
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (* phi1 0.5))))
(*
(*
(atan2
(sqrt
(+
(* (* t_1 t_2) t_2)
(pow (fma t_0 (cos (* phi2 -0.5)) (* (sin (* phi2 -0.5)) t_3)) 2.0)))
(sqrt
(-
1.0
(+
(pow (- (* (cos (* phi2 0.5)) t_0) (* (sin (* phi2 0.5)) t_3)) 2.0)
(* t_1 (fma (cos (- lambda2 lambda1)) -0.5 0.5))))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos(phi2) * cos(phi1);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((phi1 * 0.5));
return (atan2(sqrt((((t_1 * t_2) * t_2) + pow(fma(t_0, cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * t_3)), 2.0))), sqrt((1.0 - (pow(((cos((phi2 * 0.5)) * t_0) - (sin((phi2 * 0.5)) * t_3)), 2.0) + (t_1 * fma(cos((lambda2 - lambda1)), -0.5, 0.5)))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(phi1 * 0.5)) return Float64(Float64(atan(sqrt(Float64(Float64(Float64(t_1 * t_2) * t_2) + (fma(t_0, cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * t_3)) ^ 2.0))), sqrt(Float64(1.0 - Float64((Float64(Float64(cos(Float64(phi2 * 0.5)) * t_0) - Float64(sin(Float64(phi2 * 0.5)) * t_3)) ^ 2.0) + Float64(t_1 * fma(cos(Float64(lambda2 - lambda1)), -0.5, 0.5)))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[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[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(t$95$1 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision] + N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
\left(\tan^{-1}_* \frac{\sqrt{\left(t\_1 \cdot t\_2\right) \cdot t\_2 + {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot t\_3\right)\right)}^{2}}}{\sqrt{1 - \left({\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot t\_0 - \sin \left(\phi_2 \cdot 0.5\right) \cdot t\_3\right)}^{2} + t\_1 \cdot \mathsf{fma}\left(\cos \left(\lambda_2 - \lambda_1\right), -0.5, 0.5\right)\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 58.4%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6460.1
Applied rewrites60.1%
lift-sin.f64N/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift--.f64N/A
sub-negN/A
distribute-rgt-inN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
Applied rewrites77.3%
Applied rewrites77.4%
Final simplification77.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_0 t_1) t_1)))
(t_3 (sqrt t_2)))
(if (<= (* (* (atan2 t_3 (sqrt (- 1.0 t_2))) 2.0) R) 4e+282)
(*
(*
(atan2
t_3
(sqrt
(-
(- 1.0 (* (fma -0.5 (cos (- lambda1 lambda2)) 0.5) t_0))
(fma -0.5 (cos (- phi1 phi2)) 0.5))))
2.0)
R)
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5))
t_0
(-
0.5
(* (fma (cos phi2) (cos phi1) (* (sin phi2) (sin phi1))) 0.5))))
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(* 2.0 R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1);
double t_3 = sqrt(t_2);
double tmp;
if (((atan2(t_3, sqrt((1.0 - t_2))) * 2.0) * R) <= 4e+282) {
tmp = (atan2(t_3, sqrt(((1.0 - (fma(-0.5, cos((lambda1 - lambda2)), 0.5) * t_0)) - fma(-0.5, cos((phi1 - phi2)), 0.5)))) * 2.0) * R;
} else {
tmp = atan2(sqrt(fma((0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)), t_0, (0.5 - (fma(cos(phi2), cos(phi1), (sin(phi2) * sin(phi1))) * 0.5)))), sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * t_1) * t_1)) t_3 = sqrt(t_2) tmp = 0.0 if (Float64(Float64(atan(t_3, sqrt(Float64(1.0 - t_2))) * 2.0) * R) <= 4e+282) tmp = Float64(Float64(atan(t_3, sqrt(Float64(Float64(1.0 - Float64(fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5) * t_0)) - fma(-0.5, cos(Float64(phi1 - phi2)), 0.5)))) * 2.0) * R); else tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(Float64(Float64(Float64(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)), t_0, Float64(0.5 - Float64(fma(cos(phi2), cos(phi1), Float64(sin(phi2) * sin(phi1))) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[t$95$2], $MachinePrecision]}, If[LessEqual[N[(N[(N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], 4e+282], N[(N[(N[ArcTan[t$95$3 / N[Sqrt[N[(N[(1.0 - N[(N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[N[(N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(0.5 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[Sin[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot t\_1\right) \cdot t\_1\\
t_3 := \sqrt{t\_2}\\
\mathbf{if}\;\left(\tan^{-1}_* \frac{t\_3}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R \leq 4 \cdot 10^{+282}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{t\_3}{\sqrt{\left(1 - \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right) \cdot t\_0\right) - \mathsf{fma}\left(-0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \left(\left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5, t\_0, 0.5 - \mathsf{fma}\left(\cos \phi_2, \cos \phi_1, \sin \phi_2 \cdot \sin \phi_1\right) \cdot 0.5\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\end{array}
\end{array}
if (*.f64 R (*.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)))))))))) < 4.00000000000000013e282Initial program 61.3%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6462.1
Applied rewrites62.1%
Applied rewrites61.4%
if 4.00000000000000013e282 < (*.f64 R (*.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 19.7%
Applied rewrites19.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6434.3
Applied rewrites34.3%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lft-identityN/A
lift--.f64N/A
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6438.9
Applied rewrites38.9%
Final simplification59.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (+ phi2 phi1)))
(t_1 (cos (- lambda2 lambda1)))
(t_2 (* (cos phi2) (cos phi1)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (cos (- phi2 phi1)))
(t_5 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_2 t_3) t_3)))
(t_6 (cos (- phi1 phi2))))
(if (<= (atan2 (sqrt t_5) (sqrt (- 1.0 t_5))) 1e-29)
(*
(atan2
(sqrt
(fma
(pow (sin (* (- lambda1 lambda2) 0.5)) 2.0)
t_2
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (- 0.5 (* (- (- 0.5 (* t_1 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
(*
(*
(atan2
(sqrt (fma (fma -0.25 t_1 0.25) (+ t_6 t_0) (fma t_6 -0.5 0.5)))
(sqrt
(- 1.0 (fma (+ t_4 t_0) (+ (* -0.25 t_1) 0.25) (- 0.5 (* t_4 0.5))))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 + phi1));
double t_1 = cos((lambda2 - lambda1));
double t_2 = cos(phi2) * cos(phi1);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = cos((phi2 - phi1));
double t_5 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_2 * t_3) * t_3);
double t_6 = cos((phi1 - phi2));
double tmp;
if (atan2(sqrt(t_5), sqrt((1.0 - t_5))) <= 1e-29) {
tmp = atan2(sqrt(fma(pow(sin(((lambda1 - lambda2) * 0.5)), 2.0), t_2, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - (((0.5 - (t_1 * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = (atan2(sqrt(fma(fma(-0.25, t_1, 0.25), (t_6 + t_0), fma(t_6, -0.5, 0.5))), sqrt((1.0 - fma((t_4 + t_0), ((-0.25 * t_1) + 0.25), (0.5 - (t_4 * 0.5)))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 + phi1)) t_1 = cos(Float64(lambda2 - lambda1)) t_2 = Float64(cos(phi2) * cos(phi1)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = cos(Float64(phi2 - phi1)) t_5 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_2 * t_3) * t_3)) t_6 = cos(Float64(phi1 - phi2)) tmp = 0.0 if (atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))) <= 1e-29) tmp = Float64(atan(sqrt(fma((sin(Float64(Float64(lambda1 - lambda2) * 0.5)) ^ 2.0), t_2, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(t_1 * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = Float64(Float64(atan(sqrt(fma(fma(-0.25, t_1, 0.25), Float64(t_6 + t_0), fma(t_6, -0.5, 0.5))), sqrt(Float64(1.0 - fma(Float64(t_4 + t_0), Float64(Float64(-0.25 * t_1) + 0.25), Float64(0.5 - Float64(t_4 * 0.5)))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$2 * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 1e-29], N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$2 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(t$95$1 * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(-0.25 * t$95$1 + 0.25), $MachinePrecision] * N[(t$95$6 + t$95$0), $MachinePrecision] + N[(t$95$6 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(t$95$4 + t$95$0), $MachinePrecision] * N[(N[(-0.25 * t$95$1), $MachinePrecision] + 0.25), $MachinePrecision] + N[(0.5 - N[(t$95$4 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_2 + \phi_1\right)\\
t_1 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_2 := \cos \phi_2 \cdot \cos \phi_1\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \cos \left(\phi_2 - \phi_1\right)\\
t_5 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_2 \cdot t\_3\right) \cdot t\_3\\
t_6 := \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}} \leq 10^{-29}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)}^{2}, t\_2, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{0.5 - \left(\left(0.5 - t\_1 \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(-0.25, t\_1, 0.25\right), t\_6 + t\_0, \mathsf{fma}\left(t\_6, -0.5, 0.5\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_4 + t\_0, -0.25 \cdot t\_1 + 0.25, 0.5 - t\_4 \cdot 0.5\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (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)))))))) < 9.99999999999999943e-30Initial program 100.0%
Applied rewrites28.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6428.8
Applied rewrites28.8%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
Applied rewrites88.1%
if 9.99999999999999943e-30 < (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 57.1%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6458.9
Applied rewrites58.9%
Applied rewrites59.0%
Applied rewrites58.0%
Applied rewrites57.9%
Final simplification58.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (- lambda1 lambda2) 0.5))
(t_3 (- 0.5 (* (cos (* t_2 2.0)) 0.5)))
(t_4 (* (cos phi2) (cos phi1)))
(t_5 (sin (* phi1 0.5)))
(t_6
(sqrt
(-
1.0
(+
(pow (- (* (cos (* phi2 0.5)) t_5) (* (sin (* phi2 0.5)) t_0)) 2.0)
(* (* t_4 t_1) t_1))))))
(if (<= t_1 -0.25)
(*
(* 2.0 R)
(atan2
(sqrt (fma t_3 t_4 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt
(-
(+ (* (fma (cos phi2) (cos phi1) (* (sin phi2) (sin phi1))) 0.5) 0.5)
(* t_3 t_4)))))
(if (<= t_1 0.11)
(*
(*
(atan2
(sqrt
(+
(* (pow (sin t_2) 2.0) (cos phi1))
(pow
(fma t_5 (cos (* phi2 -0.5)) (* (sin (* phi2 -0.5)) t_0))
2.0)))
t_6)
2.0)
R)
(*
(*
(atan2
(sqrt
(+
(/
(*
(+ (cos (- phi2 phi1)) (cos (+ phi2 phi1)))
(fma -0.5 (cos (- lambda1 lambda2)) 0.5))
2.0)
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
t_6)
2.0)
R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (lambda1 - lambda2) * 0.5;
double t_3 = 0.5 - (cos((t_2 * 2.0)) * 0.5);
double t_4 = cos(phi2) * cos(phi1);
double t_5 = sin((phi1 * 0.5));
double t_6 = sqrt((1.0 - (pow(((cos((phi2 * 0.5)) * t_5) - (sin((phi2 * 0.5)) * t_0)), 2.0) + ((t_4 * t_1) * t_1))));
double tmp;
if (t_1 <= -0.25) {
tmp = (2.0 * R) * atan2(sqrt(fma(t_3, t_4, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((((fma(cos(phi2), cos(phi1), (sin(phi2) * sin(phi1))) * 0.5) + 0.5) - (t_3 * t_4))));
} else if (t_1 <= 0.11) {
tmp = (atan2(sqrt(((pow(sin(t_2), 2.0) * cos(phi1)) + pow(fma(t_5, cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * t_0)), 2.0))), t_6) * 2.0) * R;
} else {
tmp = (atan2(sqrt(((((cos((phi2 - phi1)) + cos((phi2 + phi1))) * fma(-0.5, cos((lambda1 - lambda2)), 0.5)) / 2.0) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), t_6) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(lambda1 - lambda2) * 0.5) t_3 = Float64(0.5 - Float64(cos(Float64(t_2 * 2.0)) * 0.5)) t_4 = Float64(cos(phi2) * cos(phi1)) t_5 = sin(Float64(phi1 * 0.5)) t_6 = sqrt(Float64(1.0 - Float64((Float64(Float64(cos(Float64(phi2 * 0.5)) * t_5) - Float64(sin(Float64(phi2 * 0.5)) * t_0)) ^ 2.0) + Float64(Float64(t_4 * t_1) * t_1)))) tmp = 0.0 if (t_1 <= -0.25) tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(t_3, t_4, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(Float64(Float64(fma(cos(phi2), cos(phi1), Float64(sin(phi2) * sin(phi1))) * 0.5) + 0.5) - Float64(t_3 * t_4))))); elseif (t_1 <= 0.11) tmp = Float64(Float64(atan(sqrt(Float64(Float64((sin(t_2) ^ 2.0) * cos(phi1)) + (fma(t_5, cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * t_0)) ^ 2.0))), t_6) * 2.0) * R); else tmp = Float64(Float64(atan(sqrt(Float64(Float64(Float64(Float64(cos(Float64(phi2 - phi1)) + cos(Float64(phi2 + phi1))) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)) / 2.0) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), t_6) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - N[(N[Cos[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$5), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$4 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, -0.25], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$3 * t$95$4 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[Sin[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$3 * t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 0.11], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$5 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \left(\lambda_1 - \lambda_2\right) \cdot 0.5\\
t_3 := 0.5 - \cos \left(t\_2 \cdot 2\right) \cdot 0.5\\
t_4 := \cos \phi_2 \cdot \cos \phi_1\\
t_5 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_6 := \sqrt{1 - \left({\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot t\_5 - \sin \left(\phi_2 \cdot 0.5\right) \cdot t\_0\right)}^{2} + \left(t\_4 \cdot t\_1\right) \cdot t\_1\right)}\\
\mathbf{if}\;t\_1 \leq -0.25:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, t\_4, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\left(\mathsf{fma}\left(\cos \phi_2, \cos \phi_1, \sin \phi_2 \cdot \sin \phi_1\right) \cdot 0.5 + 0.5\right) - t\_3 \cdot t\_4}}\\
\mathbf{elif}\;t\_1 \leq 0.11:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} \cdot \cos \phi_1 + {\left(\mathsf{fma}\left(t\_5, \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot t\_0\right)\right)}^{2}}}{t\_6} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\frac{\left(\cos \left(\phi_2 - \phi_1\right) + \cos \left(\phi_2 + \phi_1\right)\right) \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}{2} + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{t\_6} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.25Initial program 55.7%
Applied rewrites55.8%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lft-identityN/A
lift--.f64N/A
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6457.1
Applied rewrites57.1%
if -0.25 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.110000000000000001Initial program 63.0%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.6
Applied rewrites64.6%
lift-sin.f64N/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift--.f64N/A
sub-negN/A
distribute-rgt-inN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
Applied rewrites88.4%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-cos.f6483.3
Applied rewrites83.3%
if 0.110000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 56.9%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6459.1
Applied rewrites59.1%
Applied rewrites60.2%
Final simplification66.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_1 t_0) t_0)))
(t_3 (* (- lambda1 lambda2) 0.5))
(t_4 (- 0.5 (* (cos (* t_3 2.0)) 0.5))))
(if (<= t_2 1e-58)
(*
(*
(atan2
(sqrt
(fma (pow (sin t_3) 2.0) (cos phi1) (pow (sin (* phi1 0.5)) 2.0)))
(sqrt (- 1.0 t_2)))
2.0)
R)
(*
(* 2.0 R)
(atan2
(sqrt (fma t_4 t_1 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt
(-
(+ (* (fma (cos phi2) (cos phi1) (* (sin phi2) (sin phi1))) 0.5) 0.5)
(* t_4 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(phi2) * cos(phi1);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_1 * t_0) * t_0);
double t_3 = (lambda1 - lambda2) * 0.5;
double t_4 = 0.5 - (cos((t_3 * 2.0)) * 0.5);
double tmp;
if (t_2 <= 1e-58) {
tmp = (atan2(sqrt(fma(pow(sin(t_3), 2.0), cos(phi1), pow(sin((phi1 * 0.5)), 2.0))), sqrt((1.0 - t_2))) * 2.0) * R;
} else {
tmp = (2.0 * R) * atan2(sqrt(fma(t_4, t_1, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((((fma(cos(phi2), cos(phi1), (sin(phi2) * sin(phi1))) * 0.5) + 0.5) - (t_4 * t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_1 * t_0) * t_0)) t_3 = Float64(Float64(lambda1 - lambda2) * 0.5) t_4 = Float64(0.5 - Float64(cos(Float64(t_3 * 2.0)) * 0.5)) tmp = 0.0 if (t_2 <= 1e-58) tmp = Float64(Float64(atan(sqrt(fma((sin(t_3) ^ 2.0), cos(phi1), (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(1.0 - t_2))) * 2.0) * R); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(t_4, t_1, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(Float64(Float64(fma(cos(phi2), cos(phi1), Float64(sin(phi2) * sin(phi1))) * 0.5) + 0.5) - Float64(t_4 * t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(N[Cos[N[(t$95$3 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 1e-58], N[(N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$4 * t$95$1 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[Sin[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5), $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$4 * 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 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_1 \cdot t\_0\right) \cdot t\_0\\
t_3 := \left(\lambda_1 - \lambda_2\right) \cdot 0.5\\
t_4 := 0.5 - \cos \left(t\_3 \cdot 2\right) \cdot 0.5\\
\mathbf{if}\;t\_2 \leq 10^{-58}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_3}^{2}, \cos \phi_1, {\sin \left(\phi_1 \cdot 0.5\right)}^{2}\right)}}{\sqrt{1 - t\_2}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, t\_1, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\left(\mathsf{fma}\left(\cos \phi_2, \cos \phi_1, \sin \phi_2 \cdot \sin \phi_1\right) \cdot 0.5 + 0.5\right) - t\_4 \cdot t\_1}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1e-58Initial program 66.7%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f6473.9
Applied rewrites73.9%
if 1e-58 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 58.0%
Applied rewrites58.3%
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lft-identityN/A
lift--.f64N/A
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6459.8
Applied rewrites59.8%
Final simplification60.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (- lambda1 lambda2) 0.5))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_1 t_3) t_3)) 1e-58)
(*
(atan2
(sqrt (fma (pow (sin t_0) 2.0) t_1 t_2))
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
(*
(atan2
(sqrt (fma (- 0.5 (* (cos (* t_0 2.0)) 0.5)) t_1 t_2))
(sqrt
(/
(-
(+ (cos (- phi1 phi2)) 1.0)
(*
(+ (cos (- phi2 phi1)) (cos (+ phi2 phi1)))
(fma -0.5 (cos (- lambda1 lambda2)) 0.5)))
2.0)))
(* 2.0 R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) * 0.5;
double t_1 = cos(phi2) * cos(phi1);
double t_2 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_1 * t_3) * t_3)) <= 1e-58) {
tmp = atan2(sqrt(fma(pow(sin(t_0), 2.0), t_1, t_2)), sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = atan2(sqrt(fma((0.5 - (cos((t_0 * 2.0)) * 0.5)), t_1, t_2)), sqrt((((cos((phi1 - phi2)) + 1.0) - ((cos((phi2 - phi1)) + cos((phi2 + phi1))) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))) / 2.0))) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) * 0.5) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_1 * t_3) * t_3)) <= 1e-58) tmp = Float64(atan(sqrt(fma((sin(t_0) ^ 2.0), t_1, t_2)), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(Float64(t_0 * 2.0)) * 0.5)), t_1, t_2)), sqrt(Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + 1.0) - Float64(Float64(cos(Float64(phi2 - phi1)) + cos(Float64(phi2 + phi1))) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))) / 2.0))) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$1 * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision], 1e-58], N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[N[(t$95$0 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\lambda_1 - \lambda_2\right) \cdot 0.5\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_1 \cdot t\_3\right) \cdot t\_3 \leq 10^{-58}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_0}^{2}, t\_1, t\_2\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \left(t\_0 \cdot 2\right) \cdot 0.5, t\_1, t\_2\right)}}{\sqrt{\frac{\left(\cos \left(\phi_1 - \phi_2\right) + 1\right) - \left(\cos \left(\phi_2 - \phi_1\right) + \cos \left(\phi_2 + \phi_1\right)\right) \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}{2}}} \cdot \left(2 \cdot R\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1e-58Initial program 66.7%
Applied rewrites19.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6419.2
Applied rewrites19.2%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
Applied rewrites58.7%
if 1e-58 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 58.0%
Applied rewrites58.3%
Applied rewrites59.4%
Final simplification59.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi2 phi1)))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (- lambda2 lambda1))))
(if (<= (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_1 t_2) t_2)) 1e-58)
(*
(atan2
(sqrt
(fma
(pow (sin (* (- lambda1 lambda2) 0.5)) 2.0)
t_1
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (- 0.5 (* (- (- 0.5 (* t_3 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
(*
(*
(atan2
(sqrt (- (fma t_1 (fma t_3 -0.5 0.5) 0.5) (* (cos (- phi1 phi2)) 0.5)))
(sqrt
(-
1.0
(fma
(+ t_0 (cos (+ phi2 phi1)))
(+ (* -0.25 t_3) 0.25)
(- 0.5 (* t_0 0.5))))))
2.0)
R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 - phi1));
double t_1 = cos(phi2) * cos(phi1);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((lambda2 - lambda1));
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_1 * t_2) * t_2)) <= 1e-58) {
tmp = atan2(sqrt(fma(pow(sin(((lambda1 - lambda2) * 0.5)), 2.0), t_1, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - (((0.5 - (t_3 * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = (atan2(sqrt((fma(t_1, fma(t_3, -0.5, 0.5), 0.5) - (cos((phi1 - phi2)) * 0.5))), sqrt((1.0 - fma((t_0 + cos((phi2 + phi1))), ((-0.25 * t_3) + 0.25), (0.5 - (t_0 * 0.5)))))) * 2.0) * R;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 - phi1)) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(lambda2 - lambda1)) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_1 * t_2) * t_2)) <= 1e-58) tmp = Float64(atan(sqrt(fma((sin(Float64(Float64(lambda1 - lambda2) * 0.5)) ^ 2.0), t_1, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(t_3 * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = Float64(Float64(atan(sqrt(Float64(fma(t_1, fma(t_3, -0.5, 0.5), 0.5) - Float64(cos(Float64(phi1 - phi2)) * 0.5))), sqrt(Float64(1.0 - fma(Float64(t_0 + cos(Float64(phi2 + phi1))), Float64(Float64(-0.25 * t_3) + 0.25), Float64(0.5 - Float64(t_0 * 0.5)))))) * 2.0) * R); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[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[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[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], 1e-58], N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$1 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(t$95$3 * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[(N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$3 * -0.5 + 0.5), $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(t$95$0 + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.25 * t$95$3), $MachinePrecision] + 0.25), $MachinePrecision] + N[(0.5 - N[(t$95$0 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_2 - \phi_1\right)\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\lambda_2 - \lambda_1\right)\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_1 \cdot t\_2\right) \cdot t\_2 \leq 10^{-58}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)}^{2}, t\_1, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{0.5 - \left(\left(0.5 - t\_3 \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, \mathsf{fma}\left(t\_3, -0.5, 0.5\right), 0.5\right) - \cos \left(\phi_1 - \phi_2\right) \cdot 0.5}}{\sqrt{1 - \mathsf{fma}\left(t\_0 + \cos \left(\phi_2 + \phi_1\right), -0.25 \cdot t\_3 + 0.25, 0.5 - t\_0 \cdot 0.5\right)}} \cdot 2\right) \cdot R\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1e-58Initial program 66.7%
Applied rewrites19.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6419.2
Applied rewrites19.2%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
Applied rewrites58.7%
if 1e-58 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 58.0%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6459.8
Applied rewrites59.8%
Applied rewrites59.6%
Applied rewrites58.6%
Applied rewrites58.7%
Final simplification58.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (- phi2 phi1)))
(t_3 (cos (- lambda2 lambda1)))
(t_4 (fma t_3 -0.5 0.5)))
(if (<= (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_0 t_1) t_1)) 1e-58)
(*
(atan2
(sqrt
(fma
(pow (sin (* (- lambda1 lambda2) 0.5)) 2.0)
t_0
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (- 0.5 (* (- (- 0.5 (* t_3 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
(*
(atan2
(sqrt (fma (* t_4 (cos phi1)) (cos phi2) (- 0.5 (* t_2 0.5))))
(sqrt (fma (* (- (cos phi1)) (cos phi2)) t_4 (fma t_2 0.5 0.5))))
(* 2.0 R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((phi2 - phi1));
double t_3 = cos((lambda2 - lambda1));
double t_4 = fma(t_3, -0.5, 0.5);
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1)) <= 1e-58) {
tmp = atan2(sqrt(fma(pow(sin(((lambda1 - lambda2) * 0.5)), 2.0), t_0, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - (((0.5 - (t_3 * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = atan2(sqrt(fma((t_4 * cos(phi1)), cos(phi2), (0.5 - (t_2 * 0.5)))), sqrt(fma((-cos(phi1) * cos(phi2)), t_4, fma(t_2, 0.5, 0.5)))) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(phi2 - phi1)) t_3 = cos(Float64(lambda2 - lambda1)) t_4 = fma(t_3, -0.5, 0.5) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * t_1) * t_1)) <= 1e-58) tmp = Float64(atan(sqrt(fma((sin(Float64(Float64(lambda1 - lambda2) * 0.5)) ^ 2.0), t_0, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(t_3 * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = Float64(atan(sqrt(fma(Float64(t_4 * cos(phi1)), cos(phi2), Float64(0.5 - Float64(t_2 * 0.5)))), sqrt(fma(Float64(Float64(-cos(phi1)) * cos(phi2)), t_4, fma(t_2, 0.5, 0.5)))) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * -0.5 + 0.5), $MachinePrecision]}, If[LessEqual[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 1e-58], N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(t$95$3 * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(N[(t$95$4 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[((-N[Cos[phi1], $MachinePrecision]) * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4 + N[(t$95$2 * 0.5 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(\phi_2 - \phi_1\right)\\
t_3 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_4 := \mathsf{fma}\left(t\_3, -0.5, 0.5\right)\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot t\_1\right) \cdot t\_1 \leq 10^{-58}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)}^{2}, t\_0, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{0.5 - \left(\left(0.5 - t\_3 \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4 \cdot \cos \phi_1, \cos \phi_2, 0.5 - t\_2 \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(\left(-\cos \phi_1\right) \cdot \cos \phi_2, t\_4, \mathsf{fma}\left(t\_2, 0.5, 0.5\right)\right)}} \cdot \left(2 \cdot R\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1e-58Initial program 66.7%
Applied rewrites19.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6419.2
Applied rewrites19.2%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
Applied rewrites58.7%
if 1e-58 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 58.0%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6459.8
Applied rewrites59.8%
lift-sin.f64N/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift--.f64N/A
sub-negN/A
distribute-rgt-inN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites76.6%
Applied rewrites58.3%
Final simplification58.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))) (t_1 (cos (- phi1 phi2))))
(*
(*
(atan2
(sqrt
(+
(* (* (* (cos phi2) (cos phi1)) t_0) t_0)
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 -0.5))
(* (sin (* phi2 -0.5)) (cos (* phi1 0.5))))
2.0)))
(sqrt
(-
1.0
(fma
(fma -0.25 (cos (- lambda2 lambda1)) 0.25)
(+ t_1 (cos (+ phi2 phi1)))
(fma t_1 -0.5 0.5)))))
2.0)
R)))
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));
return (atan2(sqrt(((((cos(phi2) * cos(phi1)) * t_0) * t_0) + pow(fma(sin((phi1 * 0.5)), cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * cos((phi1 * 0.5)))), 2.0))), sqrt((1.0 - fma(fma(-0.25, cos((lambda2 - lambda1)), 0.25), (t_1 + cos((phi2 + phi1))), fma(t_1, -0.5, 0.5))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = cos(Float64(phi1 - phi2)) return Float64(Float64(atan(sqrt(Float64(Float64(Float64(Float64(cos(phi2) * cos(phi1)) * t_0) * t_0) + (fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0))), sqrt(Float64(1.0 - fma(fma(-0.25, cos(Float64(lambda2 - lambda1)), 0.25), Float64(t_1 + cos(Float64(phi2 + phi1))), fma(t_1, -0.5, 0.5))))) * 2.0) * R) 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[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(-0.25 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + 0.25), $MachinePrecision] * N[(t$95$1 + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
\left(\tan^{-1}_* \frac{\sqrt{\left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right) \cdot t\_0 + {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(\mathsf{fma}\left(-0.25, \cos \left(\lambda_2 - \lambda_1\right), 0.25\right), t\_1 + \cos \left(\phi_2 + \phi_1\right), \mathsf{fma}\left(t\_1, -0.5, 0.5\right)\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 58.4%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6460.1
Applied rewrites60.1%
lift-sin.f64N/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift--.f64N/A
sub-negN/A
distribute-rgt-inN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
Applied rewrites77.3%
Applied rewrites60.4%
Final simplification60.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(*
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi2 0.5))
(- (cos (* phi1 0.5)))
(* (cos (* phi2 0.5)) (sin (* phi1 0.5))))
2.0)
(* (* (* (cos phi2) (cos phi1)) t_0) t_0)))
(sqrt
(fma
(fma (cos (- lambda2 lambda1)) -0.5 0.5)
(* (- (cos phi1)) (cos phi2))
(fma (cos (- phi2 phi1)) 0.5 0.5))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return (atan2(sqrt((pow(fma(sin((phi2 * 0.5)), -cos((phi1 * 0.5)), (cos((phi2 * 0.5)) * sin((phi1 * 0.5)))), 2.0) + (((cos(phi2) * cos(phi1)) * t_0) * t_0))), sqrt(fma(fma(cos((lambda2 - lambda1)), -0.5, 0.5), (-cos(phi1) * cos(phi2)), fma(cos((phi2 - phi1)), 0.5, 0.5)))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(Float64(atan(sqrt(Float64((fma(sin(Float64(phi2 * 0.5)), Float64(-cos(Float64(phi1 * 0.5))), Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(Float64(Float64(cos(phi2) * cos(phi1)) * t_0) * t_0))), sqrt(fma(fma(cos(Float64(lambda2 - lambda1)), -0.5, 0.5), Float64(Float64(-cos(phi1)) * cos(phi2)), fma(cos(Float64(phi2 - phi1)), 0.5, 0.5)))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]) + N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * N[((-N[Cos[phi1], $MachinePrecision]) * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * 0.5 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\left(\tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_2 \cdot 0.5\right), -\cos \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right)\right)\right)}^{2} + \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \left(\lambda_2 - \lambda_1\right), -0.5, 0.5\right), \left(-\cos \phi_1\right) \cdot \cos \phi_2, \mathsf{fma}\left(\cos \left(\phi_2 - \phi_1\right), 0.5, 0.5\right)\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 58.4%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6460.1
Applied rewrites60.1%
lift-sin.f64N/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift--.f64N/A
sub-negN/A
distribute-rgt-inN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites77.3%
Applied rewrites59.7%
Final simplification59.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi2) (cos phi1))))
(*
(*
(atan2
(sqrt
(+
(* (* t_1 t_0) t_0)
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 -0.5))
(* (sin (* phi2 -0.5)) (cos (* phi1 0.5))))
2.0)))
(sqrt
(-
1.0
(fma
(fma (cos (- lambda2 lambda1)) -0.5 0.5)
t_1
(fma (cos (- phi1 phi2)) -0.5 0.5)))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi2) * cos(phi1);
return (atan2(sqrt((((t_1 * t_0) * t_0) + pow(fma(sin((phi1 * 0.5)), cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * cos((phi1 * 0.5)))), 2.0))), sqrt((1.0 - fma(fma(cos((lambda2 - lambda1)), -0.5, 0.5), t_1, fma(cos((phi1 - phi2)), -0.5, 0.5))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi2) * cos(phi1)) return Float64(Float64(atan(sqrt(Float64(Float64(Float64(t_1 * t_0) * t_0) + (fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * cos(Float64(phi1 * 0.5)))) ^ 2.0))), sqrt(Float64(1.0 - fma(fma(cos(Float64(lambda2 - lambda1)), -0.5, 0.5), t_1, fma(cos(Float64(phi1 - phi2)), -0.5, 0.5))))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] + N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * t$95$1 + N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
\left(\tan^{-1}_* \frac{\sqrt{\left(t\_1 \cdot t\_0\right) \cdot t\_0 + {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(\mathsf{fma}\left(\cos \left(\lambda_2 - \lambda_1\right), -0.5, 0.5\right), t\_1, \mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), -0.5, 0.5\right)\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 58.4%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6460.1
Applied rewrites60.1%
lift-sin.f64N/A
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift--.f64N/A
sub-negN/A
distribute-rgt-inN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
Applied rewrites77.3%
Applied rewrites59.7%
Final simplification59.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (- phi1 phi2) 0.5)) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(*
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi2) (cos phi1)) t_1) t_1)))
(sqrt
(-
1.0
(/
(fma
(- (cos (- t_0 t_0)) (cos (* t_0 2.0)))
2.0
(*
(*
(+ (cos (- phi1 phi2)) (cos (+ phi2 phi1)))
(- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5)))
2.0))
4.0))))
2.0)
R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (phi1 - phi2) * 0.5;
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return (atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi2) * cos(phi1)) * t_1) * t_1))), sqrt((1.0 - (fma((cos((t_0 - t_0)) - cos((t_0 * 2.0))), 2.0, (((cos((phi1 - phi2)) + cos((phi2 + phi1))) * (0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5))) * 2.0)) / 4.0)))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(phi1 - phi2) * 0.5) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(Float64(atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi2) * cos(phi1)) * t_1) * t_1))), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(t_0 - t_0)) - cos(Float64(t_0 * 2.0))), 2.0, Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(phi2 + phi1))) * Float64(0.5 - Float64(cos(Float64(Float64(Float64(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5))) * 2.0)) / 4.0)))) * 2.0) * R) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(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[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(t$95$0 - t$95$0), $MachinePrecision]], $MachinePrecision] - N[Cos[N[(t$95$0 * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[N[(N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision] / 4.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\phi_1 - \phi_2\right) \cdot 0.5\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\left(\tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \frac{\mathsf{fma}\left(\cos \left(t\_0 - t\_0\right) - \cos \left(t\_0 \cdot 2\right), 2, \left(\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_2 + \phi_1\right)\right) \cdot \left(0.5 - \cos \left(\left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)\right) \cdot 2\right)}{4}}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 58.4%
Applied rewrites59.2%
Final simplification59.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))
(t_2 (* (- lambda1 lambda2) 0.5)))
(*
(atan2
(sqrt (fma (pow (sin t_2) 2.0) t_0 (- 0.5 t_1)))
(sqrt (- (+ t_1 0.5) (* (- 0.5 (* (cos (* t_2 2.0)) 0.5)) t_0))))
(* 2.0 R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5;
double t_2 = (lambda1 - lambda2) * 0.5;
return atan2(sqrt(fma(pow(sin(t_2), 2.0), t_0, (0.5 - t_1))), sqrt(((t_1 + 0.5) - ((0.5 - (cos((t_2 * 2.0)) * 0.5)) * t_0)))) * (2.0 * R);
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5) t_2 = Float64(Float64(lambda1 - lambda2) * 0.5) return Float64(atan(sqrt(fma((sin(t_2) ^ 2.0), t_0, Float64(0.5 - t_1))), sqrt(Float64(Float64(t_1 + 0.5) - Float64(Float64(0.5 - Float64(cos(Float64(t_2 * 2.0)) * 0.5)) * t_0)))) * Float64(2.0 * R)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$1 + 0.5), $MachinePrecision] - N[(N[(0.5 - N[(N[Cos[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_2 := \left(\lambda_1 - \lambda_2\right) \cdot 0.5\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_2}^{2}, t\_0, 0.5 - t\_1\right)}}{\sqrt{\left(t\_1 + 0.5\right) - \left(0.5 - \cos \left(t\_2 \cdot 2\right) \cdot 0.5\right) \cdot t\_0}} \cdot \left(2 \cdot R\right)
\end{array}
\end{array}
Initial program 58.4%
Applied rewrites56.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
sqr-sin-aN/A
lift-sin.f64N/A
lift-sin.f64N/A
pow2N/A
lower-pow.f6458.4
lift-/.f64N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f6458.4
Applied rewrites58.4%
Final simplification58.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (- lambda1 lambda2) 0.5))
(t_1 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5)))
(t_2 (fma (cos (- lambda1 lambda2)) -0.5 0.5))
(t_3 (cos (- phi2 phi1)))
(t_4 (cos (- lambda2 lambda1)))
(t_5 (* (cos phi2) (cos phi1))))
(if (<= phi2 -4.2e-7)
(*
(*
(atan2
(sqrt (fma t_2 (cos phi2) (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt
(-
1.0
(fma
(+ t_3 (cos (+ phi2 phi1)))
(+ (* -0.25 t_4) 0.25)
(- 0.5 (* t_3 0.5))))))
2.0)
R)
(if (<= phi2 9.8e+14)
(*
(atan2
(sqrt (fma (pow (sin t_0) 2.0) t_5 t_1))
(sqrt (- 0.5 (* (- (- 0.5 (* t_4 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
(*
(atan2
(sqrt (fma (- 0.5 (* (cos (* t_0 2.0)) 0.5)) t_5 t_1))
(sqrt (- 0.5 (* (- t_2 0.5) (cos phi2)))))
(* 2.0 R))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) * 0.5;
double t_1 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_2 = fma(cos((lambda1 - lambda2)), -0.5, 0.5);
double t_3 = cos((phi2 - phi1));
double t_4 = cos((lambda2 - lambda1));
double t_5 = cos(phi2) * cos(phi1);
double tmp;
if (phi2 <= -4.2e-7) {
tmp = (atan2(sqrt(fma(t_2, cos(phi2), pow(sin((phi2 * -0.5)), 2.0))), sqrt((1.0 - fma((t_3 + cos((phi2 + phi1))), ((-0.25 * t_4) + 0.25), (0.5 - (t_3 * 0.5)))))) * 2.0) * R;
} else if (phi2 <= 9.8e+14) {
tmp = atan2(sqrt(fma(pow(sin(t_0), 2.0), t_5, t_1)), sqrt((0.5 - (((0.5 - (t_4 * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = atan2(sqrt(fma((0.5 - (cos((t_0 * 2.0)) * 0.5)), t_5, t_1)), sqrt((0.5 - ((t_2 - 0.5) * cos(phi2))))) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) * 0.5) t_1 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_2 = fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) t_3 = cos(Float64(phi2 - phi1)) t_4 = cos(Float64(lambda2 - lambda1)) t_5 = Float64(cos(phi2) * cos(phi1)) tmp = 0.0 if (phi2 <= -4.2e-7) tmp = Float64(Float64(atan(sqrt(fma(t_2, cos(phi2), (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64(1.0 - fma(Float64(t_3 + cos(Float64(phi2 + phi1))), Float64(Float64(-0.25 * t_4) + 0.25), Float64(0.5 - Float64(t_3 * 0.5)))))) * 2.0) * R); elseif (phi2 <= 9.8e+14) tmp = Float64(atan(sqrt(fma((sin(t_0) ^ 2.0), t_5, t_1)), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(t_4 * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(Float64(t_0 * 2.0)) * 0.5)), t_5, t_1)), sqrt(Float64(0.5 - Float64(Float64(t_2 - 0.5) * cos(phi2))))) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -4.2e-7], N[(N[(N[ArcTan[N[Sqrt[N[(t$95$2 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(t$95$3 + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(-0.25 * t$95$4), $MachinePrecision] + 0.25), $MachinePrecision] + N[(0.5 - N[(t$95$3 * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], If[LessEqual[phi2, 9.8e+14], N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] * t$95$5 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(t$95$4 * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[N[(t$95$0 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$5 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(t$95$2 - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\lambda_1 - \lambda_2\right) \cdot 0.5\\
t_1 := 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_2 := \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)\\
t_3 := \cos \left(\phi_2 - \phi_1\right)\\
t_4 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_5 := \cos \phi_2 \cdot \cos \phi_1\\
\mathbf{if}\;\phi_2 \leq -4.2 \cdot 10^{-7}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, \cos \phi_2, {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_3 + \cos \left(\phi_2 + \phi_1\right), -0.25 \cdot t\_4 + 0.25, 0.5 - t\_3 \cdot 0.5\right)}} \cdot 2\right) \cdot R\\
\mathbf{elif}\;\phi_2 \leq 9.8 \cdot 10^{+14}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_0}^{2}, t\_5, t\_1\right)}}{\sqrt{0.5 - \left(\left(0.5 - t\_4 \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \left(t\_0 \cdot 2\right) \cdot 0.5, t\_5, t\_1\right)}}{\sqrt{0.5 - \left(t\_2 - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\end{array}
\end{array}
if phi2 < -4.2e-7Initial program 44.9%
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
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6447.5
Applied rewrites47.5%
Applied rewrites47.7%
Applied rewrites46.0%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites47.3%
if -4.2e-7 < phi2 < 9.8e14Initial program 71.5%
Applied rewrites66.9%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6467.0
Applied rewrites67.0%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
Applied rewrites70.9%
if 9.8e14 < phi2 Initial program 45.3%
Applied rewrites45.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6422.0
Applied rewrites22.0%
Taylor expanded in phi1 around 0
Applied rewrites49.5%
Final simplification59.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (- lambda1 lambda2) 0.5))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5)))
(t_3
(*
(atan2
(sqrt (fma (- 0.5 (* (cos (* t_0 2.0)) 0.5)) t_1 t_2))
(sqrt
(-
0.5
(* (- (fma (cos (- lambda1 lambda2)) -0.5 0.5) 0.5) (cos phi2)))))
(* 2.0 R))))
(if (<= phi2 -1.6e-5)
t_3
(if (<= phi2 9.8e+14)
(*
(atan2
(sqrt (fma (pow (sin t_0) 2.0) t_1 t_2))
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) * 0.5;
double t_1 = cos(phi2) * cos(phi1);
double t_2 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_3 = atan2(sqrt(fma((0.5 - (cos((t_0 * 2.0)) * 0.5)), t_1, t_2)), sqrt((0.5 - ((fma(cos((lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * (2.0 * R);
double tmp;
if (phi2 <= -1.6e-5) {
tmp = t_3;
} else if (phi2 <= 9.8e+14) {
tmp = atan2(sqrt(fma(pow(sin(t_0), 2.0), t_1, t_2)), sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) * 0.5) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_3 = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(Float64(t_0 * 2.0)) * 0.5)), t_1, t_2)), sqrt(Float64(0.5 - Float64(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * Float64(2.0 * R)) tmp = 0.0 if (phi2 <= -1.6e-5) tmp = t_3; elseif (phi2 <= 9.8e+14) tmp = Float64(atan(sqrt(fma((sin(t_0) ^ 2.0), t_1, t_2)), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[N[(t$95$0 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.6e-5], t$95$3, If[LessEqual[phi2, 9.8e+14], N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\lambda_1 - \lambda_2\right) \cdot 0.5\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_3 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \left(t\_0 \cdot 2\right) \cdot 0.5, t\_1, t\_2\right)}}{\sqrt{0.5 - \left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_2 \leq -1.6 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 9.8 \cdot 10^{+14}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_0}^{2}, t\_1, t\_2\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -1.59999999999999993e-5 or 9.8e14 < phi2 Initial program 45.1%
Applied rewrites45.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6421.7
Applied rewrites21.7%
Taylor expanded in phi1 around 0
Applied rewrites47.8%
if -1.59999999999999993e-5 < phi2 < 9.8e14Initial program 71.5%
Applied rewrites66.9%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6467.0
Applied rewrites67.0%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
Applied rewrites70.9%
Final simplification59.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5))))
(if (<= phi1 -6e+23)
(*
(atan2
(sqrt
(fma t_2 t_1 (- 0.5 (* (cos (fma (/ phi2 phi1) (- phi1) phi1)) 0.5))))
t_0)
(* 2.0 R))
(if (<= phi1 0.65)
(*
(atan2
(sqrt
(fma t_2 t_1 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt
(-
0.5
(* (- (fma (cos (- lambda1 lambda2)) -0.5 0.5) 0.5) (cos phi2)))))
(* 2.0 R))
(*
(atan2 (sqrt (fma t_2 t_1 (- 0.5 (* (cos phi1) 0.5)))) t_0)
(* 2.0 R))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))));
double t_1 = cos(phi2) * cos(phi1);
double t_2 = 0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5);
double tmp;
if (phi1 <= -6e+23) {
tmp = atan2(sqrt(fma(t_2, t_1, (0.5 - (cos(fma((phi2 / phi1), -phi1, phi1)) * 0.5)))), t_0) * (2.0 * R);
} else if (phi1 <= 0.65) {
tmp = atan2(sqrt(fma(t_2, t_1, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - ((fma(cos((lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * (2.0 * R);
} else {
tmp = atan2(sqrt(fma(t_2, t_1, (0.5 - (cos(phi1) * 0.5)))), t_0) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1)))) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) tmp = 0.0 if (phi1 <= -6e+23) tmp = Float64(atan(sqrt(fma(t_2, t_1, Float64(0.5 - Float64(cos(fma(Float64(phi2 / phi1), Float64(-phi1), phi1)) * 0.5)))), t_0) * Float64(2.0 * R)); elseif (phi1 <= 0.65) tmp = Float64(atan(sqrt(fma(t_2, t_1, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * Float64(2.0 * R)); else tmp = Float64(atan(sqrt(fma(t_2, t_1, Float64(0.5 - Float64(cos(phi1) * 0.5)))), t_0) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(N[Cos[N[(N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -6e+23], N[(N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$1 + N[(0.5 - N[(N[Cos[N[(N[(phi2 / phi1), $MachinePrecision] * (-phi1) + phi1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.65], N[(N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$1 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$1 + N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := 0.5 - \cos \left(\left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
\mathbf{if}\;\phi_1 \leq -6 \cdot 10^{+23}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_1, 0.5 - \cos \left(\mathsf{fma}\left(\frac{\phi_2}{\phi_1}, -\phi_1, \phi_1\right)\right) \cdot 0.5\right)}}{t\_0} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\phi_1 \leq 0.65:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_1, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{0.5 - \left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_1, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{t\_0} \cdot \left(2 \cdot R\right)\\
\end{array}
\end{array}
if phi1 < -6.0000000000000002e23Initial program 49.5%
Applied rewrites49.5%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6451.4
Applied rewrites51.4%
Taylor expanded in phi1 around -inf
associate-*r*N/A
neg-mul-1N/A
sub-negN/A
metadata-evalN/A
distribute-rgt-inN/A
neg-mul-1N/A
remove-double-negN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-neg.f6451.4
Applied rewrites51.4%
if -6.0000000000000002e23 < phi1 < 0.650000000000000022Initial program 72.0%
Applied rewrites67.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6440.5
Applied rewrites40.5%
Taylor expanded in phi1 around 0
Applied rewrites67.4%
if 0.650000000000000022 < phi1 Initial program 42.7%
Applied rewrites43.7%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6445.9
Applied rewrites45.9%
Taylor expanded in phi2 around 0
lower-cos.f6446.6
Applied rewrites46.6%
Final simplification57.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5)))
(t_2 (cos (- lambda2 lambda1)))
(t_3 (sqrt (- 0.5 (* (- (- 0.5 (* t_2 0.5)) 0.5) (cos phi1)))))
(t_4 (- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5))))
(if (<= phi1 -6e+23)
(* (atan2 (sqrt (fma (fma t_2 -0.5 0.5) t_0 t_1)) t_3) (* 2.0 R))
(if (<= phi1 0.65)
(*
(atan2
(sqrt (fma t_4 t_0 t_1))
(sqrt
(-
0.5
(* (- (fma (cos (- lambda1 lambda2)) -0.5 0.5) 0.5) (cos phi2)))))
(* 2.0 R))
(*
(atan2 (sqrt (fma t_4 t_0 (- 0.5 (* (cos phi1) 0.5)))) t_3)
(* 2.0 R))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_2 = cos((lambda2 - lambda1));
double t_3 = sqrt((0.5 - (((0.5 - (t_2 * 0.5)) - 0.5) * cos(phi1))));
double t_4 = 0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5);
double tmp;
if (phi1 <= -6e+23) {
tmp = atan2(sqrt(fma(fma(t_2, -0.5, 0.5), t_0, t_1)), t_3) * (2.0 * R);
} else if (phi1 <= 0.65) {
tmp = atan2(sqrt(fma(t_4, t_0, t_1)), sqrt((0.5 - ((fma(cos((lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * (2.0 * R);
} else {
tmp = atan2(sqrt(fma(t_4, t_0, (0.5 - (cos(phi1) * 0.5)))), t_3) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_2 = cos(Float64(lambda2 - lambda1)) t_3 = sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(t_2 * 0.5)) - 0.5) * cos(phi1)))) t_4 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) tmp = 0.0 if (phi1 <= -6e+23) tmp = Float64(atan(sqrt(fma(fma(t_2, -0.5, 0.5), t_0, t_1)), t_3) * Float64(2.0 * R)); elseif (phi1 <= 0.65) tmp = Float64(atan(sqrt(fma(t_4, t_0, t_1)), sqrt(Float64(0.5 - Float64(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * Float64(2.0 * R)); else tmp = Float64(atan(sqrt(fma(t_4, t_0, Float64(0.5 - Float64(cos(phi1) * 0.5)))), t_3) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(t$95$2 * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(N[Cos[N[(N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -6e+23], N[(N[ArcTan[N[Sqrt[N[(N[(t$95$2 * -0.5 + 0.5), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.65], N[(N[ArcTan[N[Sqrt[N[(t$95$4 * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(t$95$4 * t$95$0 + N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_2 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_3 := \sqrt{0.5 - \left(\left(0.5 - t\_2 \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}\\
t_4 := 0.5 - \cos \left(\left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
\mathbf{if}\;\phi_1 \leq -6 \cdot 10^{+23}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(t\_2, -0.5, 0.5\right), t\_0, t\_1\right)}}{t\_3} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\phi_1 \leq 0.65:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, t\_0, t\_1\right)}}{\sqrt{0.5 - \left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, t\_0, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{t\_3} \cdot \left(2 \cdot R\right)\\
\end{array}
\end{array}
if phi1 < -6.0000000000000002e23Initial program 49.5%
Applied rewrites49.5%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6451.4
Applied rewrites51.4%
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-*.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lft-identityN/A
rem-exp-logN/A
lift-log.f64N/A
lift-exp.f64N/A
*-commutativeN/A
lower-fma.f6414.0
Applied rewrites51.4%
if -6.0000000000000002e23 < phi1 < 0.650000000000000022Initial program 72.0%
Applied rewrites67.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6440.5
Applied rewrites40.5%
Taylor expanded in phi1 around 0
Applied rewrites67.4%
if 0.650000000000000022 < phi1 Initial program 42.7%
Applied rewrites43.7%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6445.9
Applied rewrites45.9%
Taylor expanded in phi2 around 0
lower-cos.f6446.6
Applied rewrites46.6%
Final simplification57.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5)))
(t_2
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(t_3
(*
(atan2 (sqrt (fma (fma (cos lambda2) -0.5 0.5) t_0 t_1)) t_2)
(* 2.0 R)))
(t_4 (sqrt (fma (fma (cos lambda1) -0.5 0.5) t_0 t_1))))
(if (<= lambda2 -1.7e-16)
t_3
(if (<= lambda2 1.5e-200)
(* (atan2 t_4 t_2) (* 2.0 R))
(if (<= lambda2 9.5e-10)
(*
(atan2
t_4
(sqrt
(-
0.5
(* (- (fma (cos (- lambda1 lambda2)) -0.5 0.5) 0.5) (cos phi2)))))
(* 2.0 R))
t_3)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_2 = sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))));
double t_3 = atan2(sqrt(fma(fma(cos(lambda2), -0.5, 0.5), t_0, t_1)), t_2) * (2.0 * R);
double t_4 = sqrt(fma(fma(cos(lambda1), -0.5, 0.5), t_0, t_1));
double tmp;
if (lambda2 <= -1.7e-16) {
tmp = t_3;
} else if (lambda2 <= 1.5e-200) {
tmp = atan2(t_4, t_2) * (2.0 * R);
} else if (lambda2 <= 9.5e-10) {
tmp = atan2(t_4, sqrt((0.5 - ((fma(cos((lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * (2.0 * R);
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_2 = sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1)))) t_3 = Float64(atan(sqrt(fma(fma(cos(lambda2), -0.5, 0.5), t_0, t_1)), t_2) * Float64(2.0 * R)) t_4 = sqrt(fma(fma(cos(lambda1), -0.5, 0.5), t_0, t_1)) tmp = 0.0 if (lambda2 <= -1.7e-16) tmp = t_3; elseif (lambda2 <= 1.5e-200) tmp = Float64(atan(t_4, t_2) * Float64(2.0 * R)); elseif (lambda2 <= 9.5e-10) tmp = Float64(atan(t_4, sqrt(Float64(0.5 - Float64(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * Float64(2.0 * R)); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[lambda2], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -1.7e-16], t$95$3, If[LessEqual[lambda2, 1.5e-200], N[(N[ArcTan[t$95$4 / t$95$2], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda2, 9.5e-10], N[(N[ArcTan[t$95$4 / N[Sqrt[N[(0.5 - N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_2 := \sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}\\
t_3 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_2, -0.5, 0.5\right), t\_0, t\_1\right)}}{t\_2} \cdot \left(2 \cdot R\right)\\
t_4 := \sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right), t\_0, t\_1\right)}\\
\mathbf{if}\;\lambda_2 \leq -1.7 \cdot 10^{-16}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_2 \leq 1.5 \cdot 10^{-200}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_4}{t\_2} \cdot \left(2 \cdot R\right)\\
\mathbf{elif}\;\lambda_2 \leq 9.5 \cdot 10^{-10}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_4}{\sqrt{0.5 - \left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if lambda2 < -1.7e-16 or 9.50000000000000028e-10 < lambda2 Initial program 44.9%
Applied rewrites44.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6436.9
Applied rewrites36.9%
Taylor expanded in lambda1 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
cos-negN/A
lower-cos.f6436.8
Applied rewrites36.8%
if -1.7e-16 < lambda2 < 1.49999999999999997e-200Initial program 77.5%
Applied rewrites74.9%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6458.8
Applied rewrites58.8%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6458.8
Applied rewrites58.8%
if 1.49999999999999997e-200 < lambda2 < 9.50000000000000028e-10Initial program 67.3%
Applied rewrites60.1%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6442.9
Applied rewrites42.9%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6442.9
Applied rewrites42.9%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
+-commutativeN/A
Applied rewrites54.4%
Final simplification46.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1
(*
(atan2
(sqrt
(fma
(fma (cos lambda1) -0.5 0.5)
t_0
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt
(-
0.5
(* (- (fma (cos (- lambda1 lambda2)) -0.5 0.5) 0.5) (cos phi2)))))
(* 2.0 R))))
(if (<= phi2 -0.0024)
t_1
(if (<= phi2 300000.0)
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5))
t_0
(- 0.5 (* (cos phi1) 0.5))))
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = atan2(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), t_0, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - ((fma(cos((lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * (2.0 * R);
double tmp;
if (phi2 <= -0.0024) {
tmp = t_1;
} else if (phi2 <= 300000.0) {
tmp = atan2(sqrt(fma((0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)), t_0, (0.5 - (cos(phi1) * 0.5)))), sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(atan(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), t_0, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * Float64(2.0 * R)) tmp = 0.0 if (phi2 <= -0.0024) tmp = t_1; elseif (phi2 <= 300000.0) tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(Float64(Float64(Float64(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)), t_0, Float64(0.5 - Float64(cos(phi1) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * t$95$0 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.0024], t$95$1, If[LessEqual[phi2, 300000.0], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[N[(N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right), t\_0, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{0.5 - \left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_2 \leq -0.0024:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_2 \leq 300000:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \left(\left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5, t\_0, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi2 < -0.00239999999999999979 or 3e5 < phi2 Initial program 44.9%
Applied rewrites45.6%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6421.7
Applied rewrites21.7%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6421.6
Applied rewrites21.6%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
+-commutativeN/A
Applied rewrites38.5%
if -0.00239999999999999979 < phi2 < 3e5Initial program 71.9%
Applied rewrites67.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6467.3
Applied rewrites67.3%
Taylor expanded in phi2 around 0
lower-cos.f6467.4
Applied rewrites67.4%
Final simplification52.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (fma (cos lambda1) -0.5 0.5))
(t_2
(*
(atan2
(sqrt (fma t_1 t_0 (- 0.5 (* (cos phi1) 0.5))))
(sqrt
(-
0.5
(*
(- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5)
(cos phi1)))))
(* 2.0 R))))
(if (<= phi1 -2.2e+31)
t_2
(if (<= phi1 0.0031)
(*
(atan2
(sqrt
(fma t_1 t_0 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt
(-
0.5
(* (- (fma (cos (- lambda1 lambda2)) -0.5 0.5) 0.5) (cos phi2)))))
(* 2.0 R))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = fma(cos(lambda1), -0.5, 0.5);
double t_2 = atan2(sqrt(fma(t_1, t_0, (0.5 - (cos(phi1) * 0.5)))), sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
double tmp;
if (phi1 <= -2.2e+31) {
tmp = t_2;
} else if (phi1 <= 0.0031) {
tmp = atan2(sqrt(fma(t_1, t_0, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - ((fma(cos((lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * (2.0 * R);
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = fma(cos(lambda1), -0.5, 0.5) t_2 = Float64(atan(sqrt(fma(t_1, t_0, Float64(0.5 - Float64(cos(phi1) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)) tmp = 0.0 if (phi1 <= -2.2e+31) tmp = t_2; elseif (phi1 <= 0.0031) tmp = Float64(atan(sqrt(fma(t_1, t_0, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) - 0.5) * cos(phi2))))) * Float64(2.0 * R)); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$0 + N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.2e+31], t$95$2, If[LessEqual[phi1, 0.0031], N[(N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$0 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right)\\
t_2 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_0, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_1 \leq -2.2 \cdot 10^{+31}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 0.0031:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_0, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{0.5 - \left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -2.2000000000000001e31 or 0.00309999999999999989 < phi1 Initial program 45.4%
Applied rewrites46.0%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6448.1
Applied rewrites48.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6439.2
Applied rewrites39.2%
Taylor expanded in phi2 around 0
lower-cos.f6439.7
Applied rewrites39.7%
if -2.2000000000000001e31 < phi1 < 0.00309999999999999989Initial program 71.8%
Applied rewrites67.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6440.8
Applied rewrites40.8%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6431.7
Applied rewrites31.7%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
+-commutativeN/A
Applied rewrites49.2%
Final simplification44.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (fma (cos lambda1) -0.5 0.5))
(t_2
(*
(atan2
(sqrt (fma t_1 t_0 (- 0.5 (* (cos phi1) 0.5))))
(sqrt
(-
0.5
(*
(- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5)
(cos phi1)))))
(* 2.0 R))))
(if (<= phi1 -2.2e+31)
t_2
(if (<= phi1 0.00235)
(*
(atan2
(sqrt
(fma t_1 t_0 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (fma (cos (- lambda1 lambda2)) 0.5 0.5)))
(* 2.0 R))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = fma(cos(lambda1), -0.5, 0.5);
double t_2 = atan2(sqrt(fma(t_1, t_0, (0.5 - (cos(phi1) * 0.5)))), sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
double tmp;
if (phi1 <= -2.2e+31) {
tmp = t_2;
} else if (phi1 <= 0.00235) {
tmp = atan2(sqrt(fma(t_1, t_0, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(fma(cos((lambda1 - lambda2)), 0.5, 0.5))) * (2.0 * R);
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = fma(cos(lambda1), -0.5, 0.5) t_2 = Float64(atan(sqrt(fma(t_1, t_0, Float64(0.5 - Float64(cos(phi1) * 0.5)))), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)) tmp = 0.0 if (phi1 <= -2.2e+31) tmp = t_2; elseif (phi1 <= 0.00235) tmp = Float64(atan(sqrt(fma(t_1, t_0, Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(fma(cos(Float64(lambda1 - lambda2)), 0.5, 0.5))) * Float64(2.0 * R)); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$0 + N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.2e+31], t$95$2, If[LessEqual[phi1, 0.00235], N[(N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$0 + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right)\\
t_2 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_0, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_1 \leq -2.2 \cdot 10^{+31}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 0.00235:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_0, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), 0.5, 0.5\right)}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -2.2000000000000001e31 or 0.00235000000000000009 < phi1 Initial program 45.4%
Applied rewrites46.0%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6448.1
Applied rewrites48.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6439.2
Applied rewrites39.2%
Taylor expanded in phi2 around 0
lower-cos.f6439.7
Applied rewrites39.7%
if -2.2000000000000001e31 < phi1 < 0.00235000000000000009Initial program 71.8%
Applied rewrites67.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6440.8
Applied rewrites40.8%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6431.7
Applied rewrites31.7%
Taylor expanded in phi1 around 0
Applied rewrites31.8%
Final simplification35.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(t_2 (fma (cos lambda1) -0.5 0.5)))
(if (<= phi2 -0.00245)
(* (atan2 (sqrt (fma t_2 t_0 (- 0.5 (* (cos phi2) 0.5)))) t_1) (* 2.0 R))
(*
(atan2 (sqrt (fma t_2 t_0 (- 0.5 (* (cos phi1) 0.5)))) t_1)
(* 2.0 R)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))));
double t_2 = fma(cos(lambda1), -0.5, 0.5);
double tmp;
if (phi2 <= -0.00245) {
tmp = atan2(sqrt(fma(t_2, t_0, (0.5 - (cos(phi2) * 0.5)))), t_1) * (2.0 * R);
} else {
tmp = atan2(sqrt(fma(t_2, t_0, (0.5 - (cos(phi1) * 0.5)))), t_1) * (2.0 * R);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1)))) t_2 = fma(cos(lambda1), -0.5, 0.5) tmp = 0.0 if (phi2 <= -0.00245) tmp = Float64(atan(sqrt(fma(t_2, t_0, Float64(0.5 - Float64(cos(phi2) * 0.5)))), t_1) * Float64(2.0 * R)); else tmp = Float64(atan(sqrt(fma(t_2, t_0, Float64(0.5 - Float64(cos(phi1) * 0.5)))), t_1) * Float64(2.0 * R)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]}, If[LessEqual[phi2, -0.00245], N[(N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$0 + N[(0.5 - N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$0 + N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}\\
t_2 := \mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right)\\
\mathbf{if}\;\phi_2 \leq -0.00245:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_0, 0.5 - \cos \phi_2 \cdot 0.5\right)}}{t\_1} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_0, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{t\_1} \cdot \left(2 \cdot R\right)\\
\end{array}
\end{array}
if phi2 < -0.0024499999999999999Initial program 44.9%
Applied rewrites46.1%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6421.5
Applied rewrites21.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6421.3
Applied rewrites21.3%
Taylor expanded in phi1 around 0
cos-negN/A
lower-cos.f6421.8
Applied rewrites21.8%
if -0.0024499999999999999 < phi2 Initial program 64.0%
Applied rewrites60.7%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6454.1
Applied rewrites54.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6441.4
Applied rewrites41.4%
Taylor expanded in phi2 around 0
lower-cos.f6439.5
Applied rewrites39.5%
Final simplification34.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(atan2
(sqrt
(fma
(fma (cos lambda1) -0.5 0.5)
(* (cos phi2) (cos phi1))
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (fma (* (cos phi1) 0.5) (cos lambda1) 0.5)))
(* 2.0 R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), (cos(phi2) * cos(phi1)), (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(fma((cos(phi1) * 0.5), cos(lambda1), 0.5))) * (2.0 * R);
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(atan(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(fma(Float64(cos(phi1) * 0.5), cos(lambda1), 0.5))) * Float64(2.0 * R)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right), \cos \phi_2 \cdot \cos \phi_1, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(\cos \phi_1 \cdot 0.5, \cos \lambda_1, 0.5\right)}} \cdot \left(2 \cdot R\right)
\end{array}
Initial program 58.4%
Applied rewrites56.4%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6444.5
Applied rewrites44.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6435.5
Applied rewrites35.5%
Taylor expanded in lambda2 around 0
Applied rewrites35.2%
Final simplification35.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5)))
(t_2
(*
(atan2
(sqrt (fma (fma (cos lambda1) -0.5 0.5) t_0 t_1))
(sqrt (fma (cos (- lambda1 lambda2)) 0.5 0.5)))
(* 2.0 R))))
(if (<= lambda1 -0.27)
t_2
(if (<= lambda1 2300000000000.0)
(*
(atan2
(sqrt (fma (* (* lambda1 lambda1) 0.25) t_0 t_1))
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda2 lambda1)) 0.5)) 0.5) (cos phi1)))))
(* 2.0 R))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_2 = atan2(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), t_0, t_1)), sqrt(fma(cos((lambda1 - lambda2)), 0.5, 0.5))) * (2.0 * R);
double tmp;
if (lambda1 <= -0.27) {
tmp = t_2;
} else if (lambda1 <= 2300000000000.0) {
tmp = atan2(sqrt(fma(((lambda1 * lambda1) * 0.25), t_0, t_1)), sqrt((0.5 - (((0.5 - (cos((lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * (2.0 * R);
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_2 = Float64(atan(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), t_0, t_1)), sqrt(fma(cos(Float64(lambda1 - lambda2)), 0.5, 0.5))) * Float64(2.0 * R)) tmp = 0.0 if (lambda1 <= -0.27) tmp = t_2; elseif (lambda1 <= 2300000000000.0) tmp = Float64(atan(sqrt(fma(Float64(Float64(lambda1 * lambda1) * 0.25), t_0, t_1)), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5)) - 0.5) * cos(phi1))))) * Float64(2.0 * R)); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.27], t$95$2, If[LessEqual[lambda1, 2300000000000.0], N[(N[ArcTan[N[Sqrt[N[(N[(N[(lambda1 * lambda1), $MachinePrecision] * 0.25), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_2 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right), t\_0, t\_1\right)}}{\sqrt{\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), 0.5, 0.5\right)}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\lambda_1 \leq -0.27:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 2300000000000:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\left(\lambda_1 \cdot \lambda_1\right) \cdot 0.25, t\_0, t\_1\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_1}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -0.27000000000000002 or 2.3e12 < lambda1 Initial program 47.8%
Applied rewrites47.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6441.8
Applied rewrites41.8%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6441.7
Applied rewrites41.7%
Taylor expanded in phi1 around 0
Applied rewrites31.6%
if -0.27000000000000002 < lambda1 < 2.3e12Initial program 69.9%
Applied rewrites65.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6447.5
Applied rewrites47.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6428.9
Applied rewrites28.9%
Taylor expanded in lambda1 around 0
Applied rewrites30.6%
Final simplification31.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(atan2
(sqrt
(fma
(fma (cos lambda1) -0.5 0.5)
(* (cos phi2) (cos phi1))
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (fma (cos (- lambda1 lambda2)) 0.5 0.5)))
(* 2.0 R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), (cos(phi2) * cos(phi1)), (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(fma(cos((lambda1 - lambda2)), 0.5, 0.5))) * (2.0 * R);
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(atan(sqrt(fma(fma(cos(lambda1), -0.5, 0.5), Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(fma(cos(Float64(lambda1 - lambda2)), 0.5, 0.5))) * Float64(2.0 * R)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sqrt[N[(N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right), \cos \phi_2 \cdot \cos \phi_1, 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), 0.5, 0.5\right)}} \cdot \left(2 \cdot R\right)
\end{array}
Initial program 58.4%
Applied rewrites56.4%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
+-commutativeN/A
neg-sub0N/A
associate-+l-N/A
unsub-negN/A
mul-1-negN/A
neg-sub0N/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6444.5
Applied rewrites44.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f6435.5
Applied rewrites35.5%
Taylor expanded in phi1 around 0
Applied rewrites26.4%
Final simplification26.4%
herbie shell --seed 2024237
(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))))))))))