
(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 (* (sin lambda1) (sin lambda2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (/ phi2 2.0)))
(t_3 (+ t_0 (* (cos lambda2) (cos lambda1))))
(t_4 (* (cos phi1) (cos phi2)))
(t_5 (sin (/ phi1 2.0)))
(t_6 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_7 (sqrt (+ (+ 0.5 t_6) (/ (* t_4 (+ -1.0 t_3)) 2.0))))
(t_8 (- 0.5 t_6))
(t_9 (* (cos (/ phi1 2.0)) (sin (/ phi2 2.0)))))
(if (<= lambda1 -4.5e-6)
(*
(atan2
(sqrt
(+ t_8 (/ (* t_4 (- 1.0 (fma (cos lambda2) (cos lambda1) t_0))) 2.0)))
t_7)
(* 2.0 R))
(if (<= lambda1 2e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (fma t_5 t_2 (- 0.0 t_9)) 2.0) (* t_4 (* t_1 t_1))))
(sqrt
(+
1.0
(-
(* t_4 (* t_1 (sin (/ (- lambda1 lambda2) -2.0))))
(pow (- (* t_5 t_2) t_9) 2.0))))))
(* (* 2.0 R) (atan2 (sqrt (+ t_8 (/ (* t_4 (- 1.0 t_3)) 2.0))) t_7))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(lambda1) * sin(lambda2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((phi2 / 2.0));
double t_3 = t_0 + (cos(lambda2) * cos(lambda1));
double t_4 = cos(phi1) * cos(phi2);
double t_5 = sin((phi1 / 2.0));
double t_6 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_7 = sqrt(((0.5 + t_6) + ((t_4 * (-1.0 + t_3)) / 2.0)));
double t_8 = 0.5 - t_6;
double t_9 = cos((phi1 / 2.0)) * sin((phi2 / 2.0));
double tmp;
if (lambda1 <= -4.5e-6) {
tmp = atan2(sqrt((t_8 + ((t_4 * (1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_7) * (2.0 * R);
} else if (lambda1 <= 2e-20) {
tmp = (2.0 * R) * atan2(sqrt((pow(fma(t_5, t_2, (0.0 - t_9)), 2.0) + (t_4 * (t_1 * t_1)))), sqrt((1.0 + ((t_4 * (t_1 * sin(((lambda1 - lambda2) / -2.0)))) - pow(((t_5 * t_2) - t_9), 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt((t_8 + ((t_4 * (1.0 - t_3)) / 2.0))), t_7);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(lambda1) * sin(lambda2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(phi2 / 2.0)) t_3 = Float64(t_0 + Float64(cos(lambda2) * cos(lambda1))) t_4 = Float64(cos(phi1) * cos(phi2)) t_5 = sin(Float64(phi1 / 2.0)) t_6 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_7 = sqrt(Float64(Float64(0.5 + t_6) + Float64(Float64(t_4 * Float64(-1.0 + t_3)) / 2.0))) t_8 = Float64(0.5 - t_6) t_9 = Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0))) tmp = 0.0 if (lambda1 <= -4.5e-6) tmp = Float64(atan(sqrt(Float64(t_8 + Float64(Float64(t_4 * Float64(1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_7) * Float64(2.0 * R)); elseif (lambda1 <= 2e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64((fma(t_5, t_2, Float64(0.0 - t_9)) ^ 2.0) + Float64(t_4 * Float64(t_1 * t_1)))), sqrt(Float64(1.0 + Float64(Float64(t_4 * Float64(t_1 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - (Float64(Float64(t_5 * t_2) - t_9) ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_8 + Float64(Float64(t_4 * Float64(1.0 - t_3)) / 2.0))), t_7)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sqrt[N[(N[(0.5 + t$95$6), $MachinePrecision] + N[(N[(t$95$4 * N[(-1.0 + t$95$3), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$8 = N[(0.5 - t$95$6), $MachinePrecision]}, Block[{t$95$9 = N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -4.5e-6], N[(N[ArcTan[N[Sqrt[N[(t$95$8 + N[(N[(t$95$4 * N[(1.0 - N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$7], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 2e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$5 * t$95$2 + N[(0.0 - t$95$9), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$4 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$4 * N[(t$95$1 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(t$95$5 * t$95$2), $MachinePrecision] - t$95$9), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$8 + N[(N[(t$95$4 * N[(1.0 - t$95$3), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$7], $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \lambda_1 \cdot \sin \lambda_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(\frac{\phi_2}{2}\right)\\
t_3 := t\_0 + \cos \lambda_2 \cdot \cos \lambda_1\\
t_4 := \cos \phi_1 \cdot \cos \phi_2\\
t_5 := \sin \left(\frac{\phi_1}{2}\right)\\
t_6 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_7 := \sqrt{\left(0.5 + t\_6\right) + \frac{t\_4 \cdot \left(-1 + t\_3\right)}{2}}\\
t_8 := 0.5 - t\_6\\
t_9 := \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -4.5 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_8 + \frac{t\_4 \cdot \left(1 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, t\_0\right)\right)}{2}}}{t\_7} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\lambda_1 \leq 2 \cdot 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_5, t\_2, 0 - t\_9\right)\right)}^{2} + t\_4 \cdot \left(t\_1 \cdot t\_1\right)}}{\sqrt{1 + \left(t\_4 \cdot \left(t\_1 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - {\left(t\_5 \cdot t\_2 - t\_9\right)}^{2}\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_8 + \frac{t\_4 \cdot \left(1 - t\_3\right)}{2}}}{t\_7}\\
\end{array}
\end{array}
if lambda1 < -4.50000000000000011e-6Initial program 46.2%
Applied egg-rr46.2%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.4%
Applied egg-rr47.4%
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6482.8%
Applied egg-rr82.8%
if -4.50000000000000011e-6 < lambda1 < 1.99999999999999989e-20Initial program 78.5%
Simplified78.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6479.3%
Applied egg-rr79.3%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6499.2%
Applied egg-rr99.2%
if 1.99999999999999989e-20 < lambda1 Initial program 47.0%
Applied egg-rr47.0%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.8%
Applied egg-rr47.8%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6476.0%
Applied egg-rr76.0%
Final simplification87.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (* 0.5 (- lambda1 lambda2))))
(t_2
(+ (* (sin lambda1) (sin lambda2)) (* (cos lambda2) (cos lambda1))))
(t_3 (* (cos phi1) (cos phi2)))
(t_4 (/ (- phi1 phi2) 2.0))
(t_5 (sin (* 0.5 phi2)))
(t_6 (* 0.5 (cos (* 2.0 t_4)))))
(if (<= (+ (pow (sin t_4) 2.0) (* t_0 (* t_3 t_0))) 2e-5)
(*
(* 2.0 R)
(atan2
(sqrt
(+
(* t_3 (pow t_1 2.0))
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* 0.5 phi1)) t_5))
2.0)))
(sqrt
(-
(+
1.0
(*
(cos phi1)
(* t_1 (* (cos phi2) (sin (* (- lambda1 lambda2) -0.5))))))
(pow t_5 2.0)))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (- 0.5 t_6) (/ (* t_3 (- 1.0 t_2)) 2.0)))
(sqrt (+ (+ 0.5 t_6) (/ (* t_3 (+ -1.0 t_2)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sin((0.5 * (lambda1 - lambda2)));
double t_2 = (sin(lambda1) * sin(lambda2)) + (cos(lambda2) * cos(lambda1));
double t_3 = cos(phi1) * cos(phi2);
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = sin((0.5 * phi2));
double t_6 = 0.5 * cos((2.0 * t_4));
double tmp;
if ((pow(sin(t_4), 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5) {
tmp = (2.0 * R) * atan2(sqrt(((t_3 * pow(t_1, 2.0)) + pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * t_5)), 2.0))), sqrt(((1.0 + (cos(phi1) * (t_1 * (cos(phi2) * sin(((lambda1 - lambda2) * -0.5)))))) - pow(t_5, 2.0))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = sin((0.5d0 * (lambda1 - lambda2)))
t_2 = (sin(lambda1) * sin(lambda2)) + (cos(lambda2) * cos(lambda1))
t_3 = cos(phi1) * cos(phi2)
t_4 = (phi1 - phi2) / 2.0d0
t_5 = sin((0.5d0 * phi2))
t_6 = 0.5d0 * cos((2.0d0 * t_4))
if (((sin(t_4) ** 2.0d0) + (t_0 * (t_3 * t_0))) <= 2d-5) then
tmp = (2.0d0 * r) * atan2(sqrt(((t_3 * (t_1 ** 2.0d0)) + (((sin((0.5d0 * phi1)) * cos((0.5d0 * phi2))) - (cos((0.5d0 * phi1)) * t_5)) ** 2.0d0))), sqrt(((1.0d0 + (cos(phi1) * (t_1 * (cos(phi2) * sin(((lambda1 - lambda2) * (-0.5d0))))))) - (t_5 ** 2.0d0))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((0.5d0 - t_6) + ((t_3 * (1.0d0 - t_2)) / 2.0d0))), sqrt(((0.5d0 + t_6) + ((t_3 * ((-1.0d0) + t_2)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.sin((0.5 * (lambda1 - lambda2)));
double t_2 = (Math.sin(lambda1) * Math.sin(lambda2)) + (Math.cos(lambda2) * Math.cos(lambda1));
double t_3 = Math.cos(phi1) * Math.cos(phi2);
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = Math.sin((0.5 * phi2));
double t_6 = 0.5 * Math.cos((2.0 * t_4));
double tmp;
if ((Math.pow(Math.sin(t_4), 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_3 * Math.pow(t_1, 2.0)) + Math.pow(((Math.sin((0.5 * phi1)) * Math.cos((0.5 * phi2))) - (Math.cos((0.5 * phi1)) * t_5)), 2.0))), Math.sqrt(((1.0 + (Math.cos(phi1) * (t_1 * (Math.cos(phi2) * Math.sin(((lambda1 - lambda2) * -0.5)))))) - Math.pow(t_5, 2.0))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), Math.sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.sin((0.5 * (lambda1 - lambda2))) t_2 = (math.sin(lambda1) * math.sin(lambda2)) + (math.cos(lambda2) * math.cos(lambda1)) t_3 = math.cos(phi1) * math.cos(phi2) t_4 = (phi1 - phi2) / 2.0 t_5 = math.sin((0.5 * phi2)) t_6 = 0.5 * math.cos((2.0 * t_4)) tmp = 0 if (math.pow(math.sin(t_4), 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_3 * math.pow(t_1, 2.0)) + math.pow(((math.sin((0.5 * phi1)) * math.cos((0.5 * phi2))) - (math.cos((0.5 * phi1)) * t_5)), 2.0))), math.sqrt(((1.0 + (math.cos(phi1) * (t_1 * (math.cos(phi2) * math.sin(((lambda1 - lambda2) * -0.5)))))) - math.pow(t_5, 2.0)))) else: tmp = (2.0 * R) * math.atan2(math.sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), math.sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_2 = Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(cos(lambda2) * cos(lambda1))) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = Float64(Float64(phi1 - phi2) / 2.0) t_5 = sin(Float64(0.5 * phi2)) t_6 = Float64(0.5 * cos(Float64(2.0 * t_4))) tmp = 0.0 if (Float64((sin(t_4) ^ 2.0) + Float64(t_0 * Float64(t_3 * t_0))) <= 2e-5) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_3 * (t_1 ^ 2.0)) + (Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(0.5 * phi1)) * t_5)) ^ 2.0))), sqrt(Float64(Float64(1.0 + Float64(cos(phi1) * Float64(t_1 * Float64(cos(phi2) * sin(Float64(Float64(lambda1 - lambda2) * -0.5)))))) - (t_5 ^ 2.0))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(0.5 - t_6) + Float64(Float64(t_3 * Float64(1.0 - t_2)) / 2.0))), sqrt(Float64(Float64(0.5 + t_6) + Float64(Float64(t_3 * Float64(-1.0 + t_2)) / 2.0))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = sin((0.5 * (lambda1 - lambda2))); t_2 = (sin(lambda1) * sin(lambda2)) + (cos(lambda2) * cos(lambda1)); t_3 = cos(phi1) * cos(phi2); t_4 = (phi1 - phi2) / 2.0; t_5 = sin((0.5 * phi2)); t_6 = 0.5 * cos((2.0 * t_4)); tmp = 0.0; if (((sin(t_4) ^ 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5) tmp = (2.0 * R) * atan2(sqrt(((t_3 * (t_1 ^ 2.0)) + (((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * t_5)) ^ 2.0))), sqrt(((1.0 + (cos(phi1) * (t_1 * (cos(phi2) * sin(((lambda1 - lambda2) * -0.5)))))) - (t_5 ^ 2.0)))); else tmp = (2.0 * R) * atan2(sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$3 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2e-5], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$3 * N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$1 * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[t$95$5, 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$6), $MachinePrecision] + N[(N[(t$95$3 * N[(1.0 - t$95$2), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$6), $MachinePrecision] + N[(N[(t$95$3 * N[(-1.0 + t$95$2), $MachinePrecision]), $MachinePrecision] / 2.0), $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(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := \sin \lambda_1 \cdot \sin \lambda_2 + \cos \lambda_2 \cdot \cos \lambda_1\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := \frac{\phi_1 - \phi_2}{2}\\
t_5 := \sin \left(0.5 \cdot \phi_2\right)\\
t_6 := 0.5 \cdot \cos \left(2 \cdot t\_4\right)\\
\mathbf{if}\;{\sin t\_4}^{2} + t\_0 \cdot \left(t\_3 \cdot t\_0\right) \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 \cdot {t\_1}^{2} + {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot t\_5\right)}^{2}}}{\sqrt{\left(1 + \cos \phi_1 \cdot \left(t\_1 \cdot \left(\cos \phi_2 \cdot \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right)\right)\right) - {t\_5}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_6\right) + \frac{t\_3 \cdot \left(1 - t\_2\right)}{2}}}{\sqrt{\left(0.5 + t\_6\right) + \frac{t\_3 \cdot \left(-1 + t\_2\right)}{2}}}\\
\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))))) < 2.00000000000000016e-5Initial program 68.4%
Simplified68.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6468.4%
Applied egg-rr68.4%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6483.1%
Applied egg-rr83.1%
Taylor expanded in phi1 around 0
Simplified83.0%
Taylor expanded in phi1 around 0
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6475.1%
Simplified75.1%
if 2.00000000000000016e-5 < (+.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 58.7%
Applied egg-rr58.7%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6459.3%
Applied egg-rr59.3%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6479.5%
Applied egg-rr79.5%
Final simplification79.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (* 0.5 (- lambda1 lambda2))))
(t_2
(+ (* (sin lambda1) (sin lambda2)) (* (cos lambda2) (cos lambda1))))
(t_3 (* (cos phi1) (cos phi2)))
(t_4 (/ (- phi1 phi2) 2.0))
(t_5 (sin (* 0.5 phi2)))
(t_6 (* 0.5 (cos (* 2.0 t_4)))))
(if (<= (+ (pow (sin t_4) 2.0) (* t_0 (* t_3 t_0))) 2e-5)
(*
(* 2.0 R)
(atan2
(sqrt
(+
(* t_3 (pow t_1 2.0))
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* 0.5 phi1)) t_5))
2.0)))
(sqrt
(+
1.0
(-
(* t_1 (* (cos phi2) (sin (* (- lambda1 lambda2) -0.5))))
(pow t_5 2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (- 0.5 t_6) (/ (* t_3 (- 1.0 t_2)) 2.0)))
(sqrt (+ (+ 0.5 t_6) (/ (* t_3 (+ -1.0 t_2)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sin((0.5 * (lambda1 - lambda2)));
double t_2 = (sin(lambda1) * sin(lambda2)) + (cos(lambda2) * cos(lambda1));
double t_3 = cos(phi1) * cos(phi2);
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = sin((0.5 * phi2));
double t_6 = 0.5 * cos((2.0 * t_4));
double tmp;
if ((pow(sin(t_4), 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5) {
tmp = (2.0 * R) * atan2(sqrt(((t_3 * pow(t_1, 2.0)) + pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * t_5)), 2.0))), sqrt((1.0 + ((t_1 * (cos(phi2) * sin(((lambda1 - lambda2) * -0.5)))) - pow(t_5, 2.0)))));
} else {
tmp = (2.0 * R) * atan2(sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = sin((0.5d0 * (lambda1 - lambda2)))
t_2 = (sin(lambda1) * sin(lambda2)) + (cos(lambda2) * cos(lambda1))
t_3 = cos(phi1) * cos(phi2)
t_4 = (phi1 - phi2) / 2.0d0
t_5 = sin((0.5d0 * phi2))
t_6 = 0.5d0 * cos((2.0d0 * t_4))
if (((sin(t_4) ** 2.0d0) + (t_0 * (t_3 * t_0))) <= 2d-5) then
tmp = (2.0d0 * r) * atan2(sqrt(((t_3 * (t_1 ** 2.0d0)) + (((sin((0.5d0 * phi1)) * cos((0.5d0 * phi2))) - (cos((0.5d0 * phi1)) * t_5)) ** 2.0d0))), sqrt((1.0d0 + ((t_1 * (cos(phi2) * sin(((lambda1 - lambda2) * (-0.5d0))))) - (t_5 ** 2.0d0)))))
else
tmp = (2.0d0 * r) * atan2(sqrt(((0.5d0 - t_6) + ((t_3 * (1.0d0 - t_2)) / 2.0d0))), sqrt(((0.5d0 + t_6) + ((t_3 * ((-1.0d0) + t_2)) / 2.0d0))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.sin((0.5 * (lambda1 - lambda2)));
double t_2 = (Math.sin(lambda1) * Math.sin(lambda2)) + (Math.cos(lambda2) * Math.cos(lambda1));
double t_3 = Math.cos(phi1) * Math.cos(phi2);
double t_4 = (phi1 - phi2) / 2.0;
double t_5 = Math.sin((0.5 * phi2));
double t_6 = 0.5 * Math.cos((2.0 * t_4));
double tmp;
if ((Math.pow(Math.sin(t_4), 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((t_3 * Math.pow(t_1, 2.0)) + Math.pow(((Math.sin((0.5 * phi1)) * Math.cos((0.5 * phi2))) - (Math.cos((0.5 * phi1)) * t_5)), 2.0))), Math.sqrt((1.0 + ((t_1 * (Math.cos(phi2) * Math.sin(((lambda1 - lambda2) * -0.5)))) - Math.pow(t_5, 2.0)))));
} else {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), Math.sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.sin((0.5 * (lambda1 - lambda2))) t_2 = (math.sin(lambda1) * math.sin(lambda2)) + (math.cos(lambda2) * math.cos(lambda1)) t_3 = math.cos(phi1) * math.cos(phi2) t_4 = (phi1 - phi2) / 2.0 t_5 = math.sin((0.5 * phi2)) t_6 = 0.5 * math.cos((2.0 * t_4)) tmp = 0 if (math.pow(math.sin(t_4), 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5: tmp = (2.0 * R) * math.atan2(math.sqrt(((t_3 * math.pow(t_1, 2.0)) + math.pow(((math.sin((0.5 * phi1)) * math.cos((0.5 * phi2))) - (math.cos((0.5 * phi1)) * t_5)), 2.0))), math.sqrt((1.0 + ((t_1 * (math.cos(phi2) * math.sin(((lambda1 - lambda2) * -0.5)))) - math.pow(t_5, 2.0))))) else: tmp = (2.0 * R) * math.atan2(math.sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), math.sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_2 = Float64(Float64(sin(lambda1) * sin(lambda2)) + Float64(cos(lambda2) * cos(lambda1))) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = Float64(Float64(phi1 - phi2) / 2.0) t_5 = sin(Float64(0.5 * phi2)) t_6 = Float64(0.5 * cos(Float64(2.0 * t_4))) tmp = 0.0 if (Float64((sin(t_4) ^ 2.0) + Float64(t_0 * Float64(t_3 * t_0))) <= 2e-5) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_3 * (t_1 ^ 2.0)) + (Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(0.5 * phi1)) * t_5)) ^ 2.0))), sqrt(Float64(1.0 + Float64(Float64(t_1 * Float64(cos(phi2) * sin(Float64(Float64(lambda1 - lambda2) * -0.5)))) - (t_5 ^ 2.0)))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(0.5 - t_6) + Float64(Float64(t_3 * Float64(1.0 - t_2)) / 2.0))), sqrt(Float64(Float64(0.5 + t_6) + Float64(Float64(t_3 * Float64(-1.0 + t_2)) / 2.0))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = sin((0.5 * (lambda1 - lambda2))); t_2 = (sin(lambda1) * sin(lambda2)) + (cos(lambda2) * cos(lambda1)); t_3 = cos(phi1) * cos(phi2); t_4 = (phi1 - phi2) / 2.0; t_5 = sin((0.5 * phi2)); t_6 = 0.5 * cos((2.0 * t_4)); tmp = 0.0; if (((sin(t_4) ^ 2.0) + (t_0 * (t_3 * t_0))) <= 2e-5) tmp = (2.0 * R) * atan2(sqrt(((t_3 * (t_1 ^ 2.0)) + (((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * t_5)) ^ 2.0))), sqrt((1.0 + ((t_1 * (cos(phi2) * sin(((lambda1 - lambda2) * -0.5)))) - (t_5 ^ 2.0))))); else tmp = (2.0 * R) * atan2(sqrt(((0.5 - t_6) + ((t_3 * (1.0 - t_2)) / 2.0))), sqrt(((0.5 + t_6) + ((t_3 * (-1.0 + t_2)) / 2.0)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$3 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2e-5], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$3 * N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$1 * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[t$95$5, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$6), $MachinePrecision] + N[(N[(t$95$3 * N[(1.0 - t$95$2), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$6), $MachinePrecision] + N[(N[(t$95$3 * N[(-1.0 + t$95$2), $MachinePrecision]), $MachinePrecision] / 2.0), $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(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := \sin \lambda_1 \cdot \sin \lambda_2 + \cos \lambda_2 \cdot \cos \lambda_1\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := \frac{\phi_1 - \phi_2}{2}\\
t_5 := \sin \left(0.5 \cdot \phi_2\right)\\
t_6 := 0.5 \cdot \cos \left(2 \cdot t\_4\right)\\
\mathbf{if}\;{\sin t\_4}^{2} + t\_0 \cdot \left(t\_3 \cdot t\_0\right) \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 \cdot {t\_1}^{2} + {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot t\_5\right)}^{2}}}{\sqrt{1 + \left(t\_1 \cdot \left(\cos \phi_2 \cdot \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right) - {t\_5}^{2}\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_6\right) + \frac{t\_3 \cdot \left(1 - t\_2\right)}{2}}}{\sqrt{\left(0.5 + t\_6\right) + \frac{t\_3 \cdot \left(-1 + t\_2\right)}{2}}}\\
\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))))) < 2.00000000000000016e-5Initial program 68.4%
Simplified68.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6468.4%
Applied egg-rr68.4%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6483.1%
Applied egg-rr83.1%
Taylor expanded in phi1 around 0
Simplified83.0%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified75.1%
if 2.00000000000000016e-5 < (+.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 58.7%
Applied egg-rr58.7%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6459.3%
Applied egg-rr59.3%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6479.5%
Applied egg-rr79.5%
Final simplification79.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin lambda1) (sin lambda2)))
(t_1 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_2 (- 0.5 t_1))
(t_3 (* (cos phi1) (cos phi2)))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (+ t_0 (* (cos lambda2) (cos lambda1))))
(t_6 (sqrt (+ (+ 0.5 t_1) (/ (* t_3 (+ -1.0 t_5)) 2.0))))
(t_7
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)))
(if (<= lambda1 -2.65e-5)
(*
(atan2
(sqrt
(+ t_2 (/ (* t_3 (- 1.0 (fma (cos lambda2) (cos lambda1) t_0))) 2.0)))
t_6)
(* 2.0 R))
(if (<= lambda1 2e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_3 (* t_4 t_4)) t_7))
(sqrt
(+ 1.0 (- (* t_3 (* t_4 (sin (/ (- lambda1 lambda2) -2.0)))) t_7)))))
(* (* 2.0 R) (atan2 (sqrt (+ t_2 (/ (* t_3 (- 1.0 t_5)) 2.0))) t_6))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(lambda1) * sin(lambda2);
double t_1 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_2 = 0.5 - t_1;
double t_3 = cos(phi1) * cos(phi2);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = t_0 + (cos(lambda2) * cos(lambda1));
double t_6 = sqrt(((0.5 + t_1) + ((t_3 * (-1.0 + t_5)) / 2.0)));
double t_7 = pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0);
double tmp;
if (lambda1 <= -2.65e-5) {
tmp = atan2(sqrt((t_2 + ((t_3 * (1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_6) * (2.0 * R);
} else if (lambda1 <= 2e-20) {
tmp = (2.0 * R) * atan2(sqrt(((t_3 * (t_4 * t_4)) + t_7)), sqrt((1.0 + ((t_3 * (t_4 * sin(((lambda1 - lambda2) / -2.0)))) - t_7))));
} else {
tmp = (2.0 * R) * atan2(sqrt((t_2 + ((t_3 * (1.0 - t_5)) / 2.0))), t_6);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(lambda1) * sin(lambda2)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_2 = Float64(0.5 - t_1) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64(t_0 + Float64(cos(lambda2) * cos(lambda1))) t_6 = sqrt(Float64(Float64(0.5 + t_1) + Float64(Float64(t_3 * Float64(-1.0 + t_5)) / 2.0))) t_7 = 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 tmp = 0.0 if (lambda1 <= -2.65e-5) tmp = Float64(atan(sqrt(Float64(t_2 + Float64(Float64(t_3 * Float64(1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_6) * Float64(2.0 * R)); elseif (lambda1 <= 2e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_3 * Float64(t_4 * t_4)) + t_7)), sqrt(Float64(1.0 + Float64(Float64(t_3 * Float64(t_4 * sin(Float64(Float64(lambda1 - lambda2) / -2.0)))) - t_7))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_2 + Float64(Float64(t_3 * Float64(1.0 - t_5)) / 2.0))), t_6)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$0 + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[(t$95$3 * N[(-1.0 + t$95$5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = 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]}, If[LessEqual[lambda1, -2.65e-5], N[(N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(t$95$3 * N[(1.0 - N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 2e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$3 * N[(t$95$4 * t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(t$95$3 * N[(t$95$4 * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$7), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(t$95$3 * N[(1.0 - t$95$5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \lambda_1 \cdot \sin \lambda_2\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_2 := 0.5 - t\_1\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := t\_0 + \cos \lambda_2 \cdot \cos \lambda_1\\
t_6 := \sqrt{\left(0.5 + t\_1\right) + \frac{t\_3 \cdot \left(-1 + t\_5\right)}{2}}\\
t_7 := {\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}\\
\mathbf{if}\;\lambda_1 \leq -2.65 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_2 + \frac{t\_3 \cdot \left(1 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, t\_0\right)\right)}{2}}}{t\_6} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\lambda_1 \leq 2 \cdot 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 \cdot \left(t\_4 \cdot t\_4\right) + t\_7}}{\sqrt{1 + \left(t\_3 \cdot \left(t\_4 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right)\right) - t\_7\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \frac{t\_3 \cdot \left(1 - t\_5\right)}{2}}}{t\_6}\\
\end{array}
\end{array}
if lambda1 < -2.65e-5Initial program 46.2%
Applied egg-rr46.2%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.4%
Applied egg-rr47.4%
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6482.8%
Applied egg-rr82.8%
if -2.65e-5 < lambda1 < 1.99999999999999989e-20Initial program 78.5%
Simplified78.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6479.3%
Applied egg-rr79.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6499.2%
Applied egg-rr99.2%
if 1.99999999999999989e-20 < lambda1 Initial program 47.0%
Applied egg-rr47.0%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.8%
Applied egg-rr47.8%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6476.0%
Applied egg-rr76.0%
Final simplification87.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin lambda1) (sin lambda2)))
(t_1 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_2 (- 0.5 t_1))
(t_3 (* (cos phi1) (cos phi2)))
(t_4 (sin (* 0.5 (- lambda1 lambda2))))
(t_5 (+ t_0 (* (cos lambda2) (cos lambda1))))
(t_6 (sqrt (+ (+ 0.5 t_1) (/ (* t_3 (+ -1.0 t_5)) 2.0))))
(t_7
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(if (<= lambda1 -0.00027)
(*
(atan2
(sqrt
(+ t_2 (/ (* t_3 (- 1.0 (fma (cos lambda2) (cos lambda1) t_0))) 2.0)))
t_6)
(* 2.0 R))
(if (<= lambda1 2e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_3 (pow t_4 2.0)) t_7))
(sqrt
(-
(+
1.0
(*
(cos phi1)
(* t_4 (* (cos phi2) (sin (* (- lambda1 lambda2) -0.5))))))
t_7))))
(* (* 2.0 R) (atan2 (sqrt (+ t_2 (/ (* t_3 (- 1.0 t_5)) 2.0))) t_6))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(lambda1) * sin(lambda2);
double t_1 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_2 = 0.5 - t_1;
double t_3 = cos(phi1) * cos(phi2);
double t_4 = sin((0.5 * (lambda1 - lambda2)));
double t_5 = t_0 + (cos(lambda2) * cos(lambda1));
double t_6 = sqrt(((0.5 + t_1) + ((t_3 * (-1.0 + t_5)) / 2.0)));
double t_7 = pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0);
double tmp;
if (lambda1 <= -0.00027) {
tmp = atan2(sqrt((t_2 + ((t_3 * (1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_6) * (2.0 * R);
} else if (lambda1 <= 2e-20) {
tmp = (2.0 * R) * atan2(sqrt(((t_3 * pow(t_4, 2.0)) + t_7)), sqrt(((1.0 + (cos(phi1) * (t_4 * (cos(phi2) * sin(((lambda1 - lambda2) * -0.5)))))) - t_7)));
} else {
tmp = (2.0 * R) * atan2(sqrt((t_2 + ((t_3 * (1.0 - t_5)) / 2.0))), t_6);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(lambda1) * sin(lambda2)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_2 = Float64(0.5 - t_1) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_5 = Float64(t_0 + Float64(cos(lambda2) * cos(lambda1))) t_6 = sqrt(Float64(Float64(0.5 + t_1) + Float64(Float64(t_3 * Float64(-1.0 + t_5)) / 2.0))) t_7 = Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0 tmp = 0.0 if (lambda1 <= -0.00027) tmp = Float64(atan(sqrt(Float64(t_2 + Float64(Float64(t_3 * Float64(1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_6) * Float64(2.0 * R)); elseif (lambda1 <= 2e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_3 * (t_4 ^ 2.0)) + t_7)), sqrt(Float64(Float64(1.0 + Float64(cos(phi1) * Float64(t_4 * Float64(cos(phi2) * sin(Float64(Float64(lambda1 - lambda2) * -0.5)))))) - t_7)))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_2 + Float64(Float64(t_3 * Float64(1.0 - t_5)) / 2.0))), t_6)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$0 + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[(t$95$3 * N[(-1.0 + t$95$5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[lambda1, -0.00027], N[(N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(t$95$3 * N[(1.0 - N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 2e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$3 * N[Power[t$95$4, 2.0], $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$4 * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$7), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[(t$95$3 * N[(1.0 - t$95$5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \lambda_1 \cdot \sin \lambda_2\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_2 := 0.5 - t\_1\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_5 := t\_0 + \cos \lambda_2 \cdot \cos \lambda_1\\
t_6 := \sqrt{\left(0.5 + t\_1\right) + \frac{t\_3 \cdot \left(-1 + t\_5\right)}{2}}\\
t_7 := {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\lambda_1 \leq -0.00027:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_2 + \frac{t\_3 \cdot \left(1 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, t\_0\right)\right)}{2}}}{t\_6} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\lambda_1 \leq 2 \cdot 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 \cdot {t\_4}^{2} + t\_7}}{\sqrt{\left(1 + \cos \phi_1 \cdot \left(t\_4 \cdot \left(\cos \phi_2 \cdot \sin \left(\left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right)\right)\right) - t\_7}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \frac{t\_3 \cdot \left(1 - t\_5\right)}{2}}}{t\_6}\\
\end{array}
\end{array}
if lambda1 < -2.70000000000000003e-4Initial program 46.2%
Applied egg-rr46.2%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.4%
Applied egg-rr47.4%
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6482.8%
Applied egg-rr82.8%
if -2.70000000000000003e-4 < lambda1 < 1.99999999999999989e-20Initial program 78.5%
Simplified78.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6479.3%
Applied egg-rr79.3%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6499.2%
Applied egg-rr99.2%
Taylor expanded in phi1 around 0
Simplified99.1%
if 1.99999999999999989e-20 < lambda1 Initial program 47.0%
Applied egg-rr47.0%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.8%
Applied egg-rr47.8%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6476.0%
Applied egg-rr76.0%
Final simplification87.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin lambda1) (sin lambda2)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_3 (- 0.5 t_2))
(t_4 (+ t_0 (* (cos lambda2) (cos lambda1))))
(t_5 (sqrt (+ (+ 0.5 t_2) (/ (* t_1 (+ -1.0 t_4)) 2.0))))
(t_6
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(if (<= lambda1 -4.5e-6)
(*
(atan2
(sqrt
(+ t_3 (/ (* t_1 (- 1.0 (fma (cos lambda2) (cos lambda1) t_0))) 2.0)))
t_5)
(* 2.0 R))
(if (<= lambda1 2e-20)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)) t_6))
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* (* (cos phi2) (sin (* lambda2 -0.5))) (sin (* 0.5 lambda2))))
t_6)))))
(* (* 2.0 R) (atan2 (sqrt (+ t_3 (/ (* t_1 (- 1.0 t_4)) 2.0))) t_5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(lambda1) * sin(lambda2);
double t_1 = cos(phi1) * cos(phi2);
double t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_3 = 0.5 - t_2;
double t_4 = t_0 + (cos(lambda2) * cos(lambda1));
double t_5 = sqrt(((0.5 + t_2) + ((t_1 * (-1.0 + t_4)) / 2.0)));
double t_6 = pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0);
double tmp;
if (lambda1 <= -4.5e-6) {
tmp = atan2(sqrt((t_3 + ((t_1 * (1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_5) * (2.0 * R);
} else if (lambda1 <= 2e-20) {
tmp = (2.0 * R) * atan2(sqrt(((t_1 * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_6)), sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((lambda2 * -0.5))) * sin((0.5 * lambda2)))) - t_6))));
} else {
tmp = (2.0 * R) * atan2(sqrt((t_3 + ((t_1 * (1.0 - t_4)) / 2.0))), t_5);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(lambda1) * sin(lambda2)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_3 = Float64(0.5 - t_2) t_4 = Float64(t_0 + Float64(cos(lambda2) * cos(lambda1))) t_5 = sqrt(Float64(Float64(0.5 + t_2) + Float64(Float64(t_1 * Float64(-1.0 + t_4)) / 2.0))) t_6 = Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0 tmp = 0.0 if (lambda1 <= -4.5e-6) tmp = Float64(atan(sqrt(Float64(t_3 + Float64(Float64(t_1 * Float64(1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_5) * Float64(2.0 * R)); elseif (lambda1 <= 2e-20) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_1 * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + t_6)), sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(Float64(cos(phi2) * sin(Float64(lambda2 * -0.5))) * sin(Float64(0.5 * lambda2)))) - t_6))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_3 + Float64(Float64(t_1 * Float64(1.0 - t_4)) / 2.0))), t_5)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$0 + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] + N[(N[(t$95$1 * N[(-1.0 + t$95$4), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[lambda1, -4.5e-6], N[(N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[(t$95$1 * N[(1.0 - N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 2e-20], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[(t$95$1 * N[(1.0 - t$95$4), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \lambda_1 \cdot \sin \lambda_2\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_3 := 0.5 - t\_2\\
t_4 := t\_0 + \cos \lambda_2 \cdot \cos \lambda_1\\
t_5 := \sqrt{\left(0.5 + t\_2\right) + \frac{t\_1 \cdot \left(-1 + t\_4\right)}{2}}\\
t_6 := {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\lambda_1 \leq -4.5 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_3 + \frac{t\_1 \cdot \left(1 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, t\_0\right)\right)}{2}}}{t\_5} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\lambda_1 \leq 2 \cdot 10^{-20}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + t\_6}}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\left(\cos \phi_2 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right) - t\_6\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + \frac{t\_1 \cdot \left(1 - t\_4\right)}{2}}}{t\_5}\\
\end{array}
\end{array}
if lambda1 < -4.50000000000000011e-6Initial program 46.2%
Applied egg-rr46.2%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.4%
Applied egg-rr47.4%
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6482.8%
Applied egg-rr82.8%
if -4.50000000000000011e-6 < lambda1 < 1.99999999999999989e-20Initial program 78.5%
Simplified78.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6479.3%
Applied egg-rr79.3%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6499.2%
Applied egg-rr99.2%
Taylor expanded in phi1 around 0
Simplified99.1%
Taylor expanded in lambda1 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified99.0%
if 1.99999999999999989e-20 < lambda1 Initial program 47.0%
Applied egg-rr47.0%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.8%
Applied egg-rr47.8%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6476.0%
Applied egg-rr76.0%
Final simplification87.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin lambda1) (sin lambda2)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(t_3 (- 0.5 t_2))
(t_4 (+ t_0 (* (cos lambda2) (cos lambda1))))
(t_5 (sqrt (+ (+ 0.5 t_2) (/ (* t_1 (+ -1.0 t_4)) 2.0))))
(t_6
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(if (<= lambda2 -8.4e-10)
(*
(atan2
(sqrt
(+ t_3 (/ (* t_1 (- 1.0 (fma (cos lambda2) (cos lambda1) t_0))) 2.0)))
t_5)
(* 2.0 R))
(if (<= lambda2 6.5e-16)
(*
(* 2.0 R)
(atan2
(sqrt (+ (* t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)) t_6))
(sqrt
(+
1.0
(-
(*
(cos phi1)
(* (* (cos phi2) (sin (* lambda1 -0.5))) (sin (* lambda1 0.5))))
t_6)))))
(* (* 2.0 R) (atan2 (sqrt (+ t_3 (/ (* t_1 (- 1.0 t_4)) 2.0))) t_5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(lambda1) * sin(lambda2);
double t_1 = cos(phi1) * cos(phi2);
double t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
double t_3 = 0.5 - t_2;
double t_4 = t_0 + (cos(lambda2) * cos(lambda1));
double t_5 = sqrt(((0.5 + t_2) + ((t_1 * (-1.0 + t_4)) / 2.0)));
double t_6 = pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0);
double tmp;
if (lambda2 <= -8.4e-10) {
tmp = atan2(sqrt((t_3 + ((t_1 * (1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_5) * (2.0 * R);
} else if (lambda2 <= 6.5e-16) {
tmp = (2.0 * R) * atan2(sqrt(((t_1 * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_6)), sqrt((1.0 + ((cos(phi1) * ((cos(phi2) * sin((lambda1 * -0.5))) * sin((lambda1 * 0.5)))) - t_6))));
} else {
tmp = (2.0 * R) * atan2(sqrt((t_3 + ((t_1 * (1.0 - t_4)) / 2.0))), t_5);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(lambda1) * sin(lambda2)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) t_3 = Float64(0.5 - t_2) t_4 = Float64(t_0 + Float64(cos(lambda2) * cos(lambda1))) t_5 = sqrt(Float64(Float64(0.5 + t_2) + Float64(Float64(t_1 * Float64(-1.0 + t_4)) / 2.0))) t_6 = Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0 tmp = 0.0 if (lambda2 <= -8.4e-10) tmp = Float64(atan(sqrt(Float64(t_3 + Float64(Float64(t_1 * Float64(1.0 - fma(cos(lambda2), cos(lambda1), t_0))) / 2.0))), t_5) * Float64(2.0 * R)); elseif (lambda2 <= 6.5e-16) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(t_1 * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + t_6)), sqrt(Float64(1.0 + Float64(Float64(cos(phi1) * Float64(Float64(cos(phi2) * sin(Float64(lambda1 * -0.5))) * sin(Float64(lambda1 * 0.5)))) - t_6))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_3 + Float64(Float64(t_1 * Float64(1.0 - t_4)) / 2.0))), t_5)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$0 + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] + N[(N[(t$95$1 * N[(-1.0 + t$95$4), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[lambda2, -8.4e-10], N[(N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[(t$95$1 * N[(1.0 - N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda2, 6.5e-16], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[(t$95$1 * N[(1.0 - t$95$4), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \lambda_1 \cdot \sin \lambda_2\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
t_3 := 0.5 - t\_2\\
t_4 := t\_0 + \cos \lambda_2 \cdot \cos \lambda_1\\
t_5 := \sqrt{\left(0.5 + t\_2\right) + \frac{t\_1 \cdot \left(-1 + t\_4\right)}{2}}\\
t_6 := {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
\mathbf{if}\;\lambda_2 \leq -8.4 \cdot 10^{-10}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_3 + \frac{t\_1 \cdot \left(1 - \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, t\_0\right)\right)}{2}}}{t\_5} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\lambda_2 \leq 6.5 \cdot 10^{-16}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + t\_6}}{\sqrt{1 + \left(\cos \phi_1 \cdot \left(\left(\cos \phi_2 \cdot \sin \left(\lambda_1 \cdot -0.5\right)\right) \cdot \sin \left(\lambda_1 \cdot 0.5\right)\right) - t\_6\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + \frac{t\_1 \cdot \left(1 - t\_4\right)}{2}}}{t\_5}\\
\end{array}
\end{array}
if lambda2 < -8.3999999999999999e-10Initial program 41.8%
Applied egg-rr41.6%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6442.3%
Applied egg-rr42.3%
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6477.3%
Applied egg-rr77.3%
if -8.3999999999999999e-10 < lambda2 < 6.50000000000000011e-16Initial program 79.3%
Simplified79.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6480.5%
Applied egg-rr80.5%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6499.1%
Applied egg-rr99.1%
Taylor expanded in phi1 around 0
Simplified99.0%
Taylor expanded in lambda2 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified99.0%
if 6.50000000000000011e-16 < lambda2 Initial program 48.0%
Applied egg-rr47.9%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6449.3%
Applied egg-rr49.3%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6479.0%
Applied egg-rr79.0%
Final simplification86.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sqrt
(+
(* (* (cos phi1) (cos phi2)) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow
(-
(* (sin (* 0.5 phi1)) (cos (* 0.5 phi2)))
(* (cos (* 0.5 phi1)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(-
(+
1.0
(*
(sin (/ (- lambda1 lambda2) -2.0))
(* (cos phi1) (* (cos phi2) (sin (/ (- lambda1 lambda2) 2.0))))))
(+ 0.5 (* -0.5 (cos (- phi1 phi2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + pow(((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))), 2.0))), sqrt(((1.0 + (sin(((lambda1 - lambda2) / -2.0)) * (cos(phi1) * (cos(phi2) * sin(((lambda1 - lambda2) / 2.0)))))) - (0.5 + (-0.5 * cos((phi1 - phi2)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + (((sin((0.5d0 * phi1)) * cos((0.5d0 * phi2))) - (cos((0.5d0 * phi1)) * sin((0.5d0 * phi2)))) ** 2.0d0))), sqrt(((1.0d0 + (sin(((lambda1 - lambda2) / (-2.0d0))) * (cos(phi1) * (cos(phi2) * sin(((lambda1 - lambda2) / 2.0d0)))))) - (0.5d0 + ((-0.5d0) * cos((phi1 - phi2)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sqrt((((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + Math.pow(((Math.sin((0.5 * phi1)) * Math.cos((0.5 * phi2))) - (Math.cos((0.5 * phi1)) * Math.sin((0.5 * phi2)))), 2.0))), Math.sqrt(((1.0 + (Math.sin(((lambda1 - lambda2) / -2.0)) * (Math.cos(phi1) * (Math.cos(phi2) * Math.sin(((lambda1 - lambda2) / 2.0)))))) - (0.5 + (-0.5 * Math.cos((phi1 - phi2)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sqrt((((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + math.pow(((math.sin((0.5 * phi1)) * math.cos((0.5 * phi2))) - (math.cos((0.5 * phi1)) * math.sin((0.5 * phi2)))), 2.0))), math.sqrt(((1.0 + (math.sin(((lambda1 - lambda2) / -2.0)) * (math.cos(phi1) * (math.cos(phi2) * math.sin(((lambda1 - lambda2) / 2.0)))))) - (0.5 + (-0.5 * math.cos((phi1 - phi2)))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + (Float64(Float64(sin(Float64(0.5 * phi1)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(Float64(Float64(1.0 + Float64(sin(Float64(Float64(lambda1 - lambda2) / -2.0)) * Float64(cos(phi1) * Float64(cos(phi2) * sin(Float64(Float64(lambda1 - lambda2) / 2.0)))))) - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + (((sin((0.5 * phi1)) * cos((0.5 * phi2))) - (cos((0.5 * phi1)) * sin((0.5 * phi2)))) ^ 2.0))), sqrt(((1.0 + (sin(((lambda1 - lambda2) / -2.0)) * (cos(phi1) * (cos(phi2) * sin(((lambda1 - lambda2) / 2.0)))))) - (0.5 + (-0.5 * cos((phi1 - phi2))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + N[(N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\left(\sin \left(0.5 \cdot \phi_1\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}}}{\sqrt{\left(1 + \sin \left(\frac{\lambda_1 - \lambda_2}{-2}\right) \cdot \left(\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\right)\right)\right) - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)}}
\end{array}
Initial program 59.4%
Simplified59.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6460.3%
Applied egg-rr60.3%
div-subN/A
sin-diffN/A
fmm-defN/A
fma-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6472.7%
Applied egg-rr72.7%
Taylor expanded in phi1 around 0
Simplified72.6%
Applied egg-rr60.2%
Final simplification60.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (* t_1 t_0))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_2))))
(/ (* t_1 (+ -1.0 (cos (- lambda1 lambda2)))) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = cos(phi1) * cos(phi2)
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_2)))) + ((t_1 * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_2)))) + ((t_1 * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_2)))) + ((t_1 * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_0)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(Float64(t_1 * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = cos(phi1) * cos(phi2); t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_1 * (-1.0 + cos((lambda1 - lambda2)))) / 2.0))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_0\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + \frac{t\_1 \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 59.4%
Applied egg-rr59.5%
Final simplification59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (* (cos phi1) (cos phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (fma t_1 (- 0.5 (/ t_0 2.0)) (+ 0.5 (* -0.5 (cos (- phi1 phi2))))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* t_1 (+ -1.0 t_0)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi1) * cos(phi2);
return (2.0 * R) * atan2(sqrt(fma(t_1, (0.5 - (t_0 / 2.0)), (0.5 + (-0.5 * cos((phi1 - phi2)))))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + ((t_1 * (-1.0 + t_0)) / 2.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(fma(t_1, Float64(0.5 - Float64(t_0 / 2.0)), Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(t_1 * Float64(-1.0 + t_0)) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * N[(0.5 - N[(t$95$0 / 2.0), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, 0.5 - \frac{t\_0}{2}, 0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{t\_1 \cdot \left(-1 + t\_0\right)}{2}}}
\end{array}
\end{array}
Initial program 59.4%
Applied egg-rr56.3%
+-commutativeN/A
associate-/l*N/A
fma-defineN/A
sqr-sin-aN/A
unpow2N/A
fma-lowering-fma.f64N/A
Applied egg-rr56.3%
Final simplification56.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ (- 0.5 t_2) (/ (* t_0 (- 1.0 t_1)) 2.0)))
(sqrt (+ (+ 0.5 t_2) (/ (* t_0 (+ -1.0 t_1)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0)));
return (2.0 * R) * atan2(sqrt(((0.5 - t_2) + ((t_0 * (1.0 - t_1)) / 2.0))), sqrt(((0.5 + t_2) + ((t_0 * (-1.0 + t_1)) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = 0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0)))
code = (2.0d0 * r) * atan2(sqrt(((0.5d0 - t_2) + ((t_0 * (1.0d0 - t_1)) / 2.0d0))), sqrt(((0.5d0 + t_2) + ((t_0 * ((-1.0d0) + t_1)) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = 0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0)));
return (2.0 * R) * Math.atan2(Math.sqrt(((0.5 - t_2) + ((t_0 * (1.0 - t_1)) / 2.0))), Math.sqrt(((0.5 + t_2) + ((t_0 * (-1.0 + t_1)) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = 0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))) return (2.0 * R) * math.atan2(math.sqrt(((0.5 - t_2) + ((t_0 * (1.0 - t_1)) / 2.0))), math.sqrt(((0.5 + t_2) + ((t_0 * (-1.0 + t_1)) / 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0)))) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(0.5 - t_2) + Float64(Float64(t_0 * Float64(1.0 - t_1)) / 2.0))), sqrt(Float64(Float64(0.5 + t_2) + Float64(Float64(t_0 * Float64(-1.0 + t_1)) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = 0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))); tmp = (2.0 * R) * atan2(sqrt(((0.5 - t_2) + ((t_0 * (1.0 - t_1)) / 2.0))), sqrt(((0.5 + t_2) + ((t_0 * (-1.0 + t_1)) / 2.0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 - t$95$2), $MachinePrecision] + N[(N[(t$95$0 * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] + N[(N[(t$95$0 * N[(-1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 - t\_2\right) + \frac{t\_0 \cdot \left(1 - t\_1\right)}{2}}}{\sqrt{\left(0.5 + t\_2\right) + \frac{t\_0 \cdot \left(-1 + t\_1\right)}{2}}}
\end{array}
\end{array}
Initial program 59.4%
Applied egg-rr56.3%
Final simplification56.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (+ 0.5 (* -0.5 (cos (- phi1 phi2))))))
(*
(* 2.0 R)
(atan2
(sqrt (+ t_1 (* (cos phi1) (* (cos phi2) (+ 0.5 (* -0.5 t_0))))))
(sqrt
(+ 1.0 (- (/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0) t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 + (-0.5 * cos((phi1 - phi2)));
return (2.0 * R) * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * t_0)))))), sqrt((1.0 + ((((cos(phi1) * cos(phi2)) * (-1.0 + t_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 = cos((lambda1 - lambda2))
t_1 = 0.5d0 + ((-0.5d0) * cos((phi1 - phi2)))
code = (2.0d0 * r) * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (0.5d0 + ((-0.5d0) * t_0)))))), sqrt((1.0d0 + ((((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0) - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = 0.5 + (-0.5 * Math.cos((phi1 - phi2)));
return (2.0 * R) * Math.atan2(Math.sqrt((t_1 + (Math.cos(phi1) * (Math.cos(phi2) * (0.5 + (-0.5 * t_0)))))), Math.sqrt((1.0 + ((((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0) - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 0.5 + (-0.5 * math.cos((phi1 - phi2))) return (2.0 * R) * math.atan2(math.sqrt((t_1 + (math.cos(phi1) * (math.cos(phi2) * (0.5 + (-0.5 * t_0)))))), math.sqrt((1.0 + ((((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0) - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_1 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * t_0)))))), sqrt(Float64(1.0 + Float64(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0) - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = 0.5 + (-0.5 * cos((phi1 - phi2))); tmp = (2.0 * R) * atan2(sqrt((t_1 + (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * t_0)))))), sqrt((1.0 + ((((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0) - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 + N[(N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + -0.5 \cdot t\_0\right)\right)}}{\sqrt{1 + \left(\frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2} - t\_1\right)}}
\end{array}
\end{array}
Initial program 59.4%
Simplified59.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6460.3%
Applied egg-rr60.3%
Applied egg-rr56.3%
Final simplification56.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (cos (- phi1 phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* 0.5 (- (* t_0 (- 1.0 t_1)) t_2))))
(sqrt (+ 0.5 (* 0.5 (+ t_2 (* t_0 (+ -1.0 t_1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = cos((phi1 - phi2));
return (2.0 * R) * atan2(sqrt((0.5 + (0.5 * ((t_0 * (1.0 - t_1)) - t_2)))), sqrt((0.5 + (0.5 * (t_2 + (t_0 * (-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
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = cos((phi1 - phi2))
code = (2.0d0 * r) * atan2(sqrt((0.5d0 + (0.5d0 * ((t_0 * (1.0d0 - t_1)) - t_2)))), sqrt((0.5d0 + (0.5d0 * (t_2 + (t_0 * ((-1.0d0) + t_1)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = Math.cos((phi1 - phi2));
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (0.5 * ((t_0 * (1.0 - t_1)) - t_2)))), Math.sqrt((0.5 + (0.5 * (t_2 + (t_0 * (-1.0 + t_1)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = math.cos((phi1 - phi2)) return (2.0 * R) * math.atan2(math.sqrt((0.5 + (0.5 * ((t_0 * (1.0 - t_1)) - t_2)))), math.sqrt((0.5 + (0.5 * (t_2 + (t_0 * (-1.0 + t_1)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = cos(Float64(phi1 - phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(0.5 * Float64(Float64(t_0 * Float64(1.0 - t_1)) - t_2)))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_2 + Float64(t_0 * Float64(-1.0 + t_1)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = cos((phi1 - phi2)); tmp = (2.0 * R) * atan2(sqrt((0.5 + (0.5 * ((t_0 * (1.0 - t_1)) - t_2)))), sqrt((0.5 + (0.5 * (t_2 + (t_0 * (-1.0 + t_1))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(0.5 * N[(N[(t$95$0 * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$2 + N[(t$95$0 * N[(-1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \left(\phi_1 - \phi_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + 0.5 \cdot \left(t\_0 \cdot \left(1 - t\_1\right) - t\_2\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_2 + t\_0 \cdot \left(-1 + t\_1\right)\right)}}
\end{array}
\end{array}
Initial program 59.4%
Applied egg-rr56.3%
*-rgt-identityN/A
cos-diffN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6456.9%
Applied egg-rr56.9%
Applied egg-rr56.3%
Final simplification56.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* 0.5 (cos phi1)))
(t_2
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0))))
(t_3
(* (* 2.0 R) (atan2 (sqrt (+ 0.5 (- (* (- 1.0 t_0) t_1) t_1))) t_2))))
(if (<= (- lambda1 lambda2) -4e-6)
t_3
(if (<= (- lambda1 lambda2) 2e-47)
(* (* 2.0 R) (atan2 (sqrt (+ 0.5 (* -0.5 (cos (- phi1 phi2))))) t_2))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 * cos(phi1);
double t_2 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_3 = (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), t_2);
double tmp;
if ((lambda1 - lambda2) <= -4e-6) {
tmp = t_3;
} else if ((lambda1 - lambda2) <= 2e-47) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = 0.5d0 * cos(phi1)
t_2 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0)))
t_3 = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((1.0d0 - t_0) * t_1) - t_1))), t_2)
if ((lambda1 - lambda2) <= (-4d-6)) then
tmp = t_3
else if ((lambda1 - lambda2) <= 2d-47) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))), t_2)
else
tmp = t_3
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = 0.5 * Math.cos(phi1);
double t_2 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_3 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), t_2);
double tmp;
if ((lambda1 - lambda2) <= -4e-6) {
tmp = t_3;
} else if ((lambda1 - lambda2) <= 2e-47) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (-0.5 * Math.cos((phi1 - phi2))))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 0.5 * math.cos(phi1) t_2 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0))) t_3 = (2.0 * R) * math.atan2(math.sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), t_2) tmp = 0 if (lambda1 - lambda2) <= -4e-6: tmp = t_3 elif (lambda1 - lambda2) <= 2e-47: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + (-0.5 * math.cos((phi1 - phi2))))), t_2) else: tmp = t_3 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * cos(phi1)) t_2 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0))) t_3 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(Float64(1.0 - t_0) * t_1) - t_1))), t_2)) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -4e-6) tmp = t_3; elseif (Float64(lambda1 - lambda2) <= 2e-47) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))), t_2)); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = 0.5 * cos(phi1); t_2 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0))); t_3 = (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), t_2); tmp = 0.0; if ((lambda1 - lambda2) <= -4e-6) tmp = t_3; elseif ((lambda1 - lambda2) <= 2e-47) tmp = (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), t_2); else tmp = t_3; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[(1.0 - t$95$0), $MachinePrecision] * t$95$1), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -4e-6], t$95$3, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 2e-47], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \phi_1\\
t_2 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2}}\\
t_3 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\left(1 - t\_0\right) \cdot t\_1 - t\_1\right)}}{t\_2}\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -4 \cdot 10^{-6}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 2 \cdot 10^{-47}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -3.99999999999999982e-6 or 1.9999999999999999e-47 < (-.f64 lambda1 lambda2) Initial program 56.1%
Applied egg-rr55.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6442.9%
Simplified42.9%
if -3.99999999999999982e-6 < (-.f64 lambda1 lambda2) < 1.9999999999999999e-47Initial program 76.5%
Applied egg-rr60.2%
Taylor expanded in lambda1 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified60.2%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6460.2%
Simplified60.2%
Final simplification45.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0))))
(t_2 (- 1.0 t_0))
(t_3 (* 0.5 (cos phi2)))
(t_4 (* 0.5 (cos phi1)))
(t_5 (* (* 2.0 R) (atan2 (sqrt (+ 0.5 (- (* t_2 t_4) t_4))) t_1))))
(if (<= phi1 -4.2)
t_5
(if (<= phi1 1.45e-9)
(* (* 2.0 R) (atan2 (sqrt (+ 0.5 (- (* t_2 t_3) t_3))) t_1))
t_5))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_2 = 1.0 - t_0;
double t_3 = 0.5 * cos(phi2);
double t_4 = 0.5 * cos(phi1);
double t_5 = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1);
double tmp;
if (phi1 <= -4.2) {
tmp = t_5;
} else if (phi1 <= 1.45e-9) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1);
} else {
tmp = t_5;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0)))
t_2 = 1.0d0 - t_0
t_3 = 0.5d0 * cos(phi2)
t_4 = 0.5d0 * cos(phi1)
t_5 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_2 * t_4) - t_4))), t_1)
if (phi1 <= (-4.2d0)) then
tmp = t_5
else if (phi1 <= 1.45d-9) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_2 * t_3) - t_3))), t_1)
else
tmp = t_5
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_2 = 1.0 - t_0;
double t_3 = 0.5 * Math.cos(phi2);
double t_4 = 0.5 * Math.cos(phi1);
double t_5 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1);
double tmp;
if (phi1 <= -4.2) {
tmp = t_5;
} else if (phi1 <= 1.45e-9) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1);
} else {
tmp = t_5;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0))) t_2 = 1.0 - t_0 t_3 = 0.5 * math.cos(phi2) t_4 = 0.5 * math.cos(phi1) t_5 = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1) tmp = 0 if phi1 <= -4.2: tmp = t_5 elif phi1 <= 1.45e-9: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1) else: tmp = t_5 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0))) t_2 = Float64(1.0 - t_0) t_3 = Float64(0.5 * cos(phi2)) t_4 = Float64(0.5 * cos(phi1)) t_5 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_2 * t_4) - t_4))), t_1)) tmp = 0.0 if (phi1 <= -4.2) tmp = t_5; elseif (phi1 <= 1.45e-9) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_2 * t_3) - t_3))), t_1)); else tmp = t_5; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0))); t_2 = 1.0 - t_0; t_3 = 0.5 * cos(phi2); t_4 = 0.5 * cos(phi1); t_5 = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1); tmp = 0.0; if (phi1 <= -4.2) tmp = t_5; elseif (phi1 <= 1.45e-9) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1); else tmp = t_5; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$2 * t$95$4), $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -4.2], t$95$5, If[LessEqual[phi1, 1.45e-9], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$2 * t$95$3), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2}}\\
t_2 := 1 - t\_0\\
t_3 := 0.5 \cdot \cos \phi_2\\
t_4 := 0.5 \cdot \cos \phi_1\\
t_5 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 \cdot t\_4 - t\_4\right)}}{t\_1}\\
\mathbf{if}\;\phi_1 \leq -4.2:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\phi_1 \leq 1.45 \cdot 10^{-9}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 \cdot t\_3 - t\_3\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if phi1 < -4.20000000000000018 or 1.44999999999999996e-9 < phi1 Initial program 46.5%
Applied egg-rr46.4%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6446.9%
Simplified46.9%
if -4.20000000000000018 < phi1 < 1.44999999999999996e-9Initial program 73.9%
Applied egg-rr67.4%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6467.3%
Simplified67.3%
Final simplification56.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0))))
(t_2
(*
(* 2.0 R)
(atan2 (sqrt (+ 0.5 (* -0.5 (cos (- phi1 phi2))))) t_1))))
(if (<= phi2 -1.04e-64)
t_2
(if (<= phi2 1.9e-30)
(*
(* 2.0 R)
(atan2 (* (sqrt (* (cos phi2) (- 1.0 t_0))) (sqrt 0.5)) t_1))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_2 = (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), t_1);
double tmp;
if (phi2 <= -1.04e-64) {
tmp = t_2;
} else if (phi2 <= 1.9e-30) {
tmp = (2.0 * R) * atan2((sqrt((cos(phi2) * (1.0 - t_0))) * sqrt(0.5)), t_1);
} else {
tmp = t_2;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0)))
t_2 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))), t_1)
if (phi2 <= (-1.04d-64)) then
tmp = t_2
else if (phi2 <= 1.9d-30) then
tmp = (2.0d0 * r) * atan2((sqrt((cos(phi2) * (1.0d0 - t_0))) * sqrt(0.5d0)), t_1)
else
tmp = t_2
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_2 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (-0.5 * Math.cos((phi1 - phi2))))), t_1);
double tmp;
if (phi2 <= -1.04e-64) {
tmp = t_2;
} else if (phi2 <= 1.9e-30) {
tmp = (2.0 * R) * Math.atan2((Math.sqrt((Math.cos(phi2) * (1.0 - t_0))) * Math.sqrt(0.5)), t_1);
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0))) t_2 = (2.0 * R) * math.atan2(math.sqrt((0.5 + (-0.5 * math.cos((phi1 - phi2))))), t_1) tmp = 0 if phi2 <= -1.04e-64: tmp = t_2 elif phi2 <= 1.9e-30: tmp = (2.0 * R) * math.atan2((math.sqrt((math.cos(phi2) * (1.0 - t_0))) * math.sqrt(0.5)), t_1) else: tmp = t_2 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0))) t_2 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))), t_1)) tmp = 0.0 if (phi2 <= -1.04e-64) tmp = t_2; elseif (phi2 <= 1.9e-30) tmp = Float64(Float64(2.0 * R) * atan(Float64(sqrt(Float64(cos(phi2) * Float64(1.0 - t_0))) * sqrt(0.5)), t_1)); else tmp = t_2; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0))); t_2 = (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), t_1); tmp = 0.0; if (phi2 <= -1.04e-64) tmp = t_2; elseif (phi2 <= 1.9e-30) tmp = (2.0 * R) * atan2((sqrt((cos(phi2) * (1.0 - t_0))) * sqrt(0.5)), t_1); else tmp = t_2; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.04e-64], t$95$2, If[LessEqual[phi2, 1.9e-30], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[(N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[(1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2}}\\
t_2 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}}{t\_1}\\
\mathbf{if}\;\phi_2 \leq -1.04 \cdot 10^{-64}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 1.9 \cdot 10^{-30}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_2 \cdot \left(1 - t\_0\right)} \cdot \sqrt{0.5}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -1.04000000000000004e-64 or 1.9000000000000002e-30 < phi2 Initial program 49.2%
Applied egg-rr49.2%
Taylor expanded in lambda1 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified33.0%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6428.9%
Simplified28.9%
if -1.04000000000000004e-64 < phi2 < 1.9000000000000002e-30Initial program 73.3%
Applied egg-rr65.9%
Taylor expanded in phi2 around 0
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6465.9%
Simplified65.9%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f6435.9%
Simplified35.9%
Final simplification31.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ -1.0 t_0)) 2.0))))
(t_2
(*
(* 2.0 R)
(atan2 (sqrt (+ 0.5 (* -0.5 (cos (- phi1 phi2))))) t_1))))
(if (<= phi2 -4.1e-66)
t_2
(if (<= phi2 1.15e-31)
(* (* 2.0 R) (atan2 (sqrt (* (- 1.0 t_0) (* 0.5 (cos phi2)))) t_1))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_2 = (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), t_1);
double tmp;
if (phi2 <= -4.1e-66) {
tmp = t_2;
} else if (phi2 <= 1.15e-31) {
tmp = (2.0 * R) * atan2(sqrt(((1.0 - t_0) * (0.5 * cos(phi2)))), t_1);
} else {
tmp = t_2;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * ((-1.0d0) + t_0)) / 2.0d0)))
t_2 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))), t_1)
if (phi2 <= (-4.1d-66)) then
tmp = t_2
else if (phi2 <= 1.15d-31) then
tmp = (2.0d0 * r) * atan2(sqrt(((1.0d0 - t_0) * (0.5d0 * cos(phi2)))), t_1)
else
tmp = t_2
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + t_0)) / 2.0)));
double t_2 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (-0.5 * Math.cos((phi1 - phi2))))), t_1);
double tmp;
if (phi2 <= -4.1e-66) {
tmp = t_2;
} else if (phi2 <= 1.15e-31) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt(((1.0 - t_0) * (0.5 * Math.cos(phi2)))), t_1);
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (-1.0 + t_0)) / 2.0))) t_2 = (2.0 * R) * math.atan2(math.sqrt((0.5 + (-0.5 * math.cos((phi1 - phi2))))), t_1) tmp = 0 if phi2 <= -4.1e-66: tmp = t_2 elif phi2 <= 1.15e-31: tmp = (2.0 * R) * math.atan2(math.sqrt(((1.0 - t_0) * (0.5 * math.cos(phi2)))), t_1) else: tmp = t_2 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + t_0)) / 2.0))) t_2 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))), t_1)) tmp = 0.0 if (phi2 <= -4.1e-66) tmp = t_2; elseif (phi2 <= 1.15e-31) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(1.0 - t_0) * Float64(0.5 * cos(phi2)))), t_1)); else tmp = t_2; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + t_0)) / 2.0))); t_2 = (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), t_1); tmp = 0.0; if (phi2 <= -4.1e-66) tmp = t_2; elseif (phi2 <= 1.15e-31) tmp = (2.0 * R) * atan2(sqrt(((1.0 - t_0) * (0.5 * cos(phi2)))), t_1); else tmp = t_2; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -4.1e-66], t$95$2, If[LessEqual[phi2, 1.15e-31], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(1.0 - t$95$0), $MachinePrecision] * N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + t\_0\right)}{2}}\\
t_2 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}}{t\_1}\\
\mathbf{if}\;\phi_2 \leq -4.1 \cdot 10^{-66}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 1.15 \cdot 10^{-31}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(1 - t\_0\right) \cdot \left(0.5 \cdot \cos \phi_2\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -4.09999999999999998e-66 or 1.1499999999999999e-31 < phi2 Initial program 49.2%
Applied egg-rr49.2%
Taylor expanded in lambda1 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified33.0%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6428.9%
Simplified28.9%
if -4.09999999999999998e-66 < phi2 < 1.1499999999999999e-31Initial program 73.3%
Applied egg-rr65.9%
Taylor expanded in phi2 around 0
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6465.9%
Simplified65.9%
Taylor expanded in phi1 around 0
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6435.9%
Simplified35.9%
Final simplification31.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* -0.5 (cos (- phi1 phi2)))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/
(* (* (cos phi1) (cos phi2)) (+ -1.0 (cos (- lambda1 lambda2))))
2.0))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + cos((lambda1 - lambda2)))) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * ((-1.0d0) + cos((lambda1 - lambda2)))) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (-0.5 * Math.cos((phi1 - phi2))))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (-1.0 + Math.cos((lambda1 - lambda2)))) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sqrt((0.5 + (-0.5 * math.cos((phi1 - phi2))))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (-1.0 + math.cos((lambda1 - lambda2)))) / 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(-1.0 + cos(Float64(lambda1 - lambda2)))) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sqrt((0.5 + (-0.5 * cos((phi1 - phi2))))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (-1.0 + cos((lambda1 - lambda2)))) / 2.0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right)}{2}}}
\end{array}
Initial program 59.4%
Applied egg-rr56.3%
Taylor expanded in lambda1 around 0
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
Simplified36.3%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6425.5%
Simplified25.5%
Final simplification25.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos phi2))))
(*
2.0
(*
R
(atan2
(sin (/ (- lambda1 lambda2) 2.0))
(sqrt (+ 0.5 (+ t_0 (* (+ -1.0 (cos (- lambda1 lambda2))) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos(phi2);
return 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (t_0 + ((-1.0 + cos((lambda1 - lambda2))) * t_0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 * cos(phi2)
code = 2.0d0 * (r * atan2(sin(((lambda1 - lambda2) / 2.0d0)), sqrt((0.5d0 + (t_0 + (((-1.0d0) + cos((lambda1 - lambda2))) * t_0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * Math.cos(phi2);
return 2.0 * (R * Math.atan2(Math.sin(((lambda1 - lambda2) / 2.0)), Math.sqrt((0.5 + (t_0 + ((-1.0 + Math.cos((lambda1 - lambda2))) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 * math.cos(phi2) return 2.0 * (R * math.atan2(math.sin(((lambda1 - lambda2) / 2.0)), math.sqrt((0.5 + (t_0 + ((-1.0 + math.cos((lambda1 - lambda2))) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(phi2)) return Float64(2.0 * Float64(R * atan(sin(Float64(Float64(lambda1 - lambda2) / 2.0)), sqrt(Float64(0.5 + Float64(t_0 + Float64(Float64(-1.0 + cos(Float64(lambda1 - lambda2))) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 * cos(phi2); tmp = 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (t_0 + ((-1.0 + cos((lambda1 - lambda2))) * t_0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(t$95$0 + N[(N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \phi_2\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}{\sqrt{0.5 + \left(t\_0 + \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
Simplified59.4%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified40.7%
Taylor expanded in phi2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.8%
Simplified15.8%
Applied egg-rr15.9%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
metadata-evalN/A
cos-negN/A
metadata-evalN/A
cancel-sign-sub-invN/A
metadata-evalN/A
cos-negN/A
+-lowering-+.f64N/A
Simplified16.1%
Final simplification16.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos phi1))))
(*
2.0
(*
R
(atan2
(sin (/ (- lambda1 lambda2) 2.0))
(sqrt (+ 0.5 (+ t_0 (* (+ -1.0 (cos (- lambda1 lambda2))) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos(phi1);
return 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (t_0 + ((-1.0 + cos((lambda1 - lambda2))) * t_0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = 0.5d0 * cos(phi1)
code = 2.0d0 * (r * atan2(sin(((lambda1 - lambda2) / 2.0d0)), sqrt((0.5d0 + (t_0 + (((-1.0d0) + cos((lambda1 - lambda2))) * t_0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * Math.cos(phi1);
return 2.0 * (R * Math.atan2(Math.sin(((lambda1 - lambda2) / 2.0)), Math.sqrt((0.5 + (t_0 + ((-1.0 + Math.cos((lambda1 - lambda2))) * t_0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 * math.cos(phi1) return 2.0 * (R * math.atan2(math.sin(((lambda1 - lambda2) / 2.0)), math.sqrt((0.5 + (t_0 + ((-1.0 + math.cos((lambda1 - lambda2))) * t_0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(phi1)) return Float64(2.0 * Float64(R * atan(sin(Float64(Float64(lambda1 - lambda2) / 2.0)), sqrt(Float64(0.5 + Float64(t_0 + Float64(Float64(-1.0 + cos(Float64(lambda1 - lambda2))) * t_0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 * cos(phi1); tmp = 2.0 * (R * atan2(sin(((lambda1 - lambda2) / 2.0)), sqrt((0.5 + (t_0 + ((-1.0 + cos((lambda1 - lambda2))) * t_0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(t$95$0 + N[(N[(-1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \phi_1\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}{\sqrt{0.5 + \left(t\_0 + \left(-1 + \cos \left(\lambda_1 - \lambda_2\right)\right) \cdot t\_0\right)}}\right)
\end{array}
\end{array}
Initial program 59.4%
Simplified59.4%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified40.7%
Taylor expanded in phi2 around 0
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6415.8%
Simplified15.8%
Applied egg-rr15.9%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified16.0%
Final simplification16.0%
herbie shell --seed 2024138
(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))))))))))