
(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 27 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_2 (cos (* -0.5 phi2)) t_0) 2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(-
1.0
(+
(* (cos phi2) (* (cos phi1) (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))
(pow (fma t_2 (cos (* 0.5 phi2)) t_0) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5)) * sin((-0.5 * phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow(fma(t_2, cos((-0.5 * phi2)), t_0), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((1.0 - ((cos(phi2) * (cos(phi1) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))) + pow(fma(t_2, cos((0.5 * phi2)), t_0), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_2, cos(Float64(-0.5 * phi2)), t_0) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(1.0 - Float64(Float64(cos(phi2) * Float64(cos(phi1) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))) + (fma(t_2, cos(Float64(0.5 * phi2)), t_0) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$2 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$0), $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[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$2 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-0.5 \cdot \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sin \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_2, \cos \left(-0.5 \cdot \phi_2\right), t\_0\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{1 - \left(\cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right) + {\left(\mathsf{fma}\left(t\_2, \cos \left(0.5 \cdot \phi_2\right), t\_0\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 63.5%
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-*.f6464.5
Applied egg-rr64.5%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6476.4
Applied egg-rr76.4%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr76.4%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
sqr-sin-aN/A
sub-negN/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
Applied egg-rr76.4%
Final simplification76.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* t_1 (* (* (cos phi1) (cos phi2)) t_1)))
(t_3 (+ t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_4 (* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
(t_5 (sqrt (- 1.0 (+ t_2 (pow (fma t_0 (cos (* 0.5 phi2)) t_4) 2.0)))))
(t_6 (pow (fma t_0 (cos (* -0.5 phi2)) t_4) 2.0)))
(if (<= (atan2 (sqrt t_3) (sqrt (- 1.0 t_3))) 0.077)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_6 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
t_5)))
(*
R
(*
2.0
(atan2
(sqrt
(+
t_6
(*
(cos phi2)
(* (cos phi1) (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))))
t_5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * ((cos(phi1) * cos(phi2)) * t_1);
double t_3 = t_2 + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = cos((phi1 * 0.5)) * sin((-0.5 * phi2));
double t_5 = sqrt((1.0 - (t_2 + pow(fma(t_0, cos((0.5 * phi2)), t_4), 2.0))));
double t_6 = pow(fma(t_0, cos((-0.5 * phi2)), t_4), 2.0);
double tmp;
if (atan2(sqrt(t_3), sqrt((1.0 - t_3))) <= 0.077) {
tmp = R * (2.0 * atan2(sqrt((t_6 + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), t_5));
} else {
tmp = R * (2.0 * atan2(sqrt((t_6 + (cos(phi2) * (cos(phi1) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))), t_5));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) t_3 = Float64(t_2 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_4 = Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2))) t_5 = sqrt(Float64(1.0 - Float64(t_2 + (fma(t_0, cos(Float64(0.5 * phi2)), t_4) ^ 2.0)))) t_6 = fma(t_0, cos(Float64(-0.5 * phi2)), t_4) ^ 2.0 tmp = 0.0 if (atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))) <= 0.077) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_6 + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), t_5))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_6 + Float64(cos(phi2) * Float64(cos(phi1) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))), 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[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 - N[(t$95$2 + N[Power[N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Power[N[(t$95$0 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$4), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.077], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$6 + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$6 + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)\\
t_3 := t\_2 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-0.5 \cdot \phi_2\right)\\
t_5 := \sqrt{1 - \left(t\_2 + {\left(\mathsf{fma}\left(t\_0, \cos \left(0.5 \cdot \phi_2\right), t\_4\right)\right)}^{2}\right)}\\
t_6 := {\left(\mathsf{fma}\left(t\_0, \cos \left(-0.5 \cdot \phi_2\right), t\_4\right)\right)}^{2}\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}} \leq 0.077:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6 + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{t\_5}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6 + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)}}{t\_5}\right)\\
\end{array}
\end{array}
if (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) < 0.076999999999999999Initial program 95.7%
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-*.f6495.7
Applied egg-rr95.7%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6499.9
Applied egg-rr99.9%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr99.9%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6499.9
Simplified99.9%
if 0.076999999999999999 < (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) Initial program 60.8%
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-*.f6461.8
Applied egg-rr61.8%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6474.4
Applied egg-rr74.4%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr74.4%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
sqr-sin-aN/A
sub-negN/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
Applied egg-rr74.4%
Final simplification76.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (cos t_0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* (* (cos phi1) (cos phi2)) t_3)))
(t_5 (+ t_4 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))))
(if (<= (atan2 (sqrt t_5) (sqrt (- 1.0 t_5))) 0.26)
(*
R
(*
2.0
(atan2
(sqrt (+ t_4 (pow (sin (/ -1.0 (/ 2.0 (- phi2 phi1)))) 2.0)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* (cos phi1) (* (cos phi2) (fma -0.5 t_1 0.5))))))))
(*
(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 t_0))))))
(sqrt
(fma
t_2
t_2
(* (* (cos phi1) (- 0.0 (cos phi2))) (fma t_1 -0.5 0.5)))))
(* R 2.0)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = cos(t_0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * ((cos(phi1) * cos(phi2)) * t_3);
double t_5 = t_4 + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if (atan2(sqrt(t_5), sqrt((1.0 - t_5))) <= 0.26) {
tmp = R * (2.0 * atan2(sqrt((t_4 + pow(sin((-1.0 / (2.0 / (phi2 - phi1)))), 2.0))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi1) * (cos(phi2) * fma(-0.5, t_1, 0.5)))))));
} else {
tmp = 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 * t_0)))))), sqrt(fma(t_2, t_2, ((cos(phi1) * (0.0 - cos(phi2))) * fma(t_1, -0.5, 0.5))))) * (R * 2.0);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = cos(t_0) 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_4 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) tmp = 0.0 if (atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))) <= 0.26) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + (sin(Float64(-1.0 / Float64(2.0 / Float64(phi2 - phi1)))) ^ 2.0))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.5, t_1, 0.5)))))))); else tmp = Float64(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 * t_0)))))), sqrt(fma(t_2, t_2, Float64(Float64(cos(phi1) * Float64(0.0 - cos(phi2))) * fma(t_1, -0.5, 0.5))))) * Float64(R * 2.0)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[t$95$0], $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[(t$95$4 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.26], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[Power[N[Sin[N[(-1.0 / N[(2.0 / N[(phi2 - phi1), $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[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * t$95$1 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(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 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$2 * t$95$2 + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(0.0 - N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos t\_0\\
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 := t\_4 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}} \leq 0.26:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + {\sin \left(\frac{-1}{\frac{2}{\phi_2 - \phi_1}}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.5, t\_1, 0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\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 t\_0\right)\right)}}{\sqrt{\mathsf{fma}\left(t\_2, t\_2, \left(\cos \phi_1 \cdot \left(0 - \cos \phi_2\right)\right) \cdot \mathsf{fma}\left(t\_1, -0.5, 0.5\right)\right)}} \cdot \left(R \cdot 2\right)\\
\end{array}
\end{array}
if (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) < 0.26000000000000001Initial program 84.9%
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
--lowering--.f6485.1
Applied egg-rr85.1%
Applied egg-rr85.1%
if 0.26000000000000001 < (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) Initial program 59.6%
Applied egg-rr59.8%
Applied egg-rr59.9%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
(t_2 (pow (fma t_0 (cos (* -0.5 phi2)) t_1) 2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* (* (cos phi1) (cos phi2)) t_3)))
(t_5 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_6 (* (cos phi2) t_5))
(t_7 (pow (fma t_0 (cos (* 0.5 phi2)) t_1) 2.0))
(t_8 (sqrt (- 1.0 (+ t_4 t_7)))))
(if (<= phi2 -0.35)
(* R (* 2.0 (atan2 (sqrt (+ t_2 t_6)) t_8)))
(if (<= phi2 4.8e-5)
(* R (* 2.0 (atan2 (sqrt (+ t_2 (* (cos phi1) t_5))) t_8)))
(* R (* 2.0 (atan2 (sqrt (+ t_2 t_4)) (sqrt (- 1.0 (+ t_6 t_7))))))))))
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)) * sin((-0.5 * phi2));
double t_2 = pow(fma(t_0, cos((-0.5 * phi2)), t_1), 2.0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * ((cos(phi1) * cos(phi2)) * t_3);
double t_5 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_6 = cos(phi2) * t_5;
double t_7 = pow(fma(t_0, cos((0.5 * phi2)), t_1), 2.0);
double t_8 = sqrt((1.0 - (t_4 + t_7)));
double tmp;
if (phi2 <= -0.35) {
tmp = R * (2.0 * atan2(sqrt((t_2 + t_6)), t_8));
} else if (phi2 <= 4.8e-5) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * t_5))), t_8));
} else {
tmp = R * (2.0 * atan2(sqrt((t_2 + t_4)), sqrt((1.0 - (t_6 + t_7)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2))) t_2 = fma(t_0, cos(Float64(-0.5 * phi2)), t_1) ^ 2.0 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 * Float64(lambda1 - lambda2))) ^ 2.0 t_6 = Float64(cos(phi2) * t_5) t_7 = fma(t_0, cos(Float64(0.5 * phi2)), t_1) ^ 2.0 t_8 = sqrt(Float64(1.0 - Float64(t_4 + t_7))) tmp = 0.0 if (phi2 <= -0.35) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + t_6)), t_8))); elseif (phi2 <= 4.8e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(cos(phi1) * t_5))), t_8))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + t_4)), sqrt(Float64(1.0 - Float64(t_6 + t_7)))))); 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[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(t$95$0 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision], 2.0], $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[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$6 = N[(N[Cos[phi2], $MachinePrecision] * t$95$5), $MachinePrecision]}, Block[{t$95$7 = N[Power[N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$8 = N[Sqrt[N[(1.0 - N[(t$95$4 + t$95$7), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -0.35], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + t$95$6), $MachinePrecision]], $MachinePrecision] / t$95$8], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 4.8e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Cos[phi1], $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$8], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$6 + t$95$7), $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) \cdot \sin \left(-0.5 \cdot \phi_2\right)\\
t_2 := {\left(\mathsf{fma}\left(t\_0, \cos \left(-0.5 \cdot \phi_2\right), t\_1\right)\right)}^{2}\\
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 \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_6 := \cos \phi_2 \cdot t\_5\\
t_7 := {\left(\mathsf{fma}\left(t\_0, \cos \left(0.5 \cdot \phi_2\right), t\_1\right)\right)}^{2}\\
t_8 := \sqrt{1 - \left(t\_4 + t\_7\right)}\\
\mathbf{if}\;\phi_2 \leq -0.35:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + t\_6}}{t\_8}\right)\\
\mathbf{elif}\;\phi_2 \leq 4.8 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \cos \phi_1 \cdot t\_5}}{t\_8}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + t\_4}}{\sqrt{1 - \left(t\_6 + t\_7\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -0.34999999999999998Initial program 45.7%
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-*.f6447.3
Applied egg-rr47.3%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6475.9
Applied egg-rr75.9%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr75.9%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6458.3
Simplified58.3%
if -0.34999999999999998 < phi2 < 4.8000000000000001e-5Initial program 74.5%
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-*.f6474.5
Applied egg-rr74.5%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6474.9
Applied egg-rr74.9%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr74.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6474.8
Simplified74.8%
if 4.8000000000000001e-5 < phi2 Initial program 54.3%
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-*.f6456.8
Applied egg-rr56.8%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6480.3
Applied egg-rr80.3%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr80.3%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6464.6
Simplified64.6%
Final simplification68.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
(t_2 (pow (fma t_0 (cos (* -0.5 phi2)) t_1) 2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* (* (cos phi1) (cos phi2)) t_3)))
(t_5 (sqrt (+ t_2 t_4)))
(t_6 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_7 (* (cos phi2) t_6))
(t_8 (pow (fma t_0 (cos (* 0.5 phi2)) t_1) 2.0)))
(if (<= phi2 -0.35)
(* R (* 2.0 (atan2 (sqrt (+ t_2 t_7)) (sqrt (- 1.0 (+ t_4 t_8))))))
(if (<= phi2 0.0033)
(* R (* 2.0 (atan2 t_5 (sqrt (- 1.0 (+ (* (cos phi1) t_6) t_8))))))
(* R (* 2.0 (atan2 t_5 (sqrt (- 1.0 (+ t_7 t_8))))))))))
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)) * sin((-0.5 * phi2));
double t_2 = pow(fma(t_0, cos((-0.5 * phi2)), t_1), 2.0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * ((cos(phi1) * cos(phi2)) * t_3);
double t_5 = sqrt((t_2 + t_4));
double t_6 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_7 = cos(phi2) * t_6;
double t_8 = pow(fma(t_0, cos((0.5 * phi2)), t_1), 2.0);
double tmp;
if (phi2 <= -0.35) {
tmp = R * (2.0 * atan2(sqrt((t_2 + t_7)), sqrt((1.0 - (t_4 + t_8)))));
} else if (phi2 <= 0.0033) {
tmp = R * (2.0 * atan2(t_5, sqrt((1.0 - ((cos(phi1) * t_6) + t_8)))));
} else {
tmp = R * (2.0 * atan2(t_5, sqrt((1.0 - (t_7 + t_8)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2))) t_2 = fma(t_0, cos(Float64(-0.5 * phi2)), t_1) ^ 2.0 t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)) t_5 = sqrt(Float64(t_2 + t_4)) t_6 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_7 = Float64(cos(phi2) * t_6) t_8 = fma(t_0, cos(Float64(0.5 * phi2)), t_1) ^ 2.0 tmp = 0.0 if (phi2 <= -0.35) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + t_7)), sqrt(Float64(1.0 - Float64(t_4 + t_8)))))); elseif (phi2 <= 0.0033) tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(1.0 - Float64(Float64(cos(phi1) * t_6) + t_8)))))); else tmp = Float64(R * Float64(2.0 * atan(t_5, sqrt(Float64(1.0 - Float64(t_7 + t_8)))))); 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[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(t$95$0 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision], 2.0], $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[Sqrt[N[(t$95$2 + t$95$4), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$7 = N[(N[Cos[phi2], $MachinePrecision] * t$95$6), $MachinePrecision]}, Block[{t$95$8 = N[Power[N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$1), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi2, -0.35], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 + t$95$8), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.0033], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$6), $MachinePrecision] + t$95$8), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$5 / N[Sqrt[N[(1.0 - N[(t$95$7 + t$95$8), $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) \cdot \sin \left(-0.5 \cdot \phi_2\right)\\
t_2 := {\left(\mathsf{fma}\left(t\_0, \cos \left(-0.5 \cdot \phi_2\right), t\_1\right)\right)}^{2}\\
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 := \sqrt{t\_2 + t\_4}\\
t_6 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_7 := \cos \phi_2 \cdot t\_6\\
t_8 := {\left(\mathsf{fma}\left(t\_0, \cos \left(0.5 \cdot \phi_2\right), t\_1\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -0.35:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + t\_7}}{\sqrt{1 - \left(t\_4 + t\_8\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.0033:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \left(\cos \phi_1 \cdot t\_6 + t\_8\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_5}{\sqrt{1 - \left(t\_7 + t\_8\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -0.34999999999999998Initial program 45.7%
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-*.f6447.3
Applied egg-rr47.3%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6475.9
Applied egg-rr75.9%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr75.9%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6458.3
Simplified58.3%
if -0.34999999999999998 < phi2 < 0.0033Initial program 74.5%
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-*.f6474.5
Applied egg-rr74.5%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6474.9
Applied egg-rr74.9%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr74.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6474.8
Simplified74.8%
if 0.0033 < phi2 Initial program 54.3%
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-*.f6456.8
Applied egg-rr56.8%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6480.3
Applied egg-rr80.3%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr80.3%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6464.6
Simplified64.6%
Final simplification68.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* 0.5 (- lambda1 lambda2)))
(t_2 (cos (* 0.5 (- phi1 phi2))))
(t_3 (* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
(t_4 (pow (fma t_0 (cos (* 0.5 phi2)) t_3) 2.0))
(t_5 (pow (fma t_0 (cos (* -0.5 phi2)) t_3) 2.0))
(t_6 (sin (/ (- lambda1 lambda2) 2.0)))
(t_7 (* (cos phi2) (pow (sin t_1) 2.0)))
(t_8 (* (cos phi1) (cos phi2)))
(t_9 (* t_6 (* t_8 t_6))))
(if (<= phi2 -5.5e+17)
(* R (* 2.0 (atan2 (sqrt (+ t_5 t_7)) (sqrt (- 1.0 (+ t_9 t_4))))))
(if (<= phi2 0.125)
(*
R
(*
2.0
(atan2
(sqrt (+ t_9 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (fma t_2 t_2 (* t_8 (- (* 0.5 (cos (* 2.0 t_1))) 0.5)))))))
(* R (* 2.0 (atan2 (sqrt (+ t_5 t_9)) (sqrt (- 1.0 (+ t_7 t_4))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = 0.5 * (lambda1 - lambda2);
double t_2 = cos((0.5 * (phi1 - phi2)));
double t_3 = cos((phi1 * 0.5)) * sin((-0.5 * phi2));
double t_4 = pow(fma(t_0, cos((0.5 * phi2)), t_3), 2.0);
double t_5 = pow(fma(t_0, cos((-0.5 * phi2)), t_3), 2.0);
double t_6 = sin(((lambda1 - lambda2) / 2.0));
double t_7 = cos(phi2) * pow(sin(t_1), 2.0);
double t_8 = cos(phi1) * cos(phi2);
double t_9 = t_6 * (t_8 * t_6);
double tmp;
if (phi2 <= -5.5e+17) {
tmp = R * (2.0 * atan2(sqrt((t_5 + t_7)), sqrt((1.0 - (t_9 + t_4)))));
} else if (phi2 <= 0.125) {
tmp = R * (2.0 * atan2(sqrt((t_9 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(fma(t_2, t_2, (t_8 * ((0.5 * cos((2.0 * t_1))) - 0.5))))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_5 + t_9)), sqrt((1.0 - (t_7 + t_4)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = Float64(0.5 * Float64(lambda1 - lambda2)) t_2 = cos(Float64(0.5 * Float64(phi1 - phi2))) t_3 = Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2))) t_4 = fma(t_0, cos(Float64(0.5 * phi2)), t_3) ^ 2.0 t_5 = fma(t_0, cos(Float64(-0.5 * phi2)), t_3) ^ 2.0 t_6 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_7 = Float64(cos(phi2) * (sin(t_1) ^ 2.0)) t_8 = Float64(cos(phi1) * cos(phi2)) t_9 = Float64(t_6 * Float64(t_8 * t_6)) tmp = 0.0 if (phi2 <= -5.5e+17) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + t_7)), sqrt(Float64(1.0 - Float64(t_9 + t_4)))))); elseif (phi2 <= 0.125) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_9 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(fma(t_2, t_2, Float64(t_8 * Float64(Float64(0.5 * cos(Float64(2.0 * t_1))) - 0.5))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + t_9)), sqrt(Float64(1.0 - Float64(t_7 + t_4)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(t$95$0 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$6 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$8 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$9 = N[(t$95$6 * N[(t$95$8 * t$95$6), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -5.5e+17], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + t$95$7), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$9 + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.125], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$9 + 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$8 * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + t$95$9), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$7 + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-0.5 \cdot \phi_2\right)\\
t_4 := {\left(\mathsf{fma}\left(t\_0, \cos \left(0.5 \cdot \phi_2\right), t\_3\right)\right)}^{2}\\
t_5 := {\left(\mathsf{fma}\left(t\_0, \cos \left(-0.5 \cdot \phi_2\right), t\_3\right)\right)}^{2}\\
t_6 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_7 := \cos \phi_2 \cdot {\sin t\_1}^{2}\\
t_8 := \cos \phi_1 \cdot \cos \phi_2\\
t_9 := t\_6 \cdot \left(t\_8 \cdot t\_6\right)\\
\mathbf{if}\;\phi_2 \leq -5.5 \cdot 10^{+17}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + t\_7}}{\sqrt{1 - \left(t\_9 + t\_4\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.125:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_9 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(t\_2, t\_2, t\_8 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_1\right) - 0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + t\_9}}{\sqrt{1 - \left(t\_7 + t\_4\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -5.5e17Initial program 43.6%
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-*.f6445.4
Applied egg-rr45.4%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6475.0
Applied egg-rr75.0%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr75.0%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6456.7
Simplified56.7%
if -5.5e17 < phi2 < 0.125Initial program 74.9%
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-rr75.0%
if 0.125 < phi2 Initial program 54.3%
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-*.f6456.8
Applied egg-rr56.8%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6480.3
Applied egg-rr80.3%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr80.3%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6464.6
Simplified64.6%
Final simplification68.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
(t_3 (pow (fma t_0 (cos (* -0.5 phi2)) t_2) 2.0))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (* t_4 (* t_1 t_4)))
(t_6
(*
R
(*
2.0
(atan2
(sqrt
(+
t_3
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(sqrt
(- 1.0 (+ t_5 (pow (fma t_0 (cos (* 0.5 phi2)) t_2) 2.0)))))))))
(if (<= phi2 -7.5e+18)
t_6
(if (<= phi2 205000000000.0)
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 t_5))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_1 (fma -0.5 (cos (- lambda1 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(phi1) * cos(phi2);
double t_2 = cos((phi1 * 0.5)) * sin((-0.5 * phi2));
double t_3 = pow(fma(t_0, cos((-0.5 * phi2)), t_2), 2.0);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = t_4 * (t_1 * t_4);
double t_6 = R * (2.0 * atan2(sqrt((t_3 + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), sqrt((1.0 - (t_5 + pow(fma(t_0, cos((0.5 * phi2)), t_2), 2.0))))));
double tmp;
if (phi2 <= -7.5e+18) {
tmp = t_6;
} else if (phi2 <= 205000000000.0) {
tmp = R * (2.0 * atan2(sqrt((t_3 + t_5)), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_1 * fma(-0.5, cos((lambda1 - 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(phi1) * cos(phi2)) t_2 = Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2))) t_3 = fma(t_0, cos(Float64(-0.5 * phi2)), t_2) ^ 2.0 t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64(t_4 * Float64(t_1 * t_4)) t_6 = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), sqrt(Float64(1.0 - Float64(t_5 + (fma(t_0, cos(Float64(0.5 * phi2)), t_2) ^ 2.0))))))) tmp = 0.0 if (phi2 <= -7.5e+18) tmp = t_6; elseif (phi2 <= 205000000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + t_5)), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_1 * fma(-0.5, cos(Float64(lambda1 - 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[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(t$95$0 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 * N[(t$95$1 * t$95$4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$5 + N[Power[N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$2), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.5e+18], t$95$6, If[LessEqual[phi2, 205000000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$1 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $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 \phi_1 \cdot \cos \phi_2\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-0.5 \cdot \phi_2\right)\\
t_3 := {\left(\mathsf{fma}\left(t\_0, \cos \left(-0.5 \cdot \phi_2\right), t\_2\right)\right)}^{2}\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := t\_4 \cdot \left(t\_1 \cdot t\_4\right)\\
t_6 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_5 + {\left(\mathsf{fma}\left(t\_0, \cos \left(0.5 \cdot \phi_2\right), t\_2\right)\right)}^{2}\right)}}\right)\\
\mathbf{if}\;\phi_2 \leq -7.5 \cdot 10^{+18}:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\phi_2 \leq 205000000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + t\_5}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_1 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if phi2 < -7.5e18 or 2.05e11 < phi2 Initial program 50.4%
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-*.f6452.6
Applied egg-rr52.6%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6479.2
Applied egg-rr79.2%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr79.2%
Taylor expanded in phi1 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6461.7
Simplified61.7%
if -7.5e18 < phi2 < 2.05e11Initial program 73.4%
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-*.f6473.4
Applied egg-rr73.4%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6474.3
Applied egg-rr74.3%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr74.3%
Applied egg-rr73.6%
Final simplification68.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3 (* 0.5 (- lambda1 lambda2))))
(if (<= t_2 5e-49)
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt (- 1.0 (pow (sin (* -0.5 (- phi2 phi1))) 2.0))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_3) 2.0)) t_0))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_3)))))
t_0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = 0.5 * (lambda1 - lambda2);
double tmp;
if (t_2 <= 5e-49) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - pow(sin((-0.5 * (phi2 - phi1))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_3), 2.0)), t_0)), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_3))))), t_0))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = Float64(0.5 * Float64(lambda1 - lambda2)) tmp = 0.0 if (t_2 <= 5e-49) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_3) ^ 2.0)), t_0)), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_3))))), t_0))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 5e-49], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $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$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;t\_2 \leq 5 \cdot 10^{-49}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_3}^{2}, t\_0\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right), t\_0\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))))) < 4.9999999999999999e-49Initial program 83.3%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified83.3%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6483.3
Simplified83.3%
if 4.9999999999999999e-49 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.5%
Applied egg-rr61.4%
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--.f6462.6
Applied egg-rr62.6%
Final simplification63.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))))
(if (<= t_2 1e-16)
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt (- 1.0 (pow (sin (* -0.5 (- phi2 phi1))) 2.0))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_3 (pow (sin t_0) 2.0)))
(sqrt
(- 1.0 (fma (cos phi1) t_3 (- 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 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double tmp;
if (t_2 <= 1e-16) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - pow(sin((-0.5 * (phi2 - phi1))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_3, pow(sin(t_0), 2.0))), sqrt((1.0 - fma(cos(phi1), t_3, (0.5 - (0.5 * cos((2.0 * t_0))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) tmp = 0.0 if (t_2 <= 1e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_3, (sin(t_0) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi1), t_3, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(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]}, If[LessEqual[t$95$2, 1e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$3 + 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$3 + 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 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \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)\\
\mathbf{if}\;t\_2 \leq 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_3, {\sin t\_0}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_3, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 9.9999999999999998e-17Initial program 86.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified86.7%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6486.7
Simplified86.7%
if 9.9999999999999998e-17 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.1%
Applied egg-rr62.0%
sqr-sin-aN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-diffN/A
distribute-rgt-out--N/A
*-commutativeN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6462.1
Applied egg-rr62.1%
Final simplification63.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* t_0 (* (* (cos phi1) (cos phi2)) t_0))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(+
t_1
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0);
return R * (2.0 * atan2(sqrt((t_1 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (t_1 + pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 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 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0)
code = r * (2.0d0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (t_1 + (((sin((phi1 * 0.5d0)) * cos((0.5d0 * phi2))) - (cos((phi1 * 0.5d0)) * sin((0.5d0 * phi2)))) ** 2.0d0))))))
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 = t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - (t_1 + Math.pow(((Math.sin((phi1 * 0.5)) * Math.cos((0.5 * phi2))) - (Math.cos((phi1 * 0.5)) * Math.sin((0.5 * phi2)))), 2.0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0) return R * (2.0 * math.atan2(math.sqrt((t_1 + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - (t_1 + math.pow(((math.sin((phi1 * 0.5)) * math.cos((0.5 * phi2))) - (math.cos((phi1 * 0.5)) * math.sin((0.5 * phi2)))), 2.0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_1 + (Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0); tmp = R * (2.0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (t_1 + (((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))) ^ 2.0)))))); 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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \left(t\_1 + {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 63.5%
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-*.f6464.5
Applied egg-rr64.5%
Final simplification64.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3
(fma
t_0
(fma -0.5 (cos (- lambda1 lambda2)) 0.5)
(fma -0.5 (cos (- phi1 phi2)) 0.5))))
(if (<= t_2 1e-16)
(*
R
(*
2.0
(atan2
(sqrt t_2)
(sqrt (- 1.0 (pow (sin (* -0.5 (- phi2 phi1))) 2.0))))))
(* (* R 2.0) (atan2 (sqrt t_3) (sqrt (- 1.0 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(((lambda1 - lambda2) / 2.0));
double t_2 = (t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma(t_0, fma(-0.5, cos((lambda1 - lambda2)), 0.5), fma(-0.5, cos((phi1 - phi2)), 0.5));
double tmp;
if (t_2 <= 1e-16) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - pow(sin((-0.5 * (phi2 - phi1))), 2.0)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(t_3), sqrt((1.0 - t_3)));
}
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)) t_2 = Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = fma(t_0, fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5), fma(-0.5, cos(Float64(phi1 - phi2)), 0.5)) tmp = 0.0 if (t_2 <= 1e-16) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(t_3), sqrt(Float64(1.0 - 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[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = 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]}, Block[{t$95$3 = N[(t$95$0 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, 1e-16], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $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 := t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \mathsf{fma}\left(t\_0, \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right), \mathsf{fma}\left(-0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\right)\\
\mathbf{if}\;t\_2 \leq 10^{-16}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - 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))))) < 9.9999999999999998e-17Initial program 86.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
Simplified86.7%
Taylor expanded in lambda2 around 0
--lowering--.f64N/A
sub-negN/A
mul-1-negN/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6486.7
Simplified86.7%
if 9.9999999999999998e-17 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.1%
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-*.f6463.1
Applied egg-rr63.1%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6474.9
Applied egg-rr74.9%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr74.9%
Applied egg-rr62.0%
Final simplification63.5%
(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 (- lambda1 lambda2)))
(t_3 (fma t_0 (fma -0.5 t_2 0.5) (fma -0.5 (cos (- phi1 phi2)) 0.5))))
(if (<= (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 0.002)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_2))))))))
(* (* R 2.0) (atan2 (sqrt t_3) (sqrt (- 1.0 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(((lambda1 - lambda2) / 2.0));
double t_2 = cos((lambda1 - lambda2));
double t_3 = fma(t_0, fma(-0.5, t_2, 0.5), fma(-0.5, cos((phi1 - phi2)), 0.5));
double tmp;
if (((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.002) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_2)))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(t_3), sqrt((1.0 - t_3)));
}
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)) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = fma(t_0, fma(-0.5, t_2, 0.5), fma(-0.5, cos(Float64(phi1 - phi2)), 0.5)) tmp = 0.0 if (Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.002) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_2)))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(t_3), sqrt(Float64(1.0 - 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[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * N[(-0.5 * t$95$2 + 0.5), $MachinePrecision] + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $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], 0.002], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $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(\lambda_1 - \lambda_2\right)\\
t_3 := \mathsf{fma}\left(t\_0, \mathsf{fma}\left(-0.5, t\_2, 0.5\right), \mathsf{fma}\left(-0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\right)\\
\mathbf{if}\;t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.002:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_2\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - 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))))) < 2e-3Initial program 84.1%
Applied egg-rr18.1%
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--.f6418.1
Simplified18.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6419.4
Simplified19.4%
*-commutativeN/A
distribute-rgt-out--N/A
sqr-sin-aN/A
sin-diffN/A
sin-diffN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-diffN/A
sin-lowering-sin.f64N/A
distribute-rgt-out--N/A
*-lowering-*.f64N/A
--lowering--.f6452.8
Applied egg-rr52.8%
if 2e-3 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.9%
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-*.f6463.0
Applied egg-rr63.0%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6474.6
Applied egg-rr74.6%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr74.6%
Applied egg-rr62.0%
Final simplification61.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(fma
(sin (* phi1 0.5))
(cos (* -0.5 phi2))
(* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
2.0)
(* t_1 (* t_0 t_1))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(fma(sin((phi1 * 0.5)), cos((-0.5 * phi2)), (cos((phi1 * 0.5)) * sin((-0.5 * phi2)))), 2.0) + (t_1 * (t_0 * t_1)))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(sin(Float64(phi1 * 0.5)), cos(Float64(-0.5 * phi2)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2)))) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(-0.5 \cdot \phi_2\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-0.5 \cdot \phi_2\right)\right)\right)}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 63.5%
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-*.f6464.5
Applied egg-rr64.5%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/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-*.f6476.4
Applied egg-rr76.4%
sin-diffN/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr76.4%
Applied egg-rr64.1%
Final simplification64.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* (* (cos phi1) (cos phi2)) t_1)) t_0))
(sqrt
(+
(-
(/
(*
(+ (cos (+ phi1 phi2)) (cos (- phi1 phi2)))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5))
2.0)
t_0)
1.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + t_0)), sqrt((((((cos((phi1 + phi2)) + cos((phi1 - phi2))) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)) / 2.0) - t_0) + 1.0))));
}
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 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + t_0)), sqrt((((((cos((phi1 + phi2)) + cos((phi1 - phi2))) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)) / 2.0d0) - t_0) + 1.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt(((t_1 * ((Math.cos(phi1) * Math.cos(phi2)) * t_1)) + t_0)), Math.sqrt((((((Math.cos((phi1 + phi2)) + Math.cos((phi1 - phi2))) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)) / 2.0) - t_0) + 1.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_1 * ((math.cos(phi1) * math.cos(phi2)) * t_1)) + t_0)), math.sqrt((((((math.cos((phi1 + phi2)) + math.cos((phi1 - phi2))) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)) / 2.0) - t_0) + 1.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 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)) + t_0)), sqrt(Float64(Float64(Float64(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)) / 2.0) - t_0) + 1.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + t_0)), sqrt((((((cos((phi1 + phi2)) + cos((phi1 - phi2))) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)) / 2.0) - t_0) + 1.0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $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] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(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] / 2.0), $MachinePrecision] - t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
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) + t\_0}}{\sqrt{\left(\frac{\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)}{2} - t\_0\right) + 1}}\right)
\end{array}
\end{array}
Initial program 63.5%
associate-*l*N/A
cos-multN/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr64.1%
Final simplification64.1%
(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 63.5%
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-rr63.6%
Final simplification63.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos 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 63.5%
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr63.6%
Final simplification63.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_2 (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(t_3
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(sqrt (+ 0.5 (* (cos phi2) t_2)))))))
(if (<= phi2 -1.32e-5)
t_3
(if (<= phi2 0.000165)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (pow (sin t_0) 2.0)))
(sqrt (+ 0.5 (* (cos phi1) t_2)))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_2 = 0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))));
double t_3 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos((2.0 * t_0)))))), sqrt((0.5 + (cos(phi2) * t_2))));
double tmp;
if (phi2 <= -1.32e-5) {
tmp = t_3;
} else if (phi2 <= 0.000165) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, pow(sin(t_0), 2.0))), sqrt((0.5 + (cos(phi1) * t_2))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_2 = Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))))), sqrt(Float64(0.5 + Float64(cos(phi2) * t_2))))) tmp = 0.0 if (phi2 <= -1.32e-5) tmp = t_3; elseif (phi2 <= 0.000165) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, (sin(t_0) ^ 2.0))), sqrt(Float64(0.5 + Float64(cos(phi1) * t_2))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.32e-5], t$95$3, If[LessEqual[phi2, 0.000165], 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[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_2 := 0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot t\_2}}\\
\mathbf{if}\;\phi_2 \leq -1.32 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 0.000165:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, {\sin t\_0}^{2}\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot t\_2}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -1.32000000000000007e-5 or 1.65e-4 < phi2 Initial program 50.3%
Applied egg-rr50.3%
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--.f6451.6
Simplified51.6%
if -1.32000000000000007e-5 < phi2 < 1.65e-4Initial program 74.8%
Applied egg-rr66.2%
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--.f6466.2
Simplified66.2%
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
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
sin-sumN/A
Applied egg-rr70.6%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_1 (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (+ 0.5 (* (cos phi2) t_1)))))))
(if (<= phi2 -1.65e-6)
t_2
(if (<= phi2 3.3e-6)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_0 (- 0.5 (* 0.5 (cos phi1)))))
(sqrt (+ 0.5 (* (cos phi1) 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 = 0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((0.5 + (cos(phi2) * t_1))));
double tmp;
if (phi2 <= -1.65e-6) {
tmp = t_2;
} else if (phi2 <= 3.3e-6) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi1))))), sqrt((0.5 + (cos(phi1) * 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 = Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(0.5 + Float64(cos(phi2) * t_1))))) tmp = 0.0 if (phi2 <= -1.65e-6) tmp = t_2; elseif (phi2 <= 3.3e-6) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(phi1))))), sqrt(Float64(0.5 + Float64(cos(phi1) * 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[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $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[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.65e-6], t$95$2, If[LessEqual[phi2, 3.3e-6], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $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 := 0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot t\_1}}\\
\mathbf{if}\;\phi_2 \leq -1.65 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 3.3 \cdot 10^{-6}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \phi_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot t\_1}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -1.65000000000000008e-6 or 3.30000000000000017e-6 < phi2 Initial program 50.3%
Applied egg-rr50.3%
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--.f6451.6
Simplified51.6%
if -1.65000000000000008e-6 < phi2 < 3.30000000000000017e-6Initial program 74.8%
Applied egg-rr66.2%
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--.f6466.2
Simplified66.2%
Taylor expanded in phi1 around inf
Simplified66.2%
Final simplification59.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 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
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - 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(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - 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[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 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{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}
\end{array}
Initial program 63.5%
Applied egg-rr58.9%
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--.f6445.3
Simplified45.3%
Final simplification45.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_1
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_0)))
(t_2
(sqrt
(+
0.5
(*
(cos phi1)
(- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(if (<= lambda1 -12.5)
(* (* R 2.0) (atan2 t_1 t_2))
(if (<= lambda1 2.5e-18)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda2) 0.5)) t_0))
t_2))
(*
(* R 2.0)
(atan2 t_1 (sqrt (fma (* 0.5 (cos lambda1)) (cos phi1) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_1 = sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_0));
double t_2 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double tmp;
if (lambda1 <= -12.5) {
tmp = (R * 2.0) * atan2(t_1, t_2);
} else if (lambda1 <= 2.5e-18) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda2), 0.5)), t_0)), t_2);
} else {
tmp = (R * 2.0) * atan2(t_1, sqrt(fma((0.5 * cos(lambda1)), cos(phi1), 0.5)));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_1 = sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_0)) t_2 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) tmp = 0.0 if (lambda1 <= -12.5) tmp = Float64(Float64(R * 2.0) * atan(t_1, t_2)); elseif (lambda1 <= 2.5e-18) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda2), 0.5)), t_0)), t_2)); else tmp = Float64(Float64(R * 2.0) * atan(t_1, sqrt(fma(Float64(0.5 * cos(lambda1)), cos(phi1), 0.5)))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -12.5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / t$95$2], $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 2.5e-18], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda2], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_1 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_0\right)}\\
t_2 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
\mathbf{if}\;\lambda_1 \leq -12.5:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{t\_2}\\
\mathbf{elif}\;\lambda_1 \leq 2.5 \cdot 10^{-18}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_2, 0.5\right), t\_0\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{\mathsf{fma}\left(0.5 \cdot \cos \lambda_1, \cos \phi_1, 0.5\right)}}\\
\end{array}
\end{array}
if lambda1 < -12.5Initial program 49.5%
Applied egg-rr49.6%
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--.f6437.8
Simplified37.8%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6437.7
Simplified37.7%
if -12.5 < lambda1 < 2.50000000000000018e-18Initial program 77.6%
Applied egg-rr68.5%
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--.f6450.0
Simplified50.0%
Taylor expanded in lambda1 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-negN/A
cos-lowering-cos.f6450.0
Simplified50.0%
if 2.50000000000000018e-18 < lambda1 Initial program 52.1%
Applied egg-rr50.7%
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--.f6445.1
Simplified45.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6445.1
Simplified45.1%
Taylor expanded in lambda2 around 0
+-commutativeN/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6445.3
Simplified45.3%
Final simplification45.4%
(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
(+
0.5
(*
(cos phi1)
(- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(if (<= phi2 0.07)
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_0 (- 0.5 (* 0.5 (cos phi1))))) t_1))
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_0 (- 0.5 (* 0.5 (cos phi2))))) t_1)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_1 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double tmp;
if (phi2 <= 0.07) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi1))))), t_1);
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi2))))), t_1);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_1 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) tmp = 0.0 if (phi2 <= 0.07) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(phi1))))), t_1)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(phi2))))), t_1)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 0.07], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_1 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
\mathbf{if}\;\phi_2 \leq 0.07:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \phi_1\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \phi_2\right)}}{t\_1}\\
\end{array}
\end{array}
if phi2 < 0.070000000000000007Initial program 66.4%
Applied egg-rr60.3%
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-lowering-cos.f64N/A
--lowering--.f6453.1
Simplified53.1%
Taylor expanded in phi1 around inf
Simplified51.0%
if 0.070000000000000007 < phi2 Initial program 54.3%
Applied egg-rr54.3%
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-lowering-cos.f64N/A
--lowering--.f6420.5
Simplified20.5%
Taylor expanded in phi1 around 0
cos-negN/A
cos-lowering-cos.f6421.0
Simplified21.0%
Final simplification43.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}
\end{array}
Initial program 63.5%
Applied egg-rr58.9%
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--.f6445.3
Simplified45.3%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6434.2
Simplified34.2%
Final simplification34.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)))
(t_2 (sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
(if (<= phi2 -3.4e-7)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
t_1
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (fma 0.5 t_0 0.5))))
(if (<= phi2 0.31)
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_1 (- 0.5 (* 0.5 (cos phi1))))) t_2))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (+ 0.5 (* -0.5 (cos phi2)))))
t_2))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi2) * fma(-0.5, cos(lambda1), 0.5);
double t_2 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0))))));
double tmp;
if (phi2 <= -3.4e-7) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(fma(0.5, t_0, 0.5)));
} else if (phi2 <= 0.31) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos(phi1))))), t_2);
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 + (-0.5 * cos(phi2))))), t_2);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)) t_2 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))) tmp = 0.0 if (phi2 <= -3.4e-7) tmp = 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(fma(0.5, t_0, 0.5)))); elseif (phi2 <= 0.31) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(phi1))))), t_2)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 + Float64(-0.5 * cos(phi2))))), t_2)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -3.4e-7], 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[(0.5 * t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.31], 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[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], 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[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right)\\
t_2 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}\\
\mathbf{if}\;\phi_2 \leq -3.4 \cdot 10^{-7}:\\
\;\;\;\;\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{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}}\\
\mathbf{elif}\;\phi_2 \leq 0.31:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - 0.5 \cdot \cos \phi_1\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 + -0.5 \cdot \cos \phi_2\right)}}{t\_2}\\
\end{array}
\end{array}
if phi2 < -3.39999999999999974e-7Initial program 46.1%
Applied egg-rr46.0%
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--.f6421.5
Simplified21.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6421.2
Simplified21.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6421.1
Simplified21.1%
if -3.39999999999999974e-7 < phi2 < 0.309999999999999998Initial program 74.8%
Applied egg-rr66.2%
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--.f6466.2
Simplified66.2%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6445.7
Simplified45.7%
Taylor expanded in phi1 around inf
Simplified45.7%
if 0.309999999999999998 < phi2 Initial program 54.3%
Applied egg-rr54.3%
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-lowering-cos.f64N/A
--lowering--.f6420.5
Simplified20.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6420.3
Simplified20.3%
Taylor expanded in phi1 around 0
cos-negN/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6420.7
Simplified20.7%
Final simplification34.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (fma (* 0.5 (cos lambda1)) (cos phi1) 0.5)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(fma((0.5 * cos(lambda1)), cos(phi1), 0.5)));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(fma(Float64(0.5 * cos(lambda1)), cos(phi1), 0.5)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $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 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\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 \cdot \cos \lambda_1, \cos \phi_1, 0.5\right)}}
\end{array}
Initial program 63.5%
Applied egg-rr58.9%
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--.f6445.3
Simplified45.3%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6434.2
Simplified34.2%
Taylor expanded in lambda2 around 0
+-commutativeN/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6434.1
Simplified34.1%
Final simplification34.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_1))
(sqrt (fma 0.5 t_0 0.5))))))
(if (<= lambda1 -0.66)
t_2
(if (<= lambda1 0.9)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
(* lambda1 lambda1)
(fma
(* lambda1 lambda1)
(fma
(* lambda1 lambda1)
(fma
(* lambda1 lambda1)
-1.240079365079365e-5
0.0006944444444444445)
-0.020833333333333332)
0.25)))
t_1))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)));
double tmp;
if (lambda1 <= -0.66) {
tmp = t_2;
} else if (lambda1 <= 0.9) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * ((lambda1 * lambda1) * fma((lambda1 * lambda1), fma((lambda1 * lambda1), fma((lambda1 * lambda1), -1.240079365079365e-5, 0.0006944444444444445), -0.020833333333333332), 0.25))), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)))) tmp = 0.0 if (lambda1 <= -0.66) tmp = t_2; elseif (lambda1 <= 0.9) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(lambda1 * lambda1) * fma(Float64(lambda1 * lambda1), fma(Float64(lambda1 * lambda1), fma(Float64(lambda1 * lambda1), -1.240079365079365e-5, 0.0006944444444444445), -0.020833333333333332), 0.25))), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 * t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.66], t$95$2, If[LessEqual[lambda1, 0.9], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * -1.240079365079365e-5 + 0.0006944444444444445), $MachinePrecision] + -0.020833333333333332), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \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)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}}\\
\mathbf{if}\;\lambda_1 \leq -0.66:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 0.9:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left(\lambda_1 \cdot \lambda_1\right) \cdot \mathsf{fma}\left(\lambda_1 \cdot \lambda_1, \mathsf{fma}\left(\lambda_1 \cdot \lambda_1, \mathsf{fma}\left(\lambda_1 \cdot \lambda_1, -1.240079365079365 \cdot 10^{-5}, 0.0006944444444444445\right), -0.020833333333333332\right), 0.25\right)\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -0.660000000000000031 or 0.900000000000000022 < lambda1 Initial program 49.3%
Applied egg-rr49.4%
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--.f6440.3
Simplified40.3%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6440.3
Simplified40.3%
Taylor expanded in phi1 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6431.7
Simplified31.7%
if -0.660000000000000031 < lambda1 < 0.900000000000000022Initial program 78.6%
Applied egg-rr68.9%
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--.f6450.7
Simplified50.7%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6427.8
Simplified27.8%
Taylor expanded in lambda1 around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f6430.6
Simplified30.6%
Final simplification31.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_1))
(sqrt (fma 0.5 t_0 0.5))))))
(if (<= lambda1 -0.0019)
t_2
(if (<= lambda1 0.013)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (* (* lambda1 lambda1) 0.25)) t_1))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)));
double tmp;
if (lambda1 <= -0.0019) {
tmp = t_2;
} else if (lambda1 <= 0.013) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * ((lambda1 * lambda1) * 0.25)), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)))) tmp = 0.0 if (lambda1 <= -0.0019) tmp = t_2; elseif (lambda1 <= 0.013) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(lambda1 * lambda1) * 0.25)), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 * t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.0019], t$95$2, If[LessEqual[lambda1, 0.013], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \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)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}}\\
\mathbf{if}\;\lambda_1 \leq -0.0019:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 0.013:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left(\lambda_1 \cdot \lambda_1\right) \cdot 0.25\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -0.0019 or 0.0129999999999999994 < lambda1 Initial program 49.7%
Applied egg-rr49.7%
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--.f6440.7
Simplified40.7%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6440.6
Simplified40.6%
Taylor expanded in phi1 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6432.1
Simplified32.1%
if -0.0019 < lambda1 < 0.0129999999999999994Initial program 78.4%
Applied egg-rr68.7%
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--.f6450.4
Simplified50.4%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6427.3
Simplified27.3%
Taylor expanded in lambda1 around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6430.1
Simplified30.1%
Final simplification31.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (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(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(fma(0.5, cos((lambda1 - lambda2)), 0.5)));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(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[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $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[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\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(\lambda_1 - \lambda_2\right), 0.5\right)}}
\end{array}
Initial program 63.5%
Applied egg-rr58.9%
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--.f6445.3
Simplified45.3%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6434.2
Simplified34.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6424.9
Simplified24.9%
Final simplification24.9%
herbie shell --seed 2024199
(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))))))))))