
(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 28 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)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (- (* t_2 (cos (* 0.5 phi2))) (* t_0 (sin (* 0.5 phi2)))) 2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(-
1.0
(+
(pow (fma t_2 (cos (* phi2 -0.5)) (* t_0 (sin (* phi2 -0.5)))) 2.0)
(*
(cos phi1)
(*
(cos phi2)
(fma
-0.5
(fma (sin lambda2) (sin lambda1) (* (cos lambda1) (cos lambda2)))
0.5)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow(((t_2 * cos((0.5 * phi2))) - (t_0 * sin((0.5 * phi2)))), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((1.0 - (pow(fma(t_2, cos((phi2 * -0.5)), (t_0 * sin((phi2 * -0.5)))), 2.0) + (cos(phi1) * (cos(phi2) * fma(-0.5, fma(sin(lambda2), sin(lambda1), (cos(lambda1) * cos(lambda2))), 0.5))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) 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((Float64(Float64(t_2 * cos(Float64(0.5 * phi2))) - Float64(t_0 * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(1.0 - Float64((fma(t_2, cos(Float64(phi2 * -0.5)), Float64(t_0 * sin(Float64(phi2 * -0.5)))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.5, fma(sin(lambda2), sin(lambda1), Float64(cos(lambda1) * cos(lambda2))), 0.5))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(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[(N[(t$95$2 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$0 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$2 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$0 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\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(t\_2 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_0 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_2, \cos \left(\phi_2 \cdot -0.5\right), t\_0 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_1 \cdot \cos \lambda_2\right), 0.5\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.5%
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-*.f6463.3
Applied egg-rr63.3%
div-invN/A
metadata-evalN/A
*-commutativeN/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
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6476.8
Applied egg-rr76.8%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/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
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr76.9%
*-rgt-identityN/A
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6477.5
Applied egg-rr77.5%
Final simplification77.5%
(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))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3 (cos (* phi1 0.5)))
(t_4
(pow (- (* t_0 (cos (* 0.5 phi2))) (* t_3 (sin (* 0.5 phi2)))) 2.0))
(t_5
(*
(cos phi1)
(* (cos phi2) (fma -0.5 (cos (- lambda1 lambda2)) 0.5))))
(t_6
(sqrt
(-
1.0
(+
(pow (fma t_0 (cos (* phi2 -0.5)) (* t_3 (sin (* phi2 -0.5)))) 2.0)
t_5)))))
(if (<= (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 0.15)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_4 (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
t_6)))
(* R (* 2.0 (atan2 (sqrt (+ t_4 t_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 = 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((phi1 * 0.5));
double t_4 = pow(((t_0 * cos((0.5 * phi2))) - (t_3 * sin((0.5 * phi2)))), 2.0);
double t_5 = cos(phi1) * (cos(phi2) * fma(-0.5, cos((lambda1 - lambda2)), 0.5));
double t_6 = sqrt((1.0 - (pow(fma(t_0, cos((phi2 * -0.5)), (t_3 * sin((phi2 * -0.5)))), 2.0) + t_5)));
double tmp;
if (atan2(sqrt(t_2), sqrt((1.0 - t_2))) <= 0.15) {
tmp = R * (2.0 * atan2(sqrt((t_4 + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), t_6));
} else {
tmp = R * (2.0 * atan2(sqrt((t_4 + t_5)), t_6));
}
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(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = Float64(Float64(t_0 * cos(Float64(0.5 * phi2))) - Float64(t_3 * sin(Float64(0.5 * phi2)))) ^ 2.0 t_5 = Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))) t_6 = sqrt(Float64(1.0 - Float64((fma(t_0, cos(Float64(phi2 * -0.5)), Float64(t_3 * sin(Float64(phi2 * -0.5)))) ^ 2.0) + t_5))) tmp = 0.0 if (atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) <= 0.15) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), t_6))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + t_5)), t_6))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(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[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$3 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$0 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$3 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.15], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + t$95$5), $MachinePrecision]], $MachinePrecision] / t$95$6], $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) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := {\left(t\_0 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_3 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_5 := \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)\\
t_6 := \sqrt{1 - \left({\left(\mathsf{fma}\left(t\_0, \cos \left(\phi_2 \cdot -0.5\right), t\_3 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2} + t\_5\right)}\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.15:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{t\_6}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + t\_5}}{t\_6}\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)))))))) < 0.149999999999999994Initial program 81.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6481.6
Applied egg-rr81.6%
div-invN/A
metadata-evalN/A
*-commutativeN/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
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6490.2
Applied egg-rr90.2%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/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
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr90.2%
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.f6490.2
Simplified90.2%
if 0.149999999999999994 < (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 61.1%
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-*.f6462.0
Applied egg-rr62.0%
div-invN/A
metadata-evalN/A
*-commutativeN/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
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6475.8
Applied egg-rr75.8%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/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
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr75.9%
associate-*l*N/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
sqr-sin-aN/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr75.9%
Final simplification76.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (- (* t_2 (cos (* 0.5 phi2))) (* t_0 (sin (* 0.5 phi2)))) 2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(-
1.0
(+
(pow (fma t_2 (cos (* phi2 -0.5)) (* t_0 (sin (* phi2 -0.5)))) 2.0)
(*
(cos phi1)
(* (cos phi2) (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 * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow(((t_2 * cos((0.5 * phi2))) - (t_0 * sin((0.5 * phi2)))), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((1.0 - (pow(fma(t_2, cos((phi2 * -0.5)), (t_0 * sin((phi2 * -0.5)))), 2.0) + (cos(phi1) * (cos(phi2) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) 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((Float64(Float64(t_2 * cos(Float64(0.5 * phi2))) - Float64(t_0 * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(1.0 - Float64((fma(t_2, cos(Float64(phi2 * -0.5)), Float64(t_0 * sin(Float64(phi2 * -0.5)))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(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[(N[(t$95$2 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$0 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(t$95$2 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$0 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\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(t\_2 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_0 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_2, \cos \left(\phi_2 \cdot -0.5\right), t\_0 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.5%
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-*.f6463.3
Applied egg-rr63.3%
div-invN/A
metadata-evalN/A
*-commutativeN/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
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6476.8
Applied egg-rr76.8%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/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
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr76.9%
Final simplification76.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (sin (* phi1 0.5)))
(t_2 (cos (* phi1 0.5)))
(t_3
(pow (- (* t_1 (cos (* 0.5 phi2))) (* t_2 (sin (* 0.5 phi2)))) 2.0))
(t_4 (cos (- lambda1 lambda2)))
(t_5 (cos (- phi1 phi2)))
(t_6
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (* t_0 (* (* (cos phi1) (cos phi2)) t_0))))
(sqrt
(/
(-
(+ 1.0 t_5)
(* (+ t_5 (cos (+ phi1 phi2))) (fma t_4 -0.5 0.5)))
2.0)))))))
(if (<= (- lambda1 lambda2) -2e-15)
t_6
(if (<= (- lambda1 lambda2) 0.0002)
(*
R
(*
2.0
(atan2
(sqrt
(+ t_3 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(sqrt
(-
1.0
(+
(pow
(fma t_1 (cos (* phi2 -0.5)) (* t_2 (sin (* phi2 -0.5))))
2.0)
(* (cos phi1) (* (cos phi2) (fma -0.5 t_4 0.5)))))))))
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sin((phi1 * 0.5));
double t_2 = cos((phi1 * 0.5));
double t_3 = pow(((t_1 * cos((0.5 * phi2))) - (t_2 * sin((0.5 * phi2)))), 2.0);
double t_4 = cos((lambda1 - lambda2));
double t_5 = cos((phi1 - phi2));
double t_6 = R * (2.0 * atan2(sqrt((t_3 + (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))), sqrt((((1.0 + t_5) - ((t_5 + cos((phi1 + phi2))) * fma(t_4, -0.5, 0.5))) / 2.0))));
double tmp;
if ((lambda1 - lambda2) <= -2e-15) {
tmp = t_6;
} else if ((lambda1 - lambda2) <= 0.0002) {
tmp = R * (2.0 * atan2(sqrt((t_3 + (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), sqrt((1.0 - (pow(fma(t_1, cos((phi2 * -0.5)), (t_2 * sin((phi2 * -0.5)))), 2.0) + (cos(phi1) * (cos(phi2) * fma(-0.5, t_4, 0.5))))))));
} else {
tmp = t_6;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = Float64(Float64(t_1 * cos(Float64(0.5 * phi2))) - Float64(t_2 * sin(Float64(0.5 * phi2)))) ^ 2.0 t_4 = cos(Float64(lambda1 - lambda2)) t_5 = cos(Float64(phi1 - phi2)) t_6 = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)))), sqrt(Float64(Float64(Float64(1.0 + t_5) - Float64(Float64(t_5 + cos(Float64(phi1 + phi2))) * fma(t_4, -0.5, 0.5))) / 2.0))))) tmp = 0.0 if (Float64(lambda1 - lambda2) <= -2e-15) tmp = t_6; elseif (Float64(lambda1 - lambda2) <= 0.0002) tmp = 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((fma(t_1, cos(Float64(phi2 * -0.5)), Float64(t_2 * sin(Float64(phi2 * -0.5)))) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.5, t_4, 0.5))))))))); else tmp = t_6; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(N[(t$95$1 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$2 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$5), $MachinePrecision] - N[(N[(t$95$5 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$4 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], -2e-15], t$95$6, If[LessEqual[N[(lambda1 - lambda2), $MachinePrecision], 0.0002], 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[(N[Power[N[(t$95$1 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$2 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * t$95$4 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$6]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := {\left(t\_1 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_2 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_4 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_5 := \cos \left(\phi_1 - \phi_2\right)\\
t_6 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)}}{\sqrt{\frac{\left(1 + t\_5\right) - \left(t\_5 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(t\_4, -0.5, 0.5\right)}{2}}}\right)\\
\mathbf{if}\;\lambda_1 - \lambda_2 \leq -2 \cdot 10^{-15}:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\lambda_1 - \lambda_2 \leq 0.0002:\\
\;\;\;\;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({\left(\mathsf{fma}\left(t\_1, \cos \left(\phi_2 \cdot -0.5\right), t\_2 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.5, t\_4, 0.5\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if (-.f64 lambda1 lambda2) < -2.0000000000000002e-15 or 2.0000000000000001e-4 < (-.f64 lambda1 lambda2) Initial program 58.4%
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-*.f6459.3
Applied egg-rr59.3%
Applied egg-rr59.8%
if -2.0000000000000002e-15 < (-.f64 lambda1 lambda2) < 2.0000000000000001e-4Initial program 77.8%
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-*.f6478.8
Applied egg-rr78.8%
div-invN/A
metadata-evalN/A
*-commutativeN/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
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6499.0
Applied egg-rr99.0%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/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
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr99.0%
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--.f6499.0
Simplified99.0%
Final simplification67.9%
(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)))
(t_2 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_3 (cos (- phi1 phi2))))
(if (<= (+ (* t_1 (* (* (cos phi1) (cos phi2)) t_1)) t_0) 0.00355)
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 (* (cos phi1) t_2)))
(sqrt (- 1.0 (fma (cos phi2) t_2 (pow (sin (* phi2 -0.5)) 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
(/
(-
(+ 1.0 t_3)
(*
(+ t_3 (cos (+ phi1 phi2)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))
(* R 2.0)))))
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));
double t_2 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_3 = cos((phi1 - phi2));
double tmp;
if (((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + t_0) <= 0.00355) {
tmp = R * (2.0 * atan2(sqrt((t_0 + (cos(phi1) * t_2))), sqrt((1.0 - fma(cos(phi2), t_2, pow(sin((phi2 * -0.5)), 2.0))))));
} 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 * (0.5 * (phi1 - phi2)))))))), sqrt((((1.0 + t_3) - ((t_3 + cos((phi1 + phi2))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))) * (R * 2.0);
}
return tmp;
}
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)) t_2 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_3 = cos(Float64(phi1 - phi2)) tmp = 0.0 if (Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + t_0) <= 0.00355) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(cos(phi1) * t_2))), sqrt(Float64(1.0 - fma(cos(phi2), t_2, (sin(Float64(phi2 * -0.5)) ^ 2.0))))))); 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 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(Float64(Float64(1.0 + t_3) - Float64(Float64(t_3 + cos(Float64(phi1 + phi2))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))) * Float64(R * 2.0)); end return tmp 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]}, Block[{t$95$2 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision], 0.00355], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$2 + N[Power[N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $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 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$3), $MachinePrecision] - N[(N[(t$95$3 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $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)\\
t_2 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_3 := \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + t\_0 \leq 0.00355:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + \cos \phi_1 \cdot t\_2}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_2, {\sin \left(\phi_2 \cdot -0.5\right)}^{2}\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 \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{\frac{\left(1 + t\_3\right) - \left(t\_3 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}} \cdot \left(R \cdot 2\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.0035500000000000002Initial program 62.6%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified61.4%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
Simplified62.2%
Taylor expanded in phi1 around 0
--lowering--.f64N/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.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--.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6467.3
Simplified67.3%
if 0.0035500000000000002 < (+.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 62.4%
Applied egg-rr62.4%
Applied egg-rr62.8%
Final simplification63.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (sin (* phi2 -0.5)))
(t_2 (cos (* phi1 0.5)))
(t_3 (cos (* phi2 -0.5)))
(t_4
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(- (* t_0 (cos (* 0.5 phi2))) (* t_2 (sin (* 0.5 phi2))))
2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(sqrt
(-
1.0
(+
(pow (fma t_0 t_3 (* t_2 t_1)) 2.0)
(*
(cos phi1)
(* (cos phi2) (fma -0.5 (cos (- lambda1 lambda2)) 0.5))))))))))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (- (* lambda1 -0.5))))
(if (<= phi1 -1.4e-7)
t_4
(if (<= phi1 2.05e-7)
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_5 (* (* (cos phi1) (cos phi2)) t_5))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(fma
(cos phi2)
(pow
(fma
(sin (* lambda2 -0.5))
(cos t_6)
(* (cos (* lambda2 -0.5)) (sin t_6)))
2.0)
(* t_1 (fma phi1 t_3 t_1))))))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = sin((phi2 * -0.5));
double t_2 = cos((phi1 * 0.5));
double t_3 = cos((phi2 * -0.5));
double t_4 = R * (2.0 * atan2(sqrt((pow(((t_0 * cos((0.5 * phi2))) - (t_2 * sin((0.5 * phi2)))), 2.0) + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))), sqrt((1.0 - (pow(fma(t_0, t_3, (t_2 * t_1)), 2.0) + (cos(phi1) * (cos(phi2) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))))));
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = -(lambda1 * -0.5);
double tmp;
if (phi1 <= -1.4e-7) {
tmp = t_4;
} else if (phi1 <= 2.05e-7) {
tmp = R * (2.0 * atan2(sqrt(((t_5 * ((cos(phi1) * cos(phi2)) * t_5)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - fma(cos(phi2), pow(fma(sin((lambda2 * -0.5)), cos(t_6), (cos((lambda2 * -0.5)) * sin(t_6))), 2.0), (t_1 * fma(phi1, t_3, t_1)))))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = sin(Float64(phi2 * -0.5)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = cos(Float64(phi2 * -0.5)) t_4 = Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(t_0 * cos(Float64(0.5 * phi2))) - Float64(t_2 * sin(Float64(0.5 * phi2)))) ^ 2.0) + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))), sqrt(Float64(1.0 - Float64((fma(t_0, t_3, Float64(t_2 * t_1)) ^ 2.0) + Float64(cos(phi1) * Float64(cos(phi2) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))))))))) t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(-Float64(lambda1 * -0.5)) tmp = 0.0 if (phi1 <= -1.4e-7) tmp = t_4; elseif (phi1 <= 2.05e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_5 * Float64(Float64(cos(phi1) * cos(phi2)) * t_5)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - fma(cos(phi2), (fma(sin(Float64(lambda2 * -0.5)), cos(t_6), Float64(cos(Float64(lambda2 * -0.5)) * sin(t_6))) ^ 2.0), Float64(t_1 * fma(phi1, t_3, t_1)))))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$2 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $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[(N[Power[N[(t$95$0 * t$95$3 + N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = (-N[(lambda1 * -0.5), $MachinePrecision])}, If[LessEqual[phi1, -1.4e-7], t$95$4, If[LessEqual[phi1, 2.05e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$5 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[t$95$6], $MachinePrecision] + N[(N[Cos[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[t$95$6], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(phi1 * t$95$3 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\phi_2 \cdot -0.5\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := \cos \left(\phi_2 \cdot -0.5\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_0 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_2 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 - \left({\left(\mathsf{fma}\left(t\_0, t\_3, t\_2 \cdot t\_1\right)\right)}^{2} + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)\right)}}\right)\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := -\lambda_1 \cdot -0.5\\
\mathbf{if}\;\phi_1 \leq -1.4 \cdot 10^{-7}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_1 \leq 2.05 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_5\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, {\left(\mathsf{fma}\left(\sin \left(\lambda_2 \cdot -0.5\right), \cos t\_6, \cos \left(\lambda_2 \cdot -0.5\right) \cdot \sin t\_6\right)\right)}^{2}, t\_1 \cdot \mathsf{fma}\left(\phi_1, t\_3, t\_1\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi1 < -1.4000000000000001e-7 or 2.05e-7 < phi1 Initial program 48.4%
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-*.f6450.0
Applied egg-rr50.0%
div-invN/A
metadata-evalN/A
*-commutativeN/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
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6475.0
Applied egg-rr75.0%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/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
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr75.0%
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.f6458.0
Simplified58.0%
if -1.4000000000000001e-7 < phi1 < 2.05e-7Initial program 78.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified79.0%
sub-negN/A
distribute-rgt-inN/A
sin-sumN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
neg-lowering-neg.f6479.6
Applied egg-rr79.6%
Final simplification67.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (- phi1 phi2))))
(if (<= (+ (* t_2 (* (* (cos phi1) (cos phi2)) t_2)) t_1) 1e-18)
(* R (* 2.0 (atan2 (sqrt (+ t_1 (* (cos phi1) t_0))) (sqrt (- 1.0 t_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
(/
(-
(+ 1.0 t_3)
(*
(+ t_3 (cos (+ phi1 phi2)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))
(* R 2.0)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((phi1 - phi2));
double tmp;
if (((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + t_1) <= 1e-18) {
tmp = R * (2.0 * atan2(sqrt((t_1 + (cos(phi1) * t_0))), sqrt((1.0 - t_0))));
} 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 * (0.5 * (phi1 - phi2)))))))), sqrt((((1.0 + t_3) - ((t_3 + cos((phi1 + phi2))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))) * (R * 2.0);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(phi1 - phi2)) tmp = 0.0 if (Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + t_1) <= 1e-18) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + Float64(cos(phi1) * t_0))), sqrt(Float64(1.0 - t_0))))); 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 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(Float64(Float64(1.0 + t_3) - Float64(Float64(t_3 + cos(Float64(phi1 + phi2))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))) * Float64(R * 2.0)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], 1e-18], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $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 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$3), $MachinePrecision] - N[(N[(t$95$3 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + t\_1 \leq 10^{-18}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + \cos \phi_1 \cdot t\_0}}{\sqrt{1 - t\_0}}\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 \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{\frac{\left(1 + t\_3\right) - \left(t\_3 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}} \cdot \left(R \cdot 2\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.0000000000000001e-18Initial program 64.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified64.2%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
Simplified65.2%
Taylor expanded in phi2 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--.f6470.1
Simplified70.1%
if 1.0000000000000001e-18 < (+.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 62.4%
Applied egg-rr62.3%
Applied egg-rr62.6%
Final simplification63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= (+ (* t_3 (* t_0 t_3)) t_2) 1e-18)
(* R (* 2.0 (atan2 (sqrt (+ t_2 (* (cos phi1) t_1))) (sqrt (- 1.0 t_1)))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt
(fma
(cos (- phi1 phi2))
0.5
(- 0.5 (* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (((t_3 * (t_0 * t_3)) + t_2) <= 1e-18) {
tmp = R * (2.0 * atan2(sqrt((t_2 + (cos(phi1) * t_1))), sqrt((1.0 - t_1))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(fma(cos((phi1 - phi2)), 0.5, (0.5 - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64(Float64(t_3 * Float64(t_0 * t_3)) + t_2) <= 1e-18) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + Float64(cos(phi1) * t_1))), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(fma(cos(Float64(phi1 - phi2)), 0.5, Float64(0.5 - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$3 * N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], 1e-18], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(0.5 - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 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(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;t\_3 \cdot \left(t\_0 \cdot t\_3\right) + t\_2 \leq 10^{-18}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + \cos \phi_1 \cdot t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{\mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), 0.5, 0.5 - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.0000000000000001e-18Initial program 64.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Simplified64.2%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
Simplified65.2%
Taylor expanded in phi2 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--.f6470.1
Simplified70.1%
if 1.0000000000000001e-18 < (+.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 62.4%
Applied egg-rr62.3%
Applied egg-rr62.3%
Final simplification62.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(/
(-
(+ 1.0 t_0)
(*
(+ t_0 (cos (+ phi1 phi2)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((((1.0 + t_0) - ((t_0 + cos((phi1 + phi2))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(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(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(Float64(Float64(1.0 + t_0) - Float64(Float64(t_0 + cos(Float64(phi1 + phi2))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[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] + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 + t$95$0), $MachinePrecision] - N[(N[(t$95$0 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\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} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{\frac{\left(1 + t\_0\right) - \left(t\_0 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 62.5%
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-*.f6463.3
Applied egg-rr63.3%
Applied egg-rr63.7%
Final simplification63.7%
(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
(-
(* (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
(cos (- phi1 phi2))
0.5
(- 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(((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(cos((phi1 - phi2)), 0.5, (0.5 - (t_0 * fma(-0.5, cos((lambda1 - lambda2)), 0.5)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(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(fma(cos(Float64(phi1 - phi2)), 0.5, Float64(0.5 - Float64(t_0 * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[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] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(0.5 - N[(t$95$0 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\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} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}}{\sqrt{\mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), 0.5, 0.5 - t\_0 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.5%
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-*.f6463.3
Applied egg-rr63.3%
div-invN/A
metadata-evalN/A
*-commutativeN/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
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f6476.8
Applied egg-rr76.8%
associate-*l*N/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/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
+-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr76.9%
Applied egg-rr63.4%
Final simplification63.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(/
(fma
(- (cos (+ t_0 (* 0.5 (- phi2 phi1)))) (cos (* 2.0 t_0)))
2.0
(*
2.0
(*
(+ (cos (- phi1 phi2)) (cos (+ phi1 phi2)))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))))
4.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (fma((cos((t_0 + (0.5 * (phi2 - phi1)))) - cos((2.0 * t_0))), 2.0, (2.0 * ((cos((phi1 - phi2)) + cos((phi1 + phi2))) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))) / 4.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(t_0 + Float64(0.5 * Float64(phi2 - phi1)))) - cos(Float64(2.0 * t_0))), 2.0, Float64(2.0 * Float64(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(phi1 + phi2))) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))) / 4.0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(t$95$0 + N[(0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 2.0 + N[(2.0 * N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 4.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \frac{\mathsf{fma}\left(\cos \left(t\_0 + 0.5 \cdot \left(\phi_2 - \phi_1\right)\right) - \cos \left(2 \cdot t\_0\right), 2, 2 \cdot \left(\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)\right)}{4}}}\right)
\end{array}
\end{array}
Initial program 62.5%
Applied egg-rr62.8%
Final simplification62.8%
(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
(+
(+
1.0
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5))))
(- (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((1.0 + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))) + ((0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))) - 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(((1.0d0 + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))) + ((0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2))))) - 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(((1.0 + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))) + ((0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2))))) - 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(((1.0 + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))) + ((0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2))))) - 0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(1.0 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))) + Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) - 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(((1.0 + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))) + ((0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))) - 0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 + 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] + N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(1 + \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) + \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right) - 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 62.5%
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr62.5%
Final simplification62.5%
(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 62.5%
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr62.5%
Final simplification62.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0)))))))
(t_2 (* 0.5 (- lambda1 lambda2)))
(t_3 (* 0.5 (- phi1 phi2)))
(t_4 (- 0.5 (* 0.5 (cos (* 2.0 t_3))))))
(if (<= phi1 -1.7e-5)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))
(pow (sin t_3) 2.0)))
t_1))
(if (<= phi1 1.45e-25)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_2) 2.0)) t_4))
(sqrt (+ 0.5 (* (cos phi2) (- 0.5 (fma -0.5 t_0 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
(-
0.25
(* 0.25 (+ 0.5 (* 0.5 (cos (* 2.0 (- lambda1 lambda2)))))))
(/ 1.0 (fma 0.5 t_0 0.5))))
t_4))
t_1))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0))))));
double t_2 = 0.5 * (lambda1 - lambda2);
double t_3 = 0.5 * (phi1 - phi2);
double t_4 = 0.5 - (0.5 * cos((2.0 * t_3)));
double tmp;
if (phi1 <= -1.7e-5) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_2))))), pow(sin(t_3), 2.0))), t_1);
} else if (phi1 <= 1.45e-25) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_2), 2.0)), t_4)), sqrt((0.5 + (cos(phi2) * (0.5 - fma(-0.5, t_0, 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * ((0.25 - (0.25 * (0.5 + (0.5 * cos((2.0 * (lambda1 - lambda2))))))) * (1.0 / fma(0.5, t_0, 0.5)))), t_4)), t_1);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))) t_2 = Float64(0.5 * Float64(lambda1 - lambda2)) t_3 = Float64(0.5 * Float64(phi1 - phi2)) t_4 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_3)))) tmp = 0.0 if (phi1 <= -1.7e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2))))), (sin(t_3) ^ 2.0))), t_1)); elseif (phi1 <= 1.45e-25) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_2) ^ 2.0)), t_4)), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - fma(-0.5, t_0, 0.5))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(0.25 - Float64(0.25 * Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(lambda1 - lambda2))))))) * Float64(1.0 / fma(0.5, t_0, 0.5)))), t_4)), t_1)); 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[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]}, Block[{t$95$2 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.7e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.45e-25], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.25 - N[(0.25 * N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}\\
t_2 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_3 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_4 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_3\right)\\
\mathbf{if}\;\phi_1 \leq -1.7 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right), {\sin t\_3}^{2}\right)}}{t\_1}\\
\mathbf{elif}\;\phi_1 \leq 1.45 \cdot 10^{-25}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_2}^{2}, t\_4\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left(0.25 - 0.25 \cdot \left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right) \cdot \frac{1}{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}\right), t\_4\right)}}{t\_1}\\
\end{array}
\end{array}
if phi1 < -1.7e-5Initial program 42.8%
Applied egg-rr42.8%
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--.f6443.6
Simplified43.6%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
unpow2N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-lft-out--N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
sin-sumN/A
pow-lowering-pow.f64N/A
Applied egg-rr43.6%
if -1.7e-5 < phi1 < 1.45e-25Initial program 79.8%
Applied egg-rr73.1%
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--.f6476.8
Applied egg-rr76.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6476.8
Simplified76.8%
if 1.45e-25 < phi1 Initial program 53.9%
Applied egg-rr53.8%
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--.f6454.3
Simplified54.3%
flip--N/A
sqr-cos-aN/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr54.4%
Final simplification61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (* 0.5 (- lambda1 lambda2)))
(t_3
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))
(pow (sin t_1) 2.0)))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))))
(if (<= phi1 -1.6e-7)
t_3
(if (<= phi1 1.45e-25)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin t_2) 2.0))
(- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(sqrt (+ 0.5 (* (cos phi2) (- 0.5 (fma -0.5 t_0 0.5)))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = 0.5 * (lambda1 - lambda2);
double t_3 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_2))))), pow(sin(t_1), 2.0))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
double tmp;
if (phi1 <= -1.6e-7) {
tmp = t_3;
} else if (phi1 <= 1.45e-25) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_2), 2.0)), (0.5 - (0.5 * cos((2.0 * t_1)))))), sqrt((0.5 + (cos(phi2) * (0.5 - fma(-0.5, t_0, 0.5))))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = Float64(0.5 * Float64(lambda1 - lambda2)) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2))))), (sin(t_1) ^ 2.0))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))) tmp = 0.0 if (phi1 <= -1.6e-7) tmp = t_3; elseif (phi1 <= 1.45e-25) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_2) ^ 2.0)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))))), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - fma(-0.5, t_0, 0.5))))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(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]}, If[LessEqual[phi1, -1.6e-7], t$95$3, If[LessEqual[phi1, 1.45e-25], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right), {\sin t\_1}^{2}\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{if}\;\phi_1 \leq -1.6 \cdot 10^{-7}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 1.45 \cdot 10^{-25}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_2}^{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -1.6e-7 or 1.45e-25 < phi1 Initial program 48.3%
Applied egg-rr48.3%
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--.f6448.9
Simplified48.9%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
unpow2N/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-lft-out--N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
sin-sumN/A
pow-lowering-pow.f64N/A
Applied egg-rr48.9%
if -1.6e-7 < phi1 < 1.45e-25Initial program 79.8%
Applied egg-rr73.1%
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--.f6476.8
Applied egg-rr76.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6476.8
Simplified76.8%
Final simplification61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* 0.5 (- lambda1 lambda2)))
(t_2 (- 0.5 (fma -0.5 t_0 0.5)))
(t_3
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin t_1) 2.0))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))))
(if (<= phi1 -1.3e-5)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_1)))))
(- 0.5 (* 0.5 (cos phi1)))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
(if (<= phi1 1.45e-25)
(* (* R 2.0) (atan2 t_3 (sqrt (+ 0.5 (* (cos phi2) t_2)))))
(* (* R 2.0) (atan2 t_3 (sqrt (+ 0.5 (* (cos phi1) 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 * (lambda1 - lambda2);
double t_2 = 0.5 - fma(-0.5, t_0, 0.5);
double t_3 = sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_1), 2.0)), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double tmp;
if (phi1 <= -1.3e-5) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_1))))), (0.5 - (0.5 * cos(phi1))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else if (phi1 <= 1.45e-25) {
tmp = (R * 2.0) * atan2(t_3, sqrt((0.5 + (cos(phi2) * t_2))));
} else {
tmp = (R * 2.0) * atan2(t_3, sqrt((0.5 + (cos(phi1) * t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * Float64(lambda1 - lambda2)) t_2 = Float64(0.5 - fma(-0.5, t_0, 0.5)) t_3 = sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_1) ^ 2.0)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) tmp = 0.0 if (phi1 <= -1.3e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))), Float64(0.5 - Float64(0.5 * cos(phi1))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); elseif (phi1 <= 1.45e-25) tmp = Float64(Float64(R * 2.0) * atan(t_3, sqrt(Float64(0.5 + Float64(cos(phi2) * t_2))))); else tmp = Float64(Float64(R * 2.0) * atan(t_3, sqrt(Float64(0.5 + Float64(cos(phi1) * 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[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -1.3e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.45e-25], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$3 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_2 := 0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\\
t_3 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_1}^{2}, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
\mathbf{if}\;\phi_1 \leq -1.3 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right), 0.5 - 0.5 \cdot \cos \phi_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{elif}\;\phi_1 \leq 1.45 \cdot 10^{-25}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{0.5 + \cos \phi_2 \cdot t\_2}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{0.5 + \cos \phi_1 \cdot t\_2}}\\
\end{array}
\end{array}
if phi1 < -1.29999999999999992e-5Initial program 42.8%
Applied egg-rr42.8%
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--.f6443.6
Simplified43.6%
Taylor expanded in phi1 around inf
Simplified43.6%
if -1.29999999999999992e-5 < phi1 < 1.45e-25Initial program 79.8%
Applied egg-rr73.1%
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--.f6476.8
Applied egg-rr76.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6476.8
Simplified76.8%
if 1.45e-25 < phi1 Initial program 53.9%
Applied egg-rr53.8%
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--.f6453.8
Applied egg-rr53.8%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6454.3
Simplified54.3%
Final simplification61.4%
(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 (* 0.5 (- lambda1 lambda2)))
(t_3
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))
t_1))
(sqrt (+ 0.5 (* (cos phi2) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))))
(if (<= phi2 -3.7e-6)
t_3
(if (<= phi2 7400000000000.0)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_2) 2.0)) t_1))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (fma -0.5 t_0 0.5)))))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = 0.5 * (lambda1 - lambda2);
double t_3 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_2))))), t_1)), sqrt((0.5 + (cos(phi2) * (0.5 - (0.5 + (-0.5 * t_0)))))));
double tmp;
if (phi2 <= -3.7e-6) {
tmp = t_3;
} else if (phi2 <= 7400000000000.0) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_2), 2.0)), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - fma(-0.5, t_0, 0.5))))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = Float64(0.5 * Float64(lambda1 - lambda2)) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2))))), t_1)), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))) tmp = 0.0 if (phi2 <= -3.7e-6) tmp = t_3; elseif (phi2 <= 7400000000000.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_2) ^ 2.0)), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - fma(-0.5, t_0, 0.5))))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3.7e-6], t$95$3, If[LessEqual[phi2, 7400000000000.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -3.7 \cdot 10^{-6}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 7400000000000:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_2}^{2}, t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -3.7000000000000002e-6 or 7.4e12 < phi2 Initial program 47.9%
Applied egg-rr47.8%
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--.f6448.4
Simplified48.4%
if -3.7000000000000002e-6 < phi2 < 7.4e12Initial program 75.7%
Applied egg-rr70.0%
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--.f6473.2
Applied egg-rr73.2%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6473.2
Simplified73.2%
Final simplification61.4%
(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 (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(t_2
(sqrt
(fma
(cos phi1)
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))
(t_3 (sqrt (+ 0.5 (* (cos phi1) t_1)))))
(if (<= phi1 -0.00017)
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_0 (- 0.5 (* 0.5 (cos phi1))))) t_3))
(if (<= phi1 1.45e-25)
(* (* R 2.0) (atan2 t_2 (sqrt (+ 0.5 (* (cos phi2) t_1)))))
(* (* R 2.0) (atan2 t_2 t_3))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_1 = 0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))));
double t_2 = sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double t_3 = sqrt((0.5 + (cos(phi1) * t_1)));
double tmp;
if (phi1 <= -0.00017) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi1))))), t_3);
} else if (phi1 <= 1.45e-25) {
tmp = (R * 2.0) * atan2(t_2, sqrt((0.5 + (cos(phi2) * t_1))));
} else {
tmp = (R * 2.0) * atan2(t_2, t_3);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_1 = Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) t_2 = sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) t_3 = sqrt(Float64(0.5 + Float64(cos(phi1) * t_1))) tmp = 0.0 if (phi1 <= -0.00017) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(phi1))))), t_3)); elseif (phi1 <= 1.45e-25) tmp = Float64(Float64(R * 2.0) * atan(t_2, sqrt(Float64(0.5 + Float64(cos(phi2) * t_1))))); else tmp = Float64(Float64(R * 2.0) * atan(t_2, t_3)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(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]}, Block[{t$95$3 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -0.00017], 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$3], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 1.45e-25], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / t$95$3], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_1 := 0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_2 := \sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
t_3 := \sqrt{0.5 + \cos \phi_1 \cdot t\_1}\\
\mathbf{if}\;\phi_1 \leq -0.00017:\\
\;\;\;\;\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\_3}\\
\mathbf{elif}\;\phi_1 \leq 1.45 \cdot 10^{-25}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{0.5 + \cos \phi_2 \cdot t\_1}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{t\_3}\\
\end{array}
\end{array}
if phi1 < -1.7e-4Initial program 42.8%
Applied egg-rr42.8%
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--.f6443.6
Simplified43.6%
Taylor expanded in phi1 around inf
Simplified43.6%
if -1.7e-4 < phi1 < 1.45e-25Initial program 79.8%
Applied egg-rr73.1%
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--.f6473.1
Simplified73.1%
if 1.45e-25 < phi1 Initial program 53.9%
Applied egg-rr53.8%
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--.f6454.3
Simplified54.3%
Final simplification59.8%
(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 62.5%
Applied egg-rr59.4%
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--.f6446.6
Simplified46.6%
Final simplification46.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))
(t_1
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (+ 0.5 (* (cos phi2) -0.5))))
t_0))))
(if (<= phi2 -5e-6)
t_2
(if (<= phi2 8.2e+30)
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_1 (- 0.5 (* 0.5 (cos phi1))))) t_0))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double t_1 = cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 + (cos(phi2) * -0.5)))), t_0);
double tmp;
if (phi2 <= -5e-6) {
tmp = t_2;
} else if (phi2 <= 8.2e+30) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos(phi1))))), t_0);
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) t_1 = Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 + Float64(cos(phi2) * -0.5)))), t_0)) tmp = 0.0 if (phi2 <= -5e-6) tmp = t_2; elseif (phi2 <= 8.2e+30) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(phi1))))), t_0)); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -5e-6], t$95$2, If[LessEqual[phi2, 8.2e+30], 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$0], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
t_1 := \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 + \cos \phi_2 \cdot -0.5\right)}}{t\_0}\\
\mathbf{if}\;\phi_2 \leq -5 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 8.2 \cdot 10^{+30}:\\
\;\;\;\;\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\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -5.00000000000000041e-6 or 8.20000000000000011e30 < phi2 Initial program 48.4%
Applied egg-rr48.3%
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--.f6420.9
Simplified20.9%
Taylor expanded in phi1 around 0
sub-negN/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6421.6
Simplified21.6%
if -5.00000000000000041e-6 < phi2 < 8.20000000000000011e30Initial program 74.3%
Applied egg-rr68.8%
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--.f6468.2
Simplified68.2%
Taylor expanded in phi1 around inf
Simplified68.1%
Final simplification46.9%
(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
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_1))))
(if (<= lambda1 -0.0026)
(*
(* R 2.0)
(atan2 t_2 (sqrt (+ 0.5 (* (cos phi1) (- (fma 0.5 t_0 0.5) 0.5))))))
(if (<= lambda1 7600000.0)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda2) 0.5)) t_1))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
(*
(* R 2.0)
(atan2 t_2 (sqrt (+ 0.5 (* (cos phi1) (* 0.5 (cos lambda1)))))))))))
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 = sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1));
double tmp;
if (lambda1 <= -0.0026) {
tmp = (R * 2.0) * atan2(t_2, sqrt((0.5 + (cos(phi1) * (fma(0.5, t_0, 0.5) - 0.5)))));
} else if (lambda1 <= 7600000.0) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda2), 0.5)), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = (R * 2.0) * atan2(t_2, sqrt((0.5 + (cos(phi1) * (0.5 * cos(lambda1))))));
}
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 = sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)) tmp = 0.0 if (lambda1 <= -0.0026) tmp = Float64(Float64(R * 2.0) * atan(t_2, sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(fma(0.5, t_0, 0.5) - 0.5)))))); elseif (lambda1 <= 7600000.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda2), 0.5)), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = Float64(Float64(R * 2.0) * atan(t_2, sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 * cos(lambda1))))))); 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[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]}, If[LessEqual[lambda1, -0.0026], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 * t$95$0 + 0.5), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 7600000.0], 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$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], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\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 := \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)}\\
\mathbf{if}\;\lambda_1 \leq -0.0026:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{0.5 + \cos \phi_1 \cdot \left(\mathsf{fma}\left(0.5, t\_0, 0.5\right) - 0.5\right)}}\\
\mathbf{elif}\;\lambda_1 \leq 7600000:\\
\;\;\;\;\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\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 \cdot \cos \lambda_1\right)}}\\
\end{array}
\end{array}
if lambda1 < -0.0025999999999999999Initial program 50.8%
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--.f6440.1
Simplified40.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6440.4
Simplified40.4%
+-commutativeN/A
*-rgt-identityN/A
associate--r+N/A
*-rgt-identityN/A
--lowering--.f64N/A
Applied egg-rr40.4%
if -0.0025999999999999999 < lambda1 < 7.6e6Initial program 78.7%
Applied egg-rr72.4%
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--.f6456.1
Simplified56.1%
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.f6456.1
Simplified56.1%
if 7.6e6 < lambda1 Initial program 43.6%
Applied egg-rr43.6%
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--.f6435.1
Simplified35.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6435.2
Simplified35.2%
Taylor expanded in lambda2 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f6435.5
Simplified35.5%
Final simplification46.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)))
(t_1
(sqrt
(+
0.5
(* (cos phi1) (- 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 phi2))))) t_1))))
(if (<= phi2 -4e-6)
t_2
(if (<= phi2 4.6e+44)
(*
(* R 2.0)
(atan2 (sqrt (fma (cos phi1) t_0 (- 0.5 (* 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) * fma(-0.5, cos(lambda1), 0.5);
double t_1 = sqrt((0.5 + (cos(phi1) * (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(phi2))))), t_1);
double tmp;
if (phi2 <= -4e-6) {
tmp = t_2;
} else if (phi2 <= 4.6e+44) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi1))))), t_1);
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)) t_1 = sqrt(Float64(0.5 + Float64(cos(phi1) * 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(phi2))))), t_1)) tmp = 0.0 if (phi2 <= -4e-6) tmp = t_2; elseif (phi2 <= 4.6e+44) 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 = 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[Cos[lambda1], $MachinePrecision] + 0.5), $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]}, 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[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -4e-6], t$95$2, If[LessEqual[phi2, 4.6e+44], 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], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\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)}\\
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 \phi_2\right)}}{t\_1}\\
\mathbf{if}\;\phi_2 \leq -4 \cdot 10^{-6}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 4.6 \cdot 10^{+44}:\\
\;\;\;\;\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}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -3.99999999999999982e-6 or 4.60000000000000009e44 < phi2 Initial program 49.3%
Applied egg-rr49.2%
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--.f6420.9
Simplified20.9%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6420.2
Simplified20.2%
Taylor expanded in phi1 around 0
cos-negN/A
cos-lowering-cos.f6420.9
Simplified20.9%
if -3.99999999999999982e-6 < phi2 < 4.60000000000000009e44Initial program 72.8%
Applied egg-rr67.5%
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--.f6466.9
Simplified66.9%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6443.5
Simplified43.5%
Taylor expanded in phi1 around inf
Simplified43.3%
Final simplification33.4%
(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) (- (fma 0.5 (cos (- lambda1 lambda2)) 0.5) 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((0.5 + (cos(phi1) * (fma(0.5, cos((lambda1 - lambda2)), 0.5) - 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(Float64(0.5 + Float64(cos(phi1) * Float64(fma(0.5, cos(Float64(lambda1 - lambda2)), 0.5) - 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[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - 0.5), $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(\mathsf{fma}\left(0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right) - 0.5\right)}}
\end{array}
Initial program 62.5%
Applied egg-rr59.4%
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--.f6446.6
Simplified46.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6433.2
Simplified33.2%
+-commutativeN/A
*-rgt-identityN/A
associate--r+N/A
*-rgt-identityN/A
--lowering--.f64N/A
Applied egg-rr33.2%
Final simplification33.2%
(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))))
(if (<= phi2 -4e-6)
(*
(* 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))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (- 0.5 (* 0.5 (cos phi1)))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0)))))))))))
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 tmp;
if (phi2 <= -4e-6) {
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 {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos(phi1))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
}
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)) tmp = 0.0 if (phi2 <= -4e-6) 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)))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(phi1))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); 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]}, If[LessEqual[phi2, -4e-6], 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], 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] / 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]]]]
\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)\\
\mathbf{if}\;\phi_2 \leq -4 \cdot 10^{-6}:\\
\;\;\;\;\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{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_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\end{array}
\end{array}
if phi2 < -3.99999999999999982e-6Initial 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--.f6421.8
Simplified21.8%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6420.7
Simplified20.7%
Taylor expanded in phi1 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6420.7
Simplified20.7%
if -3.99999999999999982e-6 < phi2 Initial program 65.1%
Applied egg-rr61.1%
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--.f6454.7
Simplified54.7%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6437.3
Simplified37.3%
Taylor expanded in phi1 around inf
Simplified35.4%
Final simplification31.7%
(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 (cos lambda1))))))))
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 * cos(lambda1))))));
}
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 * cos(lambda1))))))) 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[Cos[lambda1], $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 \cdot \cos \lambda_1\right)}}
\end{array}
Initial program 62.5%
Applied egg-rr59.4%
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--.f6446.6
Simplified46.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6433.2
Simplified33.2%
Taylor expanded in lambda2 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f6433.0
Simplified33.0%
Final simplification33.0%
(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 62.5%
Applied egg-rr59.4%
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--.f6446.6
Simplified46.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6433.2
Simplified33.2%
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.f6433.0
Simplified33.0%
Final simplification33.0%
(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 -4.8e-19)
t_2
(if (<= lambda1 0.058)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (* 0.25 (* lambda1 lambda1))) 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 <= -4.8e-19) {
tmp = t_2;
} else if (lambda1 <= 0.058) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.25 * (lambda1 * lambda1))), 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 <= -4.8e-19) tmp = t_2; elseif (lambda1 <= 0.058) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.25 * Float64(lambda1 * lambda1))), 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, -4.8e-19], t$95$2, If[LessEqual[lambda1, 0.058], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 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 -4.8 \cdot 10^{-19}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 0.058:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right)\right), 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 < -4.80000000000000046e-19 or 0.0580000000000000029 < lambda1 Initial program 46.7%
Applied egg-rr46.7%
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--.f6436.9
Simplified36.9%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6437.1
Simplified37.1%
Taylor expanded in phi1 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6429.5
Simplified29.5%
if -4.80000000000000046e-19 < lambda1 < 0.0580000000000000029Initial program 81.5%
Applied egg-rr74.8%
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--.f6458.3
Simplified58.3%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6428.5
Simplified28.5%
Taylor expanded in lambda1 around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6430.8
Simplified30.8%
Final simplification30.1%
(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 62.5%
Applied egg-rr59.4%
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--.f6446.6
Simplified46.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6433.2
Simplified33.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6424.3
Simplified24.3%
Final simplification24.3%
herbie shell --seed 2024205
(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))))))))))