-sub76.4%
sin-diff77.6%
div-inv77.6%
metadata-eval77.6%
div-inv77.6%
metadata-eval77.6%
div-inv77.6%
metadata-eval77.6%
div-inv77.6%
metadata-eval77.6%
Applied egg-rr97.2%
Taylor expanded in lambda2 around 0 97.2%
Final simplification72.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0)
(* t_0 (* (* (cos phi2) (cos phi1)) 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(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0) + (t_0 * ((cos(phi2) * cos(phi1)) * 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 = (((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0) + (t_0 * ((cos(phi2) * cos(phi1)) * 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.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0) + (t_0 * ((Math.cos(phi2) * Math.cos(phi1)) * 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.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) + (t_0 * ((math.cos(phi2) * math.cos(phi1)) * 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((Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(t_0 * Float64(Float64(cos(phi2) * cos(phi1)) * 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 = (((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0) + (t_0 * ((cos(phi2) * cos(phi1)) * 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[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $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 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2} + t\_0 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 62.1%
div-sub62.1%
sin-diff63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr63.2%
div-sub62.1%
sin-diff63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr78.8%
Final simplification78.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* t_1 (* (* (cos phi2) (cos phi1)) t_1)))
(t_3 (+ t_0 t_2))
(t_4 (sin (* phi2 -0.5))))
(if (or (<= phi1 -0.0028) (not (<= phi1 0.0043)))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_0 (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(sqrt (- 1.0 t_3)))))
(*
R
(*
2.0
(atan2
(sqrt t_3)
(sqrt
(-
1.0
(+
t_2
(pow
(+
t_4
(* phi1 (+ (* -0.125 (* phi1 t_4)) (* 0.5 (cos (* phi2 -0.5))))))
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))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * ((cos(phi2) * cos(phi1)) * t_1);
double t_3 = t_0 + t_2;
double t_4 = sin((phi2 * -0.5));
double tmp;
if ((phi1 <= -0.0028) || !(phi1 <= 0.0043)) {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - (t_2 + pow((t_4 + (phi1 * ((-0.125 * (phi1 * t_4)) + (0.5 * cos((phi2 * -0.5)))))), 2.0))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = ((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = t_1 * ((cos(phi2) * cos(phi1)) * t_1)
t_3 = t_0 + t_2
t_4 = sin((phi2 * (-0.5d0)))
if ((phi1 <= (-0.0028d0)) .or. (.not. (phi1 <= 0.0043d0))) then
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (cos(phi1) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)))), sqrt((1.0d0 - t_3))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_3), sqrt((1.0d0 - (t_2 + ((t_4 + (phi1 * (((-0.125d0) * (phi1 * t_4)) + (0.5d0 * cos((phi2 * (-0.5d0))))))) ** 2.0d0))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * ((Math.cos(phi2) * Math.cos(phi1)) * t_1);
double t_3 = t_0 + t_2;
double t_4 = Math.sin((phi2 * -0.5));
double tmp;
if ((phi1 <= -0.0028) || !(phi1 <= 0.0043)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + (Math.cos(phi1) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)))), Math.sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_3), Math.sqrt((1.0 - (t_2 + Math.pow((t_4 + (phi1 * ((-0.125 * (phi1 * t_4)) + (0.5 * Math.cos((phi2 * -0.5)))))), 2.0))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = t_1 * ((math.cos(phi2) * math.cos(phi1)) * t_1) t_3 = t_0 + t_2 t_4 = math.sin((phi2 * -0.5)) tmp = 0 if (phi1 <= -0.0028) or not (phi1 <= 0.0043): tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + (math.cos(phi1) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)))), math.sqrt((1.0 - t_3)))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_3), math.sqrt((1.0 - (t_2 + math.pow((t_4 + (phi1 * ((-0.125 * (phi1 * t_4)) + (0.5 * math.cos((phi2 * -0.5)))))), 2.0)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_1 * Float64(Float64(cos(phi2) * cos(phi1)) * t_1)) t_3 = Float64(t_0 + t_2) t_4 = sin(Float64(phi2 * -0.5)) tmp = 0.0 if ((phi1 <= -0.0028) || !(phi1 <= 0.0043)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - Float64(t_2 + (Float64(t_4 + Float64(phi1 * Float64(Float64(-0.125 * Float64(phi1 * t_4)) + Float64(0.5 * cos(Float64(phi2 * -0.5)))))) ^ 2.0))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = t_1 * ((cos(phi2) * cos(phi1)) * t_1); t_3 = t_0 + t_2; t_4 = sin((phi2 * -0.5)); tmp = 0.0; if ((phi1 <= -0.0028) || ~((phi1 <= 0.0043))) tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)))), sqrt((1.0 - t_3)))); else tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - (t_2 + ((t_4 + (phi1 * ((-0.125 * (phi1 * t_4)) + (0.5 * cos((phi2 * -0.5)))))) ^ 2.0)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi1, -0.0028], N[Not[LessEqual[phi1, 0.0043]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[Power[N[(t$95$4 + N[(phi1 * N[(N[(-0.125 * N[(phi1 * t$95$4), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $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) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right)\\
t_3 := t\_0 + t\_2\\
t_4 := \sin \left(\phi_2 \cdot -0.5\right)\\
\mathbf{if}\;\phi_1 \leq -0.0028 \lor \neg \left(\phi_1 \leq 0.0043\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - \left(t\_2 + {\left(t\_4 + \phi_1 \cdot \left(-0.125 \cdot \left(\phi_1 \cdot t\_4\right) + 0.5 \cdot \cos \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.00279999999999999997 or 0.0043 < phi1 Initial program 48.3%
div-sub48.3%
sin-diff50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
Applied egg-rr50.2%
div-sub48.3%
sin-diff50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
Applied egg-rr79.5%
Taylor expanded in phi2 around 0 60.4%
*-commutative60.4%
Simplified60.4%
if -0.00279999999999999997 < phi1 < 0.0043Initial program 76.9%
div-sub76.9%
sin-diff76.9%
div-inv76.9%
metadata-eval76.9%
div-inv76.9%
metadata-eval76.9%
div-inv76.9%
metadata-eval76.9%
div-inv76.9%
metadata-eval76.9%
Applied egg-rr76.9%
Taylor expanded in phi1 around 0 77.9%
Final simplification68.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_1 (sin (* phi2 -0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_2 (* (* (cos phi2) (cos phi1)) t_2)))
(t_4
(+
t_3
(pow
(+
t_1
(* phi1 (+ (* -0.125 (* phi1 t_1)) (* 0.5 (cos (* phi2 -0.5))))))
2.0))))
(if (or (<= phi1 -0.00043) (not (<= phi1 0.0028)))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_0 (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(sqrt (- 1.0 (+ t_0 t_3))))))
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_1 = sin((phi2 * -0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((cos(phi2) * cos(phi1)) * t_2);
double t_4 = t_3 + pow((t_1 + (phi1 * ((-0.125 * (phi1 * t_1)) + (0.5 * cos((phi2 * -0.5)))))), 2.0);
double tmp;
if ((phi1 <= -0.00043) || !(phi1 <= 0.0028)) {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), sqrt((1.0 - (t_0 + t_3)))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = ((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0
t_1 = sin((phi2 * (-0.5d0)))
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = t_2 * ((cos(phi2) * cos(phi1)) * t_2)
t_4 = t_3 + ((t_1 + (phi1 * (((-0.125d0) * (phi1 * t_1)) + (0.5d0 * cos((phi2 * (-0.5d0))))))) ** 2.0d0)
if ((phi1 <= (-0.00043d0)) .or. (.not. (phi1 <= 0.0028d0))) then
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (cos(phi1) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)))), sqrt((1.0d0 - (t_0 + t_3)))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_4), sqrt((1.0d0 - t_4))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0);
double t_1 = Math.sin((phi2 * -0.5));
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((Math.cos(phi2) * Math.cos(phi1)) * t_2);
double t_4 = t_3 + Math.pow((t_1 + (phi1 * ((-0.125 * (phi1 * t_1)) + (0.5 * Math.cos((phi2 * -0.5)))))), 2.0);
double tmp;
if ((phi1 <= -0.00043) || !(phi1 <= 0.0028)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + (Math.cos(phi1) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)))), Math.sqrt((1.0 - (t_0 + t_3)))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_4), Math.sqrt((1.0 - t_4))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) t_1 = math.sin((phi2 * -0.5)) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = t_2 * ((math.cos(phi2) * math.cos(phi1)) * t_2) t_4 = t_3 + math.pow((t_1 + (phi1 * ((-0.125 * (phi1 * t_1)) + (0.5 * math.cos((phi2 * -0.5)))))), 2.0) tmp = 0 if (phi1 <= -0.00043) or not (phi1 <= 0.0028): tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + (math.cos(phi1) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)))), math.sqrt((1.0 - (t_0 + t_3))))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_4), math.sqrt((1.0 - t_4)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_1 = sin(Float64(phi2 * -0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_2 * Float64(Float64(cos(phi2) * cos(phi1)) * t_2)) t_4 = Float64(t_3 + (Float64(t_1 + Float64(phi1 * Float64(Float64(-0.125 * Float64(phi1 * t_1)) + Float64(0.5 * cos(Float64(phi2 * -0.5)))))) ^ 2.0)) tmp = 0.0 if ((phi1 <= -0.00043) || !(phi1 <= 0.0028)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), sqrt(Float64(1.0 - Float64(t_0 + t_3)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0; t_1 = sin((phi2 * -0.5)); t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = t_2 * ((cos(phi2) * cos(phi1)) * t_2); t_4 = t_3 + ((t_1 + (phi1 * ((-0.125 * (phi1 * t_1)) + (0.5 * cos((phi2 * -0.5)))))) ^ 2.0); tmp = 0.0; if ((phi1 <= -0.00043) || ~((phi1 <= 0.0028))) tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)))), sqrt((1.0 - (t_0 + t_3))))); else tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi2 * -0.5), $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[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[Power[N[(t$95$1 + N[(phi1 * N[(N[(-0.125 * N[(phi1 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi1, -0.00043], N[Not[LessEqual[phi1, 0.0028]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $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) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sin \left(\phi_2 \cdot -0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_2\right)\\
t_4 := t\_3 + {\left(t\_1 + \phi_1 \cdot \left(-0.125 \cdot \left(\phi_1 \cdot t\_1\right) + 0.5 \cdot \cos \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.00043 \lor \neg \left(\phi_1 \leq 0.0028\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_0 + t\_3\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\end{array}
\end{array}
if phi1 < -4.29999999999999989e-4 or 0.00279999999999999997 < phi1 Initial program 48.3%
div-sub48.3%
sin-diff50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
Applied egg-rr50.2%
div-sub48.3%
sin-diff50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
div-inv50.2%
metadata-eval50.2%
Applied egg-rr79.5%
Taylor expanded in phi2 around 0 60.4%
*-commutative60.4%
Simplified60.4%
if -4.29999999999999989e-4 < phi1 < 0.00279999999999999997Initial program 76.9%
Taylor expanded in phi1 around 0 77.0%
Taylor expanded in phi1 around 0 77.9%
Final simplification68.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (+ t_1 (* t_2 (* (* (cos phi2) (cos phi1)) t_2)))))
(if (or (<= phi2 -0.0074) (not (<= phi2 140000.0)))
(* R (* 2.0 (atan2 (sqrt (+ t_1 (* (cos phi2) t_0))) (sqrt (- 1.0 t_3)))))
(*
R
(* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 (+ t_1 (* (cos phi1) t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_1 + (t_2 * ((cos(phi2) * cos(phi1)) * t_2));
double tmp;
if ((phi2 <= -0.0074) || !(phi2 <= 140000.0)) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi2) * t_0))), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - (t_1 + (cos(phi1) * t_0))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_1 = ((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = t_1 + (t_2 * ((cos(phi2) * cos(phi1)) * t_2))
if ((phi2 <= (-0.0074d0)) .or. (.not. (phi2 <= 140000.0d0))) then
tmp = r * (2.0d0 * atan2(sqrt((t_1 + (cos(phi2) * t_0))), sqrt((1.0d0 - t_3))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_3), sqrt((1.0d0 - (t_1 + (cos(phi1) * t_0))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0);
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_1 + (t_2 * ((Math.cos(phi2) * Math.cos(phi1)) * t_2));
double tmp;
if ((phi2 <= -0.0074) || !(phi2 <= 140000.0)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_1 + (Math.cos(phi2) * t_0))), Math.sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_3), Math.sqrt((1.0 - (t_1 + (Math.cos(phi1) * t_0))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = t_1 + (t_2 * ((math.cos(phi2) * math.cos(phi1)) * t_2)) tmp = 0 if (phi2 <= -0.0074) or not (phi2 <= 140000.0): tmp = R * (2.0 * math.atan2(math.sqrt((t_1 + (math.cos(phi2) * t_0))), math.sqrt((1.0 - t_3)))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_3), math.sqrt((1.0 - (t_1 + (math.cos(phi1) * t_0)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_1 + Float64(t_2 * Float64(Float64(cos(phi2) * cos(phi1)) * t_2))) tmp = 0.0 if ((phi2 <= -0.0074) || !(phi2 <= 140000.0)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(cos(phi2) * t_0))), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - Float64(t_1 + Float64(cos(phi1) * t_0))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_1 = ((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0; t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = t_1 + (t_2 * ((cos(phi2) * cos(phi1)) * t_2)); tmp = 0.0; if ((phi2 <= -0.0074) || ~((phi2 <= 140000.0))) tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi2) * t_0))), sqrt((1.0 - t_3)))); else tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - (t_1 + (cos(phi1) * t_0)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 + N[(t$95$2 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -0.0074], N[Not[LessEqual[phi2, 140000.0]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_1 + t\_2 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_2\right)\\
\mathbf{if}\;\phi_2 \leq -0.0074 \lor \neg \left(\phi_2 \leq 140000\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_2 \cdot t\_0}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - \left(t\_1 + \cos \phi_1 \cdot t\_0\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -0.0074000000000000003 or 1.4e5 < phi2 Initial program 42.1%
div-sub42.1%
sin-diff44.2%
div-inv44.2%
metadata-eval44.2%
div-inv44.2%
metadata-eval44.2%
div-inv44.2%
metadata-eval44.2%
div-inv44.2%
metadata-eval44.2%
Applied egg-rr44.2%
div-sub42.1%
sin-diff44.2%
div-inv44.2%
metadata-eval44.2%
div-inv44.2%
metadata-eval44.2%
div-inv44.2%
metadata-eval44.2%
div-inv44.2%
metadata-eval44.2%
Applied egg-rr75.4%
Taylor expanded in phi1 around 0 55.5%
if -0.0074000000000000003 < phi2 < 1.4e5Initial program 80.9%
div-sub80.9%
sin-diff81.0%
div-inv81.0%
metadata-eval81.0%
div-inv81.0%
metadata-eval81.0%
div-inv81.0%
metadata-eval81.0%
div-inv81.0%
metadata-eval81.0%
Applied egg-rr81.0%
div-sub80.9%
sin-diff81.0%
div-inv81.0%
metadata-eval81.0%
div-inv81.0%
metadata-eval81.0%
div-inv81.0%
metadata-eval81.0%
div-inv81.0%
metadata-eval81.0%
Applied egg-rr82.0%
Taylor expanded in phi2 around 0 81.2%
*-commutative81.0%
Simplified81.2%
Final simplification68.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sin (* phi1 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (* phi1 0.5)))
(t_4
(pow (- (* (cos (* phi2 0.5)) t_1) (* (sin (* phi2 0.5)) t_3)) 2.0))
(t_5 (+ t_4 (* t_2 (* (* (cos phi2) (cos phi1)) t_2)))))
(if (or (<= phi2 -0.00062) (not (<= phi2 3e-20)))
(* R (* 2.0 (atan2 (sqrt (+ t_4 (* (cos phi2) t_0))) (sqrt (- 1.0 t_5)))))
(*
R
(*
2.0
(atan2
(sqrt t_5)
(sqrt
(-
(+ 1.0 (* phi2 (* t_1 t_3)))
(+ (* (cos phi1) t_0) (pow t_1 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sin((phi1 * 0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((phi1 * 0.5));
double t_4 = pow(((cos((phi2 * 0.5)) * t_1) - (sin((phi2 * 0.5)) * t_3)), 2.0);
double t_5 = t_4 + (t_2 * ((cos(phi2) * cos(phi1)) * t_2));
double tmp;
if ((phi2 <= -0.00062) || !(phi2 <= 3e-20)) {
tmp = R * (2.0 * atan2(sqrt((t_4 + (cos(phi2) * t_0))), sqrt((1.0 - t_5))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt(((1.0 + (phi2 * (t_1 * t_3))) - ((cos(phi1) * t_0) + pow(t_1, 2.0))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_1 = sin((phi1 * 0.5d0))
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = cos((phi1 * 0.5d0))
t_4 = ((cos((phi2 * 0.5d0)) * t_1) - (sin((phi2 * 0.5d0)) * t_3)) ** 2.0d0
t_5 = t_4 + (t_2 * ((cos(phi2) * cos(phi1)) * t_2))
if ((phi2 <= (-0.00062d0)) .or. (.not. (phi2 <= 3d-20))) then
tmp = r * (2.0d0 * atan2(sqrt((t_4 + (cos(phi2) * t_0))), sqrt((1.0d0 - t_5))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_5), sqrt(((1.0d0 + (phi2 * (t_1 * t_3))) - ((cos(phi1) * t_0) + (t_1 ** 2.0d0))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = Math.sin((phi1 * 0.5));
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = Math.cos((phi1 * 0.5));
double t_4 = Math.pow(((Math.cos((phi2 * 0.5)) * t_1) - (Math.sin((phi2 * 0.5)) * t_3)), 2.0);
double t_5 = t_4 + (t_2 * ((Math.cos(phi2) * Math.cos(phi1)) * t_2));
double tmp;
if ((phi2 <= -0.00062) || !(phi2 <= 3e-20)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_4 + (Math.cos(phi2) * t_0))), Math.sqrt((1.0 - t_5))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_5), Math.sqrt(((1.0 + (phi2 * (t_1 * t_3))) - ((Math.cos(phi1) * t_0) + Math.pow(t_1, 2.0))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = math.sin((phi1 * 0.5)) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = math.cos((phi1 * 0.5)) t_4 = math.pow(((math.cos((phi2 * 0.5)) * t_1) - (math.sin((phi2 * 0.5)) * t_3)), 2.0) t_5 = t_4 + (t_2 * ((math.cos(phi2) * math.cos(phi1)) * t_2)) tmp = 0 if (phi2 <= -0.00062) or not (phi2 <= 3e-20): tmp = R * (2.0 * math.atan2(math.sqrt((t_4 + (math.cos(phi2) * t_0))), math.sqrt((1.0 - t_5)))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_5), math.sqrt(((1.0 + (phi2 * (t_1 * t_3))) - ((math.cos(phi1) * t_0) + math.pow(t_1, 2.0)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(phi1 * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = Float64(Float64(cos(Float64(phi2 * 0.5)) * t_1) - Float64(sin(Float64(phi2 * 0.5)) * t_3)) ^ 2.0 t_5 = Float64(t_4 + Float64(t_2 * Float64(Float64(cos(phi2) * cos(phi1)) * t_2))) tmp = 0.0 if ((phi2 <= -0.00062) || !(phi2 <= 3e-20)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + Float64(cos(phi2) * t_0))), sqrt(Float64(1.0 - t_5))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(Float64(1.0 + Float64(phi2 * Float64(t_1 * t_3))) - Float64(Float64(cos(phi1) * t_0) + (t_1 ^ 2.0))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_1 = sin((phi1 * 0.5)); t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = cos((phi1 * 0.5)); t_4 = ((cos((phi2 * 0.5)) * t_1) - (sin((phi2 * 0.5)) * t_3)) ^ 2.0; t_5 = t_4 + (t_2 * ((cos(phi2) * cos(phi1)) * t_2)); tmp = 0.0; if ((phi2 <= -0.00062) || ~((phi2 <= 3e-20))) tmp = R * (2.0 * atan2(sqrt((t_4 + (cos(phi2) * t_0))), sqrt((1.0 - t_5)))); else tmp = R * (2.0 * atan2(sqrt(t_5), sqrt(((1.0 + (phi2 * (t_1 * t_3))) - ((cos(phi1) * t_0) + (t_1 ^ 2.0)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 + N[(t$95$2 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -0.00062], N[Not[LessEqual[phi2, 3e-20]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + N[(phi2 * N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot t\_1 - \sin \left(\phi_2 \cdot 0.5\right) \cdot t\_3\right)}^{2}\\
t_5 := t\_4 + t\_2 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_2\right)\\
\mathbf{if}\;\phi_2 \leq -0.00062 \lor \neg \left(\phi_2 \leq 3 \cdot 10^{-20}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + \cos \phi_2 \cdot t\_0}}{\sqrt{1 - t\_5}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{\left(1 + \phi_2 \cdot \left(t\_1 \cdot t\_3\right)\right) - \left(\cos \phi_1 \cdot t\_0 + {t\_1}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -6.2e-4 or 3.00000000000000029e-20 < phi2 Initial program 43.8%
div-sub43.8%
sin-diff45.8%
div-inv45.8%
metadata-eval45.8%
div-inv45.8%
metadata-eval45.8%
div-inv45.8%
metadata-eval45.8%
div-inv45.8%
metadata-eval45.8%
Applied egg-rr45.8%
div-sub43.8%
sin-diff45.8%
div-inv45.8%
metadata-eval45.8%
div-inv45.8%
metadata-eval45.8%
div-inv45.8%
metadata-eval45.8%
div-inv45.8%
metadata-eval45.8%
Applied egg-rr76.3%
Taylor expanded in phi1 around 0 56.6%
if -6.2e-4 < phi2 < 3.00000000000000029e-20Initial program 80.8%
div-sub80.8%
sin-diff80.8%
div-inv80.8%
metadata-eval80.8%
div-inv80.8%
metadata-eval80.8%
div-inv80.8%
metadata-eval80.8%
div-inv80.8%
metadata-eval80.8%
Applied egg-rr80.8%
Taylor expanded in phi2 around 0 81.1%
Final simplification68.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0)
(* t_0 (* (* (cos phi2) (cos phi1)) t_0))))
(sqrt
(fabs
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos (- lambda1 lambda2)) 0.5))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0))))))))))
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((pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0) + (t_0 * ((cos(phi2) * cos(phi1)) * t_0)))), sqrt(fabs((1.0 - fma(cos(phi1), (cos(phi2) * fma(-0.5, cos((lambda1 - lambda2)), 0.5)), pow(sin((-0.5 * (phi2 - phi1))), 2.0)))))));
}
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(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(t_0 * Float64(Float64(cos(phi2) * cos(phi1)) * t_0)))), sqrt(abs(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0)))))))) 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[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[Abs[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $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{{\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2} + t\_0 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right)}}{\sqrt{\left|1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)\right|}}\right)
\end{array}
\end{array}
Initial program 62.1%
div-sub62.1%
sin-diff63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr63.2%
Applied egg-rr63.6%
unpow263.6%
rem-sqrt-square63.6%
+-commutative63.6%
fma-define63.6%
Simplified63.6%
Final simplification63.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (cos (* phi2 0.5)) (sin (* phi1 0.5)))
(* (sin (* phi2 0.5)) (cos (* phi1 0.5))))
2.0)
(* t_1 (* t_0 t_1))))
(sqrt
(-
(- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(* t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))), 2.0) + (t_1 * (t_0 * t_1)))), sqrt(((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)) - (t_0 * (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
real(8) :: t_1
t_0 = cos(phi2) * cos(phi1)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((((cos((phi2 * 0.5d0)) * sin((phi1 * 0.5d0))) - (sin((phi2 * 0.5d0)) * cos((phi1 * 0.5d0)))) ** 2.0d0) + (t_1 * (t_0 * t_1)))), sqrt(((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)) - (t_0 * (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.cos(phi2) * Math.cos(phi1);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((phi1 * 0.5))) - (Math.sin((phi2 * 0.5)) * Math.cos((phi1 * 0.5)))), 2.0) + (t_1 * (t_0 * t_1)))), Math.sqrt(((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)) - (t_0 * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.cos(phi1) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(((math.cos((phi2 * 0.5)) * math.sin((phi1 * 0.5))) - (math.sin((phi2 * 0.5)) * math.cos((phi1 * 0.5)))), 2.0) + (t_1 * (t_0 * t_1)))), math.sqrt(((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)) - (t_0 * (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))), sqrt(Float64(Float64(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) - Float64(t_0 * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * cos(phi1); t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((((cos((phi2 * 0.5)) * sin((phi1 * 0.5))) - (sin((phi2 * 0.5)) * cos((phi1 * 0.5)))) ^ 2.0) + (t_1 * (t_0 * t_1)))), sqrt(((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0)) - (t_0 * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $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[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - N[(t$95$0 * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}}{\sqrt{\left(1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right) - t\_0 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.1%
div-sub62.1%
sin-diff63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr63.2%
associate--r+63.2%
associate-*r*63.2%
*-commutative63.2%
cancel-sign-sub-inv63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr63.2%
Final simplification63.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* phi2 -0.5)) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_3 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_4 (sqrt (- (pow (cos (* phi2 -0.5)) 2.0) (* (cos phi2) t_3)))))
(if (<= phi2 -0.002)
(* R (* 2.0 (atan2 (sqrt (+ (* (cos phi2) t_2) t_0)) t_4)))
(if (<= phi2 1.58e-9)
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* (* (cos phi2) (cos phi1)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- (pow (cos (* phi1 0.5)) 2.0) (* t_3 (cos phi1)))))))
(* R (* 2.0 (atan2 (sqrt (fma (cos phi2) t_2 t_0)) t_4)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((phi2 * -0.5)), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_3 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_4 = sqrt((pow(cos((phi2 * -0.5)), 2.0) - (cos(phi2) * t_3)));
double tmp;
if (phi2 <= -0.002) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi2) * t_2) + t_0)), t_4));
} else if (phi2 <= 1.58e-9) {
tmp = R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi2) * cos(phi1)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((pow(cos((phi1 * 0.5)), 2.0) - (t_3 * cos(phi1))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), t_2, t_0)), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 * -0.5)) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_3 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_4 = sqrt(Float64((cos(Float64(phi2 * -0.5)) ^ 2.0) - Float64(cos(phi2) * t_3))) tmp = 0.0 if (phi2 <= -0.002) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi2) * t_2) + t_0)), t_4))); elseif (phi2 <= 1.58e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(Float64(cos(phi2) * cos(phi1)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64((cos(Float64(phi1 * 0.5)) ^ 2.0) - Float64(t_3 * cos(phi1))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), t_2, t_0)), t_4))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -0.002], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 1.58e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * 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[Power[N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$3 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_3 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_4 := \sqrt{{\cos \left(\phi_2 \cdot -0.5\right)}^{2} - \cos \phi_2 \cdot t\_3}\\
\mathbf{if}\;\phi_2 \leq -0.002:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_2 \cdot t\_2 + t\_0}}{t\_4}\right)\\
\mathbf{elif}\;\phi_2 \leq 1.58 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{{\cos \left(\phi_1 \cdot 0.5\right)}^{2} - t\_3 \cdot \cos \phi_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_2, t\_0\right)}}{t\_4}\right)\\
\end{array}
\end{array}
if phi2 < -2e-3Initial program 42.3%
Taylor expanded in phi1 around 0 42.5%
+-commutative42.5%
associate--r+42.5%
unpow242.5%
1-sub-sin42.6%
unpow242.6%
sub-neg42.6%
mul-1-neg42.6%
distribute-lft-in42.6%
metadata-eval42.6%
associate-*r*42.6%
associate-*r*42.6%
metadata-eval42.6%
distribute-lft-in42.6%
+-commutative42.6%
Simplified42.6%
Taylor expanded in phi1 around 0 44.5%
if -2e-3 < phi2 < 1.5799999999999999e-9Initial program 80.9%
Taylor expanded in phi2 around 0 81.0%
+-commutative81.0%
associate--r+81.0%
unpow281.0%
1-sub-sin81.1%
unpow281.1%
*-commutative81.1%
Simplified81.1%
if 1.5799999999999999e-9 < phi2 Initial program 44.3%
Taylor expanded in phi1 around 0 45.4%
+-commutative45.4%
associate--r+45.4%
unpow245.4%
1-sub-sin45.4%
unpow245.4%
sub-neg45.4%
mul-1-neg45.4%
distribute-lft-in45.4%
metadata-eval45.4%
associate-*r*45.4%
associate-*r*45.4%
metadata-eval45.4%
distribute-lft-in45.4%
+-commutative45.4%
Simplified45.4%
Taylor expanded in phi1 around 0 45.7%
fma-define45.7%
*-commutative45.7%
Simplified45.7%
Final simplification63.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (* phi1 0.5)) 2.0))
(t_3 (sqrt (- (pow (cos (* phi1 0.5)) 2.0) (* t_0 (* t_1 t_1))))))
(if (<= phi1 -9.6e-7)
(*
R
(*
2.0
(atan2
(sqrt
(+ (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)) t_2))
t_3)))
(if (<= phi1 0.002)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
(pow (cos (* phi2 -0.5)) 2.0)
(* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (cos phi1) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))
t_3)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin((phi1 * 0.5)), 2.0);
double t_3 = sqrt((pow(cos((phi1 * 0.5)), 2.0) - (t_0 * (t_1 * t_1))));
double tmp;
if (phi1 <= -9.6e-7) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_2)), t_3));
} else if (phi1 <= 0.002) {
tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((pow(cos((phi2 * -0.5)), 2.0) - (cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), 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 = cos(phi2) * cos(phi1)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = sin((phi1 * 0.5d0)) ** 2.0d0
t_3 = sqrt(((cos((phi1 * 0.5d0)) ** 2.0d0) - (t_0 * (t_1 * t_1))))
if (phi1 <= (-9.6d-7)) then
tmp = r * (2.0d0 * atan2(sqrt(((cos(phi1) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + t_2)), t_3))
else if (phi1 <= 0.002d0) then
tmp = r * (2.0d0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt(((cos((phi2 * (-0.5d0))) ** 2.0d0) - (cos(phi2) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))))))
else
tmp = r * (2.0d0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))), t_3))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi2) * Math.cos(phi1);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.pow(Math.sin((phi1 * 0.5)), 2.0);
double t_3 = Math.sqrt((Math.pow(Math.cos((phi1 * 0.5)), 2.0) - (t_0 * (t_1 * t_1))));
double tmp;
if (phi1 <= -9.6e-7) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_2)), t_3));
} else if (phi1 <= 0.002) {
tmp = 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((Math.pow(Math.cos((phi2 * -0.5)), 2.0) - (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_2 + (Math.cos(phi1) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))), t_3));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.cos(phi1) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.pow(math.sin((phi1 * 0.5)), 2.0) t_3 = math.sqrt((math.pow(math.cos((phi1 * 0.5)), 2.0) - (t_0 * (t_1 * t_1)))) tmp = 0 if phi1 <= -9.6e-7: tmp = R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_2)), t_3)) elif phi1 <= 0.002: tmp = 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((math.pow(math.cos((phi2 * -0.5)), 2.0) - (math.cos(phi2) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_2 + (math.cos(phi1) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))), t_3)) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) ^ 2.0 t_3 = sqrt(Float64((cos(Float64(phi1 * 0.5)) ^ 2.0) - Float64(t_0 * Float64(t_1 * t_1)))) tmp = 0.0 if (phi1 <= -9.6e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + t_2)), t_3))); elseif (phi1 <= 0.002) tmp = 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((cos(Float64(phi2 * -0.5)) ^ 2.0) - Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))), t_3))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * cos(phi1); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sin((phi1 * 0.5)) ^ 2.0; t_3 = sqrt(((cos((phi1 * 0.5)) ^ 2.0) - (t_0 * (t_1 * t_1)))); tmp = 0.0; if (phi1 <= -9.6e-7) tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + t_2)), t_3)); elseif (phi1 <= 0.002) tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((cos((phi2 * -0.5)) ^ 2.0) - (cos(phi2) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))))); else tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), t_3)); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[Power[N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -9.6e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.002], 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[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\phi_1 \cdot 0.5\right)}^{2}\\
t_3 := \sqrt{{\cos \left(\phi_1 \cdot 0.5\right)}^{2} - t\_0 \cdot \left(t\_1 \cdot t\_1\right)}\\
\mathbf{if}\;\phi_1 \leq -9.6 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + t\_2}}{t\_3}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.002:\\
\;\;\;\;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{{\cos \left(\phi_2 \cdot -0.5\right)}^{2} - \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}{t\_3}\right)\\
\end{array}
\end{array}
if phi1 < -9.59999999999999914e-7Initial program 44.8%
associate-*l*44.8%
Simplified44.8%
Taylor expanded in phi2 around 0 44.8%
unpow244.8%
1-sub-sin45.0%
unpow245.0%
Simplified45.0%
Taylor expanded in phi2 around 0 46.6%
if -9.59999999999999914e-7 < phi1 < 2e-3Initial program 76.7%
Taylor expanded in phi1 around 0 76.7%
+-commutative76.7%
associate--r+76.7%
unpow276.7%
1-sub-sin76.8%
unpow276.8%
sub-neg76.8%
mul-1-neg76.8%
distribute-lft-in76.8%
metadata-eval76.8%
associate-*r*76.8%
associate-*r*76.8%
metadata-eval76.8%
distribute-lft-in76.8%
+-commutative76.8%
Simplified76.8%
if 2e-3 < phi1 Initial program 51.4%
associate-*l*51.4%
Simplified51.4%
Taylor expanded in phi2 around 0 50.8%
unpow250.8%
1-sub-sin50.9%
unpow250.9%
Simplified50.9%
pow1/250.9%
Applied egg-rr51.0%
unpow1/251.0%
*-commutative51.0%
Simplified51.0%
Taylor expanded in phi2 around 0 52.1%
Final simplification62.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (* phi1 0.5)) 2.0))
(t_3 (sqrt (- (pow (cos (* phi1 0.5)) 2.0) (* t_0 (* t_1 t_1))))))
(if (<= phi1 -2.4e-35)
(*
R
(*
2.0
(atan2
(sqrt
(+ (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)) t_2))
t_3)))
(if (<= phi1 4.8e-13)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_0 t_1)) (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt
(-
(pow (cos (* phi2 -0.5)) 2.0)
(* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (cos phi1) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))
t_3)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin((phi1 * 0.5)), 2.0);
double t_3 = sqrt((pow(cos((phi1 * 0.5)), 2.0) - (t_0 * (t_1 * t_1))));
double tmp;
if (phi1 <= -2.4e-35) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_2)), t_3));
} else if (phi1 <= 4.8e-13) {
tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(sin((phi2 * -0.5)), 2.0))), sqrt((pow(cos((phi2 * -0.5)), 2.0) - (cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), 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 = cos(phi2) * cos(phi1)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = sin((phi1 * 0.5d0)) ** 2.0d0
t_3 = sqrt(((cos((phi1 * 0.5d0)) ** 2.0d0) - (t_0 * (t_1 * t_1))))
if (phi1 <= (-2.4d-35)) then
tmp = r * (2.0d0 * atan2(sqrt(((cos(phi1) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + t_2)), t_3))
else if (phi1 <= 4.8d-13) then
tmp = r * (2.0d0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + (sin((phi2 * (-0.5d0))) ** 2.0d0))), sqrt(((cos((phi2 * (-0.5d0))) ** 2.0d0) - (cos(phi2) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))))))
else
tmp = r * (2.0d0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))), t_3))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi2) * Math.cos(phi1);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.pow(Math.sin((phi1 * 0.5)), 2.0);
double t_3 = Math.sqrt((Math.pow(Math.cos((phi1 * 0.5)), 2.0) - (t_0 * (t_1 * t_1))));
double tmp;
if (phi1 <= -2.4e-35) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_2)), t_3));
} else if (phi1 <= 4.8e-13) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_1 * (t_0 * t_1)) + Math.pow(Math.sin((phi2 * -0.5)), 2.0))), Math.sqrt((Math.pow(Math.cos((phi2 * -0.5)), 2.0) - (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_2 + (Math.cos(phi1) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))), t_3));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.cos(phi1) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.pow(math.sin((phi1 * 0.5)), 2.0) t_3 = math.sqrt((math.pow(math.cos((phi1 * 0.5)), 2.0) - (t_0 * (t_1 * t_1)))) tmp = 0 if phi1 <= -2.4e-35: tmp = R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_2)), t_3)) elif phi1 <= 4.8e-13: tmp = R * (2.0 * math.atan2(math.sqrt(((t_1 * (t_0 * t_1)) + math.pow(math.sin((phi2 * -0.5)), 2.0))), math.sqrt((math.pow(math.cos((phi2 * -0.5)), 2.0) - (math.cos(phi2) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_2 + (math.cos(phi1) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))), t_3)) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) ^ 2.0 t_3 = sqrt(Float64((cos(Float64(phi1 * 0.5)) ^ 2.0) - Float64(t_0 * Float64(t_1 * t_1)))) tmp = 0.0 if (phi1 <= -2.4e-35) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + t_2)), t_3))); elseif (phi1 <= 4.8e-13) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64((cos(Float64(phi2 * -0.5)) ^ 2.0) - Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))), t_3))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * cos(phi1); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sin((phi1 * 0.5)) ^ 2.0; t_3 = sqrt(((cos((phi1 * 0.5)) ^ 2.0) - (t_0 * (t_1 * t_1)))); tmp = 0.0; if (phi1 <= -2.4e-35) tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + t_2)), t_3)); elseif (phi1 <= 4.8e-13) tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + (sin((phi2 * -0.5)) ^ 2.0))), sqrt(((cos((phi2 * -0.5)) ^ 2.0) - (cos(phi2) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))))); else tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), t_3)); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[Power[N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.4e-35], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 4.8e-13], 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[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\phi_1 \cdot 0.5\right)}^{2}\\
t_3 := \sqrt{{\cos \left(\phi_1 \cdot 0.5\right)}^{2} - t\_0 \cdot \left(t\_1 \cdot t\_1\right)}\\
\mathbf{if}\;\phi_1 \leq -2.4 \cdot 10^{-35}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + t\_2}}{t\_3}\right)\\
\mathbf{elif}\;\phi_1 \leq 4.8 \cdot 10^{-13}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}}}{\sqrt{{\cos \left(\phi_2 \cdot -0.5\right)}^{2} - \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}{t\_3}\right)\\
\end{array}
\end{array}
if phi1 < -2.4000000000000001e-35Initial program 46.8%
associate-*l*46.9%
Simplified46.9%
Taylor expanded in phi2 around 0 46.3%
unpow246.3%
1-sub-sin46.4%
unpow246.4%
Simplified46.4%
Taylor expanded in phi2 around 0 47.9%
if -2.4000000000000001e-35 < phi1 < 4.7999999999999997e-13Initial program 76.9%
Taylor expanded in phi1 around 0 76.9%
+-commutative76.9%
associate--r+76.8%
unpow276.8%
1-sub-sin76.9%
unpow276.9%
sub-neg76.9%
mul-1-neg76.9%
distribute-lft-in76.9%
metadata-eval76.9%
associate-*r*76.9%
associate-*r*76.9%
metadata-eval76.9%
distribute-lft-in76.9%
+-commutative76.9%
Simplified76.9%
Taylor expanded in phi1 around 0 76.1%
if 4.7999999999999997e-13 < phi1 Initial program 51.8%
associate-*l*51.8%
Simplified51.8%
Taylor expanded in phi2 around 0 50.7%
unpow250.7%
1-sub-sin50.8%
unpow250.8%
Simplified50.8%
pow1/250.8%
Applied egg-rr50.8%
unpow1/250.8%
*-commutative50.8%
Simplified50.8%
Taylor expanded in phi2 around 0 51.9%
Final simplification62.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(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
(-
(- 1.0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(* t_0 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
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(((1.0 - pow(sin((0.5 * (phi1 - phi2))), 2.0)) - (t_0 * (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
real(8) :: t_1
t_0 = cos(phi2) * cos(phi1)
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(((1.0d0 - (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)) - (t_0 * (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.cos(phi2) * Math.cos(phi1);
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(((1.0 - Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)) - (t_0 * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.cos(phi1) 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(((1.0 - math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)) - (t_0 * (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) 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(1.0 - (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) - Float64(t_0 * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * cos(phi1); 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(((1.0 - (sin((0.5 * (phi1 - phi2))) ^ 2.0)) - (t_0 * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $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[(1.0 - N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - N[(t$95$0 * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
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(1 - {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right) - t\_0 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.1%
associate--r+63.2%
associate-*r*63.2%
*-commutative63.2%
cancel-sign-sub-inv63.2%
div-inv63.2%
metadata-eval63.2%
Applied egg-rr62.2%
Final simplification62.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (* phi1 0.5)) 2.0))
(t_3
(sqrt
(-
(pow (cos (* phi1 0.5)) 2.0)
(* (* (cos phi2) (cos phi1)) (* t_1 t_1))))))
(if (<= phi1 -2.4e-35)
(* R (* 2.0 (atan2 (sqrt (+ (* (cos phi1) t_0) t_2)) t_3)))
(if (<= phi1 4.8e-13)
(*
R
(*
2.0
(atan2
(sqrt (+ (* (cos phi2) t_0) (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt
(-
(pow (cos (* phi2 -0.5)) 2.0)
(* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+ t_2 (* (cos phi1) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))
t_3)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin((phi1 * 0.5)), 2.0);
double t_3 = sqrt((pow(cos((phi1 * 0.5)), 2.0) - ((cos(phi2) * cos(phi1)) * (t_1 * t_1))));
double tmp;
if (phi1 <= -2.4e-35) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * t_0) + t_2)), t_3));
} else if (phi1 <= 4.8e-13) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi2) * t_0) + pow(sin((phi2 * -0.5)), 2.0))), sqrt((pow(cos((phi2 * -0.5)), 2.0) - (cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), 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((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = sin((phi1 * 0.5d0)) ** 2.0d0
t_3 = sqrt(((cos((phi1 * 0.5d0)) ** 2.0d0) - ((cos(phi2) * cos(phi1)) * (t_1 * t_1))))
if (phi1 <= (-2.4d-35)) then
tmp = r * (2.0d0 * atan2(sqrt(((cos(phi1) * t_0) + t_2)), t_3))
else if (phi1 <= 4.8d-13) then
tmp = r * (2.0d0 * atan2(sqrt(((cos(phi2) * t_0) + (sin((phi2 * (-0.5d0))) ** 2.0d0))), sqrt(((cos((phi2 * (-0.5d0))) ** 2.0d0) - (cos(phi2) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))))))
else
tmp = r * (2.0d0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))), t_3))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.pow(Math.sin((phi1 * 0.5)), 2.0);
double t_3 = Math.sqrt((Math.pow(Math.cos((phi1 * 0.5)), 2.0) - ((Math.cos(phi2) * Math.cos(phi1)) * (t_1 * t_1))));
double tmp;
if (phi1 <= -2.4e-35) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * t_0) + t_2)), t_3));
} else if (phi1 <= 4.8e-13) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi2) * t_0) + Math.pow(Math.sin((phi2 * -0.5)), 2.0))), Math.sqrt((Math.pow(Math.cos((phi2 * -0.5)), 2.0) - (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_2 + (Math.cos(phi1) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))), t_3));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.pow(math.sin((phi1 * 0.5)), 2.0) t_3 = math.sqrt((math.pow(math.cos((phi1 * 0.5)), 2.0) - ((math.cos(phi2) * math.cos(phi1)) * (t_1 * t_1)))) tmp = 0 if phi1 <= -2.4e-35: tmp = R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * t_0) + t_2)), t_3)) elif phi1 <= 4.8e-13: tmp = R * (2.0 * math.atan2(math.sqrt(((math.cos(phi2) * t_0) + math.pow(math.sin((phi2 * -0.5)), 2.0))), math.sqrt((math.pow(math.cos((phi2 * -0.5)), 2.0) - (math.cos(phi2) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_2 + (math.cos(phi1) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))), t_3)) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) ^ 2.0 t_3 = sqrt(Float64((cos(Float64(phi1 * 0.5)) ^ 2.0) - Float64(Float64(cos(phi2) * cos(phi1)) * Float64(t_1 * t_1)))) tmp = 0.0 if (phi1 <= -2.4e-35) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * t_0) + t_2)), t_3))); elseif (phi1 <= 4.8e-13) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi2) * t_0) + (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64((cos(Float64(phi2 * -0.5)) ^ 2.0) - Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))), t_3))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sin((phi1 * 0.5)) ^ 2.0; t_3 = sqrt(((cos((phi1 * 0.5)) ^ 2.0) - ((cos(phi2) * cos(phi1)) * (t_1 * t_1)))); tmp = 0.0; if (phi1 <= -2.4e-35) tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * t_0) + t_2)), t_3)); elseif (phi1 <= 4.8e-13) tmp = R * (2.0 * atan2(sqrt(((cos(phi2) * t_0) + (sin((phi2 * -0.5)) ^ 2.0))), sqrt(((cos((phi2 * -0.5)) ^ 2.0) - (cos(phi2) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))))); else tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), t_3)); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[Power[N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.4e-35], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 4.8e-13], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\phi_1 \cdot 0.5\right)}^{2}\\
t_3 := \sqrt{{\cos \left(\phi_1 \cdot 0.5\right)}^{2} - \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(t\_1 \cdot t\_1\right)}\\
\mathbf{if}\;\phi_1 \leq -2.4 \cdot 10^{-35}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot t\_0 + t\_2}}{t\_3}\right)\\
\mathbf{elif}\;\phi_1 \leq 4.8 \cdot 10^{-13}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_2 \cdot t\_0 + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}}}{\sqrt{{\cos \left(\phi_2 \cdot -0.5\right)}^{2} - \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}{t\_3}\right)\\
\end{array}
\end{array}
if phi1 < -2.4000000000000001e-35Initial program 46.8%
associate-*l*46.9%
Simplified46.9%
Taylor expanded in phi2 around 0 46.3%
unpow246.3%
1-sub-sin46.4%
unpow246.4%
Simplified46.4%
Taylor expanded in phi2 around 0 47.9%
if -2.4000000000000001e-35 < phi1 < 4.7999999999999997e-13Initial program 76.9%
Taylor expanded in phi1 around 0 76.9%
+-commutative76.9%
associate--r+76.8%
unpow276.8%
1-sub-sin76.9%
unpow276.9%
sub-neg76.9%
mul-1-neg76.9%
distribute-lft-in76.9%
metadata-eval76.9%
associate-*r*76.9%
associate-*r*76.9%
metadata-eval76.9%
distribute-lft-in76.9%
+-commutative76.9%
Simplified76.9%
Taylor expanded in phi1 around 0 76.1%
if 4.7999999999999997e-13 < phi1 Initial program 51.8%
associate-*l*51.8%
Simplified51.8%
Taylor expanded in phi2 around 0 50.7%
unpow250.7%
1-sub-sin50.8%
unpow250.8%
Simplified50.8%
pow1/250.8%
Applied egg-rr50.8%
unpow1/250.8%
*-commutative50.8%
Simplified50.8%
Taylor expanded in phi2 around 0 51.9%
Final simplification62.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(if (or (<= phi1 -2.5e-25) (not (<= phi1 4.5e-13)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (* phi1 0.5)) 2.0)
(* (cos phi1) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))
(sqrt
(-
(pow (cos (* phi1 0.5)) 2.0)
(* (* (cos phi2) (cos phi1)) (* t_0 t_0)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow (sin (* phi2 -0.5)) 2.0)))
(sqrt
(-
(pow (cos (* phi2 -0.5)) 2.0)
(* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi1 <= -2.5e-25) || !(phi1 <= 4.5e-13)) {
tmp = R * (2.0 * atan2(sqrt((pow(sin((phi1 * 0.5)), 2.0) + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), sqrt((pow(cos((phi1 * 0.5)), 2.0) - ((cos(phi2) * cos(phi1)) * (t_0 * t_0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + pow(sin((phi2 * -0.5)), 2.0))), sqrt((pow(cos((phi2 * -0.5)), 2.0) - (cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: tmp
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
if ((phi1 <= (-2.5d-25)) .or. (.not. (phi1 <= 4.5d-13))) then
tmp = r * (2.0d0 * atan2(sqrt(((sin((phi1 * 0.5d0)) ** 2.0d0) + (cos(phi1) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))), sqrt(((cos((phi1 * 0.5d0)) ** 2.0d0) - ((cos(phi2) * cos(phi1)) * (t_0 * t_0))))))
else
tmp = r * (2.0d0 * atan2(sqrt(((cos(phi2) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + (sin((phi2 * (-0.5d0))) ** 2.0d0))), sqrt(((cos((phi2 * (-0.5d0))) ** 2.0d0) - (cos(phi2) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi1 <= -2.5e-25) || !(phi1 <= 4.5e-13)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin((phi1 * 0.5)), 2.0) + (Math.cos(phi1) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))), Math.sqrt((Math.pow(Math.cos((phi1 * 0.5)), 2.0) - ((Math.cos(phi2) * Math.cos(phi1)) * (t_0 * t_0))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi2) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + Math.pow(Math.sin((phi2 * -0.5)), 2.0))), Math.sqrt((Math.pow(Math.cos((phi2 * -0.5)), 2.0) - (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) tmp = 0 if (phi1 <= -2.5e-25) or not (phi1 <= 4.5e-13): tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin((phi1 * 0.5)), 2.0) + (math.cos(phi1) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))), math.sqrt((math.pow(math.cos((phi1 * 0.5)), 2.0) - ((math.cos(phi2) * math.cos(phi1)) * (t_0 * t_0)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt(((math.cos(phi2) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + math.pow(math.sin((phi2 * -0.5)), 2.0))), math.sqrt((math.pow(math.cos((phi2 * -0.5)), 2.0) - (math.cos(phi2) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if ((phi1 <= -2.5e-25) || !(phi1 <= 4.5e-13)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(phi1 * 0.5)) ^ 2.0) + Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))), sqrt(Float64((cos(Float64(phi1 * 0.5)) ^ 2.0) - Float64(Float64(cos(phi2) * cos(phi1)) * Float64(t_0 * t_0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64((cos(Float64(phi2 * -0.5)) ^ 2.0) - Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = 0.0; if ((phi1 <= -2.5e-25) || ~((phi1 <= 4.5e-13))) tmp = R * (2.0 * atan2(sqrt(((sin((phi1 * 0.5)) ^ 2.0) + (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))), sqrt(((cos((phi1 * 0.5)) ^ 2.0) - ((cos(phi2) * cos(phi1)) * (t_0 * t_0)))))); else tmp = R * (2.0 * atan2(sqrt(((cos(phi2) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + (sin((phi2 * -0.5)) ^ 2.0))), sqrt(((cos((phi2 * -0.5)) ^ 2.0) - (cos(phi2) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))))); 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]}, If[Or[LessEqual[phi1, -2.5e-25], N[Not[LessEqual[phi1, 4.5e-13]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_1 \leq -2.5 \cdot 10^{-25} \lor \neg \left(\phi_1 \leq 4.5 \cdot 10^{-13}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\phi_1 \cdot 0.5\right)}^{2} + \cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}{\sqrt{{\cos \left(\phi_1 \cdot 0.5\right)}^{2} - \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(t\_0 \cdot t\_0\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}}}{\sqrt{{\cos \left(\phi_2 \cdot -0.5\right)}^{2} - \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\end{array}
\end{array}
if phi1 < -2.49999999999999981e-25 or 4.5e-13 < phi1 Initial program 49.4%
associate-*l*49.4%
Simplified49.4%
Taylor expanded in phi2 around 0 48.5%
unpow248.5%
1-sub-sin48.6%
unpow248.6%
Simplified48.6%
pow1/248.6%
Applied egg-rr48.6%
unpow1/248.6%
*-commutative48.6%
Simplified48.6%
Taylor expanded in phi2 around 0 49.8%
if -2.49999999999999981e-25 < phi1 < 4.5e-13Initial program 77.1%
Taylor expanded in phi1 around 0 77.1%
+-commutative77.1%
associate--r+77.0%
unpow277.0%
1-sub-sin77.1%
unpow277.1%
sub-neg77.1%
mul-1-neg77.1%
distribute-lft-in77.1%
metadata-eval77.1%
associate-*r*77.1%
associate-*r*77.1%
metadata-eval77.1%
distribute-lft-in77.1%
+-commutative77.1%
Simplified77.1%
Taylor expanded in phi1 around 0 76.2%
Final simplification62.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(if (or (<= phi2 -10.2) (not (<= phi2 1.58e-9)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt
(-
(pow (cos (* phi2 -0.5)) 2.0)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (cos phi2) (cos phi1)) (* t_1 t_1))))
(sqrt (- 1.0 t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi2 <= -10.2) || !(phi2 <= 1.58e-9)) {
tmp = R * (2.0 * atan2(sqrt((t_0 + pow(sin((phi2 * -0.5)), 2.0))), sqrt((pow(cos((phi2 * -0.5)), 2.0) - (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((cos(phi2) * cos(phi1)) * (t_1 * t_1)))), sqrt((1.0 - t_0))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = cos(phi2) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
if ((phi2 <= (-10.2d0)) .or. (.not. (phi2 <= 1.58d-9))) then
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (sin((phi2 * (-0.5d0))) ** 2.0d0))), sqrt(((cos((phi2 * (-0.5d0))) ** 2.0d0) - (cos(phi2) * (sin(((-0.5d0) * lambda2)) ** 2.0d0))))))
else
tmp = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + ((cos(phi2) * cos(phi1)) * (t_1 * t_1)))), sqrt((1.0d0 - t_0))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi2) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi2 <= -10.2) || !(phi2 <= 1.58e-9)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + Math.pow(Math.sin((phi2 * -0.5)), 2.0))), Math.sqrt((Math.pow(Math.cos((phi2 * -0.5)), 2.0) - (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * lambda2)), 2.0))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((Math.cos(phi2) * Math.cos(phi1)) * (t_1 * t_1)))), Math.sqrt((1.0 - t_0))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) tmp = 0 if (phi2 <= -10.2) or not (phi2 <= 1.58e-9): tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + math.pow(math.sin((phi2 * -0.5)), 2.0))), math.sqrt((math.pow(math.cos((phi2 * -0.5)), 2.0) - (math.cos(phi2) * math.pow(math.sin((-0.5 * lambda2)), 2.0)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((math.cos(phi2) * math.cos(phi1)) * (t_1 * t_1)))), math.sqrt((1.0 - t_0)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if ((phi2 <= -10.2) || !(phi2 <= 1.58e-9)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64((cos(Float64(phi2 * -0.5)) ^ 2.0) - Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(t_1 * t_1)))), sqrt(Float64(1.0 - t_0))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0); t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = 0.0; if ((phi2 <= -10.2) || ~((phi2 <= 1.58e-9))) tmp = R * (2.0 * atan2(sqrt((t_0 + (sin((phi2 * -0.5)) ^ 2.0))), sqrt(((cos((phi2 * -0.5)) ^ 2.0) - (cos(phi2) * (sin((-0.5 * lambda2)) ^ 2.0)))))); else tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + ((cos(phi2) * cos(phi1)) * (t_1 * t_1)))), sqrt((1.0 - t_0)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi2, -10.2], N[Not[LessEqual[phi2, 1.58e-9]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_2 \leq -10.2 \lor \neg \left(\phi_2 \leq 1.58 \cdot 10^{-9}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}}}{\sqrt{{\cos \left(\phi_2 \cdot -0.5\right)}^{2} - \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(t\_1 \cdot t\_1\right)}}{\sqrt{1 - t\_0}}\right)\\
\end{array}
\end{array}
if phi2 < -10.199999999999999 or 1.5799999999999999e-9 < phi2 Initial program 42.9%
Taylor expanded in phi1 around 0 43.6%
+-commutative43.6%
associate--r+43.6%
unpow243.6%
1-sub-sin43.6%
unpow243.6%
sub-neg43.6%
mul-1-neg43.6%
distribute-lft-in43.6%
metadata-eval43.6%
associate-*r*43.6%
associate-*r*43.6%
metadata-eval43.6%
distribute-lft-in43.6%
+-commutative43.6%
Simplified43.6%
Taylor expanded in lambda1 around 0 37.6%
*-commutative37.6%
Simplified37.6%
Taylor expanded in phi1 around 0 38.8%
if -10.199999999999999 < phi2 < 1.5799999999999999e-9Initial program 81.1%
associate-*l*81.1%
Simplified81.1%
Taylor expanded in phi2 around 0 80.5%
unpow280.5%
1-sub-sin80.6%
unpow280.6%
Simplified80.6%
Taylor expanded in phi1 around 0 50.9%
Final simplification44.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(+
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow (sin (* phi2 -0.5)) 2.0)))
(sqrt
(-
(pow (cos (* phi2 -0.5)) 2.0)
(* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + pow(sin((phi2 * -0.5)), 2.0))), sqrt((pow(cos((phi2 * -0.5)), 2.0) - (cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = r * (2.0d0 * atan2(sqrt(((cos(phi2) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + (sin((phi2 * (-0.5d0))) ** 2.0d0))), sqrt(((cos((phi2 * (-0.5d0))) ** 2.0d0) - (cos(phi2) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi2) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + Math.pow(Math.sin((phi2 * -0.5)), 2.0))), Math.sqrt((Math.pow(Math.cos((phi2 * -0.5)), 2.0) - (Math.cos(phi2) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sqrt(((math.cos(phi2) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + math.pow(math.sin((phi2 * -0.5)), 2.0))), math.sqrt((math.pow(math.cos((phi2 * -0.5)), 2.0) - (math.cos(phi2) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64((cos(Float64(phi2 * -0.5)) ^ 2.0) - Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sqrt(((cos(phi2) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + (sin((phi2 * -0.5)) ^ 2.0))), sqrt(((cos((phi2 * -0.5)) ^ 2.0) - (cos(phi2) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}}}{\sqrt{{\cos \left(\phi_2 \cdot -0.5\right)}^{2} - \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)
\end{array}
Initial program 62.1%
Taylor expanded in phi1 around 0 47.6%
+-commutative47.6%
associate--r+47.6%
unpow247.6%
1-sub-sin47.6%
unpow247.6%
sub-neg47.6%
mul-1-neg47.6%
distribute-lft-in47.6%
metadata-eval47.6%
associate-*r*47.6%
associate-*r*47.6%
metadata-eval47.6%
distribute-lft-in47.6%
+-commutative47.6%
Simplified47.6%
Taylor expanded in phi1 around 0 45.9%
Final simplification45.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (cos phi2) (cos phi1)) (* t_0 t_0))))
(sqrt
(- 1.0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))))))
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((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((cos(phi2) * cos(phi1)) * (t_0 * t_0)))), sqrt((1.0 - (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + ((cos(phi2) * cos(phi1)) * (t_0 * t_0)))), sqrt((1.0d0 - (cos(phi2) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((Math.cos(phi2) * Math.cos(phi1)) * (t_0 * t_0)))), Math.sqrt((1.0 - (Math.cos(phi2) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((math.cos(phi2) * math.cos(phi1)) * (t_0 * t_0)))), math.sqrt((1.0 - (math.cos(phi2) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0))))))
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((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(t_0 * t_0)))), sqrt(Float64(1.0 - Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + ((cos(phi2) * cos(phi1)) * (t_0 * t_0)))), sqrt((1.0 - (cos(phi2) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $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{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(t\_0 \cdot t\_0\right)}}{\sqrt{1 - \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)
\end{array}
\end{array}
Initial program 62.1%
associate-*l*62.1%
Simplified62.1%
Taylor expanded in phi2 around 0 50.3%
unpow250.3%
1-sub-sin50.4%
unpow250.4%
Simplified50.4%
Taylor expanded in phi1 around 0 35.9%
Final simplification35.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt((t_0 + pow(sin((phi2 * -0.5)), 2.0))), sqrt((1.0 - 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 = cos(phi2) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)
code = r * (2.0d0 * atan2(sqrt((t_0 + (sin((phi2 * (-0.5d0))) ** 2.0d0))), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi2) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((t_0 + Math.pow(Math.sin((phi2 * -0.5)), 2.0))), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) return R * (2.0 * math.atan2(math.sqrt((t_0 + math.pow(math.sin((phi2 * -0.5)), 2.0))), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0); tmp = R * (2.0 * atan2(sqrt((t_0 + (sin((phi2 * -0.5)) ^ 2.0))), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.1%
associate-*l*62.1%
Simplified62.1%
Taylor expanded in phi2 around 0 50.3%
unpow250.3%
1-sub-sin50.4%
unpow250.4%
Simplified50.4%
Taylor expanded in phi1 around 0 35.9%
Taylor expanded in phi1 around 0 34.1%
Final simplification34.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(+
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow (sin (* phi1 0.5)) 2.0)))
(sqrt (+ 1.0 (* (cos phi2) (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(((cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + pow(sin((phi1 * 0.5)), 2.0))), sqrt((1.0 + (cos(phi2) * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = r * (2.0d0 * atan2(sqrt(((cos(phi1) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + (sin((phi1 * 0.5d0)) ** 2.0d0))), sqrt((1.0d0 + (cos(phi2) * ((cos((lambda1 - lambda2)) / 2.0d0) - 0.5d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + Math.pow(Math.sin((phi1 * 0.5)), 2.0))), Math.sqrt((1.0 + (Math.cos(phi2) * ((Math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + math.pow(math.sin((phi1 * 0.5)), 2.0))), math.sqrt((1.0 + (math.cos(phi2) * ((math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(1.0 + Float64(cos(phi2) * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + (sin((phi1 * 0.5)) ^ 2.0))), sqrt((1.0 + (cos(phi2) * ((cos((lambda1 - lambda2)) / 2.0) - 0.5)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\sin \left(\phi_1 \cdot 0.5\right)}^{2}}}{\sqrt{1 + \cos \phi_2 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)
\end{array}
Initial program 62.1%
associate-*l*62.1%
Simplified62.1%
Taylor expanded in phi2 around 0 50.3%
unpow250.3%
1-sub-sin50.4%
unpow250.4%
Simplified50.4%
Taylor expanded in phi1 around 0 35.9%
Taylor expanded in phi2 around 0 33.5%
unpow233.5%
sin-mult33.5%
Applied egg-rr33.5%
div-sub33.5%
+-inverses33.5%
cos-033.5%
metadata-eval33.5%
distribute-rgt-out33.5%
metadata-eval33.5%
*-rgt-identity33.5%
Simplified33.5%
Final simplification33.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (* (cos phi1) t_0) (pow (sin (* phi1 0.5)) 2.0)))
(sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(((cos(phi1) * t_0) + pow(sin((phi1 * 0.5)), 2.0))), sqrt((1.0 - 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 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt(((cos(phi1) * t_0) + (sin((phi1 * 0.5d0)) ** 2.0d0))), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * t_0) + Math.pow(Math.sin((phi1 * 0.5)), 2.0))), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) return R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * t_0) + math.pow(math.sin((phi1 * 0.5)), 2.0))), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * t_0) + (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * t_0) + (sin((phi1 * 0.5)) ^ 2.0))), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot t\_0 + {\sin \left(\phi_1 \cdot 0.5\right)}^{2}}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.1%
associate-*l*62.1%
Simplified62.1%
Taylor expanded in phi2 around 0 50.3%
unpow250.3%
1-sub-sin50.4%
unpow250.4%
Simplified50.4%
Taylor expanded in phi1 around 0 35.9%
Taylor expanded in phi2 around 0 33.5%
Taylor expanded in phi2 around 0 33.3%
Final simplification33.3%
(FPCore (R lambda1 lambda2 phi1 phi2) :precision binary64 (let* ((t_0 (sin (* 0.5 (- lambda1 lambda2))))) (* R (* 2.0 (atan2 t_0 (sqrt (- 1.0 (* (cos phi2) (pow t_0 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (lambda1 - lambda2)));
return R * (2.0 * atan2(t_0, sqrt((1.0 - (cos(phi2) * pow(t_0, 2.0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin((0.5d0 * (lambda1 - lambda2)))
code = r * (2.0d0 * atan2(t_0, sqrt((1.0d0 - (cos(phi2) * (t_0 ** 2.0d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((0.5 * (lambda1 - lambda2)));
return R * (2.0 * Math.atan2(t_0, Math.sqrt((1.0 - (Math.cos(phi2) * Math.pow(t_0, 2.0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((0.5 * (lambda1 - lambda2))) return R * (2.0 * math.atan2(t_0, math.sqrt((1.0 - (math.cos(phi2) * math.pow(t_0, 2.0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) return Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - Float64(cos(phi2) * (t_0 ^ 2.0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))); tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - (cos(phi2) * (t_0 ^ 2.0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \cos \phi_2 \cdot {t\_0}^{2}}}\right)
\end{array}
\end{array}
Initial program 62.1%
associate-*l*62.1%
Simplified62.1%
Taylor expanded in phi2 around 0 50.3%
unpow250.3%
1-sub-sin50.4%
unpow250.4%
Simplified50.4%
Taylor expanded in phi1 around 0 35.9%
Taylor expanded in phi2 around 0 33.5%
Taylor expanded in phi1 around 0 18.8%
herbie shell --seed 2024096
(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))))))))))