
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 25 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5))) (t_1 (cos (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(*
(cos phi2)
(pow
(fma
(sin (* 0.5 lambda1))
(cos (* lambda2 -0.5))
(* (cos (* 0.5 lambda1)) (sin (* lambda2 -0.5))))
2.0))
(cos phi1)
(pow (- (* (cos (* 0.5 phi2)) t_0) (* (sin (* 0.5 phi2)) t_1)) 2.0)))
(sqrt
(-
1.0
(fma
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(cos phi1)
(pow
(fma t_0 (cos (* phi2 -0.5)) (* t_1 (sin (* phi2 -0.5))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos((phi1 * 0.5));
return R * (2.0 * atan2(sqrt(fma((cos(phi2) * pow(fma(sin((0.5 * lambda1)), cos((lambda2 * -0.5)), (cos((0.5 * lambda1)) * sin((lambda2 * -0.5)))), 2.0)), cos(phi1), pow(((cos((0.5 * phi2)) * t_0) - (sin((0.5 * phi2)) * t_1)), 2.0))), sqrt((1.0 - fma((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), cos(phi1), pow(fma(t_0, cos((phi2 * -0.5)), (t_1 * sin((phi2 * -0.5)))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = cos(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(cos(phi2) * (fma(sin(Float64(0.5 * lambda1)), cos(Float64(lambda2 * -0.5)), Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(lambda2 * -0.5)))) ^ 2.0)), cos(phi1), (Float64(Float64(cos(Float64(0.5 * phi2)) * t_0) - Float64(sin(Float64(0.5 * phi2)) * t_1)) ^ 2.0))), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), cos(phi1), (fma(t_0, cos(Float64(phi2 * -0.5)), Float64(t_1 * sin(Float64(phi2 * -0.5)))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$1 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot {\left(\mathsf{fma}\left(\sin \left(0.5 \cdot \lambda_1\right), \cos \left(\lambda_2 \cdot -0.5\right), \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)\right)}^{2}, \cos \phi_1, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot t\_0 - \sin \left(0.5 \cdot \phi_2\right) \cdot t\_1\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), t\_1 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6463.5
Applied rewrites63.5%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.6%
Taylor expanded in phi1 around 0
Applied rewrites79.6%
Applied rewrites80.1%
Final simplification80.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5))) (t_1 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(cos phi1)
(pow (- (* (cos (* 0.5 phi2)) t_1) (* (sin (* 0.5 phi2)) t_0)) 2.0)))
(sqrt
(-
1.0
(fma
(*
(cos phi2)
(pow
(fma
(sin (* 0.5 lambda1))
(cos (* lambda2 -0.5))
(* (cos (* 0.5 lambda1)) (sin (* lambda2 -0.5))))
2.0))
(cos phi1)
(pow
(fma t_1 (cos (* phi2 -0.5)) (* t_0 (sin (* phi2 -0.5))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt(fma((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), cos(phi1), pow(((cos((0.5 * phi2)) * t_1) - (sin((0.5 * phi2)) * t_0)), 2.0))), sqrt((1.0 - fma((cos(phi2) * pow(fma(sin((0.5 * lambda1)), cos((lambda2 * -0.5)), (cos((0.5 * lambda1)) * sin((lambda2 * -0.5)))), 2.0)), cos(phi1), pow(fma(t_1, cos((phi2 * -0.5)), (t_0 * sin((phi2 * -0.5)))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) t_1 = sin(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), cos(phi1), (Float64(Float64(cos(Float64(0.5 * phi2)) * t_1) - Float64(sin(Float64(0.5 * phi2)) * t_0)) ^ 2.0))), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * (fma(sin(Float64(0.5 * lambda1)), cos(Float64(lambda2 * -0.5)), Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(lambda2 * -0.5)))) ^ 2.0)), cos(phi1), (fma(t_1, cos(Float64(phi2 * -0.5)), Float64(t_0 * sin(Float64(phi2 * -0.5)))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$1 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$0 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot t\_1 - \sin \left(0.5 \cdot \phi_2\right) \cdot t\_0\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot {\left(\mathsf{fma}\left(\sin \left(0.5 \cdot \lambda_1\right), \cos \left(\lambda_2 \cdot -0.5\right), \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)\right)}^{2}, \cos \phi_1, {\left(\mathsf{fma}\left(t\_1, \cos \left(\phi_2 \cdot -0.5\right), t\_0 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6463.5
Applied rewrites63.5%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.6%
Taylor expanded in phi1 around 0
Applied rewrites79.6%
Applied rewrites80.1%
Final simplification80.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (cos (* phi1 0.5)))
(t_2
(pow (fma t_0 (cos (* phi2 -0.5)) (* t_1 (sin (* phi2 -0.5)))) 2.0))
(t_3
(sqrt
(fma
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(cos phi1)
(pow
(- (* (cos (* 0.5 phi2)) t_0) (* (sin (* 0.5 phi2)) t_1))
2.0))))
(t_4
(*
R
(*
2.0
(atan2
t_3
(sqrt
(-
1.0
(fma
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
(cos phi1)
t_2))))))))
(if (<= lambda1 -2.55e-5)
t_4
(if (<= lambda1 6e-6)
(*
R
(*
2.0
(atan2
t_3
(sqrt
(-
1.0
(fma
(* (cos phi2) (pow (sin (* lambda2 -0.5)) 2.0))
(cos phi1)
t_2))))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos((phi1 * 0.5));
double t_2 = pow(fma(t_0, cos((phi2 * -0.5)), (t_1 * sin((phi2 * -0.5)))), 2.0);
double t_3 = sqrt(fma((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), cos(phi1), pow(((cos((0.5 * phi2)) * t_0) - (sin((0.5 * phi2)) * t_1)), 2.0)));
double t_4 = R * (2.0 * atan2(t_3, sqrt((1.0 - fma((cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), cos(phi1), t_2)))));
double tmp;
if (lambda1 <= -2.55e-5) {
tmp = t_4;
} else if (lambda1 <= 6e-6) {
tmp = R * (2.0 * atan2(t_3, sqrt((1.0 - fma((cos(phi2) * pow(sin((lambda2 * -0.5)), 2.0)), cos(phi1), t_2)))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = cos(Float64(phi1 * 0.5)) t_2 = fma(t_0, cos(Float64(phi2 * -0.5)), Float64(t_1 * sin(Float64(phi2 * -0.5)))) ^ 2.0 t_3 = sqrt(fma(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), cos(phi1), (Float64(Float64(cos(Float64(0.5 * phi2)) * t_0) - Float64(sin(Float64(0.5 * phi2)) * t_1)) ^ 2.0))) t_4 = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - fma(Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), cos(phi1), t_2)))))) tmp = 0.0 if (lambda1 <= -2.55e-5) tmp = t_4; elseif (lambda1 <= 6e-6) tmp = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - fma(Float64(cos(phi2) * (sin(Float64(lambda2 * -0.5)) ^ 2.0)), cos(phi1), t_2)))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$1 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -2.55e-5], t$95$4, If[LessEqual[lambda1, 6e-6], N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_2 := {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), t\_1 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\\
t_3 := \sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot t\_0 - \sin \left(0.5 \cdot \phi_2\right) \cdot t\_1\right)}^{2}\right)}\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, \cos \phi_1, t\_2\right)}}\right)\\
\mathbf{if}\;\lambda_1 \leq -2.55 \cdot 10^{-5}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 \leq 6 \cdot 10^{-6}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}, \cos \phi_1, t\_2\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if lambda1 < -2.54999999999999998e-5 or 6.0000000000000002e-6 < lambda1 Initial program 48.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6450.3
Applied rewrites50.3%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites62.0%
Taylor expanded in phi1 around 0
Applied rewrites62.0%
Taylor expanded in lambda2 around 0
Applied rewrites62.0%
if -2.54999999999999998e-5 < lambda1 < 6.0000000000000002e-6Initial program 75.7%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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-*.f6476.4
Applied rewrites76.4%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites97.0%
Taylor expanded in phi1 around 0
Applied rewrites97.0%
Taylor expanded in lambda1 around 0
Applied rewrites96.8%
Final simplification79.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (cos (* phi1 0.5)))
(t_2 (cos (- phi1 phi2)))
(t_3 (cos (- lambda1 lambda2)))
(t_4
(pow (- (* (cos (* 0.5 phi2)) t_0) (* (sin (* 0.5 phi2)) t_1)) 2.0))
(t_5
(sqrt
(fma
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(cos phi1)
t_4)))
(t_6 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= lambda1 -1.1e-5)
(*
R
(*
2.0
(atan2
t_5
(sqrt
(+
(+ 0.5 (* 0.5 t_2))
(* (cos phi2) (* (cos phi1) (- (* 0.5 t_3) 0.5))))))))
(if (<= lambda1 2e-55)
(*
R
(*
2.0
(atan2
t_5
(sqrt
(-
1.0
(fma
(* (cos phi2) (pow (sin (* lambda2 -0.5)) 2.0))
(cos phi1)
(pow
(fma t_0 (cos (* phi2 -0.5)) (* t_1 (sin (* phi2 -0.5))))
2.0)))))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 (* t_6 (* (* (cos phi2) (cos phi1)) t_6))))
(sqrt
(/
(- (+ 1.0 t_2) (* (+ t_2 (cos (+ phi1 phi2))) (fma t_3 -0.5 0.5)))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos((phi1 * 0.5));
double t_2 = cos((phi1 - phi2));
double t_3 = cos((lambda1 - lambda2));
double t_4 = pow(((cos((0.5 * phi2)) * t_0) - (sin((0.5 * phi2)) * t_1)), 2.0);
double t_5 = sqrt(fma((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), cos(phi1), t_4));
double t_6 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (lambda1 <= -1.1e-5) {
tmp = R * (2.0 * atan2(t_5, sqrt(((0.5 + (0.5 * t_2)) + (cos(phi2) * (cos(phi1) * ((0.5 * t_3) - 0.5)))))));
} else if (lambda1 <= 2e-55) {
tmp = R * (2.0 * atan2(t_5, sqrt((1.0 - fma((cos(phi2) * pow(sin((lambda2 * -0.5)), 2.0)), cos(phi1), pow(fma(t_0, cos((phi2 * -0.5)), (t_1 * sin((phi2 * -0.5)))), 2.0))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_4 + (t_6 * ((cos(phi2) * cos(phi1)) * t_6)))), sqrt((((1.0 + t_2) - ((t_2 + cos((phi1 + phi2))) * fma(t_3, -0.5, 0.5))) / 2.0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = cos(Float64(phi1 * 0.5)) t_2 = cos(Float64(phi1 - phi2)) t_3 = cos(Float64(lambda1 - lambda2)) t_4 = Float64(Float64(cos(Float64(0.5 * phi2)) * t_0) - Float64(sin(Float64(0.5 * phi2)) * t_1)) ^ 2.0 t_5 = sqrt(fma(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), cos(phi1), t_4)) t_6 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (lambda1 <= -1.1e-5) tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(Float64(0.5 + Float64(0.5 * t_2)) + Float64(cos(phi2) * Float64(cos(phi1) * Float64(Float64(0.5 * t_3) - 0.5)))))))); elseif (lambda1 <= 2e-55) tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(1.0 - fma(Float64(cos(phi2) * (sin(Float64(lambda2 * -0.5)) ^ 2.0)), cos(phi1), (fma(t_0, cos(Float64(phi2 * -0.5)), Float64(t_1 * sin(Float64(phi2 * -0.5)))) ^ 2.0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + Float64(t_6 * Float64(Float64(cos(phi2) * cos(phi1)) * t_6)))), sqrt(Float64(Float64(Float64(1.0 + t_2) - Float64(Float64(t_2 + cos(Float64(phi1 + phi2))) * fma(t_3, -0.5, 0.5))) / 2.0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -1.1e-5], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(N[(0.5 + N[(0.5 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 * t$95$3), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 2e-55], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$1 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[(t$95$6 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$2), $MachinePrecision] - N[(N[(t$95$2 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$3 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_2 := \cos \left(\phi_1 - \phi_2\right)\\
t_3 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_4 := {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot t\_0 - \sin \left(0.5 \cdot \phi_2\right) \cdot t\_1\right)}^{2}\\
t_5 := \sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, t\_4\right)}\\
t_6 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\lambda_1 \leq -1.1 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{\left(0.5 + 0.5 \cdot t\_2\right) + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(0.5 \cdot t\_3 - 0.5\right)\right)}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 2 \cdot 10^{-55}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}, \cos \phi_1, {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), t\_1 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + t\_6 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_6\right)}}{\sqrt{\frac{\left(1 + t\_2\right) - \left(t\_2 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(t\_3, -0.5, 0.5\right)}{2}}}\right)\\
\end{array}
\end{array}
if lambda1 < -1.1e-5Initial program 50.2%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6452.0
Applied rewrites52.0%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites66.1%
Taylor expanded in phi1 around 0
Applied rewrites66.1%
Applied rewrites52.2%
if -1.1e-5 < lambda1 < 1.99999999999999999e-55Initial program 74.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6475.3
Applied rewrites75.3%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites97.1%
Taylor expanded in phi1 around 0
Applied rewrites97.1%
Taylor expanded in lambda1 around 0
Applied rewrites97.1%
if 1.99999999999999999e-55 < lambda1 Initial program 52.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
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%
Applied rewrites53.7%
Final simplification74.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5)))
(t_1 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_2 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(fma
t_1
(cos phi1)
(pow (- (* (cos (* 0.5 phi2)) t_2) (* (sin (* 0.5 phi2)) t_0)) 2.0)))
(sqrt
(-
1.0
(fma
t_1
(cos phi1)
(pow
(fma t_2 (cos (* phi2 -0.5)) (* t_0 (sin (* phi2 -0.5))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt(fma(t_1, cos(phi1), pow(((cos((0.5 * phi2)) * t_2) - (sin((0.5 * phi2)) * t_0)), 2.0))), sqrt((1.0 - fma(t_1, cos(phi1), pow(fma(t_2, cos((phi2 * -0.5)), (t_0 * sin((phi2 * -0.5)))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) t_1 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_2 = sin(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, cos(phi1), (Float64(Float64(cos(Float64(0.5 * phi2)) * t_2) - Float64(sin(Float64(0.5 * phi2)) * t_0)) ^ 2.0))), sqrt(Float64(1.0 - fma(t_1, cos(phi1), (fma(t_2, cos(Float64(phi2 * -0.5)), Float64(t_0 * sin(Float64(phi2 * -0.5)))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$2 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$0 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \sin \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, \cos \phi_1, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot t\_2 - \sin \left(0.5 \cdot \phi_2\right) \cdot t\_0\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_1, \cos \phi_1, {\left(\mathsf{fma}\left(t\_2, \cos \left(\phi_2 \cdot -0.5\right), t\_0 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6463.5
Applied rewrites63.5%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.6%
Taylor expanded in phi1 around 0
Applied rewrites79.6%
Final simplification79.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (sin (* phi2 -0.5)))
(t_2 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_3 (cos (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(fma t_2 (cos phi1) (pow (fma t_1 t_3 (* (cos (* 0.5 phi2)) t_0)) 2.0)))
(sqrt
(-
1.0
(fma
t_2
(cos phi1)
(pow (fma t_0 (cos (* phi2 -0.5)) (* t_3 t_1)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = sin((phi2 * -0.5));
double t_2 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_3 = cos((phi1 * 0.5));
return R * (2.0 * atan2(sqrt(fma(t_2, cos(phi1), pow(fma(t_1, t_3, (cos((0.5 * phi2)) * t_0)), 2.0))), sqrt((1.0 - fma(t_2, cos(phi1), pow(fma(t_0, cos((phi2 * -0.5)), (t_3 * t_1)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = sin(Float64(phi2 * -0.5)) t_2 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_3 = cos(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(fma(t_2, cos(phi1), (fma(t_1, t_3, Float64(cos(Float64(0.5 * phi2)) * t_0)) ^ 2.0))), sqrt(Float64(1.0 - fma(t_2, cos(phi1), (fma(t_0, cos(Float64(phi2 * -0.5)), Float64(t_3 * t_1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$1 * t$95$3 + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$3 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\phi_2 \cdot -0.5\right)\\
t_2 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, \cos \phi_1, {\left(\mathsf{fma}\left(t\_1, t\_3, \cos \left(0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_2, \cos \phi_1, {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), t\_3 \cdot t\_1\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6463.5
Applied rewrites63.5%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.6%
Taylor expanded in phi1 around 0
Applied rewrites79.6%
Applied rewrites79.6%
Final simplification79.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (* 0.5 (cos (* 2.0 t_0))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_4 (+ 0.5 t_3))
(t_5 (* (cos phi2) (cos phi1)))
(t_6 (pow (sin t_0) 2.0)))
(if (<=
(+ (* t_2 (* t_5 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.0048)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi2) t_6 (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt (+ t_4 (* t_5 (- t_1 0.5))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_1)) (- 0.5 t_3)))
(sqrt (- t_4 (* (cos phi1) (* (cos phi2) t_6)))))))))
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 * t_0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_4 = 0.5 + t_3;
double t_5 = cos(phi2) * cos(phi1);
double t_6 = pow(sin(t_0), 2.0);
double tmp;
if (((t_2 * (t_5 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.0048) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi2), t_6, pow(sin((phi2 * -0.5)), 2.0))), sqrt((t_4 + (t_5 * (t_1 - 0.5)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_1)), (0.5 - t_3))), sqrt((t_4 - (cos(phi1) * (cos(phi2) * t_6)))));
}
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 * t_0))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_4 = Float64(0.5 + t_3) t_5 = Float64(cos(phi2) * cos(phi1)) t_6 = sin(t_0) ^ 2.0 tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_5 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.0048) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi2), t_6, (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64(t_4 + Float64(t_5 * Float64(t_1 - 0.5)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_1)), Float64(0.5 - t_3))), sqrt(Float64(t_4 - Float64(cos(phi1) * Float64(cos(phi2) * t_6)))))); 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 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$5 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.0048], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * t$95$6 + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 + N[(t$95$5 * N[(t$95$1 - 0.5), $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$1), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$6), $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 t\_0\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_4 := 0.5 + t\_3\\
t_5 := \cos \phi_2 \cdot \cos \phi_1\\
t_6 := {\sin t\_0}^{2}\\
\mathbf{if}\;t\_2 \cdot \left(t\_5 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.0048:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, t\_6, {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\right)}}{\sqrt{t\_4 + t\_5 \cdot \left(t\_1 - 0.5\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\_1\right), 0.5 - t\_3\right)}}{\sqrt{t\_4 - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_6\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))))) < 0.00479999999999999958Initial program 61.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites47.1%
Taylor expanded in phi2 around 0
Applied rewrites23.8%
Applied rewrites17.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6449.4
Applied rewrites49.4%
if 0.00479999999999999958 < (+.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 62.5%
Applied rewrites62.6%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
pow2N/A
lower-pow.f6462.6
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6462.6
Applied rewrites62.6%
Final simplification61.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (* 0.5 (cos (* 2.0 t_0))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_4 (+ 0.5 t_3))
(t_5 (* (cos phi2) (cos phi1)))
(t_6 (- t_1 0.5)))
(if (<=
(+ (* t_2 (* t_5 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.0024)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi2) (pow (sin t_0) 2.0) (pow (sin (* phi2 -0.5)) 2.0)))
(sqrt (+ t_4 (* t_5 t_6)))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_1)) (- 0.5 t_3)))
(sqrt (+ t_4 (* (cos phi1) (* (cos phi2) t_6)))))))))
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 * t_0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_4 = 0.5 + t_3;
double t_5 = cos(phi2) * cos(phi1);
double t_6 = t_1 - 0.5;
double tmp;
if (((t_2 * (t_5 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.0024) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi2), pow(sin(t_0), 2.0), pow(sin((phi2 * -0.5)), 2.0))), sqrt((t_4 + (t_5 * t_6))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_1)), (0.5 - t_3))), sqrt((t_4 + (cos(phi1) * (cos(phi2) * t_6)))));
}
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 * t_0))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_4 = Float64(0.5 + t_3) t_5 = Float64(cos(phi2) * cos(phi1)) t_6 = Float64(t_1 - 0.5) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_5 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.0024) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi2), (sin(t_0) ^ 2.0), (sin(Float64(phi2 * -0.5)) ^ 2.0))), sqrt(Float64(t_4 + Float64(t_5 * t_6))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_1)), Float64(0.5 - t_3))), sqrt(Float64(t_4 + Float64(cos(phi1) * Float64(cos(phi2) * t_6)))))); 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 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$1 - 0.5), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$5 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.0024], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 + N[(t$95$5 * t$95$6), $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$1), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$6), $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 t\_0\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_4 := 0.5 + t\_3\\
t_5 := \cos \phi_2 \cdot \cos \phi_1\\
t_6 := t\_1 - 0.5\\
\mathbf{if}\;t\_2 \cdot \left(t\_5 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.0024:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, {\sin t\_0}^{2}, {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\right)}}{\sqrt{t\_4 + t\_5 \cdot t\_6}}\\
\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\_1\right), 0.5 - t\_3\right)}}{\sqrt{t\_4 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_6\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))))) < 0.00239999999999999979Initial program 64.5%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites49.5%
Taylor expanded in phi2 around 0
Applied rewrites24.5%
Applied rewrites17.3%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6451.9
Applied rewrites51.9%
if 0.00239999999999999979 < (+.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 62.1%
Applied rewrites62.2%
Final simplification61.1%
(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 (* (cos phi2) (cos phi1)))
(t_3 (* 0.5 (cos (* 2.0 t_0))))
(t_4 (- t_3 0.5))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (+ 0.5 t_1)))
(if (<= (+ (* t_5 (* t_2 t_5)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 5e-10)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (pow (sin t_0) 2.0) (pow (sin (* phi1 0.5)) 2.0)))
(sqrt (+ t_6 (* t_2 t_4)))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_3)) (- 0.5 t_1)))
(sqrt (+ t_6 (* (cos phi1) (* (cos phi2) t_4)))))))))
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 = cos(phi2) * cos(phi1);
double t_3 = 0.5 * cos((2.0 * t_0));
double t_4 = t_3 - 0.5;
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = 0.5 + t_1;
double tmp;
if (((t_5 * (t_2 * t_5)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 5e-10) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), pow(sin(t_0), 2.0), pow(sin((phi1 * 0.5)), 2.0))), sqrt((t_6 + (t_2 * t_4))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_3)), (0.5 - t_1))), sqrt((t_6 + (cos(phi1) * (cos(phi2) * t_4)))));
}
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 = Float64(cos(phi2) * cos(phi1)) t_3 = Float64(0.5 * cos(Float64(2.0 * t_0))) t_4 = Float64(t_3 - 0.5) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(0.5 + t_1) tmp = 0.0 if (Float64(Float64(t_5 * Float64(t_2 * t_5)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 5e-10) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), (sin(t_0) ^ 2.0), (sin(Float64(phi1 * 0.5)) ^ 2.0))), sqrt(Float64(t_6 + Float64(t_2 * t_4))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_3)), Float64(0.5 - t_1))), sqrt(Float64(t_6 + Float64(cos(phi1) * Float64(cos(phi2) * t_4)))))); 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[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - 0.5), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(0.5 + t$95$1), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$5 * N[(t$95$2 * t$95$5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 5e-10], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$6 + N[(t$95$2 * t$95$4), $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[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$6 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$4), $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 := \cos \phi_2 \cdot \cos \phi_1\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_4 := t\_3 - 0.5\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := 0.5 + t\_1\\
\mathbf{if}\;t\_5 \cdot \left(t\_2 \cdot t\_5\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 5 \cdot 10^{-10}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\sin t\_0}^{2}, {\sin \left(\phi_1 \cdot 0.5\right)}^{2}\right)}}{\sqrt{t\_6 + t\_2 \cdot t\_4}}\\
\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), 0.5 - t\_1\right)}}{\sqrt{t\_6 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_4\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))))) < 5.00000000000000031e-10Initial program 60.1%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites43.2%
Taylor expanded in phi2 around 0
Applied rewrites23.0%
Applied rewrites15.4%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f6443.8
Applied rewrites43.8%
if 5.00000000000000031e-10 < (+.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 62.6%
Applied rewrites62.4%
Final simplification60.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* 0.5 (- lambda1 lambda2)))
(t_3 (* 0.5 (cos (* 2.0 t_2))))
(t_4 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(if (<=
(+
(* t_1 (* (* (cos phi2) (cos phi1)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.001)
(*
R
(*
2.0
(atan2
(sqrt (fma phi2 (fma phi2 (fma -0.5 t_0 0.25) (* phi1 -0.5)) t_0))
(sqrt
(-
1.0
(fma
(cos phi2)
(pow (sin t_2) 2.0)
(pow (sin (* phi2 -0.5)) 2.0)))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_3)) (- 0.5 t_4)))
(sqrt (+ (+ 0.5 t_4) (* (cos phi1) (* (cos phi2) (- t_3 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = 0.5 * (lambda1 - lambda2);
double t_3 = 0.5 * cos((2.0 * t_2));
double t_4 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double tmp;
if (((t_1 * ((cos(phi2) * cos(phi1)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.001) {
tmp = R * (2.0 * atan2(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_0, 0.25), (phi1 * -0.5)), t_0)), sqrt((1.0 - fma(cos(phi2), pow(sin(t_2), 2.0), pow(sin((phi2 * -0.5)), 2.0))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_3)), (0.5 - t_4))), sqrt(((0.5 + t_4) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(0.5 * Float64(lambda1 - lambda2)) t_3 = Float64(0.5 * cos(Float64(2.0 * t_2))) t_4 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) tmp = 0.0 if (Float64(Float64(t_1 * Float64(Float64(cos(phi2) * cos(phi1)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.001) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_0, 0.25), Float64(phi1 * -0.5)), t_0)), sqrt(Float64(1.0 - fma(cos(phi2), (sin(t_2) ^ 2.0), (sin(Float64(phi2 * -0.5)) ^ 2.0))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_3)), Float64(0.5 - t_4))), sqrt(Float64(Float64(0.5 + t_4) + 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[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.001], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(phi2 * N[(phi2 * N[(-0.5 * t$95$0 + 0.25), $MachinePrecision] + N[(phi1 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $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[(0.5 - t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$4), $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 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
t_4 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
\mathbf{if}\;t\_1 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.001:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.5, t\_0, 0.25\right), \phi_1 \cdot -0.5\right), t\_0\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, {\sin t\_2}^{2}, {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\right)}}\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), 0.5 - t\_4\right)}}{\sqrt{\left(0.5 + t\_4\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))))) < 1e-3Initial program 63.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites47.6%
Taylor expanded in phi2 around 0
Applied rewrites45.0%
Taylor expanded in phi1 around 0
sub-negN/A
mul-1-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f6445.0
Applied rewrites45.0%
if 1e-3 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.3%
Applied rewrites62.3%
Final simplification60.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_3 (+ 0.5 t_2))
(t_4 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_6 (- t_5 0.5)))
(if (<= (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 0.001)
(*
(* R 2.0)
(atan2
(sqrt (fma phi2 (fma phi2 (fma -0.5 t_4 0.25) (* phi1 -0.5)) t_4))
(sqrt (+ t_3 (* t_0 t_6)))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_5)) (- 0.5 t_2)))
(sqrt (+ t_3 (* (cos phi1) (* (cos phi2) t_6)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_3 = 0.5 + t_2;
double t_4 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_5 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_6 = t_5 - 0.5;
double tmp;
if (((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.001) {
tmp = (R * 2.0) * atan2(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_4, 0.25), (phi1 * -0.5)), t_4)), sqrt((t_3 + (t_0 * t_6))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_5)), (0.5 - t_2))), sqrt((t_3 + (cos(phi1) * (cos(phi2) * t_6)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_3 = Float64(0.5 + t_2) t_4 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_5 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_6 = Float64(t_5 - 0.5) tmp = 0.0 if (Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.001) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_4, 0.25), Float64(phi1 * -0.5)), t_4)), sqrt(Float64(t_3 + Float64(t_0 * t_6))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_5)), Float64(0.5 - t_2))), sqrt(Float64(t_3 + Float64(cos(phi1) * Float64(cos(phi2) * t_6)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 - 0.5), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.001], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(phi2 * N[(phi2 * N[(-0.5 * t$95$4 + 0.25), $MachinePrecision] + N[(phi1 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 + N[(t$95$0 * t$95$6), $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$5), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_3 := 0.5 + t\_2\\
t_4 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_5 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_6 := t\_5 - 0.5\\
\mathbf{if}\;t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.001:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.5, t\_4, 0.25\right), \phi_1 \cdot -0.5\right), t\_4\right)}}{\sqrt{t\_3 + t\_0 \cdot t\_6}}\\
\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\_5\right), 0.5 - t\_2\right)}}{\sqrt{t\_3 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot t\_6\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1e-3Initial program 63.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites47.6%
Taylor expanded in phi2 around 0
Applied rewrites25.2%
Applied rewrites17.8%
Taylor expanded in phi2 around 0
Applied rewrites44.9%
if 1e-3 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.3%
Applied rewrites62.3%
Final simplification60.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (* 0.5 (cos (- phi1 phi2))))
(t_2 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* 0.5 (cos (- lambda1 lambda2)))))
(if (<= (+ (* t_3 (* t_0 t_3)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 0.001)
(*
(* R 2.0)
(atan2
(sqrt (fma phi2 (fma phi2 (fma -0.5 t_2 0.25) (* phi1 -0.5)) t_2))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(* t_0 (- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5))))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) (* (cos phi1) (- 0.5 t_4)) (- 0.5 t_1)))
(sqrt (+ (+ 0.5 t_1) (* (cos phi2) (* (cos phi1) (- t_4 0.5)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = 0.5 * cos((phi1 - phi2));
double t_2 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = 0.5 * cos((lambda1 - lambda2));
double tmp;
if (((t_3 * (t_0 * t_3)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.001) {
tmp = (R * 2.0) * atan2(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_2, 0.25), (phi1 * -0.5)), t_2)), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (t_0 * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), (cos(phi1) * (0.5 - t_4)), (0.5 - t_1))), sqrt(((0.5 + t_1) + (cos(phi2) * (cos(phi1) * (t_4 - 0.5)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 * cos(Float64(phi1 - phi2))) t_2 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) tmp = 0.0 if (Float64(Float64(t_3 * Float64(t_0 * t_3)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.001) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_2, 0.25), Float64(phi1 * -0.5)), t_2)), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(t_0 * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), Float64(cos(phi1) * Float64(0.5 - t_4)), Float64(0.5 - t_1))), sqrt(Float64(Float64(0.5 + t_1) + Float64(cos(phi2) * Float64(cos(phi1) * Float64(t_4 - 0.5)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$3 * N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.001], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(phi2 * N[(phi2 * N[(-0.5 * t$95$2 + 0.25), $MachinePrecision] + N[(phi1 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$4), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$4 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\\
t_2 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;t\_3 \cdot \left(t\_0 \cdot t\_3\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.001:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.5, t\_2, 0.25\right), \phi_1 \cdot -0.5\right), t\_2\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + t\_0 \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, \cos \phi_1 \cdot \left(0.5 - t\_4\right), 0.5 - t\_1\right)}}{\sqrt{\left(0.5 + t\_1\right) + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(t\_4 - 0.5\right)\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))))) < 1e-3Initial program 63.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites47.6%
Taylor expanded in phi2 around 0
Applied rewrites25.2%
Applied rewrites17.8%
Taylor expanded in phi2 around 0
Applied rewrites44.9%
if 1e-3 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6462.8
Applied rewrites62.8%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.5%
Taylor expanded in phi1 around 0
Applied rewrites79.5%
Applied rewrites62.3%
Final simplification60.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (* 0.5 (cos (- lambda1 lambda2))))
(t_3 (- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- lambda2 lambda1)))))))
(t_4 (* 0.5 (cos (- phi1 phi2)))))
(if (<= (+ (* t_0 (* t_1 t_0)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 0.001)
(*
(* R 2.0)
(atan2
(sqrt (fma phi2 (fma phi2 (fma -0.5 t_3 0.25) (* phi1 -0.5)) t_3))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(* t_1 (- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5))))))
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi2) (* (cos phi1) (- 0.5 t_2)) (- 0.5 t_4)))
(sqrt (+ (+ 0.5 t_4) (* (cos phi2) (* (cos phi1) (- t_2 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 = cos(phi2) * cos(phi1);
double t_2 = 0.5 * cos((lambda1 - lambda2));
double t_3 = 0.5 - (0.5 * cos((2.0 * (-0.5 * (lambda2 - lambda1)))));
double t_4 = 0.5 * cos((phi1 - phi2));
double tmp;
if (((t_0 * (t_1 * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.001) {
tmp = (R * 2.0) * atan2(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_3, 0.25), (phi1 * -0.5)), t_3)), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (t_1 * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi2), (cos(phi1) * (0.5 - t_2)), (0.5 - t_4))), sqrt(((0.5 + t_4) + (cos(phi2) * (cos(phi1) * (t_2 - 0.5)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) t_3 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(lambda2 - lambda1)))))) t_4 = Float64(0.5 * cos(Float64(phi1 - phi2))) tmp = 0.0 if (Float64(Float64(t_0 * Float64(t_1 * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.001) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_3, 0.25), Float64(phi1 * -0.5)), t_3)), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(t_1 * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi2), Float64(cos(phi1) * Float64(0.5 - t_2)), Float64(0.5 - t_4))), sqrt(Float64(Float64(0.5 + t_4) + Float64(cos(phi2) * Float64(cos(phi1) * Float64(t_2 - 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[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.001], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(phi2 * N[(phi2 * N[(-0.5 * t$95$3 + 0.25), $MachinePrecision] + N[(phi1 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$4), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$2 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)\right)\\
t_4 := 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;t\_0 \cdot \left(t\_1 \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.001:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.5, t\_3, 0.25\right), \phi_1 \cdot -0.5\right), t\_3\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + t\_1 \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2, \cos \phi_1 \cdot \left(0.5 - t\_2\right), 0.5 - t\_4\right)}}{\sqrt{\left(0.5 + t\_4\right) + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(t\_2 - 0.5\right)\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))))) < 1e-3Initial program 63.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites47.6%
Taylor expanded in phi2 around 0
Applied rewrites45.0%
Applied rewrites38.5%
if 1e-3 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6462.8
Applied rewrites62.8%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.5%
Taylor expanded in phi1 around 0
Applied rewrites79.5%
Applied rewrites62.3%
Final simplification59.9%
(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
(-
(* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))
(* (sin (* 0.5 phi2)) (cos (* phi1 0.5))))
2.0)
(* t_1 (* (* (cos phi2) (cos phi1)) t_1))))
(sqrt
(/
(-
(+ 1.0 t_0)
(*
(+ t_0 (cos (+ phi1 phi2)))
(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((pow(((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (sin((0.5 * phi2)) * cos((phi1 * 0.5)))), 2.0) + (t_1 * ((cos(phi2) * cos(phi1)) * t_1)))), sqrt((((1.0 + t_0) - ((t_0 + cos((phi1 + phi2))) * 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(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(0.5 * phi2)) * cos(Float64(phi1 * 0.5)))) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi2) * cos(phi1)) * t_1)))), sqrt(Float64(Float64(Float64(1.0 + t_0) - Float64(Float64(t_0 + cos(Float64(phi1 + phi2))) * 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[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$0), $MachinePrecision] - N[(N[(t$95$0 + N[Cos[N[(phi1 + phi2), $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{{\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(0.5 \cdot \phi_2\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_1\right)}}{\sqrt{\frac{\left(1 + t\_0\right) - \left(t\_0 + \cos \left(\phi_1 + \phi_2\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 62.4%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6463.5
Applied rewrites63.5%
Applied rewrites63.7%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(cos phi1)
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))
(* (sin (* 0.5 phi2)) (cos (* phi1 0.5))))
2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(*
(cos phi2)
(* (cos phi1) (- (* 0.5 (cos (- lambda1 lambda2))) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), cos(phi1), pow(((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (sin((0.5 * phi2)) * cos((phi1 * 0.5)))), 2.0))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) + (cos(phi2) * (cos(phi1) * ((0.5 * cos((lambda1 - lambda2))) - 0.5)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), cos(phi1), (Float64(Float64(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) - Float64(sin(Float64(0.5 * phi2)) * cos(Float64(phi1 * 0.5)))) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) + Float64(cos(phi2) * Float64(cos(phi1) * Float64(Float64(0.5 * cos(Float64(lambda1 - lambda2))) - 0.5)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\left(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right) - \sin \left(0.5 \cdot \phi_2\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\right)}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right) - 0.5\right)\right)}}\right)
\end{array}
Initial program 62.4%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6463.5
Applied rewrites63.5%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.6%
Taylor expanded in phi1 around 0
Applied rewrites79.6%
Applied rewrites63.5%
Final simplification63.5%
(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 phi2) (cos phi1)) 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 (+ phi1 phi2)))
(- 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(phi2) * cos(phi1)) * 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((phi1 + phi2))) * (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(phi2) * cos(phi1)) * 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(phi1 + phi2))) * 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[phi2], $MachinePrecision] * N[Cos[phi1], $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[(phi1 + phi2), $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_2 \cdot \cos \phi_1\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_1 + \phi_2\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 62.4%
Applied rewrites62.6%
Final simplification62.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi2) (cos phi1)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 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(phi2) * cos(phi1)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((t_0 * ((cos(phi2) * cos(phi1)) * t_0)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))))))
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));
return R * (2.0 * Math.atan2(Math.sqrt(((t_0 * ((Math.cos(phi2) * Math.cos(phi1)) * t_0)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_0 * ((math.cos(phi2) * math.cos(phi1)) * t_0)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 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(phi2) * cos(phi1)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi2) * cos(phi1)) * t_0)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 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[phi2], $MachinePrecision] * N[Cos[phi1], $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[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites62.4%
Final simplification62.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* 0.5 (- phi1 phi2))))
(*
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_0)) (pow (sin t_1) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_1))))
(* (cos phi1) (* (cos phi2) (- t_0 0.5))))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_1 = 0.5 * (phi1 - phi2);
return atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), pow(sin(t_1), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5)))))) * (R * 2.0);
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_1 = Float64(0.5 * Float64(phi1 - phi2)) return Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_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(t_0 - 0.5)))))) * Float64(R * 2.0)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $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[(0.5 - t$95$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[(t$95$0 - 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 \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\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 \left(0.5 - t\_0\right), {\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(t\_0 - 0.5\right)\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 62.4%
Applied rewrites57.4%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
unpow2N/A
lift-pow.f6461.8
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6461.8
Applied rewrites61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(* (* (cos phi2) (cos phi1)) (- (* 0.5 (cos (* 2.0 t_0))) 0.5)))))
(t_2 (* -0.5 (- lambda2 lambda1)))
(t_3 (sqrt (pow (sin t_2) 2.0)))
(t_4 (- 0.5 (* 0.5 (cos (* 2.0 t_2))))))
(if (<= (- lambda1 lambda2) -1e-42)
(* (* R 2.0) (atan2 t_3 t_1))
(if (<= (- lambda1 lambda2) 5e-57)
(*
(* R 2.0)
(atan2
(sqrt (fma phi2 (fma phi2 (fma -0.5 t_4 0.25) (* phi1 -0.5)) t_4))
t_1))
(*
R
(*
2.0
(atan2
t_3
(sqrt
(-
1.0
(fma
(cos phi2)
(pow (sin t_0) 2.0)
(pow (sin (* phi2 -0.5)) 2.0)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * t_0))) - 0.5))));
double t_2 = -0.5 * (lambda2 - lambda1);
double t_3 = sqrt(pow(sin(t_2), 2.0));
double t_4 = 0.5 - (0.5 * cos((2.0 * t_2)));
double tmp;
if ((lambda1 - lambda2) <= -1e-42) {
tmp = (R * 2.0) * atan2(t_3, t_1);
} else if ((lambda1 - lambda2) <= 5e-57) {
tmp = (R * 2.0) * atan2(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_4, 0.25), (phi1 * -0.5)), t_4)), t_1);
} else {
tmp = R * (2.0 * atan2(t_3, sqrt((1.0 - fma(cos(phi2), pow(sin(t_0), 2.0), pow(sin((phi2 * -0.5)), 2.0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(Float64(0.5 * cos(Float64(2.0 * t_0))) - 0.5)))) t_2 = Float64(-0.5 * Float64(lambda2 - lambda1)) t_3 = sqrt((sin(t_2) ^ 2.0)) t_4 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -1e-42) tmp = Float64(Float64(R * 2.0) * atan(t_3, t_1)); elseif (Float64(lambda1 - lambda2) <= 5e-57) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_4, 0.25), Float64(phi1 * -0.5)), t_4)), t_1)); else tmp = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - fma(cos(phi2), (sin(t_0) ^ 2.0), (sin(Float64(phi2 * -0.5)) ^ 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[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -1e-42], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / t$95$1], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 5e-57], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(phi2 * N[(phi2 * N[(-0.5 * t$95$4 + 0.25), $MachinePrecision] + N[(phi1 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $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 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_0\right) - 0.5\right)}\\
t_2 := -0.5 \cdot \left(\lambda_2 - \lambda_1\right)\\
t_3 := \sqrt{{\sin t\_2}^{2}}\\
t_4 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -1 \cdot 10^{-42}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{t\_1}\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 5 \cdot 10^{-57}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.5, t\_4, 0.25\right), \phi_1 \cdot -0.5\right), t\_4\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, {\sin t\_0}^{2}, {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\right)}}\right)\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -1.00000000000000004e-42Initial program 59.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites45.0%
Taylor expanded in phi2 around 0
Applied rewrites34.8%
Applied rewrites33.6%
Taylor expanded in phi2 around 0
Applied rewrites34.8%
if -1.00000000000000004e-42 < (-.f64 lambda1 lambda2) < 5.0000000000000002e-57Initial program 74.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites42.0%
Taylor expanded in phi2 around 0
Applied rewrites25.5%
Applied rewrites25.1%
if 5.0000000000000002e-57 < (-.f64 lambda1 lambda2) Initial program 58.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites46.9%
Taylor expanded in phi2 around 0
Applied rewrites35.7%
Taylor expanded in phi1 around 0
sub-negN/A
mul-1-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f6435.8
Applied rewrites35.8%
Final simplification33.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(* (cos phi2) (cos phi1))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))
(t_1 (* -0.5 (- lambda2 lambda1)))
(t_2 (* (* R 2.0) (atan2 (sqrt (pow (sin t_1) 2.0)) t_0)))
(t_3 (- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(if (<= (- lambda1 lambda2) -1e-42)
t_2
(if (<= (- lambda1 lambda2) 5e-57)
(*
(* R 2.0)
(atan2
(sqrt (fma phi2 (fma phi2 (fma -0.5 t_3 0.25) (* phi1 -0.5)) t_3))
t_0))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))));
double t_1 = -0.5 * (lambda2 - lambda1);
double t_2 = (R * 2.0) * atan2(sqrt(pow(sin(t_1), 2.0)), t_0);
double t_3 = 0.5 - (0.5 * cos((2.0 * t_1)));
double tmp;
if ((lambda1 - lambda2) <= -1e-42) {
tmp = t_2;
} else if ((lambda1 - lambda2) <= 5e-57) {
tmp = (R * 2.0) * atan2(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_3, 0.25), (phi1 * -0.5)), t_3)), t_0);
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))) t_1 = Float64(-0.5 * Float64(lambda2 - lambda1)) t_2 = Float64(Float64(R * 2.0) * atan(sqrt((sin(t_1) ^ 2.0)), t_0)) t_3 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -1e-42) tmp = t_2; elseif (Float64(lambda1 - lambda2) <= 5e-57) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(phi2, fma(phi2, fma(-0.5, t_3, 0.25), Float64(phi1 * -0.5)), t_3)), t_0)); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -1e-42], t$95$2, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 5e-57], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(phi2 * N[(phi2 * N[(-0.5 * t$95$3 + 0.25), $MachinePrecision] + N[(phi1 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}\\
t_1 := -0.5 \cdot \left(\lambda_2 - \lambda_1\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2}}}{t\_0}\\
t_3 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -1 \cdot 10^{-42}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 5 \cdot 10^{-57}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.5, t\_3, 0.25\right), \phi_1 \cdot -0.5\right), t\_3\right)}}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -1.00000000000000004e-42 or 5.0000000000000002e-57 < (-.f64 lambda1 lambda2) Initial program 59.2%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites46.0%
Taylor expanded in phi2 around 0
Applied rewrites35.3%
Applied rewrites34.4%
Taylor expanded in phi2 around 0
Applied rewrites35.3%
if -1.00000000000000004e-42 < (-.f64 lambda1 lambda2) < 5.0000000000000002e-57Initial program 74.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites42.0%
Taylor expanded in phi2 around 0
Applied rewrites25.5%
Applied rewrites25.1%
Final simplification33.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(* (cos phi2) (cos phi1))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (r * 2.0d0) * atan2(sqrt((sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sqrt(Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0)), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((Math.cos(phi2) * Math.cos(phi1)) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sqrt(math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0)), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((math.cos(phi2) * math.cos(phi1)) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt((sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sqrt((sin((-0.5 * (lambda2 - lambda1))) ^ 2.0)), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}}
\end{array}
Initial program 62.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites45.2%
Taylor expanded in phi2 around 0
Applied rewrites29.7%
Applied rewrites28.6%
Taylor expanded in phi2 around 0
Applied rewrites29.7%
Final simplification29.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt (- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- lambda2 lambda1)))))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(* (cos phi2) (cos phi1))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (r * 2.0d0) * atan2(sqrt((0.5d0 - (0.5d0 * cos((2.0d0 * ((-0.5d0) * (lambda2 - lambda1))))))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 - (0.5 * Math.cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((Math.cos(phi2) * Math.cos(phi1)) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sqrt((0.5 - (0.5 * math.cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((math.cos(phi2) * math.cos(phi1)) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(lambda2 - lambda1))))))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}}
\end{array}
Initial program 62.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites45.2%
Taylor expanded in phi2 around 0
Applied rewrites29.7%
Applied rewrites28.6%
Final simplification28.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(* (cos phi2) (cos phi1))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))
(t_1 (* (* R 2.0) (atan2 (sqrt (- 0.5 (* 0.5 (cos lambda1)))) t_0))))
(if (<= lambda1 -0.0048)
t_1
(if (<= lambda1 3.5e-5)
(* (* R 2.0) (atan2 (sqrt (- 0.5 (* 0.5 (cos lambda2)))) t_0))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))));
double t_1 = (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos(lambda1)))), t_0);
double tmp;
if (lambda1 <= -0.0048) {
tmp = t_1;
} else if (lambda1 <= 3.5e-5) {
tmp = (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos(lambda2)))), t_0);
} else {
tmp = t_1;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0))))
t_1 = (r * 2.0d0) * atan2(sqrt((0.5d0 - (0.5d0 * cos(lambda1)))), t_0)
if (lambda1 <= (-0.0048d0)) then
tmp = t_1
else if (lambda1 <= 3.5d-5) then
tmp = (r * 2.0d0) * atan2(sqrt((0.5d0 - (0.5d0 * cos(lambda2)))), t_0)
else
tmp = t_1
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((Math.cos(phi2) * Math.cos(phi1)) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))));
double t_1 = (R * 2.0) * Math.atan2(Math.sqrt((0.5 - (0.5 * Math.cos(lambda1)))), t_0);
double tmp;
if (lambda1 <= -0.0048) {
tmp = t_1;
} else if (lambda1 <= 3.5e-5) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((0.5 - (0.5 * Math.cos(lambda2)))), t_0);
} else {
tmp = t_1;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((math.cos(phi2) * math.cos(phi1)) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))) t_1 = (R * 2.0) * math.atan2(math.sqrt((0.5 - (0.5 * math.cos(lambda1)))), t_0) tmp = 0 if lambda1 <= -0.0048: tmp = t_1 elif lambda1 <= 3.5e-5: tmp = (R * 2.0) * math.atan2(math.sqrt((0.5 - (0.5 * math.cos(lambda2)))), t_0) else: tmp = t_1 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 - Float64(0.5 * cos(lambda1)))), t_0)) tmp = 0.0 if (lambda1 <= -0.0048) tmp = t_1; elseif (lambda1 <= 3.5e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 - Float64(0.5 * cos(lambda2)))), t_0)); else tmp = t_1; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))); t_1 = (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos(lambda1)))), t_0); tmp = 0.0; if (lambda1 <= -0.0048) tmp = t_1; elseif (lambda1 <= 3.5e-5) tmp = (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos(lambda2)))), t_0); else tmp = t_1; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.0048], t$95$1, If[LessEqual[lambda1, 3.5e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \lambda_1}}{t\_0}\\
\mathbf{if}\;\lambda_1 \leq -0.0048:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 \leq 3.5 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \lambda_2}}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda1 < -0.00479999999999999958 or 3.4999999999999997e-5 < lambda1 Initial program 48.8%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites38.1%
Taylor expanded in phi2 around 0
Applied rewrites29.6%
Applied rewrites29.6%
Taylor expanded in lambda2 around 0
Applied rewrites29.8%
if -0.00479999999999999958 < lambda1 < 3.4999999999999997e-5Initial program 75.7%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites52.2%
Taylor expanded in phi2 around 0
Applied rewrites29.8%
Applied rewrites27.6%
Taylor expanded in lambda1 around 0
Applied rewrites27.6%
Final simplification28.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt (- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- lambda2 lambda1)))))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos phi1)))
(*
(* (cos phi2) (cos phi1))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), sqrt(((0.5 + (0.5 * cos(phi1))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (r * 2.0d0) * atan2(sqrt((0.5d0 - (0.5d0 * cos((2.0d0 * ((-0.5d0) * (lambda2 - lambda1))))))), sqrt(((0.5d0 + (0.5d0 * cos(phi1))) + ((cos(phi2) * cos(phi1)) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 - (0.5 * Math.cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), Math.sqrt(((0.5 + (0.5 * Math.cos(phi1))) + ((Math.cos(phi2) * Math.cos(phi1)) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sqrt((0.5 - (0.5 * math.cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), math.sqrt(((0.5 + (0.5 * math.cos(phi1))) + ((math.cos(phi2) * math.cos(phi1)) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(lambda2 - lambda1))))))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi1))) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos((2.0 * (-0.5 * (lambda2 - lambda1))))))), sqrt(((0.5 + (0.5 * cos(phi1))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_1\right) + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}}
\end{array}
Initial program 62.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites45.2%
Taylor expanded in phi2 around 0
Applied rewrites29.7%
Applied rewrites28.6%
Taylor expanded in phi2 around 0
lower-cos.f6428.4
Applied rewrites28.4%
Final simplification28.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt (- 0.5 (* 0.5 (cos lambda1))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(* (cos phi2) (cos phi1))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos(lambda1)))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (r * 2.0d0) * atan2(sqrt((0.5d0 - (0.5d0 * cos(lambda1)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sqrt((0.5 - (0.5 * Math.cos(lambda1)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((Math.cos(phi2) * Math.cos(phi1)) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sqrt((0.5 - (0.5 * math.cos(lambda1)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((math.cos(phi2) * math.cos(phi1)) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 - Float64(0.5 * cos(lambda1)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(Float64(cos(phi2) * cos(phi1)) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sqrt((0.5 - (0.5 * cos(lambda1)))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((cos(phi2) * cos(phi1)) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \lambda_1}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)}}
\end{array}
Initial program 62.4%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites45.2%
Taylor expanded in phi2 around 0
Applied rewrites29.7%
Applied rewrites28.6%
Taylor expanded in lambda2 around 0
Applied rewrites17.0%
Final simplification17.0%
herbie shell --seed 2024234
(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))))))))))