
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 20 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* 0.5 phi2))
(* (cos (* phi1 0.5)) (- (sin (* 0.5 phi2)))))
2.0)
(* t_0 (* t_1 t_1))))
(sqrt
(+
(-
1.0
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(* t_0 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 * 0.5)), cos((0.5 * phi2)), (cos((phi1 * 0.5)) * -sin((0.5 * phi2)))), 2.0) + (t_0 * (t_1 * t_1)))), sqrt(((1.0 - pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0)) + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(0.5 * phi2)), Float64(cos(Float64(phi1 * 0.5)) * Float64(-sin(Float64(0.5 * phi2))))) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_1)))), sqrt(Float64(Float64(1.0 - (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0)) + Float64(t_0 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * (-N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(0.5 \cdot \phi_2\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \left(-\sin \left(0.5 \cdot \phi_2\right)\right)\right)\right)}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_1\right)}}{\sqrt{\left(1 - {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\right) + t\_0 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 63.7%
associate-*l*63.7%
Simplified63.7%
div-sub63.7%
sin-diff64.9%
Applied egg-rr64.9%
div-sub63.7%
sin-diff64.9%
Applied egg-rr82.8%
sin-mult82.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
cos-sum82.7%
cos-282.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
Applied egg-rr82.8%
div-sub82.8%
+-inverses82.8%
cos-082.8%
metadata-eval82.8%
associate-*r*82.8%
metadata-eval82.8%
*-lft-identity82.8%
Simplified82.8%
cancel-sign-sub-inv82.8%
fma-define82.8%
div-inv82.8%
metadata-eval82.8%
div-inv82.8%
metadata-eval82.8%
div-inv82.8%
metadata-eval82.8%
div-inv82.8%
metadata-eval82.8%
Applied egg-rr82.8%
Final simplification82.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_1 (* t_2 t_2))))
(if (<= (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_2 (* t_1 t_2))) 0.004)
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (pow (+ t_0 (* (cos (* phi1 0.5)) (* phi2 -0.5))) 2.0)))
(sqrt
(-
1.0
(+
(pow t_0 2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (- 0.5 (/ (cos (- phi1 phi2)) 2.0))))
(sqrt
(+
(-
1.0
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(* t_1 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_1 * (t_2 * t_2);
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_2 * (t_1 * t_2))) <= 0.004) {
tmp = R * (2.0 * atan2(sqrt((t_3 + pow((t_0 + (cos((phi1 * 0.5)) * (phi2 * -0.5))), 2.0))), sqrt((1.0 - (pow(t_0, 2.0) + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_3 + (0.5 - (cos((phi1 - phi2)) / 2.0)))), sqrt(((1.0 - pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0)) + (t_1 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = sin((phi1 * 0.5d0))
t_1 = cos(phi1) * cos(phi2)
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = t_1 * (t_2 * t_2)
if (((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (t_2 * (t_1 * t_2))) <= 0.004d0) then
tmp = r * (2.0d0 * atan2(sqrt((t_3 + ((t_0 + (cos((phi1 * 0.5d0)) * (phi2 * (-0.5d0)))) ** 2.0d0))), sqrt((1.0d0 - ((t_0 ** 2.0d0) + (cos(phi1) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)))))))
else
tmp = r * (2.0d0 * atan2(sqrt((t_3 + (0.5d0 - (cos((phi1 - phi2)) / 2.0d0)))), sqrt(((1.0d0 - (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0)) + (t_1 * ((cos((lambda1 - lambda2)) / 2.0d0) - 0.5d0))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((phi1 * 0.5));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_1 * (t_2 * t_2);
double tmp;
if ((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_2 * (t_1 * t_2))) <= 0.004) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_3 + Math.pow((t_0 + (Math.cos((phi1 * 0.5)) * (phi2 * -0.5))), 2.0))), Math.sqrt((1.0 - (Math.pow(t_0, 2.0) + (Math.cos(phi1) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_3 + (0.5 - (Math.cos((phi1 - phi2)) / 2.0)))), Math.sqrt(((1.0 - Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0)) + (t_1 * ((Math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((phi1 * 0.5)) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = t_1 * (t_2 * t_2) tmp = 0 if (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_2 * (t_1 * t_2))) <= 0.004: tmp = R * (2.0 * math.atan2(math.sqrt((t_3 + math.pow((t_0 + (math.cos((phi1 * 0.5)) * (phi2 * -0.5))), 2.0))), math.sqrt((1.0 - (math.pow(t_0, 2.0) + (math.cos(phi1) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0))))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_3 + (0.5 - (math.cos((phi1 - phi2)) / 2.0)))), math.sqrt(((1.0 - math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0)) + (t_1 * ((math.cos((lambda1 - lambda2)) / 2.0) - 0.5)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_1 * Float64(t_2 * t_2)) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_2 * Float64(t_1 * t_2))) <= 0.004) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + (Float64(t_0 + Float64(cos(Float64(phi1 * 0.5)) * Float64(phi2 * -0.5))) ^ 2.0))), sqrt(Float64(1.0 - Float64((t_0 ^ 2.0) + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64(0.5 - Float64(cos(Float64(phi1 - phi2)) / 2.0)))), sqrt(Float64(Float64(1.0 - (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0)) + Float64(t_1 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((phi1 * 0.5)); t_1 = cos(phi1) * cos(phi2); t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = t_1 * (t_2 * t_2); tmp = 0.0; if (((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (t_2 * (t_1 * t_2))) <= 0.004) tmp = R * (2.0 * atan2(sqrt((t_3 + ((t_0 + (cos((phi1 * 0.5)) * (phi2 * -0.5))) ^ 2.0))), sqrt((1.0 - ((t_0 ^ 2.0) + (cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0))))))); else tmp = R * (2.0 * atan2(sqrt((t_3 + (0.5 - (cos((phi1 - phi2)) / 2.0)))), sqrt(((1.0 - (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0)) + (t_1 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$2 * N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 0.004], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[Power[N[(t$95$0 + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[(phi2 * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[t$95$0, 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(0.5 - N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_1 \cdot \left(t\_2 \cdot t\_2\right)\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_2 \cdot \left(t\_1 \cdot t\_2\right) \leq 0.004:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + {\left(t\_0 + \cos \left(\phi_1 \cdot 0.5\right) \cdot \left(\phi_2 \cdot -0.5\right)\right)}^{2}}}{\sqrt{1 - \left({t\_0}^{2} + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + \left(0.5 - \frac{\cos \left(\phi_1 - \phi_2\right)}{2}\right)}}{\sqrt{\left(1 - {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\right) + t\_1 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0040000000000000001Initial program 55.3%
associate-*l*55.3%
Simplified55.3%
Taylor expanded in phi2 around 0 55.3%
Taylor expanded in phi2 around 0 62.7%
*-commutative62.7%
associate-*r*62.7%
*-commutative62.7%
Simplified62.7%
if 0.0040000000000000001 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 64.5%
associate-*l*64.5%
Simplified64.6%
div-sub64.6%
sin-diff65.9%
Applied egg-rr65.9%
div-sub64.6%
sin-diff65.9%
Applied egg-rr81.7%
sin-mult81.7%
div-inv81.7%
metadata-eval81.7%
*-commutative81.7%
div-inv81.7%
metadata-eval81.7%
*-commutative81.7%
cos-sum81.7%
cos-281.7%
div-inv81.7%
metadata-eval81.7%
*-commutative81.7%
Applied egg-rr81.7%
div-sub81.7%
+-inverses81.7%
cos-081.7%
metadata-eval81.7%
associate-*r*81.7%
metadata-eval81.7%
*-lft-identity81.7%
Simplified81.7%
sin-diff65.0%
div-sub65.0%
unpow265.0%
sin-mult65.1%
Applied egg-rr65.9%
div-sub65.1%
+-inverses65.1%
+-inverses65.1%
+-inverses65.1%
cos-065.1%
metadata-eval65.1%
distribute-rgt-out65.1%
metadata-eval65.1%
*-rgt-identity65.1%
Simplified65.9%
Final simplification65.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (- 1.0 t_1)))
(if (or (<= lambda1 -2.9e-10) (not (<= lambda1 2.1e-11)))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_0 (* t_2 t_2)) t_1))
(sqrt (+ t_3 (* t_0 (- (/ (cos lambda1) 2.0) 0.5)))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (* t_0 (* t_2 (sin (* lambda2 -0.5))))))
(sqrt (+ t_3 (* t_0 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 1.0 - t_1;
double tmp;
if ((lambda1 <= -2.9e-10) || !(lambda1 <= 2.1e-11)) {
tmp = R * (2.0 * atan2(sqrt(((t_0 * (t_2 * t_2)) + t_1)), sqrt((t_3 + (t_0 * ((cos(lambda1) / 2.0) - 0.5))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((lambda2 * -0.5)))))), sqrt((t_3 + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = 1.0d0 - t_1
if ((lambda1 <= (-2.9d-10)) .or. (.not. (lambda1 <= 2.1d-11))) then
tmp = r * (2.0d0 * atan2(sqrt(((t_0 * (t_2 * t_2)) + t_1)), sqrt((t_3 + (t_0 * ((cos(lambda1) / 2.0d0) - 0.5d0))))))
else
tmp = r * (2.0d0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((lambda2 * (-0.5d0))))))), sqrt((t_3 + (t_0 * ((cos((lambda1 - lambda2)) / 2.0d0) - 0.5d0))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0);
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = 1.0 - t_1;
double tmp;
if ((lambda1 <= -2.9e-10) || !(lambda1 <= 2.1e-11)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_0 * (t_2 * t_2)) + t_1)), Math.sqrt((t_3 + (t_0 * ((Math.cos(lambda1) / 2.0) - 0.5))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_1 + (t_0 * (t_2 * Math.sin((lambda2 * -0.5)))))), Math.sqrt((t_3 + (t_0 * ((Math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = 1.0 - t_1 tmp = 0 if (lambda1 <= -2.9e-10) or not (lambda1 <= 2.1e-11): tmp = R * (2.0 * math.atan2(math.sqrt(((t_0 * (t_2 * t_2)) + t_1)), math.sqrt((t_3 + (t_0 * ((math.cos(lambda1) / 2.0) - 0.5)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_1 + (t_0 * (t_2 * math.sin((lambda2 * -0.5)))))), math.sqrt((t_3 + (t_0 * ((math.cos((lambda1 - lambda2)) / 2.0) - 0.5)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(1.0 - t_1) tmp = 0.0 if ((lambda1 <= -2.9e-10) || !(lambda1 <= 2.1e-11)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(t_2 * t_2)) + t_1)), sqrt(Float64(t_3 + Float64(t_0 * Float64(Float64(cos(lambda1) / 2.0) - 0.5))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(t_0 * Float64(t_2 * sin(Float64(lambda2 * -0.5)))))), sqrt(Float64(t_3 + Float64(t_0 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = 1.0 - t_1; tmp = 0.0; if ((lambda1 <= -2.9e-10) || ~((lambda1 <= 2.1e-11))) tmp = R * (2.0 * atan2(sqrt(((t_0 * (t_2 * t_2)) + t_1)), sqrt((t_3 + (t_0 * ((cos(lambda1) / 2.0) - 0.5)))))); else tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((lambda2 * -0.5)))))), sqrt((t_3 + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(1.0 - t$95$1), $MachinePrecision]}, If[Or[LessEqual[lambda1, -2.9e-10], N[Not[LessEqual[lambda1, 2.1e-11]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 + N[(t$95$0 * N[(N[(N[Cos[lambda1], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[(t$95$2 * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 + N[(t$95$0 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 1 - t\_1\\
\mathbf{if}\;\lambda_1 \leq -2.9 \cdot 10^{-10} \lor \neg \left(\lambda_1 \leq 2.1 \cdot 10^{-11}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(t\_2 \cdot t\_2\right) + t\_1}}{\sqrt{t\_3 + t\_0 \cdot \left(\frac{\cos \lambda_1}{2} - 0.5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot \left(t\_2 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)}}{\sqrt{t\_3 + t\_0 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)\\
\end{array}
\end{array}
if lambda1 < -2.89999999999999981e-10 or 2.0999999999999999e-11 < lambda1 Initial program 50.4%
associate-*l*50.4%
Simplified50.4%
div-sub50.4%
sin-diff51.8%
Applied egg-rr51.8%
div-sub50.4%
sin-diff51.8%
Applied egg-rr64.0%
sin-mult64.0%
div-inv64.0%
metadata-eval64.0%
*-commutative64.0%
div-inv64.0%
metadata-eval64.0%
*-commutative64.0%
cos-sum63.9%
cos-264.0%
div-inv64.0%
metadata-eval64.0%
*-commutative64.0%
Applied egg-rr64.0%
div-sub64.0%
+-inverses64.0%
cos-064.0%
metadata-eval64.0%
associate-*r*64.0%
metadata-eval64.0%
*-lft-identity64.0%
Simplified64.0%
Taylor expanded in lambda2 around 0 63.8%
if -2.89999999999999981e-10 < lambda1 < 2.0999999999999999e-11Initial program 75.2%
associate-*l*75.2%
Simplified75.2%
div-sub75.2%
sin-diff76.2%
Applied egg-rr76.2%
div-sub75.2%
sin-diff76.2%
Applied egg-rr99.1%
sin-mult99.1%
div-inv99.1%
metadata-eval99.1%
*-commutative99.1%
div-inv99.1%
metadata-eval99.1%
*-commutative99.1%
cos-sum99.0%
cos-299.1%
div-inv99.1%
metadata-eval99.1%
*-commutative99.1%
Applied egg-rr99.1%
div-sub99.1%
+-inverses99.1%
cos-099.1%
metadata-eval99.1%
associate-*r*99.1%
metadata-eval99.1%
*-lft-identity99.1%
Simplified99.1%
Taylor expanded in lambda1 around 0 98.5%
Final simplification82.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3
(sqrt
(+ (- 1.0 t_1) (* t_0 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5))))))
(if (or (<= lambda2 -1.9e-9) (not (<= lambda2 9.5e-6)))
(*
R
(*
2.0
(atan2 (sqrt (+ t_1 (* t_0 (* t_2 (sin (* lambda2 -0.5)))))) t_3)))
(*
R
(*
2.0
(atan2 (sqrt (+ t_1 (* t_0 (* t_2 (sin (* 0.5 lambda1)))))) 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(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = sqrt(((1.0 - t_1) + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))));
double tmp;
if ((lambda2 <= -1.9e-9) || !(lambda2 <= 9.5e-6)) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((lambda2 * -0.5)))))), t_3));
} else {
tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((0.5 * lambda1)))))), 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 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
t_3 = sqrt(((1.0d0 - t_1) + (t_0 * ((cos((lambda1 - lambda2)) / 2.0d0) - 0.5d0))))
if ((lambda2 <= (-1.9d-9)) .or. (.not. (lambda2 <= 9.5d-6))) then
tmp = r * (2.0d0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((lambda2 * (-0.5d0))))))), t_3))
else
tmp = r * (2.0d0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((0.5d0 * lambda1)))))), 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.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0);
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_3 = Math.sqrt(((1.0 - t_1) + (t_0 * ((Math.cos((lambda1 - lambda2)) / 2.0) - 0.5))));
double tmp;
if ((lambda2 <= -1.9e-9) || !(lambda2 <= 9.5e-6)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_1 + (t_0 * (t_2 * Math.sin((lambda2 * -0.5)))))), t_3));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_1 + (t_0 * (t_2 * Math.sin((0.5 * lambda1)))))), t_3));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) t_2 = math.sin(((lambda1 - lambda2) / 2.0)) t_3 = math.sqrt(((1.0 - t_1) + (t_0 * ((math.cos((lambda1 - lambda2)) / 2.0) - 0.5)))) tmp = 0 if (lambda2 <= -1.9e-9) or not (lambda2 <= 9.5e-6): tmp = R * (2.0 * math.atan2(math.sqrt((t_1 + (t_0 * (t_2 * math.sin((lambda2 * -0.5)))))), t_3)) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_1 + (t_0 * (t_2 * math.sin((0.5 * lambda1)))))), t_3)) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sqrt(Float64(Float64(1.0 - t_1) + Float64(t_0 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5)))) tmp = 0.0 if ((lambda2 <= -1.9e-9) || !(lambda2 <= 9.5e-6)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(t_0 * Float64(t_2 * sin(Float64(lambda2 * -0.5)))))), t_3))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(t_0 * Float64(t_2 * sin(Float64(0.5 * lambda1)))))), t_3))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_2 = sin(((lambda1 - lambda2) / 2.0)); t_3 = sqrt(((1.0 - t_1) + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5)))); tmp = 0.0; if ((lambda2 <= -1.9e-9) || ~((lambda2 <= 9.5e-6))) tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((lambda2 * -0.5)))))), t_3)); else tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_2 * sin((0.5 * lambda1)))))), 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[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] + N[(t$95$0 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[lambda2, -1.9e-9], N[Not[LessEqual[lambda2, 9.5e-6]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[(t$95$2 * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[(t$95$2 * N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \sqrt{\left(1 - t\_1\right) + t\_0 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}\\
\mathbf{if}\;\lambda_2 \leq -1.9 \cdot 10^{-9} \lor \neg \left(\lambda_2 \leq 9.5 \cdot 10^{-6}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot \left(t\_2 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)}}{t\_3}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot \left(t\_2 \cdot \sin \left(0.5 \cdot \lambda_1\right)\right)}}{t\_3}\right)\\
\end{array}
\end{array}
if lambda2 < -1.90000000000000006e-9 or 9.5000000000000005e-6 < lambda2 Initial program 51.4%
associate-*l*51.4%
Simplified51.4%
div-sub51.4%
sin-diff52.8%
Applied egg-rr52.8%
div-sub51.4%
sin-diff52.8%
Applied egg-rr67.8%
sin-mult67.9%
div-inv67.9%
metadata-eval67.9%
*-commutative67.9%
div-inv67.9%
metadata-eval67.9%
*-commutative67.9%
cos-sum67.8%
cos-267.9%
div-inv67.9%
metadata-eval67.9%
*-commutative67.9%
Applied egg-rr67.9%
div-sub67.9%
+-inverses67.9%
cos-067.9%
metadata-eval67.9%
associate-*r*67.9%
metadata-eval67.9%
*-lft-identity67.9%
Simplified67.9%
Taylor expanded in lambda1 around 0 66.5%
if -1.90000000000000006e-9 < lambda2 < 9.5000000000000005e-6Initial program 76.6%
associate-*l*76.6%
Simplified76.6%
div-sub76.6%
sin-diff77.6%
Applied egg-rr77.6%
div-sub76.6%
sin-diff77.6%
Applied egg-rr98.4%
sin-mult98.4%
div-inv98.4%
metadata-eval98.4%
*-commutative98.4%
div-inv98.4%
metadata-eval98.4%
*-commutative98.4%
cos-sum98.4%
cos-298.4%
div-inv98.4%
metadata-eval98.4%
*-commutative98.4%
Applied egg-rr98.4%
div-sub98.4%
+-inverses98.4%
cos-098.4%
metadata-eval98.4%
associate-*r*98.4%
metadata-eval98.4%
*-lft-identity98.4%
Simplified98.4%
Taylor expanded in lambda2 around 0 98.1%
Final simplification81.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (- 1.0 t_1))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_0 (* t_3 t_3)))
(t_5 (* t_3 (* t_0 t_3))))
(if (<= lambda1 -4.2e-57)
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 (pow (sin (/ 1.0 (/ 2.0 (- phi1 phi2)))) 2.0)))
(sqrt (- t_2 t_4)))))
(if (<= lambda1 1.3e-9)
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (* t_0 (* t_3 (sin (* lambda2 -0.5))))))
(sqrt (+ t_2 (* t_0 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5)))))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_5))
(sqrt (- 1.0 (+ 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 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = 1.0 - t_1;
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_0 * (t_3 * t_3);
double t_5 = t_3 * (t_0 * t_3);
double tmp;
if (lambda1 <= -4.2e-57) {
tmp = R * (2.0 * atan2(sqrt((t_4 + pow(sin((1.0 / (2.0 / (phi1 - phi2)))), 2.0))), sqrt((t_2 - t_4))));
} else if (lambda1 <= 1.3e-9) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_3 * sin((lambda2 * -0.5)))))), sqrt((t_2 + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_5)), sqrt((1.0 - (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) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_2 = 1.0d0 - t_1
t_3 = sin(((lambda1 - lambda2) / 2.0d0))
t_4 = t_0 * (t_3 * t_3)
t_5 = t_3 * (t_0 * t_3)
if (lambda1 <= (-4.2d-57)) then
tmp = r * (2.0d0 * atan2(sqrt((t_4 + (sin((1.0d0 / (2.0d0 / (phi1 - phi2)))) ** 2.0d0))), sqrt((t_2 - t_4))))
else if (lambda1 <= 1.3d-9) then
tmp = r * (2.0d0 * atan2(sqrt((t_1 + (t_0 * (t_3 * sin((lambda2 * (-0.5d0))))))), sqrt((t_2 + (t_0 * ((cos((lambda1 - lambda2)) / 2.0d0) - 0.5d0))))))
else
tmp = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_5)), sqrt((1.0d0 - (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.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0);
double t_2 = 1.0 - t_1;
double t_3 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_0 * (t_3 * t_3);
double t_5 = t_3 * (t_0 * t_3);
double tmp;
if (lambda1 <= -4.2e-57) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_4 + Math.pow(Math.sin((1.0 / (2.0 / (phi1 - phi2)))), 2.0))), Math.sqrt((t_2 - t_4))));
} else if (lambda1 <= 1.3e-9) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_1 + (t_0 * (t_3 * Math.sin((lambda2 * -0.5)))))), Math.sqrt((t_2 + (t_0 * ((Math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_5)), Math.sqrt((1.0 - (t_1 + t_5)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) t_2 = 1.0 - t_1 t_3 = math.sin(((lambda1 - lambda2) / 2.0)) t_4 = t_0 * (t_3 * t_3) t_5 = t_3 * (t_0 * t_3) tmp = 0 if lambda1 <= -4.2e-57: tmp = R * (2.0 * math.atan2(math.sqrt((t_4 + math.pow(math.sin((1.0 / (2.0 / (phi1 - phi2)))), 2.0))), math.sqrt((t_2 - t_4)))) elif lambda1 <= 1.3e-9: tmp = R * (2.0 * math.atan2(math.sqrt((t_1 + (t_0 * (t_3 * math.sin((lambda2 * -0.5)))))), math.sqrt((t_2 + (t_0 * ((math.cos((lambda1 - lambda2)) / 2.0) - 0.5)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_5)), math.sqrt((1.0 - (t_1 + t_5))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = Float64(1.0 - t_1) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(t_0 * Float64(t_3 * t_3)) t_5 = Float64(t_3 * Float64(t_0 * t_3)) tmp = 0.0 if (lambda1 <= -4.2e-57) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + (sin(Float64(1.0 / Float64(2.0 / Float64(phi1 - phi2)))) ^ 2.0))), sqrt(Float64(t_2 - t_4))))); elseif (lambda1 <= 1.3e-9) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(t_0 * Float64(t_3 * sin(Float64(lambda2 * -0.5)))))), sqrt(Float64(t_2 + Float64(t_0 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_5)), sqrt(Float64(1.0 - 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 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_2 = 1.0 - t_1; t_3 = sin(((lambda1 - lambda2) / 2.0)); t_4 = t_0 * (t_3 * t_3); t_5 = t_3 * (t_0 * t_3); tmp = 0.0; if (lambda1 <= -4.2e-57) tmp = R * (2.0 * atan2(sqrt((t_4 + (sin((1.0 / (2.0 / (phi1 - phi2)))) ^ 2.0))), sqrt((t_2 - t_4)))); elseif (lambda1 <= 1.3e-9) tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * (t_3 * sin((lambda2 * -0.5)))))), sqrt((t_2 + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5)))))); else tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_5)), sqrt((1.0 - (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[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$0 * N[(t$95$3 * t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 * N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -4.2e-57], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[Power[N[Sin[N[(1.0 / N[(2.0 / N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$2 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 1.3e-9], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[(t$95$3 * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$2 + N[(t$95$0 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - 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 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := 1 - t\_1\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := t\_0 \cdot \left(t\_3 \cdot t\_3\right)\\
t_5 := t\_3 \cdot \left(t\_0 \cdot t\_3\right)\\
\mathbf{if}\;\lambda_1 \leq -4.2 \cdot 10^{-57}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + {\sin \left(\frac{1}{\frac{2}{\phi_1 - \phi_2}}\right)}^{2}}}{\sqrt{t\_2 - t\_4}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 1.3 \cdot 10^{-9}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot \left(t\_3 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)}}{\sqrt{t\_2 + t\_0 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_5}}{\sqrt{1 - \left(t\_1 + t\_5\right)}}\right)\\
\end{array}
\end{array}
if lambda1 < -4.1999999999999999e-57Initial program 61.7%
associate-*l*61.7%
Simplified61.7%
div-sub61.7%
sin-diff62.9%
Applied egg-rr62.9%
clear-num63.0%
inv-pow63.0%
Applied egg-rr63.0%
unpow-163.0%
Simplified63.0%
if -4.1999999999999999e-57 < lambda1 < 1.3000000000000001e-9Initial program 72.7%
associate-*l*72.7%
Simplified72.7%
div-sub72.7%
sin-diff73.8%
Applied egg-rr73.8%
div-sub72.7%
sin-diff73.8%
Applied egg-rr99.1%
sin-mult99.1%
div-inv99.1%
metadata-eval99.1%
*-commutative99.1%
div-inv99.1%
metadata-eval99.1%
*-commutative99.1%
cos-sum99.0%
cos-299.1%
div-inv99.1%
metadata-eval99.1%
*-commutative99.1%
Applied egg-rr99.1%
div-sub99.1%
+-inverses99.1%
cos-099.1%
metadata-eval99.1%
associate-*r*99.1%
metadata-eval99.1%
*-lft-identity99.1%
Simplified99.1%
Taylor expanded in lambda1 around 0 99.1%
if 1.3000000000000001e-9 < lambda1 Initial program 48.4%
div-sub48.3%
sin-diff49.8%
Applied egg-rr49.8%
Final simplification77.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* t_1 t_1))
(t_3
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_4 (- 1.0 t_3)))
(if (<= phi2 -42000.0)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_0 t_2) t_3))
(sqrt
(- t_4 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))))
(if (<= phi2 1.1e-52)
(*
R
(*
2.0
(atan2
(sqrt
(+
(*
(cos phi1)
(pow
(fma
(sin (/ lambda1 2.0))
(cos (/ lambda2 2.0))
(* (cos (/ lambda1 2.0)) (- (sin (/ lambda2 2.0)))))
2.0))
(pow (sin (* phi1 0.5)) 2.0)))
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_1 (* t_0 t_1))))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (* (cos phi2) t_2)))
(sqrt
(+ t_4 (* t_0 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * t_1;
double t_3 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_4 = 1.0 - t_3;
double tmp;
if (phi2 <= -42000.0) {
tmp = R * (2.0 * atan2(sqrt(((t_0 * t_2) + t_3)), sqrt((t_4 - (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0))))));
} else if (phi2 <= 1.1e-52) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * pow(fma(sin((lambda1 / 2.0)), cos((lambda2 / 2.0)), (cos((lambda1 / 2.0)) * -sin((lambda2 / 2.0)))), 2.0)) + pow(sin((phi1 * 0.5)), 2.0))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_0 * t_1)))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_3 + (cos(phi2) * t_2))), sqrt((t_4 + (t_0 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_1 * t_1) t_3 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_4 = Float64(1.0 - t_3) tmp = 0.0 if (phi2 <= -42000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * t_2) + t_3)), sqrt(Float64(t_4 - Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))))))); elseif (phi2 <= 1.1e-52) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * (fma(sin(Float64(lambda1 / 2.0)), cos(Float64(lambda2 / 2.0)), Float64(cos(Float64(lambda1 / 2.0)) * Float64(-sin(Float64(lambda2 / 2.0))))) ^ 2.0)) + (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64(cos(phi2) * t_2))), sqrt(Float64(t_4 + Float64(t_0 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(1.0 - t$95$3), $MachinePrecision]}, If[LessEqual[phi2, -42000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 1.1e-52], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 + N[(t$95$0 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot t\_1\\
t_3 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_4 := 1 - t\_3\\
\mathbf{if}\;\phi_2 \leq -42000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot t\_2 + t\_3}}{\sqrt{t\_4 - \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)\\
\mathbf{elif}\;\phi_2 \leq 1.1 \cdot 10^{-52}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot {\left(\mathsf{fma}\left(\sin \left(\frac{\lambda_1}{2}\right), \cos \left(\frac{\lambda_2}{2}\right), \cos \left(\frac{\lambda_1}{2}\right) \cdot \left(-\sin \left(\frac{\lambda_2}{2}\right)\right)\right)\right)}^{2} + {\sin \left(\phi_1 \cdot 0.5\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + \cos \phi_2 \cdot t\_2}}{\sqrt{t\_4 + t\_0 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -42000Initial program 50.8%
associate-*l*50.8%
Simplified50.8%
div-sub50.8%
sin-diff53.3%
Applied egg-rr53.3%
div-sub50.8%
sin-diff53.3%
Applied egg-rr85.3%
Taylor expanded in phi1 around 0 62.7%
if -42000 < phi2 < 1.10000000000000005e-52Initial program 80.8%
expm1-log1p-u80.8%
div-inv80.8%
metadata-eval80.8%
Applied egg-rr80.8%
Taylor expanded in phi2 around 0 80.7%
*-commutative80.7%
metadata-eval80.7%
div-inv80.7%
div-sub80.7%
sin-diff81.4%
Applied egg-rr81.4%
fmm-def81.4%
distribute-rgt-neg-in81.4%
Simplified81.4%
if 1.10000000000000005e-52 < phi2 Initial program 46.1%
associate-*l*46.1%
Simplified46.1%
div-sub46.1%
sin-diff48.1%
Applied egg-rr48.1%
div-sub46.1%
sin-diff48.1%
Applied egg-rr83.5%
sin-mult83.4%
div-inv83.4%
metadata-eval83.4%
*-commutative83.4%
div-inv83.4%
metadata-eval83.4%
*-commutative83.4%
cos-sum83.4%
cos-283.4%
div-inv83.4%
metadata-eval83.4%
*-commutative83.4%
Applied egg-rr83.4%
div-sub83.4%
+-inverses83.4%
cos-083.4%
metadata-eval83.4%
associate-*r*83.4%
metadata-eval83.4%
*-lft-identity83.4%
Simplified83.4%
Taylor expanded in phi1 around 0 60.9%
Final simplification71.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (* (cos phi1) (cos phi2))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_2 (* t_0 t_0)) t_1))
(sqrt
(+ (- 1.0 t_1) (* t_2 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5)))))))))
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 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = cos(phi1) * cos(phi2);
return R * (2.0 * atan2(sqrt(((t_2 * (t_0 * t_0)) + t_1)), sqrt(((1.0 - t_1) + (t_2 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0
t_2 = cos(phi1) * cos(phi2)
code = r * (2.0d0 * atan2(sqrt(((t_2 * (t_0 * t_0)) + t_1)), sqrt(((1.0d0 - t_1) + (t_2 * ((cos((lambda1 - lambda2)) / 2.0d0) - 0.5d0))))))
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 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0);
double t_2 = Math.cos(phi1) * Math.cos(phi2);
return R * (2.0 * Math.atan2(Math.sqrt(((t_2 * (t_0 * t_0)) + t_1)), Math.sqrt(((1.0 - t_1) + (t_2 * ((Math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) t_2 = math.cos(phi1) * math.cos(phi2) return R * (2.0 * math.atan2(math.sqrt(((t_2 * (t_0 * t_0)) + t_1)), math.sqrt(((1.0 - t_1) + (t_2 * ((math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = Float64(cos(phi1) * cos(phi2)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_2 * Float64(t_0 * t_0)) + t_1)), sqrt(Float64(Float64(1.0 - t_1) + Float64(t_2 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = ((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0; t_2 = cos(phi1) * cos(phi2); tmp = R * (2.0 * atan2(sqrt(((t_2 * (t_0 * t_0)) + t_1)), sqrt(((1.0 - t_1) + (t_2 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] + N[(t$95$2 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $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 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 \cdot \left(t\_0 \cdot t\_0\right) + t\_1}}{\sqrt{\left(1 - t\_1\right) + t\_2 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 63.7%
associate-*l*63.7%
Simplified63.7%
div-sub63.7%
sin-diff64.9%
Applied egg-rr64.9%
div-sub63.7%
sin-diff64.9%
Applied egg-rr82.8%
sin-mult82.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
cos-sum82.7%
cos-282.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
Applied egg-rr82.8%
div-sub82.8%
+-inverses82.8%
cos-082.8%
metadata-eval82.8%
associate-*r*82.8%
metadata-eval82.8%
*-lft-identity82.8%
Simplified82.8%
Final simplification82.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_2 (* (cos phi1) (cos phi2))))
(if (or (<= phi2 -42000.0) (not (<= phi2 1.1e-52)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (* (cos phi2) (* t_0 t_0))))
(sqrt
(+ (- 1.0 t_1) (* t_2 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(*
(cos phi1)
(pow
(fma
(sin (/ lambda1 2.0))
(cos (/ lambda2 2.0))
(* (cos (/ lambda1 2.0)) (- (sin (/ lambda2 2.0)))))
2.0))
(pow (sin (* phi1 0.5)) 2.0)))
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_0 (* t_2 t_0)))))))))))
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 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_2 = cos(phi1) * cos(phi2);
double tmp;
if ((phi2 <= -42000.0) || !(phi2 <= 1.1e-52)) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi2) * (t_0 * t_0)))), sqrt(((1.0 - t_1) + (t_2 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
} else {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * pow(fma(sin((lambda1 / 2.0)), cos((lambda2 / 2.0)), (cos((lambda1 / 2.0)) * -sin((lambda2 / 2.0)))), 2.0)) + pow(sin((phi1 * 0.5)), 2.0))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * (t_2 * t_0)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_2 = Float64(cos(phi1) * cos(phi2)) tmp = 0.0 if ((phi2 <= -42000.0) || !(phi2 <= 1.1e-52)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(cos(phi2) * Float64(t_0 * t_0)))), sqrt(Float64(Float64(1.0 - t_1) + Float64(t_2 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * (fma(sin(Float64(lambda1 / 2.0)), cos(Float64(lambda2 / 2.0)), Float64(cos(Float64(lambda1 / 2.0)) * Float64(-sin(Float64(lambda2 / 2.0))))) ^ 2.0)) + (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * Float64(t_2 * t_0)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -42000.0], N[Not[LessEqual[phi2, 1.1e-52]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] + N[(t$95$2 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
\mathbf{if}\;\phi_2 \leq -42000 \lor \neg \left(\phi_2 \leq 1.1 \cdot 10^{-52}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_2 \cdot \left(t\_0 \cdot t\_0\right)}}{\sqrt{\left(1 - t\_1\right) + t\_2 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot {\left(\mathsf{fma}\left(\sin \left(\frac{\lambda_1}{2}\right), \cos \left(\frac{\lambda_2}{2}\right), \cos \left(\frac{\lambda_1}{2}\right) \cdot \left(-\sin \left(\frac{\lambda_2}{2}\right)\right)\right)\right)}^{2} + {\sin \left(\phi_1 \cdot 0.5\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \left(t\_2 \cdot t\_0\right)\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -42000 or 1.10000000000000005e-52 < phi2 Initial program 48.6%
associate-*l*48.6%
Simplified48.6%
div-sub48.6%
sin-diff50.8%
Applied egg-rr50.8%
div-sub48.6%
sin-diff50.8%
Applied egg-rr84.5%
sin-mult84.4%
div-inv84.4%
metadata-eval84.4%
*-commutative84.4%
div-inv84.4%
metadata-eval84.4%
*-commutative84.4%
cos-sum84.4%
cos-284.4%
div-inv84.4%
metadata-eval84.4%
*-commutative84.4%
Applied egg-rr84.4%
div-sub84.4%
+-inverses84.4%
cos-084.4%
metadata-eval84.4%
associate-*r*84.4%
metadata-eval84.4%
*-lft-identity84.4%
Simplified84.4%
Taylor expanded in phi1 around 0 61.7%
if -42000 < phi2 < 1.10000000000000005e-52Initial program 80.8%
expm1-log1p-u80.8%
div-inv80.8%
metadata-eval80.8%
Applied egg-rr80.8%
Taylor expanded in phi2 around 0 80.7%
*-commutative80.7%
metadata-eval80.7%
div-inv80.7%
div-sub80.7%
sin-diff81.4%
Applied egg-rr81.4%
fmm-def81.4%
distribute-rgt-neg-in81.4%
Simplified81.4%
Final simplification71.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* t_1 t_1))
(t_3 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5))
(t_4
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0))
(t_5 (- 1.0 t_4)))
(if (<= phi2 -42000.0)
(*
R
(*
2.0
(atan2 (sqrt (+ (* t_0 t_2) t_4)) (sqrt (+ t_5 (* (cos phi2) t_3))))))
(if (<= phi2 7.6e-53)
(*
R
(*
2.0
(atan2
(sqrt
(+
(*
(cos phi1)
(pow
(fma
(sin (/ lambda1 2.0))
(cos (/ lambda2 2.0))
(* (cos (/ lambda1 2.0)) (- (sin (/ lambda2 2.0)))))
2.0))
(pow (sin (* phi1 0.5)) 2.0)))
(sqrt
(-
1.0
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_1 (* t_0 t_1))))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 (* (cos phi2) t_2)))
(sqrt (+ t_5 (* t_0 t_3))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * t_1;
double t_3 = (cos((lambda1 - lambda2)) / 2.0) - 0.5;
double t_4 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double t_5 = 1.0 - t_4;
double tmp;
if (phi2 <= -42000.0) {
tmp = R * (2.0 * atan2(sqrt(((t_0 * t_2) + t_4)), sqrt((t_5 + (cos(phi2) * t_3)))));
} else if (phi2 <= 7.6e-53) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * pow(fma(sin((lambda1 / 2.0)), cos((lambda2 / 2.0)), (cos((lambda1 / 2.0)) * -sin((lambda2 / 2.0)))), 2.0)) + pow(sin((phi1 * 0.5)), 2.0))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * (t_0 * t_1)))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_4 + (cos(phi2) * t_2))), sqrt((t_5 + (t_0 * t_3)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_1 * t_1) t_3 = Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5) t_4 = Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0 t_5 = Float64(1.0 - t_4) tmp = 0.0 if (phi2 <= -42000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * t_2) + t_4)), sqrt(Float64(t_5 + Float64(cos(phi2) * t_3)))))); elseif (phi2 <= 7.6e-53) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * (fma(sin(Float64(lambda1 / 2.0)), cos(Float64(lambda2 / 2.0)), Float64(cos(Float64(lambda1 / 2.0)) * Float64(-sin(Float64(lambda2 / 2.0))))) ^ 2.0)) + (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + Float64(cos(phi2) * t_2))), sqrt(Float64(t_5 + Float64(t_0 * t_3)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(1.0 - t$95$4), $MachinePrecision]}, If[LessEqual[phi2, -42000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 7.6e-53], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$5 + N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot t\_1\\
t_3 := \frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\\
t_4 := {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\\
t_5 := 1 - t\_4\\
\mathbf{if}\;\phi_2 \leq -42000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot t\_2 + t\_4}}{\sqrt{t\_5 + \cos \phi_2 \cdot t\_3}}\right)\\
\mathbf{elif}\;\phi_2 \leq 7.6 \cdot 10^{-53}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot {\left(\mathsf{fma}\left(\sin \left(\frac{\lambda_1}{2}\right), \cos \left(\frac{\lambda_2}{2}\right), \cos \left(\frac{\lambda_1}{2}\right) \cdot \left(-\sin \left(\frac{\lambda_2}{2}\right)\right)\right)\right)}^{2} + {\sin \left(\phi_1 \cdot 0.5\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + \cos \phi_2 \cdot t\_2}}{\sqrt{t\_5 + t\_0 \cdot t\_3}}\right)\\
\end{array}
\end{array}
if phi2 < -42000Initial program 50.8%
associate-*l*50.8%
Simplified50.8%
div-sub50.8%
sin-diff53.3%
Applied egg-rr53.3%
div-sub50.8%
sin-diff53.3%
Applied egg-rr85.3%
sin-mult85.3%
div-inv85.3%
metadata-eval85.3%
*-commutative85.3%
div-inv85.3%
metadata-eval85.3%
*-commutative85.3%
cos-sum85.3%
cos-285.3%
div-inv85.3%
metadata-eval85.3%
*-commutative85.3%
Applied egg-rr85.3%
div-sub85.3%
+-inverses85.3%
cos-085.3%
metadata-eval85.3%
associate-*r*85.3%
metadata-eval85.3%
*-lft-identity85.3%
Simplified85.3%
Taylor expanded in phi1 around 0 62.7%
if -42000 < phi2 < 7.5999999999999995e-53Initial program 80.8%
expm1-log1p-u80.8%
div-inv80.8%
metadata-eval80.8%
Applied egg-rr80.8%
Taylor expanded in phi2 around 0 80.7%
*-commutative80.7%
metadata-eval80.7%
div-inv80.7%
div-sub80.7%
sin-diff81.4%
Applied egg-rr81.4%
fmm-def81.4%
distribute-rgt-neg-in81.4%
Simplified81.4%
if 7.5999999999999995e-53 < phi2 Initial program 46.1%
associate-*l*46.1%
Simplified46.1%
div-sub46.1%
sin-diff48.1%
Applied egg-rr48.1%
div-sub46.1%
sin-diff48.1%
Applied egg-rr83.5%
sin-mult83.4%
div-inv83.4%
metadata-eval83.4%
*-commutative83.4%
div-inv83.4%
metadata-eval83.4%
*-commutative83.4%
cos-sum83.4%
cos-283.4%
div-inv83.4%
metadata-eval83.4%
*-commutative83.4%
Applied egg-rr83.4%
div-sub83.4%
+-inverses83.4%
cos-083.4%
metadata-eval83.4%
associate-*r*83.4%
metadata-eval83.4%
*-lft-identity83.4%
Simplified83.4%
Taylor expanded in phi1 around 0 60.9%
Final simplification71.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* t_0 t_0))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)))
(sqrt
(+
(+ 1.0 (- (/ (cos (- phi1 phi2)) 2.0) 0.5))
(* t_1 (- (/ (cos (- lambda1 lambda2)) 2.0) 0.5)))))))))
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);
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_0)) + pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0))), sqrt(((1.0 + ((cos((phi1 - phi2)) / 2.0) - 0.5)) + (t_1 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = cos(phi1) * cos(phi2)
code = r * (2.0d0 * atan2(sqrt(((t_1 * (t_0 * t_0)) + (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0))), sqrt(((1.0d0 + ((cos((phi1 - phi2)) / 2.0d0) - 0.5d0)) + (t_1 * ((cos((lambda1 - lambda2)) / 2.0d0) - 0.5d0))))))
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);
return R * (2.0 * Math.atan2(Math.sqrt(((t_1 * (t_0 * t_0)) + Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0))), Math.sqrt(((1.0 + ((Math.cos((phi1 - phi2)) / 2.0) - 0.5)) + (t_1 * ((Math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.cos(phi1) * math.cos(phi2) return R * (2.0 * math.atan2(math.sqrt(((t_1 * (t_0 * t_0)) + math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0))), math.sqrt(((1.0 + ((math.cos((phi1 - phi2)) / 2.0) - 0.5)) + (t_1 * ((math.cos((lambda1 - lambda2)) / 2.0) - 0.5))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_0)) + (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0))), sqrt(Float64(Float64(1.0 + Float64(Float64(cos(Float64(phi1 - phi2)) / 2.0) - 0.5)) + Float64(t_1 * Float64(Float64(cos(Float64(lambda1 - lambda2)) / 2.0) - 0.5))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = cos(phi1) * cos(phi2); tmp = R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_0)) + (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0))), sqrt(((1.0 + ((cos((phi1 - phi2)) / 2.0) - 0.5)) + (t_1 * ((cos((lambda1 - lambda2)) / 2.0) - 0.5)))))); 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]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision] - 0.5), $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\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_0\right) + {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}}}{\sqrt{\left(1 + \left(\frac{\cos \left(\phi_1 - \phi_2\right)}{2} - 0.5\right)\right) + t\_1 \cdot \left(\frac{\cos \left(\lambda_1 - \lambda_2\right)}{2} - 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 63.7%
associate-*l*63.7%
Simplified63.7%
div-sub63.7%
sin-diff64.9%
Applied egg-rr64.9%
div-sub63.7%
sin-diff64.9%
Applied egg-rr82.8%
sin-mult82.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
cos-sum82.7%
cos-282.8%
div-inv82.8%
metadata-eval82.8%
*-commutative82.8%
Applied egg-rr82.8%
div-sub82.8%
+-inverses82.8%
cos-082.8%
metadata-eval82.8%
associate-*r*82.8%
metadata-eval82.8%
*-lft-identity82.8%
Simplified82.8%
sin-diff64.9%
div-sub64.9%
unpow264.9%
sin-mult65.0%
Applied egg-rr65.0%
div-sub65.0%
+-inverses65.0%
+-inverses65.0%
+-inverses65.0%
cos-065.0%
metadata-eval65.0%
distribute-rgt-out65.0%
metadata-eval65.0%
*-rgt-identity65.0%
Simplified65.0%
Final simplification65.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (* (cos phi2) t_0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0))))
(if (or (<= phi2 -42000.0) (not (<= phi2 1.7e+25)))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))))))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* (cos phi1) t_1) (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt
(- 1.0 (+ (pow (sin (* phi1 0.5)) 2.0) (* (cos phi1) t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = cos(phi2) * t_0;
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi2 <= -42000.0) || !(phi2 <= 1.7e+25)) {
tmp = R * (2.0 * atan2(sqrt((t_1 + pow(sin((phi2 * -0.5)), 2.0))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2)))))));
} else {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * t_1) + pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - (pow(sin((phi1 * 0.5)), 2.0) + (cos(phi1) * t_0))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_1 = cos(phi2) * t_0
t_2 = sin(((lambda1 - lambda2) / 2.0d0))
if ((phi2 <= (-42000.0d0)) .or. (.not. (phi2 <= 1.7d+25))) then
tmp = r * (2.0d0 * atan2(sqrt((t_1 + (sin((phi2 * (-0.5d0))) ** 2.0d0))), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2)))))))
else
tmp = r * (2.0d0 * atan2(sqrt(((cos(phi1) * t_1) + (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))), sqrt((1.0d0 - ((sin((phi1 * 0.5d0)) ** 2.0d0) + (cos(phi1) * t_0))))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = Math.cos(phi2) * t_0;
double t_2 = Math.sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi2 <= -42000.0) || !(phi2 <= 1.7e+25)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_1 + Math.pow(Math.sin((phi2 * -0.5)), 2.0))), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_2 * ((Math.cos(phi1) * Math.cos(phi2)) * t_2)))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * t_1) + Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))), Math.sqrt((1.0 - (Math.pow(Math.sin((phi1 * 0.5)), 2.0) + (Math.cos(phi1) * t_0))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = math.cos(phi2) * t_0 t_2 = math.sin(((lambda1 - lambda2) / 2.0)) tmp = 0 if (phi2 <= -42000.0) or not (phi2 <= 1.7e+25): tmp = R * (2.0 * math.atan2(math.sqrt((t_1 + math.pow(math.sin((phi2 * -0.5)), 2.0))), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_2 * ((math.cos(phi1) * math.cos(phi2)) * t_2))))))) else: tmp = R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * t_1) + math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))), math.sqrt((1.0 - (math.pow(math.sin((phi1 * 0.5)), 2.0) + (math.cos(phi1) * t_0)))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64(cos(phi2) * t_0) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if ((phi2 <= -42000.0) || !(phi2 <= 1.7e+25)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * t_1) + (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(phi1 * 0.5)) ^ 2.0) + Float64(cos(phi1) * t_0))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_1 = cos(phi2) * t_0; t_2 = sin(((lambda1 - lambda2) / 2.0)); tmp = 0.0; if ((phi2 <= -42000.0) || ~((phi2 <= 1.7e+25))) tmp = R * (2.0 * atan2(sqrt((t_1 + (sin((phi2 * -0.5)) ^ 2.0))), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2))))))); else tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * t_1) + (sin((0.5 * (phi1 - phi2))) ^ 2.0))), sqrt((1.0 - ((sin((phi1 * 0.5)) ^ 2.0) + (cos(phi1) * t_0)))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi2, -42000.0], N[Not[LessEqual[phi2, 1.7e+25]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \cos \phi_2 \cdot t\_0\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_2 \leq -42000 \lor \neg \left(\phi_2 \leq 1.7 \cdot 10^{+25}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot t\_1 + {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\phi_1 \cdot 0.5\right)}^{2} + \cos \phi_1 \cdot t\_0\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -42000 or 1.69999999999999992e25 < phi2 Initial program 46.5%
expm1-log1p-u46.5%
div-inv46.5%
metadata-eval46.5%
Applied egg-rr46.5%
Taylor expanded in phi1 around 0 48.0%
if -42000 < phi2 < 1.69999999999999992e25Initial program 80.3%
associate-*l*80.3%
Simplified80.3%
Taylor expanded in phi2 around 0 80.3%
expm1-log1p-u80.3%
fma-define80.3%
*-commutative80.3%
Applied egg-rr80.3%
Taylor expanded in phi1 around 0 80.3%
Final simplification64.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (* (cos phi2) t_1))
(t_3 (+ (pow (sin (* phi1 0.5)) 2.0) (* (cos phi1) t_1)))
(t_4 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= phi1 -4.3e-7)
(*
R
(*
2.0
(atan2
(sqrt (+ (* (cos phi1) t_2) (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 t_3)))))
(if (<= phi1 0.102)
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_0 (* t_4 t_4)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (+ t_2 (pow (sin (* phi2 -0.5)) 2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt t_3)
(sqrt
(+
1.0
(-
(/ (+ (cos (- phi1 phi2)) -1.0) 2.0)
(* t_4 (* t_0 t_4))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = cos(phi2) * t_1;
double t_3 = pow(sin((phi1 * 0.5)), 2.0) + (cos(phi1) * t_1);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (phi1 <= -4.3e-7) {
tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * t_2) + pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - t_3))));
} else if (phi1 <= 0.102) {
tmp = R * (2.0 * atan2(sqrt(((t_0 * (t_4 * t_4)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (t_2 + pow(sin((phi2 * -0.5)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 + (((cos((phi1 - phi2)) + -1.0) / 2.0) - (t_4 * (t_0 * t_4)))))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_2 = cos(phi2) * t_1
t_3 = (sin((phi1 * 0.5d0)) ** 2.0d0) + (cos(phi1) * t_1)
t_4 = sin(((lambda1 - lambda2) / 2.0d0))
if (phi1 <= (-4.3d-7)) then
tmp = r * (2.0d0 * atan2(sqrt(((cos(phi1) * t_2) + (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))), sqrt((1.0d0 - t_3))))
else if (phi1 <= 0.102d0) then
tmp = r * (2.0d0 * atan2(sqrt(((t_0 * (t_4 * t_4)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (t_2 + (sin((phi2 * (-0.5d0))) ** 2.0d0))))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_3), sqrt((1.0d0 + (((cos((phi1 - phi2)) + (-1.0d0)) / 2.0d0) - (t_4 * (t_0 * 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.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = Math.cos(phi2) * t_1;
double t_3 = Math.pow(Math.sin((phi1 * 0.5)), 2.0) + (Math.cos(phi1) * t_1);
double t_4 = Math.sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (phi1 <= -4.3e-7) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * t_2) + Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))), Math.sqrt((1.0 - t_3))));
} else if (phi1 <= 0.102) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(((t_0 * (t_4 * t_4)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - (t_2 + Math.pow(Math.sin((phi2 * -0.5)), 2.0))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_3), Math.sqrt((1.0 + (((Math.cos((phi1 - phi2)) + -1.0) / 2.0) - (t_4 * (t_0 * t_4)))))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_2 = math.cos(phi2) * t_1 t_3 = math.pow(math.sin((phi1 * 0.5)), 2.0) + (math.cos(phi1) * t_1) t_4 = math.sin(((lambda1 - lambda2) / 2.0)) tmp = 0 if phi1 <= -4.3e-7: tmp = R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * t_2) + math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))), math.sqrt((1.0 - t_3)))) elif phi1 <= 0.102: tmp = R * (2.0 * math.atan2(math.sqrt(((t_0 * (t_4 * t_4)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - (t_2 + math.pow(math.sin((phi2 * -0.5)), 2.0)))))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_3), math.sqrt((1.0 + (((math.cos((phi1 - phi2)) + -1.0) / 2.0) - (t_4 * (t_0 * t_4))))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = Float64(cos(phi2) * t_1) t_3 = Float64((sin(Float64(phi1 * 0.5)) ^ 2.0) + Float64(cos(phi1) * t_1)) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (phi1 <= -4.3e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * t_2) + (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 0.102) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(t_4 * t_4)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_2 + (sin(Float64(phi2 * -0.5)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 + Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + -1.0) / 2.0) - Float64(t_4 * Float64(t_0 * t_4)))))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_2 = cos(phi2) * t_1; t_3 = (sin((phi1 * 0.5)) ^ 2.0) + (cos(phi1) * t_1); t_4 = sin(((lambda1 - lambda2) / 2.0)); tmp = 0.0; if (phi1 <= -4.3e-7) tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * t_2) + (sin((0.5 * (phi1 - phi2))) ^ 2.0))), sqrt((1.0 - t_3)))); elseif (phi1 <= 0.102) tmp = R * (2.0 * atan2(sqrt(((t_0 * (t_4 * t_4)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (t_2 + (sin((phi2 * -0.5)) ^ 2.0)))))); else tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 + (((cos((phi1 - phi2)) + -1.0) / 2.0) - (t_4 * (t_0 * t_4))))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -4.3e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.102], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(t$95$4 * t$95$4), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision] - N[(t$95$4 * N[(t$95$0 * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \cos \phi_2 \cdot t\_1\\
t_3 := {\sin \left(\phi_1 \cdot 0.5\right)}^{2} + \cos \phi_1 \cdot t\_1\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_1 \leq -4.3 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot t\_2 + {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.102:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(t\_4 \cdot t\_4\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \left(t\_2 + {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 + \left(\frac{\cos \left(\phi_1 - \phi_2\right) + -1}{2} - t\_4 \cdot \left(t\_0 \cdot t\_4\right)\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -4.3000000000000001e-7Initial program 55.4%
associate-*l*55.4%
Simplified55.4%
Taylor expanded in phi2 around 0 57.0%
expm1-log1p-u57.1%
fma-define57.1%
*-commutative57.1%
Applied egg-rr57.1%
Taylor expanded in phi1 around 0 57.0%
if -4.3000000000000001e-7 < phi1 < 0.101999999999999993Initial program 79.6%
associate-*l*79.7%
Simplified79.7%
Taylor expanded in phi1 around 0 79.6%
if 0.101999999999999993 < phi1 Initial program 43.2%
expm1-log1p-u43.1%
div-inv43.1%
metadata-eval43.1%
Applied egg-rr43.1%
Taylor expanded in phi2 around 0 44.8%
unpow243.2%
sin-mult43.3%
div-inv43.3%
metadata-eval43.3%
div-inv43.3%
metadata-eval43.3%
div-inv43.3%
metadata-eval43.3%
div-inv43.3%
metadata-eval43.3%
Applied egg-rr44.9%
+-inverses43.3%
cos-043.3%
distribute-lft-out43.3%
metadata-eval43.3%
*-rgt-identity43.3%
Simplified44.9%
Final simplification64.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* t_0 (* (* (cos phi1) (cos phi2)) t_0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_1))
(sqrt (+ 1.0 (- (/ (+ (cos (- phi1 phi2)) -1.0) 2.0) t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0);
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), sqrt((1.0 + (((cos((phi1 - phi2)) + -1.0) / 2.0) - t_1)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0)
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_1)), sqrt((1.0d0 + (((cos((phi1 - phi2)) + (-1.0d0)) / 2.0d0) - t_1)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), Math.sqrt((1.0 + (((Math.cos((phi1 - phi2)) + -1.0) / 2.0) - t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), math.sqrt((1.0 + (((math.cos((phi1 - phi2)) + -1.0) / 2.0) - t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt(Float64(1.0 + Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + -1.0) / 2.0) - t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0); tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt((1.0 + (((cos((phi1 - phi2)) + -1.0) / 2.0) - 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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision] - t$95$1), $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 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1}}{\sqrt{1 + \left(\frac{\cos \left(\phi_1 - \phi_2\right) + -1}{2} - t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 63.7%
unpow263.7%
sin-mult63.8%
div-inv63.8%
metadata-eval63.8%
div-inv63.8%
metadata-eval63.8%
div-inv63.8%
metadata-eval63.8%
div-inv63.8%
metadata-eval63.8%
Applied egg-rr63.8%
+-inverses63.8%
cos-063.8%
distribute-lft-out63.8%
metadata-eval63.8%
*-rgt-identity63.8%
Simplified63.8%
Final simplification63.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* (cos phi1) (* (cos phi2) t_0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (+ (pow (sin (* phi1 0.5)) 2.0) (* (cos phi1) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(((cos(phi1) * (cos(phi2) * t_0)) + pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - (pow(sin((phi1 * 0.5)), 2.0) + (cos(phi1) * t_0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt(((cos(phi1) * (cos(phi2) * t_0)) + (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))), sqrt((1.0d0 - ((sin((phi1 * 0.5d0)) ** 2.0d0) + (cos(phi1) * t_0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt(((Math.cos(phi1) * (Math.cos(phi2) * t_0)) + Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))), Math.sqrt((1.0 - (Math.pow(Math.sin((phi1 * 0.5)), 2.0) + (Math.cos(phi1) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) return R * (2.0 * math.atan2(math.sqrt(((math.cos(phi1) * (math.cos(phi2) * t_0)) + math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))), math.sqrt((1.0 - (math.pow(math.sin((phi1 * 0.5)), 2.0) + (math.cos(phi1) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi1) * Float64(cos(phi2) * t_0)) + (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(phi1 * 0.5)) ^ 2.0) + Float64(cos(phi1) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; tmp = R * (2.0 * atan2(sqrt(((cos(phi1) * (cos(phi2) * t_0)) + (sin((0.5 * (phi1 - phi2))) ^ 2.0))), sqrt((1.0 - ((sin((phi1 * 0.5)) ^ 2.0) + (cos(phi1) * t_0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_0\right) + {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\phi_1 \cdot 0.5\right)}^{2} + \cos \phi_1 \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 63.7%
associate-*l*63.7%
Simplified63.7%
Taylor expanded in phi2 around 0 50.5%
expm1-log1p-u50.5%
fma-define50.5%
*-commutative50.5%
Applied egg-rr50.5%
Taylor expanded in phi1 around 0 50.5%
Final simplification50.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(if (or (<= phi1 -7e-24) (not (<= phi1 1.5e-8)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (* phi1 0.5)) 2.0)
(* (cos phi1) (- 0.5 (/ (cos (- lambda1 lambda2)) 2.0)))))
(sqrt (- 1.0 (+ t_0 (* t_1 (* (* (cos phi1) (cos phi2)) t_1))))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_0
(*
(cos phi1)
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0))))
(sqrt (- 1.0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi1 <= -7e-24) || !(phi1 <= 1.5e-8)) {
tmp = R * (2.0 * atan2(sqrt((pow(sin((phi1 * 0.5)), 2.0) + (cos(phi1) * (0.5 - (cos((lambda1 - lambda2)) / 2.0))))), sqrt((1.0 - (t_0 + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0)))), sqrt((1.0 - pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
if ((phi1 <= (-7d-24)) .or. (.not. (phi1 <= 1.5d-8))) then
tmp = r * (2.0d0 * atan2(sqrt(((sin((phi1 * 0.5d0)) ** 2.0d0) + (cos(phi1) * (0.5d0 - (cos((lambda1 - lambda2)) / 2.0d0))))), sqrt((1.0d0 - (t_0 + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))))))
else
tmp = r * (2.0d0 * atan2(sqrt((t_0 + (cos(phi1) * (((sin((lambda1 / 2.0d0)) * cos((lambda2 / 2.0d0))) - (cos((lambda1 / 2.0d0)) * sin((lambda2 / 2.0d0)))) ** 2.0d0)))), sqrt((1.0d0 - (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi1 <= -7e-24) || !(phi1 <= 1.5e-8)) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin((phi1 * 0.5)), 2.0) + (Math.cos(phi1) * (0.5 - (Math.cos((lambda1 - lambda2)) / 2.0))))), Math.sqrt((1.0 - (t_0 + (t_1 * ((Math.cos(phi1) * Math.cos(phi2)) * t_1)))))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + (Math.cos(phi1) * Math.pow(((Math.sin((lambda1 / 2.0)) * Math.cos((lambda2 / 2.0))) - (Math.cos((lambda1 / 2.0)) * Math.sin((lambda2 / 2.0)))), 2.0)))), Math.sqrt((1.0 - Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) tmp = 0 if (phi1 <= -7e-24) or not (phi1 <= 1.5e-8): tmp = R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin((phi1 * 0.5)), 2.0) + (math.cos(phi1) * (0.5 - (math.cos((lambda1 - lambda2)) / 2.0))))), math.sqrt((1.0 - (t_0 + (t_1 * ((math.cos(phi1) * math.cos(phi2)) * t_1))))))) else: tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + (math.cos(phi1) * math.pow(((math.sin((lambda1 / 2.0)) * math.cos((lambda2 / 2.0))) - (math.cos((lambda1 / 2.0)) * math.sin((lambda2 / 2.0)))), 2.0)))), math.sqrt((1.0 - math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if ((phi1 <= -7e-24) || !(phi1 <= 1.5e-8)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(phi1 * 0.5)) ^ 2.0) + Float64(cos(phi1) * Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) / 2.0))))), sqrt(Float64(1.0 - Float64(t_0 + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * (Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0)))), sqrt(Float64(1.0 - (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = 0.0; if ((phi1 <= -7e-24) || ~((phi1 <= 1.5e-8))) tmp = R * (2.0 * atan2(sqrt(((sin((phi1 * 0.5)) ^ 2.0) + (cos(phi1) * (0.5 - (cos((lambda1 - lambda2)) / 2.0))))), sqrt((1.0 - (t_0 + (t_1 * ((cos(phi1) * cos(phi2)) * t_1))))))); else tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * (((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))) ^ 2.0)))), sqrt((1.0 - (sin((0.5 * (lambda1 - lambda2))) ^ 2.0))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi1, -7e-24], N[Not[LessEqual[phi1, 1.5e-8]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_1 \leq -7 \cdot 10^{-24} \lor \neg \left(\phi_1 \leq 1.5 \cdot 10^{-8}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\phi_1 \cdot 0.5\right)}^{2} + \cos \phi_1 \cdot \left(0.5 - \frac{\cos \left(\lambda_1 - \lambda_2\right)}{2}\right)}}{\sqrt{1 - \left(t\_0 + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot {\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2}}}{\sqrt{1 - {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}\right)\\
\end{array}
\end{array}
if phi1 < -6.9999999999999993e-24 or 1.49999999999999987e-8 < phi1 Initial program 51.2%
expm1-log1p-u51.1%
div-inv51.1%
metadata-eval51.1%
Applied egg-rr51.1%
Taylor expanded in phi2 around 0 51.6%
unpow251.6%
sin-mult51.7%
Applied egg-rr51.7%
div-sub51.7%
+-inverses51.7%
cos-051.7%
metadata-eval51.7%
count-251.7%
associate-*r*51.7%
metadata-eval51.7%
*-lft-identity51.7%
Simplified51.7%
if -6.9999999999999993e-24 < phi1 < 1.49999999999999987e-8Initial program 79.5%
associate-*l*79.5%
Simplified79.5%
Taylor expanded in phi2 around 0 49.0%
Taylor expanded in phi1 around 0 49.0%
Taylor expanded in phi2 around 0 48.8%
*-commutative45.0%
metadata-eval45.0%
div-inv45.0%
div-sub45.0%
sin-diff45.5%
Applied egg-rr49.3%
Final simplification50.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sqrt (cos phi1)))
(t_3 (sqrt (- 1.0 (+ t_0 (* t_1 (* (* (cos phi1) (cos phi2)) t_1))))))
(t_4 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_5 (sin (* phi1 0.5))))
(if (<= lambda1 -2.7e-300)
(* R (* 2.0 (atan2 (sqrt (+ t_0 t_4)) (sqrt (- 1.0 t_4)))))
(if (<= lambda1 3.4e-26)
(* R (* 2.0 (atan2 (hypot t_5 (* t_2 (sin (* lambda2 -0.5)))) t_3)))
(* R (* 2.0 (atan2 (hypot t_5 (* (sin (* 0.5 lambda1)) t_2)) t_3)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sqrt(cos(phi1));
double t_3 = sqrt((1.0 - (t_0 + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))));
double t_4 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_5 = sin((phi1 * 0.5));
double tmp;
if (lambda1 <= -2.7e-300) {
tmp = R * (2.0 * atan2(sqrt((t_0 + t_4)), sqrt((1.0 - t_4))));
} else if (lambda1 <= 3.4e-26) {
tmp = R * (2.0 * atan2(hypot(t_5, (t_2 * sin((lambda2 * -0.5)))), t_3));
} else {
tmp = R * (2.0 * atan2(hypot(t_5, (sin((0.5 * lambda1)) * t_2)), t_3));
}
return tmp;
}
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.sqrt(Math.cos(phi1));
double t_3 = Math.sqrt((1.0 - (t_0 + (t_1 * ((Math.cos(phi1) * Math.cos(phi2)) * t_1)))));
double t_4 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_5 = Math.sin((phi1 * 0.5));
double tmp;
if (lambda1 <= -2.7e-300) {
tmp = R * (2.0 * Math.atan2(Math.sqrt((t_0 + t_4)), Math.sqrt((1.0 - t_4))));
} else if (lambda1 <= 3.4e-26) {
tmp = R * (2.0 * Math.atan2(Math.hypot(t_5, (t_2 * Math.sin((lambda2 * -0.5)))), t_3));
} else {
tmp = R * (2.0 * Math.atan2(Math.hypot(t_5, (Math.sin((0.5 * lambda1)) * t_2)), t_3));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.sqrt(math.cos(phi1)) t_3 = math.sqrt((1.0 - (t_0 + (t_1 * ((math.cos(phi1) * math.cos(phi2)) * t_1))))) t_4 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_5 = math.sin((phi1 * 0.5)) tmp = 0 if lambda1 <= -2.7e-300: tmp = R * (2.0 * math.atan2(math.sqrt((t_0 + t_4)), math.sqrt((1.0 - t_4)))) elif lambda1 <= 3.4e-26: tmp = R * (2.0 * math.atan2(math.hypot(t_5, (t_2 * math.sin((lambda2 * -0.5)))), t_3)) else: tmp = R * (2.0 * math.atan2(math.hypot(t_5, (math.sin((0.5 * lambda1)) * t_2)), t_3)) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sqrt(cos(phi1)) t_3 = sqrt(Float64(1.0 - Float64(t_0 + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1))))) t_4 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_5 = sin(Float64(phi1 * 0.5)) tmp = 0.0 if (lambda1 <= -2.7e-300) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + t_4)), sqrt(Float64(1.0 - t_4))))); elseif (lambda1 <= 3.4e-26) tmp = Float64(R * Float64(2.0 * atan(hypot(t_5, Float64(t_2 * sin(Float64(lambda2 * -0.5)))), t_3))); else tmp = Float64(R * Float64(2.0 * atan(hypot(t_5, Float64(sin(Float64(0.5 * lambda1)) * t_2)), t_3))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sqrt(cos(phi1)); t_3 = sqrt((1.0 - (t_0 + (t_1 * ((cos(phi1) * cos(phi2)) * t_1))))); t_4 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_5 = sin((phi1 * 0.5)); tmp = 0.0; if (lambda1 <= -2.7e-300) tmp = R * (2.0 * atan2(sqrt((t_0 + t_4)), sqrt((1.0 - t_4)))); elseif (lambda1 <= 3.4e-26) tmp = R * (2.0 * atan2(hypot(t_5, (t_2 * sin((lambda2 * -0.5)))), t_3)); else tmp = R * (2.0 * atan2(hypot(t_5, (sin((0.5 * lambda1)) * t_2)), t_3)); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[Cos[phi1], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 - N[(t$95$0 + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -2.7e-300], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 3.4e-26], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5 ^ 2 + N[(t$95$2 * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5 ^ 2 + N[(N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision] ^ 2], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sqrt{\cos \phi_1}\\
t_3 := \sqrt{1 - \left(t\_0 + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)\right)}\\
t_4 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_5 := \sin \left(\phi_1 \cdot 0.5\right)\\
\mathbf{if}\;\lambda_1 \leq -2.7 \cdot 10^{-300}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 3.4 \cdot 10^{-26}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\mathsf{hypot}\left(t\_5, t\_2 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)}{t\_3}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\mathsf{hypot}\left(t\_5, \sin \left(0.5 \cdot \lambda_1\right) \cdot t\_2\right)}{t\_3}\right)\\
\end{array}
\end{array}
if lambda1 < -2.69999999999999995e-300Initial program 63.8%
associate-*l*63.8%
Simplified63.8%
Taylor expanded in phi2 around 0 50.4%
Taylor expanded in phi1 around 0 39.8%
Taylor expanded in phi2 around 0 40.1%
Taylor expanded in phi1 around 0 40.5%
if -2.69999999999999995e-300 < lambda1 < 3.40000000000000013e-26Initial program 79.0%
expm1-log1p-u78.9%
div-inv78.9%
metadata-eval78.9%
Applied egg-rr78.9%
Taylor expanded in phi2 around 0 60.6%
Taylor expanded in lambda1 around 0 60.5%
+-commutative60.5%
*-commutative60.5%
unpow260.5%
rem-square-sqrt46.9%
unpow246.9%
unswap-sqr46.9%
hypot-define46.9%
*-commutative46.9%
Simplified46.9%
if 3.40000000000000013e-26 < lambda1 Initial program 49.0%
expm1-log1p-u49.0%
div-inv49.0%
metadata-eval49.0%
Applied egg-rr49.0%
Taylor expanded in phi2 around 0 39.1%
Taylor expanded in lambda2 around 0 38.5%
+-commutative38.5%
*-commutative38.5%
unpow238.5%
rem-square-sqrt26.3%
unpow226.3%
unswap-sqr26.3%
hypot-define26.3%
Simplified26.3%
Final simplification38.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (* phi1 0.5)) 2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(sqrt
(+
1.0
(-
(/ (+ (cos (- phi1 phi2)) -1.0) 2.0)
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(sin((phi1 * 0.5)), 2.0) + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), sqrt((1.0 + (((cos((phi1 - phi2)) + -1.0) / 2.0) - (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((sin((phi1 * 0.5d0)) ** 2.0d0) + (cos(phi1) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)))), sqrt((1.0d0 + (((cos((phi1 - phi2)) + (-1.0d0)) / 2.0d0) - (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin((phi1 * 0.5)), 2.0) + (Math.cos(phi1) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)))), Math.sqrt((1.0 + (((Math.cos((phi1 - phi2)) + -1.0) / 2.0) - (t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin((phi1 * 0.5)), 2.0) + (math.cos(phi1) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)))), math.sqrt((1.0 + (((math.cos((phi1 - phi2)) + -1.0) / 2.0) - (t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(phi1 * 0.5)) ^ 2.0) + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), sqrt(Float64(1.0 + Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + -1.0) / 2.0) - Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((sin((phi1 * 0.5)) ^ 2.0) + (cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)))), sqrt((1.0 + (((cos((phi1 - phi2)) + -1.0) / 2.0) - (t_0 * ((cos(phi1) * cos(phi2)) * t_0))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision] / 2.0), $MachinePrecision] - N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\phi_1 \cdot 0.5\right)}^{2} + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 + \left(\frac{\cos \left(\phi_1 - \phi_2\right) + -1}{2} - t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\right)}}\right)
\end{array}
\end{array}
Initial program 63.7%
expm1-log1p-u63.6%
div-inv63.6%
metadata-eval63.6%
Applied egg-rr63.6%
Taylor expanded in phi2 around 0 48.7%
unpow263.7%
sin-mult63.8%
div-inv63.8%
metadata-eval63.8%
div-inv63.8%
metadata-eval63.8%
div-inv63.8%
metadata-eval63.8%
div-inv63.8%
metadata-eval63.8%
Applied egg-rr48.8%
+-inverses63.8%
cos-063.8%
distribute-lft-out63.8%
metadata-eval63.8%
*-rgt-identity63.8%
Simplified48.8%
Final simplification48.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (sin (* phi1 0.5)) 2.0)))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(sin((0.5 * (lambda1 - lambda2))), 2.0) + pow(sin((phi1 * 0.5)), 2.0))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0) + (sin((phi1 * 0.5d0)) ** 2.0d0))), sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0) + Math.pow(Math.sin((phi1 * 0.5)), 2.0))), Math.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) + math.pow(math.sin((phi1 * 0.5)), 2.0))), math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) + (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((sin((0.5 * (lambda1 - lambda2))) ^ 2.0) + (sin((phi1 * 0.5)) ^ 2.0))), sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (t_0 * ((cos(phi1) * cos(phi2)) * t_0))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\sin \left(\phi_1 \cdot 0.5\right)}^{2}}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\right)}}\right)
\end{array}
\end{array}
Initial program 63.7%
expm1-log1p-u63.6%
div-inv63.6%
metadata-eval63.6%
Applied egg-rr63.6%
Taylor expanded in phi2 around 0 48.7%
Taylor expanded in phi1 around 0 38.5%
Final simplification38.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_0))
(sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_0)), sqrt((1.0 - t_0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_0)), sqrt((1.0d0 - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_0)), Math.sqrt((1.0 - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_0)), math.sqrt((1.0 - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_0)), sqrt(Float64(1.0 - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_0)), sqrt((1.0 - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 63.7%
associate-*l*63.7%
Simplified63.7%
Taylor expanded in phi2 around 0 50.5%
Taylor expanded in phi1 around 0 34.5%
Taylor expanded in phi2 around 0 34.6%
Taylor expanded in phi1 around 0 35.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2))))
(*
(atan2
(hypot (sin (* 0.5 (- phi1 phi2))) (* (sin t_0) (sqrt (cos phi1))))
(fabs (cos t_0)))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
return atan2(hypot(sin((0.5 * (phi1 - phi2))), (sin(t_0) * sqrt(cos(phi1)))), fabs(cos(t_0))) * (R * 2.0);
}
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
return Math.atan2(Math.hypot(Math.sin((0.5 * (phi1 - phi2))), (Math.sin(t_0) * Math.sqrt(Math.cos(phi1)))), Math.abs(Math.cos(t_0))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 * (lambda1 - lambda2) return math.atan2(math.hypot(math.sin((0.5 * (phi1 - phi2))), (math.sin(t_0) * math.sqrt(math.cos(phi1)))), math.fabs(math.cos(t_0))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) return Float64(atan(hypot(sin(Float64(0.5 * Float64(phi1 - phi2))), Float64(sin(t_0) * sqrt(cos(phi1)))), abs(cos(t_0))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 * (lambda1 - lambda2); tmp = atan2(hypot(sin((0.5 * (phi1 - phi2))), (sin(t_0) * sqrt(cos(phi1)))), abs(cos(t_0))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] ^ 2 + N[(N[Sin[t$95$0], $MachinePrecision] * N[Sqrt[N[Cos[phi1], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision] / N[Abs[N[Cos[t$95$0], $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
\tan^{-1}_* \frac{\mathsf{hypot}\left(\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right), \sin t\_0 \cdot \sqrt{\cos \phi_1}\right)}{\left|\cos t\_0\right|} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 63.7%
associate-*l*63.7%
Simplified63.7%
Taylor expanded in phi2 around 0 50.5%
Taylor expanded in phi1 around 0 34.5%
Taylor expanded in phi2 around 0 34.6%
Taylor expanded in R around 0 34.6%
Simplified30.1%
Final simplification30.1%
herbie shell --seed 2024163
(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))))))))))