
(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 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(*
(pow
(-
(* (sin (* lambda1 0.5)) (cos (* 0.5 lambda2)))
(* (cos (* lambda1 0.5)) (sin (* 0.5 lambda2))))
2.0)
(cos phi2))
t_1))
(sqrt (- 1.0 (+ t_1 (* t_0 (* (* (cos phi1) (cos phi2)) t_0))))))))))
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 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (pow(((sin((lambda1 * 0.5)) * cos((0.5 * lambda2))) - (cos((lambda1 * 0.5)) * sin((0.5 * lambda2)))), 2.0) * cos(phi2)), t_1)), sqrt((1.0 - (t_1 + (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64((Float64(Float64(sin(Float64(lambda1 * 0.5)) * cos(Float64(0.5 * lambda2))) - Float64(cos(Float64(lambda1 * 0.5)) * sin(Float64(0.5 * lambda2)))) ^ 2.0) * cos(phi2)), t_1)), sqrt(Float64(1.0 - Float64(t_1 + Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Power[N[(N[(N[Sin[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, {\left(\sin \left(\lambda_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \lambda_2\right) - \cos \left(\lambda_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \lambda_2\right)\right)}^{2} \cdot \cos \phi_2, t\_1\right)}}{\sqrt{1 - \left(t\_1 + t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\right)}}\right)
\end{array}
\end{array}
Initial program 60.5%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6461.8
Applied egg-rr61.8%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied egg-rr78.1%
Taylor expanded in phi2 around inf
+-commutativeN/A
mul-1-negN/A
sub-negN/A
lower-fma.f64N/A
Simplified78.1%
lift--.f64N/A
metadata-evalN/A
associate-/r/N/A
clear-numN/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
Applied egg-rr78.7%
Final simplification78.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2)))
(t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (* (cos phi1) (cos phi2)) t_2))
(t_4 (+ (* t_2 t_3) t_1)))
(if (<= (atan2 (sqrt t_4) (sqrt (- 1.0 t_4))) 0.045)
(*
R
(*
2.0
(atan2
(sin (* -0.5 (- phi2 phi1)))
(sqrt (- 1.0 (+ t_1 (* t_3 (sin (* lambda2 -0.5)))))))))
(*
2.0
(*
R
(atan2
(pow (fma t_0 -0.5 0.5) 0.5)
(sqrt
(-
(fma 0.5 t_0 0.5)
(*
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = (cos(phi1) * cos(phi2)) * t_2;
double t_4 = (t_2 * t_3) + t_1;
double tmp;
if (atan2(sqrt(t_4), sqrt((1.0 - t_4))) <= 0.045) {
tmp = R * (2.0 * atan2(sin((-0.5 * (phi2 - phi1))), sqrt((1.0 - (t_1 + (t_3 * sin((lambda2 * -0.5))))))));
} else {
tmp = 2.0 * (R * atan2(pow(fma(t_0, -0.5, 0.5), 0.5), sqrt((fma(0.5, t_0, 0.5) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(Float64(cos(phi1) * cos(phi2)) * t_2) t_4 = Float64(Float64(t_2 * t_3) + t_1) tmp = 0.0 if (atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))) <= 0.045) tmp = Float64(R * Float64(2.0 * atan(sin(Float64(-0.5 * Float64(phi2 - phi1))), sqrt(Float64(1.0 - Float64(t_1 + Float64(t_3 * sin(Float64(lambda2 * -0.5))))))))); else tmp = Float64(2.0 * Float64(R * atan((fma(t_0, -0.5, 0.5) ^ 0.5), sqrt(Float64(fma(0.5, t_0, 0.5) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 * t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.045], N[(R * N[(2.0 * N[ArcTan[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(t$95$3 * N[Sin[N[(lambda2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(R * N[ArcTan[N[Power[N[(t$95$0 * -0.5 + 0.5), $MachinePrecision], 0.5], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * t$95$0 + 0.5), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\\
t_4 := t\_2 \cdot t\_3 + t\_1\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}} \leq 0.045:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}{\sqrt{1 - \left(t\_1 + t\_3 \cdot \sin \left(\lambda_2 \cdot -0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{{\left(\mathsf{fma}\left(t\_0, -0.5, 0.5\right)\right)}^{0.5}}{\sqrt{\mathsf{fma}\left(0.5, t\_0, 0.5\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\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)))))))) < 0.044999999999999998Initial program 80.9%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified71.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6436.5
Simplified36.5%
Taylor expanded in lambda1 around 0
lower-*.f6436.5
Simplified36.5%
if 0.044999999999999998 < (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 58.9%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified43.0%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6414.6
Simplified14.6%
Applied egg-rr14.6%
Applied egg-rr28.7%
Final simplification29.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3 (cos (- lambda1 lambda2))))
(if (<= (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 0.045)
(*
2.0
(*
R
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* t_3 -0.5)))))))))
(*
2.0
(*
R
(atan2
(pow (fma t_0 -0.5 0.5) 0.5)
(sqrt
(-
(fma 0.5 t_0 0.5)
(* (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 t_3))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = cos((lambda1 - lambda2));
double tmp;
if (atan2(sqrt(t_2), sqrt((1.0 - t_2))) <= 0.045) {
tmp = 2.0 * (R * atan2(sin((0.5 * (phi1 - phi2))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (t_3 * -0.5))))))));
} else {
tmp = 2.0 * (R * atan2(pow(fma(t_0, -0.5, 0.5), 0.5), sqrt((fma(0.5, t_0, 0.5) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * t_3))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = cos(Float64(lambda1 - lambda2)) tmp = 0.0 if (atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) <= 0.045) tmp = Float64(2.0 * Float64(R * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(t_3 * -0.5))))))))); else tmp = Float64(2.0 * Float64(R * atan((fma(t_0, -0.5, 0.5) ^ 0.5), sqrt(Float64(fma(0.5, t_0, 0.5) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * t_3))))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.045], N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(t$95$3 * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(R * N[ArcTan[N[Power[N[(t$95$0 * -0.5 + 0.5), $MachinePrecision], 0.5], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * t$95$0 + 0.5), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.045:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + t\_3 \cdot -0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{{\left(\mathsf{fma}\left(t\_0, -0.5, 0.5\right)\right)}^{0.5}}{\sqrt{\mathsf{fma}\left(0.5, t\_0, 0.5\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot t\_3\right)\right)}}\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)))))))) < 0.044999999999999998Initial program 80.9%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified71.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6436.5
Simplified36.5%
Applied egg-rr36.5%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6436.5
Simplified36.5%
if 0.044999999999999998 < (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 58.9%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified43.0%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6414.6
Simplified14.6%
Applied egg-rr14.6%
Applied egg-rr28.7%
Final simplification29.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_4
(*
R
(*
2.0
(atan2
(pow
(pow
(fma
t_0
(fma (cos (- lambda1 lambda2)) -0.5 0.5)
(fma (cos (- phi1 phi2)) -0.5 0.5))
2.0)
0.25)
(sqrt (- 1.0 (+ t_1 (* t_2 (* t_0 t_2))))))))))
(if (<= t_2 -0.08)
t_4
(if (<= t_2 0.005)
(*
R
(*
2.0
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) t_3) t_1))
(sqrt (- 1.0 (+ t_1 (* (cos phi1) t_3)))))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_4 = R * (2.0 * atan2(pow(pow(fma(t_0, fma(cos((lambda1 - lambda2)), -0.5, 0.5), fma(cos((phi1 - phi2)), -0.5, 0.5)), 2.0), 0.25), sqrt((1.0 - (t_1 + (t_2 * (t_0 * t_2)))))));
double tmp;
if (t_2 <= -0.08) {
tmp = t_4;
} else if (t_2 <= 0.005) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * t_3), t_1)), sqrt((1.0 - (t_1 + (cos(phi1) * t_3))))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_4 = Float64(R * Float64(2.0 * atan(((fma(t_0, fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5), fma(cos(Float64(phi1 - phi2)), -0.5, 0.5)) ^ 2.0) ^ 0.25), sqrt(Float64(1.0 - Float64(t_1 + Float64(t_2 * Float64(t_0 * t_2)))))))) tmp = 0.0 if (t_2 <= -0.08) tmp = t_4; elseif (t_2 <= 0.005) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * t_3), t_1)), sqrt(Float64(1.0 - Float64(t_1 + Float64(cos(phi1) * t_3))))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Power[N[Power[N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] + N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], 0.25], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -0.08], t$95$4, If[LessEqual[t$95$2, 0.005], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[Cos[phi1], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{{\left({\left(\mathsf{fma}\left(t\_0, \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right), \mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), -0.5, 0.5\right)\right)\right)}^{2}\right)}^{0.25}}{\sqrt{1 - \left(t\_1 + t\_2 \cdot \left(t\_0 \cdot t\_2\right)\right)}}\right)\\
\mathbf{if}\;t\_2 \leq -0.08:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;t\_2 \leq 0.005:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_3, t\_1\right)}}{\sqrt{1 - \left(t\_1 + \cos \phi_1 \cdot t\_3\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.0800000000000000017 or 0.0050000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 56.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6457.3
Applied egg-rr57.3%
Applied egg-rr57.9%
if -0.0800000000000000017 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.0050000000000000001Initial program 70.9%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6472.2
Applied egg-rr72.2%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied egg-rr93.5%
Taylor expanded in phi2 around inf
+-commutativeN/A
mul-1-negN/A
sub-negN/A
lower-fma.f64N/A
Simplified93.5%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-cos.f6490.1
Simplified90.1%
Final simplification67.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_4
(*
R
(*
2.0
(atan2
(pow
(pow
(fma
t_0
(fma (cos (- lambda1 lambda2)) -0.5 0.5)
(fma (cos (- phi1 phi2)) -0.5 0.5))
2.0)
0.25)
(sqrt (- 1.0 (+ t_1 (* t_2 (* t_0 t_2))))))))))
(if (<= t_2 -0.2)
t_4
(if (<= t_2 0.005)
(*
R
(*
2.0
(atan2 (sqrt (fma (cos phi1) t_3 t_1)) (sqrt (- 1.0 (+ t_1 t_3))))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_4 = R * (2.0 * atan2(pow(pow(fma(t_0, fma(cos((lambda1 - lambda2)), -0.5, 0.5), fma(cos((phi1 - phi2)), -0.5, 0.5)), 2.0), 0.25), sqrt((1.0 - (t_1 + (t_2 * (t_0 * t_2)))))));
double tmp;
if (t_2 <= -0.2) {
tmp = t_4;
} else if (t_2 <= 0.005) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), t_3, t_1)), sqrt((1.0 - (t_1 + t_3)))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0 t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_4 = Float64(R * Float64(2.0 * atan(((fma(t_0, fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5), fma(cos(Float64(phi1 - phi2)), -0.5, 0.5)) ^ 2.0) ^ 0.25), sqrt(Float64(1.0 - Float64(t_1 + Float64(t_2 * Float64(t_0 * t_2)))))))) tmp = 0.0 if (t_2 <= -0.2) tmp = t_4; elseif (t_2 <= 0.005) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), t_3, t_1)), sqrt(Float64(1.0 - Float64(t_1 + t_3)))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Power[N[Power[N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] + N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], 0.25], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$2, -0.2], t$95$4, If[LessEqual[t$95$2, 0.005], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$3 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{{\left({\left(\mathsf{fma}\left(t\_0, \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right), \mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), -0.5, 0.5\right)\right)\right)}^{2}\right)}^{0.25}}{\sqrt{1 - \left(t\_1 + t\_2 \cdot \left(t\_0 \cdot t\_2\right)\right)}}\right)\\
\mathbf{if}\;t\_2 \leq -0.2:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;t\_2 \leq 0.005:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_3, t\_1\right)}}{\sqrt{1 - \left(t\_1 + t\_3\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.20000000000000001 or 0.0050000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 55.1%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6456.3
Applied egg-rr56.3%
Applied egg-rr57.0%
if -0.20000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.0050000000000000001Initial program 71.2%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6472.3
Applied egg-rr72.3%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied egg-rr91.2%
Taylor expanded in phi2 around inf
+-commutativeN/A
mul-1-negN/A
sub-negN/A
lower-fma.f64N/A
Simplified91.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower--.f6487.7
Simplified87.7%
Final simplification67.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
t_0))
(sqrt
(-
1.0
(+
t_0
(*
(cos phi2)
(* (cos phi1) (fma (cos (- lambda1 lambda2)) -0.5 0.5)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0);
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), t_0)), sqrt((1.0 - (t_0 + (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), t_0)), sqrt(Float64(1.0 - Float64(t_0 + Float64(cos(phi2) * Float64(cos(phi1) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, t\_0\right)}}{\sqrt{1 - \left(t\_0 + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 60.5%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6461.8
Applied egg-rr61.8%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied egg-rr78.1%
Taylor expanded in phi2 around inf
+-commutativeN/A
mul-1-negN/A
sub-negN/A
lower-fma.f64N/A
Simplified78.1%
Applied egg-rr78.2%
Final simplification78.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(+
t_2
(pow
(fma (sin (* phi1 0.5)) (cos t_0) (* (cos (* phi1 0.5)) (sin t_0)))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * -phi2;
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * ((cos(phi1) * cos(phi2)) * t_1);
return R * (2.0 * atan2(sqrt((t_2 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (t_2 + pow(fma(sin((phi1 * 0.5)), cos(t_0), (cos((phi1 * 0.5)) * sin(t_0))), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(-phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_2 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_2 + (fma(sin(Float64(phi1 * 0.5)), cos(t_0), Float64(cos(Float64(phi1 * 0.5)) * sin(t_0))) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * (-phi2)), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$2 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[t$95$0], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(-\phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \left(t\_2 + {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos t\_0, \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin t\_0\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 60.5%
div-subN/A
sub-negN/A
sin-sumN/A
lower-fma.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-neg.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6461.8
Applied egg-rr61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* t_0 (* (* (cos phi1) (cos phi2)) t_0))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(+
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)
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 = t_0 * ((cos(phi1) * cos(phi2)) * t_0);
return R * (2.0 * atan2(sqrt((t_1 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0) + 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 = t_0 * ((cos(phi1) * cos(phi2)) * t_0)
code = r * (2.0d0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - ((((sin((phi1 * 0.5d0)) * cos((0.5d0 * phi2))) - (cos((phi1 * 0.5d0)) * sin((0.5d0 * phi2)))) ** 2.0d0) + 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 = t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - (Math.pow(((Math.sin((phi1 * 0.5)) * Math.cos((0.5 * phi2))) - (Math.cos((phi1 * 0.5)) * Math.sin((0.5 * phi2)))), 2.0) + t_1)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0) return R * (2.0 * math.atan2(math.sqrt((t_1 + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - (math.pow(((math.sin((phi1 * 0.5)) * math.cos((0.5 * phi2))) - (math.cos((phi1 * 0.5)) * math.sin((0.5 * phi2)))), 2.0) + t_1)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64((Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0) + t_1)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0); tmp = R * (2.0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - ((((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))) ^ 2.0) + 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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \left({\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2} + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 60.5%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6461.8
Applied egg-rr61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_1 (sin (* phi1 0.5)))
(t_2 (cos (* phi1 0.5)))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(if (<=
(+
(* t_3 (* (* (cos phi1) (cos phi2)) t_3))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
1e-5)
(*
2.0
(*
R
(atan2
(fma
phi2
(fma
phi2
(fma -0.125 t_1 (* t_2 (* phi2 0.020833333333333332)))
(* t_2 -0.5))
t_1)
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2)))))))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_4)) (- 0.5 t_0)))
(sqrt (+ (+ 0.5 t_0) (* (cos phi1) (* (cos phi2) (- t_4 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_1 = sin((phi1 * 0.5));
double t_2 = cos((phi1 * 0.5));
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double tmp;
if (((t_3 * ((cos(phi1) * cos(phi2)) * t_3)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 1e-5) {
tmp = 2.0 * (R * atan2(fma(phi2, fma(phi2, fma(-0.125, t_1, (t_2 * (phi2 * 0.020833333333333332))), (t_2 * -0.5)), t_1), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_4)), (0.5 - t_0))), sqrt(((0.5 + t_0) + (cos(phi1) * (cos(phi2) * (t_4 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_1 = sin(Float64(phi1 * 0.5)) t_2 = cos(Float64(phi1 * 0.5)) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) tmp = 0.0 if (Float64(Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 1e-5) tmp = Float64(2.0 * Float64(R * atan(fma(phi2, fma(phi2, fma(-0.125, t_1, Float64(t_2 * Float64(phi2 * 0.020833333333333332))), Float64(t_2 * -0.5)), t_1), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2))))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_4)), Float64(0.5 - t_0))), sqrt(Float64(Float64(0.5 + t_0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_4 - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$3 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 1e-5], N[(2.0 * N[(R * N[ArcTan[N[(phi2 * N[(phi2 * N[(-0.125 * t$95$1 + N[(t$95$2 * N[(phi2 * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$4), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$0), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$4 - 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(\phi_1 - \phi_2\right)\right)\right)\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
\mathbf{if}\;t\_3 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 10^{-5}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.125, t\_1, t\_2 \cdot \left(\phi_2 \cdot 0.020833333333333332\right)\right), t\_2 \cdot -0.5\right), t\_1\right)}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_4\right), 0.5 - t\_0\right)}}{\sqrt{\left(0.5 + t\_0\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_4 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.00000000000000008e-5Initial program 68.4%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified60.6%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6433.8
Simplified33.8%
Applied egg-rr33.8%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-fma.f64N/A
Simplified35.4%
if 1.00000000000000008e-5 < (+.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 59.8%
Applied egg-rr59.8%
Final simplification57.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (* phi1 0.5)))
(t_2 (cos (- lambda1 lambda2)))
(t_3 (cos (* phi1 0.5)))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (fma 0.5 (cos (- phi1 phi2)) 0.5)))
(if (<= (+ (* t_4 (* t_0 t_4)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 1e-5)
(*
2.0
(*
R
(atan2
(fma
phi2
(fma
phi2
(fma -0.125 t_1 (* t_3 (* phi2 0.020833333333333332)))
(* t_3 -0.5))
t_1)
(sqrt (- t_5 (* (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 t_2)))))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 (* lambda2 -0.5))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt (- t_5 (* t_0 (fma t_2 -0.5 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin((phi1 * 0.5));
double t_2 = cos((lambda1 - lambda2));
double t_3 = cos((phi1 * 0.5));
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = fma(0.5, cos((phi1 - phi2)), 0.5);
double tmp;
if (((t_4 * (t_0 * t_4)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 1e-5) {
tmp = 2.0 * (R * atan2(fma(phi2, fma(phi2, fma(-0.125, t_1, (t_3 * (phi2 * 0.020833333333333332))), (t_3 * -0.5)), t_1), sqrt((t_5 - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * t_2))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (lambda2 * -0.5)))))), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((t_5 - (t_0 * fma(t_2, -0.5, 0.5)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = cos(Float64(lambda1 - lambda2)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = fma(0.5, cos(Float64(phi1 - phi2)), 0.5) tmp = 0.0 if (Float64(Float64(t_4 * Float64(t_0 * t_4)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 1e-5) tmp = Float64(2.0 * Float64(R * atan(fma(phi2, fma(phi2, fma(-0.125, t_1, Float64(t_3 * Float64(phi2 * 0.020833333333333332))), Float64(t_3 * -0.5)), t_1), sqrt(Float64(t_5 - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * t_2))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(lambda2 * -0.5)))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(phi2 - phi1)))))))), sqrt(Float64(t_5 - Float64(t_0 * fma(t_2, -0.5, 0.5)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$4 * N[(t$95$0 * t$95$4), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 1e-5], N[(2.0 * N[(R * N[ArcTan[N[(phi2 * N[(phi2 * N[(-0.125 * t$95$1 + N[(t$95$3 * N[(phi2 * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] / N[Sqrt[N[(t$95$5 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(lambda2 * -0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$5 - N[(t$95$0 * N[(t$95$2 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\\
\mathbf{if}\;t\_4 \cdot \left(t\_0 \cdot t\_4\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 10^{-5}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.125, t\_1, t\_3 \cdot \left(\phi_2 \cdot 0.020833333333333332\right)\right), t\_3 \cdot -0.5\right), t\_1\right)}{\sqrt{t\_5 - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot t\_2\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\lambda_2 \cdot -0.5\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)\right)\right)}}{\sqrt{t\_5 - t\_0 \cdot \mathsf{fma}\left(t\_2, -0.5, 0.5\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 1.00000000000000008e-5Initial program 68.4%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified60.6%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6433.8
Simplified33.8%
Applied egg-rr33.8%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-fma.f64N/A
Simplified35.4%
if 1.00000000000000008e-5 < (+.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 59.8%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified43.7%
Applied egg-rr43.5%
Final simplification42.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (cos (* phi1 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (- phi1 phi2)))
(t_4
(sqrt
(-
(fma 0.5 t_3 0.5)
(*
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (- lambda1 lambda2))))))))))
(if (<=
(+
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.002)
(*
2.0
(*
R
(atan2
(fma
phi2
(fma
phi2
(fma -0.125 t_0 (* t_1 (* phi2 0.020833333333333332)))
(* t_1 -0.5))
t_0)
t_4)))
(* 2.0 (* R (atan2 (pow (fma t_3 -0.5 0.5) 0.5) t_4))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = cos((phi1 * 0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((phi1 - phi2));
double t_4 = sqrt((fma(0.5, t_3, 0.5) - (cos(phi1) * (cos(phi2) * (0.5 - (0.5 * cos((lambda1 - lambda2))))))));
double tmp;
if (((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.002) {
tmp = 2.0 * (R * atan2(fma(phi2, fma(phi2, fma(-0.125, t_0, (t_1 * (phi2 * 0.020833333333333332))), (t_1 * -0.5)), t_0), t_4));
} else {
tmp = 2.0 * (R * atan2(pow(fma(t_3, -0.5, 0.5), 0.5), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = cos(Float64(phi1 * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(phi1 - phi2)) t_4 = sqrt(Float64(fma(0.5, t_3, 0.5) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(lambda1 - lambda2)))))))) tmp = 0.0 if (Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.002) tmp = Float64(2.0 * Float64(R * atan(fma(phi2, fma(phi2, fma(-0.125, t_0, Float64(t_1 * Float64(phi2 * 0.020833333333333332))), Float64(t_1 * -0.5)), t_0), t_4))); else tmp = Float64(2.0 * Float64(R * atan((fma(t_3, -0.5, 0.5) ^ 0.5), t_4))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(N[(0.5 * t$95$3 + 0.5), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.002], N[(2.0 * N[(R * N[ArcTan[N[(phi2 * N[(phi2 * N[(-0.125 * t$95$0 + N[(t$95$1 * N[(phi2 * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * -0.5), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(R * N[ArcTan[N[Power[N[(t$95$3 * -0.5 + 0.5), $MachinePrecision], 0.5], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\phi_1 - \phi_2\right)\\
t_4 := \sqrt{\mathsf{fma}\left(0.5, t\_3, 0.5\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
\mathbf{if}\;t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.002:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.125, t\_0, t\_1 \cdot \left(\phi_2 \cdot 0.020833333333333332\right)\right), t\_1 \cdot -0.5\right), t\_0\right)}{t\_4}\right)\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{{\left(\mathsf{fma}\left(t\_3, -0.5, 0.5\right)\right)}^{0.5}}{t\_4}\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 2e-3Initial program 64.1%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified57.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6431.3
Simplified31.3%
Applied egg-rr31.3%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-fma.f64N/A
Simplified32.8%
if 2e-3 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 60.2%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified43.9%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6414.7
Simplified14.7%
Applied egg-rr14.7%
Applied egg-rr28.9%
Final simplification29.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(fma
(* (fma (cos (- lambda1 lambda2)) -0.5 0.5) (- (cos phi1)))
(cos phi2)
(fma 0.5 (cos (- phi1 phi2)) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0))), sqrt(fma((fma(cos((lambda1 - lambda2)), -0.5, 0.5) * -cos(phi1)), cos(phi2), fma(0.5, cos((phi1 - phi2)), 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), (Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(fma(Float64(fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5) * Float64(-cos(phi1))), cos(phi2), fma(0.5, cos(Float64(phi1 - phi2)), 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] * (-N[Cos[phi1], $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}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right) \cdot \left(-\cos \phi_1\right), \cos \phi_2, \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\right)}}\right)
\end{array}
Initial program 60.5%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6461.8
Applied egg-rr61.8%
div-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
sin-diffN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
sub-negN/A
+-commutativeN/A
Applied egg-rr78.1%
Taylor expanded in phi2 around inf
+-commutativeN/A
mul-1-negN/A
sub-negN/A
lower-fma.f64N/A
Simplified78.1%
Applied egg-rr61.5%
Final simplification61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(/
(fma
(- (cos (+ t_0 (* 0.5 (- phi2 phi1)))) (cos (* 2.0 t_0)))
2.0
(*
2.0
(*
(+ (cos (- phi1 phi2)) (cos (+ phi1 phi2)))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))))
4.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (fma((cos((t_0 + (0.5 * (phi2 - phi1)))) - cos((2.0 * t_0))), 2.0, (2.0 * ((cos((phi1 - phi2)) + cos((phi1 + phi2))) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))))) / 4.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(t_0 + Float64(0.5 * Float64(phi2 - phi1)))) - cos(Float64(2.0 * t_0))), 2.0, Float64(2.0 * Float64(Float64(cos(Float64(phi1 - phi2)) + cos(Float64(phi1 + phi2))) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))))) / 4.0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(t$95$0 + N[(0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 2.0 + N[(2.0 * N[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 4.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \frac{\mathsf{fma}\left(\cos \left(t\_0 + 0.5 \cdot \left(\phi_2 - \phi_1\right)\right) - \cos \left(2 \cdot t\_0\right), 2, 2 \cdot \left(\left(\cos \left(\phi_1 - \phi_2\right) + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right)\right)\right)}{4}}}\right)
\end{array}
\end{array}
Initial program 60.5%
Applied egg-rr61.2%
Final simplification61.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (* 0.5 (- phi1 phi2)))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(fma
t_2
t_2
(*
t_0
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((0.5 * (phi1 - phi2)));
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(fma(t_2, t_2, (t_0 * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(0.5 * Float64(phi1 - phi2))) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(fma(t_2, t_2, Float64(t_0 * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$2 * t$95$2 + N[(t$95$0 * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\mathsf{fma}\left(t\_2, t\_2, t\_0 \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 60.5%
Applied egg-rr60.6%
Final simplification60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5d0 * cos((2.0d0 * (0.5d0 * (lambda1 - lambda2))))) - 0.5d0)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt(((t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0)) + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (Math.cos(phi1) * (Math.cos(phi2) * ((0.5 * Math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt(((t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0)) + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (math.cos(phi1) * (math.cos(phi2) * ((0.5 * math.cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right) - 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 60.5%
Applied egg-rr60.6%
Final simplification60.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* 0.5 (- phi1 phi2))))
(*
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_0)) (pow (sin t_1) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_1))))
(* (cos phi1) (* (cos phi2) (- t_0 0.5))))))
(* R 2.0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_1 = 0.5 * (phi1 - phi2);
return atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), pow(sin(t_1), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5)))))) * (R * 2.0);
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_1 = Float64(0.5 * Float64(phi1 - phi2)) return Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_0)), (sin(t_1) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_1)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5)))))) * Float64(R * 2.0)) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_0\right), {\sin t\_1}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 60.5%
Applied egg-rr55.3%
lift--.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lift-sin.f64N/A
unpow2N/A
lift-pow.f6458.4
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6458.4
Applied egg-rr58.4%
Final simplification58.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_2 (- 0.5 t_1))
(t_3 (+ 0.5 t_1)))
(if (<= lambda2 -0.0023)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 (* lambda2 -0.5))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(* (cos phi1) (cos phi2))
(fma (cos (- lambda1 lambda2)) -0.5 0.5))))))
(if (<= lambda2 2400000000000.0)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 (cos lambda1)))) t_2))
(sqrt (+ t_3 (* (cos phi1) (* (cos phi2) (- t_0 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_0)) t_2))
(sqrt
(+
t_3
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos lambda2)) 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 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_2 = 0.5 - t_1;
double t_3 = 0.5 + t_1;
double tmp;
if (lambda2 <= -0.0023) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (lambda2 * -0.5)))))), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - ((cos(phi1) * cos(phi2)) * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
} else if (lambda2 <= 2400000000000.0) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(lambda1)))), t_2)), sqrt((t_3 + (cos(phi1) * (cos(phi2) * (t_0 - 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), t_2)), sqrt((t_3 + (cos(phi1) * (cos(phi2) * ((0.5 * cos(lambda2)) - 0.5))))));
}
return tmp;
}
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 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_2 = Float64(0.5 - t_1) t_3 = Float64(0.5 + t_1) tmp = 0.0 if (lambda2 <= -0.0023) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(lambda2 * -0.5)))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(phi2 - phi1)))))))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(Float64(cos(phi1) * cos(phi2)) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))))); elseif (lambda2 <= 2400000000000.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(lambda1)))), t_2)), sqrt(Float64(t_3 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_0)), t_2)), sqrt(Float64(t_3 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(lambda2)) - 0.5))))))); end return tmp 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[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 - t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 + t$95$1), $MachinePrecision]}, If[LessEqual[lambda2, -0.0023], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(lambda2 * -0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda2, 2400000000000.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] - 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 \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := 0.5 - t\_1\\
t_3 := 0.5 + t\_1\\
\mathbf{if}\;\lambda_2 \leq -0.0023:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\lambda_2 \cdot -0.5\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}\\
\mathbf{elif}\;\lambda_2 \leq 2400000000000:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \lambda_1\right), t\_2\right)}}{\sqrt{t\_3 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_0\right), t\_2\right)}}{\sqrt{t\_3 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \lambda_2 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if lambda2 < -0.0023Initial program 48.4%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified48.7%
Applied egg-rr48.6%
if -0.0023 < lambda2 < 2.4e12Initial program 75.1%
Applied egg-rr65.2%
Taylor expanded in lambda2 around 0
lower-cos.f6465.2
Simplified65.2%
if 2.4e12 < lambda2 Initial program 40.4%
Applied egg-rr40.4%
Taylor expanded in lambda1 around 0
cos-negN/A
lower-cos.f6440.9
Simplified40.9%
Final simplification55.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos (* 2.0 (* lambda2 -0.5))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(* (cos phi1) (cos phi2))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))))))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(if (<= lambda2 -0.0023)
t_0
(if (<= lambda2 0.35)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 (* 0.5 (cos lambda1))))
(- 0.5 t_1)))
(sqrt
(+
(+ 0.5 t_1)
(*
(cos phi1)
(*
(cos phi2)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))))))
t_0))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (lambda2 * -0.5)))))), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - ((cos(phi1) * cos(phi2)) * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
double t_1 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double tmp;
if (lambda2 <= -0.0023) {
tmp = t_0;
} else if (lambda2 <= 0.35) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(lambda1)))), (0.5 - t_1))), sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))))));
} else {
tmp = t_0;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(lambda2 * -0.5)))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(phi2 - phi1)))))))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(Float64(cos(phi1) * cos(phi2)) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))))) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) tmp = 0.0 if (lambda2 <= -0.0023) tmp = t_0; elseif (lambda2 <= 0.35) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(lambda1)))), Float64(0.5 - t_1))), sqrt(Float64(Float64(0.5 + t_1) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5))))))); else tmp = t_0; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(lambda2 * -0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -0.0023], t$95$0, If[LessEqual[lambda2, 0.35], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$1), $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], t$95$0]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(\lambda_2 \cdot -0.5\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
\mathbf{if}\;\lambda_2 \leq -0.0023:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_2 \leq 0.35:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \lambda_1\right), 0.5 - t\_1\right)}}{\sqrt{\left(0.5 + t\_1\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)}}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda2 < -0.0023 or 0.34999999999999998 < lambda2 Initial program 43.7%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified44.0%
Applied egg-rr44.0%
if -0.0023 < lambda2 < 0.34999999999999998Initial program 76.3%
Applied egg-rr66.2%
Taylor expanded in lambda2 around 0
lower-cos.f6466.2
Simplified66.2%
Final simplification55.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (sin (* 0.5 (- phi1 phi2)))))
(if (<= phi2 -9.5e+36)
(*
2.0
(*
R
(atan2
t_1
(sqrt
(+
(fma 0.5 (cos phi2) 0.5)
(* (cos phi1) (* (cos phi2) (- (* 0.5 t_0) 0.5))))))))
(*
2.0
(*
R
(atan2
t_1
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* t_0 -0.5))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sin((0.5 * (phi1 - phi2)));
double tmp;
if (phi2 <= -9.5e+36) {
tmp = 2.0 * (R * atan2(t_1, sqrt((fma(0.5, cos(phi2), 0.5) + (cos(phi1) * (cos(phi2) * ((0.5 * t_0) - 0.5)))))));
} else {
tmp = 2.0 * (R * atan2(t_1, sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (t_0 * -0.5))))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sin(Float64(0.5 * Float64(phi1 - phi2))) tmp = 0.0 if (phi2 <= -9.5e+36) tmp = Float64(2.0 * Float64(R * atan(t_1, sqrt(Float64(fma(0.5, cos(phi2), 0.5) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * t_0) - 0.5)))))))); else tmp = Float64(2.0 * Float64(R * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(t_0 * -0.5))))))))); 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[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -9.5e+36], N[(2.0 * N[(R * N[ArcTan[t$95$1 / N[Sqrt[N[(N[(0.5 * N[Cos[phi2], $MachinePrecision] + 0.5), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * t$95$0), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(R * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(t$95$0 * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
\mathbf{if}\;\phi_2 \leq -9.5 \cdot 10^{+36}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{\mathsf{fma}\left(0.5, \cos \phi_2, 0.5\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot t\_0 - 0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + t\_0 \cdot -0.5\right)\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -9.49999999999999974e36Initial program 48.4%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified44.4%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6418.5
Simplified18.5%
Applied egg-rr18.5%
Taylor expanded in phi1 around 0
cos-negN/A
lower-cos.f6418.4
Simplified18.4%
if -9.49999999999999974e36 < phi2 Initial program 64.0%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified45.3%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6415.6
Simplified15.6%
Applied egg-rr15.6%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6415.3
Simplified15.3%
Final simplification16.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
2.0
(*
R
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* (* (cos phi1) (cos phi2)) (+ 0.5 (* -0.5 (cos lambda2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * atan2(sin((0.5 * (phi1 - phi2))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - ((cos(phi1) * cos(phi2)) * (0.5 + (-0.5 * cos(lambda2))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(2.0 * Float64(R * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(Float64(cos(phi1) * cos(phi2)) * Float64(0.5 + Float64(-0.5 * cos(lambda2))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(0.5 + -0.5 \cdot \cos \lambda_2\right)}}\right)
\end{array}
Initial program 60.5%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified45.1%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6416.2
Simplified16.2%
Applied egg-rr16.3%
Taylor expanded in lambda1 around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
associate-*r*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
cos-negN/A
lower-cos.f6416.3
Simplified16.3%
Final simplification16.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
2.0
(*
R
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* (cos phi1) (* (cos phi2) (+ 0.5 (* -0.5 (cos lambda1)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * atan2(sin((0.5 * (phi1 - phi2))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos(lambda1)))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(2.0 * Float64(R * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * cos(lambda1)))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + -0.5 \cdot \cos \lambda_1\right)\right)}}\right)
\end{array}
Initial program 60.5%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified45.1%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6416.2
Simplified16.2%
Applied egg-rr16.3%
Taylor expanded in lambda2 around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f6416.0
Simplified16.0%
Final simplification16.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (+ 0.5 (* (cos (- lambda1 lambda2)) -0.5))))
(t_1 (sin (* 0.5 (- phi1 phi2)))))
(if (<= phi2 -9e+60)
(* 2.0 (* R (atan2 t_1 (sqrt (+ 0.5 (* (cos phi2) t_0))))))
(* 2.0 (* R (atan2 t_1 (sqrt (+ 0.5 (* (cos phi1) t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 + (cos((lambda1 - lambda2)) * -0.5));
double t_1 = sin((0.5 * (phi1 - phi2)));
double tmp;
if (phi2 <= -9e+60) {
tmp = 2.0 * (R * atan2(t_1, sqrt((0.5 + (cos(phi2) * t_0)))));
} else {
tmp = 2.0 * (R * atan2(t_1, sqrt((0.5 + (cos(phi1) * t_0)))));
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 0.5d0 - (0.5d0 + (cos((lambda1 - lambda2)) * (-0.5d0)))
t_1 = sin((0.5d0 * (phi1 - phi2)))
if (phi2 <= (-9d+60)) then
tmp = 2.0d0 * (r * atan2(t_1, sqrt((0.5d0 + (cos(phi2) * t_0)))))
else
tmp = 2.0d0 * (r * atan2(t_1, sqrt((0.5d0 + (cos(phi1) * t_0)))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 + (Math.cos((lambda1 - lambda2)) * -0.5));
double t_1 = Math.sin((0.5 * (phi1 - phi2)));
double tmp;
if (phi2 <= -9e+60) {
tmp = 2.0 * (R * Math.atan2(t_1, Math.sqrt((0.5 + (Math.cos(phi2) * t_0)))));
} else {
tmp = 2.0 * (R * Math.atan2(t_1, Math.sqrt((0.5 + (Math.cos(phi1) * t_0)))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = 0.5 - (0.5 + (math.cos((lambda1 - lambda2)) * -0.5)) t_1 = math.sin((0.5 * (phi1 - phi2))) tmp = 0 if phi2 <= -9e+60: tmp = 2.0 * (R * math.atan2(t_1, math.sqrt((0.5 + (math.cos(phi2) * t_0))))) else: tmp = 2.0 * (R * math.atan2(t_1, math.sqrt((0.5 + (math.cos(phi1) * t_0))))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 + Float64(cos(Float64(lambda1 - lambda2)) * -0.5))) t_1 = sin(Float64(0.5 * Float64(phi1 - phi2))) tmp = 0.0 if (phi2 <= -9e+60) tmp = Float64(2.0 * Float64(R * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi2) * t_0)))))); else tmp = Float64(2.0 * Float64(R * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi1) * t_0)))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = 0.5 - (0.5 + (cos((lambda1 - lambda2)) * -0.5)); t_1 = sin((0.5 * (phi1 - phi2))); tmp = 0.0; if (phi2 <= -9e+60) tmp = 2.0 * (R * atan2(t_1, sqrt((0.5 + (cos(phi2) * t_0))))); else tmp = 2.0 * (R * atan2(t_1, sqrt((0.5 + (cos(phi1) * t_0))))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 + N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -9e+60], N[(2.0 * N[(R * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(R * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - \left(0.5 + \cos \left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\\
t_1 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
\mathbf{if}\;\phi_2 \leq -9 \cdot 10^{+60}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_2 \cdot t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_1 \cdot t\_0}}\right)\\
\end{array}
\end{array}
if phi2 < -9.00000000000000026e60Initial program 50.0%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified45.5%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6418.9
Simplified18.9%
Applied egg-rr18.9%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6418.8
Simplified18.8%
if -9.00000000000000026e60 < phi2 Initial program 63.2%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified45.0%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6415.6
Simplified15.6%
Applied egg-rr15.6%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6415.2
Simplified15.2%
Final simplification16.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
2.0
(*
R
(atan2
(sin (* 0.5 (- phi1 phi2)))
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* (cos (- lambda1 lambda2)) -0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * atan2(sin((0.5 * (phi1 - phi2))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (cos((lambda1 - lambda2)) * -0.5))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = 2.0d0 * (r * atan2(sin((0.5d0 * (phi1 - phi2))), sqrt((0.5d0 + (cos(phi1) * (0.5d0 - (0.5d0 + (cos((lambda1 - lambda2)) * (-0.5d0)))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return 2.0 * (R * Math.atan2(Math.sin((0.5 * (phi1 - phi2))), Math.sqrt((0.5 + (Math.cos(phi1) * (0.5 - (0.5 + (Math.cos((lambda1 - lambda2)) * -0.5))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return 2.0 * (R * math.atan2(math.sin((0.5 * (phi1 - phi2))), math.sqrt((0.5 + (math.cos(phi1) * (0.5 - (0.5 + (math.cos((lambda1 - lambda2)) * -0.5))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(2.0 * Float64(R * atan(sin(Float64(0.5 * Float64(phi1 - phi2))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(cos(Float64(lambda1 - lambda2)) * -0.5))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = 2.0 * (R * atan2(sin((0.5 * (phi1 - phi2))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (cos((lambda1 - lambda2)) * -0.5)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(2.0 * N[(R * N[ArcTan[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + \cos \left(\lambda_1 - \lambda_2\right) \cdot -0.5\right)\right)}}\right)
\end{array}
Initial program 60.5%
Taylor expanded in lambda1 around 0
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
sub-negN/A
mul-1-negN/A
lower-pow.f64N/A
Simplified45.1%
Taylor expanded in lambda2 around 0
sub-negN/A
mul-1-negN/A
lower-sin.f64N/A
lower-*.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6416.2
Simplified16.2%
Applied egg-rr16.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
lower-+.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6414.2
Simplified14.2%
Final simplification14.2%
herbie shell --seed 2024207
(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))))))))))