
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
2.0))
(t_1 (sin (* -0.5 (- lambda2 lambda1)))))
(*
(atan2
(sqrt (+ t_0 (* (* (cos phi1) (cos phi2)) (pow t_1 2.0))))
(sqrt
(+
1.0
(-
(* (cos phi1) (* (* (cos phi2) t_1) (sin (* 0.5 (- lambda2 lambda1)))))
t_0))))
(* 2.0 R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))), 2.0);
double t_1 = sin((-0.5 * (lambda2 - lambda1)));
return atan2(sqrt((t_0 + ((cos(phi1) * cos(phi2)) * pow(t_1, 2.0)))), sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * t_1) * sin((0.5 * (lambda2 - lambda1))))) - t_0)))) * (2.0 * R);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = ((cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_1 = sin(((-0.5d0) * (lambda2 - lambda1)))
code = atan2(sqrt((t_0 + ((cos(phi1) * cos(phi2)) * (t_1 ** 2.0d0)))), sqrt((1.0d0 + ((cos(phi1) * ((cos(phi2) * t_1) * sin((0.5d0 * (lambda2 - lambda1))))) - t_0)))) * (2.0d0 * r)
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((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_1 = Math.sin((-0.5 * (lambda2 - lambda1)));
return Math.atan2(Math.sqrt((t_0 + ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(t_1, 2.0)))), Math.sqrt((1.0 + ((Math.cos(phi1) * ((Math.cos(phi2) * t_1) * Math.sin((0.5 * (lambda2 - lambda1))))) - t_0)))) * (2.0 * R);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)))), 2.0) t_1 = math.sin((-0.5 * (lambda2 - lambda1))) return math.atan2(math.sqrt((t_0 + ((math.cos(phi1) * math.cos(phi2)) * math.pow(t_1, 2.0)))), math.sqrt((1.0 + ((math.cos(phi1) * ((math.cos(phi2) * t_1) * math.sin((0.5 * (lambda2 - lambda1))))) - t_0)))) * (2.0 * R)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_1 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) return Float64(atan(sqrt(Float64(t_0 + Float64(Float64(cos(phi1) * cos(phi2)) * (t_1 ^ 2.0)))), sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(Float64(cos(phi2) * t_1) * sin(Float64(0.5 * Float64(lambda2 - lambda1))))) - t_0)))) * Float64(2.0 * R)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))) ^ 2.0; t_1 = sin((-0.5 * (lambda2 - lambda1))); tmp = atan2(sqrt((t_0 + ((cos(phi1) * cos(phi2)) * (t_1 ^ 2.0)))), sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * t_1) * sin((0.5 * (lambda2 - lambda1))))) - t_0)))) * (2.0 * R); 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[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] * N[Sin[N[(0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)\\
\tan^{-1}_* \frac{\sqrt{t\_0 + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {t\_1}^{2}}}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\left(\cos \phi_2 \cdot t\_1\right) \cdot \sin \left(0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)\right) - t\_0\right)}} \cdot \left(2 \cdot R\right)
\end{array}
\end{array}
Initial program 62.9%
Simplified62.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6464.0%
Applied egg-rr64.0%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6477.0%
Applied egg-rr77.0%
Taylor expanded in lambda1 around -inf
Simplified77.0%
Final simplification77.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
2.0))
(t_1
(sqrt
(+
t_0
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))))
(t_2
(*
(* 2.0 R)
(atan2
t_1
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* (* (cos phi2) (sin (* -0.5 lambda2))) (sin (* 0.5 lambda2))))
t_0)))))))
(if (<= lambda2 -175000000.0)
t_2
(if (<= lambda2 3.9e+23)
(*
(* 2.0 R)
(atan2
t_1
(sqrt
(+
1.0
(-
(*
(cos phi1)
(*
(sin (* 0.5 (- lambda2 lambda1)))
(* (cos phi2) (sin (* 0.5 lambda1)))))
t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))), 2.0);
double t_1 = sqrt((t_0 + ((cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))));
double t_2 = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((-0.5 * lambda2))) * sin((0.5 * lambda2)))) - t_0))));
double tmp;
if (lambda2 <= -175000000.0) {
tmp = t_2;
} else if (lambda2 <= 3.9e+23) {
tmp = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * (sin((0.5 * (lambda2 - lambda1))) * (cos(phi2) * sin((0.5 * lambda1))))) - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = ((cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_1 = sqrt((t_0 + ((cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))))
t_2 = (2.0d0 * r) * atan2(t_1, sqrt((1.0d0 + ((cos(phi1) * ((cos(phi2) * sin(((-0.5d0) * lambda2))) * sin((0.5d0 * lambda2)))) - t_0))))
if (lambda2 <= (-175000000.0d0)) then
tmp = t_2
else if (lambda2 <= 3.9d+23) then
tmp = (2.0d0 * r) * atan2(t_1, sqrt((1.0d0 + ((cos(phi1) * (sin((0.5d0 * (lambda2 - lambda1))) * (cos(phi2) * sin((0.5d0 * lambda1))))) - t_0))))
else
tmp = t_2
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_1 = Math.sqrt((t_0 + ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))));
double t_2 = (2.0 * R) * Math.atan2(t_1, Math.sqrt((1.0 + ((Math.cos(phi1) * ((Math.cos(phi2) * Math.sin((-0.5 * lambda2))) * Math.sin((0.5 * lambda2)))) - t_0))));
double tmp;
if (lambda2 <= -175000000.0) {
tmp = t_2;
} else if (lambda2 <= 3.9e+23) {
tmp = (2.0 * R) * Math.atan2(t_1, Math.sqrt((1.0 + ((Math.cos(phi1) * (Math.sin((0.5 * (lambda2 - lambda1))) * (Math.cos(phi2) * Math.sin((0.5 * lambda1))))) - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)))), 2.0) t_1 = math.sqrt((t_0 + ((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))) t_2 = (2.0 * R) * math.atan2(t_1, math.sqrt((1.0 + ((math.cos(phi1) * ((math.cos(phi2) * math.sin((-0.5 * lambda2))) * math.sin((0.5 * lambda2)))) - t_0)))) tmp = 0 if lambda2 <= -175000000.0: tmp = t_2 elif lambda2 <= 3.9e+23: tmp = (2.0 * R) * math.atan2(t_1, math.sqrt((1.0 + ((math.cos(phi1) * (math.sin((0.5 * (lambda2 - lambda1))) * (math.cos(phi2) * math.sin((0.5 * lambda1))))) - t_0)))) else: tmp = t_2 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_1 = sqrt(Float64(t_0 + Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)))) t_2 = Float64(Float64(2.0 * R) * atan(t_1, sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(Float64(cos(phi2) * sin(Float64(-0.5 * lambda2))) * sin(Float64(0.5 * lambda2)))) - t_0))))) tmp = 0.0 if (lambda2 <= -175000000.0) tmp = t_2; elseif (lambda2 <= 3.9e+23) tmp = Float64(Float64(2.0 * R) * atan(t_1, sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(sin(Float64(0.5 * Float64(lambda2 - lambda1))) * Float64(cos(phi2) * sin(Float64(0.5 * lambda1))))) - t_0))))); else tmp = t_2; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))) ^ 2.0; t_1 = sqrt((t_0 + ((cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))); t_2 = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((-0.5 * lambda2))) * sin((0.5 * lambda2)))) - t_0)))); tmp = 0.0; if (lambda2 <= -175000000.0) tmp = t_2; elseif (lambda2 <= 3.9e+23) tmp = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * (sin((0.5 * (lambda2 - lambda1))) * (cos(phi2) * sin((0.5 * lambda1))))) - t_0)))); else tmp = 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[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(t$95$0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -175000000.0], t$95$2, If[LessEqual[lambda2, 3.9e+23], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Sin[N[(0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sqrt{t\_0 + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}\\
t_2 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\left(\cos \phi_2 \cdot \sin \left(-0.5 \cdot \lambda_2\right)\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right) - t\_0\right)}}\\
\mathbf{if}\;\lambda_2 \leq -175000000:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_2 \leq 3.9 \cdot 10^{+23}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\sin \left(0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right) \cdot \left(\cos \phi_2 \cdot \sin \left(0.5 \cdot \lambda_1\right)\right)\right) - t\_0\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda2 < -1.75e8 or 3.9e23 < lambda2 Initial program 47.8%
Simplified47.8%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6448.9%
Applied egg-rr48.9%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6455.7%
Applied egg-rr55.7%
Taylor expanded in lambda1 around -inf
Simplified55.7%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified55.8%
if -1.75e8 < lambda2 < 3.9e23Initial program 76.3%
Simplified76.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6477.2%
Applied egg-rr77.2%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6495.8%
Applied egg-rr95.8%
Taylor expanded in lambda1 around -inf
Simplified95.8%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6495.5%
Simplified95.5%
Final simplification76.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
2.0))
(t_1
(sqrt
(+
t_0
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))))
(t_2
(*
(* 2.0 R)
(atan2
t_1
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* (* (cos phi2) (sin (* -0.5 lambda2))) (sin (* 0.5 lambda2))))
t_0)))))))
(if (<= lambda2 -0.00011)
t_2
(if (<= lambda2 3.9e+23)
(*
(* 2.0 R)
(atan2
t_1
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* (sin (* 0.5 lambda1)) (* (cos phi2) (sin (* -0.5 lambda1)))))
t_0)))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))), 2.0);
double t_1 = sqrt((t_0 + ((cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))));
double t_2 = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((-0.5 * lambda2))) * sin((0.5 * lambda2)))) - t_0))));
double tmp;
if (lambda2 <= -0.00011) {
tmp = t_2;
} else if (lambda2 <= 3.9e+23) {
tmp = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * (sin((0.5 * lambda1)) * (cos(phi2) * sin((-0.5 * lambda1))))) - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = ((cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_1 = sqrt((t_0 + ((cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))))
t_2 = (2.0d0 * r) * atan2(t_1, sqrt((1.0d0 + ((cos(phi1) * ((cos(phi2) * sin(((-0.5d0) * lambda2))) * sin((0.5d0 * lambda2)))) - t_0))))
if (lambda2 <= (-0.00011d0)) then
tmp = t_2
else if (lambda2 <= 3.9d+23) then
tmp = (2.0d0 * r) * atan2(t_1, sqrt((1.0d0 + ((cos(phi1) * (sin((0.5d0 * lambda1)) * (cos(phi2) * sin(((-0.5d0) * lambda1))))) - t_0))))
else
tmp = t_2
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_1 = Math.sqrt((t_0 + ((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))));
double t_2 = (2.0 * R) * Math.atan2(t_1, Math.sqrt((1.0 + ((Math.cos(phi1) * ((Math.cos(phi2) * Math.sin((-0.5 * lambda2))) * Math.sin((0.5 * lambda2)))) - t_0))));
double tmp;
if (lambda2 <= -0.00011) {
tmp = t_2;
} else if (lambda2 <= 3.9e+23) {
tmp = (2.0 * R) * Math.atan2(t_1, Math.sqrt((1.0 + ((Math.cos(phi1) * (Math.sin((0.5 * lambda1)) * (Math.cos(phi2) * Math.sin((-0.5 * lambda1))))) - t_0))));
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)))), 2.0) t_1 = math.sqrt((t_0 + ((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))) t_2 = (2.0 * R) * math.atan2(t_1, math.sqrt((1.0 + ((math.cos(phi1) * ((math.cos(phi2) * math.sin((-0.5 * lambda2))) * math.sin((0.5 * lambda2)))) - t_0)))) tmp = 0 if lambda2 <= -0.00011: tmp = t_2 elif lambda2 <= 3.9e+23: tmp = (2.0 * R) * math.atan2(t_1, math.sqrt((1.0 + ((math.cos(phi1) * (math.sin((0.5 * lambda1)) * (math.cos(phi2) * math.sin((-0.5 * lambda1))))) - t_0)))) else: tmp = t_2 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_1 = sqrt(Float64(t_0 + Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)))) t_2 = Float64(Float64(2.0 * R) * atan(t_1, sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(Float64(cos(phi2) * sin(Float64(-0.5 * lambda2))) * sin(Float64(0.5 * lambda2)))) - t_0))))) tmp = 0.0 if (lambda2 <= -0.00011) tmp = t_2; elseif (lambda2 <= 3.9e+23) tmp = Float64(Float64(2.0 * R) * atan(t_1, sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(sin(Float64(0.5 * lambda1)) * Float64(cos(phi2) * sin(Float64(-0.5 * lambda1))))) - t_0))))); else tmp = t_2; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))) ^ 2.0; t_1 = sqrt((t_0 + ((cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))); t_2 = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((-0.5 * lambda2))) * sin((0.5 * lambda2)))) - t_0)))); tmp = 0.0; if (lambda2 <= -0.00011) tmp = t_2; elseif (lambda2 <= 3.9e+23) tmp = (2.0 * R) * atan2(t_1, sqrt((1.0 + ((cos(phi1) * (sin((0.5 * lambda1)) * (cos(phi2) * sin((-0.5 * lambda1))))) - t_0)))); else tmp = 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[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(t$95$0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -0.00011], t$95$2, If[LessEqual[lambda2, 3.9e+23], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(-0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_1 := \sqrt{t\_0 + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}\\
t_2 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\left(\cos \phi_2 \cdot \sin \left(-0.5 \cdot \lambda_2\right)\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right) - t\_0\right)}}\\
\mathbf{if}\;\lambda_2 \leq -0.00011:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_2 \leq 3.9 \cdot 10^{+23}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\sin \left(0.5 \cdot \lambda_1\right) \cdot \left(\cos \phi_2 \cdot \sin \left(-0.5 \cdot \lambda_1\right)\right)\right) - t\_0\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda2 < -1.10000000000000004e-4 or 3.9e23 < lambda2 Initial program 47.6%
Simplified47.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6448.7%
Applied egg-rr48.7%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6455.8%
Applied egg-rr55.8%
Taylor expanded in lambda1 around -inf
Simplified55.8%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified55.6%
if -1.10000000000000004e-4 < lambda2 < 3.9e23Initial program 76.7%
Simplified76.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6477.7%
Applied egg-rr77.7%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6496.0%
Applied egg-rr96.0%
Taylor expanded in lambda1 around -inf
Simplified96.1%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified96.0%
Final simplification76.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
2.0))
(t_2 (/ (- phi1 phi2) 2.0))
(t_3
(*
(* 2.0 R)
(atan2
(sqrt
(/
(+
(* (- (cos (/ 0.0 (/ 2.0 (- phi1 phi2)))) (cos (* 2.0 t_2))) 4.0)
(*
2.0
(*
(-
1.0
(+
(* (cos lambda1) (cos lambda2))
(* (sin lambda1) (sin lambda2))))
(+ (cos (+ phi2 phi1)) (cos (- phi1 phi2))))))
8.0))
(sqrt
(+
1.0
(-
(*
t_0
(*
(sin (/ (- lambda1 lambda2) 2.0))
(sin (/ (- lambda1 lambda2) -2.0))))
(pow (sin t_2) 2.0))))))))
(if (<= lambda2 -175000000.0)
t_3
(if (<= lambda2 3.9e+23)
(*
(* 2.0 R)
(atan2
(sqrt (+ t_1 (* t_0 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* (sin (* 0.5 lambda1)) (* (cos phi2) (sin (* -0.5 lambda1)))))
t_1)))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))), 2.0);
double t_2 = (phi1 - phi2) / 2.0;
double t_3 = (2.0 * R) * atan2(sqrt(((((cos((0.0 / (2.0 / (phi1 - phi2)))) - cos((2.0 * t_2))) * 4.0) + (2.0 * ((1.0 - ((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2)))) * (cos((phi2 + phi1)) + cos((phi1 - phi2)))))) / 8.0)), sqrt((1.0 + ((t_0 * (sin(((lambda1 - lambda2) / 2.0)) * sin(((lambda1 - lambda2) / -2.0)))) - pow(sin(t_2), 2.0)))));
double tmp;
if (lambda2 <= -175000000.0) {
tmp = t_3;
} else if (lambda2 <= 3.9e+23) {
tmp = (2.0 * R) * atan2(sqrt((t_1 + (t_0 * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)))), sqrt((1.0 + ((cos(phi1) * (sin((0.5 * lambda1)) * (cos(phi2) * sin((-0.5 * lambda1))))) - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = ((cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_2 = (phi1 - phi2) / 2.0d0
t_3 = (2.0d0 * r) * atan2(sqrt(((((cos((0.0d0 / (2.0d0 / (phi1 - phi2)))) - cos((2.0d0 * t_2))) * 4.0d0) + (2.0d0 * ((1.0d0 - ((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2)))) * (cos((phi2 + phi1)) + cos((phi1 - phi2)))))) / 8.0d0)), sqrt((1.0d0 + ((t_0 * (sin(((lambda1 - lambda2) / 2.0d0)) * sin(((lambda1 - lambda2) / (-2.0d0))))) - (sin(t_2) ** 2.0d0)))))
if (lambda2 <= (-175000000.0d0)) then
tmp = t_3
else if (lambda2 <= 3.9d+23) then
tmp = (2.0d0 * r) * atan2(sqrt((t_1 + (t_0 * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)))), sqrt((1.0d0 + ((cos(phi1) * (sin((0.5d0 * lambda1)) * (cos(phi2) * sin(((-0.5d0) * lambda1))))) - t_1))))
else
tmp = t_3
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_2 = (phi1 - phi2) / 2.0;
double t_3 = (2.0 * R) * Math.atan2(Math.sqrt(((((Math.cos((0.0 / (2.0 / (phi1 - phi2)))) - Math.cos((2.0 * t_2))) * 4.0) + (2.0 * ((1.0 - ((Math.cos(lambda1) * Math.cos(lambda2)) + (Math.sin(lambda1) * Math.sin(lambda2)))) * (Math.cos((phi2 + phi1)) + Math.cos((phi1 - phi2)))))) / 8.0)), Math.sqrt((1.0 + ((t_0 * (Math.sin(((lambda1 - lambda2) / 2.0)) * Math.sin(((lambda1 - lambda2) / -2.0)))) - Math.pow(Math.sin(t_2), 2.0)))));
double tmp;
if (lambda2 <= -175000000.0) {
tmp = t_3;
} else if (lambda2 <= 3.9e+23) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((t_1 + (t_0 * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))), Math.sqrt((1.0 + ((Math.cos(phi1) * (Math.sin((0.5 * lambda1)) * (Math.cos(phi2) * Math.sin((-0.5 * lambda1))))) - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)))), 2.0) t_2 = (phi1 - phi2) / 2.0 t_3 = (2.0 * R) * math.atan2(math.sqrt(((((math.cos((0.0 / (2.0 / (phi1 - phi2)))) - math.cos((2.0 * t_2))) * 4.0) + (2.0 * ((1.0 - ((math.cos(lambda1) * math.cos(lambda2)) + (math.sin(lambda1) * math.sin(lambda2)))) * (math.cos((phi2 + phi1)) + math.cos((phi1 - phi2)))))) / 8.0)), math.sqrt((1.0 + ((t_0 * (math.sin(((lambda1 - lambda2) / 2.0)) * math.sin(((lambda1 - lambda2) / -2.0)))) - math.pow(math.sin(t_2), 2.0))))) tmp = 0 if lambda2 <= -175000000.0: tmp = t_3 elif lambda2 <= 3.9e+23: tmp = (2.0 * R) * math.atan2(math.sqrt((t_1 + (t_0 * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)))), math.sqrt((1.0 + ((math.cos(phi1) * (math.sin((0.5 * lambda1)) * (math.cos(phi2) * math.sin((-0.5 * lambda1))))) - t_1)))) else: tmp = t_3 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_2 = Float64(Float64(phi1 - phi2) / 2.0) t_3 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(Float64(cos(Float64(0.0 / Float64(2.0 / Float64(phi1 - phi2)))) - cos(Float64(2.0 * t_2))) * 4.0) + Float64(2.0 * Float64(Float64(1.0 - Float64(Float64(cos(lambda1) * cos(lambda2)) + Float64(sin(lambda1) * sin(lambda2)))) * Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi1 - phi2)))))) / 8.0)), sqrt(Float64(1.0 + Float64(Float64(t_0 * Float64(sin(Float64(Float64(lambda1 - lambda2) / 2.0)) * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - (sin(t_2) ^ 2.0)))))) tmp = 0.0 if (lambda2 <= -175000000.0) tmp = t_3; elseif (lambda2 <= 3.9e+23) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_1 + Float64(t_0 * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)))), sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(sin(Float64(0.5 * lambda1)) * Float64(cos(phi2) * sin(Float64(-0.5 * lambda1))))) - t_1))))); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = ((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))) ^ 2.0; t_2 = (phi1 - phi2) / 2.0; t_3 = (2.0 * R) * atan2(sqrt(((((cos((0.0 / (2.0 / (phi1 - phi2)))) - cos((2.0 * t_2))) * 4.0) + (2.0 * ((1.0 - ((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2)))) * (cos((phi2 + phi1)) + cos((phi1 - phi2)))))) / 8.0)), sqrt((1.0 + ((t_0 * (sin(((lambda1 - lambda2) / 2.0)) * sin(((lambda1 - lambda2) / -2.0)))) - (sin(t_2) ^ 2.0))))); tmp = 0.0; if (lambda2 <= -175000000.0) tmp = t_3; elseif (lambda2 <= 3.9e+23) tmp = (2.0 * R) * atan2(sqrt((t_1 + (t_0 * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)))), sqrt((1.0 + ((cos(phi1) * (sin((0.5 * lambda1)) * (cos(phi2) * sin((-0.5 * lambda1))))) - t_1)))); else tmp = t_3; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(N[(N[Cos[N[(0.0 / N[(2.0 / N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] + N[(2.0 * N[(N[(1.0 - N[(N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 8.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$0 * N[(N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -175000000.0], t$95$3, If[LessEqual[lambda2, 3.9e+23], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(-0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
t_3 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\frac{\left(\cos \left(\frac{0}{\frac{2}{\phi_1 - \phi_2}}\right) - \cos \left(2 \cdot t\_2\right)\right) \cdot 4 + 2 \cdot \left(\left(1 - \left(\cos \lambda_1 \cdot \cos \lambda_2 + \sin \lambda_1 \cdot \sin \lambda_2\right)\right) \cdot \left(\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_1 - \phi_2\right)\right)\right)}{8}}}{\sqrt{1 + \left(t\_0 \cdot \left(\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - {\sin t\_2}^{2}\right)}}\\
\mathbf{if}\;\lambda_2 \leq -175000000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_2 \leq 3.9 \cdot 10^{+23}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\sin \left(0.5 \cdot \lambda_1\right) \cdot \left(\cos \phi_2 \cdot \sin \left(-0.5 \cdot \lambda_1\right)\right)\right) - t\_1\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if lambda2 < -1.75e8 or 3.9e23 < lambda2 Initial program 47.8%
Simplified47.8%
Applied egg-rr48.7%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6449.9%
Applied egg-rr49.9%
if -1.75e8 < lambda2 < 3.9e23Initial program 76.3%
Simplified76.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6477.2%
Applied egg-rr77.2%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6495.8%
Applied egg-rr95.8%
Taylor expanded in lambda1 around -inf
Simplified95.8%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified95.5%
Final simplification74.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(* 2.0 R)
(atan2
(sqrt
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
(* (* (cos phi1) (cos phi2)) (* t_0 t_0))))
(sqrt
(+
1.0
(-
(*
(+ -1.0 (cos (- lambda1 lambda2)))
(* (cos phi1) (/ (cos phi2) 2.0)))
(+ 0.5 (* -0.5 (cos (- phi1 phi2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return (2.0 * R) * atan2(sqrt((pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + ((cos(phi1) * cos(phi2)) * (t_0 * t_0)))), sqrt((1.0 + (((-1.0 + cos((lambda1 - lambda2))) * (cos(phi1) * (cos(phi2) / 2.0))) - (0.5 + (-0.5 * cos((phi1 - phi2))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = (2.0d0 * r) * atan2(sqrt(((((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0) + ((cos(phi1) * cos(phi2)) * (t_0 * t_0)))), sqrt((1.0d0 + ((((-1.0d0) + cos((lambda1 - lambda2))) * (cos(phi1) * (cos(phi2) / 2.0d0))) - (0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0) + ((Math.cos(phi1) * Math.cos(phi2)) * (t_0 * t_0)))), Math.sqrt((1.0 + (((-1.0 + Math.cos((lambda1 - lambda2))) * (Math.cos(phi1) * (Math.cos(phi2) / 2.0))) - (0.5 + (-0.5 * Math.cos((phi1 - phi2))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return (2.0 * R) * math.atan2(math.sqrt((math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) + ((math.cos(phi1) * math.cos(phi2)) * (t_0 * t_0)))), math.sqrt((1.0 + (((-1.0 + math.cos((lambda1 - lambda2))) * (math.cos(phi1) * (math.cos(phi2) / 2.0))) - (0.5 + (-0.5 * math.cos((phi1 - phi2))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + Float64(Float64(cos(phi1) * cos(phi2)) * Float64(t_0 * t_0)))), sqrt(Float64(1.0 + Float64(Float64(Float64(-1.0 + cos(Float64(lambda1 - lambda2))) * Float64(cos(phi1) * Float64(cos(phi2) / 2.0))) - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = (2.0 * R) * atan2(sqrt(((((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0) + ((cos(phi1) * cos(phi2)) * (t_0 * t_0)))), sqrt((1.0 + (((-1.0 + cos((lambda1 - lambda2))) * (cos(phi1) * (cos(phi2) / 2.0))) - (0.5 + (-0.5 * cos((phi1 - phi2)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(t\_0 \cdot t\_0\right)}}{\sqrt{1 + \left(\left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right) \cdot \left(\cos \phi_1 \cdot \frac{\cos \phi_2}{2}\right) - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)\right)}}
\end{array}
\end{array}
Initial program 62.9%
Simplified62.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6464.0%
Applied egg-rr64.0%
Applied egg-rr64.1%
Final simplification64.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (* t_1 t_1))))
(sqrt
(fma
(- (/ (cos (- lambda1 lambda2)) 2.0) 0.5)
t_0
(- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (phi1 - phi2) / 2.0;
return (2.0 * R) * atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (t_1 * t_1)))), sqrt(fma(((cos((lambda1 - lambda2)) / 2.0) - 0.5), t_0, (1.0 - (0.5 - (0.5 * cos((2.0 * t_2))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_1)))), sqrt(fma(Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5), t_0, Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision] * t$95$0 + N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_1\right)}}{\sqrt{\mathsf{fma}\left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5, t\_0, 1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right)\right)}}
\end{array}
\end{array}
Initial program 62.9%
Simplified62.9%
Applied egg-rr63.0%
Final simplification63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (* t_1 t_1))))
(sqrt
(+
1.0
(-
(/ (* t_0 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0)
(- 0.5 (* 0.5 (cos (* 2.0 t_2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (phi1 - phi2) / 2.0;
return (2.0 * R) * atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (t_1 * t_1)))), sqrt((1.0 + (((t_0 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0) - (0.5 - (0.5 * cos((2.0 * t_2))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = (phi1 - phi2) / 2.0d0
code = (2.0d0 * r) * atan2(sqrt(((sin(t_2) ** 2.0d0) + (t_0 * (t_1 * t_1)))), sqrt((1.0d0 + (((t_0 * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0) - (0.5d0 - (0.5d0 * cos((2.0d0 * t_2))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = (phi1 - phi2) / 2.0;
return (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + (t_0 * (t_1 * t_1)))), Math.sqrt((1.0 + (((t_0 * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0) - (0.5 - (0.5 * Math.cos((2.0 * t_2))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = (phi1 - phi2) / 2.0 return (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + (t_0 * (t_1 * t_1)))), math.sqrt((1.0 + (((t_0 * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0) - (0.5 - (0.5 * math.cos((2.0 * t_2))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_1)))), sqrt(Float64(1.0 + Float64(Float64(Float64(t_0 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0) - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = (phi1 - phi2) / 2.0; tmp = (2.0 * R) * atan2(sqrt(((sin(t_2) ^ 2.0) + (t_0 * (t_1 * t_1)))), sqrt((1.0 + (((t_0 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0) - (0.5 - (0.5 * cos((2.0 * t_2)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(t$95$0 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_1\right)}}{\sqrt{1 + \left(\frac{t\_0 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2} - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right)\right)}}
\end{array}
\end{array}
Initial program 62.9%
Simplified62.9%
Applied egg-rr63.0%
Final simplification63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (* t_1 t_0))))
(sqrt
(+
(/ (* t_1 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0)
(+ 0.5 (* 0.5 (cos (* 2.0 t_2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), sqrt((((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_2))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = cos(phi1) * cos(phi2)
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + (t_0 * (t_1 * t_0)))), sqrt((((t_1 * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_2))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), Math.sqrt((((t_1 * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_2))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), math.sqrt((((t_1 * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_2))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_0)))), sqrt(Float64(Float64(Float64(t_1 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = cos(phi1) * cos(phi2); t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + (t_0 * (t_1 * t_0)))), sqrt((((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_2)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$1 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_0\right)}}{\sqrt{\frac{t\_1 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.9%
Applied egg-rr63.0%
Final simplification63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (- 1.0 t_1))
(t_3 (+ -1.0 t_1))
(t_4 (cos (- phi1 phi2)))
(t_5 (/ (- phi1 phi2) 2.0)))
(if (<= phi2 -0.22)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_2 (* 0.5 (cos phi2))) (* (cos phi2) -0.5))))
(sqrt (+ (/ (* t_0 t_3) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_5))))))))
(if (<= phi2 1.2e-6)
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_5) 2.0) (/ (* t_0 t_2) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos phi1)))
(* 0.5 (+ (* phi2 (sin phi1)) (* (cos phi1) t_3)))))))
(*
(* 2.0 R)
(atan2
(sqrt
(/
(+ (* 4.0 (- 1.0 t_4)) (* 2.0 (* (+ (cos (+ phi2 phi1)) t_4) t_2)))
8.0))
(sqrt
(+
1.0
(-
(* t_3 (* (cos phi1) (/ (cos phi2) 2.0)))
(+ 0.5 (* -0.5 t_4)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = 1.0 - t_1;
double t_3 = -1.0 + t_1;
double t_4 = cos((phi1 - phi2));
double t_5 = (phi1 - phi2) / 2.0;
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_5)))))));
} else if (phi2 <= 1.2e-6) {
tmp = (2.0 * R) * atan2(sqrt((pow(sin(t_5), 2.0) + ((t_0 * t_2) / 2.0))), sqrt(((0.5 + (0.5 * cos(phi1))) + (0.5 * ((phi2 * sin(phi1)) + (cos(phi1) * t_3))))));
} else {
tmp = (2.0 * R) * atan2(sqrt((((4.0 * (1.0 - t_4)) + (2.0 * ((cos((phi2 + phi1)) + t_4) * t_2))) / 8.0)), sqrt((1.0 + ((t_3 * (cos(phi1) * (cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_4))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = 1.0d0 - t_1
t_3 = (-1.0d0) + t_1
t_4 = cos((phi1 - phi2))
t_5 = (phi1 - phi2) / 2.0d0
if (phi2 <= (-0.22d0)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_2 * (0.5d0 * cos(phi2))) + (cos(phi2) * (-0.5d0))))), sqrt((((t_0 * t_3) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_5)))))))
else if (phi2 <= 1.2d-6) then
tmp = (2.0d0 * r) * atan2(sqrt(((sin(t_5) ** 2.0d0) + ((t_0 * t_2) / 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos(phi1))) + (0.5d0 * ((phi2 * sin(phi1)) + (cos(phi1) * t_3))))))
else
tmp = (2.0d0 * r) * atan2(sqrt((((4.0d0 * (1.0d0 - t_4)) + (2.0d0 * ((cos((phi2 + phi1)) + t_4) * t_2))) / 8.0d0)), sqrt((1.0d0 + ((t_3 * (cos(phi1) * (cos(phi2) / 2.0d0))) - (0.5d0 + ((-0.5d0) * t_4))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = 1.0 - t_1;
double t_3 = -1.0 + t_1;
double t_4 = Math.cos((phi1 - phi2));
double t_5 = (phi1 - phi2) / 2.0;
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_2 * (0.5 * Math.cos(phi2))) + (Math.cos(phi2) * -0.5)))), Math.sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_5)))))));
} else if (phi2 <= 1.2e-6) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_5), 2.0) + ((t_0 * t_2) / 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos(phi1))) + (0.5 * ((phi2 * Math.sin(phi1)) + (Math.cos(phi1) * t_3))))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((((4.0 * (1.0 - t_4)) + (2.0 * ((Math.cos((phi2 + phi1)) + t_4) * t_2))) / 8.0)), Math.sqrt((1.0 + ((t_3 * (Math.cos(phi1) * (Math.cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_4))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = 1.0 - t_1 t_3 = -1.0 + t_1 t_4 = math.cos((phi1 - phi2)) t_5 = (phi1 - phi2) / 2.0 tmp = 0 if phi2 <= -0.22: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_2 * (0.5 * math.cos(phi2))) + (math.cos(phi2) * -0.5)))), math.sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_5))))))) elif phi2 <= 1.2e-6: tmp = (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_5), 2.0) + ((t_0 * t_2) / 2.0))), math.sqrt(((0.5 + (0.5 * math.cos(phi1))) + (0.5 * ((phi2 * math.sin(phi1)) + (math.cos(phi1) * t_3)))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt((((4.0 * (1.0 - t_4)) + (2.0 * ((math.cos((phi2 + phi1)) + t_4) * t_2))) / 8.0)), math.sqrt((1.0 + ((t_3 * (math.cos(phi1) * (math.cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_4)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(1.0 - t_1) t_3 = Float64(-1.0 + t_1) t_4 = cos(Float64(phi1 - phi2)) t_5 = Float64(Float64(phi1 - phi2) / 2.0) tmp = 0.0 if (phi2 <= -0.22) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_2 * Float64(0.5 * cos(phi2))) + Float64(cos(phi2) * -0.5)))), sqrt(Float64(Float64(Float64(t_0 * t_3) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_5)))))))); elseif (phi2 <= 1.2e-6) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_5) ^ 2.0) + Float64(Float64(t_0 * t_2) / 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi1))) + Float64(0.5 * Float64(Float64(phi2 * sin(phi1)) + Float64(cos(phi1) * t_3))))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(4.0 * Float64(1.0 - t_4)) + Float64(2.0 * Float64(Float64(cos(Float64(phi2 + phi1)) + t_4) * t_2))) / 8.0)), sqrt(Float64(1.0 + Float64(Float64(t_3 * Float64(cos(phi1) * Float64(cos(phi2) / 2.0))) - Float64(0.5 + Float64(-0.5 * t_4))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = 1.0 - t_1; t_3 = -1.0 + t_1; t_4 = cos((phi1 - phi2)); t_5 = (phi1 - phi2) / 2.0; tmp = 0.0; if (phi2 <= -0.22) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_5))))))); elseif (phi2 <= 1.2e-6) tmp = (2.0 * R) * atan2(sqrt(((sin(t_5) ^ 2.0) + ((t_0 * t_2) / 2.0))), sqrt(((0.5 + (0.5 * cos(phi1))) + (0.5 * ((phi2 * sin(phi1)) + (cos(phi1) * t_3)))))); else tmp = (2.0 * R) * atan2(sqrt((((4.0 * (1.0 - t_4)) + (2.0 * ((cos((phi2 + phi1)) + t_4) * t_2))) / 8.0)), sqrt((1.0 + ((t_3 * (cos(phi1) * (cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_4)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(-1.0 + t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[phi2, -0.22], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$2 * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$3), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 1.2e-6], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$5], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(N[(phi2 * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(4.0 * N[(1.0 - t$95$4), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 8.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$3 * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 + N[(-0.5 * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 1 - t\_1\\
t_3 := -1 + t\_1\\
t_4 := \cos \left(\phi_1 - \phi_2\right)\\
t_5 := \frac{\phi_1 - \phi_2}{2}\\
\mathbf{if}\;\phi_2 \leq -0.22:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 \cdot \left(0.5 \cdot \cos \phi_2\right) + \cos \phi_2 \cdot -0.5\right)}}{\sqrt{\frac{t\_0 \cdot t\_3}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_5\right)\right)}}\\
\mathbf{elif}\;\phi_2 \leq 1.2 \cdot 10^{-6}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_5}^{2} + \frac{t\_0 \cdot t\_2}{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_1\right) + 0.5 \cdot \left(\phi_2 \cdot \sin \phi_1 + \cos \phi_1 \cdot t\_3\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\frac{4 \cdot \left(1 - t\_4\right) + 2 \cdot \left(\left(\cos \left(\phi_2 + \phi_1\right) + t\_4\right) \cdot t\_2\right)}{8}}}{\sqrt{1 + \left(t\_3 \cdot \left(\cos \phi_1 \cdot \frac{\cos \phi_2}{2}\right) - \left(0.5 + -0.5 \cdot t\_4\right)\right)}}\\
\end{array}
\end{array}
if phi2 < -0.220000000000000001Initial program 50.5%
Applied egg-rr50.6%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified52.8%
if -0.220000000000000001 < phi2 < 1.1999999999999999e-6Initial program 73.8%
Applied egg-rr62.6%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6469.8%
Applied egg-rr69.8%
Taylor expanded in phi2 around 0
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6469.8%
Simplified69.8%
if 1.1999999999999999e-6 < phi2 Initial program 55.3%
Simplified55.2%
Applied egg-rr56.0%
Applied egg-rr56.1%
Final simplification61.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 1.0 (cos (- lambda1 lambda2)))))
(*
(* 2.0 R)
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(/ (* (* (cos phi1) (cos phi2)) t_0) 2.0)))
(sqrt
(+
(- 0.5 (* (* (cos phi1) (/ (cos phi2) 2.0)) t_0))
(* 0.5 (cos (- phi1 phi2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 1.0 - cos((lambda1 - lambda2));
return (2.0 * R) * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) / 2.0))), sqrt(((0.5 - ((cos(phi1) * (cos(phi2) / 2.0)) * t_0)) + (0.5 * cos((phi1 - phi2))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 1.0d0 - cos((lambda1 - lambda2))
code = (2.0d0 * r) * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) / 2.0d0))), sqrt(((0.5d0 - ((cos(phi1) * (cos(phi2) / 2.0d0)) * t_0)) + (0.5d0 * cos((phi1 - phi2))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 1.0 - Math.cos((lambda1 - lambda2));
return (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) / 2.0))), Math.sqrt(((0.5 - ((Math.cos(phi1) * (Math.cos(phi2) / 2.0)) * t_0)) + (0.5 * Math.cos((phi1 - phi2))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 1.0 - math.cos((lambda1 - lambda2)) return (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) / 2.0))), math.sqrt(((0.5 - ((math.cos(phi1) * (math.cos(phi2) / 2.0)) * t_0)) + (0.5 * math.cos((phi1 - phi2))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(1.0 - cos(Float64(lambda1 - lambda2))) return Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) / 2.0))), sqrt(Float64(Float64(0.5 - Float64(Float64(cos(phi1) * Float64(cos(phi2) / 2.0)) * t_0)) + Float64(0.5 * cos(Float64(phi1 - phi2))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 1.0 - cos((lambda1 - lambda2)); tmp = (2.0 * R) * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) / 2.0))), sqrt(((0.5 - ((cos(phi1) * (cos(phi2) / 2.0)) * t_0)) + (0.5 * cos((phi1 - phi2)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(1.0 - N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(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] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 - N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 - \cos \left(\lambda_1 - \lambda_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0}{2}}}{\sqrt{\left(0.5 - \left(\cos \phi_1 \cdot \frac{\cos \phi_2}{2}\right) \cdot t\_0\right) + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}}
\end{array}
\end{array}
Initial program 62.9%
Applied egg-rr57.6%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6461.0%
Applied egg-rr61.0%
+-commutativeN/A
associate-+r+N/A
+-lowering-+.f64N/A
Applied egg-rr61.1%
Final simplification61.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (- 1.0 t_1))
(t_3 (/ (- phi1 phi2) 2.0))
(t_4 (+ -1.0 t_1))
(t_5 (cos (- phi1 phi2))))
(if (<= phi2 -0.22)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_2 (* 0.5 (cos phi2))) (* (cos phi2) -0.5))))
(sqrt (+ (/ (* t_0 t_4) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_3))))))))
(if (<= phi2 1.5e-6)
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_3) 2.0) (/ (* t_0 t_2) 2.0)))
(sqrt (+ 0.5 (* 0.5 (+ (cos phi1) (* (cos phi1) t_4)))))))
(*
(* 2.0 R)
(atan2
(sqrt
(/
(+ (* 4.0 (- 1.0 t_5)) (* 2.0 (* (+ (cos (+ phi2 phi1)) t_5) t_2)))
8.0))
(sqrt
(+
1.0
(-
(* t_4 (* (cos phi1) (/ (cos phi2) 2.0)))
(+ 0.5 (* -0.5 t_5)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = 1.0 - t_1;
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = -1.0 + t_1;
double t_5 = cos((phi1 - phi2));
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3)))))));
} else if (phi2 <= 1.5e-6) {
tmp = (2.0 * R) * atan2(sqrt((pow(sin(t_3), 2.0) + ((t_0 * t_2) / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_4))))));
} else {
tmp = (2.0 * R) * atan2(sqrt((((4.0 * (1.0 - t_5)) + (2.0 * ((cos((phi2 + phi1)) + t_5) * t_2))) / 8.0)), sqrt((1.0 + ((t_4 * (cos(phi1) * (cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_5))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = 1.0d0 - t_1
t_3 = (phi1 - phi2) / 2.0d0
t_4 = (-1.0d0) + t_1
t_5 = cos((phi1 - phi2))
if (phi2 <= (-0.22d0)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_2 * (0.5d0 * cos(phi2))) + (cos(phi2) * (-0.5d0))))), sqrt((((t_0 * t_4) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_3)))))))
else if (phi2 <= 1.5d-6) then
tmp = (2.0d0 * r) * atan2(sqrt(((sin(t_3) ** 2.0d0) + ((t_0 * t_2) / 2.0d0))), sqrt((0.5d0 + (0.5d0 * (cos(phi1) + (cos(phi1) * t_4))))))
else
tmp = (2.0d0 * r) * atan2(sqrt((((4.0d0 * (1.0d0 - t_5)) + (2.0d0 * ((cos((phi2 + phi1)) + t_5) * t_2))) / 8.0d0)), sqrt((1.0d0 + ((t_4 * (cos(phi1) * (cos(phi2) / 2.0d0))) - (0.5d0 + ((-0.5d0) * t_5))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = 1.0 - t_1;
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = -1.0 + t_1;
double t_5 = Math.cos((phi1 - phi2));
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_2 * (0.5 * Math.cos(phi2))) + (Math.cos(phi2) * -0.5)))), Math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_3)))))));
} else if (phi2 <= 1.5e-6) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_3), 2.0) + ((t_0 * t_2) / 2.0))), Math.sqrt((0.5 + (0.5 * (Math.cos(phi1) + (Math.cos(phi1) * t_4))))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((((4.0 * (1.0 - t_5)) + (2.0 * ((Math.cos((phi2 + phi1)) + t_5) * t_2))) / 8.0)), Math.sqrt((1.0 + ((t_4 * (Math.cos(phi1) * (Math.cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_5))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = 1.0 - t_1 t_3 = (phi1 - phi2) / 2.0 t_4 = -1.0 + t_1 t_5 = math.cos((phi1 - phi2)) tmp = 0 if phi2 <= -0.22: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_2 * (0.5 * math.cos(phi2))) + (math.cos(phi2) * -0.5)))), math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_3))))))) elif phi2 <= 1.5e-6: tmp = (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_3), 2.0) + ((t_0 * t_2) / 2.0))), math.sqrt((0.5 + (0.5 * (math.cos(phi1) + (math.cos(phi1) * t_4)))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt((((4.0 * (1.0 - t_5)) + (2.0 * ((math.cos((phi2 + phi1)) + t_5) * t_2))) / 8.0)), math.sqrt((1.0 + ((t_4 * (math.cos(phi1) * (math.cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_5)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(1.0 - t_1) t_3 = Float64(Float64(phi1 - phi2) / 2.0) t_4 = Float64(-1.0 + t_1) t_5 = cos(Float64(phi1 - phi2)) tmp = 0.0 if (phi2 <= -0.22) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_2 * Float64(0.5 * cos(phi2))) + Float64(cos(phi2) * -0.5)))), sqrt(Float64(Float64(Float64(t_0 * t_4) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_3)))))))); elseif (phi2 <= 1.5e-6) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_3) ^ 2.0) + Float64(Float64(t_0 * t_2) / 2.0))), sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(phi1) + Float64(cos(phi1) * t_4))))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(4.0 * Float64(1.0 - t_5)) + Float64(2.0 * Float64(Float64(cos(Float64(phi2 + phi1)) + t_5) * t_2))) / 8.0)), sqrt(Float64(1.0 + Float64(Float64(t_4 * Float64(cos(phi1) * Float64(cos(phi2) / 2.0))) - Float64(0.5 + Float64(-0.5 * t_5))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = 1.0 - t_1; t_3 = (phi1 - phi2) / 2.0; t_4 = -1.0 + t_1; t_5 = cos((phi1 - phi2)); tmp = 0.0; if (phi2 <= -0.22) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3))))))); elseif (phi2 <= 1.5e-6) tmp = (2.0 * R) * atan2(sqrt(((sin(t_3) ^ 2.0) + ((t_0 * t_2) / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_4)))))); else tmp = (2.0 * R) * atan2(sqrt((((4.0 * (1.0 - t_5)) + (2.0 * ((cos((phi2 + phi1)) + t_5) * t_2))) / 8.0)), sqrt((1.0 + ((t_4 * (cos(phi1) * (cos(phi2) / 2.0))) - (0.5 + (-0.5 * t_5)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[(-1.0 + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -0.22], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$2 * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$4), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 1.5e-6], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(4.0 * N[(1.0 - t$95$5), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + t$95$5), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 8.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$4 * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 + N[(-0.5 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 1 - t\_1\\
t_3 := \frac{\phi_1 - \phi_2}{2}\\
t_4 := -1 + t\_1\\
t_5 := \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;\phi_2 \leq -0.22:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 \cdot \left(0.5 \cdot \cos \phi_2\right) + \cos \phi_2 \cdot -0.5\right)}}{\sqrt{\frac{t\_0 \cdot t\_4}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right)}}\\
\mathbf{elif}\;\phi_2 \leq 1.5 \cdot 10^{-6}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_3}^{2} + \frac{t\_0 \cdot t\_2}{2}}}{\sqrt{0.5 + 0.5 \cdot \left(\cos \phi_1 + \cos \phi_1 \cdot t\_4\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\frac{4 \cdot \left(1 - t\_5\right) + 2 \cdot \left(\left(\cos \left(\phi_2 + \phi_1\right) + t\_5\right) \cdot t\_2\right)}{8}}}{\sqrt{1 + \left(t\_4 \cdot \left(\cos \phi_1 \cdot \frac{\cos \phi_2}{2}\right) - \left(0.5 + -0.5 \cdot t\_5\right)\right)}}\\
\end{array}
\end{array}
if phi2 < -0.220000000000000001Initial program 50.5%
Applied egg-rr50.6%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified52.8%
if -0.220000000000000001 < phi2 < 1.5e-6Initial program 73.4%
Applied egg-rr62.3%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6469.4%
Applied egg-rr69.4%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6469.4%
Simplified69.4%
if 1.5e-6 < phi2 Initial program 55.8%
Simplified55.7%
Applied egg-rr56.6%
Applied egg-rr56.7%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- phi1 phi2)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (- 1.0 t_2))
(t_4 (+ -1.0 t_2))
(t_5 (* t_0 t_3))
(t_6 (/ (- phi1 phi2) 2.0)))
(if (<= phi2 -0.22)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_3 (* 0.5 (cos phi2))) (* (cos phi2) -0.5))))
(sqrt (+ (/ (* t_0 t_4) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_6))))))))
(if (<= phi2 5.5e-7)
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_6) 2.0) (/ t_5 2.0)))
(sqrt (+ 0.5 (* 0.5 (+ (cos phi1) (* (cos phi1) t_4)))))))
(*
(* 2.0 R)
(atan2
(sqrt
(+ (+ 0.5 (* -0.5 t_1)) (* (* (cos phi1) (/ (cos phi2) 2.0)) t_3)))
(sqrt (+ 0.5 (* 0.5 (- t_1 t_5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((phi1 - phi2));
double t_2 = cos((lambda1 - lambda2));
double t_3 = 1.0 - t_2;
double t_4 = -1.0 + t_2;
double t_5 = t_0 * t_3;
double t_6 = (phi1 - phi2) / 2.0;
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_6)))))));
} else if (phi2 <= 5.5e-7) {
tmp = (2.0 * R) * atan2(sqrt((pow(sin(t_6), 2.0) + (t_5 / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_4))))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((0.5 + (-0.5 * t_1)) + ((cos(phi1) * (cos(phi2) / 2.0)) * t_3))), sqrt((0.5 + (0.5 * (t_1 - t_5)))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((phi1 - phi2))
t_2 = cos((lambda1 - lambda2))
t_3 = 1.0d0 - t_2
t_4 = (-1.0d0) + t_2
t_5 = t_0 * t_3
t_6 = (phi1 - phi2) / 2.0d0
if (phi2 <= (-0.22d0)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_3 * (0.5d0 * cos(phi2))) + (cos(phi2) * (-0.5d0))))), sqrt((((t_0 * t_4) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_6)))))))
else if (phi2 <= 5.5d-7) then
tmp = (2.0d0 * r) * atan2(sqrt(((sin(t_6) ** 2.0d0) + (t_5 / 2.0d0))), sqrt((0.5d0 + (0.5d0 * (cos(phi1) + (cos(phi1) * t_4))))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((0.5d0 + ((-0.5d0) * t_1)) + ((cos(phi1) * (cos(phi2) / 2.0d0)) * t_3))), sqrt((0.5d0 + (0.5d0 * (t_1 - t_5)))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((phi1 - phi2));
double t_2 = Math.cos((lambda1 - lambda2));
double t_3 = 1.0 - t_2;
double t_4 = -1.0 + t_2;
double t_5 = t_0 * t_3;
double t_6 = (phi1 - phi2) / 2.0;
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_3 * (0.5 * Math.cos(phi2))) + (Math.cos(phi2) * -0.5)))), Math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_6)))))));
} else if (phi2 <= 5.5e-7) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_6), 2.0) + (t_5 / 2.0))), Math.sqrt((0.5 + (0.5 * (Math.cos(phi1) + (Math.cos(phi1) * t_4))))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((0.5 + (-0.5 * t_1)) + ((Math.cos(phi1) * (Math.cos(phi2) / 2.0)) * t_3))), Math.sqrt((0.5 + (0.5 * (t_1 - t_5)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((phi1 - phi2)) t_2 = math.cos((lambda1 - lambda2)) t_3 = 1.0 - t_2 t_4 = -1.0 + t_2 t_5 = t_0 * t_3 t_6 = (phi1 - phi2) / 2.0 tmp = 0 if phi2 <= -0.22: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_3 * (0.5 * math.cos(phi2))) + (math.cos(phi2) * -0.5)))), math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_6))))))) elif phi2 <= 5.5e-7: tmp = (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_6), 2.0) + (t_5 / 2.0))), math.sqrt((0.5 + (0.5 * (math.cos(phi1) + (math.cos(phi1) * t_4)))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt(((0.5 + (-0.5 * t_1)) + ((math.cos(phi1) * (math.cos(phi2) / 2.0)) * t_3))), math.sqrt((0.5 + (0.5 * (t_1 - t_5))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(phi1 - phi2)) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = Float64(1.0 - t_2) t_4 = Float64(-1.0 + t_2) t_5 = Float64(t_0 * t_3) t_6 = Float64(Float64(phi1 - phi2) / 2.0) tmp = 0.0 if (phi2 <= -0.22) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_3 * Float64(0.5 * cos(phi2))) + Float64(cos(phi2) * -0.5)))), sqrt(Float64(Float64(Float64(t_0 * t_4) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_6)))))))); elseif (phi2 <= 5.5e-7) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_6) ^ 2.0) + Float64(t_5 / 2.0))), sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(phi1) + Float64(cos(phi1) * t_4))))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(0.5 + Float64(-0.5 * t_1)) + Float64(Float64(cos(phi1) * Float64(cos(phi2) / 2.0)) * t_3))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_1 - t_5)))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((phi1 - phi2)); t_2 = cos((lambda1 - lambda2)); t_3 = 1.0 - t_2; t_4 = -1.0 + t_2; t_5 = t_0 * t_3; t_6 = (phi1 - phi2) / 2.0; tmp = 0.0; if (phi2 <= -0.22) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_6))))))); elseif (phi2 <= 5.5e-7) tmp = (2.0 * R) * atan2(sqrt(((sin(t_6) ^ 2.0) + (t_5 / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_4)))))); else tmp = (2.0 * R) * atan2(sqrt(((0.5 + (-0.5 * t_1)) + ((cos(phi1) * (cos(phi2) / 2.0)) * t_3))), sqrt((0.5 + (0.5 * (t_1 - t_5))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(1.0 - t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(-1.0 + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$0 * t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[phi2, -0.22], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$3 * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$4), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$6), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 5.5e-7], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$6], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$5 / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 + N[(-0.5 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$1 - t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := 1 - t\_2\\
t_4 := -1 + t\_2\\
t_5 := t\_0 \cdot t\_3\\
t_6 := \frac{\phi_1 - \phi_2}{2}\\
\mathbf{if}\;\phi_2 \leq -0.22:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_3 \cdot \left(0.5 \cdot \cos \phi_2\right) + \cos \phi_2 \cdot -0.5\right)}}{\sqrt{\frac{t\_0 \cdot t\_4}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_6\right)\right)}}\\
\mathbf{elif}\;\phi_2 \leq 5.5 \cdot 10^{-7}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_6}^{2} + \frac{t\_5}{2}}}{\sqrt{0.5 + 0.5 \cdot \left(\cos \phi_1 + \cos \phi_1 \cdot t\_4\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + -0.5 \cdot t\_1\right) + \left(\cos \phi_1 \cdot \frac{\cos \phi_2}{2}\right) \cdot t\_3}}{\sqrt{0.5 + 0.5 \cdot \left(t\_1 - t\_5\right)}}\\
\end{array}
\end{array}
if phi2 < -0.220000000000000001Initial program 50.5%
Applied egg-rr50.6%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified52.8%
if -0.220000000000000001 < phi2 < 5.5000000000000003e-7Initial program 73.8%
Applied egg-rr62.6%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6469.8%
Applied egg-rr69.8%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6469.8%
Simplified69.8%
if 5.5000000000000003e-7 < phi2 Initial program 55.3%
Applied egg-rr55.4%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6455.3%
Applied egg-rr55.3%
Applied egg-rr55.4%
Final simplification61.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- phi1 phi2)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (- 1.0 t_2))
(t_4 (+ -1.0 t_2))
(t_5 (cos (- lambda2 lambda1)))
(t_6 (/ (- phi1 phi2) 2.0)))
(if (<= phi2 -0.22)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_3 (* 0.5 (cos phi2))) (* (cos phi2) -0.5))))
(sqrt (+ (/ (* t_0 t_4) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_6))))))))
(if (<= phi2 5.4e-8)
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_6) 2.0) (/ (* t_0 t_3) 2.0)))
(sqrt (+ 0.5 (* 0.5 (+ (cos phi1) (* (cos phi1) t_4)))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* -0.5 t_1) (* 0.5 (* t_0 (- 1.0 t_5))))))
(sqrt (+ 0.5 (* 0.5 (+ t_1 (* t_0 (+ -1.0 t_5))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((phi1 - phi2));
double t_2 = cos((lambda1 - lambda2));
double t_3 = 1.0 - t_2;
double t_4 = -1.0 + t_2;
double t_5 = cos((lambda2 - lambda1));
double t_6 = (phi1 - phi2) / 2.0;
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_6)))))));
} else if (phi2 <= 5.4e-8) {
tmp = (2.0 * R) * atan2(sqrt((pow(sin(t_6), 2.0) + ((t_0 * t_3) / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_4))))));
} else {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_1) + (0.5 * (t_0 * (1.0 - t_5)))))), sqrt((0.5 + (0.5 * (t_1 + (t_0 * (-1.0 + t_5)))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((phi1 - phi2))
t_2 = cos((lambda1 - lambda2))
t_3 = 1.0d0 - t_2
t_4 = (-1.0d0) + t_2
t_5 = cos((lambda2 - lambda1))
t_6 = (phi1 - phi2) / 2.0d0
if (phi2 <= (-0.22d0)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_3 * (0.5d0 * cos(phi2))) + (cos(phi2) * (-0.5d0))))), sqrt((((t_0 * t_4) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_6)))))))
else if (phi2 <= 5.4d-8) then
tmp = (2.0d0 * r) * atan2(sqrt(((sin(t_6) ** 2.0d0) + ((t_0 * t_3) / 2.0d0))), sqrt((0.5d0 + (0.5d0 * (cos(phi1) + (cos(phi1) * t_4))))))
else
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((-0.5d0) * t_1) + (0.5d0 * (t_0 * (1.0d0 - t_5)))))), sqrt((0.5d0 + (0.5d0 * (t_1 + (t_0 * ((-1.0d0) + t_5)))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((phi1 - phi2));
double t_2 = Math.cos((lambda1 - lambda2));
double t_3 = 1.0 - t_2;
double t_4 = -1.0 + t_2;
double t_5 = Math.cos((lambda2 - lambda1));
double t_6 = (phi1 - phi2) / 2.0;
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_3 * (0.5 * Math.cos(phi2))) + (Math.cos(phi2) * -0.5)))), Math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_6)))))));
} else if (phi2 <= 5.4e-8) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_6), 2.0) + ((t_0 * t_3) / 2.0))), Math.sqrt((0.5 + (0.5 * (Math.cos(phi1) + (Math.cos(phi1) * t_4))))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((-0.5 * t_1) + (0.5 * (t_0 * (1.0 - t_5)))))), Math.sqrt((0.5 + (0.5 * (t_1 + (t_0 * (-1.0 + t_5)))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((phi1 - phi2)) t_2 = math.cos((lambda1 - lambda2)) t_3 = 1.0 - t_2 t_4 = -1.0 + t_2 t_5 = math.cos((lambda2 - lambda1)) t_6 = (phi1 - phi2) / 2.0 tmp = 0 if phi2 <= -0.22: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_3 * (0.5 * math.cos(phi2))) + (math.cos(phi2) * -0.5)))), math.sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_6))))))) elif phi2 <= 5.4e-8: tmp = (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_6), 2.0) + ((t_0 * t_3) / 2.0))), math.sqrt((0.5 + (0.5 * (math.cos(phi1) + (math.cos(phi1) * t_4)))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((-0.5 * t_1) + (0.5 * (t_0 * (1.0 - t_5)))))), math.sqrt((0.5 + (0.5 * (t_1 + (t_0 * (-1.0 + t_5))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(phi1 - phi2)) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = Float64(1.0 - t_2) t_4 = Float64(-1.0 + t_2) t_5 = cos(Float64(lambda2 - lambda1)) t_6 = Float64(Float64(phi1 - phi2) / 2.0) tmp = 0.0 if (phi2 <= -0.22) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_3 * Float64(0.5 * cos(phi2))) + Float64(cos(phi2) * -0.5)))), sqrt(Float64(Float64(Float64(t_0 * t_4) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_6)))))))); elseif (phi2 <= 5.4e-8) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_6) ^ 2.0) + Float64(Float64(t_0 * t_3) / 2.0))), sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(phi1) + Float64(cos(phi1) * t_4))))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(-0.5 * t_1) + Float64(0.5 * Float64(t_0 * Float64(1.0 - t_5)))))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_1 + Float64(t_0 * Float64(-1.0 + t_5)))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((phi1 - phi2)); t_2 = cos((lambda1 - lambda2)); t_3 = 1.0 - t_2; t_4 = -1.0 + t_2; t_5 = cos((lambda2 - lambda1)); t_6 = (phi1 - phi2) / 2.0; tmp = 0.0; if (phi2 <= -0.22) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_3 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_4) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_6))))))); elseif (phi2 <= 5.4e-8) tmp = (2.0 * R) * atan2(sqrt(((sin(t_6) ^ 2.0) + ((t_0 * t_3) / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_4)))))); else tmp = (2.0 * R) * atan2(sqrt((0.5 + ((-0.5 * t_1) + (0.5 * (t_0 * (1.0 - t_5)))))), sqrt((0.5 + (0.5 * (t_1 + (t_0 * (-1.0 + t_5))))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(1.0 - t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(-1.0 + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[phi2, -0.22], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$3 * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$4), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$6), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 5.4e-8], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$6], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$3), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(-0.5 * t$95$1), $MachinePrecision] + N[(0.5 * N[(t$95$0 * N[(1.0 - t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$1 + N[(t$95$0 * N[(-1.0 + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := 1 - t\_2\\
t_4 := -1 + t\_2\\
t_5 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_6 := \frac{\phi_1 - \phi_2}{2}\\
\mathbf{if}\;\phi_2 \leq -0.22:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_3 \cdot \left(0.5 \cdot \cos \phi_2\right) + \cos \phi_2 \cdot -0.5\right)}}{\sqrt{\frac{t\_0 \cdot t\_4}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_6\right)\right)}}\\
\mathbf{elif}\;\phi_2 \leq 5.4 \cdot 10^{-8}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_6}^{2} + \frac{t\_0 \cdot t\_3}{2}}}{\sqrt{0.5 + 0.5 \cdot \left(\cos \phi_1 + \cos \phi_1 \cdot t\_4\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(-0.5 \cdot t\_1 + 0.5 \cdot \left(t\_0 \cdot \left(1 - t\_5\right)\right)\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_1 + t\_0 \cdot \left(-1 + t\_5\right)\right)}}\\
\end{array}
\end{array}
if phi2 < -0.220000000000000001Initial program 50.5%
Applied egg-rr50.6%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified52.8%
if -0.220000000000000001 < phi2 < 5.40000000000000005e-8Initial program 73.8%
Applied egg-rr62.6%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6469.8%
Applied egg-rr69.8%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6469.8%
Simplified69.8%
if 5.40000000000000005e-8 < phi2 Initial program 55.3%
Applied egg-rr55.4%
Taylor expanded in lambda1 around -inf
Simplified55.4%
Final simplification61.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 1.0 t_0))
(t_2 (+ -1.0 t_0))
(t_3 (/ (- phi1 phi2) 2.0))
(t_4 (* (cos phi1) (cos phi2)))
(t_5 (sqrt (+ (pow (sin t_3) 2.0) (/ (* t_4 t_1) 2.0)))))
(if (<= phi2 -0.22)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_1 (* 0.5 (cos phi2))) (* (cos phi2) -0.5))))
(sqrt (+ (/ (* t_4 t_2) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_3))))))))
(if (<= phi2 2.4e-6)
(*
(* 2.0 R)
(atan2 t_5 (sqrt (+ 0.5 (* 0.5 (+ (cos phi1) (* (cos phi1) t_2)))))))
(*
(* 2.0 R)
(atan2
t_5
(sqrt (+ 0.5 (* 0.5 (+ (cos phi2) (* (cos phi2) t_2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 1.0 - t_0;
double t_2 = -1.0 + t_0;
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = cos(phi1) * cos(phi2);
double t_5 = sqrt((pow(sin(t_3), 2.0) + ((t_4 * t_1) / 2.0)));
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_4 * t_2) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3)))))));
} else if (phi2 <= 2.4e-6) {
tmp = (2.0 * R) * atan2(t_5, sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_2))))));
} else {
tmp = (2.0 * R) * atan2(t_5, sqrt((0.5 + (0.5 * (cos(phi2) + (cos(phi2) * t_2))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = 1.0d0 - t_0
t_2 = (-1.0d0) + t_0
t_3 = (phi1 - phi2) / 2.0d0
t_4 = cos(phi1) * cos(phi2)
t_5 = sqrt(((sin(t_3) ** 2.0d0) + ((t_4 * t_1) / 2.0d0)))
if (phi2 <= (-0.22d0)) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_1 * (0.5d0 * cos(phi2))) + (cos(phi2) * (-0.5d0))))), sqrt((((t_4 * t_2) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_3)))))))
else if (phi2 <= 2.4d-6) then
tmp = (2.0d0 * r) * atan2(t_5, sqrt((0.5d0 + (0.5d0 * (cos(phi1) + (cos(phi1) * t_2))))))
else
tmp = (2.0d0 * r) * atan2(t_5, sqrt((0.5d0 + (0.5d0 * (cos(phi2) + (cos(phi2) * t_2))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = 1.0 - t_0;
double t_2 = -1.0 + t_0;
double t_3 = (phi1 - phi2) / 2.0;
double t_4 = Math.cos(phi1) * Math.cos(phi2);
double t_5 = Math.sqrt((Math.pow(Math.sin(t_3), 2.0) + ((t_4 * t_1) / 2.0)));
double tmp;
if (phi2 <= -0.22) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_1 * (0.5 * Math.cos(phi2))) + (Math.cos(phi2) * -0.5)))), Math.sqrt((((t_4 * t_2) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_3)))))));
} else if (phi2 <= 2.4e-6) {
tmp = (2.0 * R) * Math.atan2(t_5, Math.sqrt((0.5 + (0.5 * (Math.cos(phi1) + (Math.cos(phi1) * t_2))))));
} else {
tmp = (2.0 * R) * Math.atan2(t_5, Math.sqrt((0.5 + (0.5 * (Math.cos(phi2) + (Math.cos(phi2) * t_2))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 1.0 - t_0 t_2 = -1.0 + t_0 t_3 = (phi1 - phi2) / 2.0 t_4 = math.cos(phi1) * math.cos(phi2) t_5 = math.sqrt((math.pow(math.sin(t_3), 2.0) + ((t_4 * t_1) / 2.0))) tmp = 0 if phi2 <= -0.22: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_1 * (0.5 * math.cos(phi2))) + (math.cos(phi2) * -0.5)))), math.sqrt((((t_4 * t_2) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_3))))))) elif phi2 <= 2.4e-6: tmp = (2.0 * R) * math.atan2(t_5, math.sqrt((0.5 + (0.5 * (math.cos(phi1) + (math.cos(phi1) * t_2)))))) else: tmp = (2.0 * R) * math.atan2(t_5, math.sqrt((0.5 + (0.5 * (math.cos(phi2) + (math.cos(phi2) * t_2)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(1.0 - t_0) t_2 = Float64(-1.0 + t_0) t_3 = Float64(Float64(phi1 - phi2) / 2.0) t_4 = Float64(cos(phi1) * cos(phi2)) t_5 = sqrt(Float64((sin(t_3) ^ 2.0) + Float64(Float64(t_4 * t_1) / 2.0))) tmp = 0.0 if (phi2 <= -0.22) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_1 * Float64(0.5 * cos(phi2))) + Float64(cos(phi2) * -0.5)))), sqrt(Float64(Float64(Float64(t_4 * t_2) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_3)))))))); elseif (phi2 <= 2.4e-6) tmp = Float64(Float64(2.0 * R) * atan(t_5, sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(phi1) + Float64(cos(phi1) * t_2))))))); else tmp = Float64(Float64(2.0 * R) * atan(t_5, sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(phi2) + Float64(cos(phi2) * t_2))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = 1.0 - t_0; t_2 = -1.0 + t_0; t_3 = (phi1 - phi2) / 2.0; t_4 = cos(phi1) * cos(phi2); t_5 = sqrt(((sin(t_3) ^ 2.0) + ((t_4 * t_1) / 2.0))); tmp = 0.0; if (phi2 <= -0.22) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_4 * t_2) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_3))))))); elseif (phi2 <= 2.4e-6) tmp = (2.0 * R) * atan2(t_5, sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_2)))))); else tmp = (2.0 * R) * atan2(t_5, sqrt((0.5 + (0.5 * (cos(phi2) + (cos(phi2) * t_2)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(-1.0 + t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$4 * t$95$1), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -0.22], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$1 * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$4 * t$95$2), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 2.4e-6], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$5 / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[t$95$5 / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[phi2], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 1 - t\_0\\
t_2 := -1 + t\_0\\
t_3 := \frac{\phi_1 - \phi_2}{2}\\
t_4 := \cos \phi_1 \cdot \cos \phi_2\\
t_5 := \sqrt{{\sin t\_3}^{2} + \frac{t\_4 \cdot t\_1}{2}}\\
\mathbf{if}\;\phi_2 \leq -0.22:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_1 \cdot \left(0.5 \cdot \cos \phi_2\right) + \cos \phi_2 \cdot -0.5\right)}}{\sqrt{\frac{t\_4 \cdot t\_2}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right)}}\\
\mathbf{elif}\;\phi_2 \leq 2.4 \cdot 10^{-6}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{0.5 + 0.5 \cdot \left(\cos \phi_1 + \cos \phi_1 \cdot t\_2\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{0.5 + 0.5 \cdot \left(\cos \phi_2 + \cos \phi_2 \cdot t\_2\right)}}\\
\end{array}
\end{array}
if phi2 < -0.220000000000000001Initial program 50.5%
Applied egg-rr50.6%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified52.8%
if -0.220000000000000001 < phi2 < 2.3999999999999999e-6Initial program 73.4%
Applied egg-rr62.3%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6469.4%
Applied egg-rr69.4%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6469.4%
Simplified69.4%
if 2.3999999999999999e-6 < phi2 Initial program 55.8%
Applied egg-rr56.0%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6455.8%
Applied egg-rr55.8%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
cos-negN/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6455.3%
Simplified55.3%
Final simplification61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (- 1.0 t_1))
(t_3 (+ -1.0 t_1))
(t_4 (/ (- phi1 phi2) 2.0))
(t_5
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_2 (* 0.5 (cos phi2))) (* (cos phi2) -0.5))))
(sqrt (+ (/ (* t_0 t_3) 2.0) (+ 0.5 (* 0.5 (cos (* 2.0 t_4))))))))))
(if (<= phi2 -0.22)
t_5
(if (<= phi2 4.5e-6)
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_4) 2.0) (/ (* t_0 t_2) 2.0)))
(sqrt (+ 0.5 (* 0.5 (+ (cos phi1) (* (cos phi1) t_3)))))))
t_5))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = 1.0 - t_1;
double t_3 = -1.0 + t_1;
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_4)))))));
double tmp;
if (phi2 <= -0.22) {
tmp = t_5;
} else if (phi2 <= 4.5e-6) {
tmp = (2.0 * R) * atan2(sqrt((pow(sin(t_4), 2.0) + ((t_0 * t_2) / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_3))))));
} else {
tmp = t_5;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = 1.0d0 - t_1
t_3 = (-1.0d0) + t_1
t_4 = (phi1 - phi2) / 2.0d0
t_5 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_2 * (0.5d0 * cos(phi2))) + (cos(phi2) * (-0.5d0))))), sqrt((((t_0 * t_3) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * t_4)))))))
if (phi2 <= (-0.22d0)) then
tmp = t_5
else if (phi2 <= 4.5d-6) then
tmp = (2.0d0 * r) * atan2(sqrt(((sin(t_4) ** 2.0d0) + ((t_0 * t_2) / 2.0d0))), sqrt((0.5d0 + (0.5d0 * (cos(phi1) + (cos(phi1) * t_3))))))
else
tmp = t_5
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = 1.0 - t_1;
double t_3 = -1.0 + t_1;
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_2 * (0.5 * Math.cos(phi2))) + (Math.cos(phi2) * -0.5)))), Math.sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * t_4)))))));
double tmp;
if (phi2 <= -0.22) {
tmp = t_5;
} else if (phi2 <= 4.5e-6) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_4), 2.0) + ((t_0 * t_2) / 2.0))), Math.sqrt((0.5 + (0.5 * (Math.cos(phi1) + (Math.cos(phi1) * t_3))))));
} else {
tmp = t_5;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = 1.0 - t_1 t_3 = -1.0 + t_1 t_4 = (phi1 - phi2) / 2.0 t_5 = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_2 * (0.5 * math.cos(phi2))) + (math.cos(phi2) * -0.5)))), math.sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * t_4))))))) tmp = 0 if phi2 <= -0.22: tmp = t_5 elif phi2 <= 4.5e-6: tmp = (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_4), 2.0) + ((t_0 * t_2) / 2.0))), math.sqrt((0.5 + (0.5 * (math.cos(phi1) + (math.cos(phi1) * t_3)))))) else: tmp = t_5 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(1.0 - t_1) t_3 = Float64(-1.0 + t_1) t_4 = Float64(Float64(phi1 - phi2) / 2.0) t_5 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_2 * Float64(0.5 * cos(phi2))) + Float64(cos(phi2) * -0.5)))), sqrt(Float64(Float64(Float64(t_0 * t_3) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_4)))))))) tmp = 0.0 if (phi2 <= -0.22) tmp = t_5; elseif (phi2 <= 4.5e-6) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_4) ^ 2.0) + Float64(Float64(t_0 * t_2) / 2.0))), sqrt(Float64(0.5 + Float64(0.5 * Float64(cos(phi1) + Float64(cos(phi1) * t_3))))))); else tmp = t_5; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = 1.0 - t_1; t_3 = -1.0 + t_1; t_4 = (phi1 - phi2) / 2.0; t_5 = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), sqrt((((t_0 * t_3) / 2.0) + (0.5 + (0.5 * cos((2.0 * t_4))))))); tmp = 0.0; if (phi2 <= -0.22) tmp = t_5; elseif (phi2 <= 4.5e-6) tmp = (2.0 * R) * atan2(sqrt(((sin(t_4) ^ 2.0) + ((t_0 * t_2) / 2.0))), sqrt((0.5 + (0.5 * (cos(phi1) + (cos(phi1) * t_3)))))); else tmp = t_5; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(-1.0 + t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$5 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$2 * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 * t$95$3), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.22], t$95$5, If[LessEqual[phi2, 4.5e-6], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 1 - t\_1\\
t_3 := -1 + t\_1\\
t_4 := \frac{\phi_1 - \phi_2}{2}\\
t_5 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 \cdot \left(0.5 \cdot \cos \phi_2\right) + \cos \phi_2 \cdot -0.5\right)}}{\sqrt{\frac{t\_0 \cdot t\_3}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_4\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -0.22:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\phi_2 \leq 4.5 \cdot 10^{-6}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_4}^{2} + \frac{t\_0 \cdot t\_2}{2}}}{\sqrt{0.5 + 0.5 \cdot \left(\cos \phi_1 + \cos \phi_1 \cdot t\_3\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if phi2 < -0.220000000000000001 or 4.50000000000000011e-6 < phi2 Initial program 53.1%
Applied egg-rr53.3%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified54.0%
if -0.220000000000000001 < phi2 < 4.50000000000000011e-6Initial program 73.4%
Applied egg-rr62.3%
sqr-sin-aN/A
unpow2N/A
div-subN/A
sin-diffN/A
pow-lowering-pow.f64N/A
sin-diffN/A
div-subN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6469.4%
Applied egg-rr69.4%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6469.4%
Simplified69.4%
Final simplification61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 1.0 t_0))
(t_2
(sqrt
(+
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0)
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0))))))))
(t_3
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_1 (* 0.5 (cos phi2))) (* (cos phi2) -0.5))))
t_2))))
(if (<= phi2 -0.22)
t_3
(if (<= phi2 2.5e-6)
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* t_1 (* 0.5 (cos phi1))) (* (cos phi1) -0.5))))
t_2))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 1.0 - t_0;
double t_2 = sqrt(((((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)))))));
double t_3 = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), t_2);
double tmp;
if (phi2 <= -0.22) {
tmp = t_3;
} else if (phi2 <= 2.5e-6) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (0.5 * cos(phi1))) + (cos(phi1) * -0.5)))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = 1.0d0 - t_0
t_2 = sqrt(((((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))))))
t_3 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_1 * (0.5d0 * cos(phi2))) + (cos(phi2) * (-0.5d0))))), t_2)
if (phi2 <= (-0.22d0)) then
tmp = t_3
else if (phi2 <= 2.5d-6) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_1 * (0.5d0 * cos(phi1))) + (cos(phi1) * (-0.5d0))))), t_2)
else
tmp = t_3
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = 1.0 - t_0;
double t_2 = Math.sqrt(((((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)))))));
double t_3 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_1 * (0.5 * Math.cos(phi2))) + (Math.cos(phi2) * -0.5)))), t_2);
double tmp;
if (phi2 <= -0.22) {
tmp = t_3;
} else if (phi2 <= 2.5e-6) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_1 * (0.5 * Math.cos(phi1))) + (Math.cos(phi1) * -0.5)))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 1.0 - t_0 t_2 = math.sqrt(((((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))) t_3 = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_1 * (0.5 * math.cos(phi2))) + (math.cos(phi2) * -0.5)))), t_2) tmp = 0 if phi2 <= -0.22: tmp = t_3 elif phi2 <= 2.5e-6: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_1 * (0.5 * math.cos(phi1))) + (math.cos(phi1) * -0.5)))), t_2) else: tmp = t_3 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(1.0 - t_0) t_2 = sqrt(Float64(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))) t_3 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_1 * Float64(0.5 * cos(phi2))) + Float64(cos(phi2) * -0.5)))), t_2)) tmp = 0.0 if (phi2 <= -0.22) tmp = t_3; elseif (phi2 <= 2.5e-6) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_1 * Float64(0.5 * cos(phi1))) + Float64(cos(phi1) * -0.5)))), t_2)); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = 1.0 - t_0; t_2 = sqrt(((((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))); t_3 = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (0.5 * cos(phi2))) + (cos(phi2) * -0.5)))), t_2); tmp = 0.0; if (phi2 <= -0.22) tmp = t_3; elseif (phi2 <= 2.5e-6) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_1 * (0.5 * cos(phi1))) + (cos(phi1) * -0.5)))), t_2); else tmp = t_3; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$1 * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.22], t$95$3, If[LessEqual[phi2, 2.5e-6], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$1 * N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 1 - t\_0\\
t_2 := \sqrt{\frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}\\
t_3 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_1 \cdot \left(0.5 \cdot \cos \phi_2\right) + \cos \phi_2 \cdot -0.5\right)}}{t\_2}\\
\mathbf{if}\;\phi_2 \leq -0.22:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 2.5 \cdot 10^{-6}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_1 \cdot \left(0.5 \cdot \cos \phi_1\right) + \cos \phi_1 \cdot -0.5\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -0.220000000000000001 or 2.5000000000000002e-6 < phi2 Initial program 53.1%
Applied egg-rr53.3%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified54.0%
if -0.220000000000000001 < phi2 < 2.5000000000000002e-6Initial program 73.4%
Applied egg-rr62.3%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6462.3%
Simplified62.3%
Final simplification58.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (+ (* (- 1.0 t_0) (* 0.5 (cos phi1))) (* (cos phi1) -0.5))))
(sqrt
(+
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0)
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
return (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * (0.5 * cos(phi1))) + (cos(phi1) * -0.5)))), sqrt(((((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = cos((lambda1 - lambda2))
code = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((1.0d0 - t_0) * (0.5d0 * cos(phi1))) + (cos(phi1) * (-0.5d0))))), sqrt(((((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0) + (0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (((1.0 - t_0) * (0.5 * Math.cos(phi1))) + (Math.cos(phi1) * -0.5)))), Math.sqrt(((((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) return (2.0 * R) * math.atan2(math.sqrt((0.5 + (((1.0 - t_0) * (0.5 * math.cos(phi1))) + (math.cos(phi1) * -0.5)))), math.sqrt(((((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(Float64(1.0 - t_0) * Float64(0.5 * cos(phi1))) + Float64(cos(phi1) * -0.5)))), sqrt(Float64(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0) + Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); tmp = (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * (0.5 * cos(phi1))) + (cos(phi1) * -0.5)))), sqrt(((((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0) + (0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[(1.0 - t$95$0), $MachinePrecision] * N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\left(1 - t\_0\right) \cdot \left(0.5 \cdot \cos \phi_1\right) + \cos \phi_1 \cdot -0.5\right)}}{\sqrt{\frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2} + \left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right)}}
\end{array}
\end{array}
Initial program 62.9%
Applied egg-rr57.6%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6439.8%
Simplified39.8%
Final simplification39.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
2.0
(*
R
(atan2
(sin (/ (- lambda1 lambda2) 2.0))
(sqrt
(+
1.0
(-
(/
(*
(* (cos phi1) (cos phi2))
(+
(+ (* (cos lambda1) (cos lambda2)) (* (sin lambda1) (sin lambda2)))
-1.0))
2.0)
(+ 0.5 (* -0.5 (cos (- phi1 phi2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((1.0 + ((((cos(phi1) * cos(phi2)) * (((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2))) + -1.0)) / 2.0) - (0.5 + (-0.5 * cos((phi1 - phi2)))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = 2.0d0 * (r * atan2(sin(((lambda1 - lambda2) / 2.0d0)), sqrt((1.0d0 + ((((cos(phi1) * cos(phi2)) * (((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2))) + (-1.0d0))) / 2.0d0) - (0.5d0 + ((-0.5d0) * cos((phi1 - phi2)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * Math.atan2(Math.sin(((lambda1 - lambda2) / 2.0)), Math.sqrt((1.0 + ((((Math.cos(phi1) * Math.cos(phi2)) * (((Math.cos(lambda1) * Math.cos(lambda2)) + (Math.sin(lambda1) * Math.sin(lambda2))) + -1.0)) / 2.0) - (0.5 + (-0.5 * Math.cos((phi1 - phi2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return 2.0 * (R * math.atan2(math.sin(((lambda1 - lambda2) / 2.0)), math.sqrt((1.0 + ((((math.cos(phi1) * math.cos(phi2)) * (((math.cos(lambda1) * math.cos(lambda2)) + (math.sin(lambda1) * math.sin(lambda2))) + -1.0)) / 2.0) - (0.5 + (-0.5 * math.cos((phi1 - phi2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(2.0 * Float64(R * atan(sin(Float64(Float64(lambda1 - lambda2) / 2.0)), sqrt(Float64(1.0 + Float64(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(Float64(Float64(cos(lambda1) * cos(lambda2)) + Float64(sin(lambda1) * sin(lambda2))) + -1.0)) / 2.0) - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((1.0 + ((((cos(phi1) * cos(phi2)) * (((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2))) + -1.0)) / 2.0) - (0.5 + (-0.5 * cos((phi1 - phi2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}{\sqrt{1 + \left(\frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(\left(\cos \lambda_1 \cdot \cos \lambda_2 + \sin \lambda_1 \cdot \sin \lambda_2\right) + -1\right)}{2} - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)\right)}}\right)
\end{array}
Initial program 62.9%
Simplified62.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified45.7%
Taylor expanded in phi2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.5%
Simplified15.5%
Applied egg-rr15.5%
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6415.8%
Applied egg-rr15.8%
Final simplification15.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sin (* 0.5 (- lambda1 lambda2)))
(sqrt
(-
0.5
(+
(* -0.5 (cos (- phi1 phi2)))
(*
0.5
(* (* (cos phi1) (cos phi2)) (- 1.0 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sin((0.5 * (lambda1 - lambda2))), sqrt((0.5 - ((-0.5 * cos((phi1 - phi2))) + (0.5 * ((cos(phi1) * cos(phi2)) * (1.0 - cos((lambda1 - lambda2)))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sin((0.5d0 * (lambda1 - lambda2))), sqrt((0.5d0 - (((-0.5d0) * cos((phi1 - phi2))) + (0.5d0 * ((cos(phi1) * cos(phi2)) * (1.0d0 - cos((lambda1 - lambda2)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sin((0.5 * (lambda1 - lambda2))), Math.sqrt((0.5 - ((-0.5 * Math.cos((phi1 - phi2))) + (0.5 * ((Math.cos(phi1) * Math.cos(phi2)) * (1.0 - Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sin((0.5 * (lambda1 - lambda2))), math.sqrt((0.5 - ((-0.5 * math.cos((phi1 - phi2))) + (0.5 * ((math.cos(phi1) * math.cos(phi2)) * (1.0 - math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sin(Float64(0.5 * Float64(lambda1 - lambda2))), sqrt(Float64(0.5 - Float64(Float64(-0.5 * cos(Float64(phi1 - phi2))) + Float64(0.5 * Float64(Float64(cos(phi1) * cos(phi2)) * Float64(1.0 - cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sin((0.5 * (lambda1 - lambda2))), sqrt((0.5 - ((-0.5 * cos((phi1 - phi2))) + (0.5 * ((cos(phi1) * cos(phi2)) * (1.0 - cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}{\sqrt{0.5 - \left(-0.5 \cdot \cos \left(\phi_1 - \phi_2\right) + 0.5 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(1 - \cos \left(\lambda_1 - \lambda_2\right)\right)\right)\right)}}
\end{array}
Initial program 62.9%
Simplified62.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified45.7%
Taylor expanded in phi2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.5%
Simplified15.5%
Applied egg-rr15.5%
Taylor expanded in R around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
atan2-lowering-atan2.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
Simplified15.5%
Final simplification15.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
2.0
(*
R
(atan2
(sin (/ (- lambda1 lambda2) 2.0))
(sqrt
(+
0.5
(-
(* (+ -1.0 (cos (- lambda1 lambda2))) (* 0.5 (cos phi2)))
(* (cos phi2) -0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (((-1.0 + cos((lambda1 - lambda2))) * (0.5 * cos(phi2))) - (cos(phi2) * -0.5))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = 2.0d0 * (r * atan2(sin(((lambda1 - lambda2) / 2.0d0)), sqrt((0.5d0 + ((((-1.0d0) + cos((lambda1 - lambda2))) * (0.5d0 * cos(phi2))) - (cos(phi2) * (-0.5d0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * Math.atan2(Math.sin(((lambda1 - lambda2) / 2.0)), Math.sqrt((0.5 + (((-1.0 + Math.cos((lambda1 - lambda2))) * (0.5 * Math.cos(phi2))) - (Math.cos(phi2) * -0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return 2.0 * (R * math.atan2(math.sin(((lambda1 - lambda2) / 2.0)), math.sqrt((0.5 + (((-1.0 + math.cos((lambda1 - lambda2))) * (0.5 * math.cos(phi2))) - (math.cos(phi2) * -0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(2.0 * Float64(R * atan(sin(Float64(Float64(lambda1 - lambda2) / 2.0)), sqrt(Float64(0.5 + Float64(Float64(Float64(-1.0 + cos(Float64(lambda1 - lambda2))) * Float64(0.5 * cos(phi2))) - Float64(cos(phi2) * -0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (((-1.0 + cos((lambda1 - lambda2))) * (0.5 * cos(phi2))) - (cos(phi2) * -0.5)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}{\sqrt{0.5 + \left(\left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right) \cdot \left(0.5 \cdot \cos \phi_2\right) - \cos \phi_2 \cdot -0.5\right)}}\right)
\end{array}
Initial program 62.9%
Simplified62.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified45.7%
Taylor expanded in phi2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.5%
Simplified15.5%
Applied egg-rr15.5%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified15.5%
Final simplification15.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
2.0
(*
R
(atan2
(sin (/ (- lambda1 lambda2) 2.0))
(sqrt
(+
0.5
(-
(* (+ -1.0 (cos (- lambda1 lambda2))) (* 0.5 (cos phi1)))
(* (cos phi1) -0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (((-1.0 + cos((lambda1 - lambda2))) * (0.5 * cos(phi1))) - (cos(phi1) * -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 = 2.0d0 * (r * atan2(sin(((lambda1 - lambda2) / 2.0d0)), sqrt((0.5d0 + ((((-1.0d0) + cos((lambda1 - lambda2))) * (0.5d0 * cos(phi1))) - (cos(phi1) * (-0.5d0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * Math.atan2(Math.sin(((lambda1 - lambda2) / 2.0)), Math.sqrt((0.5 + (((-1.0 + Math.cos((lambda1 - lambda2))) * (0.5 * Math.cos(phi1))) - (Math.cos(phi1) * -0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return 2.0 * (R * math.atan2(math.sin(((lambda1 - lambda2) / 2.0)), math.sqrt((0.5 + (((-1.0 + math.cos((lambda1 - lambda2))) * (0.5 * math.cos(phi1))) - (math.cos(phi1) * -0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(2.0 * Float64(R * atan(sin(Float64(Float64(lambda1 - lambda2) / 2.0)), sqrt(Float64(0.5 + Float64(Float64(Float64(-1.0 + cos(Float64(lambda1 - lambda2))) * Float64(0.5 * cos(phi1))) - Float64(cos(phi1) * -0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (((-1.0 + cos((lambda1 - lambda2))) * (0.5 * cos(phi1))) - (cos(phi1) * -0.5)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[(N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}{\sqrt{0.5 + \left(\left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right) \cdot \left(0.5 \cdot \cos \phi_1\right) - \cos \phi_1 \cdot -0.5\right)}}\right)
\end{array}
Initial program 62.9%
Simplified62.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified45.7%
Taylor expanded in phi2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.5%
Simplified15.5%
Applied egg-rr15.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6415.4%
Simplified15.4%
Final simplification15.4%
herbie shell --seed 2024147
(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))))))))))