
(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 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (sin (/ phi1 2.0)))
(t_2 (* (cos (/ phi2 2.0)) t_1))
(t_3 (sin (/ phi2 -2.0)))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (cos (/ phi2 -2.0)))
(t_6 (fma t_3 (cos (/ phi1 2.0)) (* (sin (/ phi1 -2.0)) t_5)))
(t_7 (* (* (* (cos phi1) (cos phi2)) t_4) t_4))
(t_8 (cos (/ phi1 -2.0)))
(t_9 (* t_8 t_3))
(t_10 (pow t_9 4.0))
(t_11 (pow t_2 4.0)))
(if (or (<= phi1 -125.0) (not (<= phi1 1.38e-14)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(/
(/
(* (- (pow t_9 6.0) (pow t_2 6.0)) (- t_10 t_11))
(*
(+ (+ (pow (* t_9 t_2) 2.0) t_11) t_10)
(+ (pow t_2 2.0) (pow t_9 2.0))))
(* t_6 t_6))
t_7))
(sqrt
(-
1.0
(+ (pow (fma (sin (/ phi2 2.0)) (- t_8) (* t_5 t_1)) 2.0) t_7))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 t_7))
(sqrt
(-
(-
1.0
(*
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0)
(* (cos phi2) (cos phi1))))
t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = sin((phi1 / 2.0));
double t_2 = cos((phi2 / 2.0)) * t_1;
double t_3 = sin((phi2 / -2.0));
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = cos((phi2 / -2.0));
double t_6 = fma(t_3, cos((phi1 / 2.0)), (sin((phi1 / -2.0)) * t_5));
double t_7 = ((cos(phi1) * cos(phi2)) * t_4) * t_4;
double t_8 = cos((phi1 / -2.0));
double t_9 = t_8 * t_3;
double t_10 = pow(t_9, 4.0);
double t_11 = pow(t_2, 4.0);
double tmp;
if ((phi1 <= -125.0) || !(phi1 <= 1.38e-14)) {
tmp = R * (2.0 * atan2(sqrt((((((pow(t_9, 6.0) - pow(t_2, 6.0)) * (t_10 - t_11)) / (((pow((t_9 * t_2), 2.0) + t_11) + t_10) * (pow(t_2, 2.0) + pow(t_9, 2.0)))) / (t_6 * t_6)) + t_7)), sqrt((1.0 - (pow(fma(sin((phi2 / 2.0)), -t_8, (t_5 * t_1)), 2.0) + t_7)))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_0 + t_7)), sqrt(((1.0 - (pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0) * (cos(phi2) * cos(phi1)))) - t_0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = sin(Float64(phi1 / 2.0)) t_2 = Float64(cos(Float64(phi2 / 2.0)) * t_1) t_3 = sin(Float64(phi2 / -2.0)) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = cos(Float64(phi2 / -2.0)) t_6 = fma(t_3, cos(Float64(phi1 / 2.0)), Float64(sin(Float64(phi1 / -2.0)) * t_5)) t_7 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_4) * t_4) t_8 = cos(Float64(phi1 / -2.0)) t_9 = Float64(t_8 * t_3) t_10 = t_9 ^ 4.0 t_11 = t_2 ^ 4.0 tmp = 0.0 if ((phi1 <= -125.0) || !(phi1 <= 1.38e-14)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(Float64(Float64(Float64((t_9 ^ 6.0) - (t_2 ^ 6.0)) * Float64(t_10 - t_11)) / Float64(Float64(Float64((Float64(t_9 * t_2) ^ 2.0) + t_11) + t_10) * Float64((t_2 ^ 2.0) + (t_9 ^ 2.0)))) / Float64(t_6 * t_6)) + t_7)), sqrt(Float64(1.0 - Float64((fma(sin(Float64(phi2 / 2.0)), Float64(-t_8), Float64(t_5 * t_1)) ^ 2.0) + t_7)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + t_7)), sqrt(Float64(Float64(1.0 - Float64((Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - t_0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 * N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]}, Block[{t$95$8 = N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$9 = N[(t$95$8 * t$95$3), $MachinePrecision]}, Block[{t$95$10 = N[Power[t$95$9, 4.0], $MachinePrecision]}, Block[{t$95$11 = N[Power[t$95$2, 4.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -125.0], N[Not[LessEqual[phi1, 1.38e-14]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(N[(N[(N[Power[t$95$9, 6.0], $MachinePrecision] - N[Power[t$95$2, 6.0], $MachinePrecision]), $MachinePrecision] * N[(t$95$10 - t$95$11), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Power[N[(t$95$9 * t$95$2), $MachinePrecision], 2.0], $MachinePrecision] + t$95$11), $MachinePrecision] + t$95$10), $MachinePrecision] * N[(N[Power[t$95$2, 2.0], $MachinePrecision] + N[Power[t$95$9, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$6 * t$95$6), $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * (-t$95$8) + N[(t$95$5 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := \sin \left(\frac{\phi_1}{2}\right)\\
t_2 := \cos \left(\frac{\phi_2}{2}\right) \cdot t\_1\\
t_3 := \sin \left(\frac{\phi_2}{-2}\right)\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \cos \left(\frac{\phi_2}{-2}\right)\\
t_6 := \mathsf{fma}\left(t\_3, \cos \left(\frac{\phi_1}{2}\right), \sin \left(\frac{\phi_1}{-2}\right) \cdot t\_5\right)\\
t_7 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) \cdot t\_4\\
t_8 := \cos \left(\frac{\phi_1}{-2}\right)\\
t_9 := t\_8 \cdot t\_3\\
t_10 := {t\_9}^{4}\\
t_11 := {t\_2}^{4}\\
\mathbf{if}\;\phi_1 \leq -125 \lor \neg \left(\phi_1 \leq 1.38 \cdot 10^{-14}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{\frac{\left({t\_9}^{6} - {t\_2}^{6}\right) \cdot \left(t\_10 - t\_11\right)}{\left(\left({\left(t\_9 \cdot t\_2\right)}^{2} + t\_11\right) + t\_10\right) \cdot \left({t\_2}^{2} + {t\_9}^{2}\right)}}{t\_6 \cdot t\_6} + t\_7}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{2}\right), -t\_8, t\_5 \cdot t\_1\right)\right)}^{2} + t\_7\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_7}}{\sqrt{\left(1 - {\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - t\_0}}\right)\\
\end{array}
\end{array}
if phi1 < -125 or 1.38000000000000002e-14 < phi1 Initial program 52.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6455.0
Applied rewrites55.0%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6455.0
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval55.0
lift-*.f64N/A
*-commutativeN/A
lower-*.f6455.0
Applied rewrites55.0%
Applied rewrites79.3%
Applied rewrites79.4%
if -125 < phi1 < 1.38000000000000002e-14Initial program 76.9%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites76.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6477.6
Applied rewrites77.6%
Final simplification78.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- (cos (/ phi1 -2.0))))
(t_1 (sin (/ phi2 -2.0)))
(t_2 (cos (/ phi1 2.0)))
(t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_4 (cos (/ phi2 -2.0)))
(t_5 (fma t_1 t_2 (* (sin (/ phi1 -2.0)) t_4)))
(t_6 (* t_5 t_5))
(t_7 (sin (/ (- lambda1 lambda2) 2.0)))
(t_8 (sin (/ phi1 2.0)))
(t_9 (- (pow (* t_1 t_2) 2.0) (pow (* t_8 t_4) 2.0)))
(t_10 (* (* (* (cos phi1) (cos phi2)) t_7) t_7))
(t_11 (sin (/ phi2 2.0))))
(if (<= phi1 -125.0)
(*
R
(*
2.0
(atan2
(sqrt
(+
(/
(pow
(fma
(pow (sin (* -0.5 phi2)) 2.0)
(pow (cos (* 0.5 phi1)) 2.0)
(* (- (pow (sin (* 0.5 phi1)) 2.0)) (pow (cos (* 0.5 phi2)) 2.0)))
2.0)
t_6)
t_10))
(sqrt (- 1.0 (+ (pow (fma t_11 t_0 (* t_4 t_8)) 2.0) t_10))))))
(if (<= phi1 1.38e-14)
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 t_10))
(sqrt
(-
(-
1.0
(*
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0)
(* (cos phi2) (cos phi1))))
t_3)))))
(*
R
(*
2.0
(atan2
(sqrt (+ (/ (* t_9 t_9) t_6) t_10))
(sqrt
(-
1.0
(+
(pow (fma t_8 (cos (/ phi2 2.0)) (* t_0 t_11)) 2.0)
t_10))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -cos((phi1 / -2.0));
double t_1 = sin((phi2 / -2.0));
double t_2 = cos((phi1 / 2.0));
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = cos((phi2 / -2.0));
double t_5 = fma(t_1, t_2, (sin((phi1 / -2.0)) * t_4));
double t_6 = t_5 * t_5;
double t_7 = sin(((lambda1 - lambda2) / 2.0));
double t_8 = sin((phi1 / 2.0));
double t_9 = pow((t_1 * t_2), 2.0) - pow((t_8 * t_4), 2.0);
double t_10 = ((cos(phi1) * cos(phi2)) * t_7) * t_7;
double t_11 = sin((phi2 / 2.0));
double tmp;
if (phi1 <= -125.0) {
tmp = R * (2.0 * atan2(sqrt(((pow(fma(pow(sin((-0.5 * phi2)), 2.0), pow(cos((0.5 * phi1)), 2.0), (-pow(sin((0.5 * phi1)), 2.0) * pow(cos((0.5 * phi2)), 2.0))), 2.0) / t_6) + t_10)), sqrt((1.0 - (pow(fma(t_11, t_0, (t_4 * t_8)), 2.0) + t_10)))));
} else if (phi1 <= 1.38e-14) {
tmp = R * (2.0 * atan2(sqrt((t_3 + t_10)), sqrt(((1.0 - (pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0) * (cos(phi2) * cos(phi1)))) - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt((((t_9 * t_9) / t_6) + t_10)), sqrt((1.0 - (pow(fma(t_8, cos((phi2 / 2.0)), (t_0 * t_11)), 2.0) + t_10)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(-cos(Float64(phi1 / -2.0))) t_1 = sin(Float64(phi2 / -2.0)) t_2 = cos(Float64(phi1 / 2.0)) t_3 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_4 = cos(Float64(phi2 / -2.0)) t_5 = fma(t_1, t_2, Float64(sin(Float64(phi1 / -2.0)) * t_4)) t_6 = Float64(t_5 * t_5) t_7 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_8 = sin(Float64(phi1 / 2.0)) t_9 = Float64((Float64(t_1 * t_2) ^ 2.0) - (Float64(t_8 * t_4) ^ 2.0)) t_10 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_7) * t_7) t_11 = sin(Float64(phi2 / 2.0)) tmp = 0.0 if (phi1 <= -125.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64((fma((sin(Float64(-0.5 * phi2)) ^ 2.0), (cos(Float64(0.5 * phi1)) ^ 2.0), Float64(Float64(-(sin(Float64(0.5 * phi1)) ^ 2.0)) * (cos(Float64(0.5 * phi2)) ^ 2.0))) ^ 2.0) / t_6) + t_10)), sqrt(Float64(1.0 - Float64((fma(t_11, t_0, Float64(t_4 * t_8)) ^ 2.0) + t_10)))))); elseif (phi1 <= 1.38e-14) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + t_10)), sqrt(Float64(Float64(1.0 - Float64((Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(Float64(t_9 * t_9) / t_6) + t_10)), sqrt(Float64(1.0 - Float64((fma(t_8, cos(Float64(phi2 / 2.0)), Float64(t_0 * t_11)) ^ 2.0) + t_10)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = (-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision])}, Block[{t$95$1 = N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 * t$95$2 + N[(N[Sin[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 * t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$8 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$9 = N[(N[Power[N[(t$95$1 * t$95$2), $MachinePrecision], 2.0], $MachinePrecision] - N[Power[N[(t$95$8 * t$95$4), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$10 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$7), $MachinePrecision] * t$95$7), $MachinePrecision]}, Block[{t$95$11 = N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -125.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Power[N[(N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[((-N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Power[N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / t$95$6), $MachinePrecision] + t$95$10), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$11 * t$95$0 + N[(t$95$4 * t$95$8), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$10), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.38e-14], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + t$95$10), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(t$95$9 * t$95$9), $MachinePrecision] / t$95$6), $MachinePrecision] + t$95$10), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$8 * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(t$95$0 * t$95$11), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$10), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -\cos \left(\frac{\phi_1}{-2}\right)\\
t_1 := \sin \left(\frac{\phi_2}{-2}\right)\\
t_2 := \cos \left(\frac{\phi_1}{2}\right)\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := \cos \left(\frac{\phi_2}{-2}\right)\\
t_5 := \mathsf{fma}\left(t\_1, t\_2, \sin \left(\frac{\phi_1}{-2}\right) \cdot t\_4\right)\\
t_6 := t\_5 \cdot t\_5\\
t_7 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_8 := \sin \left(\frac{\phi_1}{2}\right)\\
t_9 := {\left(t\_1 \cdot t\_2\right)}^{2} - {\left(t\_8 \cdot t\_4\right)}^{2}\\
t_10 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_7\right) \cdot t\_7\\
t_11 := \sin \left(\frac{\phi_2}{2}\right)\\
\mathbf{if}\;\phi_1 \leq -125:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{{\left(\mathsf{fma}\left({\sin \left(-0.5 \cdot \phi_2\right)}^{2}, {\cos \left(0.5 \cdot \phi_1\right)}^{2}, \left(-{\sin \left(0.5 \cdot \phi_1\right)}^{2}\right) \cdot {\cos \left(0.5 \cdot \phi_2\right)}^{2}\right)\right)}^{2}}{t\_6} + t\_10}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_11, t\_0, t\_4 \cdot t\_8\right)\right)}^{2} + t\_10\right)}}\right)\\
\mathbf{elif}\;\phi_1 \leq 1.38 \cdot 10^{-14}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + t\_10}}{\sqrt{\left(1 - {\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{t\_9 \cdot t\_9}{t\_6} + t\_10}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_8, \cos \left(\frac{\phi_2}{2}\right), t\_0 \cdot t\_11\right)\right)}^{2} + t\_10\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -125Initial program 43.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6446.9
Applied rewrites46.9%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6446.9
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval46.9
lift-*.f64N/A
*-commutativeN/A
lower-*.f6446.9
Applied rewrites46.9%
Applied rewrites73.8%
Taylor expanded in phi1 around inf
lower-pow.f64N/A
Applied rewrites73.8%
if -125 < phi1 < 1.38000000000000002e-14Initial program 76.9%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites76.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6477.6
Applied rewrites77.6%
if 1.38000000000000002e-14 < phi1 Initial program 58.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6461.0
Applied rewrites61.0%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6461.0
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval61.0
lift-*.f64N/A
*-commutativeN/A
lower-*.f6461.0
Applied rewrites61.0%
Applied rewrites83.4%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-cos.f64N/A
cos-neg-revN/A
lift-/.f64N/A
distribute-neg-frac2N/A
metadata-evalN/A
lift-/.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f6483.4
Applied rewrites83.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ phi2 -2.0)))
(t_1 (cos (/ phi1 2.0)))
(t_2 (cos (/ phi2 -2.0)))
(t_3 (fma t_0 t_1 (* (sin (/ phi1 -2.0)) t_2)))
(t_4 (* t_3 t_3))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (* (* (cos phi1) (cos phi2)) t_5))
(t_7 (* t_6 t_5))
(t_8 (sin (/ phi1 2.0)))
(t_9 (- (pow (* t_0 t_1) 2.0) (pow (* t_8 t_2) 2.0)))
(t_10
(pow
(fma (sin (/ phi2 2.0)) (- (cos (/ phi1 -2.0))) (* t_2 t_8))
2.0))
(t_11 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (<= phi1 -125.0)
(*
R
(*
2.0
(atan2
(sqrt
(+
(/
(pow
(fma
(pow (sin (* -0.5 phi2)) 2.0)
(pow (cos (* 0.5 phi1)) 2.0)
(* (- (pow (sin (* 0.5 phi1)) 2.0)) (pow (cos (* 0.5 phi2)) 2.0)))
2.0)
t_4)
t_7))
(sqrt (- 1.0 (+ t_10 t_7))))))
(if (<= phi1 1.38e-14)
(*
R
(*
2.0
(atan2
(sqrt (+ t_11 t_7))
(sqrt
(-
(-
1.0
(*
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0)
(* (cos phi2) (cos phi1))))
t_11)))))
(*
R
(*
2.0
(atan2
(sqrt (+ (/ (* t_9 t_9) t_4) t_7))
(sqrt
(- 1.0 (+ t_10 (* t_6 (sin (* (- lambda2 lambda1) -0.5)))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 / -2.0));
double t_1 = cos((phi1 / 2.0));
double t_2 = cos((phi2 / -2.0));
double t_3 = fma(t_0, t_1, (sin((phi1 / -2.0)) * t_2));
double t_4 = t_3 * t_3;
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = (cos(phi1) * cos(phi2)) * t_5;
double t_7 = t_6 * t_5;
double t_8 = sin((phi1 / 2.0));
double t_9 = pow((t_0 * t_1), 2.0) - pow((t_8 * t_2), 2.0);
double t_10 = pow(fma(sin((phi2 / 2.0)), -cos((phi1 / -2.0)), (t_2 * t_8)), 2.0);
double t_11 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if (phi1 <= -125.0) {
tmp = R * (2.0 * atan2(sqrt(((pow(fma(pow(sin((-0.5 * phi2)), 2.0), pow(cos((0.5 * phi1)), 2.0), (-pow(sin((0.5 * phi1)), 2.0) * pow(cos((0.5 * phi2)), 2.0))), 2.0) / t_4) + t_7)), sqrt((1.0 - (t_10 + t_7)))));
} else if (phi1 <= 1.38e-14) {
tmp = R * (2.0 * atan2(sqrt((t_11 + t_7)), sqrt(((1.0 - (pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0) * (cos(phi2) * cos(phi1)))) - t_11))));
} else {
tmp = R * (2.0 * atan2(sqrt((((t_9 * t_9) / t_4) + t_7)), sqrt((1.0 - (t_10 + (t_6 * sin(((lambda2 - lambda1) * -0.5))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 / -2.0)) t_1 = cos(Float64(phi1 / 2.0)) t_2 = cos(Float64(phi2 / -2.0)) t_3 = fma(t_0, t_1, Float64(sin(Float64(phi1 / -2.0)) * t_2)) t_4 = Float64(t_3 * t_3) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(Float64(cos(phi1) * cos(phi2)) * t_5) t_7 = Float64(t_6 * t_5) t_8 = sin(Float64(phi1 / 2.0)) t_9 = Float64((Float64(t_0 * t_1) ^ 2.0) - (Float64(t_8 * t_2) ^ 2.0)) t_10 = fma(sin(Float64(phi2 / 2.0)), Float64(-cos(Float64(phi1 / -2.0))), Float64(t_2 * t_8)) ^ 2.0 t_11 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if (phi1 <= -125.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64((fma((sin(Float64(-0.5 * phi2)) ^ 2.0), (cos(Float64(0.5 * phi1)) ^ 2.0), Float64(Float64(-(sin(Float64(0.5 * phi1)) ^ 2.0)) * (cos(Float64(0.5 * phi2)) ^ 2.0))) ^ 2.0) / t_4) + t_7)), sqrt(Float64(1.0 - Float64(t_10 + t_7)))))); elseif (phi1 <= 1.38e-14) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_11 + t_7)), sqrt(Float64(Float64(1.0 - Float64((Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - t_11))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(Float64(t_9 * t_9) / t_4) + t_7)), sqrt(Float64(1.0 - Float64(t_10 + Float64(t_6 * sin(Float64(Float64(lambda2 - lambda1) * -0.5))))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * t$95$1 + N[(N[Sin[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$6 * t$95$5), $MachinePrecision]}, Block[{t$95$8 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$9 = N[(N[Power[N[(t$95$0 * t$95$1), $MachinePrecision], 2.0], $MachinePrecision] - N[Power[N[(t$95$8 * t$95$2), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$10 = N[Power[N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision]) + N[(t$95$2 * t$95$8), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$11 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -125.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Power[N[(N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[((-N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Power[N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / t$95$4), $MachinePrecision] + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$10 + t$95$7), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.38e-14], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$11 + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$11), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[(t$95$9 * t$95$9), $MachinePrecision] / t$95$4), $MachinePrecision] + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$10 + N[(t$95$6 * N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\phi_2}{-2}\right)\\
t_1 := \cos \left(\frac{\phi_1}{2}\right)\\
t_2 := \cos \left(\frac{\phi_2}{-2}\right)\\
t_3 := \mathsf{fma}\left(t\_0, t\_1, \sin \left(\frac{\phi_1}{-2}\right) \cdot t\_2\right)\\
t_4 := t\_3 \cdot t\_3\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_5\\
t_7 := t\_6 \cdot t\_5\\
t_8 := \sin \left(\frac{\phi_1}{2}\right)\\
t_9 := {\left(t\_0 \cdot t\_1\right)}^{2} - {\left(t\_8 \cdot t\_2\right)}^{2}\\
t_10 := {\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{-2}\right), t\_2 \cdot t\_8\right)\right)}^{2}\\
t_11 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -125:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{{\left(\mathsf{fma}\left({\sin \left(-0.5 \cdot \phi_2\right)}^{2}, {\cos \left(0.5 \cdot \phi_1\right)}^{2}, \left(-{\sin \left(0.5 \cdot \phi_1\right)}^{2}\right) \cdot {\cos \left(0.5 \cdot \phi_2\right)}^{2}\right)\right)}^{2}}{t\_4} + t\_7}}{\sqrt{1 - \left(t\_10 + t\_7\right)}}\right)\\
\mathbf{elif}\;\phi_1 \leq 1.38 \cdot 10^{-14}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_11 + t\_7}}{\sqrt{\left(1 - {\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - t\_11}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{t\_9 \cdot t\_9}{t\_4} + t\_7}}{\sqrt{1 - \left(t\_10 + t\_6 \cdot \sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -125Initial program 43.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6446.9
Applied rewrites46.9%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6446.9
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval46.9
lift-*.f64N/A
*-commutativeN/A
lower-*.f6446.9
Applied rewrites46.9%
Applied rewrites73.8%
Taylor expanded in phi1 around inf
lower-pow.f64N/A
Applied rewrites73.8%
if -125 < phi1 < 1.38000000000000002e-14Initial program 76.9%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites76.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6477.6
Applied rewrites77.6%
if 1.38000000000000002e-14 < phi1 Initial program 58.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6461.0
Applied rewrites61.0%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6461.0
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval61.0
lift-*.f64N/A
*-commutativeN/A
lower-*.f6461.0
Applied rewrites61.0%
Applied rewrites83.4%
Taylor expanded in lambda1 around -inf
fp-cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower--.f6483.4
Applied rewrites83.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (/ phi2 -2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1))
(t_3
(fma
(sin (/ phi2 -2.0))
(cos (/ phi1 2.0))
(* (sin (/ phi1 -2.0)) t_0)))
(t_4 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(if (or (<= phi1 -125.0) (not (<= phi1 1.38e-14)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(/
(pow
(fma
(pow (sin (* -0.5 phi2)) 2.0)
(pow (cos (* 0.5 phi1)) 2.0)
(* (- (pow (sin (* 0.5 phi1)) 2.0)) (pow (cos (* 0.5 phi2)) 2.0)))
2.0)
(* t_3 t_3))
t_2))
(sqrt
(-
1.0
(+
(pow
(fma
(sin (/ phi2 2.0))
(- (cos (/ phi1 -2.0)))
(* t_0 (sin (/ phi1 2.0))))
2.0)
t_2))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 t_2))
(sqrt
(-
(-
1.0
(*
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0)
(* (cos phi2) (cos phi1))))
t_4))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 / -2.0));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = ((cos(phi1) * cos(phi2)) * t_1) * t_1;
double t_3 = fma(sin((phi2 / -2.0)), cos((phi1 / 2.0)), (sin((phi1 / -2.0)) * t_0));
double t_4 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if ((phi1 <= -125.0) || !(phi1 <= 1.38e-14)) {
tmp = R * (2.0 * atan2(sqrt(((pow(fma(pow(sin((-0.5 * phi2)), 2.0), pow(cos((0.5 * phi1)), 2.0), (-pow(sin((0.5 * phi1)), 2.0) * pow(cos((0.5 * phi2)), 2.0))), 2.0) / (t_3 * t_3)) + t_2)), sqrt((1.0 - (pow(fma(sin((phi2 / 2.0)), -cos((phi1 / -2.0)), (t_0 * sin((phi1 / 2.0)))), 2.0) + t_2)))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_4 + t_2)), sqrt(((1.0 - (pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0) * (cos(phi2) * cos(phi1)))) - t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 / -2.0)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1) t_3 = fma(sin(Float64(phi2 / -2.0)), cos(Float64(phi1 / 2.0)), Float64(sin(Float64(phi1 / -2.0)) * t_0)) t_4 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 tmp = 0.0 if ((phi1 <= -125.0) || !(phi1 <= 1.38e-14)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64((fma((sin(Float64(-0.5 * phi2)) ^ 2.0), (cos(Float64(0.5 * phi1)) ^ 2.0), Float64(Float64(-(sin(Float64(0.5 * phi1)) ^ 2.0)) * (cos(Float64(0.5 * phi2)) ^ 2.0))) ^ 2.0) / Float64(t_3 * t_3)) + t_2)), sqrt(Float64(1.0 - Float64((fma(sin(Float64(phi2 / 2.0)), Float64(-cos(Float64(phi1 / -2.0))), Float64(t_0 * sin(Float64(phi1 / 2.0)))) ^ 2.0) + t_2)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + t_2)), sqrt(Float64(Float64(1.0 - Float64((Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Sin[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -125.0], N[Not[LessEqual[phi1, 1.38e-14]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Power[N[(N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[((-N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Power[N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(t$95$3 * t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision]) + N[(t$95$0 * N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\frac{\phi_2}{-2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_3 := \mathsf{fma}\left(\sin \left(\frac{\phi_2}{-2}\right), \cos \left(\frac{\phi_1}{2}\right), \sin \left(\frac{\phi_1}{-2}\right) \cdot t\_0\right)\\
t_4 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -125 \lor \neg \left(\phi_1 \leq 1.38 \cdot 10^{-14}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\frac{{\left(\mathsf{fma}\left({\sin \left(-0.5 \cdot \phi_2\right)}^{2}, {\cos \left(0.5 \cdot \phi_1\right)}^{2}, \left(-{\sin \left(0.5 \cdot \phi_1\right)}^{2}\right) \cdot {\cos \left(0.5 \cdot \phi_2\right)}^{2}\right)\right)}^{2}}{t\_3 \cdot t\_3} + t\_2}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{-2}\right), t\_0 \cdot \sin \left(\frac{\phi_1}{2}\right)\right)\right)}^{2} + t\_2\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + t\_2}}{\sqrt{\left(1 - {\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - t\_4}}\right)\\
\end{array}
\end{array}
if phi1 < -125 or 1.38000000000000002e-14 < phi1 Initial program 52.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6455.0
Applied rewrites55.0%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6455.0
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval55.0
lift-*.f64N/A
*-commutativeN/A
lower-*.f6455.0
Applied rewrites55.0%
Applied rewrites79.3%
Taylor expanded in phi1 around inf
lower-pow.f64N/A
Applied rewrites79.3%
if -125 < phi1 < 1.38000000000000002e-14Initial program 76.9%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites76.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6477.6
Applied rewrites77.6%
Final simplification78.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* -0.5 phi2)))
(t_1 (cos (* 0.5 phi1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (* 0.5 phi2)))
(t_4 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_5 (* (cos phi1) (cos phi2)))
(t_6 (* (* t_5 t_2) t_2)))
(if (or (<= phi2 -1.1e+24) (not (<= phi2 27000000.0)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
t_5
(pow (sin (* 0.5 lambda1)) 2.0)
(/
(pow
(fma
(pow t_0 2.0)
(pow t_1 2.0)
(* (- (pow (sin (* 0.5 phi1)) 2.0)) (pow t_3 2.0)))
2.0)
(pow (fma (sin (* -0.5 phi1)) t_3 (* t_0 t_1)) 2.0))))
(sqrt
(-
1.0
(+
(pow
(fma
(sin (/ phi2 2.0))
(- (cos (/ phi1 -2.0)))
(* (cos (/ phi2 -2.0)) (sin (/ phi1 2.0))))
2.0)
t_6))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 t_6))
(sqrt
(-
(-
1.0
(*
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0)
(* (cos phi2) (cos phi1))))
t_4))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((-0.5 * phi2));
double t_1 = cos((0.5 * phi1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((0.5 * phi2));
double t_4 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_5 = cos(phi1) * cos(phi2);
double t_6 = (t_5 * t_2) * t_2;
double tmp;
if ((phi2 <= -1.1e+24) || !(phi2 <= 27000000.0)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_5, pow(sin((0.5 * lambda1)), 2.0), (pow(fma(pow(t_0, 2.0), pow(t_1, 2.0), (-pow(sin((0.5 * phi1)), 2.0) * pow(t_3, 2.0))), 2.0) / pow(fma(sin((-0.5 * phi1)), t_3, (t_0 * t_1)), 2.0)))), sqrt((1.0 - (pow(fma(sin((phi2 / 2.0)), -cos((phi1 / -2.0)), (cos((phi2 / -2.0)) * sin((phi1 / 2.0)))), 2.0) + t_6)))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_4 + t_6)), sqrt(((1.0 - (pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0) * (cos(phi2) * cos(phi1)))) - t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) t_1 = cos(Float64(0.5 * phi1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(0.5 * phi2)) t_4 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_5 = Float64(cos(phi1) * cos(phi2)) t_6 = Float64(Float64(t_5 * t_2) * t_2) tmp = 0.0 if ((phi2 <= -1.1e+24) || !(phi2 <= 27000000.0)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_5, (sin(Float64(0.5 * lambda1)) ^ 2.0), Float64((fma((t_0 ^ 2.0), (t_1 ^ 2.0), Float64(Float64(-(sin(Float64(0.5 * phi1)) ^ 2.0)) * (t_3 ^ 2.0))) ^ 2.0) / (fma(sin(Float64(-0.5 * phi1)), t_3, Float64(t_0 * t_1)) ^ 2.0)))), sqrt(Float64(1.0 - Float64((fma(sin(Float64(phi2 / 2.0)), Float64(-cos(Float64(phi1 / -2.0))), Float64(cos(Float64(phi2 / -2.0)) * sin(Float64(phi1 / 2.0)))) ^ 2.0) + t_6)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + t_6)), sqrt(Float64(Float64(1.0 - Float64((Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$5 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]}, If[Or[LessEqual[phi2, -1.1e+24], N[Not[LessEqual[phi2, 27000000.0]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Power[N[(N[Power[t$95$0, 2.0], $MachinePrecision] * N[Power[t$95$1, 2.0], $MachinePrecision] + N[((-N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Power[t$95$3, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[Power[N[(N[Sin[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$3 + N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision]) + N[(N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + t$95$6), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_1 := \cos \left(0.5 \cdot \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(0.5 \cdot \phi_2\right)\\
t_4 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_5 := \cos \phi_1 \cdot \cos \phi_2\\
t_6 := \left(t\_5 \cdot t\_2\right) \cdot t\_2\\
\mathbf{if}\;\phi_2 \leq -1.1 \cdot 10^{+24} \lor \neg \left(\phi_2 \leq 27000000\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_5, {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, \frac{{\left(\mathsf{fma}\left({t\_0}^{2}, {t\_1}^{2}, \left(-{\sin \left(0.5 \cdot \phi_1\right)}^{2}\right) \cdot {t\_3}^{2}\right)\right)}^{2}}{{\left(\mathsf{fma}\left(\sin \left(-0.5 \cdot \phi_1\right), t\_3, t\_0 \cdot t\_1\right)\right)}^{2}}\right)}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{-2}\right), \cos \left(\frac{\phi_2}{-2}\right) \cdot \sin \left(\frac{\phi_1}{2}\right)\right)\right)}^{2} + t\_6\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + t\_6}}{\sqrt{\left(1 - {\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - t\_4}}\right)\\
\end{array}
\end{array}
if phi2 < -1.10000000000000001e24 or 2.7e7 < phi2 Initial program 41.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6444.5
Applied rewrites44.5%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6444.5
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval44.5
lift-*.f64N/A
*-commutativeN/A
lower-*.f6444.5
Applied rewrites44.5%
Applied rewrites72.7%
Taylor expanded in lambda2 around 0
Applied rewrites60.2%
if -1.10000000000000001e24 < phi2 < 2.7e7Initial program 80.1%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites80.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6480.7
Applied rewrites80.7%
Final simplification72.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ phi2 2.0)))
(t_1 (cos (* 0.5 phi1)))
(t_2 (cos (* 0.5 phi2)))
(t_3 (* (cos phi1) (cos phi2)))
(t_4 (sin (* -0.5 phi2)))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (* (* t_3 t_5) t_5))
(t_7 (sin (/ phi1 2.0))))
(if (or (<= lambda1 -4.8e-178) (not (<= lambda1 1e-29)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_6))
(sqrt
(-
1.0
(+
(pow (- (* t_7 (cos (/ phi2 2.0))) (* (cos (/ phi1 2.0)) t_0)) 2.0)
t_6))))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
t_3
(pow (sin (* -0.5 lambda2)) 2.0)
(/
(pow
(fma
(pow t_4 2.0)
(pow t_1 2.0)
(* (- (pow (sin (* 0.5 phi1)) 2.0)) (pow t_2 2.0)))
2.0)
(pow (fma (sin (* -0.5 phi1)) t_2 (* t_4 t_1)) 2.0))))
(sqrt
(-
1.0
(+
(pow
(fma t_0 (- (cos (/ phi1 -2.0))) (* (cos (/ phi2 -2.0)) t_7))
2.0)
t_6)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 / 2.0));
double t_1 = cos((0.5 * phi1));
double t_2 = cos((0.5 * phi2));
double t_3 = cos(phi1) * cos(phi2);
double t_4 = sin((-0.5 * phi2));
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = (t_3 * t_5) * t_5;
double t_7 = sin((phi1 / 2.0));
double tmp;
if ((lambda1 <= -4.8e-178) || !(lambda1 <= 1e-29)) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_6)), sqrt((1.0 - (pow(((t_7 * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * t_0)), 2.0) + t_6)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_3, pow(sin((-0.5 * lambda2)), 2.0), (pow(fma(pow(t_4, 2.0), pow(t_1, 2.0), (-pow(sin((0.5 * phi1)), 2.0) * pow(t_2, 2.0))), 2.0) / pow(fma(sin((-0.5 * phi1)), t_2, (t_4 * t_1)), 2.0)))), sqrt((1.0 - (pow(fma(t_0, -cos((phi1 / -2.0)), (cos((phi2 / -2.0)) * t_7)), 2.0) + t_6)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 / 2.0)) t_1 = cos(Float64(0.5 * phi1)) t_2 = cos(Float64(0.5 * phi2)) t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = sin(Float64(-0.5 * phi2)) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(Float64(t_3 * t_5) * t_5) t_7 = sin(Float64(phi1 / 2.0)) tmp = 0.0 if ((lambda1 <= -4.8e-178) || !(lambda1 <= 1e-29)) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_6)), sqrt(Float64(1.0 - Float64((Float64(Float64(t_7 * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * t_0)) ^ 2.0) + t_6)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_3, (sin(Float64(-0.5 * lambda2)) ^ 2.0), Float64((fma((t_4 ^ 2.0), (t_1 ^ 2.0), Float64(Float64(-(sin(Float64(0.5 * phi1)) ^ 2.0)) * (t_2 ^ 2.0))) ^ 2.0) / (fma(sin(Float64(-0.5 * phi1)), t_2, Float64(t_4 * t_1)) ^ 2.0)))), sqrt(Float64(1.0 - Float64((fma(t_0, Float64(-cos(Float64(phi1 / -2.0))), Float64(cos(Float64(phi2 / -2.0)) * t_7)) ^ 2.0) + t_6)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$3 * t$95$5), $MachinePrecision] * t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[lambda1, -4.8e-178], N[Not[LessEqual[lambda1, 1e-29]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$6), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(t$95$7 * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Power[N[(N[Power[t$95$4, 2.0], $MachinePrecision] * N[Power[t$95$1, 2.0], $MachinePrecision] + N[((-N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[Power[N[(N[Sin[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$2 + N[(t$95$4 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$0 * (-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision]) + N[(N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$7), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\phi_2}{2}\right)\\
t_1 := \cos \left(0.5 \cdot \phi_1\right)\\
t_2 := \cos \left(0.5 \cdot \phi_2\right)\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := \left(t\_3 \cdot t\_5\right) \cdot t\_5\\
t_7 := \sin \left(\frac{\phi_1}{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -4.8 \cdot 10^{-178} \lor \neg \left(\lambda_1 \leq 10^{-29}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_6}}{\sqrt{1 - \left({\left(t\_7 \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot t\_0\right)}^{2} + t\_6\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \frac{{\left(\mathsf{fma}\left({t\_4}^{2}, {t\_1}^{2}, \left(-{\sin \left(0.5 \cdot \phi_1\right)}^{2}\right) \cdot {t\_2}^{2}\right)\right)}^{2}}{{\left(\mathsf{fma}\left(\sin \left(-0.5 \cdot \phi_1\right), t\_2, t\_4 \cdot t\_1\right)\right)}^{2}}\right)}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_0, -\cos \left(\frac{\phi_1}{-2}\right), \cos \left(\frac{\phi_2}{-2}\right) \cdot t\_7\right)\right)}^{2} + t\_6\right)}}\right)\\
\end{array}
\end{array}
if lambda1 < -4.8000000000000001e-178 or 9.99999999999999943e-30 < lambda1 Initial program 58.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6459.8
Applied rewrites59.8%
if -4.8000000000000001e-178 < lambda1 < 9.99999999999999943e-30Initial program 79.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6481.2
Applied rewrites81.2%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6481.2
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval81.2
lift-*.f64N/A
*-commutativeN/A
lower-*.f6481.2
Applied rewrites81.2%
Applied rewrites97.8%
Taylor expanded in lambda1 around 0
Applied rewrites97.7%
Final simplification70.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_1 t_2) t_2))))
(if (<= (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))) 1e-11)
(*
R
(*
2.0
(atan2
(sqrt
(fma
t_1
(pow (sin (* -0.5 lambda2)) 2.0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(fma
(- (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(cos phi1)
(pow (cos (* 0.5 phi1)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = cos(phi1) * cos(phi2);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_1 * t_2) * t_2);
double tmp;
if ((2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3)))) <= 1e-11) {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, pow(sin((-0.5 * lambda2)), 2.0), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt(fma(-pow(sin((-0.5 * (lambda2 - lambda1))), 2.0), cos(phi1), pow(cos((0.5 * phi1)), 2.0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_1 * t_2) * t_2)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3)))) <= 1e-11) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, (sin(Float64(-0.5 * lambda2)) ^ 2.0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(fma(Float64(-(sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)), cos(phi1), (cos(Float64(0.5 * phi1)) ^ 2.0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$1 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 1e-11], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[((-N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Cos[phi1], $MachinePrecision] + N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_1 \cdot t\_2\right) \cdot t\_2\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}} \leq 10^{-11}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(-{\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}, \cos \phi_1, {\cos \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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))))))))) < 9.99999999999999939e-12Initial program 100.0%
Taylor expanded in phi2 around 0
Applied rewrites100.0%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites53.2%
Taylor expanded in phi1 around 0
Applied rewrites53.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6486.6
Applied rewrites86.6%
if 9.99999999999999939e-12 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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 62.3%
Taylor expanded in phi2 around 0
Applied rewrites52.6%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites51.7%
Applied rewrites51.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_1 t_2) t_2))))
(if (<= (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))) 1e-11)
(*
R
(*
2.0
(atan2
(sqrt
(fma
t_1
(pow (sin (* -0.5 lambda2)) 2.0)
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 t_0)))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_0 (cos phi1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = cos(phi1) * cos(phi2);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_1 * t_2) * t_2);
double tmp;
if ((2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3)))) <= 1e-11) {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, pow(sin((-0.5 * lambda2)), 2.0), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_0 * cos(phi1))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_1 * t_2) * t_2)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3)))) <= 1e-11) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, (sin(Float64(-0.5 * lambda2)) ^ 2.0), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_0 * cos(phi1))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$1 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 1e-11], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_1 \cdot t\_2\right) \cdot t\_2\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}} \leq 10^{-11}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0 \cdot \cos \phi_1}}\right)\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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))))))))) < 9.99999999999999939e-12Initial program 100.0%
Taylor expanded in phi2 around 0
Applied rewrites100.0%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites53.2%
Taylor expanded in phi1 around 0
Applied rewrites53.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6486.6
Applied rewrites86.6%
if 9.99999999999999939e-12 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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 62.3%
Taylor expanded in phi2 around 0
Applied rewrites52.6%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites51.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_1))
(sqrt
(-
1.0
(+
(pow
(fma
(sin (/ phi2 2.0))
(- (cos (/ phi1 -2.0)))
(* (cos (/ phi2 -2.0)) (sin (/ phi1 2.0))))
2.0)
t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), sqrt((1.0 - (pow(fma(sin((phi2 / 2.0)), -cos((phi1 / -2.0)), (cos((phi2 / -2.0)) * sin((phi1 / 2.0)))), 2.0) + t_1)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64((fma(sin(Float64(phi2 / 2.0)), Float64(-cos(Float64(phi1 / -2.0))), Float64(cos(Float64(phi2 / -2.0)) * sin(Float64(phi1 / 2.0)))) ^ 2.0) + t_1)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision]) + N[(N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \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{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(\sin \left(\frac{\phi_2}{2}\right), -\cos \left(\frac{\phi_1}{-2}\right), \cos \left(\frac{\phi_2}{-2}\right) \cdot \sin \left(\frac{\phi_1}{2}\right)\right)\right)}^{2} + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 64.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.8
Applied rewrites65.8%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-neg.f6465.8
lift-cos.f64N/A
cos-neg-revN/A
lower-cos.f64N/A
lift-/.f64N/A
distribute-neg-frac2N/A
lower-/.f64N/A
metadata-eval65.8
lift-*.f64N/A
*-commutativeN/A
lower-*.f6465.8
Applied rewrites65.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_1))
(sqrt
(-
1.0
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
t_1))))))))
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)) * t_0) * t_0;
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), sqrt((1.0 - (pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + t_1)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_1)), sqrt((1.0d0 - ((((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0) + t_1)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), Math.sqrt((1.0 - (Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0) + t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = ((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), math.sqrt((1.0 - (math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) + t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0; tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt((1.0 - ((((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0) + t_1))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \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{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1}}{\sqrt{1 - \left({\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 64.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.8
Applied rewrites65.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (cos (/ (- phi1 phi2) -2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt (fma t_1 t_1 (* (- t_0) (* (* t_0 (cos phi1)) (cos phi2))))))))))
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 - phi2) / -2.0));
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(fma(t_1, t_1, (-t_0 * ((t_0 * cos(phi1)) * cos(phi2)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = cos(Float64(Float64(phi1 - phi2) / -2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(fma(t_1, t_1, Float64(Float64(-t_0) * Float64(Float64(t_0 * cos(phi1)) * cos(phi2)))))))) 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[Cos[N[(N[(phi1 - phi2), $MachinePrecision] / -2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$1 * t$95$1 + N[((-t$95$0) * N[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \left(\frac{\phi_1 - \phi_2}{-2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\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}}{\sqrt{\mathsf{fma}\left(t\_1, t\_1, \left(-t\_0\right) \cdot \left(\left(t\_0 \cdot \cos \phi_1\right) \cdot \cos \phi_2\right)\right)}}\right)
\end{array}
\end{array}
Initial program 64.3%
lift--.f64N/A
lift-+.f64N/A
associate--r+N/A
lift-*.f64N/A
*-commutativeN/A
fp-cancel-sub-sign-invN/A
Applied rewrites64.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) t_1))
(sqrt (- 1.0 (+ (- 0.5 (* 0.5 (cos (* 2.0 t_2)))) 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 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + t_1)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_2)))) + 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 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + t_1)), sqrt((1.0d0 - ((0.5d0 - (0.5d0 * cos((2.0d0 * t_2)))) + 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.cos(phi1) * Math.cos(phi2)) * t_0) * t_0;
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + t_1)), Math.sqrt((1.0 - ((0.5 - (0.5 * Math.cos((2.0 * t_2)))) + t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = ((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0 t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + t_1)), math.sqrt((1.0 - ((0.5 - (0.5 * math.cos((2.0 * t_2)))) + t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) + t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0; t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + t_1)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_2)))) + 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[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $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] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_1}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 64.3%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
cos-2N/A
cos-sumN/A
lower-*.f64N/A
cos-sumN/A
cos-2N/A
lower-cos.f64N/A
lower-*.f6464.4
Applied rewrites64.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))) (t_1 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
1.0
(/
(fma
(+ (cos (- phi1 phi2)) (cos (+ phi2 phi1)))
(pow t_0 2.0)
(- 1.0 (cos (* 2.0 t_1))))
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 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((1.0 - (fma((cos((phi1 - phi2)) + cos((phi2 + phi1))), pow(t_0, 2.0), (1.0 - cos((2.0 * t_1)))) / 2.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(phi2 + phi1))), (t_0 ^ 2.0), Float64(1.0 - cos(Float64(2.0 * t_1)))) / 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[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $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]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Power[t$95$0, 2.0], $MachinePrecision] + N[(1.0 - N[Cos[N[(2.0 * t$95$1), $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 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - \frac{\mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_2 + \phi_1\right), {t\_0}^{2}, 1 - \cos \left(2 \cdot t\_1\right)\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 64.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
cos-multN/A
associate-*l/N/A
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
Applied rewrites65.3%
Final simplification65.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))) (t_1 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
(- 1.0 (* (pow t_0 2.0) (* (cos phi2) (cos phi1))))
(- 0.5 (* 0.5 (cos (* 2.0 t_1)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((1.0 - (pow(t_0, 2.0) * (cos(phi2) * cos(phi1)))) - (0.5 - (0.5 * cos((2.0 * t_1))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_1) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((1.0d0 - ((t_0 ** 2.0d0) * (cos(phi2) * cos(phi1)))) - (0.5d0 - (0.5d0 * cos((2.0d0 * t_1))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.sqrt(((1.0 - (Math.pow(t_0, 2.0) * (Math.cos(phi2) * Math.cos(phi1)))) - (0.5 - (0.5 * Math.cos((2.0 * t_1))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))), math.sqrt(((1.0 - (math.pow(t_0, 2.0) * (math.cos(phi2) * math.cos(phi1)))) - (0.5 - (0.5 * math.cos((2.0 * t_1))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(Float64(1.0 - Float64((t_0 ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_1) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((1.0 - ((t_0 ^ 2.0) * (cos(phi2) * cos(phi1)))) - (0.5 - (0.5 * cos((2.0 * t_1)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $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]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[t$95$0, 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\left(1 - {t\_0}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}}\right)
\end{array}
\end{array}
Initial program 64.3%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites64.3%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
cos-2N/A
cos-sumN/A
lower-*.f64N/A
cos-sumN/A
cos-2N/A
lower-cos.f64N/A
lower-*.f6464.3
Applied rewrites64.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))))
(if (<= phi1 -2.05e-23)
(*
R
(*
2.0
(atan2
t_2
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_0 (cos phi1)))))))
(if (<= phi1 9e-5)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt (- 1.0 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))))))
(*
R
(*
2.0
(atan2
t_2
(sqrt
(fma
(- (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(cos phi1)
(pow (cos (* 0.5 phi1)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0)));
double tmp;
if (phi1 <= -2.05e-23) {
tmp = R * (2.0 * atan2(t_2, sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_0 * cos(phi1))))));
} else if (phi1 <= 9e-5) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(t_2, sqrt(fma(-pow(sin((-0.5 * (lambda2 - lambda1))), 2.0), cos(phi1), pow(cos((0.5 * phi1)), 2.0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))) tmp = 0.0 if (phi1 <= -2.05e-23) tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_0 * cos(phi1))))))); elseif (phi1 <= 9e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(fma(Float64(-(sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)), cos(phi1), (cos(Float64(0.5 * phi1)) ^ 2.0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.05e-23], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 9e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[((-N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Cos[phi1], $MachinePrecision] + N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}\\
\mathbf{if}\;\phi_1 \leq -2.05 \cdot 10^{-23}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0 \cdot \cos \phi_1}}\right)\\
\mathbf{elif}\;\phi_1 \leq 9 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{\mathsf{fma}\left(-{\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}, \cos \phi_1, {\cos \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -2.05000000000000015e-23Initial program 45.6%
Taylor expanded in phi2 around 0
Applied rewrites47.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites48.1%
if -2.05000000000000015e-23 < phi1 < 9.00000000000000057e-5Initial program 77.3%
Taylor expanded in phi1 around 0
Applied rewrites77.3%
if 9.00000000000000057e-5 < phi1 Initial program 57.7%
Taylor expanded in phi2 around 0
Applied rewrites59.4%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.7%
Applied rewrites59.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))))
(if (<= phi1 -0.055)
(*
R
(*
2.0
(atan2
t_2
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_0 (cos phi1)))))))
(if (<= phi1 0.00046)
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (* t_0 (cos phi2))))
(sqrt
(-
(-
1.0
(*
(pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0)
(* (cos phi2) (cos phi1))))
t_1)))))
(*
R
(*
2.0
(atan2
t_2
(sqrt
(fma
(- (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(cos phi1)
(pow (cos (* 0.5 phi1)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0)));
double tmp;
if (phi1 <= -0.055) {
tmp = R * (2.0 * atan2(t_2, sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_0 * cos(phi1))))));
} else if (phi1 <= 0.00046) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (t_0 * cos(phi2)))), sqrt(((1.0 - (pow(sin(((lambda1 - lambda2) / 2.0)), 2.0) * (cos(phi2) * cos(phi1)))) - t_1))));
} else {
tmp = R * (2.0 * atan2(t_2, sqrt(fma(-pow(sin((-0.5 * (lambda2 - lambda1))), 2.0), cos(phi1), pow(cos((0.5 * phi1)), 2.0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))) tmp = 0.0 if (phi1 <= -0.055) tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_0 * cos(phi1))))))); elseif (phi1 <= 0.00046) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(t_0 * cos(phi2)))), sqrt(Float64(Float64(1.0 - Float64((sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - t_1))))); else tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(fma(Float64(-(sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)), cos(phi1), (cos(Float64(0.5 * phi1)) ^ 2.0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.055], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.00046], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[((-N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Cos[phi1], $MachinePrecision] + N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}\\
\mathbf{if}\;\phi_1 \leq -0.055:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0 \cdot \cos \phi_1}}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.00046:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot \cos \phi_2}}{\sqrt{\left(1 - {\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{\mathsf{fma}\left(-{\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}, \cos \phi_1, {\cos \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0550000000000000003Initial program 44.7%
Taylor expanded in phi2 around 0
Applied rewrites47.0%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites47.4%
if -0.0550000000000000003 < phi1 < 4.6000000000000001e-4Initial program 76.7%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites76.7%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites76.7%
if 4.6000000000000001e-4 < phi1 Initial program 57.7%
Taylor expanded in phi2 around 0
Applied rewrites59.4%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.7%
Applied rewrites59.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))))
(if (<= phi1 -1.35e-23)
(*
R
(*
2.0
(atan2
t_1
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_0 (cos phi1)))))))
(if (<= phi1 2.65e-45)
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(-
(-
1.0
(*
(pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0)
(* (cos phi2) (cos phi1))))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))))))
(*
R
(*
2.0
(atan2
t_1
(sqrt
(fma
(- (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(cos phi1)
(pow (cos (* 0.5 phi1)) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0)));
double tmp;
if (phi1 <= -1.35e-23) {
tmp = R * (2.0 * atan2(t_1, sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_0 * cos(phi1))))));
} else if (phi1 <= 2.65e-45) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt(((1.0 - (pow(sin(((lambda1 - lambda2) / 2.0)), 2.0) * (cos(phi2) * cos(phi1)))) - pow(sin(((phi1 - phi2) / 2.0)), 2.0)))));
} else {
tmp = R * (2.0 * atan2(t_1, sqrt(fma(-pow(sin((-0.5 * (lambda2 - lambda1))), 2.0), cos(phi1), pow(cos((0.5 * phi1)), 2.0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))) tmp = 0.0 if (phi1 <= -1.35e-23) tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_0 * cos(phi1))))))); elseif (phi1 <= 2.65e-45) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(Float64(1.0 - Float64((sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(fma(Float64(-(sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)), cos(phi1), (cos(Float64(0.5 * phi1)) ^ 2.0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -1.35e-23], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 2.65e-45], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[((-N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]) * N[Cos[phi1], $MachinePrecision] + N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := \sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}\\
\mathbf{if}\;\phi_1 \leq -1.35 \cdot 10^{-23}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0 \cdot \cos \phi_1}}\right)\\
\mathbf{elif}\;\phi_1 \leq 2.65 \cdot 10^{-45}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{\left(1 - {\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{\mathsf{fma}\left(-{\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}, \cos \phi_1, {\cos \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -1.34999999999999992e-23Initial program 45.6%
Taylor expanded in phi2 around 0
Applied rewrites47.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites48.1%
if -1.34999999999999992e-23 < phi1 < 2.6499999999999999e-45Initial program 77.8%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites77.8%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites77.7%
if 2.6499999999999999e-45 < phi1 Initial program 59.6%
Taylor expanded in phi2 around 0
Applied rewrites59.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.0%
Applied rewrites59.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0) (cos phi1))))
(if (or (<= phi2 -0.0075) (not (<= phi2 0.0042)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(-
1.0
(fma
(* (cos phi2) (cos phi1))
(pow (sin (* -0.5 lambda2)) 2.0)
(pow (sin (* (- phi2 phi1) -0.5)) 2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (fma (* phi2 phi2) -0.5 1.0) t_0)))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0) * cos(phi1);
double tmp;
if ((phi2 <= -0.0075) || !(phi2 <= 0.0042)) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - fma((cos(phi2) * cos(phi1)), pow(sin((-0.5 * lambda2)), 2.0), pow(sin(((phi2 - phi1) * -0.5)), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (fma((phi2 * phi2), -0.5, 1.0) * t_0))), sqrt((pow(cos((-0.5 * phi1)), 2.0) - t_0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0) * cos(phi1)) tmp = 0.0 if ((phi2 <= -0.0075) || !(phi2 <= 0.0042)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * cos(phi1)), (sin(Float64(-0.5 * lambda2)) ^ 2.0), (sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(fma(Float64(phi2 * phi2), -0.5, 1.0) * t_0))), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - t_0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -0.0075], N[Not[LessEqual[phi2, 0.0042]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2} \cdot \cos \phi_1\\
\mathbf{if}\;\phi_2 \leq -0.0075 \lor \neg \left(\phi_2 \leq 0.0042\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot \cos \phi_1, {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.5, 1\right) \cdot t\_0}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0}}\right)\\
\end{array}
\end{array}
if phi2 < -0.0074999999999999997 or 0.00419999999999999974 < phi2 Initial program 42.3%
Taylor expanded in lambda1 around 0
associate-*r*N/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
Applied rewrites33.0%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-lft-identityN/A
metadata-evalN/A
fp-cancel-sign-sub-invN/A
lower-pow.f64N/A
fp-cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6433.7
Applied rewrites33.7%
if -0.0074999999999999997 < phi2 < 0.00419999999999999974Initial program 81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.2%
Taylor expanded in phi2 around 0
associate-*r*N/A
distribute-lft1-inN/A
+-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites81.2%
Final simplification60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0) (cos phi1))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_0))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0) * cos(phi1);
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_0)), sqrt((pow(cos((-0.5 * phi1)), 2.0) - t_0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = (sin(((lambda2 - lambda1) * (-0.5d0))) ** 2.0d0) * cos(phi1)
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_0)), sqrt(((cos(((-0.5d0) * phi1)) ** 2.0d0) - t_0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin(((lambda2 - lambda1) * -0.5)), 2.0) * Math.cos(phi1);
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_0)), Math.sqrt((Math.pow(Math.cos((-0.5 * phi1)), 2.0) - t_0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin(((lambda2 - lambda1) * -0.5)), 2.0) * math.cos(phi1) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_0)), math.sqrt((math.pow(math.cos((-0.5 * phi1)), 2.0) - t_0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0) * cos(phi1)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_0)), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - t_0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (sin(((lambda2 - lambda1) * -0.5)) ^ 2.0) * cos(phi1); tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_0)), sqrt(((cos((-0.5 * phi1)) ^ 2.0) - t_0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2} \cdot \cos \phi_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0}}\right)
\end{array}
\end{array}
Initial program 64.3%
Taylor expanded in phi2 around 0
Applied rewrites55.2%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites55.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(fma
(pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))
(t_1 (pow (cos (* 0.5 phi1)) 2.0)))
(if (or (<= lambda1 -650000000000.0) (not (<= lambda1 3.2)))
(*
R
(*
2.0
(atan2
t_0
(sqrt (- t_1 (* (pow (sin (* 0.5 lambda1)) 2.0) (cos phi1)))))))
(*
R
(*
2.0
(atan2
t_0
(sqrt (- t_1 (* (pow (sin (* -0.5 lambda2)) 2.0) (cos phi1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0)));
double t_1 = pow(cos((0.5 * phi1)), 2.0);
double tmp;
if ((lambda1 <= -650000000000.0) || !(lambda1 <= 3.2)) {
tmp = R * (2.0 * atan2(t_0, sqrt((t_1 - (pow(sin((0.5 * lambda1)), 2.0) * cos(phi1))))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt((t_1 - (pow(sin((-0.5 * lambda2)), 2.0) * cos(phi1))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))) t_1 = cos(Float64(0.5 * phi1)) ^ 2.0 tmp = 0.0 if ((lambda1 <= -650000000000.0) || !(lambda1 <= 3.2)) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(t_1 - Float64((sin(Float64(0.5 * lambda1)) ^ 2.0) * cos(phi1))))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(t_1 - Float64((sin(Float64(-0.5 * lambda2)) ^ 2.0) * cos(phi1))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[lambda1, -650000000000.0], N[Not[LessEqual[lambda1, 3.2]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(t$95$1 - N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(t$95$1 - N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}\\
t_1 := {\cos \left(0.5 \cdot \phi_1\right)}^{2}\\
\mathbf{if}\;\lambda_1 \leq -650000000000 \lor \neg \left(\lambda_1 \leq 3.2\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{t\_1 - {\sin \left(0.5 \cdot \lambda_1\right)}^{2} \cdot \cos \phi_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{t\_1 - {\sin \left(-0.5 \cdot \lambda_2\right)}^{2} \cdot \cos \phi_1}}\right)\\
\end{array}
\end{array}
if lambda1 < -6.5e11 or 3.2000000000000002 < lambda1 Initial program 49.0%
Taylor expanded in phi2 around 0
Applied rewrites42.5%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites42.2%
Taylor expanded in lambda2 around 0
Applied rewrites42.4%
if -6.5e11 < lambda1 < 3.2000000000000002Initial program 80.9%
Taylor expanded in phi2 around 0
Applied rewrites68.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites62.2%
Taylor expanded in lambda1 around 0
Applied rewrites62.2%
Final simplification51.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(if (or (<= phi1 -2.9e-9) (not (<= phi1 2.65e-45)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt
(-
(pow (cos (* 0.5 phi1)) 2.0)
(* (pow (sin (* -0.5 lambda2)) 2.0) (cos phi1)))))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double tmp;
if ((phi1 <= -2.9e-9) || !(phi1 <= 2.65e-45)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((pow(cos((0.5 * phi1)), 2.0) - (pow(sin((-0.5 * lambda2)), 2.0) * cos(phi1))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - t_0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 tmp = 0.0 if ((phi1 <= -2.9e-9) || !(phi1 <= 2.65e-45)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64((cos(Float64(0.5 * phi1)) ^ 2.0) - Float64((sin(Float64(-0.5 * lambda2)) ^ 2.0) * cos(phi1))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - t_0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi1, -2.9e-9], N[Not[LessEqual[phi1, 2.65e-45]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -2.9 \cdot 10^{-9} \lor \neg \left(\phi_1 \leq 2.65 \cdot 10^{-45}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{{\cos \left(0.5 \cdot \phi_1\right)}^{2} - {\sin \left(-0.5 \cdot \lambda_2\right)}^{2} \cdot \cos \phi_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - t\_0}}\right)\\
\end{array}
\end{array}
if phi1 < -2.89999999999999991e-9 or 2.6499999999999999e-45 < phi1 Initial program 53.4%
Taylor expanded in phi2 around 0
Applied rewrites54.0%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites54.1%
Taylor expanded in lambda1 around 0
Applied rewrites46.7%
if -2.89999999999999991e-9 < phi1 < 2.6499999999999999e-45Initial program 78.0%
Taylor expanded in phi2 around 0
Applied rewrites56.6%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites48.8%
Taylor expanded in phi1 around 0
Applied rewrites48.8%
Taylor expanded in phi1 around 0
lower-sqrt.f64N/A
*-commutativeN/A
*-lft-identityN/A
metadata-evalN/A
fp-cancel-sign-sub-invN/A
lower-fma.f64N/A
Applied rewrites56.4%
Final simplification51.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (sqrt (- 1.0 t_0))))
(if (<= phi1 1.02e-45)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0)))
t_1)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
t_1))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = sqrt((1.0 - t_0));
double tmp;
if (phi1 <= 1.02e-45) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), t_1));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), t_1));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = sqrt(Float64(1.0 - t_0)) tmp = 0.0 if (phi1 <= 1.02e-45) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), t_1))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), t_1))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, 1.02e-45], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := \sqrt{1 - t\_0}\\
\mathbf{if}\;\phi_1 \leq 1.02 \cdot 10^{-45}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{t\_1}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{t\_1}\right)\\
\end{array}
\end{array}
if phi1 < 1.0199999999999999e-45Initial program 66.6%
Taylor expanded in phi2 around 0
Applied rewrites53.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites48.3%
Taylor expanded in phi1 around 0
Applied rewrites39.6%
Taylor expanded in phi1 around 0
lower-sqrt.f64N/A
*-commutativeN/A
*-lft-identityN/A
metadata-evalN/A
fp-cancel-sign-sub-invN/A
lower-fma.f64N/A
Applied rewrites43.5%
if 1.0199999999999999e-45 < phi1 Initial program 59.6%
Taylor expanded in phi2 around 0
Applied rewrites59.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites59.0%
Taylor expanded in phi1 around 0
Applied rewrites26.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (- 1.0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt((1.0 - pow(sin(((lambda2 - lambda1) * -0.5)), 2.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(Float64(1.0 - (sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{1 - {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}}}\right)
\end{array}
Initial program 64.3%
Taylor expanded in phi2 around 0
Applied rewrites55.2%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites51.8%
Taylor expanded in phi1 around 0
Applied rewrites35.2%
Taylor expanded in phi1 around 0
lower-sqrt.f64N/A
*-commutativeN/A
*-lft-identityN/A
metadata-evalN/A
fp-cancel-sign-sub-invN/A
lower-fma.f64N/A
Applied rewrites36.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt t_0)
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_0 (cos phi1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
return R * (2.0 * atan2(sqrt(t_0), sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_0 * cos(phi1))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda2 - lambda1) * (-0.5d0))) ** 2.0d0
code = r * (2.0d0 * atan2(sqrt(t_0), sqrt(((cos(((-0.5d0) * phi1)) ** 2.0d0) - (t_0 * cos(phi1))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin(((lambda2 - lambda1) * -0.5)), 2.0);
return R * (2.0 * Math.atan2(Math.sqrt(t_0), Math.sqrt((Math.pow(Math.cos((-0.5 * phi1)), 2.0) - (t_0 * Math.cos(phi1))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin(((lambda2 - lambda1) * -0.5)), 2.0) return R * (2.0 * math.atan2(math.sqrt(t_0), math.sqrt((math.pow(math.cos((-0.5 * phi1)), 2.0) - (t_0 * math.cos(phi1))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_0 * cos(phi1))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda2 - lambda1) * -0.5)) ^ 2.0; tmp = R * (2.0 * atan2(sqrt(t_0), sqrt(((cos((-0.5 * phi1)) ^ 2.0) - (t_0 * cos(phi1)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0 \cdot \cos \phi_1}}\right)
\end{array}
\end{array}
Initial program 64.3%
Taylor expanded in phi2 around 0
Applied rewrites55.2%
Taylor expanded in phi2 around 0
Applied rewrites48.7%
Taylor expanded in phi1 around 0
Applied rewrites32.5%
herbie shell --seed 2024337
(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))))))))))