
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 20 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (sin (* phi2 -0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (* phi2 -0.5)))
(t_4 (* (cos phi2) (cos phi1)))
(t_5 (cos (* phi1 0.5))))
(*
(*
(atan2
(sqrt (+ (* (* t_4 t_2) t_2) (pow (fma t_1 t_5 (* t_0 t_3)) 2.0)))
(sqrt
(-
1.0
(+
(* t_4 (fma (cos (- lambda2 lambda1)) -0.5 0.5))
(pow (fma t_0 t_3 (* t_5 t_1)) 2.0)))))
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 = sin((phi2 * -0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((phi2 * -0.5));
double t_4 = cos(phi2) * cos(phi1);
double t_5 = cos((phi1 * 0.5));
return (atan2(sqrt((((t_4 * t_2) * t_2) + pow(fma(t_1, t_5, (t_0 * t_3)), 2.0))), sqrt((1.0 - ((t_4 * fma(cos((lambda2 - lambda1)), -0.5, 0.5)) + pow(fma(t_0, t_3, (t_5 * t_1)), 2.0))))) * 2.0) * R;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = sin(Float64(phi2 * -0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(phi2 * -0.5)) t_4 = Float64(cos(phi2) * cos(phi1)) t_5 = cos(Float64(phi1 * 0.5)) return Float64(Float64(atan(sqrt(Float64(Float64(Float64(t_4 * t_2) * t_2) + (fma(t_1, t_5, Float64(t_0 * t_3)) ^ 2.0))), sqrt(Float64(1.0 - Float64(Float64(t_4 * fma(cos(Float64(lambda2 - lambda1)), -0.5, 0.5)) + (fma(t_0, t_3, Float64(t_5 * t_1)) ^ 2.0))))) * 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[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[(t$95$4 * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision] + N[Power[N[(t$95$1 * t$95$5 + N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(t$95$4 * N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$0 * t$95$3 + N[(t$95$5 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $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 := \sin \left(\phi_2 \cdot -0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\phi_2 \cdot -0.5\right)\\
t_4 := \cos \phi_2 \cdot \cos \phi_1\\
t_5 := \cos \left(\phi_1 \cdot 0.5\right)\\
\left(\tan^{-1}_* \frac{\sqrt{\left(t\_4 \cdot t\_2\right) \cdot t\_2 + {\left(\mathsf{fma}\left(t\_1, t\_5, t\_0 \cdot t\_3\right)\right)}^{2}}}{\sqrt{1 - \left(t\_4 \cdot \mathsf{fma}\left(\cos \left(\lambda_2 - \lambda_1\right), -0.5, 0.5\right) + {\left(\mathsf{fma}\left(t\_0, t\_3, t\_5 \cdot t\_1\right)\right)}^{2}\right)}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 60.3%
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-*.f6461.3
Applied rewrites61.3%
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
*-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 rewrites77.3%
Applied rewrites77.4%
Final simplification77.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (sin (* phi2 -0.5)))
(t_2 (cos (* phi1 0.5)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* (* (* (cos phi2) (cos phi1)) t_3) t_3))
(t_5 (cos (* phi2 -0.5)))
(t_6
(*
(*
(atan2
(sqrt (+ t_4 (pow (fma t_1 t_2 (* t_0 t_5)) 2.0)))
(sqrt
(-
1.0
(+
(pow (fma t_0 t_5 (* t_2 t_1)) 2.0)
(* (pow (sin (* (- lambda1 lambda2) 0.5)) 2.0) (cos phi1))))))
2.0)
R)))
(if (<= phi1 -8.5)
t_6
(if (<= phi1 1.25e-10)
(*
(*
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_4))
(sqrt
(-
1.0
(fma
t_1
(fma (cos (* 0.5 phi2)) phi1 t_1)
(*
(pow
(-
(* (cos (* lambda2 0.5)) (sin (* lambda1 0.5)))
(* (sin (* lambda2 0.5)) (cos (* lambda1 0.5))))
2.0)
(cos phi2))))))
2.0)
R)
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = sin((phi2 * -0.5));
double t_2 = cos((phi1 * 0.5));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = ((cos(phi2) * cos(phi1)) * t_3) * t_3;
double t_5 = cos((phi2 * -0.5));
double t_6 = (atan2(sqrt((t_4 + pow(fma(t_1, t_2, (t_0 * t_5)), 2.0))), sqrt((1.0 - (pow(fma(t_0, t_5, (t_2 * t_1)), 2.0) + (pow(sin(((lambda1 - lambda2) * 0.5)), 2.0) * cos(phi1)))))) * 2.0) * R;
double tmp;
if (phi1 <= -8.5) {
tmp = t_6;
} else if (phi1 <= 1.25e-10) {
tmp = (atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_4)), sqrt((1.0 - fma(t_1, fma(cos((0.5 * phi2)), phi1, t_1), (pow(((cos((lambda2 * 0.5)) * sin((lambda1 * 0.5))) - (sin((lambda2 * 0.5)) * cos((lambda1 * 0.5)))), 2.0) * cos(phi2)))))) * 2.0) * R;
} else {
tmp = t_6;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = sin(Float64(phi2 * -0.5)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(Float64(Float64(cos(phi2) * cos(phi1)) * t_3) * t_3) t_5 = cos(Float64(phi2 * -0.5)) t_6 = Float64(Float64(atan(sqrt(Float64(t_4 + (fma(t_1, t_2, Float64(t_0 * t_5)) ^ 2.0))), sqrt(Float64(1.0 - Float64((fma(t_0, t_5, Float64(t_2 * t_1)) ^ 2.0) + Float64((sin(Float64(Float64(lambda1 - lambda2) * 0.5)) ^ 2.0) * cos(phi1)))))) * 2.0) * R) tmp = 0.0 if (phi1 <= -8.5) tmp = t_6; elseif (phi1 <= 1.25e-10) tmp = Float64(Float64(atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_4)), sqrt(Float64(1.0 - fma(t_1, fma(cos(Float64(0.5 * phi2)), phi1, t_1), Float64((Float64(Float64(cos(Float64(lambda2 * 0.5)) * sin(Float64(lambda1 * 0.5))) - Float64(sin(Float64(lambda2 * 0.5)) * cos(Float64(lambda1 * 0.5)))) ^ 2.0) * cos(phi2)))))) * 2.0) * R); else tmp = t_6; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[ArcTan[N[Sqrt[N[(t$95$4 + N[Power[N[(t$95$1 * t$95$2 + N[(t$95$0 * t$95$5), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$0 * t$95$5 + N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -8.5], t$95$6, If[LessEqual[phi1, 1.25e-10], N[(N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 * N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * phi1 + t$95$1), $MachinePrecision] + N[(N[Power[N[(N[(N[Cos[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$6]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\phi_2 \cdot -0.5\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_3\right) \cdot t\_3\\
t_5 := \cos \left(\phi_2 \cdot -0.5\right)\\
t_6 := \left(\tan^{-1}_* \frac{\sqrt{t\_4 + {\left(\mathsf{fma}\left(t\_1, t\_2, t\_0 \cdot t\_5\right)\right)}^{2}}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_0, t\_5, t\_2 \cdot t\_1\right)\right)}^{2} + {\sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)}^{2} \cdot \cos \phi_1\right)}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -8.5:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\phi_1 \leq 1.25 \cdot 10^{-10}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_4}}{\sqrt{1 - \mathsf{fma}\left(t\_1, \mathsf{fma}\left(\cos \left(0.5 \cdot \phi_2\right), \phi_1, t\_1\right), {\left(\cos \left(\lambda_2 \cdot 0.5\right) \cdot \sin \left(\lambda_1 \cdot 0.5\right) - \sin \left(\lambda_2 \cdot 0.5\right) \cdot \cos \left(\lambda_1 \cdot 0.5\right)\right)}^{2} \cdot \cos \phi_2\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if phi1 < -8.5 or 1.25000000000000008e-10 < phi1 Initial program 46.4%
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-*.f6448.2
Applied rewrites48.2%
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
*-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 rewrites78.8%
Applied rewrites78.9%
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.f6461.0
Applied rewrites61.0%
if -8.5 < phi1 < 1.25000000000000008e-10Initial program 74.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+r+N/A
associate-*r*N/A
unpow2N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites75.0%
Applied rewrites75.7%
Final simplification68.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (cos (* phi2 -0.5)))
(t_2 (sin (* phi2 -0.5)))
(t_3 (cos (* phi1 0.5)))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (* (* (* (cos phi2) (cos phi1)) t_4) t_4))
(t_6
(*
(*
(atan2
(sqrt
(+
(* (pow (sin (* (- lambda1 lambda2) 0.5)) 2.0) (cos phi1))
(pow (fma t_2 t_3 (* t_0 t_1)) 2.0)))
(sqrt (- 1.0 (+ (pow (fma t_0 t_1 (* t_3 t_2)) 2.0) t_5))))
2.0)
R)))
(if (<= phi1 -8.5)
t_6
(if (<= phi1 1.25e-10)
(*
(*
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_5))
(sqrt
(-
1.0
(fma
t_2
(fma (cos (* 0.5 phi2)) phi1 t_2)
(*
(pow
(-
(* (cos (* lambda2 0.5)) (sin (* lambda1 0.5)))
(* (sin (* lambda2 0.5)) (cos (* lambda1 0.5))))
2.0)
(cos phi2))))))
2.0)
R)
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos((phi2 * -0.5));
double t_2 = sin((phi2 * -0.5));
double t_3 = cos((phi1 * 0.5));
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = ((cos(phi2) * cos(phi1)) * t_4) * t_4;
double t_6 = (atan2(sqrt(((pow(sin(((lambda1 - lambda2) * 0.5)), 2.0) * cos(phi1)) + pow(fma(t_2, t_3, (t_0 * t_1)), 2.0))), sqrt((1.0 - (pow(fma(t_0, t_1, (t_3 * t_2)), 2.0) + t_5)))) * 2.0) * R;
double tmp;
if (phi1 <= -8.5) {
tmp = t_6;
} else if (phi1 <= 1.25e-10) {
tmp = (atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_5)), sqrt((1.0 - fma(t_2, fma(cos((0.5 * phi2)), phi1, t_2), (pow(((cos((lambda2 * 0.5)) * sin((lambda1 * 0.5))) - (sin((lambda2 * 0.5)) * cos((lambda1 * 0.5)))), 2.0) * cos(phi2)))))) * 2.0) * R;
} else {
tmp = t_6;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = cos(Float64(phi2 * -0.5)) t_2 = sin(Float64(phi2 * -0.5)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64(Float64(Float64(cos(phi2) * cos(phi1)) * t_4) * t_4) t_6 = Float64(Float64(atan(sqrt(Float64(Float64((sin(Float64(Float64(lambda1 - lambda2) * 0.5)) ^ 2.0) * cos(phi1)) + (fma(t_2, t_3, Float64(t_0 * t_1)) ^ 2.0))), sqrt(Float64(1.0 - Float64((fma(t_0, t_1, Float64(t_3 * t_2)) ^ 2.0) + t_5)))) * 2.0) * R) tmp = 0.0 if (phi1 <= -8.5) tmp = t_6; elseif (phi1 <= 1.25e-10) tmp = Float64(Float64(atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_5)), sqrt(Float64(1.0 - fma(t_2, fma(cos(Float64(0.5 * phi2)), phi1, t_2), Float64((Float64(Float64(cos(Float64(lambda2 * 0.5)) * sin(Float64(lambda1 * 0.5))) - Float64(sin(Float64(lambda2 * 0.5)) * cos(Float64(lambda1 * 0.5)))) ^ 2.0) * cos(phi2)))))) * 2.0) * R); else tmp = t_6; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[ArcTan[N[Sqrt[N[(N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$2 * t$95$3 + N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$0 * t$95$1 + N[(t$95$3 * t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision]}, If[LessEqual[phi1, -8.5], t$95$6, If[LessEqual[phi1, 1.25e-10], N[(N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 * N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * phi1 + t$95$2), $MachinePrecision] + N[(N[Power[N[(N[(N[Cos[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(lambda2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $MachinePrecision], t$95$6]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_2 \cdot -0.5\right)\\
t_2 := \sin \left(\phi_2 \cdot -0.5\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_4\right) \cdot t\_4\\
t_6 := \left(\tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right)}^{2} \cdot \cos \phi_1 + {\left(\mathsf{fma}\left(t\_2, t\_3, t\_0 \cdot t\_1\right)\right)}^{2}}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_0, t\_1, t\_3 \cdot t\_2\right)\right)}^{2} + t\_5\right)}} \cdot 2\right) \cdot R\\
\mathbf{if}\;\phi_1 \leq -8.5:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\phi_1 \leq 1.25 \cdot 10^{-10}:\\
\;\;\;\;\left(\tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_5}}{\sqrt{1 - \mathsf{fma}\left(t\_2, \mathsf{fma}\left(\cos \left(0.5 \cdot \phi_2\right), \phi_1, t\_2\right), {\left(\cos \left(\lambda_2 \cdot 0.5\right) \cdot \sin \left(\lambda_1 \cdot 0.5\right) - \sin \left(\lambda_2 \cdot 0.5\right) \cdot \cos \left(\lambda_1 \cdot 0.5\right)\right)}^{2} \cdot \cos \phi_2\right)}} \cdot 2\right) \cdot R\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if phi1 < -8.5 or 1.25000000000000008e-10 < phi1 Initial program 46.4%
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-*.f6448.2
Applied rewrites48.2%
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
*-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 rewrites78.8%
Applied rewrites78.9%
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.f6460.5
Applied rewrites60.5%
if -8.5 < phi1 < 1.25000000000000008e-10Initial program 74.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+r+N/A
associate-*r*N/A
unpow2N/A
distribute-rgt-outN/A
lower-fma.f64N/A
Applied rewrites75.0%
Applied rewrites75.7%
Final simplification67.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (- phi1 phi2) 0.5))
(t_3 (cos t_2)))
(if (<=
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_0 t_1) t_1))
0.00095)
(*
(atan2
(sqrt (fma (- 0.5 (* (cos lambda1) 0.5)) t_0 (pow (sin t_2) 2.0)))
(sqrt
(+
(* (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))) (cos phi1))
0.5)))
(* 2.0 R))
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5))
t_0
(- 0.5 (* (cos (* t_2 2.0)) 0.5))))
(sqrt
(fma
t_3
t_3
(*
(* (- (cos phi1)) (cos phi2))
(fma -0.5 (cos (- lambda1 lambda2)) 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 = (phi1 - phi2) * 0.5;
double t_3 = cos(t_2);
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1)) <= 0.00095) {
tmp = atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), t_0, pow(sin(t_2), 2.0))), sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 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 - (cos((t_2 * 2.0)) * 0.5)))), sqrt(fma(t_3, t_3, ((-cos(phi1) * cos(phi2)) * fma(-0.5, cos((lambda1 - lambda2)), 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 = Float64(Float64(phi1 - phi2) * 0.5) t_3 = cos(t_2) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * t_1) * t_1)) <= 0.00095) tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 0.5)), t_0, (sin(t_2) ^ 2.0))), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(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(cos(Float64(t_2 * 2.0)) * 0.5)))), sqrt(fma(t_3, t_3, Float64(Float64(Float64(-cos(phi1)) * cos(phi2)) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 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[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$3 = N[Cos[t$95$2], $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], 0.00095], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $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[Cos[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 * t$95$3 + N[(N[((-N[Cos[phi1], $MachinePrecision]) * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $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 := \left(\phi_1 - \phi_2\right) \cdot 0.5\\
t_3 := \cos t\_2\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot t\_1\right) \cdot t\_1 \leq 0.00095:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, t\_0, {\sin t\_2}^{2}\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\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 - \cos \left(t\_2 \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(t\_3, t\_3, \left(\left(-\cos \phi_1\right) \cdot \cos \phi_2\right) \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 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))))) < 9.49999999999999998e-4Initial program 65.7%
Applied rewrites12.9%
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--.f6412.9
Applied rewrites12.9%
Taylor expanded in lambda2 around 0
lower-cos.f6415.8
Applied rewrites15.8%
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
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
unpow2N/A
Applied rewrites45.5%
if 9.49999999999999998e-4 < (+.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 59.9%
Applied rewrites59.9%
lift--.f64N/A
sub-negN/A
lift-+.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-cos-aN/A
lower-fma.f64N/A
Applied rewrites59.9%
Final simplification58.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (- phi1 phi2) 0.5))
(t_4 (* (cos (* t_3 2.0)) 0.5)))
(if (<=
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_0 t_2) t_2))
0.00095)
(*
(atan2
(sqrt (fma (- 0.5 (* (cos lambda1) 0.5)) t_0 (pow (sin t_3) 2.0)))
(sqrt
(+
(* (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))) (cos phi1))
0.5)))
(* 2.0 R))
(*
(atan2
(sqrt (fma t_1 t_0 (- 0.5 t_4)))
(sqrt (- (+ t_4 0.5) (* t_1 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 = 0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = (phi1 - phi2) * 0.5;
double t_4 = cos((t_3 * 2.0)) * 0.5;
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_2) * t_2)) <= 0.00095) {
tmp = atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), t_0, pow(sin(t_3), 2.0))), sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * (2.0 * R);
} else {
tmp = atan2(sqrt(fma(t_1, t_0, (0.5 - t_4))), sqrt(((t_4 + 0.5) - (t_1 * t_0)))) * (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(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(Float64(phi1 - phi2) * 0.5) t_4 = Float64(cos(Float64(t_3 * 2.0)) * 0.5) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * t_2) * t_2)) <= 0.00095) tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 0.5)), t_0, (sin(t_3) ^ 2.0))), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(2.0 * R)); else tmp = Float64(atan(sqrt(fma(t_1, t_0, Float64(0.5 - t_4))), sqrt(Float64(Float64(t_4 + 0.5) - Float64(t_1 * t_0)))) * 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[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[N[(t$95$3 * 2.0), $MachinePrecision]], $MachinePrecision] * 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$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], 0.00095], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$0 + N[(0.5 - t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$4 + 0.5), $MachinePrecision] - N[(t$95$1 * 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 := 0.5 - \cos \left(\left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \left(\phi_1 - \phi_2\right) \cdot 0.5\\
t_4 := \cos \left(t\_3 \cdot 2\right) \cdot 0.5\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot t\_2\right) \cdot t\_2 \leq 0.00095:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, t\_0, {\sin t\_3}^{2}\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_0, 0.5 - t\_4\right)}}{\sqrt{\left(t\_4 + 0.5\right) - t\_1 \cdot t\_0}} \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))))) < 9.49999999999999998e-4Initial program 65.7%
Applied rewrites12.9%
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--.f6412.9
Applied rewrites12.9%
Taylor expanded in lambda2 around 0
lower-cos.f6415.8
Applied rewrites15.8%
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
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
unpow2N/A
Applied rewrites45.5%
if 9.49999999999999998e-4 < (+.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 59.9%
Applied rewrites59.9%
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 (* (- phi1 phi2) 0.5)))
(if (<=
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_0 t_1) t_1))
0.00095)
(*
(atan2
(sqrt (fma (- 0.5 (* (cos lambda1) 0.5)) t_0 (pow (sin t_2) 2.0)))
(sqrt
(+
(* (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))) (cos phi1))
0.5)))
(* 2.0 R))
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5))
t_0
(- 0.5 (* (cos (* t_2 2.0)) 0.5))))
(sqrt
(fma
(fma -0.5 (cos (- lambda1 lambda2)) 0.5)
(* (- (cos phi1)) (cos phi2))
(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 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (phi1 - phi2) * 0.5;
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1)) <= 0.00095) {
tmp = atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), t_0, pow(sin(t_2), 2.0))), sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 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 - (cos((t_2 * 2.0)) * 0.5)))), sqrt(fma(fma(-0.5, cos((lambda1 - lambda2)), 0.5), (-cos(phi1) * cos(phi2)), fma(cos((phi1 - phi2)), 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 = Float64(Float64(phi1 - phi2) * 0.5) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * t_1) * t_1)) <= 0.00095) tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 0.5)), t_0, (sin(t_2) ^ 2.0))), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(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(cos(Float64(t_2 * 2.0)) * 0.5)))), sqrt(fma(fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5), Float64(Float64(-cos(phi1)) * cos(phi2)), fma(cos(Float64(phi1 - phi2)), 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[(N[(phi1 - phi2), $MachinePrecision] * 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], 0.00095], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $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[Cos[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[((-N[Cos[phi1], $MachinePrecision]) * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * 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 := \left(\phi_1 - \phi_2\right) \cdot 0.5\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot t\_1\right) \cdot t\_1 \leq 0.00095:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, t\_0, {\sin t\_2}^{2}\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\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 - \cos \left(t\_2 \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right), \left(-\cos \phi_1\right) \cdot \cos \phi_2, \mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), 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))))) < 9.49999999999999998e-4Initial program 65.7%
Applied rewrites12.9%
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--.f6412.9
Applied rewrites12.9%
Taylor expanded in lambda2 around 0
lower-cos.f6415.8
Applied rewrites15.8%
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
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
unpow2N/A
Applied rewrites45.5%
if 9.49999999999999998e-4 < (+.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 59.9%
Applied rewrites59.9%
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
Applied rewrites59.9%
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 (* (- phi1 phi2) 0.5)))
(if (<=
(+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_0 t_1) t_1))
0.00095)
(*
(atan2
(sqrt (fma (- 0.5 (* (cos lambda1) 0.5)) t_0 (pow (sin t_2) 2.0)))
(sqrt
(+
(* (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))) (cos phi1))
0.5)))
(* 2.0 R))
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5))
t_0
(- 0.5 (* (cos (* t_2 2.0)) 0.5))))
(sqrt
(fma
(cos (- phi1 phi2))
0.5
(- 0.5 (* (fma -0.5 (cos (- lambda1 lambda2)) 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 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (phi1 - phi2) * 0.5;
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1)) <= 0.00095) {
tmp = atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), t_0, pow(sin(t_2), 2.0))), sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 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 - (cos((t_2 * 2.0)) * 0.5)))), sqrt(fma(cos((phi1 - phi2)), 0.5, (0.5 - (fma(-0.5, cos((lambda1 - lambda2)), 0.5) * t_0))))) * (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(Float64(phi1 - phi2) * 0.5) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * t_1) * t_1)) <= 0.00095) tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 0.5)), t_0, (sin(t_2) ^ 2.0))), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(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(cos(Float64(t_2 * 2.0)) * 0.5)))), sqrt(fma(cos(Float64(phi1 - phi2)), 0.5, Float64(0.5 - Float64(fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5) * t_0))))) * 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[(phi1 - phi2), $MachinePrecision] * 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], 0.00095], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $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[Cos[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(0.5 - N[(N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * t$95$0), $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 := \left(\phi_1 - \phi_2\right) \cdot 0.5\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot t\_1\right) \cdot t\_1 \leq 0.00095:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, t\_0, {\sin t\_2}^{2}\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\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 - \cos \left(t\_2 \cdot 2\right) \cdot 0.5\right)}}{\sqrt{\mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), 0.5, 0.5 - \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right) \cdot t\_0\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))))) < 9.49999999999999998e-4Initial program 65.7%
Applied rewrites12.9%
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--.f6412.9
Applied rewrites12.9%
Taylor expanded in lambda2 around 0
lower-cos.f6415.8
Applied rewrites15.8%
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
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
unpow2N/A
Applied rewrites45.5%
if 9.49999999999999998e-4 < (+.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 59.9%
Applied rewrites59.9%
Applied rewrites59.9%
Final simplification58.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(*
(atan2
(sqrt
(+
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))
(* (sin (* 0.5 phi2)) (cos (* phi1 0.5))))
2.0)
(* (* (* (cos phi2) (cos phi1)) t_0) t_0)))
(sqrt
(/
(-
(+ (cos (- phi1 phi2)) 1.0)
(*
(+ (cos (- phi2 phi1)) (cos (+ phi1 phi2)))
(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 = sin(((lambda1 - lambda2) / 2.0));
return (atan2(sqrt((pow(((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (sin((0.5 * phi2)) * cos((phi1 * 0.5)))), 2.0) + (((cos(phi2) * cos(phi1)) * t_0) * t_0))), sqrt((((cos((phi1 - phi2)) + 1.0) - ((cos((phi2 - phi1)) + cos((phi1 + phi2))) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))) / 2.0))) * 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((Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(0.5 * phi2)) * cos(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(Float64(Float64(cos(phi2) * cos(phi1)) * t_0) * t_0))), sqrt(Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + 1.0) - Float64(Float64(cos(Float64(phi2 - phi1)) + cos(Float64(phi1 + phi2))) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))) / 2.0))) * 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[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Cos[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[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $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(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(0.5 \cdot \phi_2\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2} + \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\frac{\left(\cos \left(\phi_1 - \phi_2\right) + 1\right) - \left(\cos \left(\phi_2 - \phi_1\right) + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}{2}}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 60.3%
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-*.f6461.3
Applied rewrites61.3%
Applied rewrites61.6%
Final simplification61.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(*
(atan2
(sqrt
(+
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))
(* (sin (* 0.5 phi2)) (cos (* phi1 0.5))))
2.0)
(* (* (* (cos phi2) (cos phi1)) t_0) t_0)))
(sqrt
(fma
(* (fma -0.5 (cos (- lambda1 lambda2)) 0.5) (cos phi2))
(- (cos phi1))
(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));
return (atan2(sqrt((pow(((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (sin((0.5 * phi2)) * cos((phi1 * 0.5)))), 2.0) + (((cos(phi2) * cos(phi1)) * t_0) * t_0))), sqrt(fma((fma(-0.5, cos((lambda1 - lambda2)), 0.5) * cos(phi2)), -cos(phi1), 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)) return Float64(Float64(atan(sqrt(Float64((Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(0.5 * phi2)) * cos(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(Float64(Float64(cos(phi2) * cos(phi1)) * t_0) * t_0))), sqrt(fma(Float64(fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5) * cos(phi2)), Float64(-cos(phi1)), 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]}, N[(N[(N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Cos[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[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * (-N[Cos[phi1], $MachinePrecision]) + N[(N[Cos[N[(phi1 - phi2), $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(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(0.5 \cdot \phi_2\right) \cdot \cos \left(\phi_1 \cdot 0.5\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(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right) \cdot \cos \phi_2, -\cos \phi_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 60.3%
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-*.f6461.3
Applied rewrites61.3%
Applied rewrites61.4%
Final simplification61.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
(*
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* t_0 t_1) t_1)))
(sqrt
(-
(+ (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5) 0.5)
(* (- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 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 = sin(((lambda1 - lambda2) / 2.0));
return (atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1))), sqrt((((cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5) + 0.5) - ((0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) * t_0)))) * 2.0) * R;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = cos(phi2) * cos(phi1)
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
code = (atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + ((t_0 * t_1) * t_1))), sqrt((((cos((((phi1 - phi2) * 0.5d0) * 2.0d0)) * 0.5d0) + 0.5d0) - ((0.5d0 - (cos((((lambda1 - lambda2) * 0.5d0) * 2.0d0)) * 0.5d0)) * t_0)))) * 2.0d0) * r
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi2) * Math.cos(phi1);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
return (Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1))), Math.sqrt((((Math.cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5) + 0.5) - ((0.5 - (Math.cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) * t_0)))) * 2.0) * R;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi2) * math.cos(phi1) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) return (math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * t_1) * t_1))), math.sqrt((((math.cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5) + 0.5) - ((0.5 - (math.cos((((lambda1 - lambda2) * 0.5) * 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 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(Float64(atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * t_1) * t_1))), sqrt(Float64(Float64(Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5) + 0.5) - Float64(Float64(0.5 - Float64(cos(Float64(Float64(Float64(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) * t_0)))) * 2.0) * R) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi2) * cos(phi1); t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = (atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + ((t_0 * t_1) * t_1))), sqrt((((cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5) + 0.5) - ((0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) * t_0)))) * 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[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[(t$95$0 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + 0.5), $MachinePrecision] - 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), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * 2.0), $MachinePrecision] * R), $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)\\
\left(\tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot t\_1\right) \cdot t\_1}}{\sqrt{\left(\cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5 + 0.5\right) - \left(0.5 - \cos \left(\left(\left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\right) \cdot t\_0}} \cdot 2\right) \cdot R
\end{array}
\end{array}
Initial program 60.3%
Applied rewrites60.4%
Final simplification60.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5)))
(t_2 (* (- phi1 phi2) 0.5)))
(*
(* 2.0 R)
(atan2
(sqrt (fma t_1 t_0 (pow (sin t_2) 2.0)))
(sqrt (- (+ (* (cos (* t_2 2.0)) 0.5) 0.5) (* t_1 t_0)))))))
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((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5);
double t_2 = (phi1 - phi2) * 0.5;
return (2.0 * R) * atan2(sqrt(fma(t_1, t_0, pow(sin(t_2), 2.0))), sqrt((((cos((t_2 * 2.0)) * 0.5) + 0.5) - (t_1 * t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(lambda1 - lambda2) * 0.5) * 2.0)) * 0.5)) t_2 = Float64(Float64(phi1 - phi2) * 0.5) return Float64(Float64(2.0 * R) * atan(sqrt(fma(t_1, t_0, (sin(t_2) ^ 2.0))), sqrt(Float64(Float64(Float64(cos(Float64(t_2 * 2.0)) * 0.5) + 0.5) - Float64(t_1 * t_0))))) 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[(lambda1 - lambda2), $MachinePrecision] * 0.5), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] * 0.5), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$0 + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $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(\lambda_1 - \lambda_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_2 := \left(\phi_1 - \phi_2\right) \cdot 0.5\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_0, {\sin t\_2}^{2}\right)}}{\sqrt{\left(\cos \left(t\_2 \cdot 2\right) \cdot 0.5 + 0.5\right) - t\_1 \cdot t\_0}}
\end{array}
\end{array}
Initial program 60.3%
Applied rewrites56.2%
lift--.f64N/A
lift-*.f64N/A
lift-cos.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
unpow2N/A
lift-pow.f6458.6
Applied rewrites58.6%
Final simplification58.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (- lambda1 lambda2) 0.5))
(t_1 (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))))
(t_2 (* (cos phi2) (cos phi1)))
(t_3 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5)))
(t_4
(*
(atan2
(sqrt (fma (- 0.5 (* (cos (* t_0 2.0)) 0.5)) t_2 t_3))
(sqrt (+ (* t_1 (cos phi2)) 0.5)))
(* 2.0 R))))
(if (<= phi2 -1.16e-5)
t_4
(if (<= phi2 8.5e+16)
(*
(atan2
(sqrt (fma (pow (sin t_0) 2.0) t_2 t_3))
(sqrt (+ (* t_1 (cos phi1)) 0.5)))
(* 2.0 R))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (lambda1 - lambda2) * 0.5;
double t_1 = 0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5));
double t_2 = cos(phi2) * cos(phi1);
double t_3 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_4 = atan2(sqrt(fma((0.5 - (cos((t_0 * 2.0)) * 0.5)), t_2, t_3)), sqrt(((t_1 * cos(phi2)) + 0.5))) * (2.0 * R);
double tmp;
if (phi2 <= -1.16e-5) {
tmp = t_4;
} else if (phi2 <= 8.5e+16) {
tmp = atan2(sqrt(fma(pow(sin(t_0), 2.0), t_2, t_3)), sqrt(((t_1 * cos(phi1)) + 0.5))) * (2.0 * R);
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(lambda1 - lambda2) * 0.5) t_1 = Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) t_2 = Float64(cos(phi2) * cos(phi1)) t_3 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_4 = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(Float64(t_0 * 2.0)) * 0.5)), t_2, t_3)), sqrt(Float64(Float64(t_1 * cos(phi2)) + 0.5))) * Float64(2.0 * R)) tmp = 0.0 if (phi2 <= -1.16e-5) tmp = t_4; elseif (phi2 <= 8.5e+16) tmp = Float64(atan(sqrt(fma((sin(t_0) ^ 2.0), t_2, t_3)), sqrt(Float64(Float64(t_1 * cos(phi1)) + 0.5))) * Float64(2.0 * R)); else tmp = t_4; 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[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = 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$4 = 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$2 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$1 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.16e-5], t$95$4, If[LessEqual[phi2, 8.5e+16], N[(N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] * t$95$2 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\lambda_1 - \lambda_2\right) \cdot 0.5\\
t_1 := 0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\\
t_2 := \cos \phi_2 \cdot \cos \phi_1\\
t_3 := 0.5 - \cos \left(\left(\left(\phi_1 - \phi_2\right) \cdot 0.5\right) \cdot 2\right) \cdot 0.5\\
t_4 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \left(t\_0 \cdot 2\right) \cdot 0.5, t\_2, t\_3\right)}}{\sqrt{t\_1 \cdot \cos \phi_2 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_2 \leq -1.16 \cdot 10^{-5}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{+16}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin t\_0}^{2}, t\_2, t\_3\right)}}{\sqrt{t\_1 \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi2 < -1.1600000000000001e-5 or 8.5e16 < phi2 Initial program 47.4%
Applied rewrites47.5%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/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
Applied rewrites47.7%
if -1.1600000000000001e-5 < phi2 < 8.5e16Initial program 73.7%
Applied rewrites65.2%
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--.f6465.2
Applied rewrites65.2%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
metadata-evalN/A
lift--.f64N/A
associate-/r/N/A
clear-numN/A
lift-/.f64N/A
sqr-sin-aN/A
lift-sin.f64N/A
lift-sin.f64N/A
pow2N/A
lower-pow.f6469.3
Applied rewrites69.3%
Final simplification58.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (- 0.5 (* (cos (* (* (- lambda1 lambda2) 0.5) 2.0)) 0.5)))
(t_3
(*
(atan2
(sqrt (fma t_2 t_1 (- 0.5 (* (cos phi1) 0.5))))
(sqrt (+ (* t_0 (cos phi1)) 0.5)))
(* 2.0 R))))
(if (<= phi1 -8.5)
t_3
(if (<= phi1 0.0014)
(*
(atan2
(sqrt
(fma t_2 t_1 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (+ (* t_0 (cos phi2)) 0.5)))
(* 2.0 R))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5));
double t_1 = cos(phi2) * cos(phi1);
double t_2 = 0.5 - (cos((((lambda1 - lambda2) * 0.5) * 2.0)) * 0.5);
double t_3 = atan2(sqrt(fma(t_2, t_1, (0.5 - (cos(phi1) * 0.5)))), sqrt(((t_0 * cos(phi1)) + 0.5))) * (2.0 * R);
double tmp;
if (phi1 <= -8.5) {
tmp = t_3;
} else if (phi1 <= 0.0014) {
tmp = atan2(sqrt(fma(t_2, t_1, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(((t_0 * cos(phi2)) + 0.5))) * (2.0 * R);
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) 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)) t_3 = Float64(atan(sqrt(fma(t_2, t_1, Float64(0.5 - Float64(cos(phi1) * 0.5)))), sqrt(Float64(Float64(t_0 * cos(phi1)) + 0.5))) * Float64(2.0 * R)) tmp = 0.0 if (phi1 <= -8.5) tmp = t_3; elseif (phi1 <= 0.0014) 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(Float64(t_0 * cos(phi2)) + 0.5))) * Float64(2.0 * R)); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $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]}, Block[{t$95$3 = 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] / N[Sqrt[N[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.5], t$95$3, If[LessEqual[phi1, 0.0014], 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[(N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\\
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\\
t_3 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_1, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{\sqrt{t\_0 \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_1 \leq -8.5:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 0.0014:\\
\;\;\;\;\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{t\_0 \cdot \cos \phi_2 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -8.5 or 0.00139999999999999999 < phi1 Initial program 46.2%
Applied rewrites46.2%
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--.f6446.6
Applied rewrites46.6%
Taylor expanded in phi2 around 0
lower-cos.f6447.3
Applied rewrites47.3%
if -8.5 < phi1 < 0.00139999999999999999Initial program 74.9%
Applied rewrites66.5%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/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
Applied rewrites66.5%
Final simplification56.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos lambda1) 0.5))
t_0
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt
(-
0.5
(*
(- (- 0.5 (* (cos (- lambda1 lambda2)) 0.5)) 0.5)
(cos phi2)))))
(* 2.0 R))))
(if (<= phi2 -0.00172)
t_1
(if (<= phi2 7.2e+19)
(*
(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))) (cos phi1))
0.5)))
(* 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((0.5 - (cos(lambda1) * 0.5)), t_0, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - (((0.5 - (cos((lambda1 - lambda2)) * 0.5)) - 0.5) * cos(phi2))))) * (2.0 * R);
double tmp;
if (phi2 <= -0.00172) {
tmp = t_1;
} else if (phi2 <= 7.2e+19) {
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))) * cos(phi1)) + 0.5))) * (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(Float64(0.5 - Float64(cos(lambda1) * 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(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 0.5)) - 0.5) * cos(phi2))))) * Float64(2.0 * R)) tmp = 0.0 if (phi2 <= -0.00172) tmp = t_1; elseif (phi2 <= 7.2e+19) 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(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * 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[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $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[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.00172], t$95$1, If[LessEqual[phi2, 7.2e+19], 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[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $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(0.5 - \cos \lambda_1 \cdot 0.5, 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 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 0.5\right) - 0.5\right) \cdot \cos \phi_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_2 \leq -0.00172:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_2 \leq 7.2 \cdot 10^{+19}:\\
\;\;\;\;\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{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi2 < -0.00171999999999999996 or 7.2e19 < phi2 Initial program 47.6%
Applied rewrites47.6%
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--.f6420.2
Applied rewrites20.2%
Taylor expanded in lambda2 around 0
lower-cos.f6420.1
Applied rewrites20.1%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
sub-negN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
Applied rewrites39.0%
if -0.00171999999999999996 < phi2 < 7.2e19Initial program 72.9%
Applied rewrites64.6%
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--.f6464.3
Applied rewrites64.3%
Taylor expanded in phi2 around 0
lower-cos.f6464.4
Applied rewrites64.4%
Final simplification51.8%
(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 (- 0.5 (* (cos lambda2) 0.5)) t_0 t_1))
(sqrt
(+
(* (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))) (cos phi1))
0.5)))
(* 2.0 R))))
(if (<= lambda2 -1.9e+37)
t_2
(if (<= lambda2 2.6e-25)
(*
(atan2
(sqrt (fma (- 0.5 (* (cos lambda1) 0.5)) t_0 t_1))
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda1 lambda2)) 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 = 0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5);
double t_2 = atan2(sqrt(fma((0.5 - (cos(lambda2) * 0.5)), t_0, t_1)), sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * (2.0 * R);
double tmp;
if (lambda2 <= -1.9e+37) {
tmp = t_2;
} else if (lambda2 <= 2.6e-25) {
tmp = atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), t_0, t_1)), sqrt((0.5 - (((0.5 - (cos((lambda1 - lambda2)) * 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 = Float64(0.5 - Float64(cos(Float64(Float64(Float64(phi1 - phi2) * 0.5) * 2.0)) * 0.5)) t_2 = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda2) * 0.5)), t_0, t_1)), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(2.0 * R)) tmp = 0.0 if (lambda2 <= -1.9e+37) tmp = t_2; elseif (lambda2 <= 2.6e-25) tmp = Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 0.5)), t_0, t_1)), sqrt(Float64(0.5 - Float64(Float64(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 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[(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[(0.5 - N[(N[Cos[lambda2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -1.9e+37], t$95$2, If[LessEqual[lambda2, 2.6e-25], N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[(N[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $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 := 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(0.5 - \cos \lambda_2 \cdot 0.5, t\_0, t\_1\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\lambda_2 \leq -1.9 \cdot 10^{+37}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_2 \leq 2.6 \cdot 10^{-25}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, t\_0, t\_1\right)}}{\sqrt{0.5 - \left(\left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 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 lambda2 < -1.89999999999999995e37 or 2.6e-25 < lambda2 Initial program 50.6%
Applied rewrites49.8%
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--.f6441.0
Applied rewrites41.0%
Taylor expanded in lambda1 around 0
cos-negN/A
lower-cos.f6439.7
Applied rewrites39.7%
if -1.89999999999999995e37 < lambda2 < 2.6e-25Initial program 72.1%
Applied rewrites63.9%
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--.f6444.1
Applied rewrites44.1%
Taylor expanded in lambda2 around 0
lower-cos.f6444.1
Applied rewrites44.1%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
sub-negN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
Applied rewrites51.0%
Final simplification44.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (- 0.5 (* (cos lambda1) 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))) (cos phi1))
0.5)))
(* 2.0 R))))
(if (<= phi1 -0.00042)
t_2
(if (<= phi1 0.0011)
(*
(atan2
(sqrt
(fma t_1 t_0 (- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt
(-
0.5
(* (- (- 0.5 (* (cos (- lambda1 lambda2)) 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 = 0.5 - (cos(lambda1) * 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))) * cos(phi1)) + 0.5))) * (2.0 * R);
double tmp;
if (phi1 <= -0.00042) {
tmp = t_2;
} else if (phi1 <= 0.0011) {
tmp = atan2(sqrt(fma(t_1, t_0, (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt((0.5 - (((0.5 - (cos((lambda1 - lambda2)) * 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 = Float64(0.5 - Float64(cos(lambda1) * 0.5)) t_2 = Float64(atan(sqrt(fma(t_1, t_0, Float64(0.5 - Float64(cos(phi1) * 0.5)))), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(2.0 * R)) tmp = 0.0 if (phi1 <= -0.00042) tmp = t_2; elseif (phi1 <= 0.0011) 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(Float64(0.5 - Float64(cos(Float64(lambda1 - lambda2)) * 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[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $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[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.00042], t$95$2, If[LessEqual[phi1, 0.0011], 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[(0.5 - N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $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 := 0.5 - \cos \lambda_1 \cdot 0.5\\
t_2 := \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_0, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_1 \leq -0.00042:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 0.0011:\\
\;\;\;\;\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(\left(0.5 - \cos \left(\lambda_1 - \lambda_2\right) \cdot 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 < -4.2000000000000002e-4 or 0.00110000000000000007 < phi1 Initial program 46.0%
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--.f6446.4
Applied rewrites46.4%
Taylor expanded in lambda2 around 0
lower-cos.f6434.2
Applied rewrites34.2%
Taylor expanded in phi2 around 0
lower-cos.f6434.7
Applied rewrites34.7%
if -4.2000000000000002e-4 < phi1 < 0.00110000000000000007Initial program 75.3%
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--.f6438.2
Applied rewrites38.2%
Taylor expanded in lambda2 around 0
lower-cos.f6428.4
Applied rewrites28.4%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower--.f64N/A
*-commutativeN/A
sub-negN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
Applied rewrites47.6%
Final simplification41.0%
(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))) (cos phi1))
0.5)))
(t_2 (- 0.5 (* (cos lambda1) 0.5)))
(t_3
(*
(atan2 (sqrt (fma t_2 t_0 (- 0.5 (* (cos phi1) 0.5)))) t_1)
(* 2.0 R))))
(if (<= phi1 -5.7e-5)
t_3
(if (<= phi1 2e-7)
(*
(atan2 (sqrt (fma t_2 t_0 (- 0.5 (* (cos phi2) 0.5)))) t_1)
(* 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 = sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5));
double t_2 = 0.5 - (cos(lambda1) * 0.5);
double t_3 = atan2(sqrt(fma(t_2, t_0, (0.5 - (cos(phi1) * 0.5)))), t_1) * (2.0 * R);
double tmp;
if (phi1 <= -5.7e-5) {
tmp = t_3;
} else if (phi1 <= 2e-7) {
tmp = atan2(sqrt(fma(t_2, t_0, (0.5 - (cos(phi2) * 0.5)))), t_1) * (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 = sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5)) t_2 = Float64(0.5 - Float64(cos(lambda1) * 0.5)) t_3 = Float64(atan(sqrt(fma(t_2, t_0, Float64(0.5 - Float64(cos(phi1) * 0.5)))), t_1) * Float64(2.0 * R)) tmp = 0.0 if (phi1 <= -5.7e-5) tmp = t_3; elseif (phi1 <= 2e-7) 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 = 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[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = 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]}, If[LessEqual[phi1, -5.7e-5], t$95$3, If[LessEqual[phi1, 2e-7], 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], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}\\
t_2 := 0.5 - \cos \lambda_1 \cdot 0.5\\
t_3 := \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)\\
\mathbf{if}\;\phi_1 \leq -5.7 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 2 \cdot 10^{-7}:\\
\;\;\;\;\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}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -5.7000000000000003e-5 or 1.9999999999999999e-7 < phi1 Initial program 46.0%
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--.f6446.4
Applied rewrites46.4%
Taylor expanded in lambda2 around 0
lower-cos.f6434.2
Applied rewrites34.2%
Taylor expanded in phi2 around 0
lower-cos.f6434.7
Applied rewrites34.7%
if -5.7000000000000003e-5 < phi1 < 1.9999999999999999e-7Initial program 75.3%
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--.f6438.2
Applied rewrites38.2%
Taylor expanded in lambda2 around 0
lower-cos.f6428.4
Applied rewrites28.4%
Taylor expanded in phi1 around 0
cos-negN/A
lower-cos.f6428.4
Applied rewrites28.4%
Final simplification31.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos lambda1) 0.5))
(* (cos phi2) (cos phi1))
(- 0.5 (* (cos (* (* (- phi1 phi2) 0.5) 2.0)) 0.5))))
(sqrt (fma (* (cos (- lambda2 lambda1)) 0.5) (cos phi1) 0.5)))
(* 2.0 R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), (cos(phi2) * cos(phi1)), (0.5 - (cos((((phi1 - phi2) * 0.5) * 2.0)) * 0.5)))), sqrt(fma((cos((lambda2 - lambda1)) * 0.5), cos(phi1), 0.5))) * (2.0 * R);
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 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(Float64(lambda2 - lambda1)) * 0.5), cos(phi1), 0.5))) * Float64(2.0 * R)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $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[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, \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_2 - \lambda_1\right) \cdot 0.5, \cos \phi_1, 0.5\right)}} \cdot \left(2 \cdot R\right)
\end{array}
Initial program 60.3%
Applied rewrites56.2%
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--.f6442.4
Applied rewrites42.4%
Taylor expanded in lambda2 around 0
lower-cos.f6431.4
Applied rewrites31.4%
Applied rewrites31.4%
Final simplification31.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos lambda1) 0.5))
(* (cos phi2) (cos phi1))
(fma (cos (- phi1 phi2)) -0.5 0.5)))
(sqrt
(+ (* (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))) (cos phi1)) 0.5)))
(* 2.0 R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), (cos(phi2) * cos(phi1)), fma(cos((phi1 - phi2)), -0.5, 0.5))), sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * (2.0 * R);
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 0.5)), Float64(cos(phi2) * cos(phi1)), fma(cos(Float64(phi1 - phi2)), -0.5, 0.5))), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(2.0 * R)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, \cos \phi_2 \cdot \cos \phi_1, \mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), -0.5, 0.5\right)\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)
\end{array}
Initial program 60.3%
Applied rewrites56.2%
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--.f6442.4
Applied rewrites42.4%
Taylor expanded in lambda2 around 0
lower-cos.f6431.4
Applied rewrites31.4%
lift--.f64N/A
sub-negN/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
lower-fma.f6431.4
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
metadata-evalN/A
*-lft-identity31.4
Applied rewrites31.4%
Final simplification31.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(atan2
(sqrt
(fma
(- 0.5 (* (cos lambda1) 0.5))
(* (cos phi2) (cos phi1))
(- 0.5 (* (cos phi1) 0.5))))
(sqrt
(+ (* (- 0.5 (- 0.5 (* (cos (- lambda2 lambda1)) 0.5))) (cos phi1)) 0.5)))
(* 2.0 R)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sqrt(fma((0.5 - (cos(lambda1) * 0.5)), (cos(phi2) * cos(phi1)), (0.5 - (cos(phi1) * 0.5)))), sqrt((((0.5 - (0.5 - (cos((lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * (2.0 * R);
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(atan(sqrt(fma(Float64(0.5 - Float64(cos(lambda1) * 0.5)), Float64(cos(phi2) * cos(phi1)), Float64(0.5 - Float64(cos(phi1) * 0.5)))), sqrt(Float64(Float64(Float64(0.5 - Float64(0.5 - Float64(cos(Float64(lambda2 - lambda1)) * 0.5))) * cos(phi1)) + 0.5))) * Float64(2.0 * R)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(N[Cos[lambda1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(0.5 - N[(0.5 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(0.5 - \cos \lambda_1 \cdot 0.5, \cos \phi_2 \cdot \cos \phi_1, 0.5 - \cos \phi_1 \cdot 0.5\right)}}{\sqrt{\left(0.5 - \left(0.5 - \cos \left(\lambda_2 - \lambda_1\right) \cdot 0.5\right)\right) \cdot \cos \phi_1 + 0.5}} \cdot \left(2 \cdot R\right)
\end{array}
Initial program 60.3%
Applied rewrites56.2%
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--.f6442.4
Applied rewrites42.4%
Taylor expanded in lambda2 around 0
lower-cos.f6431.4
Applied rewrites31.4%
Taylor expanded in phi2 around 0
lower-cos.f6427.7
Applied rewrites27.7%
Final simplification27.7%
herbie shell --seed 2024235
(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))))))))))