
(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 19 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
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (sin (* phi2 0.5)) (cos (* 0.5 phi1))))
2.0)))
(*
(* 2.0 R)
(atan2
(sqrt
(fma
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(cos phi1)
t_0))
(sqrt
(-
1.0
(fma
(*
(cos phi2)
(pow
(-
(* (sin (* 0.5 lambda1)) (cos (* 0.5 lambda2)))
(* (cos (* 0.5 lambda1)) (sin (* 0.5 lambda2))))
2.0))
(cos phi1)
t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (sin((phi2 * 0.5)) * cos((0.5 * phi1)))), 2.0);
return (2.0 * R) * atan2(sqrt(fma((cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), cos(phi1), t_0)), sqrt((1.0 - fma((cos(phi2) * pow(((sin((0.5 * lambda1)) * cos((0.5 * lambda2))) - (cos((0.5 * lambda1)) * sin((0.5 * lambda2)))), 2.0)), cos(phi1), t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(0.5 * phi1)))) ^ 2.0 return Float64(Float64(2.0 * R) * atan(sqrt(fma(Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), cos(phi1), t_0)), sqrt(Float64(1.0 - fma(Float64(cos(phi2) * (Float64(Float64(sin(Float64(0.5 * lambda1)) * cos(Float64(0.5 * lambda2))) - Float64(cos(Float64(0.5 * lambda1)) * sin(Float64(0.5 * lambda2)))) ^ 2.0)), cos(phi1), t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[(N[(N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_1\right)\right)}^{2}\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, t\_0\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2 \cdot {\left(\sin \left(0.5 \cdot \lambda_1\right) \cdot \cos \left(0.5 \cdot \lambda_2\right) - \cos \left(0.5 \cdot \lambda_1\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2}, \cos \phi_1, t\_0\right)}}
\end{array}
\end{array}
Initial program 61.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6462.3
Applied egg-rr62.3%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6477.1
Applied egg-rr77.1%
Taylor expanded in R around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Simplified77.2%
*-commutativeN/A
metadata-evalN/A
div-invN/A
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6477.9
Applied egg-rr77.9%
Final simplification77.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_1 (cos (* 0.5 phi1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3
(+
(* t_2 (* (* (cos phi2) (cos phi1)) t_2))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_4 (sqrt t_3)))
(if (<= (atan2 t_4 (sqrt (- 1.0 t_3))) 0.02)
(*
R
(*
2.0
(atan2
t_4
(sqrt
(-
(pow t_1 2.0)
(* (cos phi1) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))))))
(*
(* 2.0 R)
(atan2
(sqrt
(fma
t_0
(cos phi1)
(-
(- 0.5 (* (cos phi1) (* (cos phi2) 0.5)))
(* (sin phi2) (* 0.5 (sin phi1))))))
(sqrt
(-
1.0
(fma
t_0
(cos phi1)
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (sin (* phi2 0.5)) t_1))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = cos((0.5 * phi1));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = (t_2 * ((cos(phi2) * cos(phi1)) * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_4 = sqrt(t_3);
double tmp;
if (atan2(t_4, sqrt((1.0 - t_3))) <= 0.02) {
tmp = R * (2.0 * atan2(t_4, sqrt((pow(t_1, 2.0) - (cos(phi1) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))))));
} else {
tmp = (2.0 * R) * atan2(sqrt(fma(t_0, cos(phi1), ((0.5 - (cos(phi1) * (cos(phi2) * 0.5))) - (sin(phi2) * (0.5 * sin(phi1)))))), sqrt((1.0 - fma(t_0, cos(phi1), pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (sin((phi2 * 0.5)) * t_1)), 2.0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_1 = cos(Float64(0.5 * phi1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(Float64(t_2 * Float64(Float64(cos(phi2) * cos(phi1)) * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_4 = sqrt(t_3) tmp = 0.0 if (atan(t_4, sqrt(Float64(1.0 - t_3))) <= 0.02) tmp = Float64(R * Float64(2.0 * atan(t_4, sqrt(Float64((t_1 ^ 2.0) - Float64(cos(phi1) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(t_0, cos(phi1), Float64(Float64(0.5 - Float64(cos(phi1) * Float64(cos(phi2) * 0.5))) - Float64(sin(phi2) * Float64(0.5 * sin(phi1)))))), sqrt(Float64(1.0 - fma(t_0, cos(phi1), (Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(sin(Float64(phi2 * 0.5)) * t_1)) ^ 2.0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[t$95$3], $MachinePrecision]}, If[LessEqual[N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.02], N[(R * N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(N[Power[t$95$1, 2.0], $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sin[phi2], $MachinePrecision] * N[(0.5 * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \cos \left(0.5 \cdot \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_4 := \sqrt{t\_3}\\
\mathbf{if}\;\tan^{-1}_* \frac{t\_4}{\sqrt{1 - t\_3}} \leq 0.02:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{{t\_1}^{2} - \cos \phi_1 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, \left(0.5 - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot 0.5\right)\right) - \sin \phi_2 \cdot \left(0.5 \cdot \sin \phi_1\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \cos \phi_1, {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot t\_1\right)}^{2}\right)}}\\
\end{array}
\end{array}
if (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) < 0.0200000000000000004Initial program 99.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
associate--r+N/A
unpow2N/A
1-sub-sinN/A
unpow2N/A
--lowering--.f64N/A
pow-lowering-pow.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified99.9%
if 0.0200000000000000004 < (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) Initial program 59.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6460.5
Applied egg-rr60.5%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6476.0
Applied egg-rr76.0%
Taylor expanded in R around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Simplified76.1%
Applied egg-rr76.0%
Final simplification77.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))
(*
(* 2.0 R)
(atan2
(sqrt
(fma
t_0
(cos phi1)
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (sin (* phi2 0.5)) (cos (* 0.5 phi1))))
2.0)))
(sqrt
(-
1.0
(fma
t_0
(cos phi1)
(-
(- 0.5 (* (cos phi1) (* (cos phi2) 0.5)))
(* (sin phi2) (* 0.5 (sin phi1)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return (2.0 * R) * atan2(sqrt(fma(t_0, cos(phi1), pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (sin((phi2 * 0.5)) * cos((0.5 * phi1)))), 2.0))), sqrt((1.0 - fma(t_0, cos(phi1), ((0.5 - (cos(phi1) * (cos(phi2) * 0.5))) - (sin(phi2) * (0.5 * sin(phi1))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) return Float64(Float64(2.0 * R) * atan(sqrt(fma(t_0, cos(phi1), (Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(0.5 * phi1)))) ^ 2.0))), sqrt(Float64(1.0 - fma(t_0, cos(phi1), Float64(Float64(0.5 - Float64(cos(phi1) * Float64(cos(phi2) * 0.5))) - Float64(sin(phi2) * Float64(0.5 * sin(phi1))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sin[phi2], $MachinePrecision] * N[(0.5 * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_1\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_0, \cos \phi_1, \left(0.5 - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot 0.5\right)\right) - \sin \phi_2 \cdot \left(0.5 \cdot \sin \phi_1\right)\right)}}
\end{array}
\end{array}
Initial program 61.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6462.3
Applied egg-rr62.3%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6477.1
Applied egg-rr77.1%
Taylor expanded in R around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Simplified77.2%
Applied egg-rr77.3%
Final simplification77.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (* 2.0 t_0)))))
(if (<=
(+
(* t_2 (* (* (cos phi2) (cos phi1)) t_2))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
5e-124)
(*
(* 2.0 R)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin t_0) 2.0))
(-
0.5
(* 0.5 (fma (cos phi2) (cos phi1) (* (sin phi2) (sin phi1)))))))
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(*
(* 2.0 R)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_3)) (pow (sin t_1) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_1))))
(* (cos phi1) (* (cos phi2) (- t_3 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((2.0 * t_0));
double tmp;
if (((t_2 * ((cos(phi2) * cos(phi1)) * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 5e-124) {
tmp = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_0), 2.0)), (0.5 - (0.5 * fma(cos(phi2), cos(phi1), (sin(phi2) * sin(phi1))))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
} else {
tmp = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_3)), pow(sin(t_1), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(2.0 * t_0))) tmp = 0.0 if (Float64(Float64(t_2 * Float64(Float64(cos(phi2) * cos(phi1)) * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 5e-124) tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_0) ^ 2.0)), Float64(0.5 - Float64(0.5 * fma(cos(phi2), cos(phi1), Float64(sin(phi2) * sin(phi1))))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_3)), (sin(t_1) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_1)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_3 - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 5e-124], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(N[Sin[phi2], $MachinePrecision] * N[Sin[phi1], $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], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\mathbf{if}\;t\_2 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 5 \cdot 10^{-124}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_0}^{2}, 0.5 - 0.5 \cdot \mathsf{fma}\left(\cos \phi_2, \cos \phi_1, \sin \phi_2 \cdot \sin \phi_1\right)\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_3\right), {\sin t\_1}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_3 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 5.0000000000000003e-124Initial program 41.5%
Applied egg-rr1.6%
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--.f641.6
Simplified1.6%
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6417.1
Applied egg-rr17.1%
sqr-sin-aN/A
*-commutativeN/A
*-commutativeN/A
unpow2N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
pow-lowering-pow.f64N/A
div-invN/A
metadata-evalN/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f6449.0
Applied egg-rr49.0%
if 5.0000000000000003e-124 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.1%
Applied egg-rr60.0%
sqr-sin-aN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-diffN/A
distribute-rgt-out--N/A
*-commutativeN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6461.7
Applied egg-rr61.7%
Final simplification61.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (sin (* phi2 0.5)) (cos (* 0.5 phi1))))
2.0))
(t_1 (* (cos phi2) (cos phi1)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4
(*
R
(*
2.0
(atan2
(sqrt (+ t_0 (* t_3 (* t_1 t_3))))
(sqrt
(/
(-
(+ (cos (- phi1 phi2)) 1.0)
(*
(+ (cos (+ phi2 phi1)) (cos (- phi2 phi1)))
(fma t_2 -0.5 0.5)))
2.0)))))))
(if (<= lambda1 -0.00014)
t_4
(if (<= lambda1 1.7e-11)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* lambda2 -0.5)) 2.0))
t_0))
(sqrt
(+
(+
(* (sin phi2) (* 0.5 (sin phi1)))
(-
(* (cos phi1) (* (cos phi2) 0.5))
(fma (fma -0.5 t_2 0.5) t_1 0.5)))
1.0)))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (sin((phi2 * 0.5)) * cos((0.5 * phi1)))), 2.0);
double t_1 = cos(phi2) * cos(phi1);
double t_2 = cos((lambda1 - lambda2));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = R * (2.0 * atan2(sqrt((t_0 + (t_3 * (t_1 * t_3)))), sqrt((((cos((phi1 - phi2)) + 1.0) - ((cos((phi2 + phi1)) + cos((phi2 - phi1))) * fma(t_2, -0.5, 0.5))) / 2.0))));
double tmp;
if (lambda1 <= -0.00014) {
tmp = t_4;
} else if (lambda1 <= 1.7e-11) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((lambda2 * -0.5)), 2.0)), t_0)), sqrt((((sin(phi2) * (0.5 * sin(phi1))) + ((cos(phi1) * (cos(phi2) * 0.5)) - fma(fma(-0.5, t_2, 0.5), t_1, 0.5))) + 1.0))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(0.5 * phi1)))) ^ 2.0 t_1 = Float64(cos(phi2) * cos(phi1)) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_0 + Float64(t_3 * Float64(t_1 * t_3)))), sqrt(Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + 1.0) - Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) * fma(t_2, -0.5, 0.5))) / 2.0))))) tmp = 0.0 if (lambda1 <= -0.00014) tmp = t_4; elseif (lambda1 <= 1.7e-11) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(lambda2 * -0.5)) ^ 2.0)), t_0)), sqrt(Float64(Float64(Float64(sin(phi2) * Float64(0.5 * sin(phi1))) + Float64(Float64(cos(phi1) * Float64(cos(phi2) * 0.5)) - fma(fma(-0.5, t_2, 0.5), t_1, 0.5))) + 1.0))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 + N[(t$95$3 * N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.00014], t$95$4, If[LessEqual[lambda1, 1.7e-11], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Sin[phi2], $MachinePrecision] * N[(0.5 * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] - N[(N[(-0.5 * t$95$2 + 0.5), $MachinePrecision] * t$95$1 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_1\right)\right)}^{2}\\
t_1 := \cos \phi_2 \cdot \cos \phi_1\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_3 \cdot \left(t\_1 \cdot t\_3\right)}}{\sqrt{\frac{\left(\cos \left(\phi_1 - \phi_2\right) + 1\right) - \left(\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)\right) \cdot \mathsf{fma}\left(t\_2, -0.5, 0.5\right)}{2}}}\right)\\
\mathbf{if}\;\lambda_1 \leq -0.00014:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 \leq 1.7 \cdot 10^{-11}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(\lambda_2 \cdot -0.5\right)}^{2}, t\_0\right)}}{\sqrt{\left(\sin \phi_2 \cdot \left(0.5 \cdot \sin \phi_1\right) + \left(\cos \phi_1 \cdot \left(\cos \phi_2 \cdot 0.5\right) - \mathsf{fma}\left(\mathsf{fma}\left(-0.5, t\_2, 0.5\right), t\_1, 0.5\right)\right)\right) + 1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if lambda1 < -1.3999999999999999e-4 or 1.6999999999999999e-11 < lambda1 Initial program 45.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6447.0
Applied egg-rr47.0%
Applied egg-rr47.5%
if -1.3999999999999999e-4 < lambda1 < 1.6999999999999999e-11Initial program 77.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6478.6
Applied egg-rr78.6%
Taylor expanded in lambda1 around 0
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
pow-lowering-pow.f64N/A
Simplified77.2%
Applied egg-rr96.9%
Final simplification71.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (cos t_1)))
(if (<=
(+ (* t_3 (* t_0 t_3)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.00076)
(*
(* 2.0 R)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(pow (sin t_1) 2.0)))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_2))))))))
(*
R
(*
2.0
(atan2
(sqrt (fma (fma t_2 -0.5 0.5) t_0 (fma (cos (- phi1 phi2)) -0.5 0.5)))
(sqrt
(fma
t_4
t_4
(* (fma -0.5 t_2 0.5) (* (cos phi2) (- (cos phi1))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = cos((lambda1 - lambda2));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = cos(t_1);
double tmp;
if (((t_3 * (t_0 * t_3)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.00076) {
tmp = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), pow(sin(t_1), 2.0))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_2)))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(fma(t_2, -0.5, 0.5), t_0, fma(cos((phi1 - phi2)), -0.5, 0.5))), sqrt(fma(t_4, t_4, (fma(-0.5, t_2, 0.5) * (cos(phi2) * -cos(phi1)))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = cos(t_1) tmp = 0.0 if (Float64(Float64(t_3 * Float64(t_0 * t_3)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.00076) tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (sin(t_1) ^ 2.0))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_2)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(fma(t_2, -0.5, 0.5), t_0, fma(cos(Float64(phi1 - phi2)), -0.5, 0.5))), sqrt(fma(t_4, t_4, Float64(fma(-0.5, t_2, 0.5) * Float64(cos(phi2) * Float64(-cos(phi1))))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Cos[t$95$1], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$3 * N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.00076], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[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$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$2 * -0.5 + 0.5), $MachinePrecision] * t$95$0 + N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$4 * t$95$4 + N[(N[(-0.5 * t$95$2 + 0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * (-N[Cos[phi1], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \cos t\_1\\
\mathbf{if}\;t\_3 \cdot \left(t\_0 \cdot t\_3\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.00076:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), {\sin t\_1}^{2}\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_2\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(t\_2, -0.5, 0.5\right), t\_0, \mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), -0.5, 0.5\right)\right)}}{\sqrt{\mathsf{fma}\left(t\_4, t\_4, \mathsf{fma}\left(-0.5, t\_2, 0.5\right) \cdot \left(\cos \phi_2 \cdot \left(-\cos \phi_1\right)\right)\right)}}\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 7.6000000000000004e-4Initial program 60.6%
Applied egg-rr10.1%
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--.f6410.1
Simplified10.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6412.9
Simplified12.9%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
unpow2N/A
div-subN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
sin-diffN/A
*-commutativeN/A
*-commutativeN/A
Applied egg-rr38.6%
if 7.6000000000000004e-4 < (+.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 61.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6461.8
Applied egg-rr61.8%
Applied egg-rr61.2%
Applied egg-rr61.3%
Final simplification59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (cos (- phi1 phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (- lambda1 lambda2)))
(t_4 (fma -0.5 t_3 0.5)))
(if (<=
(+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.00076)
(*
(* 2.0 R)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_3))))))))
(*
(* 2.0 R)
(atan2
(sqrt (fma t_4 t_0 (fma -0.5 t_1 0.5)))
(sqrt (- (fma 0.5 t_1 0.5) (* t_0 t_4))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = cos((phi1 - phi2));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((lambda1 - lambda2));
double t_4 = fma(-0.5, t_3, 0.5);
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.00076) {
tmp = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_3)))))));
} else {
tmp = (2.0 * R) * atan2(sqrt(fma(t_4, t_0, fma(-0.5, t_1, 0.5))), sqrt((fma(0.5, t_1, 0.5) - (t_0 * t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = cos(Float64(phi1 - phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(lambda1 - lambda2)) t_4 = fma(-0.5, t_3, 0.5) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.00076) tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_3)))))))); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(t_4, t_0, fma(-0.5, t_1, 0.5))), sqrt(Float64(fma(0.5, t_1, 0.5) - Float64(t_0 * t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(-0.5 * t$95$3 + 0.5), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.00076], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$4 * t$95$0 + N[(-0.5 * t$95$1 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * t$95$1 + 0.5), $MachinePrecision] - N[(t$95$0 * t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \cos \left(\phi_1 - \phi_2\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_4 := \mathsf{fma}\left(-0.5, t\_3, 0.5\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.00076:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_3\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, t\_0, \mathsf{fma}\left(-0.5, t\_1, 0.5\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_1, 0.5\right) - t\_0 \cdot t\_4}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 7.6000000000000004e-4Initial program 60.6%
Applied egg-rr10.1%
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--.f6410.1
Simplified10.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f6412.9
Simplified12.9%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
unpow2N/A
div-subN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
sin-diffN/A
*-commutativeN/A
*-commutativeN/A
Applied egg-rr38.6%
if 7.6000000000000004e-4 < (+.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 61.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6461.8
Applied egg-rr61.8%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6476.0
Applied egg-rr76.0%
Taylor expanded in R around 0
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Simplified76.0%
Applied egg-rr61.2%
Final simplification59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (sin (* phi2 0.5)) (cos (* 0.5 phi1))))
2.0)
(* t_0 (* (* (cos phi2) (cos phi1)) t_0))))
(sqrt
(/
(-
(+ (cos (- phi1 phi2)) 1.0)
(*
(+ (cos (+ phi2 phi1)) (cos (- phi2 phi1)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (sin((phi2 * 0.5)) * cos((0.5 * phi1)))), 2.0) + (t_0 * ((cos(phi2) * cos(phi1)) * t_0)))), sqrt((((cos((phi1 - phi2)) + 1.0) - ((cos((phi2 + phi1)) + cos((phi2 - phi1))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))));
}
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(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(0.5 * phi1)))) ^ 2.0) + Float64(t_0 * Float64(Float64(cos(phi2) * cos(phi1)) * t_0)))), sqrt(Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + 1.0) - Float64(Float64(cos(Float64(phi2 + phi1)) + cos(Float64(phi2 - phi1))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[(N[Cos[N[(phi2 + phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_1\right)\right)}^{2} + t\_0 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right)}}{\sqrt{\frac{\left(\cos \left(\phi_1 - \phi_2\right) + 1\right) - \left(\cos \left(\phi_2 + \phi_1\right) + \cos \left(\phi_2 - \phi_1\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 61.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6462.3
Applied egg-rr62.3%
Applied egg-rr62.7%
Final simplification62.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (sin (* phi2 0.5)) (cos (* 0.5 phi1))))
2.0)
(* t_1 (* t_0 t_1))))
(sqrt
(-
(+ 0.5 (* 0.5 (cos (- phi1 phi2))))
(* 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(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (sin((phi2 * 0.5)) * cos((0.5 * phi1)))), 2.0) + (t_1 * (t_0 * t_1)))), sqrt(((0.5 + (0.5 * cos((phi1 - phi2)))) - (t_0 * fma(-0.5, cos((lambda1 - lambda2)), 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(sin(Float64(phi2 * 0.5)) * cos(Float64(0.5 * phi1)))) ^ 2.0) + Float64(t_1 * Float64(t_0 * t_1)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(phi1 - phi2)))) - 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[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(t$95$0 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \sin \left(\phi_2 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_1\right)\right)}^{2} + t\_1 \cdot \left(t\_0 \cdot t\_1\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) - t\_0 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f6462.3
Applied egg-rr62.3%
div-invN/A
metadata-evalN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f6477.1
Applied egg-rr77.1%
Applied egg-rr62.4%
Final simplification62.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (cos phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (* 0.5 (- phi1 phi2)))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(fma
t_2
t_2
(*
t_0
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * cos(phi1);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((0.5 * (phi1 - phi2)));
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(fma(t_2, t_2, (t_0 * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * cos(phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(0.5 * Float64(phi1 - phi2))) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(fma(t_2, t_2, Float64(t_0 * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$2 * t$95$2 + N[(t$95$0 * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \cos \phi_1\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(t\_2, t\_2, t\_0 \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
associate--r+N/A
associate-*l*N/A
cancel-sign-sub-invN/A
unpow2N/A
1-sub-sinN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr61.3%
Final simplification61.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (* 0.5 (cos (* 2.0 t_0))))
(t_2 (* 0.5 (- lambda1 lambda2)))
(t_3 (* 0.5 (cos (* 2.0 t_2))))
(t_4 (sqrt (+ (+ 0.5 t_1) (* (cos phi1) (* (cos phi2) (- t_3 0.5)))))))
(if (<= (sin (/ (- lambda1 lambda2) 2.0)) 5e-134)
(*
(* 2.0 R)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_3)) (pow (sin t_0) 2.0)))
t_4))
(*
(* 2.0 R)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_2) 2.0)) (- 0.5 t_1)))
t_4)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = 0.5 * cos((2.0 * t_0));
double t_2 = 0.5 * (lambda1 - lambda2);
double t_3 = 0.5 * cos((2.0 * t_2));
double t_4 = sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5)))));
double tmp;
if (sin(((lambda1 - lambda2) / 2.0)) <= 5e-134) {
tmp = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_3)), pow(sin(t_0), 2.0))), t_4);
} else {
tmp = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_2), 2.0)), (0.5 - t_1))), t_4);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = Float64(0.5 * cos(Float64(2.0 * t_0))) t_2 = Float64(0.5 * Float64(lambda1 - lambda2)) t_3 = Float64(0.5 * cos(Float64(2.0 * t_2))) t_4 = sqrt(Float64(Float64(0.5 + t_1) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_3 - 0.5))))) tmp = 0.0 if (sin(Float64(Float64(lambda1 - lambda2) / 2.0)) <= 5e-134) tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_3)), (sin(t_0) ^ 2.0))), t_4)); else tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_2) ^ 2.0)), Float64(0.5 - t_1))), t_4)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 5e-134], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * R), $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 - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_2 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
t_4 := \sqrt{\left(0.5 + t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_3 - 0.5\right)\right)}\\
\mathbf{if}\;\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right) \leq 5 \cdot 10^{-134}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_3\right), {\sin t\_0}^{2}\right)}}{t\_4}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_2}^{2}, 0.5 - t\_1\right)}}{t\_4}\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 5.0000000000000003e-134Initial program 59.7%
Applied egg-rr56.8%
sqr-sin-aN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-diffN/A
distribute-rgt-out--N/A
*-commutativeN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6459.8
Applied egg-rr59.8%
if 5.0000000000000003e-134 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 62.7%
Applied egg-rr57.7%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
pow2N/A
pow-lowering-pow.f64N/A
div-invN/A
metadata-evalN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6462.1
Applied egg-rr62.1%
Final simplification60.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi2) (cos phi1)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi2) * cos(phi1)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((t_0 * ((cos(phi2) * cos(phi1)) * t_0)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt(((t_0 * ((Math.cos(phi2) * Math.cos(phi1)) * t_0)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_0 * ((math.cos(phi2) * math.cos(phi1)) * t_0)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi2) * cos(phi1)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi2) * cos(phi1)) * t_0)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
associate--r+N/A
--lowering--.f64N/A
Applied egg-rr61.3%
Final simplification61.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi2) (cos phi1)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(fma
(* (- (cos phi1)) (fma (cos (- lambda1 lambda2)) -0.5 0.5))
(cos phi2)
(fma 0.5 (cos (- phi1 phi2)) 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi2) * cos(phi1)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(fma((-cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5)), cos(phi2), fma(0.5, cos((phi1 - phi2)), 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi2) * cos(phi1)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(fma(Float64(Float64(-cos(phi1)) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)), cos(phi2), fma(0.5, cos(Float64(phi1 - phi2)), 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[((-N[Cos[phi1], $MachinePrecision]) * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(\left(-\cos \phi_1\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right), \cos \phi_2, \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.2%
flip--N/A
associate-/l/N/A
difference-of-squaresN/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
+-lowering-+.f6461.2
Applied egg-rr61.2%
Applied egg-rr61.3%
Final simplification61.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* 0.5 (- phi1 phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_0)) (pow (sin t_1) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_1))))
(* (cos phi1) (* (cos phi2) (- t_0 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_1 = 0.5 * (phi1 - phi2);
return (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), pow(sin(t_1), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_1 = Float64(0.5 * Float64(phi1 - phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_0)), (sin(t_1) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_1)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_0\right), {\sin t\_1}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)}}
\end{array}
\end{array}
Initial program 61.2%
Applied egg-rr57.2%
sqr-sin-aN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
*-commutativeN/A
distribute-rgt-out--N/A
sin-diffN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-diffN/A
distribute-rgt-out--N/A
*-commutativeN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6459.3
Applied egg-rr59.3%
Final simplification59.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2 (* 0.5 (- lambda1 lambda2)))
(t_3
(*
(* 2.0 R)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 t_2)))))
t_1))
(sqrt (+ 0.5 (* (cos phi2) t_0)))))))
(if (<= phi2 -1.15e-5)
t_3
(if (<= phi2 6e-5)
(*
(* 2.0 R)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_2) 2.0)) t_1))
(sqrt (+ 0.5 (* (cos phi1) t_0)))))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 + (-0.5 * 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 = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * t_2))))), t_1)), sqrt((0.5 + (cos(phi2) * t_0))));
double tmp;
if (phi2 <= -1.15e-5) {
tmp = t_3;
} else if (phi2 <= 6e-5) {
tmp = (2.0 * R) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_2), 2.0)), t_1)), sqrt((0.5 + (cos(phi1) * t_0))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 + Float64(-0.5 * 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(2.0 * R) * 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) * t_0))))) tmp = 0.0 if (phi2 <= -1.15e-5) tmp = t_3; elseif (phi2 <= 6e-5) tmp = Float64(Float64(2.0 * R) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_2) ^ 2.0)), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * t_0))))); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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[(2.0 * R), $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] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.15e-5], t$95$3, If[LessEqual[phi2, 6e-5], N[(N[(2.0 * R), $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] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\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(2 \cdot R\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 t\_0}}\\
\mathbf{if}\;\phi_2 \leq -1.15 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 6 \cdot 10^{-5}:\\
\;\;\;\;\left(2 \cdot R\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 t\_0}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -1.15e-5 or 6.00000000000000015e-5 < phi2 Initial program 51.4%
Applied egg-rr51.4%
Taylor expanded in phi1 around 0
associate--l+N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6451.9
Simplified51.9%
if -1.15e-5 < phi2 < 6.00000000000000015e-5Initial program 73.2%
Applied egg-rr64.3%
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--.f6464.4
Simplified64.4%
sqr-sin-aN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
div-invN/A
pow2N/A
pow-lowering-pow.f64N/A
div-invN/A
metadata-evalN/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
--lowering--.f6469.1
Applied egg-rr69.1%
Final simplification59.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 0.5 (+ 0.5 (* -0.5 t_0))))
(t_2
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- (fma -0.5 t_0 0.5) 0.5))))
(sqrt (+ 0.5 (* (cos phi1) t_1)))))))
(if (<= phi1 -0.000465)
t_2
(if (<= phi1 0.00175)
(*
(* 2.0 R)
(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 phi2) t_1)))))
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 + (-0.5 * t_0));
double t_2 = (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (fma(-0.5, t_0, 0.5) - 0.5)))), sqrt((0.5 + (cos(phi1) * t_1))));
double tmp;
if (phi1 <= -0.000465) {
tmp = t_2;
} else if (phi1 <= 0.00175) {
tmp = (2.0 * R) * 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(phi2) * t_1))));
} 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 + Float64(-0.5 * t_0))) t_2 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(fma(-0.5, t_0, 0.5) - 0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * t_1))))) tmp = 0.0 if (phi1 <= -0.000465) tmp = t_2; elseif (phi1 <= 0.00175) tmp = Float64(Float64(2.0 * R) * 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(phi2) * t_1))))); 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[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[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] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.000465], t$95$2, If[LessEqual[phi1, 0.00175], N[(N[(2.0 * R), $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[phi2], $MachinePrecision] * t$95$1), $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 - \left(0.5 + -0.5 \cdot t\_0\right)\\
t_2 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(\mathsf{fma}\left(-0.5, t\_0, 0.5\right) - 0.5\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot t\_1}}\\
\mathbf{if}\;\phi_1 \leq -0.000465:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 0.00175:\\
\;\;\;\;\left(2 \cdot R\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_2 \cdot t\_1}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -4.6500000000000003e-4 or 0.00175000000000000004 < phi1 Initial program 43.9%
Applied egg-rr43.9%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6444.7
Simplified44.7%
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6447.0
Applied egg-rr47.0%
Taylor expanded in phi2 around 0
associate--l+N/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6445.9
Simplified45.9%
if -4.6500000000000003e-4 < phi1 < 0.00175000000000000004Initial program 80.4%
Applied egg-rr72.1%
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--.f6472.1
Simplified72.1%
Final simplification58.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(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) (- (fma 0.5 (cos (- lambda1 lambda2)) 0.5) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * 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) * (fma(0.5, cos((lambda1 - lambda2)), 0.5) - 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * 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(fma(0.5, cos(Float64(lambda1 - lambda2)), 0.5) - 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $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[(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(2 \cdot R\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(\mathsf{fma}\left(0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right) - 0.5\right)}}
\end{array}
Initial program 61.2%
Applied egg-rr57.2%
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--.f6440.3
Simplified40.3%
+-commutativeN/A
associate--r+N/A
--lowering--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-rgt-identityN/A
metadata-evalN/A
associate-*l*N/A
*-commutativeN/A
+-commutativeN/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6440.3
Applied egg-rr40.3%
Final simplification40.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* 2.0 R)
(atan2
(sqrt
(fma
(fma -0.5 t_0 0.5)
(* (cos phi2) (cos phi1))
(fma -0.5 (cos (- phi1 phi2)) 0.5)))
(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));
return (2.0 * R) * atan2(sqrt(fma(fma(-0.5, t_0, 0.5), (cos(phi2) * cos(phi1)), fma(-0.5, cos((phi1 - phi2)), 0.5))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(2.0 * R) * atan(sqrt(fma(fma(-0.5, t_0, 0.5), Float64(cos(phi2) * cos(phi1)), fma(-0.5, cos(Float64(phi1 - phi2)), 0.5))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(-0.5 * t$95$0 + 0.5), $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $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)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(-0.5, t\_0, 0.5\right), \cos \phi_2 \cdot \cos \phi_1, \mathsf{fma}\left(-0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\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}
Initial program 61.2%
Applied egg-rr57.2%
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--.f6440.3
Simplified40.3%
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6441.5
Applied egg-rr41.5%
Applied egg-rr40.3%
Final simplification40.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (* (cos phi1) (- (fma -0.5 t_0 0.5) 0.5))))
(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));
return (2.0 * R) * atan2(sqrt((0.5 + (cos(phi1) * (fma(-0.5, t_0, 0.5) - 0.5)))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(fma(-0.5, t_0, 0.5) - 0.5)))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[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] / 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)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \cos \phi_1 \cdot \left(\mathsf{fma}\left(-0.5, t\_0, 0.5\right) - 0.5\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}
Initial program 61.2%
Applied egg-rr57.2%
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--.f6440.3
Simplified40.3%
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
*-rgt-identityN/A
cos-diffN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f6441.5
Applied egg-rr41.5%
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
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f6438.8
Simplified38.8%
Final simplification38.8%
herbie shell --seed 2024204
(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))))))))))