
(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 26 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* 0.5 phi1)))
(t_1 (* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (sin (* 0.5 (- lambda1 lambda2))))
(t_4 (sin (* phi2 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_4 (- t_0) t_1) 2.0)
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))))
(sqrt
(-
1.0
(+
(pow (- t_1 (* t_4 t_0)) 2.0)
(* (* (cos phi1) t_3) (* (cos phi2) t_3))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((0.5 * phi1));
double t_1 = cos((phi2 * 0.5)) * sin((0.5 * phi1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = sin((0.5 * (lambda1 - lambda2)));
double t_4 = sin((phi2 * 0.5));
return R * (2.0 * atan2(sqrt((pow(fma(t_4, -t_0, t_1), 2.0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2)))), sqrt((1.0 - (pow((t_1 - (t_4 * t_0)), 2.0) + ((cos(phi1) * t_3) * (cos(phi2) * t_3)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(0.5 * phi1)) t_1 = Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_4 = sin(Float64(phi2 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_4, Float64(-t_0), t_1) ^ 2.0) + Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)))), sqrt(Float64(1.0 - Float64((Float64(t_1 - Float64(t_4 * t_0)) ^ 2.0) + Float64(Float64(cos(phi1) * t_3) * Float64(cos(phi2) * t_3)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$4 * (-t$95$0) + t$95$1), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$1 - N[(t$95$4 * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$3), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(0.5 \cdot \phi_1\right)\\
t_1 := \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_4 := \sin \left(\phi_2 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_4, -t\_0, t\_1\right)\right)}^{2} + t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)}}{\sqrt{1 - \left({\left(t\_1 - t\_4 \cdot t\_0\right)}^{2} + \left(\cos \phi_1 \cdot t\_3\right) \cdot \left(\cos \phi_2 \cdot t\_3\right)\right)}}\right)
\end{array}
\end{array}
Initial program 63.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.3
Applied rewrites64.3%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites80.5%
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
Applied rewrites80.5%
Final simplification80.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi2 0.5)))
(t_1 (* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_2 (* (* (cos phi1) (cos phi2)) t_2)))
(t_4 (+ t_3 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_5 (cos (* 0.5 phi1)))
(t_6 (pow (- t_1 (* t_0 t_5)) 2.0))
(t_7 (pow (fma t_0 (- t_5) t_1) 2.0)))
(if (<= (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))) 0.2)
(*
R
(*
2.0
(atan2
(sqrt (+ t_7 t_3))
(sqrt
(-
1.0
(+
t_6
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_7
(*
(cos phi1)
(* (cos phi2) (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))))
(sqrt (- 1.0 (+ t_3 t_6)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 * 0.5));
double t_1 = cos((phi2 * 0.5)) * sin((0.5 * phi1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((cos(phi1) * cos(phi2)) * t_2);
double t_4 = t_3 + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_5 = cos((0.5 * phi1));
double t_6 = pow((t_1 - (t_0 * t_5)), 2.0);
double t_7 = pow(fma(t_0, -t_5, t_1), 2.0);
double tmp;
if (atan2(sqrt(t_4), sqrt((1.0 - t_4))) <= 0.2) {
tmp = R * (2.0 * atan2(sqrt((t_7 + t_3)), sqrt((1.0 - (t_6 + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_7 + (cos(phi1) * (cos(phi2) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))), sqrt((1.0 - (t_3 + t_6)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 * 0.5)) t_1 = Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) t_4 = Float64(t_3 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_5 = cos(Float64(0.5 * phi1)) t_6 = Float64(t_1 - Float64(t_0 * t_5)) ^ 2.0 t_7 = fma(t_0, Float64(-t_5), t_1) ^ 2.0 tmp = 0.0 if (atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))) <= 0.2) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_7 + t_3)), sqrt(Float64(1.0 - Float64(t_6 + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_7 + Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))), sqrt(Float64(1.0 - Float64(t_3 + t_6)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Power[N[(t$95$1 - N[(t$95$0 * t$95$5), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$7 = N[Power[N[(t$95$0 * (-t$95$5) + t$95$1), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.2], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$7 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$6 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$7 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 + t$95$6), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_2 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)\\
t_4 := t\_3 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_5 := \cos \left(0.5 \cdot \phi_1\right)\\
t_6 := {\left(t\_1 - t\_0 \cdot t\_5\right)}^{2}\\
t_7 := {\left(\mathsf{fma}\left(t\_0, -t\_5, t\_1\right)\right)}^{2}\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}} \leq 0.2:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_7 + t\_3}}{\sqrt{1 - \left(t\_6 + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_7 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)}}{\sqrt{1 - \left(t\_3 + t\_6\right)}}\right)\\
\end{array}
\end{array}
if (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) < 0.20000000000000001Initial program 83.5%
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-*.f6483.7
Applied rewrites83.7%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites86.2%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6486.2
Applied rewrites86.2%
if 0.20000000000000001 < (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) Initial program 60.5%
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-*.f6461.8
Applied rewrites61.8%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites79.7%
Applied rewrites79.7%
Final simplification80.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi2 0.5)))
(t_1 (cos (* 0.5 phi1)))
(t_2 (* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
(t_3 (pow (fma t_0 (- t_1) t_2) 2.0))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (* t_4 (* (* (cos phi1) (cos phi2)) t_4)))
(t_6 (sqrt (+ t_3 t_5)))
(t_7 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_8 (* (cos phi1) t_7))
(t_9 (pow (- t_2 (* t_0 t_1)) 2.0)))
(if (<= phi1 -0.0042)
(* R (* 2.0 (atan2 (sqrt (+ t_3 t_8)) (sqrt (- 1.0 (+ t_5 t_9))))))
(if (<= phi1 45000000000000.0)
(* R (* 2.0 (atan2 t_6 (sqrt (- 1.0 (+ t_9 (* (cos phi2) t_7)))))))
(* R (* 2.0 (atan2 t_6 (sqrt (- 1.0 (+ t_9 t_8))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 * 0.5));
double t_1 = cos((0.5 * phi1));
double t_2 = cos((phi2 * 0.5)) * sin((0.5 * phi1));
double t_3 = pow(fma(t_0, -t_1, t_2), 2.0);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = t_4 * ((cos(phi1) * cos(phi2)) * t_4);
double t_6 = sqrt((t_3 + t_5));
double t_7 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_8 = cos(phi1) * t_7;
double t_9 = pow((t_2 - (t_0 * t_1)), 2.0);
double tmp;
if (phi1 <= -0.0042) {
tmp = R * (2.0 * atan2(sqrt((t_3 + t_8)), sqrt((1.0 - (t_5 + t_9)))));
} else if (phi1 <= 45000000000000.0) {
tmp = R * (2.0 * atan2(t_6, sqrt((1.0 - (t_9 + (cos(phi2) * t_7))))));
} else {
tmp = R * (2.0 * atan2(t_6, sqrt((1.0 - (t_9 + t_8)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 * 0.5)) t_1 = cos(Float64(0.5 * phi1)) t_2 = Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) t_3 = fma(t_0, Float64(-t_1), t_2) ^ 2.0 t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64(t_4 * Float64(Float64(cos(phi1) * cos(phi2)) * t_4)) t_6 = sqrt(Float64(t_3 + t_5)) t_7 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_8 = Float64(cos(phi1) * t_7) t_9 = Float64(t_2 - Float64(t_0 * t_1)) ^ 2.0 tmp = 0.0 if (phi1 <= -0.0042) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + t_8)), sqrt(Float64(1.0 - Float64(t_5 + t_9)))))); elseif (phi1 <= 45000000000000.0) tmp = Float64(R * Float64(2.0 * atan(t_6, sqrt(Float64(1.0 - Float64(t_9 + Float64(cos(phi2) * t_7))))))); else tmp = Float64(R * Float64(2.0 * atan(t_6, sqrt(Float64(1.0 - Float64(t_9 + t_8)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(t$95$0 * (-t$95$1) + t$95$2), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(t$95$3 + t$95$5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$8 = N[(N[Cos[phi1], $MachinePrecision] * t$95$7), $MachinePrecision]}, Block[{t$95$9 = N[Power[N[(t$95$2 - N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi1, -0.0042], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + t$95$8), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$5 + t$95$9), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 45000000000000.0], N[(R * N[(2.0 * N[ArcTan[t$95$6 / N[Sqrt[N[(1.0 - N[(t$95$9 + N[(N[Cos[phi2], $MachinePrecision] * t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$6 / N[Sqrt[N[(1.0 - N[(t$95$9 + t$95$8), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_2 \cdot 0.5\right)\\
t_1 := \cos \left(0.5 \cdot \phi_1\right)\\
t_2 := \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_3 := {\left(\mathsf{fma}\left(t\_0, -t\_1, t\_2\right)\right)}^{2}\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := t\_4 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right)\\
t_6 := \sqrt{t\_3 + t\_5}\\
t_7 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_8 := \cos \phi_1 \cdot t\_7\\
t_9 := {\left(t\_2 - t\_0 \cdot t\_1\right)}^{2}\\
\mathbf{if}\;\phi_1 \leq -0.0042:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + t\_8}}{\sqrt{1 - \left(t\_5 + t\_9\right)}}\right)\\
\mathbf{elif}\;\phi_1 \leq 45000000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_6}{\sqrt{1 - \left(t\_9 + \cos \phi_2 \cdot t\_7\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_6}{\sqrt{1 - \left(t\_9 + t\_8\right)}}\right)\\
\end{array}
\end{array}
if phi1 < -0.00419999999999999974Initial program 46.5%
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-*.f6448.1
Applied rewrites48.1%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites78.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6458.3
Applied rewrites58.3%
if -0.00419999999999999974 < phi1 < 4.5e13Initial program 79.7%
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-*.f6479.9
Applied rewrites79.9%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites82.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6480.8
Applied rewrites80.8%
if 4.5e13 < phi1 Initial program 44.7%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6447.1
Applied rewrites47.1%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites77.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6457.5
Applied rewrites57.5%
Final simplification69.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi2 0.5)))
(t_1 (cos (* 0.5 phi1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
(t_4 (pow (- t_3 (* t_0 t_1)) 2.0))
(t_5
(sqrt
(+
(pow (fma t_0 (- t_1) t_3) 2.0)
(* t_2 (* (* (cos phi1) (cos phi2)) t_2)))))
(t_6 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_7
(* R (* 2.0 (atan2 t_5 (sqrt (- 1.0 (+ t_4 (* (cos phi1) t_6)))))))))
(if (<= phi1 -0.0145)
t_7
(if (<= phi1 45000000000000.0)
(* R (* 2.0 (atan2 t_5 (sqrt (- 1.0 (+ t_4 (* (cos phi2) t_6)))))))
t_7))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 * 0.5));
double t_1 = cos((0.5 * phi1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((phi2 * 0.5)) * sin((0.5 * phi1));
double t_4 = pow((t_3 - (t_0 * t_1)), 2.0);
double t_5 = sqrt((pow(fma(t_0, -t_1, t_3), 2.0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2))));
double t_6 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_7 = R * (2.0 * atan2(t_5, sqrt((1.0 - (t_4 + (cos(phi1) * t_6))))));
double tmp;
if (phi1 <= -0.0145) {
tmp = t_7;
} else if (phi1 <= 45000000000000.0) {
tmp = R * (2.0 * atan2(t_5, sqrt((1.0 - (t_4 + (cos(phi2) * t_6))))));
} else {
tmp = t_7;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 * 0.5)) t_1 = cos(Float64(0.5 * phi1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) t_4 = Float64(t_3 - Float64(t_0 * t_1)) ^ 2.0 t_5 = sqrt(Float64((fma(t_0, Float64(-t_1), t_3) ^ 2.0) + Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)))) t_6 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_7 = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(1.0 - Float64(t_4 + Float64(cos(phi1) * t_6))))))) tmp = 0.0 if (phi1 <= -0.0145) tmp = t_7; elseif (phi1 <= 45000000000000.0) tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(1.0 - Float64(t_4 + Float64(cos(phi2) * t_6))))))); else tmp = t_7; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(t$95$3 - N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[Power[N[(t$95$0 * (-t$95$1) + t$95$3), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$7 = N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(1.0 - N[(t$95$4 + N[(N[Cos[phi1], $MachinePrecision] * t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.0145], t$95$7, If[LessEqual[phi1, 45000000000000.0], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(1.0 - N[(t$95$4 + N[(N[Cos[phi2], $MachinePrecision] * t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$7]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_2 \cdot 0.5\right)\\
t_1 := \cos \left(0.5 \cdot \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_4 := {\left(t\_3 - t\_0 \cdot t\_1\right)}^{2}\\
t_5 := \sqrt{{\left(\mathsf{fma}\left(t\_0, -t\_1, t\_3\right)\right)}^{2} + t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)}\\
t_6 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_7 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \left(t\_4 + \cos \phi_1 \cdot t\_6\right)}}\right)\\
\mathbf{if}\;\phi_1 \leq -0.0145:\\
\;\;\;\;t\_7\\
\mathbf{elif}\;\phi_1 \leq 45000000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \left(t\_4 + \cos \phi_2 \cdot t\_6\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_7\\
\end{array}
\end{array}
if phi1 < -0.0145000000000000007 or 4.5e13 < phi1 Initial program 45.5%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6447.5
Applied rewrites47.5%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites78.4%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6457.0
Applied rewrites57.0%
if -0.0145000000000000007 < phi1 < 4.5e13Initial program 79.7%
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-*.f6479.9
Applied rewrites79.9%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites82.5%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6480.8
Applied rewrites80.8%
Final simplification69.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi2 0.5)))
(t_1 (sin (* 0.5 phi1)))
(t_2 (cos (* 0.5 phi1)))
(t_3 (* -0.5 (- lambda1)))
(t_4 (* (cos (* phi2 0.5)) t_1))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (* t_5 (* (* (cos phi1) (cos phi2)) t_5)))
(t_7
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_0 (- t_2) t_4) 2.0)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(sqrt (- 1.0 (+ t_6 (pow (- t_4 (* t_0 t_2)) 2.0)))))))))
(if (<= phi2 -1.08e-6)
t_7
(if (<= phi2 27.5)
(*
R
(*
2.0
(atan2
(sqrt (+ t_6 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(fma
(pow
(fma
(sin (* lambda2 -0.5))
(cos t_3)
(* (cos (* lambda2 -0.5)) (sin t_3)))
2.0)
(cos phi1)
(* t_1 (fma t_2 (- phi2) t_1))))))))
t_7))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 * 0.5));
double t_1 = sin((0.5 * phi1));
double t_2 = cos((0.5 * phi1));
double t_3 = -0.5 * -lambda1;
double t_4 = cos((phi2 * 0.5)) * t_1;
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = t_5 * ((cos(phi1) * cos(phi2)) * t_5);
double t_7 = R * (2.0 * atan2(sqrt((pow(fma(t_0, -t_2, t_4), 2.0) + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), sqrt((1.0 - (t_6 + pow((t_4 - (t_0 * t_2)), 2.0))))));
double tmp;
if (phi2 <= -1.08e-6) {
tmp = t_7;
} else if (phi2 <= 27.5) {
tmp = R * (2.0 * atan2(sqrt((t_6 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - fma(pow(fma(sin((lambda2 * -0.5)), cos(t_3), (cos((lambda2 * -0.5)) * sin(t_3))), 2.0), cos(phi1), (t_1 * fma(t_2, -phi2, t_1)))))));
} else {
tmp = t_7;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 * 0.5)) t_1 = sin(Float64(0.5 * phi1)) t_2 = cos(Float64(0.5 * phi1)) t_3 = Float64(-0.5 * Float64(-lambda1)) t_4 = Float64(cos(Float64(phi2 * 0.5)) * t_1) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(t_5 * Float64(Float64(cos(phi1) * cos(phi2)) * t_5)) t_7 = Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_0, Float64(-t_2), t_4) ^ 2.0) + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), sqrt(Float64(1.0 - Float64(t_6 + (Float64(t_4 - Float64(t_0 * t_2)) ^ 2.0))))))) tmp = 0.0 if (phi2 <= -1.08e-6) tmp = t_7; elseif (phi2 <= 27.5) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_6 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - fma((fma(sin(Float64(lambda2 * -0.5)), cos(t_3), Float64(cos(Float64(lambda2 * -0.5)) * sin(t_3))) ^ 2.0), cos(phi1), Float64(t_1 * fma(t_2, Float64(-phi2), t_1)))))))); else tmp = t_7; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(-0.5 * (-lambda1)), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$0 * (-t$95$2) + t$95$4), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$6 + N[Power[N[(t$95$4 - N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.08e-6], t$95$7, If[LessEqual[phi2, 27.5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$6 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[t$95$3], $MachinePrecision] + N[(N[Cos[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(t$95$1 * N[(t$95$2 * (-phi2) + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$7]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_2 \cdot 0.5\right)\\
t_1 := \sin \left(0.5 \cdot \phi_1\right)\\
t_2 := \cos \left(0.5 \cdot \phi_1\right)\\
t_3 := -0.5 \cdot \left(-\lambda_1\right)\\
t_4 := \cos \left(\phi_2 \cdot 0.5\right) \cdot t\_1\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := t\_5 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_5\right)\\
t_7 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_0, -t\_2, t\_4\right)\right)}^{2} + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_6 + {\left(t\_4 - t\_0 \cdot t\_2\right)}^{2}\right)}}\right)\\
\mathbf{if}\;\phi_2 \leq -1.08 \cdot 10^{-6}:\\
\;\;\;\;t\_7\\
\mathbf{elif}\;\phi_2 \leq 27.5:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left({\left(\mathsf{fma}\left(\sin \left(\lambda_2 \cdot -0.5\right), \cos t\_3, \cos \left(\lambda_2 \cdot -0.5\right) \cdot \sin t\_3\right)\right)}^{2}, \cos \phi_1, t\_1 \cdot \mathsf{fma}\left(t\_2, -\phi_2, t\_1\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_7\\
\end{array}
\end{array}
if phi2 < -1.08000000000000004e-6 or 27.5 < phi2 Initial program 51.0%
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-*.f6453.2
Applied rewrites53.2%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites84.8%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6462.5
Applied rewrites62.5%
if -1.08000000000000004e-6 < phi2 < 27.5Initial program 75.7%
Taylor expanded in phi2 around 0
Applied rewrites75.6%
sub-negN/A
distribute-rgt-inN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-neg.f6476.3
Applied rewrites76.3%
Final simplification69.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* 0.5 phi1)))
(t_1 (* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (sin (* phi2 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_3 (- t_0) t_1) 2.0)
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))))
(sqrt
(-
1.0
(+
(pow (- t_1 (* t_3 t_0)) 2.0)
(*
(cos phi2)
(* (cos phi1) (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((0.5 * phi1));
double t_1 = cos((phi2 * 0.5)) * sin((0.5 * phi1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = sin((phi2 * 0.5));
return R * (2.0 * atan2(sqrt((pow(fma(t_3, -t_0, t_1), 2.0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2)))), sqrt((1.0 - (pow((t_1 - (t_3 * t_0)), 2.0) + (cos(phi2) * (cos(phi1) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(0.5 * phi1)) t_1 = Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sin(Float64(phi2 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_3, Float64(-t_0), t_1) ^ 2.0) + Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)))), sqrt(Float64(1.0 - Float64((Float64(t_1 - Float64(t_3 * t_0)) ^ 2.0) + Float64(cos(phi2) * Float64(cos(phi1) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$3 * (-t$95$0) + t$95$1), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$1 - N[(t$95$3 * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(0.5 \cdot \phi_1\right)\\
t_1 := \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \sin \left(\phi_2 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_3, -t\_0, t\_1\right)\right)}^{2} + t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)}}{\sqrt{1 - \left({\left(t\_1 - t\_3 \cdot t\_0\right)}^{2} + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 63.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.3
Applied rewrites64.3%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites80.5%
Applied rewrites80.5%
Final simplification80.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(if (<= t_2 0.02)
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt (- 1.0 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_3)) (pow (sin t_0) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_0))))
(* (cos phi1) (* (cos phi2) (- t_3 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double tmp;
if (t_2 <= 0.02) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_3)), pow(sin(t_0), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_0)))) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) tmp = 0.0 if (t_2 <= 0.02) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_3)), (sin(t_0) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_0)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_3 - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 0.02], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
\mathbf{if}\;t\_2 \leq 0.02:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_3\right), {\sin t\_0}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_3 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0200000000000000004Initial program 72.7%
Taylor expanded in phi2 around 0
Applied rewrites72.1%
Taylor expanded in phi1 around 0
sub-negN/A
mul-1-negN/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
neg-mul-1N/A
distribute-lft-inN/A
neg-mul-1N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-pow.f64N/A
Applied rewrites72.1%
if 0.0200000000000000004 < (+.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 61.9%
Applied rewrites61.9%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
Applied rewrites61.9%
Final simplification63.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3
(+
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))))
(if (<= t_3 0.02)
(*
R
(*
2.0
(atan2
(sqrt t_3)
(sqrt (- 1.0 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))
(- 0.5 t_1)))
(sqrt
(- (+ 0.5 t_1) (* (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = (t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if (t_3 <= 0.02) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_0))))), (0.5 - t_1))), sqrt(((0.5 + t_1) - (cos(phi1) * (cos(phi2) * pow(sin(t_0), 2.0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) tmp = 0.0 if (t_3 <= 0.02) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))), Float64(0.5 - t_1))), sqrt(Float64(Float64(0.5 + t_1) - Float64(cos(phi1) * Float64(cos(phi2) * (sin(t_0) ^ 2.0))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, 0.02], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;t\_3 \leq 0.02:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right), 0.5 - t\_1\right)}}{\sqrt{\left(0.5 + t\_1\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin t\_0}^{2}\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0200000000000000004Initial program 72.7%
Taylor expanded in phi2 around 0
Applied rewrites72.1%
Taylor expanded in phi1 around 0
sub-negN/A
mul-1-negN/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
neg-mul-1N/A
distribute-lft-inN/A
neg-mul-1N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-pow.f64N/A
Applied rewrites72.1%
if 0.0200000000000000004 < (+.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 61.9%
Applied rewrites61.9%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
Applied rewrites61.9%
Final simplification63.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (fma -0.5 (cos (- lambda1 lambda2)) 0.5))
(t_2 (* (cos phi1) (cos phi2)))
(t_3 (+ (* t_0 (* t_2 t_0)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_4 (cos (- phi1 phi2))))
(if (<= t_3 0.02)
(*
R
(*
2.0
(atan2
(sqrt t_3)
(sqrt (- 1.0 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))))))
(*
(* R 2.0)
(atan2
(sqrt (fma t_2 t_1 (fma -0.5 t_4 0.5)))
(sqrt (fma (* (cos phi1) (- (cos phi2))) t_1 (fma 0.5 t_4 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = fma(-0.5, cos((lambda1 - lambda2)), 0.5);
double t_2 = cos(phi1) * cos(phi2);
double t_3 = (t_0 * (t_2 * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = cos((phi1 - phi2));
double tmp;
if (t_3 <= 0.02) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(t_2, t_1, fma(-0.5, t_4, 0.5))), sqrt(fma((cos(phi1) * -cos(phi2)), t_1, fma(0.5, t_4, 0.5))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = Float64(Float64(t_0 * Float64(t_2 * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_4 = cos(Float64(phi1 - phi2)) tmp = 0.0 if (t_3 <= 0.02) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_2, t_1, fma(-0.5, t_4, 0.5))), sqrt(fma(Float64(cos(phi1) * Float64(-cos(phi2))), t_1, fma(0.5, t_4, 0.5))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$0 * N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$3, 0.02], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 * t$95$1 + N[(-0.5 * t$95$4 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Cos[phi1], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision] * t$95$1 + N[(0.5 * t$95$4 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
t_3 := t\_0 \cdot \left(t\_2 \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;t\_3 \leq 0.02:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, t\_1, \mathsf{fma}\left(-0.5, t\_4, 0.5\right)\right)}}{\sqrt{\mathsf{fma}\left(\cos \phi_1 \cdot \left(-\cos \phi_2\right), t\_1, \mathsf{fma}\left(0.5, t\_4, 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0200000000000000004Initial program 72.7%
Taylor expanded in phi2 around 0
Applied rewrites72.1%
Taylor expanded in phi1 around 0
sub-negN/A
mul-1-negN/A
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
neg-mul-1N/A
distribute-lft-inN/A
neg-mul-1N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-pow.f64N/A
Applied rewrites72.1%
if 0.0200000000000000004 < (+.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 61.9%
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-*.f6463.2
Applied rewrites63.2%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites80.3%
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
Applied rewrites80.4%
Applied rewrites61.9%
Final simplification63.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi2 0.5))
(- (cos (* 0.5 phi1)))
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(/
(-
(+ 1.0 t_0)
(*
(fma -0.5 (cos (- lambda1 lambda2)) 0.5)
(+ t_0 (cos (+ phi2 phi1)))))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi2 * 0.5)), -cos((0.5 * phi1)), (cos((phi2 * 0.5)) * sin((0.5 * phi1)))), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((((1.0 + t_0) - (fma(-0.5, cos((lambda1 - lambda2)), 0.5) * (t_0 + cos((phi2 + phi1))))) / 2.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi2 * 0.5)), Float64(-cos(Float64(0.5 * phi1))), Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1)))) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(Float64(Float64(1.0 + t_0) - Float64(fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5) * Float64(t_0 + cos(Float64(phi2 + phi1))))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]) + N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$0), $MachinePrecision] - N[(N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * N[(t$95$0 + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_2 \cdot 0.5\right), -\cos \left(0.5 \cdot \phi_1\right), \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{\frac{\left(1 + t\_0\right) - \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right) \cdot \left(t\_0 + \cos \left(\phi_2 + \phi_1\right)\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 63.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.3
Applied rewrites64.3%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites80.5%
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
Applied rewrites80.5%
Applied rewrites64.4%
Final simplification64.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi2 0.5))
(- (cos (* 0.5 phi1)))
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
2.0)
(* t_1 (* t_0 t_1))))
(sqrt
(-
1.0
(fma
(fma -0.5 (cos (- lambda1 lambda2)) 0.5)
t_0
(fma -0.5 (cos (- phi1 phi2)) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi2 * 0.5)), -cos((0.5 * phi1)), (cos((phi2 * 0.5)) * sin((0.5 * phi1)))), 2.0) + (t_1 * (t_0 * t_1)))), sqrt((1.0 - fma(fma(-0.5, cos((lambda1 - lambda2)), 0.5), t_0, fma(-0.5, cos((phi1 - phi2)), 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi2 * 0.5)), Float64(-cos(Float64(0.5 * phi1))), Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1)))) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))), sqrt(Float64(1.0 - fma(fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5), t_0, fma(-0.5, cos(Float64(phi1 - phi2)), 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]) + N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] * t$95$0 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_2 \cdot 0.5\right), -\cos \left(0.5 \cdot \phi_1\right), \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right), t\_0, \mathsf{fma}\left(-0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 63.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.3
Applied rewrites64.3%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites80.5%
Applied rewrites63.8%
Final simplification63.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi2 0.5))
(- (cos (* 0.5 phi1)))
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
2.0)
(* t_1 (* t_0 t_1))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi2 * 0.5)), -cos((0.5 * phi1)), (cos((phi2 * 0.5)) * sin((0.5 * phi1)))), 2.0) + (t_1 * (t_0 * t_1)))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi2 * 0.5)), Float64(-cos(Float64(0.5 * phi1))), Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1)))) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * (-N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]) + N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_2 \cdot 0.5\right), -\cos \left(0.5 \cdot \phi_1\right), \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\right)\right)}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 63.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.3
Applied rewrites64.3%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
cancel-sign-sub-invN/A
cancel-sign-sub-invN/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied rewrites80.5%
Applied rewrites63.8%
Final simplification63.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(sqrt
(+
0.5
(*
(cos phi1)
(- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(if (<=
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
2e-12)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
lambda1
(* lambda1 (fma lambda1 (* lambda1 -0.020833333333333332) 0.25))))
t_0))
t_2))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
t_0))
t_2)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double tmp;
if (((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-12) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (lambda1 * (lambda1 * fma(lambda1, (lambda1 * -0.020833333333333332), 0.25)))), t_0)), t_2);
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), t_0)), t_2);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) tmp = 0.0 if (Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-12) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(lambda1 * Float64(lambda1 * fma(lambda1, Float64(lambda1 * -0.020833333333333332), 0.25)))), t_0)), t_2)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), t_0)), t_2)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-12], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(lambda1 * N[(lambda1 * N[(lambda1 * N[(lambda1 * -0.020833333333333332), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
\mathbf{if}\;t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-12}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\lambda_1 \cdot \left(\lambda_1 \cdot \mathsf{fma}\left(\lambda_1, \lambda_1 \cdot -0.020833333333333332, 0.25\right)\right)\right), t\_0\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), t\_0\right)}}{t\_2}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.99999999999999996e-12Initial program 76.1%
Applied rewrites5.1%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f645.1
Applied rewrites5.1%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f646.8
Applied rewrites6.8%
Taylor expanded in lambda1 around 0
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f6434.1
Applied rewrites34.1%
if 1.99999999999999996e-12 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.0%
Applied rewrites61.9%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6445.7
Applied rewrites45.7%
Final simplification44.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(sqrt
(+
0.5
(*
(cos phi1)
(- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(if (<=
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
2e-12)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
lambda1
(* lambda1 (fma lambda1 (* lambda1 -0.020833333333333332) 0.25))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
t_1))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos phi1)))))
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 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double tmp;
if (((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-12) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (lambda1 * (lambda1 * fma(lambda1, (lambda1 * -0.020833333333333332), 0.25)))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), t_1);
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos(phi1))))), t_1);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) tmp = 0.0 if (Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-12) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(lambda1 * Float64(lambda1 * fma(lambda1, Float64(lambda1 * -0.020833333333333332), 0.25)))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), t_1)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(phi1))))), t_1)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-12], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(lambda1 * N[(lambda1 * N[(lambda1 * N[(lambda1 * -0.020833333333333332), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
\mathbf{if}\;t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-12}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\lambda_1 \cdot \left(\lambda_1 \cdot \mathsf{fma}\left(\lambda_1, \lambda_1 \cdot -0.020833333333333332, 0.25\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \phi_1\right)}}{t\_1}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.99999999999999996e-12Initial program 76.1%
Applied rewrites5.1%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f645.1
Applied rewrites5.1%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f646.8
Applied rewrites6.8%
Taylor expanded in lambda1 around 0
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f6434.1
Applied rewrites34.1%
if 1.99999999999999996e-12 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.0%
Applied rewrites61.9%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6445.7
Applied rewrites45.7%
Taylor expanded in phi2 around 0
lower-cos.f6442.1
Applied rewrites42.1%
Final simplification41.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(sqrt
(+
0.5
(*
(cos phi1)
(- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(if (<=
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
2e-12)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
lambda1
(* lambda1 (fma lambda1 (* lambda1 -0.020833333333333332) 0.25))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
t_1))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos lambda1))))
(fma -0.5 (cos (- phi1 phi2)) 0.5)))
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 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double tmp;
if (((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-12) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (lambda1 * (lambda1 * fma(lambda1, (lambda1 * -0.020833333333333332), 0.25)))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), t_1);
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(lambda1)))), fma(-0.5, cos((phi1 - phi2)), 0.5))), t_1);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) tmp = 0.0 if (Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-12) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(lambda1 * Float64(lambda1 * fma(lambda1, Float64(lambda1 * -0.020833333333333332), 0.25)))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), t_1)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(lambda1)))), fma(-0.5, cos(Float64(phi1 - phi2)), 0.5))), t_1)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-12], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(lambda1 * N[(lambda1 * N[(lambda1 * N[(lambda1 * -0.020833333333333332), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
\mathbf{if}\;t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-12}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\lambda_1 \cdot \left(\lambda_1 \cdot \mathsf{fma}\left(\lambda_1, \lambda_1 \cdot -0.020833333333333332, 0.25\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \lambda_1\right), \mathsf{fma}\left(-0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\right)}}{t\_1}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.99999999999999996e-12Initial program 76.1%
Applied rewrites5.1%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f645.1
Applied rewrites5.1%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f646.8
Applied rewrites6.8%
Taylor expanded in lambda1 around 0
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f6434.1
Applied rewrites34.1%
if 1.99999999999999996e-12 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.0%
Applied rewrites61.9%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6445.7
Applied rewrites45.7%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f6436.2
Applied rewrites36.2%
Taylor expanded in phi1 around inf
*-commutativeN/A
sub-negN/A
neg-mul-1N/A
*-lft-identityN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
+-commutativeN/A
*-commutativeN/A
sub-negN/A
+-commutativeN/A
Applied rewrites36.2%
Final simplification36.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(/
(fma
(- (cos (+ t_0 (* 0.5 (- phi2 phi1)))) (cos (* 2.0 t_0)))
2.0
(*
2.0
(*
(+ (cos (- phi1 phi2)) (cos (+ phi2 phi1)))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))))
4.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (fma((cos((t_0 + (0.5 * (phi2 - phi1)))) - cos((2.0 * t_0))), 2.0, (2.0 * ((cos((phi1 - phi2)) + cos((phi2 + phi1))) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))) / 4.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(t_0 + Float64(0.5 * Float64(phi2 - phi1)))) - cos(Float64(2.0 * t_0))), 2.0, Float64(2.0 * Float64(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(phi2 + phi1))) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))) / 4.0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(t$95$0 + N[(0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 2.0 + N[(2.0 * N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 4.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \frac{\mathsf{fma}\left(\cos \left(t\_0 + 0.5 \cdot \left(\phi_2 - \phi_1\right)\right) - \cos \left(2 \cdot t\_0\right), 2, 2 \cdot \left(\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_2 + \phi_1\right)\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)\right)}{4}}}\right)
\end{array}
\end{array}
Initial program 63.1%
Applied rewrites63.7%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(/
(-
(+ 1.0 t_0)
(*
(+ t_0 (cos (+ phi2 phi1)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((((1.0 + t_0) - ((t_0 + cos((phi2 + phi1))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(Float64(1.0 + t_0) - Float64(Float64(t_0 + cos(Float64(phi2 + phi1))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$0), $MachinePrecision] - N[(N[(t$95$0 + N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\frac{\left(1 + t\_0\right) - \left(t\_0 + \cos \left(\phi_2 + \phi_1\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 63.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.3
Applied rewrites64.3%
Applied rewrites63.7%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(fma
(* (fma (cos (- lambda1 lambda2)) -0.5 0.5) (- (cos phi1)))
(cos phi2)
(fma 0.5 (cos (- phi1 phi2)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(fma((fma(cos((lambda1 - lambda2)), -0.5, 0.5) * -cos(phi1)), cos(phi2), fma(0.5, cos((phi1 - phi2)), 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(fma(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) * Float64(-cos(phi1))), cos(phi2), fma(0.5, cos(Float64(phi1 - phi2)), 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * (-N[Cos[phi1], $MachinePrecision])), $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) \cdot \left(-\cos \phi_1\right), \cos \phi_2, \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 63.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.3
Applied rewrites64.3%
Applied rewrites63.2%
Final simplification63.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2))) (t_1 (* 0.5 (- phi1 phi2))))
(*
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0)) (pow (sin t_1) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_1))))
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 t_0))) 0.5))))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = 0.5 * (phi1 - phi2);
return atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_0), 2.0)), pow(sin(t_1), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0);
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) return Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_0) ^ 2.0)), (sin(t_1) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_1)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * t_0))) - 0.5)))))) * Float64(R * 2.0)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_0}^{2}, {\sin t\_1}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_0\right) - 0.5\right)\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 63.1%
Applied rewrites57.2%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
Applied rewrites60.0%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-sin.f64N/A
lift-sin.f64N/A
pow2N/A
lower-pow.f6463.2
Applied rewrites63.2%
Final simplification63.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (* 0.5 (- lambda1 lambda2)))
(t_3
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))
(pow (sin t_1) 2.0)))
(sqrt (fma (cos phi2) (- 0.5 (fma -0.5 t_0 0.5)) 0.5))))))
(if (<= phi2 -3.7e-54)
t_3
(if (<= phi2 1.7e-14)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin t_2) 2.0))
(- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = 0.5 * (lambda1 - lambda2);
double t_3 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_2))))), pow(sin(t_1), 2.0))), sqrt(fma(cos(phi2), (0.5 - fma(-0.5, t_0, 0.5)), 0.5)));
double tmp;
if (phi2 <= -3.7e-54) {
tmp = t_3;
} else if (phi2 <= 1.7e-14) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_2), 2.0)), (0.5 - (0.5 * cos((2.0 * t_1)))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = Float64(0.5 * Float64(lambda1 - lambda2)) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2))))), (sin(t_1) ^ 2.0))), sqrt(fma(cos(phi2), Float64(0.5 - fma(-0.5, t_0, 0.5)), 0.5)))) tmp = 0.0 if (phi2 <= -3.7e-54) tmp = t_3; elseif (phi2 <= 1.7e-14) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_2) ^ 2.0)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3.7e-54], t$95$3, If[LessEqual[phi2, 1.7e-14], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right), {\sin t\_1}^{2}\right)}}{\sqrt{\mathsf{fma}\left(\cos \phi_2, 0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right), 0.5\right)}}\\
\mathbf{if}\;\phi_2 \leq -3.7 \cdot 10^{-54}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 1.7 \cdot 10^{-14}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_2}^{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -3.7000000000000003e-54 or 1.70000000000000001e-14 < phi2 Initial program 52.1%
Applied rewrites49.7%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
Applied rewrites51.9%
Taylor expanded in phi1 around 0
associate--l+N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-fma.f64N/A
Applied rewrites52.3%
if -3.7000000000000003e-54 < phi2 < 1.70000000000000001e-14Initial program 78.0%
Applied rewrites67.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6467.4
Applied rewrites67.4%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-sin.f64N/A
lift-sin.f64N/A
pow2N/A
lower-pow.f6474.5
Applied rewrites74.5%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (- 0.5 (fma -0.5 t_1 0.5)))
(t_3
(sqrt (fma (cos phi1) t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0)))))
(if (<= phi1 -0.0005)
(* (* R 2.0) (atan2 t_3 (sqrt (fma (cos phi1) t_2 0.5))))
(if (<= phi1 45000000000000.0)
(* (* R 2.0) (atan2 t_3 (sqrt (fma (cos phi2) t_2 0.5))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_0 (- 0.5 (* 0.5 (cos phi1)))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_1))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_1 = cos((lambda1 - lambda2));
double t_2 = 0.5 - fma(-0.5, t_1, 0.5);
double t_3 = sqrt(fma(cos(phi1), t_0, pow(sin((0.5 * (phi1 - phi2))), 2.0)));
double tmp;
if (phi1 <= -0.0005) {
tmp = (R * 2.0) * atan2(t_3, sqrt(fma(cos(phi1), t_2, 0.5)));
} else if (phi1 <= 45000000000000.0) {
tmp = (R * 2.0) * atan2(t_3, sqrt(fma(cos(phi2), t_2, 0.5)));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi1))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_1)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(0.5 - fma(-0.5, t_1, 0.5)) t_3 = sqrt(fma(cos(phi1), t_0, (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))) tmp = 0.0 if (phi1 <= -0.0005) tmp = Float64(Float64(R * 2.0) * atan(t_3, sqrt(fma(cos(phi1), t_2, 0.5)))); elseif (phi1 <= 45000000000000.0) tmp = Float64(Float64(R * 2.0) * atan(t_3, sqrt(fma(cos(phi2), t_2, 0.5)))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(phi1))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_1)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(-0.5 * t$95$1 + 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.0005], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$2 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 45000000000000.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$2 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - \mathsf{fma}\left(-0.5, t\_1, 0.5\right)\\
t_3 := \sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}\\
\mathbf{if}\;\phi_1 \leq -0.0005:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_2, 0.5\right)}}\\
\mathbf{elif}\;\phi_1 \leq 45000000000000:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_2, 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \phi_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_1\right)\right)}}\\
\end{array}
\end{array}
if phi1 < -5.0000000000000001e-4Initial program 46.5%
Applied rewrites46.4%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
Applied rewrites46.4%
Taylor expanded in phi2 around 0
associate--l+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-fma.f64N/A
Applied rewrites46.7%
if -5.0000000000000001e-4 < phi1 < 4.5e13Initial program 79.7%
Applied rewrites68.2%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
Applied rewrites73.6%
Taylor expanded in phi1 around 0
associate--l+N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-fma.f64N/A
Applied rewrites73.7%
if 4.5e13 < phi1 Initial program 44.7%
Applied rewrites44.7%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6446.4
Applied rewrites46.4%
Taylor expanded in phi2 around 0
lower-cos.f6446.8
Applied rewrites46.8%
Final simplification60.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_2 (cos (- lambda1 lambda2)))
(t_3
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(sqrt (+ 0.5 (* (cos phi2) (- 0.5 (+ 0.5 (* -0.5 t_2))))))))))
(if (<= phi2 -0.033)
t_3
(if (<= phi2 4.7e-8)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (pow (sin t_0) 2.0)))
(sqrt (fma (cos phi1) (- 0.5 (fma -0.5 t_2 0.5)) 0.5))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_2 = cos((lambda1 - lambda2));
double t_3 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos((2.0 * t_0)))))), sqrt((0.5 + (cos(phi2) * (0.5 - (0.5 + (-0.5 * t_2)))))));
double tmp;
if (phi2 <= -0.033) {
tmp = t_3;
} else if (phi2 <= 4.7e-8) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, pow(sin(t_0), 2.0))), sqrt(fma(cos(phi1), (0.5 - fma(-0.5, t_2, 0.5)), 0.5)));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_2)))))))) tmp = 0.0 if (phi2 <= -0.033) tmp = t_3; elseif (phi2 <= 4.7e-8) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, (sin(t_0) ^ 2.0))), sqrt(fma(cos(phi1), Float64(0.5 - fma(-0.5, t_2, 0.5)), 0.5)))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.033], t$95$3, If[LessEqual[phi2, 4.7e-8], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$2 + 0.5), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_2\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -0.033:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 4.7 \cdot 10^{-8}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, {\sin t\_0}^{2}\right)}}{\sqrt{\mathsf{fma}\left(\cos \phi_1, 0.5 - \mathsf{fma}\left(-0.5, t\_2, 0.5\right), 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -0.033000000000000002 or 4.6999999999999997e-8 < phi2 Initial program 50.9%
Applied rewrites50.9%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6452.0
Applied rewrites52.0%
if -0.033000000000000002 < phi2 < 4.6999999999999997e-8Initial program 75.7%
Applied rewrites63.6%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
Applied rewrites69.3%
Taylor expanded in phi2 around 0
associate--l+N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-fma.f64N/A
Applied rewrites69.3%
Final simplification60.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_1 (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(t_2 (sqrt (+ 0.5 (* (cos phi1) t_1))))
(t_3
(sqrt
(fma
(cos phi1)
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))))
(if (<= phi1 -0.00052)
(* (* R 2.0) (atan2 t_3 t_2))
(if (<= phi1 45000000000000.0)
(* (* R 2.0) (atan2 t_3 (sqrt (+ 0.5 (* (cos phi2) t_1)))))
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_0 (- 0.5 (* 0.5 (cos phi1))))) t_2))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_1 = 0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))));
double t_2 = sqrt((0.5 + (cos(phi1) * t_1)));
double t_3 = sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double tmp;
if (phi1 <= -0.00052) {
tmp = (R * 2.0) * atan2(t_3, t_2);
} else if (phi1 <= 45000000000000.0) {
tmp = (R * 2.0) * atan2(t_3, sqrt((0.5 + (cos(phi2) * t_1))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi1))))), t_2);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_1 = Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) t_2 = sqrt(Float64(0.5 + Float64(cos(phi1) * t_1))) t_3 = sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) tmp = 0.0 if (phi1 <= -0.00052) tmp = Float64(Float64(R * 2.0) * atan(t_3, t_2)); elseif (phi1 <= 45000000000000.0) tmp = Float64(Float64(R * 2.0) * atan(t_3, sqrt(Float64(0.5 + Float64(cos(phi2) * t_1))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(phi1))))), t_2)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.00052], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / t$95$2], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 45000000000000.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_1 := 0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := \sqrt{0.5 + \cos \phi_1 \cdot t\_1}\\
t_3 := \sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
\mathbf{if}\;\phi_1 \leq -0.00052:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{t\_2}\\
\mathbf{elif}\;\phi_1 \leq 45000000000000:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{0.5 + \cos \phi_2 \cdot t\_1}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \phi_1\right)}}{t\_2}\\
\end{array}
\end{array}
if phi1 < -5.19999999999999954e-4Initial program 46.5%
Applied rewrites46.4%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6446.7
Applied rewrites46.7%
if -5.19999999999999954e-4 < phi1 < 4.5e13Initial program 79.7%
Applied rewrites68.2%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6468.4
Applied rewrites68.4%
if 4.5e13 < phi1 Initial program 44.7%
Applied rewrites44.7%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6446.4
Applied rewrites46.4%
Taylor expanded in phi2 around 0
lower-cos.f6446.8
Applied rewrites46.8%
Final simplification57.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos lambda1)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_0)) t_1))
(sqrt (+ 0.5 (* (cos phi1) t_0)))))))
(if (<= lambda1 -9.8e-8)
t_2
(if (<= lambda1 1.35e-6)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 (cos lambda2)))) t_1))
(sqrt
(+
0.5
(*
(cos phi1)
(- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos(lambda1);
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), t_1)), sqrt((0.5 + (cos(phi1) * t_0))));
double tmp;
if (lambda1 <= -9.8e-8) {
tmp = t_2;
} else if (lambda1 <= 1.35e-6) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(lambda2)))), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(lambda1)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_0)), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * t_0))))) tmp = 0.0 if (lambda1 <= -9.8e-8) tmp = t_2; elseif (lambda1 <= 1.35e-6) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(lambda2)))), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -9.8e-8], t$95$2, If[LessEqual[lambda1, 1.35e-6], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \lambda_1\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_0\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot t\_0}}\\
\mathbf{if}\;\lambda_1 \leq -9.8 \cdot 10^{-8}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \lambda_2\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -9.8000000000000004e-8 or 1.34999999999999999e-6 < lambda1 Initial program 49.6%
Applied rewrites49.6%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6441.6
Applied rewrites41.6%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f6441.6
Applied rewrites41.6%
Taylor expanded in lambda2 around 0
lower-*.f64N/A
lower-cos.f6441.7
Applied rewrites41.7%
if -9.8000000000000004e-8 < lambda1 < 1.34999999999999999e-6Initial program 76.9%
Applied rewrites65.0%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6443.3
Applied rewrites43.3%
Taylor expanded in lambda1 around 0
cos-negN/A
lower-cos.f6443.3
Applied rewrites43.3%
Final simplification42.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))
(t_1
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos lambda1))))
(fma -0.5 (cos phi1) 0.5)))
t_0))))
(if (<= lambda1 -1100.0)
t_1
(if (<= lambda1 1.22e-8)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (* 0.25 (* lambda1 lambda1)))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
t_0))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double t_1 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(lambda1)))), fma(-0.5, cos(phi1), 0.5))), t_0);
double tmp;
if (lambda1 <= -1100.0) {
tmp = t_1;
} else if (lambda1 <= 1.22e-8) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.25 * (lambda1 * lambda1))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), t_0);
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(lambda1)))), fma(-0.5, cos(phi1), 0.5))), t_0)) tmp = 0.0 if (lambda1 <= -1100.0) tmp = t_1; elseif (lambda1 <= 1.22e-8) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.25 * Float64(lambda1 * lambda1))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), t_0)); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1100.0], t$95$1, If[LessEqual[lambda1, 1.22e-8], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \lambda_1\right), \mathsf{fma}\left(-0.5, \cos \phi_1, 0.5\right)\right)}}{t\_0}\\
\mathbf{if}\;\lambda_1 \leq -1100:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 \leq 1.22 \cdot 10^{-8}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda1 < -1100 or 1.22e-8 < lambda1 Initial program 50.3%
Applied rewrites50.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6442.4
Applied rewrites42.4%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f6442.4
Applied rewrites42.4%
Taylor expanded in phi2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6440.3
Applied rewrites40.3%
if -1100 < lambda1 < 1.22e-8Initial program 75.9%
Applied rewrites64.1%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6442.4
Applied rewrites42.4%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f6425.2
Applied rewrites25.2%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6429.6
Applied rewrites29.6%
Final simplification35.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (* 0.25 (* lambda1 lambda1)))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.25 * (lambda1 * lambda1))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.25 * Float64(lambda1 * lambda1))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}
\end{array}
Initial program 63.1%
Applied rewrites57.2%
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
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6442.4
Applied rewrites42.4%
Taylor expanded in lambda2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f6433.8
Applied rewrites33.8%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6421.4
Applied rewrites21.4%
Final simplification21.4%
herbie shell --seed 2024216
(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))))))))))