
(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 34 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)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* t_2 (* (* (cos phi1) (cos phi2)) t_2))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (- (* (cos (* 0.5 phi2)) t_0) (* (sin (* 0.5 phi2)) t_1)) 2.0)
t_3))
(sqrt
(-
1.0
(+
t_3
(pow
(fma t_0 (cos (* phi2 -0.5)) (* (sin (* phi2 -0.5)) 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 = cos((phi1 * 0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = t_2 * ((cos(phi1) * cos(phi2)) * t_2);
return R * (2.0 * atan2(sqrt((pow(((cos((0.5 * phi2)) * t_0) - (sin((0.5 * phi2)) * t_1)), 2.0) + t_3)), sqrt((1.0 - (t_3 + pow(fma(t_0, cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * t_1)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = cos(Float64(phi1 * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(cos(Float64(0.5 * phi2)) * t_0) - Float64(sin(Float64(0.5 * phi2)) * t_1)) ^ 2.0) + t_3)), sqrt(Float64(1.0 - Float64(t_3 + (fma(t_0, cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * 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[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(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] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$3 + N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * t$95$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 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\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\_3}}{\sqrt{1 - \left(t\_3 + {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot t\_1\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 56.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6457.8
Applied egg-rr57.8%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
metadata-evalN/A
*-lowering-*.f6477.1
Applied egg-rr77.1%
Final simplification77.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* (cos (* 0.5 phi2)) t_0))
(t_2 (sin (* 0.5 phi2)))
(t_3 (cos (* phi1 0.5)))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5
(sqrt
(+
(pow (- t_1 (* t_2 t_3)) 2.0)
(* t_4 (* (* (cos phi1) (cos phi2)) t_4)))))
(t_6
(*
R
(*
2.0
(atan2
t_5
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
(pow
(fma t_0 (cos (* phi2 -0.5)) (* (sin (* phi2 -0.5)) t_3))
2.0)))))))))
(if (<= lambda1 -0.0006)
t_6
(if (<= lambda1 0.0034)
(*
R
(*
2.0
(atan2
t_5
(sqrt
(-
1.0
(+
(pow (fma (- 0.0 t_2) t_3 t_1) 2.0)
(* t_4 (* (cos phi2) (* (cos phi1) (sin (* lambda2 -0.5)))))))))))
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos((0.5 * phi2)) * t_0;
double t_2 = sin((0.5 * phi2));
double t_3 = cos((phi1 * 0.5));
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = sqrt((pow((t_1 - (t_2 * t_3)), 2.0) + (t_4 * ((cos(phi1) * cos(phi2)) * t_4))));
double t_6 = R * (2.0 * atan2(t_5, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), pow(fma(t_0, cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * t_3)), 2.0))))));
double tmp;
if (lambda1 <= -0.0006) {
tmp = t_6;
} else if (lambda1 <= 0.0034) {
tmp = R * (2.0 * atan2(t_5, sqrt((1.0 - (pow(fma((0.0 - t_2), t_3, t_1), 2.0) + (t_4 * (cos(phi2) * (cos(phi1) * sin((lambda2 * -0.5))))))))));
} else {
tmp = t_6;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = Float64(cos(Float64(0.5 * phi2)) * t_0) t_2 = sin(Float64(0.5 * phi2)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = sqrt(Float64((Float64(t_1 - Float64(t_2 * t_3)) ^ 2.0) + Float64(t_4 * Float64(Float64(cos(phi1) * cos(phi2)) * t_4)))) t_6 = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), (fma(t_0, cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * t_3)) ^ 2.0))))))) tmp = 0.0 if (lambda1 <= -0.0006) tmp = t_6; elseif (lambda1 <= 0.0034) tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(1.0 - Float64((fma(Float64(0.0 - t_2), t_3, t_1) ^ 2.0) + Float64(t_4 * Float64(cos(phi2) * Float64(cos(phi1) * sin(Float64(lambda2 * -0.5))))))))))); else tmp = t_6; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[Power[N[(t$95$1 - N[(t$95$2 * t$95$3), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$4 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.0006], t$95$6, If[LessEqual[lambda1, 0.0034], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(0.0 - t$95$2), $MachinePrecision] * t$95$3 + t$95$1), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$4 * N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$6]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \left(0.5 \cdot \phi_2\right) \cdot t\_0\\
t_2 := \sin \left(0.5 \cdot \phi_2\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \sqrt{{\left(t\_1 - t\_2 \cdot t\_3\right)}^{2} + t\_4 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right)}\\
t_6 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot t\_3\right)\right)}^{2}\right)}}\right)\\
\mathbf{if}\;\lambda_1 \leq -0.0006:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\lambda_1 \leq 0.0034:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \left({\left(\mathsf{fma}\left(0 - t\_2, t\_3, t\_1\right)\right)}^{2} + t\_4 \cdot \left(\cos \phi_2 \cdot \left(\cos \phi_1 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if lambda1 < -5.99999999999999947e-4 or 0.00339999999999999981 < lambda1 Initial program 38.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6440.1
Applied egg-rr40.1%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
metadata-evalN/A
*-lowering-*.f6455.4
Applied egg-rr55.4%
Taylor expanded in lambda2 around 0
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
Simplified55.1%
if -5.99999999999999947e-4 < lambda1 < 0.00339999999999999981Initial program 72.5%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6474.2
Applied egg-rr74.2%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr97.1%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6497.1
Simplified97.1%
Final simplification76.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi2)))
(t_1 (cos (* phi1 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (- t_3 (* t_0 t_1)) 2.0)
(*
t_2
(* (cos phi1) (* (cos phi2) (sin (* 0.5 (- lambda1 lambda2))))))))
(sqrt
(-
1.0
(+
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))
(pow (fma (- 0.0 t_0) t_1 t_3) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi2));
double t_1 = cos((phi1 * 0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((0.5 * phi2)) * sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow((t_3 - (t_0 * t_1)), 2.0) + (t_2 * (cos(phi1) * (cos(phi2) * sin((0.5 * (lambda1 - lambda2)))))))), sqrt((1.0 - ((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + pow(fma((0.0 - t_0), t_1, t_3), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi2)) t_1 = cos(Float64(phi1 * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(t_3 - Float64(t_0 * t_1)) ^ 2.0) + Float64(t_2 * Float64(cos(phi1) * Float64(cos(phi2) * sin(Float64(0.5 * Float64(lambda1 - lambda2)))))))), sqrt(Float64(1.0 - Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + (fma(Float64(0.0 - t_0), t_1, t_3) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$3 - N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$2 * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(0.0 - t$95$0), $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_2\right)\\
t_1 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_3 - t\_0 \cdot t\_1\right)}^{2} + t\_2 \cdot \left(\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)}}{\sqrt{1 - \left(t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + {\left(\mathsf{fma}\left(0 - t\_0, t\_1, t\_3\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 56.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6457.8
Applied egg-rr57.8%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr77.1%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6477.1
Applied egg-rr77.1%
Final simplification77.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (cos (* phi1 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3
(sqrt
(+
(pow (- (* (cos (* 0.5 phi2)) t_0) (* (sin (* 0.5 phi2)) t_1)) 2.0)
(* t_2 (* (* (cos phi1) (cos phi2)) t_2)))))
(t_4
(pow (fma t_0 (cos (* phi2 -0.5)) (* (sin (* phi2 -0.5)) t_1)) 2.0))
(t_5
(*
R
(*
2.0
(atan2
t_3
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
t_4))))))))
(if (<= lambda1 -0.0006)
t_5
(if (<= lambda1 0.0034)
(*
R
(*
2.0
(atan2
t_3
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* lambda2 -0.5)) 2.0))
t_4))))))
t_5))))
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 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = sqrt((pow(((cos((0.5 * phi2)) * t_0) - (sin((0.5 * phi2)) * t_1)), 2.0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2))));
double t_4 = pow(fma(t_0, cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * t_1)), 2.0);
double t_5 = R * (2.0 * atan2(t_3, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), t_4)))));
double tmp;
if (lambda1 <= -0.0006) {
tmp = t_5;
} else if (lambda1 <= 0.0034) {
tmp = R * (2.0 * atan2(t_3, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((lambda2 * -0.5)), 2.0)), t_4)))));
} else {
tmp = t_5;
}
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 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sqrt(Float64((Float64(Float64(cos(Float64(0.5 * phi2)) * t_0) - Float64(sin(Float64(0.5 * phi2)) * t_1)) ^ 2.0) + Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)))) t_4 = fma(t_0, cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * t_1)) ^ 2.0 t_5 = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), t_4)))))) tmp = 0.0 if (lambda1 <= -0.0006) tmp = t_5; elseif (lambda1 <= 0.0034) tmp = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(lambda2 * -0.5)) ^ 2.0)), t_4)))))); else tmp = t_5; 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[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(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] + N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.0006], t$95$5, If[LessEqual[lambda1, 0.0034], N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\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 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \sqrt{{\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\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)}\\
t_4 := {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot t\_1\right)\right)}^{2}\\
t_5 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_4\right)}}\right)\\
\mathbf{if}\;\lambda_1 \leq -0.0006:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\lambda_1 \leq 0.0034:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}, t\_4\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if lambda1 < -5.99999999999999947e-4 or 0.00339999999999999981 < lambda1 Initial program 38.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6440.1
Applied egg-rr40.1%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
metadata-evalN/A
*-lowering-*.f6455.4
Applied egg-rr55.4%
Taylor expanded in lambda2 around 0
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
Simplified55.1%
if -5.99999999999999947e-4 < lambda1 < 0.00339999999999999981Initial program 72.5%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6474.2
Applied egg-rr74.2%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
metadata-evalN/A
*-lowering-*.f6497.1
Applied egg-rr97.1%
Taylor expanded in lambda1 around 0
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
Simplified97.1%
Final simplification76.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (cos (- phi1 phi2)))
(t_2 (cos (* phi1 0.5)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4
(sqrt
(+
(pow (- (* (cos (* 0.5 phi2)) t_0) (* (sin (* 0.5 phi2)) t_2)) 2.0)
(* t_3 (* (* (cos phi1) (cos phi2)) t_3)))))
(t_5
(*
R
(*
2.0
(atan2
t_4
(sqrt
(/
(+
(+ 1.0 t_1)
(*
(+ t_1 (cos (+ phi1 phi2)))
(- (* 0.5 (cos (- lambda1 lambda2))) 0.5)))
2.0)))))))
(if (<= lambda1 -0.0006)
t_5
(if (<= lambda1 0.0048)
(*
R
(*
2.0
(atan2
t_4
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* lambda2 -0.5)) 2.0))
(pow
(fma t_0 (cos (* phi2 -0.5)) (* (sin (* phi2 -0.5)) t_2))
2.0)))))))
t_5))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos((phi1 - phi2));
double t_2 = cos((phi1 * 0.5));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = sqrt((pow(((cos((0.5 * phi2)) * t_0) - (sin((0.5 * phi2)) * t_2)), 2.0) + (t_3 * ((cos(phi1) * cos(phi2)) * t_3))));
double t_5 = R * (2.0 * atan2(t_4, sqrt((((1.0 + t_1) + ((t_1 + cos((phi1 + phi2))) * ((0.5 * cos((lambda1 - lambda2))) - 0.5))) / 2.0))));
double tmp;
if (lambda1 <= -0.0006) {
tmp = t_5;
} else if (lambda1 <= 0.0048) {
tmp = R * (2.0 * atan2(t_4, sqrt((1.0 - fma(cos(phi1), (cos(phi2) * pow(sin((lambda2 * -0.5)), 2.0)), pow(fma(t_0, cos((phi2 * -0.5)), (sin((phi2 * -0.5)) * t_2)), 2.0))))));
} else {
tmp = t_5;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = cos(Float64(phi1 - phi2)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = sqrt(Float64((Float64(Float64(cos(Float64(0.5 * phi2)) * t_0) - Float64(sin(Float64(0.5 * phi2)) * t_2)) ^ 2.0) + Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)))) t_5 = Float64(R * Float64(2.0 * atan(t_4, sqrt(Float64(Float64(Float64(1.0 + t_1) + Float64(Float64(t_1 + cos(Float64(phi1 + phi2))) * Float64(Float64(0.5 * cos(Float64(lambda1 - lambda2))) - 0.5))) / 2.0))))) tmp = 0.0 if (lambda1 <= -0.0006) tmp = t_5; elseif (lambda1 <= 0.0048) tmp = Float64(R * Float64(2.0 * atan(t_4, sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(lambda2 * -0.5)) ^ 2.0)), (fma(t_0, cos(Float64(phi2 * -0.5)), Float64(sin(Float64(phi2 * -0.5)) * t_2)) ^ 2.0))))))); else tmp = t_5; 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 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(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$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$3 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(R * N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(N[(N[(1.0 + t$95$1), $MachinePrecision] + N[(N[(t$95$1 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.0006], t$95$5, If[LessEqual[lambda1, 0.0048], N[(R * N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \sqrt{{\left(\cos \left(0.5 \cdot \phi_2\right) \cdot t\_0 - \sin \left(0.5 \cdot \phi_2\right) \cdot t\_2\right)}^{2} + t\_3 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right)}\\
t_5 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{\frac{\left(1 + t\_1\right) + \left(t\_1 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \left(0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right) - 0.5\right)}{2}}}\right)\\
\mathbf{if}\;\lambda_1 \leq -0.0006:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\lambda_1 \leq 0.0048:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}, {\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right) \cdot t\_2\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if lambda1 < -5.99999999999999947e-4 or 0.00479999999999999958 < lambda1 Initial program 38.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6440.1
Applied egg-rr40.1%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr55.4%
Applied egg-rr40.7%
if -5.99999999999999947e-4 < lambda1 < 0.00479999999999999958Initial program 72.5%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6474.2
Applied egg-rr74.2%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
metadata-evalN/A
*-lowering-*.f6497.1
Applied egg-rr97.1%
Taylor expanded in lambda1 around 0
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
Simplified97.1%
Final simplification70.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos (* 0.5 phi2)) (sin (* phi1 0.5))))
(t_1 (sin (* 0.5 phi2)))
(t_2 (cos (* phi1 0.5)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* (* (cos phi1) (cos phi2)) t_3)))
(t_5 (pow (- t_0 (* t_1 t_2)) 2.0))
(t_6
(*
R
(*
2.0
(atan2
(sqrt
(+ t_5 (* t_3 (* (cos phi1) (sin (* -0.5 (- lambda2 lambda1)))))))
(sqrt (- 1.0 (+ t_4 (pow (fma (- 0.0 t_1) t_2 t_0) 2.0))))))))
(t_7 (cos (- phi1 phi2))))
(if (<= phi1 -820000000.0)
t_6
(if (<= phi1 2.1e+62)
(*
R
(*
2.0
(atan2
(sqrt (+ t_5 t_4))
(sqrt
(/
(+
(+ 1.0 t_7)
(*
(+ t_7 (cos (+ phi1 phi2)))
(- (* 0.5 (cos (- lambda1 lambda2))) 0.5)))
2.0)))))
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((0.5 * phi2)) * sin((phi1 * 0.5));
double t_1 = sin((0.5 * phi2));
double t_2 = cos((phi1 * 0.5));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * ((cos(phi1) * cos(phi2)) * t_3);
double t_5 = pow((t_0 - (t_1 * t_2)), 2.0);
double t_6 = R * (2.0 * atan2(sqrt((t_5 + (t_3 * (cos(phi1) * sin((-0.5 * (lambda2 - lambda1))))))), sqrt((1.0 - (t_4 + pow(fma((0.0 - t_1), t_2, t_0), 2.0))))));
double t_7 = cos((phi1 - phi2));
double tmp;
if (phi1 <= -820000000.0) {
tmp = t_6;
} else if (phi1 <= 2.1e+62) {
tmp = R * (2.0 * atan2(sqrt((t_5 + t_4)), sqrt((((1.0 + t_7) + ((t_7 + cos((phi1 + phi2))) * ((0.5 * cos((lambda1 - lambda2))) - 0.5))) / 2.0))));
} else {
tmp = t_6;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) t_1 = sin(Float64(0.5 * phi2)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)) t_5 = Float64(t_0 - Float64(t_1 * t_2)) ^ 2.0 t_6 = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + Float64(t_3 * Float64(cos(phi1) * sin(Float64(-0.5 * Float64(lambda2 - lambda1))))))), sqrt(Float64(1.0 - Float64(t_4 + (fma(Float64(0.0 - t_1), t_2, t_0) ^ 2.0))))))) t_7 = cos(Float64(phi1 - phi2)) tmp = 0.0 if (phi1 <= -820000000.0) tmp = t_6; elseif (phi1 <= 2.1e+62) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + t_4)), sqrt(Float64(Float64(Float64(1.0 + t_7) + Float64(Float64(t_7 + cos(Float64(phi1 + phi2))) * Float64(Float64(0.5 * cos(Float64(lambda1 - lambda2))) - 0.5))) / 2.0))))); else tmp = t_6; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(t$95$0 - N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$6 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + N[(t$95$3 * N[(N[Cos[phi1], $MachinePrecision] * N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 + N[Power[N[(N[(0.0 - t$95$1), $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -820000000.0], t$95$6, If[LessEqual[phi1, 2.1e+62], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$7), $MachinePrecision] + N[(N[(t$95$7 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$6]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(0.5 \cdot \phi_2\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := t\_3 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right)\\
t_5 := {\left(t\_0 - t\_1 \cdot t\_2\right)}^{2}\\
t_6 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + t\_3 \cdot \left(\cos \phi_1 \cdot \sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)\right)}}{\sqrt{1 - \left(t\_4 + {\left(\mathsf{fma}\left(0 - t\_1, t\_2, t\_0\right)\right)}^{2}\right)}}\right)\\
t_7 := \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;\phi_1 \leq -820000000:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\phi_1 \leq 2.1 \cdot 10^{+62}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + t\_4}}{\sqrt{\frac{\left(1 + t\_7\right) + \left(t\_7 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \left(0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right) - 0.5\right)}{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if phi1 < -8.2e8 or 2.1e62 < phi1 Initial program 40.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6443.4
Applied egg-rr43.4%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr79.0%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
*-lowering-*.f64N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
cos-lowering-cos.f6456.2
Simplified56.2%
if -8.2e8 < phi1 < 2.1e62Initial program 71.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6471.5
Applied egg-rr71.5%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr75.2%
Applied egg-rr72.2%
Final simplification64.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos (* 0.5 phi2)) (sin (* phi1 0.5))))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (cos (* phi1 0.5)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* (* (cos phi1) (cos phi2)) t_3)))
(t_5 (sin (* 0.5 phi2)))
(t_6
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (- t_0 (* t_5 t_2)) 2.0)
(* t_3 (* (cos phi2) (sin (* -0.5 (- lambda2 lambda1)))))))
(sqrt (- 1.0 (+ t_4 (pow (fma (- 0.0 t_5) t_2 t_0) 2.0))))))))
(t_7 (+ 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_1)))))))
(if (<= phi2 -9.6e-12)
t_6
(if (<= phi2 1.9e-18)
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(/
(+
(* 2.0 (- 1.0 (pow (sin t_1) 4.0)))
(*
t_7
(*
(+ (cos (- phi1 phi2)) (cos (+ phi1 phi2)))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5))))
(* 2.0 t_7))))))
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((0.5 * phi2)) * sin((phi1 * 0.5));
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = cos((phi1 * 0.5));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * ((cos(phi1) * cos(phi2)) * t_3);
double t_5 = sin((0.5 * phi2));
double t_6 = R * (2.0 * atan2(sqrt((pow((t_0 - (t_5 * t_2)), 2.0) + (t_3 * (cos(phi2) * sin((-0.5 * (lambda2 - lambda1))))))), sqrt((1.0 - (t_4 + pow(fma((0.0 - t_5), t_2, t_0), 2.0))))));
double t_7 = 1.0 + (0.5 - (0.5 * cos((2.0 * t_1))));
double tmp;
if (phi2 <= -9.6e-12) {
tmp = t_6;
} else if (phi2 <= 1.9e-18) {
tmp = R * (2.0 * atan2(sqrt((t_4 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((((2.0 * (1.0 - pow(sin(t_1), 4.0))) + (t_7 * ((cos((phi1 - phi2)) + cos((phi1 + phi2))) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))) / (2.0 * t_7)))));
} else {
tmp = t_6;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)) t_5 = sin(Float64(0.5 * phi2)) t_6 = Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(t_0 - Float64(t_5 * t_2)) ^ 2.0) + Float64(t_3 * Float64(cos(phi2) * sin(Float64(-0.5 * Float64(lambda2 - lambda1))))))), sqrt(Float64(1.0 - Float64(t_4 + (fma(Float64(0.0 - t_5), t_2, t_0) ^ 2.0))))))) t_7 = Float64(1.0 + Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))) tmp = 0.0 if (phi2 <= -9.6e-12) tmp = t_6; elseif (phi2 <= 1.9e-18) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(Float64(2.0 * Float64(1.0 - (sin(t_1) ^ 4.0))) + Float64(t_7 * Float64(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(phi1 + phi2))) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))) / Float64(2.0 * t_7)))))); else tmp = t_6; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$0 - N[(t$95$5 * t$95$2), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$3 * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 + N[Power[N[(N[(0.0 - t$95$5), $MachinePrecision] * t$95$2 + t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(1.0 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -9.6e-12], t$95$6, If[LessEqual[phi2, 1.9e-18], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(2.0 * N[(1.0 - N[Power[N[Sin[t$95$1], $MachinePrecision], 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$7 * N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $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] / N[(2.0 * t$95$7), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$6]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := t\_3 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right)\\
t_5 := \sin \left(0.5 \cdot \phi_2\right)\\
t_6 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_0 - t\_5 \cdot t\_2\right)}^{2} + t\_3 \cdot \left(\cos \phi_2 \cdot \sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)\right)}}{\sqrt{1 - \left(t\_4 + {\left(\mathsf{fma}\left(0 - t\_5, t\_2, t\_0\right)\right)}^{2}\right)}}\right)\\
t_7 := 1 + \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)\\
\mathbf{if}\;\phi_2 \leq -9.6 \cdot 10^{-12}:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\phi_2 \leq 1.9 \cdot 10^{-18}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\frac{2 \cdot \left(1 - {\sin t\_1}^{4}\right) + t\_7 \cdot \left(\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_1 + \phi_2\right)\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)\right)}{2 \cdot t\_7}}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if phi2 < -9.59999999999999948e-12 or 1.8999999999999999e-18 < phi2 Initial program 42.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6444.6
Applied egg-rr44.6%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr76.6%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
*-lowering-*.f64N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f6455.2
Simplified55.2%
if -9.59999999999999948e-12 < phi2 < 1.8999999999999999e-18Initial program 77.7%
Applied egg-rr77.8%
Final simplification64.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* 0.5 (- lambda1 lambda2)))
(t_2 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* t_0 t_3))))
(if (<= (+ t_4 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 0.004)
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 (pow (sin (/ 1.0 (/ 2.0 (- phi1 phi2)))) 2.0)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5)))))))
(*
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_1) 2.0)) t_2))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_1)))))
t_2))))
(* R 2.0)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.5 * (lambda1 - lambda2);
double t_2 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * (t_0 * t_3);
double tmp;
if ((t_4 + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.004) {
tmp = R * (2.0 * atan2(sqrt((t_4 + pow(sin((1.0 / (2.0 / (phi1 - phi2)))), 2.0))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))));
} else {
tmp = atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_1), 2.0)), t_2)), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_1))))), t_2)))) * (R * 2.0);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.5 * Float64(lambda1 - lambda2)) t_2 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(t_3 * Float64(t_0 * t_3)) tmp = 0.0 if (Float64(t_4 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.004) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + (sin(Float64(1.0 / Float64(2.0 / Float64(phi1 - phi2)))) ^ 2.0))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))); else tmp = Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_1) ^ 2.0)), t_2)), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))), t_2)))) * Float64(R * 2.0)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$4 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.004], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[Power[N[Sin[N[(1.0 / N[(2.0 / N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := t\_3 \cdot \left(t\_0 \cdot t\_3\right)\\
\mathbf{if}\;t\_4 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.004:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + {\sin \left(\frac{1}{\frac{2}{\phi_1 - \phi_2}}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_1}^{2}, t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right), t\_2\right)}} \cdot \left(R \cdot 2\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0040000000000000001Initial program 55.5%
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
--lowering--.f6456.7
Applied egg-rr56.7%
Applied egg-rr56.7%
if 0.0040000000000000001 < (+.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 56.3%
Applied egg-rr56.3%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
pow2N/A
pow-lowering-pow.f64N/A
div-invN/A
metadata-evalN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6456.4
Applied egg-rr56.4%
Final simplification56.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (* phi1 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (* phi1 0.5)))
(t_4
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))
(if (<= (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 2e-28)
(*
(* R 2.0)
(atan2
(fma
phi2
(fma
phi2
(fma t_1 -0.125 (* t_3 (* phi2 0.020833333333333332)))
(* -0.5 t_3))
t_1)
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))
(* (* R 2.0) (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin((phi1 * 0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((phi1 * 0.5));
double t_4 = fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))));
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-28) {
tmp = (R * 2.0) * atan2(fma(phi2, fma(phi2, fma(t_1, -0.125, (t_3 * (phi2 * 0.020833333333333332))), (-0.5 * t_3)), t_1), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * (0.5 - (0.5 * cos((lambda1 - lambda2))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(t_4), sqrt((1.0 - t_4)));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))))) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-28) tmp = Float64(Float64(R * 2.0) * atan(fma(phi2, fma(phi2, fma(t_1, -0.125, Float64(t_3 * Float64(phi2 * 0.020833333333333332))), Float64(-0.5 * t_3)), t_1), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4)))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-28], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[(phi2 * N[(phi2 * N[(t$95$1 * -0.125 + N[(t$95$3 * N[(phi2 * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-28}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(t\_1, -0.125, t\_3 \cdot \left(\phi_2 \cdot 0.020833333333333332\right)\right), -0.5 \cdot t\_3\right), t\_1\right)}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.99999999999999994e-28Initial program 53.7%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified36.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6421.4
Simplified21.4%
Applied egg-rr21.4%
Taylor expanded in phi2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified24.9%
if 1.99999999999999994e-28 < (+.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 56.5%
Applied egg-rr56.2%
Final simplification53.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (* phi1 0.5)))
(t_2 (cos (* phi1 0.5)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (fma 0.5 (cos (- phi1 phi2)) 0.5)))
(if (<= (+ (* t_3 (* t_0 t_3)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 2e-28)
(*
(* R 2.0)
(atan2
(fma
phi2
(fma
phi2
(fma t_1 -0.125 (* t_2 (* phi2 0.020833333333333332)))
(* -0.5 t_2))
t_1)
(sqrt (- t_4 (* t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (- t_4 (* t_0 (+ 0.5 (* -0.5 (cos lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin((phi1 * 0.5));
double t_2 = cos((phi1 * 0.5));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = fma(0.5, cos((phi1 - phi2)), 0.5);
double tmp;
if (((t_3 * (t_0 * t_3)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-28) {
tmp = (R * 2.0) * atan2(fma(phi2, fma(phi2, fma(t_1, -0.125, (t_2 * (phi2 * 0.020833333333333332))), (-0.5 * t_2)), t_1), sqrt((t_4 - (t_0 * (0.5 - (0.5 * cos((lambda1 - lambda2))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((t_4 - (t_0 * (0.5 + (-0.5 * cos(lambda2)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = fma(0.5, cos(Float64(phi1 - phi2)), 0.5) tmp = 0.0 if (Float64(Float64(t_3 * Float64(t_0 * t_3)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-28) tmp = Float64(Float64(R * 2.0) * atan(fma(phi2, fma(phi2, fma(t_1, -0.125, Float64(t_2 * Float64(phi2 * 0.020833333333333332))), Float64(-0.5 * t_2)), t_1), sqrt(Float64(t_4 - Float64(t_0 * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(t_4 - Float64(t_0 * Float64(0.5 + Float64(-0.5 * cos(lambda2)))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $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], 2e-28], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[(phi2 * N[(phi2 * N[(t$95$1 * -0.125 + N[(t$95$2 * N[(phi2 * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] / N[Sqrt[N[(t$95$4 - N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $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 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 - N[(t$95$0 * N[(0.5 + N[(-0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\\
\mathbf{if}\;t\_3 \cdot \left(t\_0 \cdot t\_3\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-28}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(t\_1, -0.125, t\_2 \cdot \left(\phi_2 \cdot 0.020833333333333332\right)\right), -0.5 \cdot t\_2\right), t\_1\right)}{\sqrt{t\_4 - t\_0 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_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 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{t\_4 - t\_0 \cdot \left(0.5 + -0.5 \cdot \cos \lambda_2\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.99999999999999994e-28Initial program 53.7%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified36.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6421.4
Simplified21.4%
Applied egg-rr21.4%
Taylor expanded in phi2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified24.9%
if 1.99999999999999994e-28 < (+.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 56.5%
Applied egg-rr56.2%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6440.1
Simplified40.1%
Taylor expanded in lambda1 around 0
cos-negN/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
cos-negN/A
Simplified46.8%
Final simplification44.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (* phi1 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (fma 0.5 (cos (- phi1 phi2)) 0.5)))
(if (<= (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 2e-28)
(*
(* R 2.0)
(atan2
(fma phi2 (fma -0.5 (cos (* phi1 0.5)) (* t_1 (* phi2 -0.125))) t_1)
(sqrt (- t_3 (* t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt t_3))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin((phi1 * 0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = fma(0.5, cos((phi1 - phi2)), 0.5);
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-28) {
tmp = (R * 2.0) * atan2(fma(phi2, fma(-0.5, cos((phi1 * 0.5)), (t_1 * (phi2 * -0.125))), t_1), sqrt((t_3 - (t_0 * (0.5 - (0.5 * cos((lambda1 - lambda2))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(t_3));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = fma(0.5, cos(Float64(phi1 - phi2)), 0.5) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-28) tmp = Float64(Float64(R * 2.0) * atan(fma(phi2, fma(-0.5, cos(Float64(phi1 * 0.5)), Float64(t_1 * Float64(phi2 * -0.125))), t_1), sqrt(Float64(t_3 - Float64(t_0 * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(t_3))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $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[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-28], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[(phi2 * N[(-0.5 * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$1 * N[(phi2 * -0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] / N[Sqrt[N[(t$95$3 - N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $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 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[t$95$3], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-28}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.5, \cos \left(\phi_1 \cdot 0.5\right), t\_1 \cdot \left(\phi_2 \cdot -0.125\right)\right), t\_1\right)}{\sqrt{t\_3 - t\_0 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_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 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{t\_3}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.99999999999999994e-28Initial program 53.7%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified36.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6421.4
Simplified21.4%
Applied egg-rr21.4%
Taylor expanded in phi2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6423.5
Simplified23.5%
if 1.99999999999999994e-28 < (+.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 56.5%
Applied egg-rr56.2%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6440.1
Simplified40.1%
Taylor expanded in lambda2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6430.4
Simplified30.4%
Final simplification29.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))
(* (sin (* 0.5 phi2)) (cos (* phi1 0.5))))
2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(/
(+
(+ 1.0 t_0)
(*
(+ t_0 (cos (+ phi1 phi2)))
(- (* 0.5 (cos (- lambda1 lambda2))) 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(phi1) * cos(phi2)) * t_1)))), sqrt((((1.0 + t_0) + ((t_0 + cos((phi1 + phi2))) * ((0.5 * cos((lambda1 - lambda2))) - 0.5))) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = cos((phi1 - phi2))
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((((cos((0.5d0 * phi2)) * sin((phi1 * 0.5d0))) - (sin((0.5d0 * phi2)) * cos((phi1 * 0.5d0)))) ** 2.0d0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((((1.0d0 + t_0) + ((t_0 + cos((phi1 + phi2))) * ((0.5d0 * cos((lambda1 - lambda2))) - 0.5d0))) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((phi1 - phi2));
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(((Math.cos((0.5 * phi2)) * Math.sin((phi1 * 0.5))) - (Math.sin((0.5 * phi2)) * Math.cos((phi1 * 0.5)))), 2.0) + (t_1 * ((Math.cos(phi1) * Math.cos(phi2)) * t_1)))), Math.sqrt((((1.0 + t_0) + ((t_0 + Math.cos((phi1 + phi2))) * ((0.5 * Math.cos((lambda1 - lambda2))) - 0.5))) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((phi1 - phi2)) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(((math.cos((0.5 * phi2)) * math.sin((phi1 * 0.5))) - (math.sin((0.5 * phi2)) * math.cos((phi1 * 0.5)))), 2.0) + (t_1 * ((math.cos(phi1) * math.cos(phi2)) * t_1)))), math.sqrt((((1.0 + t_0) + ((t_0 + math.cos((phi1 + phi2))) * ((0.5 * math.cos((lambda1 - lambda2))) - 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(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(Float64(Float64(1.0 + t_0) + Float64(Float64(t_0 + cos(Float64(phi1 + phi2))) * Float64(Float64(0.5 * cos(Float64(lambda1 - lambda2))) - 0.5))) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((phi1 - phi2)); t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (sin((0.5 * phi2)) * cos((phi1 * 0.5)))) ^ 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((((1.0 + t_0) + ((t_0 + cos((phi1 + phi2))) * ((0.5 * cos((lambda1 - lambda2))) - 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[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$0), $MachinePrecision] + N[(N[(t$95$0 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 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_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{\frac{\left(1 + t\_0\right) + \left(t\_0 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \left(0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right) - 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 56.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6457.8
Applied egg-rr57.8%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr77.1%
Applied egg-rr58.4%
Final simplification58.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))
(* (sin (* 0.5 phi2)) (cos (* phi1 0.5))))
2.0)
(* t_1 (* t_0 t_1))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (sin((0.5 * phi2)) * cos((phi1 * 0.5)))), 2.0) + (t_1 * (t_0 * t_1)))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((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(t_0 * t_1)))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(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[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\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(t\_0 \cdot t\_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 56.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6457.8
Applied egg-rr57.8%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
metadata-evalN/A
*-lowering-*.f6477.1
Applied egg-rr77.1%
Applied egg-rr57.9%
Final simplification57.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (fma 0.5 (cos (- phi1 phi2)) 0.5))
(t_2 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 2e-28)
(*
(* R 2.0)
(atan2
(fma (* phi1 0.5) (cos (* phi2 -0.5)) (sin (* phi2 -0.5)))
(sqrt (- t_1 (* t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt t_1))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = fma(0.5, cos((phi1 - phi2)), 0.5);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-28) {
tmp = (R * 2.0) * atan2(fma((phi1 * 0.5), cos((phi2 * -0.5)), sin((phi2 * -0.5))), sqrt((t_1 - (t_0 * (0.5 - (0.5 * cos((lambda1 - lambda2))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(t_1));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = fma(0.5, cos(Float64(phi1 - phi2)), 0.5) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-28) tmp = Float64(Float64(R * 2.0) * atan(fma(Float64(phi1 * 0.5), cos(Float64(phi2 * -0.5)), sin(Float64(phi2 * -0.5))), sqrt(Float64(t_1 - Float64(t_0 * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(t_1))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-28], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[(N[(phi1 * 0.5), $MachinePrecision] * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(t$95$1 - N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $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 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[t$95$1], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-28}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_1 \cdot 0.5, \cos \left(\phi_2 \cdot -0.5\right), \sin \left(\phi_2 \cdot -0.5\right)\right)}{\sqrt{t\_1 - t\_0 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_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 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{t\_1}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.99999999999999994e-28Initial program 53.7%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified36.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6421.4
Simplified21.4%
Applied egg-rr21.4%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6421.5
Simplified21.5%
if 1.99999999999999994e-28 < (+.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 56.5%
Applied egg-rr56.2%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6440.1
Simplified40.1%
Taylor expanded in lambda2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6430.4
Simplified30.4%
Final simplification29.5%
(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 phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(/
(fma
(- (cos (+ t_0 (* 0.5 (- phi2 phi1)))) (cos (* 2.0 t_0)))
2.0
(*
2.0
(*
(+ (cos (- phi1 phi2)) (cos (+ 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(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (fma((cos((t_0 + (0.5 * (phi2 - phi1)))) - cos((2.0 * t_0))), 2.0, (2.0 * ((cos((phi1 - phi2)) + cos((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(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(t_0 + Float64(0.5 * Float64(phi2 - phi1)))) - cos(Float64(2.0 * t_0))), 2.0, Float64(2.0 * Float64(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(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[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(t$95$0 + N[(0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 2.0 + N[(2.0 * N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(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_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \frac{\mathsf{fma}\left(\cos \left(t\_0 + 0.5 \cdot \left(\phi_2 - \phi_1\right)\right) - \cos \left(2 \cdot t\_0\right), 2, 2 \cdot \left(\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_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 56.2%
Applied egg-rr56.7%
Final simplification56.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 2e-28)
(*
(* R 2.0)
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt
(-
(fma 0.5 (cos phi2) 0.5)
(* t_0 (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (fma 0.5 (cos (- phi1 phi2)) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-28) {
tmp = (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((fma(0.5, cos(phi2), 0.5) - (t_0 * (0.5 - (0.5 * cos((lambda1 - lambda2))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(fma(0.5, cos((phi1 - phi2)), 0.5)));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-28) tmp = Float64(Float64(R * 2.0) * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(Float64(fma(0.5, cos(phi2), 0.5) - Float64(t_0 * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(fma(0.5, cos(Float64(phi1 - phi2)), 0.5)))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, 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], 2e-28], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[phi2], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $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 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-28}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{\mathsf{fma}\left(0.5, \cos \phi_2, 0.5\right) - t\_0 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_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 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\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))))) < 1.99999999999999994e-28Initial program 53.7%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified36.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6421.4
Simplified21.4%
Applied egg-rr21.4%
Taylor expanded in phi1 around 0
cos-negN/A
cos-lowering-cos.f6421.4
Simplified21.4%
if 1.99999999999999994e-28 < (+.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 56.5%
Applied egg-rr56.2%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6440.1
Simplified40.1%
Taylor expanded in lambda2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6430.4
Simplified30.4%
Final simplification29.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (* 0.5 (- phi1 phi2)))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(fma
t_2
t_2
(*
t_0
(- (* 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 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((0.5 * (phi1 - phi2)));
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(fma(t_2, t_2, (t_0 * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(0.5 * Float64(phi1 - phi2))) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(fma(t_2, t_2, Float64(t_0 * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[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]], $MachinePrecision] / N[Sqrt[N[(t$95$2 * t$95$2 + 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]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(t\_2, t\_2, 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)\right)}}\right)
\end{array}
\end{array}
Initial program 56.2%
associate--r+N/A
associate-*l*N/A
cancel-sign-sub-invN/A
unpow2N/A
1-sub-sinN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr56.4%
Final simplification56.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
(+ 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(phi1) * cos(phi2)) * 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(phi1) * cos(phi2)) * 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(phi1) * Math.cos(phi2)) * 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(phi1) * math.cos(phi2)) * 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(phi1) * cos(phi2)) * 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(phi1) * cos(phi2)) * 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[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(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_1 \cdot \cos \phi_2\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 56.2%
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr56.4%
Final simplification56.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(*
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0)) t_1))
(sqrt
(-
1.0
(fma (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_0))))) t_1))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
return atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_0), 2.0)), t_1)), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_0))))), t_1)))) * (R * 2.0);
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) return Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_0) ^ 2.0)), t_1)), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))), t_1)))) * Float64(R * 2.0)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_0}^{2}, t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right), t\_1\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 56.2%
Applied egg-rr51.2%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
pow2N/A
pow-lowering-pow.f64N/A
div-invN/A
metadata-evalN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6454.1
Applied egg-rr54.1%
Final simplification54.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (pow (sin t_0) 2.0)))
(sqrt (- 1.0 (fma (cos phi1) t_1 (- 0.5 (* 0.5 (cos (* 2.0 t_0)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, pow(sin(t_0), 2.0))), sqrt((1.0 - fma(cos(phi1), t_1, (0.5 - (0.5 * cos((2.0 * t_0))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, (sin(t_0) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_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[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, {\sin t\_0}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}
\end{array}
\end{array}
Initial program 56.2%
Applied egg-rr51.2%
metadata-evalN/A
div-invN/A
sqr-sin-aN/A
unpow2N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sub-negN/A
distribute-rgt-inN/A
cancel-sign-sub-invN/A
sin-diffN/A
pow-lowering-pow.f64N/A
Applied egg-rr53.2%
Final simplification53.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_1
(sqrt
(-
1.0
(fma
(cos phi1)
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))))
(t_2
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_0 (fma -0.5 (cos phi1) 0.5))) t_1))))
(if (<= phi1 -6.6e-5)
t_2
(if (<= phi1 2.75e-5)
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_0 (fma -0.5 (cos phi2) 0.5))) t_1))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_1 = sqrt((1.0 - fma(cos(phi1), t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, fma(-0.5, cos(phi1), 0.5))), t_1);
double tmp;
if (phi1 <= -6.6e-5) {
tmp = t_2;
} else if (phi1 <= 2.75e-5) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, fma(-0.5, cos(phi2), 0.5))), t_1);
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_1 = sqrt(Float64(1.0 - fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, fma(-0.5, cos(phi1), 0.5))), t_1)) tmp = 0.0 if (phi1 <= -6.6e-5) tmp = t_2; elseif (phi1 <= 2.75e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, fma(-0.5, cos(phi2), 0.5))), t_1)); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(-0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -6.6e-5], t$95$2, If[LessEqual[phi1, 2.75e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(-0.5 * N[Cos[phi2], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_1 := \sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, \mathsf{fma}\left(-0.5, \cos \phi_1, 0.5\right)\right)}}{t\_1}\\
\mathbf{if}\;\phi_1 \leq -6.6 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 2.75 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, \mathsf{fma}\left(-0.5, \cos \phi_2, 0.5\right)\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -6.6000000000000005e-5 or 2.7500000000000001e-5 < phi1 Initial program 42.5%
Applied egg-rr42.4%
Taylor expanded in phi2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6443.1
Simplified43.1%
if -6.6000000000000005e-5 < phi1 < 2.7500000000000001e-5Initial program 73.2%
Applied egg-rr62.1%
Taylor expanded in phi1 around 0
cos-negN/A
cancel-sign-sub-invN/A
+-commutativeN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6462.1
Simplified62.1%
Final simplification51.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_1
(fma
(cos phi1)
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_0 (fma -0.5 (cos phi1) 0.5)))
(sqrt (- 1.0 t_1))))))
(if (<= phi1 -0.0095)
t_2
(if (<= phi1 2.9e-5)
(*
(* R 2.0)
(atan2
(sqrt t_1)
(sqrt (- 1.0 (fma (cos phi1) t_0 (fma -0.5 (cos phi2) 0.5))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_1 = fma(cos(phi1), t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, fma(-0.5, cos(phi1), 0.5))), sqrt((1.0 - t_1)));
double tmp;
if (phi1 <= -0.0095) {
tmp = t_2;
} else if (phi1 <= 2.9e-5) {
tmp = (R * 2.0) * atan2(sqrt(t_1), sqrt((1.0 - fma(cos(phi1), t_0, fma(-0.5, cos(phi2), 0.5)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_1 = fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, fma(-0.5, cos(phi1), 0.5))), sqrt(Float64(1.0 - t_1)))) tmp = 0.0 if (phi1 <= -0.0095) tmp = t_2; elseif (phi1 <= 2.9e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(t_1), sqrt(Float64(1.0 - fma(cos(phi1), t_0, fma(-0.5, cos(phi2), 0.5)))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(-0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.0095], t$95$2, If[LessEqual[phi1, 2.9e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(-0.5 * N[Cos[phi2], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_1 := \mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, \mathsf{fma}\left(-0.5, \cos \phi_1, 0.5\right)\right)}}{\sqrt{1 - t\_1}}\\
\mathbf{if}\;\phi_1 \leq -0.0095:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 2.9 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, \mathsf{fma}\left(-0.5, \cos \phi_2, 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -0.00949999999999999976 or 2.9e-5 < phi1 Initial program 42.5%
Applied egg-rr42.4%
Taylor expanded in phi2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6443.1
Simplified43.1%
if -0.00949999999999999976 < phi1 < 2.9e-5Initial program 73.2%
Applied egg-rr62.1%
Taylor expanded in phi1 around 0
cos-negN/A
cancel-sign-sub-invN/A
+-commutativeN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6462.1
Simplified62.1%
Final simplification51.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
t_1
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (- 1.0 (fma (cos phi1) t_1 (fma -0.5 (cos phi2) 0.5)))))))
(t_3 (* 0.5 (cos (- lambda1 lambda2)))))
(if (<= phi2 -2.3e-5)
t_2
(if (<= phi2 3.7e-9)
(*
(* R 2.0)
(atan2
(sqrt (fma t_0 (- 0.5 t_3) (- 0.5 (* 0.5 (cos (- phi1 phi2))))))
(sqrt
(+ (+ 0.5 (* 0.5 (cos (* 2.0 (* phi1 0.5))))) (* t_0 (- t_3 0.5))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((1.0 - fma(cos(phi1), t_1, fma(-0.5, cos(phi2), 0.5)))));
double t_3 = 0.5 * cos((lambda1 - lambda2));
double tmp;
if (phi2 <= -2.3e-5) {
tmp = t_2;
} else if (phi2 <= 3.7e-9) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - t_3), (0.5 - (0.5 * cos((phi1 - phi2)))))), sqrt(((0.5 + (0.5 * cos((2.0 * (phi1 * 0.5))))) + (t_0 * (t_3 - 0.5)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(1.0 - fma(cos(phi1), t_1, fma(-0.5, cos(phi2), 0.5)))))) t_3 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) tmp = 0.0 if (phi2 <= -2.3e-5) tmp = t_2; elseif (phi2 <= 3.7e-9) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - t_3), Float64(0.5 - Float64(0.5 * cos(Float64(phi1 - phi2)))))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(phi1 * 0.5))))) + Float64(t_0 * Float64(t_3 - 0.5)))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(-0.5 * N[Cos[phi2], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -2.3e-5], t$95$2, If[LessEqual[phi2, 3.7e-9], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - t$95$3), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(phi1 * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_1, \mathsf{fma}\left(-0.5, \cos \phi_2, 0.5\right)\right)}}\\
t_3 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq -2.3 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 3.7 \cdot 10^{-9}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - t\_3, 0.5 - 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(\phi_1 \cdot 0.5\right)\right)\right) + t\_0 \cdot \left(t\_3 - 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -2.3e-5 or 3.7e-9 < phi2 Initial program 40.0%
Applied egg-rr40.1%
Taylor expanded in phi1 around 0
cos-negN/A
cancel-sign-sub-invN/A
+-commutativeN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6440.5
Simplified40.5%
if -2.3e-5 < phi2 < 3.7e-9Initial program 78.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6478.5
Applied egg-rr78.5%
Taylor expanded in phi1 around inf
*-lowering-*.f6478.5
Simplified78.5%
Applied egg-rr66.4%
Final simplification51.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (- lambda1 lambda2))))
(t_1 (cos (- phi1 phi2)))
(t_2 (* (cos phi1) (cos phi2)))
(t_3
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt
(- (fma 0.5 t_1 0.5) (* t_2 (+ 0.5 (* -0.5 (cos lambda2))))))))))
(if (<= phi2 -0.02)
t_3
(if (<= phi2 1e-36)
(*
(* R 2.0)
(atan2
(sqrt (fma t_2 (- 0.5 t_0) (- 0.5 (* 0.5 t_1))))
(sqrt
(+ (+ 0.5 (* 0.5 (cos (* 2.0 (* phi1 0.5))))) (* t_2 (- t_0 0.5))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((lambda1 - lambda2));
double t_1 = cos((phi1 - phi2));
double t_2 = cos(phi1) * cos(phi2);
double t_3 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((fma(0.5, t_1, 0.5) - (t_2 * (0.5 + (-0.5 * cos(lambda2)))))));
double tmp;
if (phi2 <= -0.02) {
tmp = t_3;
} else if (phi2 <= 1e-36) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_2, (0.5 - t_0), (0.5 - (0.5 * t_1)))), sqrt(((0.5 + (0.5 * cos((2.0 * (phi1 * 0.5))))) + (t_2 * (t_0 - 0.5)))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(lambda1 - lambda2))) t_1 = cos(Float64(phi1 - phi2)) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(fma(0.5, t_1, 0.5) - Float64(t_2 * Float64(0.5 + Float64(-0.5 * cos(lambda2)))))))) tmp = 0.0 if (phi2 <= -0.02) tmp = t_3; elseif (phi2 <= 1e-36) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_2, Float64(0.5 - t_0), Float64(0.5 - Float64(0.5 * t_1)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(phi1 * 0.5))))) + Float64(t_2 * Float64(t_0 - 0.5)))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * t$95$1 + 0.5), $MachinePrecision] - N[(t$95$2 * N[(0.5 + N[(-0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.02], t$95$3, If[LessEqual[phi2, 1e-36], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 * N[(0.5 - t$95$0), $MachinePrecision] + N[(0.5 - N[(0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(phi1 * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_1, 0.5\right) - t\_2 \cdot \left(0.5 + -0.5 \cdot \cos \lambda_2\right)}}\\
\mathbf{if}\;\phi_2 \leq -0.02:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 10^{-36}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, 0.5 - t\_0, 0.5 - 0.5 \cdot t\_1\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(\phi_1 \cdot 0.5\right)\right)\right) + t\_2 \cdot \left(t\_0 - 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -0.0200000000000000004 or 9.9999999999999994e-37 < phi2 Initial program 42.5%
Applied egg-rr42.0%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6431.6
Simplified31.6%
Taylor expanded in lambda1 around 0
cos-negN/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
cos-negN/A
Simplified37.4%
if -0.0200000000000000004 < phi2 < 9.9999999999999994e-37Initial program 77.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6477.3
Applied egg-rr77.3%
Taylor expanded in phi1 around inf
*-lowering-*.f6477.3
Simplified77.3%
Applied egg-rr65.4%
Final simplification48.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- phi1 phi2)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (* 0.5 t_2)))
(if (<= phi2 -0.02)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (- (fma 0.5 t_1 0.5) (* t_0 (+ 0.5 (* -0.5 (cos lambda2))))))))
(if (<= phi2 6.6e-17)
(*
(* R 2.0)
(atan2
(sqrt (fma t_0 (- 0.5 t_3) (- 0.5 (* 0.5 t_1))))
(sqrt
(+ (+ 0.5 (* 0.5 (cos (* 2.0 (* phi1 0.5))))) (* t_0 (- t_3 0.5))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 (* lambda2 -0.5))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt (- 1.0 (fma t_0 (fma -0.5 t_2 0.5) (fma -0.5 t_1 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((phi1 - phi2));
double t_2 = cos((lambda1 - lambda2));
double t_3 = 0.5 * t_2;
double tmp;
if (phi2 <= -0.02) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((fma(0.5, t_1, 0.5) - (t_0 * (0.5 + (-0.5 * cos(lambda2)))))));
} else if (phi2 <= 6.6e-17) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - t_3), (0.5 - (0.5 * t_1)))), sqrt(((0.5 + (0.5 * cos((2.0 * (phi1 * 0.5))))) + (t_0 * (t_3 - 0.5)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (lambda2 * -0.5)))))), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((1.0 - fma(t_0, fma(-0.5, t_2, 0.5), fma(-0.5, t_1, 0.5)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(phi1 - phi2)) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = Float64(0.5 * t_2) tmp = 0.0 if (phi2 <= -0.02) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(fma(0.5, t_1, 0.5) - Float64(t_0 * Float64(0.5 + Float64(-0.5 * cos(lambda2)))))))); elseif (phi2 <= 6.6e-17) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - t_3), Float64(0.5 - Float64(0.5 * t_1)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(phi1 * 0.5))))) + Float64(t_0 * Float64(t_3 - 0.5)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(lambda2 * -0.5)))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(phi2 - phi1)))))))), sqrt(Float64(1.0 - fma(t_0, fma(-0.5, t_2, 0.5), fma(-0.5, t_1, 0.5)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * t$95$2), $MachinePrecision]}, If[LessEqual[phi2, -0.02], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * t$95$1 + 0.5), $MachinePrecision] - N[(t$95$0 * N[(0.5 + N[(-0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 6.6e-17], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - t$95$3), $MachinePrecision] + N[(0.5 - N[(0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(phi1 * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(t$95$3 - 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 - N[(0.5 * N[Cos[N[(2.0 * N[(lambda2 * -0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * N[(-0.5 * t$95$2 + 0.5), $MachinePrecision] + N[(-0.5 * t$95$1 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := 0.5 \cdot t\_2\\
\mathbf{if}\;\phi_2 \leq -0.02:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_1, 0.5\right) - t\_0 \cdot \left(0.5 + -0.5 \cdot \cos \lambda_2\right)}}\\
\mathbf{elif}\;\phi_2 \leq 6.6 \cdot 10^{-17}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - t\_3, 0.5 - 0.5 \cdot t\_1\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(\phi_1 \cdot 0.5\right)\right)\right) + t\_0 \cdot \left(t\_3 - 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 - 0.5 \cdot \cos \left(2 \cdot \left(\lambda_2 \cdot -0.5\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \mathsf{fma}\left(-0.5, t\_2, 0.5\right), \mathsf{fma}\left(-0.5, t\_1, 0.5\right)\right)}}\\
\end{array}
\end{array}
if phi2 < -0.0200000000000000004Initial program 41.9%
Applied egg-rr41.9%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6432.1
Simplified32.1%
Taylor expanded in lambda1 around 0
cos-negN/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
cos-negN/A
Simplified37.0%
if -0.0200000000000000004 < phi2 < 6.60000000000000001e-17Initial program 77.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6477.4
Applied egg-rr77.4%
Taylor expanded in phi1 around inf
*-lowering-*.f6477.4
Simplified77.4%
Applied egg-rr65.0%
if 6.60000000000000001e-17 < phi2 Initial program 41.2%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified37.0%
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
--lowering--.f6433.4
Applied egg-rr33.4%
Applied egg-rr37.1%
Final simplification48.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- phi1 phi2)))
(t_2 (fma 0.5 t_1 0.5))
(t_3 (cos (- lambda1 lambda2)))
(t_4 (* 0.5 t_3)))
(if (<= phi2 -0.02)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (- t_2 (* t_0 (+ 0.5 (* -0.5 (cos lambda2))))))))
(if (<= phi2 1e-36)
(*
(* R 2.0)
(atan2
(sqrt (fma t_0 (- 0.5 t_4) (- 0.5 (* 0.5 t_1))))
(sqrt
(+ (+ 0.5 (* 0.5 (cos (* 2.0 (* phi1 0.5))))) (* t_0 (- t_4 0.5))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* lambda2 -0.5)))))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt (- t_2 (* t_0 (fma t_3 -0.5 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((phi1 - phi2));
double t_2 = fma(0.5, t_1, 0.5);
double t_3 = cos((lambda1 - lambda2));
double t_4 = 0.5 * t_3;
double tmp;
if (phi2 <= -0.02) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((t_2 - (t_0 * (0.5 + (-0.5 * cos(lambda2)))))));
} else if (phi2 <= 1e-36) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - t_4), (0.5 - (0.5 * t_1)))), sqrt(((0.5 + (0.5 * cos((2.0 * (phi1 * 0.5))))) + (t_0 * (t_4 - 0.5)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (lambda2 * -0.5))))), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((t_2 - (t_0 * fma(t_3, -0.5, 0.5)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(phi1 - phi2)) t_2 = fma(0.5, t_1, 0.5) t_3 = cos(Float64(lambda1 - lambda2)) t_4 = Float64(0.5 * t_3) tmp = 0.0 if (phi2 <= -0.02) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(t_2 - Float64(t_0 * Float64(0.5 + Float64(-0.5 * cos(lambda2)))))))); elseif (phi2 <= 1e-36) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - t_4), Float64(0.5 - Float64(0.5 * t_1)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(phi1 * 0.5))))) + Float64(t_0 * Float64(t_4 - 0.5)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(lambda2 * -0.5))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(phi2 - phi1)))))))), sqrt(Float64(t_2 - Float64(t_0 * fma(t_3, -0.5, 0.5)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * t$95$1 + 0.5), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * t$95$3), $MachinePrecision]}, If[LessEqual[phi2, -0.02], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$2 - N[(t$95$0 * N[(0.5 + N[(-0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 1e-36], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - t$95$4), $MachinePrecision] + N[(0.5 - N[(0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(phi1 * 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * N[(t$95$4 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(lambda2 * -0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$2 - N[(t$95$0 * N[(t$95$3 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
t_2 := \mathsf{fma}\left(0.5, t\_1, 0.5\right)\\
t_3 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_4 := 0.5 \cdot t\_3\\
\mathbf{if}\;\phi_2 \leq -0.02:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{t\_2 - t\_0 \cdot \left(0.5 + -0.5 \cdot \cos \lambda_2\right)}}\\
\mathbf{elif}\;\phi_2 \leq 10^{-36}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - t\_4, 0.5 - 0.5 \cdot t\_1\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(\phi_1 \cdot 0.5\right)\right)\right) + t\_0 \cdot \left(t\_4 - 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\lambda_2 \cdot -0.5\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)\right)\right)}}{\sqrt{t\_2 - t\_0 \cdot \mathsf{fma}\left(t\_3, -0.5, 0.5\right)}}\\
\end{array}
\end{array}
if phi2 < -0.0200000000000000004Initial program 41.9%
Applied egg-rr41.9%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6432.1
Simplified32.1%
Taylor expanded in lambda1 around 0
cos-negN/A
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
cos-negN/A
Simplified37.0%
if -0.0200000000000000004 < phi2 < 9.9999999999999994e-37Initial program 77.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6477.3
Applied egg-rr77.3%
Taylor expanded in phi1 around inf
*-lowering-*.f6477.3
Simplified77.3%
Applied egg-rr65.4%
if 9.9999999999999994e-37 < phi2 Initial program 43.1%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified38.0%
Applied egg-rr38.0%
Final simplification48.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(- 0.5 (+ 0.5 (* -0.5 (fma lambda1 (sin lambda2) (cos lambda2))))))
(t_1
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))))
(if (<= phi2 -0.0015)
(* (* R 2.0) (atan2 t_1 (sqrt (+ 0.5 (* (cos phi2) t_0)))))
(if (<= phi2 0.00046)
(* (* R 2.0) (atan2 t_1 (sqrt (+ 0.5 (* (cos phi1) t_0)))))
(* (* R 2.0) (atan2 t_1 (sqrt (fma 0.5 (cos (- phi1 phi2)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 + (-0.5 * fma(lambda1, sin(lambda2), cos(lambda2))));
double t_1 = sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double tmp;
if (phi2 <= -0.0015) {
tmp = (R * 2.0) * atan2(t_1, sqrt((0.5 + (cos(phi2) * t_0))));
} else if (phi2 <= 0.00046) {
tmp = (R * 2.0) * atan2(t_1, sqrt((0.5 + (cos(phi1) * t_0))));
} else {
tmp = (R * 2.0) * atan2(t_1, sqrt(fma(0.5, cos((phi1 - phi2)), 0.5)));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 + Float64(-0.5 * fma(lambda1, sin(lambda2), cos(lambda2))))) t_1 = sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) tmp = 0.0 if (phi2 <= -0.0015) tmp = Float64(Float64(R * 2.0) * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi2) * t_0))))); elseif (phi2 <= 0.00046) tmp = Float64(Float64(R * 2.0) * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi1) * t_0))))); else tmp = Float64(Float64(R * 2.0) * atan(t_1, sqrt(fma(0.5, cos(Float64(phi1 - phi2)), 0.5)))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 + N[(-0.5 * N[(lambda1 * N[Sin[lambda2], $MachinePrecision] + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -0.0015], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00046], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - \left(0.5 + -0.5 \cdot \mathsf{fma}\left(\lambda_1, \sin \lambda_2, \cos \lambda_2\right)\right)\\
t_1 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
\mathbf{if}\;\phi_2 \leq -0.0015:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_2 \cdot t\_0}}\\
\mathbf{elif}\;\phi_2 \leq 0.00046:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_1 \cdot t\_0}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)}}\\
\end{array}
\end{array}
if phi2 < -0.0015Initial program 41.6%
Applied egg-rr41.6%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6431.7
Simplified31.7%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-negN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified32.3%
if -0.0015 < phi2 < 4.6000000000000001e-4Initial program 78.6%
Applied egg-rr66.7%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6447.3
Simplified47.3%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-negN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6447.4
Simplified47.4%
if 4.6000000000000001e-4 < phi2 Initial program 37.5%
Applied egg-rr37.6%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6425.5
Simplified25.5%
Taylor expanded in lambda2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6427.3
Simplified27.3%
Final simplification37.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))
(t_1
(* (* R 2.0) (atan2 t_0 (sqrt (fma 0.5 (cos (- phi1 phi2)) 0.5))))))
(if (<= phi2 -2.5e-6)
t_1
(if (<= phi2 0.0026)
(*
(* R 2.0)
(atan2
t_0
(sqrt
(+
0.5
(*
(cos phi1)
(-
0.5
(+ 0.5 (* -0.5 (fma lambda1 (sin lambda2) (cos lambda2))))))))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double t_1 = (R * 2.0) * atan2(t_0, sqrt(fma(0.5, cos((phi1 - phi2)), 0.5)));
double tmp;
if (phi2 <= -2.5e-6) {
tmp = t_1;
} else if (phi2 <= 0.0026) {
tmp = (R * 2.0) * atan2(t_0, sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * fma(lambda1, sin(lambda2), cos(lambda2)))))))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) t_1 = Float64(Float64(R * 2.0) * atan(t_0, sqrt(fma(0.5, cos(Float64(phi1 - phi2)), 0.5)))) tmp = 0.0 if (phi2 <= -2.5e-6) tmp = t_1; elseif (phi2 <= 0.0026) tmp = Float64(Float64(R * 2.0) * atan(t_0, sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * fma(lambda1, sin(lambda2), cos(lambda2)))))))))); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$0 / N[Sqrt[N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -2.5e-6], t$95$1, If[LessEqual[phi2, 0.0026], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$0 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[(lambda1 * N[Sin[lambda2], $MachinePrecision] + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)}}\\
\mathbf{if}\;\phi_2 \leq -2.5 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_2 \leq 0.0026:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \mathsf{fma}\left(\lambda_1, \sin \lambda_2, \cos \lambda_2\right)\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi2 < -2.5000000000000002e-6 or 0.0025999999999999999 < phi2 Initial program 39.6%
Applied egg-rr39.7%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6428.8
Simplified28.8%
Taylor expanded in lambda2 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6427.8
Simplified27.8%
if -2.5000000000000002e-6 < phi2 < 0.0025999999999999999Initial program 78.6%
Applied egg-rr66.7%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6447.3
Simplified47.3%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-negN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-negN/A
cos-lowering-cos.f6447.4
Simplified47.4%
Final simplification36.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2))))
(*
R
(*
2.0
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt
(/
(+
(+ 1.0 t_0)
(*
(+ t_0 (cos (+ phi1 phi2)))
(- (* 0.5 (cos (- lambda1 lambda2))) 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
return R * (2.0 * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((((1.0 + t_0) + ((t_0 + cos((phi1 + phi2))) * ((0.5 * cos((lambda1 - lambda2))) - 0.5))) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = cos((phi1 - phi2))
code = r * (2.0d0 * atan2(sin(((-0.5d0) * (phi2 - phi1))), sqrt((((1.0d0 + t_0) + ((t_0 + cos((phi1 + phi2))) * ((0.5d0 * cos((lambda1 - lambda2))) - 0.5d0))) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((phi1 - phi2));
return R * (2.0 * Math.atan2(Math.sin((-0.5 * (phi2 - phi1))), Math.sqrt((((1.0 + t_0) + ((t_0 + Math.cos((phi1 + phi2))) * ((0.5 * Math.cos((lambda1 - lambda2))) - 0.5))) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((phi1 - phi2)) return R * (2.0 * math.atan2(math.sin((-0.5 * (phi2 - phi1))), math.sqrt((((1.0 + t_0) + ((t_0 + math.cos((phi1 + phi2))) * ((0.5 * math.cos((lambda1 - lambda2))) - 0.5))) / 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) return Float64(R * Float64(2.0 * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(Float64(Float64(Float64(1.0 + t_0) + Float64(Float64(t_0 + cos(Float64(phi1 + phi2))) * Float64(Float64(0.5 * cos(Float64(lambda1 - lambda2))) - 0.5))) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((phi1 - phi2)); tmp = R * (2.0 * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((((1.0 + t_0) + ((t_0 + cos((phi1 + phi2))) * ((0.5 * cos((lambda1 - lambda2))) - 0.5))) / 2.0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $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[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 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)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{\frac{\left(1 + t\_0\right) + \left(t\_0 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \left(0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right) - 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 56.2%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified45.2%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6413.6
Simplified13.6%
Applied egg-rr13.8%
Final simplification13.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(* (cos phi1) (cos phi2))
(- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - ((cos(phi1) * cos(phi2)) * (0.5 - (0.5 * cos((lambda1 - lambda2))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(Float64(cos(phi1) * cos(phi2)) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}}
\end{array}
Initial program 56.2%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified45.2%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6413.6
Simplified13.6%
Applied egg-rr13.6%
Final simplification13.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt
(fma
(cos (- phi1 phi2))
0.5
(-
0.5
(*
(* (cos phi1) (cos phi2))
(fma -0.5 (cos (- lambda1 lambda2)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt(fma(cos((phi1 - phi2)), 0.5, (0.5 - ((cos(phi1) * cos(phi2)) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(fma(cos(Float64(phi1 - phi2)), 0.5, Float64(0.5 - Float64(Float64(cos(phi1) * cos(phi2)) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(0.5 - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{\mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), 0.5, 0.5 - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)}}
\end{array}
Initial program 56.2%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified45.2%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6413.6
Simplified13.6%
Applied egg-rr13.6%
Applied egg-rr13.6%
Final simplification13.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* (* (cos phi1) (cos phi2)) (+ 0.5 (* -0.5 (cos lambda2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - ((cos(phi1) * cos(phi2)) * (0.5 + (-0.5 * cos(lambda2)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(Float64(cos(phi1) * cos(phi2)) * Float64(0.5 + Float64(-0.5 * cos(lambda2)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 + -0.5 \cdot \cos \lambda_2\right)}}
\end{array}
Initial program 56.2%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified45.2%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6413.6
Simplified13.6%
Applied egg-rr13.6%
Taylor expanded in lambda1 around 0
--lowering--.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
cos-negN/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-negN/A
cos-lowering-cos.f6413.6
Simplified13.6%
Final simplification13.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt
(+
0.5
(* (cos phi2) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((0.5 + (cos(phi2) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
}
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(sin(((-0.5d0) * (phi2 - phi1))), sqrt((0.5d0 + (cos(phi2) * (0.5d0 - (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sin((-0.5 * (phi2 - phi1))), Math.sqrt((0.5 + (Math.cos(phi2) * (0.5 - (0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sin((-0.5 * (phi2 - phi1))), math.sqrt((0.5 + (math.cos(phi2) * (0.5 - (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((0.5 + (cos(phi2) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}
\end{array}
Initial program 56.2%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified45.2%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6413.6
Simplified13.6%
Applied egg-rr13.6%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6412.4
Simplified12.4%
Final simplification12.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
}
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(sin(((-0.5d0) * (phi2 - phi1))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * Math.atan2(Math.sin((-0.5 * (phi2 - phi1))), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - (0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (R * 2.0) * math.atan2(math.sin((-0.5 * (phi2 - phi1))), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (R * 2.0) * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}
\end{array}
Initial program 56.2%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified45.2%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6413.6
Simplified13.6%
Applied egg-rr13.6%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6411.5
Simplified11.5%
Final simplification11.5%
herbie shell --seed 2024198
(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))))))))))