
(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 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_2 (cos (* -0.5 phi2)) (* (sin (* -0.5 phi2)) t_0)) 2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(+
(-
(*
(cos phi2)
(*
(cos phi1)
(-
(*
0.5
(fma (cos lambda1) (cos lambda2) (* (sin lambda1) (sin lambda2))))
0.5)))
(pow (- (* t_2 (cos (* 0.5 phi2))) (* t_0 (sin (* 0.5 phi2)))) 2.0))
1.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow(fma(t_2, cos((-0.5 * phi2)), (sin((-0.5 * phi2)) * t_0)), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((((cos(phi2) * (cos(phi1) * ((0.5 * fma(cos(lambda1), cos(lambda2), (sin(lambda1) * sin(lambda2)))) - 0.5))) - pow(((t_2 * cos((0.5 * phi2))) - (t_0 * sin((0.5 * phi2)))), 2.0)) + 1.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_2, cos(Float64(-0.5 * phi2)), Float64(sin(Float64(-0.5 * phi2)) * t_0)) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(Float64(Float64(cos(phi2) * Float64(cos(phi1) * Float64(Float64(0.5 * fma(cos(lambda1), cos(lambda2), Float64(sin(lambda1) * sin(lambda2)))) - 0.5))) - (Float64(Float64(t_2 * cos(Float64(0.5 * phi2))) - Float64(t_0 * sin(Float64(0.5 * phi2)))) ^ 2.0)) + 1.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$2 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 * N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(t$95$2 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$0 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sin \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_2, \cos \left(-0.5 \cdot \phi_2\right), \sin \left(-0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{\left(\cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(0.5 \cdot \mathsf{fma}\left(\cos \lambda_1, \cos \lambda_2, \sin \lambda_1 \cdot \sin \lambda_2\right) - 0.5\right)\right) - {\left(t\_2 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_0 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right) + 1}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-*.f6462.5
Applied rewrites62.5%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites76.6%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites76.7%
lift--.f64N/A
*-commutativeN/A
associate-*r*N/A
metadata-evalN/A
*-lft-identityN/A
lift--.f64N/A
cos-diffN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f6477.3
Applied rewrites77.3%
Final simplification77.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (+ (* t_0 (* t_1 t_0)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3 (fma 0.5 (cos (- phi1 phi2)) 0.5)))
(if (<= (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 0.3482)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_1
(* 0.25 (* lambda1 lambda1))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt
(- t_3 (* (cos phi2) (* (cos phi1) (fma -0.5 (cos lambda2) 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* -0.5 (cos (- phi2 phi1)))))
(sqrt
(-
t_3
(*
(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 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = (t_0 * (t_1 * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma(0.5, cos((phi1 - phi2)), 0.5);
double tmp;
if (atan2(sqrt(t_2), sqrt((1.0 - t_2))) <= 0.3482) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_1, (0.25 * (lambda1 * lambda1)), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((t_3 - (cos(phi2) * (cos(phi1) * fma(-0.5, cos(lambda2), 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (-0.5 * cos((phi2 - phi1))))), sqrt((t_3 - (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(t_0 * Float64(t_1 * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = fma(0.5, cos(Float64(phi1 - phi2)), 0.5) tmp = 0.0 if (atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) <= 0.3482) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_1, Float64(0.25 * Float64(lambda1 * lambda1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(phi2 - phi1)))))))), sqrt(Float64(t_3 - Float64(cos(phi2) * Float64(cos(phi1) * fma(-0.5, cos(lambda2), 0.5))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi2 - phi1))))), sqrt(Float64(t_3 - Float64(cos(phi2) * Float64(cos(phi1) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.3482], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * N[(0.25 * N[(lambda1 * lambda1), $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$3 - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * N[Cos[lambda2], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 - 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]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := t\_0 \cdot \left(t\_1 \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.3482:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\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\_3 - \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_2, 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_2 - \phi_1\right)}}{\sqrt{t\_3 - \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)}}\\
\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)))))))) < 0.34820000000000001Initial program 67.7%
Taylor expanded in lambda2 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
Applied rewrites49.0%
Applied rewrites27.3%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6430.9
Applied rewrites30.9%
Taylor expanded in lambda1 around 0
+-commutativeN/A
lower-fma.f64N/A
cos-negN/A
lower-cos.f6430.9
Applied rewrites30.9%
if 0.34820000000000001 < (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) Initial program 59.5%
Taylor expanded in lambda2 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
Applied rewrites47.4%
Applied rewrites47.4%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6426.7
Applied rewrites26.7%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
sub-negN/A
mul-1-negN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
mul-1-negN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6429.3
Applied rewrites29.3%
Final simplification29.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (+ (* t_0 (* t_1 t_0)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3 (fma 0.5 (cos (- phi1 phi2)) 0.5)))
(if (<= (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 0.3482)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_1
(* 0.25 (* lambda1 lambda1))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt
(- t_3 (* (cos phi2) (* (cos phi1) (fma -0.5 (cos lambda1) 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* -0.5 (cos (- phi2 phi1)))))
(sqrt
(-
t_3
(*
(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 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = (t_0 * (t_1 * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma(0.5, cos((phi1 - phi2)), 0.5);
double tmp;
if (atan2(sqrt(t_2), sqrt((1.0 - t_2))) <= 0.3482) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_1, (0.25 * (lambda1 * lambda1)), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((t_3 - (cos(phi2) * (cos(phi1) * fma(-0.5, cos(lambda1), 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (-0.5 * cos((phi2 - phi1))))), sqrt((t_3 - (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(t_0 * Float64(t_1 * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = fma(0.5, cos(Float64(phi1 - phi2)), 0.5) tmp = 0.0 if (atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) <= 0.3482) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_1, Float64(0.25 * Float64(lambda1 * lambda1)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * Float64(phi2 - phi1)))))))), sqrt(Float64(t_3 - Float64(cos(phi2) * Float64(cos(phi1) * fma(-0.5, cos(lambda1), 0.5))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi2 - phi1))))), sqrt(Float64(t_3 - Float64(cos(phi2) * Float64(cos(phi1) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.3482], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * N[(0.25 * N[(lambda1 * lambda1), $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$3 - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 - 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]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := t\_0 \cdot \left(t\_1 \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right)\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.3482:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\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\_3 - \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_2 - \phi_1\right)}}{\sqrt{t\_3 - \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)}}\\
\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)))))))) < 0.34820000000000001Initial program 67.7%
Taylor expanded in lambda2 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
Applied rewrites49.0%
Applied rewrites27.3%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6430.9
Applied rewrites30.9%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6430.9
Applied rewrites30.9%
if 0.34820000000000001 < (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) Initial program 59.5%
Taylor expanded in lambda2 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
Applied rewrites47.4%
Applied rewrites47.4%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6426.7
Applied rewrites26.7%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
sub-negN/A
mul-1-negN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
mul-1-negN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6429.3
Applied rewrites29.3%
Final simplification29.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(cos phi2)
(* (cos phi1) (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))))
(if (<= (atan2 (sqrt t_3) (sqrt (- 1.0 t_3))) 0.02)
(* (* R 2.0) (atan2 (* (* -0.5 lambda1) (sqrt t_0)) t_1))
(* (* R 2.0) (atan2 (sqrt (+ 0.5 (* -0.5 (cos (- phi2 phi1))))) t_1)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = (t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double tmp;
if (atan2(sqrt(t_3), sqrt((1.0 - t_3))) <= 0.02) {
tmp = (R * 2.0) * atan2(((-0.5 * lambda1) * sqrt(t_0)), t_1);
} else {
tmp = (R * 2.0) * atan2(sqrt((0.5 + (-0.5 * cos((phi2 - phi1))))), t_1);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi2) * Float64(cos(phi1) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) tmp = 0.0 if (atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))) <= 0.02) tmp = Float64(Float64(R * 2.0) * atan(Float64(Float64(-0.5 * lambda1) * sqrt(t_0)), t_1)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi2 - phi1))))), t_1)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - 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]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.02], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[(N[(-0.5 * lambda1), $MachinePrecision] * N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \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)}\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}} \leq 0.02:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\left(-0.5 \cdot \lambda_1\right) \cdot \sqrt{t\_0}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_2 - \phi_1\right)}}{t\_1}\\
\end{array}
\end{array}
if (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) < 0.0200000000000000004Initial program 91.0%
Taylor expanded in lambda2 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
Applied rewrites72.4%
Applied rewrites9.7%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6435.2
Applied rewrites35.2%
Taylor expanded in lambda1 around -inf
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sqrt.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f6430.2
Applied rewrites30.2%
if 0.0200000000000000004 < (atan2.f64 (sqrt.f64 (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))))))) Initial program 58.9%
Taylor expanded in lambda2 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
Applied rewrites45.7%
Applied rewrites45.6%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6427.0
Applied rewrites27.0%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
sub-negN/A
mul-1-negN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
mul-1-negN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6428.8
Applied rewrites28.8%
Final simplification28.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (cos (* 0.5 (- lambda1 lambda2))))
(t_3 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_3 (cos (* -0.5 phi2)) (* (sin (* -0.5 phi2)) t_0)) 2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(+
(-
(*
(cos phi2)
(*
(cos phi1)
(-
(* 0.5 (fma t_2 t_2 (- (fma -0.5 (cos (- lambda1 lambda2)) 0.5))))
0.5)))
(pow (- (* t_3 (cos (* 0.5 phi2))) (* t_0 (sin (* 0.5 phi2)))) 2.0))
1.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = cos((0.5 * (lambda1 - lambda2)));
double t_3 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow(fma(t_3, cos((-0.5 * phi2)), (sin((-0.5 * phi2)) * t_0)), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((((cos(phi2) * (cos(phi1) * ((0.5 * fma(t_2, t_2, -fma(-0.5, cos((lambda1 - lambda2)), 0.5))) - 0.5))) - pow(((t_3 * cos((0.5 * phi2))) - (t_0 * sin((0.5 * phi2)))), 2.0)) + 1.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = cos(Float64(0.5 * Float64(lambda1 - lambda2))) t_3 = sin(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_3, cos(Float64(-0.5 * phi2)), Float64(sin(Float64(-0.5 * phi2)) * t_0)) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(Float64(Float64(cos(phi2) * Float64(cos(phi1) * Float64(Float64(0.5 * fma(t_2, t_2, Float64(-fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)))) - 0.5))) - (Float64(Float64(t_3 * cos(Float64(0.5 * phi2))) - Float64(t_0 * sin(Float64(0.5 * phi2)))) ^ 2.0)) + 1.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$3 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[(0.5 * N[(t$95$2 * t$95$2 + (-N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision])), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[N[(N[(t$95$3 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$0 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \cos \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_3 := \sin \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_3, \cos \left(-0.5 \cdot \phi_2\right), \sin \left(-0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{\left(\cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(0.5 \cdot \mathsf{fma}\left(t\_2, t\_2, -\mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right) - 0.5\right)\right) - {\left(t\_3 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_0 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right) + 1}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-*.f6462.5
Applied rewrites62.5%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites76.6%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites76.7%
lift--.f64N/A
lift-*.f64N/A
cos-2N/A
sqr-sin-aN/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-neg.f6476.7
lift--.f64N/A
Applied rewrites76.7%
Final simplification76.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin (* -0.5 phi2)) (cos (* phi1 0.5))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_2 (cos (* -0.5 phi2)) t_0) 2.0)
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))))
(sqrt
(+
(-
(*
(cos phi2)
(*
(cos phi1)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))
(pow (fma t_2 (cos (* 0.5 phi2)) t_0) 2.0))
1.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((-0.5 * phi2)) * cos((phi1 * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow(fma(t_2, cos((-0.5 * phi2)), t_0), 2.0) + (t_1 * ((cos(phi1) * cos(phi2)) * t_1)))), sqrt((((cos(phi2) * (cos(phi1) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))) - pow(fma(t_2, cos((0.5 * phi2)), t_0), 2.0)) + 1.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(Float64(-0.5 * phi2)) * cos(Float64(phi1 * 0.5))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_2, cos(Float64(-0.5 * phi2)), t_0) ^ 2.0) + Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)))), sqrt(Float64(Float64(Float64(cos(phi2) * Float64(cos(phi1) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5))) - (fma(t_2, cos(Float64(0.5 * phi2)), t_0) ^ 2.0)) + 1.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$2 * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $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] - N[Power[N[(t$95$2 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-0.5 \cdot \phi_2\right) \cdot \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \sin \left(\phi_1 \cdot 0.5\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_2, \cos \left(-0.5 \cdot \phi_2\right), t\_0\right)\right)}^{2} + t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)}}{\sqrt{\left(\cos \phi_2 \cdot \left(\cos \phi_1 \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) - {\left(\mathsf{fma}\left(t\_2, \cos \left(0.5 \cdot \phi_2\right), t\_0\right)\right)}^{2}\right) + 1}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-*.f6462.5
Applied rewrites62.5%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites76.6%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites76.7%
Applied rewrites76.7%
Final simplification76.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* -0.5 phi2)))
(t_1 (sin (* phi1 0.5)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (sin (* -0.5 phi2)))
(t_4 (cos (* phi1 0.5)))
(t_5
(pow (- (* t_1 (cos (* 0.5 phi2))) (* t_4 (sin (* 0.5 phi2)))) 2.0))
(t_6
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
(pow (fma t_3 t_4 (* t_0 t_1)) 2.0)))
(sqrt
(+
(-
(*
(cos phi2)
(*
(cos phi1)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))
t_5)
1.0)))))))
(if (<= lambda2 -0.000125)
t_6
(if (<= lambda2 2.5e-5)
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (fma t_1 t_0 (* t_3 t_4)) 2.0)
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))))
(sqrt
(-
1.0
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
t_5))))))
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((-0.5 * phi2));
double t_1 = sin((phi1 * 0.5));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = sin((-0.5 * phi2));
double t_4 = cos((phi1 * 0.5));
double t_5 = pow(((t_1 * cos((0.5 * phi2))) - (t_4 * sin((0.5 * phi2)))), 2.0);
double t_6 = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), pow(fma(t_3, t_4, (t_0 * t_1)), 2.0))), sqrt((((cos(phi2) * (cos(phi1) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))) - t_5) + 1.0))));
double tmp;
if (lambda2 <= -0.000125) {
tmp = t_6;
} else if (lambda2 <= 2.5e-5) {
tmp = R * (2.0 * atan2(sqrt((pow(fma(t_1, t_0, (t_3 * t_4)), 2.0) + (t_2 * ((cos(phi1) * cos(phi2)) * t_2)))), sqrt((1.0 - fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_5)))));
} else {
tmp = t_6;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(-0.5 * phi2)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sin(Float64(-0.5 * phi2)) t_4 = cos(Float64(phi1 * 0.5)) t_5 = Float64(Float64(t_1 * cos(Float64(0.5 * phi2))) - Float64(t_4 * sin(Float64(0.5 * phi2)))) ^ 2.0 t_6 = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), (fma(t_3, t_4, Float64(t_0 * t_1)) ^ 2.0))), sqrt(Float64(Float64(Float64(cos(phi2) * Float64(cos(phi1) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5))) - t_5) + 1.0))))) tmp = 0.0 if (lambda2 <= -0.000125) tmp = t_6; elseif (lambda2 <= 2.5e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_1, t_0, Float64(t_3 * t_4)) ^ 2.0) + Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)))), sqrt(Float64(1.0 - fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_5)))))); else tmp = t_6; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(N[(t$95$1 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$4 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$6 = 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 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$3 * t$95$4 + N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $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] - t$95$5), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -0.000125], t$95$6, If[LessEqual[lambda2, 2.5e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$1 * t$95$0 + N[(t$95$3 * t$95$4), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$6]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(-0.5 \cdot \phi_2\right)\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_4 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_5 := {\left(t\_1 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_4 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_6 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, {\left(\mathsf{fma}\left(t\_3, t\_4, t\_0 \cdot t\_1\right)\right)}^{2}\right)}}{\sqrt{\left(\cos \phi_2 \cdot \left(\cos \phi_1 \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) - t\_5\right) + 1}}\right)\\
\mathbf{if}\;\lambda_2 \leq -0.000125:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\lambda_2 \leq 2.5 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_1, t\_0, t\_3 \cdot t\_4\right)\right)}^{2} + t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if lambda2 < -1.25e-4 or 2.50000000000000012e-5 < lambda2 Initial program 42.4%
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-*.f6443.4
Applied rewrites43.4%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites54.8%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites54.9%
Taylor expanded in lambda1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
Applied rewrites55.2%
if -1.25e-4 < lambda2 < 2.50000000000000012e-5Initial program 80.1%
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-*.f6481.2
Applied rewrites81.2%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites98.1%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites98.2%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
Applied rewrites98.1%
Final simplification76.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (cos (* phi1 0.5)))
(t_2
(sqrt
(+
(-
(*
(cos phi2)
(*
(cos phi1)
(- (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))) 0.5)))
(pow
(- (* t_0 (cos (* 0.5 phi2))) (* t_1 (sin (* 0.5 phi2))))
2.0))
1.0)))
(t_3
(pow (fma (sin (* -0.5 phi2)) t_1 (* (cos (* -0.5 phi2)) t_0)) 2.0))
(t_4
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
t_3))
t_2)))))
(if (<= lambda1 -1.35e-14)
t_4
(if (<= lambda1 9.2e-8)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* -0.5 lambda2)) 2.0))
t_3))
t_2)))
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 = sqrt((((cos(phi2) * (cos(phi1) * ((0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))) - 0.5))) - pow(((t_0 * cos((0.5 * phi2))) - (t_1 * sin((0.5 * phi2)))), 2.0)) + 1.0));
double t_3 = pow(fma(sin((-0.5 * phi2)), t_1, (cos((-0.5 * phi2)) * t_0)), 2.0);
double t_4 = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), t_3)), t_2));
double tmp;
if (lambda1 <= -1.35e-14) {
tmp = t_4;
} else if (lambda1 <= 9.2e-8) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((-0.5 * lambda2)), 2.0)), t_3)), t_2));
} else {
tmp = 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 = sqrt(Float64(Float64(Float64(cos(phi2) * Float64(cos(phi1) * Float64(Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) - 0.5))) - (Float64(Float64(t_0 * cos(Float64(0.5 * phi2))) - Float64(t_1 * sin(Float64(0.5 * phi2)))) ^ 2.0)) + 1.0)) t_3 = fma(sin(Float64(-0.5 * phi2)), t_1, Float64(cos(Float64(-0.5 * phi2)) * t_0)) ^ 2.0 t_4 = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), t_3)), t_2))) tmp = 0.0 if (lambda1 <= -1.35e-14) tmp = t_4; elseif (lambda1 <= 9.2e-8) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(-0.5 * lambda2)) ^ 2.0)), t_3)), t_2))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $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] - N[Power[N[(N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$1 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$1 + N[(N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = 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 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.35e-14], t$95$4, If[LessEqual[lambda1, 9.2e-8], 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 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\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 := \sqrt{\left(\cos \phi_2 \cdot \left(\cos \phi_1 \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) - {\left(t\_0 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_1 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right) + 1}\\
t_3 := {\left(\mathsf{fma}\left(\sin \left(-0.5 \cdot \phi_2\right), t\_1, \cos \left(-0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2}\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_3\right)}}{t\_2}\right)\\
\mathbf{if}\;\lambda_1 \leq -1.35 \cdot 10^{-14}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 \leq 9.2 \cdot 10^{-8}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_3\right)}}{t\_2}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if lambda1 < -1.3499999999999999e-14 or 9.2000000000000003e-8 < lambda1 Initial program 47.3%
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-*.f6448.5
Applied rewrites48.5%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites57.4%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites57.5%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
Applied rewrites57.1%
if -1.3499999999999999e-14 < lambda1 < 9.2000000000000003e-8Initial program 77.4%
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-*.f6478.3
Applied rewrites78.3%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites98.5%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites98.5%
Taylor expanded in lambda1 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
Applied rewrites96.1%
Final simplification75.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (cos (* -0.5 phi2)))
(t_3 (cos (* phi1 0.5)))
(t_4
(pow (- (* t_0 (cos (* 0.5 phi2))) (* t_3 (sin (* 0.5 phi2)))) 2.0))
(t_5 (sin (/ (- lambda1 lambda2) 2.0)))
(t_6 (* t_5 (* t_1 t_5)))
(t_7 (sin (* -0.5 phi2)))
(t_8 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(if (<= lambda2 -8.8e-36)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (fma t_0 t_2 (* t_7 t_3)) 2.0) t_6))
(sqrt
(-
1.0
(fma
(- 0.5 t_8)
t_1
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))))))
(if (<= lambda2 9e-23)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (pow (sin (* 0.5 lambda1)) 2.0))
(pow (fma t_7 t_3 (* t_2 t_0)) 2.0)))
(sqrt (+ (- (* (cos phi2) (* (cos phi1) (- t_8 0.5))) t_4) 1.0)))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_6 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt (- 1.0 (+ t_6 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) * cos(phi2);
double t_2 = cos((-0.5 * phi2));
double t_3 = cos((phi1 * 0.5));
double t_4 = pow(((t_0 * cos((0.5 * phi2))) - (t_3 * sin((0.5 * phi2)))), 2.0);
double t_5 = sin(((lambda1 - lambda2) / 2.0));
double t_6 = t_5 * (t_1 * t_5);
double t_7 = sin((-0.5 * phi2));
double t_8 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double tmp;
if (lambda2 <= -8.8e-36) {
tmp = R * (2.0 * atan2(sqrt((pow(fma(t_0, t_2, (t_7 * t_3)), 2.0) + t_6)), sqrt((1.0 - fma((0.5 - t_8), t_1, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))))));
} else if (lambda2 <= 9e-23) {
tmp = R * (2.0 * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin((0.5 * lambda1)), 2.0)), pow(fma(t_7, t_3, (t_2 * t_0)), 2.0))), sqrt((((cos(phi2) * (cos(phi1) * (t_8 - 0.5))) - t_4) + 1.0))));
} else {
tmp = R * (2.0 * atan2(sqrt((t_6 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (t_6 + t_4)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = cos(Float64(-0.5 * phi2)) t_3 = cos(Float64(phi1 * 0.5)) t_4 = Float64(Float64(t_0 * cos(Float64(0.5 * phi2))) - Float64(t_3 * sin(Float64(0.5 * phi2)))) ^ 2.0 t_5 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_6 = Float64(t_5 * Float64(t_1 * t_5)) t_7 = sin(Float64(-0.5 * phi2)) t_8 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) tmp = 0.0 if (lambda2 <= -8.8e-36) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_0, t_2, Float64(t_7 * t_3)) ^ 2.0) + t_6)), sqrt(Float64(1.0 - fma(Float64(0.5 - t_8), t_1, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))))))); elseif (lambda2 <= 9e-23) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(Float64(0.5 * lambda1)) ^ 2.0)), (fma(t_7, t_3, Float64(t_2 * t_0)) ^ 2.0))), sqrt(Float64(Float64(Float64(cos(phi2) * Float64(cos(phi1) * Float64(t_8 - 0.5))) - t_4) + 1.0))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_6 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_6 + 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[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(N[(t$95$0 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(t$95$3 * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 * N[(t$95$1 * t$95$5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$8 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -8.8e-36], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(t$95$0 * t$95$2 + N[(t$95$7 * t$95$3), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$6), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - t$95$8), $MachinePrecision] * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda2, 9e-23], 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 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(t$95$7 * t$95$3 + N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$8 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$4), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$6 + 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$6 + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \cos \left(-0.5 \cdot \phi_2\right)\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_4 := {\left(t\_0 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_3 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\\
t_5 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_6 := t\_5 \cdot \left(t\_1 \cdot t\_5\right)\\
t_7 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_8 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
\mathbf{if}\;\lambda_2 \leq -8.8 \cdot 10^{-36}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\mathsf{fma}\left(t\_0, t\_2, t\_7 \cdot t\_3\right)\right)}^{2} + t\_6}}{\sqrt{1 - \mathsf{fma}\left(0.5 - t\_8, t\_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}\right)\\
\mathbf{elif}\;\lambda_2 \leq 9 \cdot 10^{-23}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}, {\left(\mathsf{fma}\left(t\_7, t\_3, t\_2 \cdot t\_0\right)\right)}^{2}\right)}}{\sqrt{\left(\cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(t\_8 - 0.5\right)\right) - t\_4\right) + 1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \left(t\_6 + t\_4\right)}}\right)\\
\end{array}
\end{array}
if lambda2 < -8.7999999999999997e-36Initial program 48.6%
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-*.f6449.2
Applied rewrites49.2%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites61.3%
Applied rewrites49.6%
if -8.7999999999999997e-36 < lambda2 < 8.9999999999999995e-23Initial program 79.1%
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-*.f6480.2
Applied rewrites80.2%
div-subN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
lift-cos.f64N/A
lower-*.f64N/A
Applied rewrites98.3%
lift-cos.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f64N/A
lift-sin.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied rewrites98.4%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
Applied rewrites96.8%
if 8.9999999999999995e-23 < lambda2 Initial program 45.8%
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-*.f6447.0
Applied rewrites47.0%
Final simplification70.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (- phi1 phi2))))
(if (<=
(+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.0005)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 lambda1)) 2.0)
t_0
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(-
0.5
(* (cos phi2) (+ -0.5 (fma -0.5 (cos (- lambda1 lambda2)) 0.5))))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_1)) (pow (sin t_3) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_3))))
(* (cos phi1) (* (cos phi2) (- t_1 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * (phi1 - phi2);
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.0005) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * lambda1)), 2.0), t_0, pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((0.5 - (cos(phi2) * (-0.5 + fma(-0.5, cos((lambda1 - lambda2)), 0.5)))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_1)), pow(sin(t_3), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_3)))) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * Float64(phi1 - phi2)) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.0005) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * lambda1)) ^ 2.0), t_0, (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(0.5 - Float64(cos(phi2) * Float64(-0.5 + fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_1)), (sin(t_3) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_3)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.0005], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $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$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$3), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 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 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.0005:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_0, {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{0.5 - \cos \phi_2 \cdot \left(-0.5 + \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\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\_1\right), {\sin t\_3}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_3\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 5.0000000000000001e-4Initial program 83.5%
Taylor expanded in lambda2 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
Applied rewrites68.1%
Applied rewrites68.1%
Taylor expanded in phi1 around 0
lower--.f64N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
distribute-lft-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6468.3
Applied rewrites68.3%
if 5.0000000000000001e-4 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 59.2%
Applied rewrites59.3%
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.f6459.3
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6459.3
Applied rewrites59.3%
Final simplification60.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* t_0 (* (* (cos phi1) (cos phi2)) t_0))))
(*
R
(*
2.0
(atan2
(sqrt (+ t_1 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(-
1.0
(+
t_1
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0);
return R * (2.0 * atan2(sqrt((t_1 + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((1.0 - (t_1 + pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0)
code = r * (2.0d0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0))), sqrt((1.0d0 - (t_1 + (((sin((phi1 * 0.5d0)) * cos((0.5d0 * phi2))) - (cos((phi1 * 0.5d0)) * sin((0.5d0 * phi2)))) ** 2.0d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt((t_1 + Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0))), Math.sqrt((1.0 - (t_1 + Math.pow(((Math.sin((phi1 * 0.5)) * Math.cos((0.5 * phi2))) - (Math.cos((phi1 * 0.5)) * Math.sin((0.5 * phi2)))), 2.0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0) return R * (2.0 * math.atan2(math.sqrt((t_1 + math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0))), math.sqrt((1.0 - (t_1 + math.pow(((math.sin((phi1 * 0.5)) * math.cos((0.5 * phi2))) - (math.cos((phi1 * 0.5)) * math.sin((0.5 * phi2)))), 2.0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(t_1 + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_1 + (Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0); tmp = R * (2.0 * atan2(sqrt((t_1 + (sin(((phi1 - phi2) / 2.0)) ^ 2.0))), sqrt((1.0 - (t_1 + (((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))) ^ 2.0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{1 - \left(t\_1 + {\left(\sin \left(\phi_1 \cdot 0.5\right) \cdot \cos \left(0.5 \cdot \phi_2\right) - \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-*.f6462.5
Applied rewrites62.5%
Final simplification62.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(if (<=
(+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.0006)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 lambda1)) 2.0)
t_0
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(-
0.5
(* (cos phi2) (+ -0.5 (fma -0.5 (cos (- lambda1 lambda2)) 0.5))))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_1)) (- 0.5 t_3)))
(sqrt (+ (+ 0.5 t_3) (* (cos phi1) (* (cos phi2) (- t_1 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.0006) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * lambda1)), 2.0), t_0, pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((0.5 - (cos(phi2) * (-0.5 + fma(-0.5, cos((lambda1 - lambda2)), 0.5)))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_1)), (0.5 - t_3))), sqrt(((0.5 + t_3) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.0006) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * lambda1)) ^ 2.0), t_0, (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(0.5 - Float64(cos(phi2) * Float64(-0.5 + fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_1)), Float64(0.5 - t_3))), sqrt(Float64(Float64(0.5 + t_3) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.0006], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $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$1), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 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 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.0006:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_0, {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{0.5 - \cos \phi_2 \cdot \left(-0.5 + \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\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\_1\right), 0.5 - t\_3\right)}}{\sqrt{\left(0.5 + t\_3\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 5.99999999999999947e-4Initial program 80.7%
Taylor expanded in lambda2 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
Applied rewrites65.9%
Applied rewrites65.9%
Taylor expanded in phi1 around 0
lower--.f64N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
distribute-lft-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6466.1
Applied rewrites66.1%
if 5.99999999999999947e-4 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 59.4%
Applied rewrites59.4%
Final simplification60.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* -0.5 (- phi2 phi1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (- lambda1 lambda2))))
(if (<= (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 0.002)
(*
R
(*
2.0
(atan2
(sqrt (fma (pow (sin (* 0.5 lambda1)) 2.0) t_0 (pow (sin t_1) 2.0)))
(sqrt (- 0.5 (* (cos phi2) (+ -0.5 (fma -0.5 t_3 0.5))))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 lambda1)))))
(- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* (cos phi2) (* (cos phi1) (fma t_3 -0.5 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = -0.5 * (phi2 - phi1);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = cos((lambda1 - lambda2));
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.002) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * lambda1)), 2.0), t_0, pow(sin(t_1), 2.0))), sqrt((0.5 - (cos(phi2) * (-0.5 + fma(-0.5, t_3, 0.5)))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * lambda1))))), (0.5 - (0.5 * cos((2.0 * t_1)))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(t_3, -0.5, 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(-0.5 * Float64(phi2 - phi1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = cos(Float64(lambda1 - lambda2)) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.002) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * lambda1)) ^ 2.0), t_0, (sin(t_1) ^ 2.0))), sqrt(Float64(0.5 - Float64(cos(phi2) * Float64(-0.5 + fma(-0.5, t_3, 0.5)))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * lambda1))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi2) * Float64(cos(phi1) * fma(t_3, -0.5, 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.002], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 + N[(-0.5 * t$95$3 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$3 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := -0.5 \cdot \left(\phi_2 - \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.002:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_0, {\sin t\_1}^{2}\right)}}{\sqrt{0.5 - \cos \phi_2 \cdot \left(-0.5 + \mathsf{fma}\left(-0.5, t\_3, 0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \lambda_1\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(t\_3, -0.5, 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 2e-3Initial program 78.9%
Taylor expanded in lambda2 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
Applied rewrites64.2%
Applied rewrites64.2%
Taylor expanded in phi1 around 0
lower--.f64N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
distribute-lft-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6464.4
Applied rewrites64.4%
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 59.4%
Taylor expanded in lambda2 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
Applied rewrites45.9%
Applied rewrites45.8%
Final simplification47.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* -0.5 (- phi2 phi1)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 0.002)
(*
R
(*
2.0
(atan2
(sqrt (fma (pow (sin (* 0.5 lambda1)) 2.0) t_0 (pow (sin t_1) 2.0)))
(sqrt
(-
0.5
(* (cos phi2) (+ -0.5 (fma -0.5 (cos (- lambda1 lambda2)) 0.5))))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 lambda1)))))
(- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* (cos phi2) (* (cos phi1) (fma (cos lambda1) -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 = -0.5 * (phi2 - phi1);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.002) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * lambda1)), 2.0), t_0, pow(sin(t_1), 2.0))), sqrt((0.5 - (cos(phi2) * (-0.5 + fma(-0.5, cos((lambda1 - lambda2)), 0.5)))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * lambda1))))), (0.5 - (0.5 * cos((2.0 * t_1)))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(cos(lambda1), -0.5, 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(-0.5 * Float64(phi2 - phi1)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.002) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * lambda1)) ^ 2.0), t_0, (sin(t_1) ^ 2.0))), sqrt(Float64(0.5 - Float64(cos(phi2) * Float64(-0.5 + fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * lambda1))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi2) * Float64(cos(phi1) * fma(cos(lambda1), -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[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.002], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[lambda1], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := -0.5 \cdot \left(\phi_2 - \phi_1\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.002:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_0, {\sin t\_1}^{2}\right)}}{\sqrt{0.5 - \cos \phi_2 \cdot \left(-0.5 + \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \lambda_1\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(\cos \lambda_1, -0.5, 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 2e-3Initial program 78.9%
Taylor expanded in lambda2 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
Applied rewrites64.2%
Applied rewrites64.2%
Taylor expanded in phi1 around 0
lower--.f64N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
distribute-lft-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6464.4
Applied rewrites64.4%
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 59.4%
Taylor expanded in lambda2 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
Applied rewrites45.9%
Applied rewrites45.8%
Taylor expanded in lambda2 around 0
lower-cos.f6445.8
Applied rewrites45.8%
Final simplification47.7%
(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
(/
(-
(+ (cos (- phi1 phi2)) 1.0)
(*
(+ (cos (+ phi1 phi2)) (cos (- phi2 phi1)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((((cos((phi1 - phi2)) + 1.0) - ((cos((phi1 + phi2)) + cos((phi2 - phi1))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + 1.0) - Float64(Float64(cos(Float64(phi1 + phi2)) + cos(Float64(phi2 - phi1))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(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[(N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[(N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{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{\frac{\left(\cos \left(\phi_1 - \phi_2\right) + 1\right) - \left(\cos \left(\phi_1 + \phi_2\right) + \cos \left(\phi_2 - \phi_1\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 61.4%
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-*.f6462.5
Applied rewrites62.5%
Applied rewrites62.1%
Final simplification62.1%
(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
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(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 = 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((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 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(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - 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[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[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - 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]]
\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{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \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)
\end{array}
\end{array}
Initial program 61.4%
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-*.f6462.5
Applied rewrites62.5%
Applied rewrites61.5%
Final simplification61.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (* 0.5 (cos (* 2.0 t_0))))
(t_2 (* 0.5 (- phi1 phi2)))
(t_3 (* 0.5 (cos (* 2.0 t_2))))
(t_4 (sqrt (+ (+ 0.5 t_3) (* (cos phi1) (* (cos phi2) (- t_1 0.5)))))))
(if (<= lambda1 -1.2e-189)
(*
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0)) (- 0.5 t_3)))
t_4)
(* R 2.0))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_1)) (pow (sin t_2) 2.0)))
t_4)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (lambda1 - lambda2);
double t_1 = 0.5 * cos((2.0 * t_0));
double t_2 = 0.5 * (phi1 - phi2);
double t_3 = 0.5 * cos((2.0 * t_2));
double t_4 = sqrt(((0.5 + t_3) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5)))));
double tmp;
if (lambda1 <= -1.2e-189) {
tmp = atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_0), 2.0)), (0.5 - t_3))), t_4) * (R * 2.0);
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_1)), pow(sin(t_2), 2.0))), t_4);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * cos(Float64(2.0 * t_0))) t_2 = Float64(0.5 * Float64(phi1 - phi2)) t_3 = Float64(0.5 * cos(Float64(2.0 * t_2))) t_4 = sqrt(Float64(Float64(0.5 + t_3) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 0.5))))) tmp = 0.0 if (lambda1 <= -1.2e-189) tmp = Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_0) ^ 2.0)), Float64(0.5 - t_3))), t_4) * Float64(R * 2.0)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_1)), (sin(t_2) ^ 2.0))), t_4)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -1.2e-189], N[(N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision] * N[(R * 2.0), $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$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_2 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
t_4 := \sqrt{\left(0.5 + t\_3\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}\\
\mathbf{if}\;\lambda_1 \leq -1.2 \cdot 10^{-189}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_0}^{2}, 0.5 - t\_3\right)}}{t\_4} \cdot \left(R \cdot 2\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\_1\right), {\sin t\_2}^{2}\right)}}{t\_4}\\
\end{array}
\end{array}
if lambda1 < -1.1999999999999999e-189Initial program 59.9%
Applied rewrites52.4%
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
pow2N/A
lower-pow.f6459.2
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6459.2
Applied rewrites59.2%
if -1.1999999999999999e-189 < lambda1 Initial program 62.4%
Applied rewrites56.8%
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.f6461.2
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6461.2
Applied rewrites61.2%
Final simplification60.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* (cos phi1) (* (cos phi2) (- t_0 0.5))))
(t_2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (- 0.5 t_0))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))
(t_3
(* (* R 2.0) (atan2 t_2 (sqrt (+ (+ 0.5 (* 0.5 (cos phi2))) t_1))))))
(if (<= phi2 -4.8e-7)
t_3
(if (<= phi2 960.0)
(* (* R 2.0) (atan2 t_2 (sqrt (+ (+ 0.5 (* 0.5 (cos phi1))) t_1))))
t_3))))
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 = cos(phi1) * (cos(phi2) * (t_0 - 0.5));
double t_2 = sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double t_3 = (R * 2.0) * atan2(t_2, sqrt(((0.5 + (0.5 * cos(phi2))) + t_1)));
double tmp;
if (phi2 <= -4.8e-7) {
tmp = t_3;
} else if (phi2 <= 960.0) {
tmp = (R * 2.0) * atan2(t_2, sqrt(((0.5 + (0.5 * cos(phi1))) + t_1)));
} else {
tmp = t_3;
}
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(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5))) t_2 = sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_0)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) t_3 = Float64(Float64(R * 2.0) * atan(t_2, sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi2))) + t_1)))) tmp = 0.0 if (phi2 <= -4.8e-7) tmp = t_3; elseif (phi2 <= 960.0) tmp = Float64(Float64(R * 2.0) * atan(t_2, sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi1))) + t_1)))); else tmp = t_3; 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[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -4.8e-7], t$95$3, If[LessEqual[phi2, 960.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\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 := \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)\\
t_2 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_0\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_2\right) + t\_1}}\\
\mathbf{if}\;\phi_2 \leq -4.8 \cdot 10^{-7}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 960:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_1\right) + t\_1}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -4.79999999999999957e-7 or 960 < phi2 Initial program 45.4%
Applied rewrites45.3%
Taylor expanded in phi1 around 0
cos-negN/A
lower-cos.f6445.5
Applied rewrites45.5%
if -4.79999999999999957e-7 < phi2 < 960Initial program 75.8%
Applied rewrites63.8%
Taylor expanded in phi2 around 0
lower-cos.f6463.8
Applied rewrites63.8%
Final simplification55.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* (cos phi2) (- 0.5 t_0)))
(t_2 (* (cos phi1) (* (cos phi2) (- t_0 0.5))))
(t_3 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_4
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (- 0.5 t_3)))
(sqrt (+ (+ 0.5 (* 0.5 (cos phi1))) t_2))))))
(if (<= phi1 -1.65e-6)
t_4
(if (<= phi1 5.8e-6)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (- 0.5 (* 0.5 (cos phi2)))))
(sqrt (+ (+ 0.5 t_3) t_2))))
t_4))))
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 = cos(phi2) * (0.5 - t_0);
double t_2 = cos(phi1) * (cos(phi2) * (t_0 - 0.5));
double t_3 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_4 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - t_3))), sqrt(((0.5 + (0.5 * cos(phi1))) + t_2)));
double tmp;
if (phi1 <= -1.65e-6) {
tmp = t_4;
} else if (phi1 <= 5.8e-6) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - (0.5 * cos(phi2))))), sqrt(((0.5 + t_3) + t_2)));
} else {
tmp = t_4;
}
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(cos(phi2) * Float64(0.5 - t_0)) t_2 = Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5))) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_4 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - t_3))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(phi1))) + t_2)))) tmp = 0.0 if (phi1 <= -1.65e-6) tmp = t_4; elseif (phi1 <= 5.8e-6) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - Float64(0.5 * cos(phi2))))), sqrt(Float64(Float64(0.5 + t_3) + t_2)))); else tmp = t_4; 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[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.65e-6], t$95$4, If[LessEqual[phi1, 5.8e-6], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$3), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\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 := \cos \phi_2 \cdot \left(0.5 - t\_0\right)\\
t_2 := \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_4 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - t\_3\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \phi_1\right) + t\_2}}\\
\mathbf{if}\;\phi_1 \leq -1.65 \cdot 10^{-6}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_1 \leq 5.8 \cdot 10^{-6}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - 0.5 \cdot \cos \phi_2\right)}}{\sqrt{\left(0.5 + t\_3\right) + t\_2}}\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi1 < -1.65000000000000008e-6 or 5.8000000000000004e-6 < phi1 Initial program 48.3%
Applied rewrites48.4%
Taylor expanded in phi2 around 0
lower-cos.f6448.4
Applied rewrites48.4%
if -1.65000000000000008e-6 < phi1 < 5.8000000000000004e-6Initial program 74.5%
Applied rewrites61.7%
Taylor expanded in phi1 around 0
cos-negN/A
lower-cos.f6461.7
Applied rewrites61.7%
Final simplification55.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_2 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_3 (- 0.5 t_2)))
(if (<= lambda2 -0.00012)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 lambda2)))))
(fma -0.5 (cos (- phi2 phi1)) 0.5)))
(sqrt (- 1.0 (fma (cos phi2) (* (cos phi1) (- 0.5 t_1)) t_3)))))
(if (<= lambda2 0.000155)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 lambda1)))))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(cos phi2)
(* (cos phi1) (fma (cos (- lambda1 lambda2)) -0.5 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (- 0.5 (* 0.5 (cos lambda2)))) t_3))
(sqrt (+ (+ 0.5 t_2) (* (cos phi1) (* (cos phi2) (- t_1 0.5)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_2 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_3 = 0.5 - t_2;
double tmp;
if (lambda2 <= -0.00012) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (-0.5 * lambda2))))), fma(-0.5, cos((phi2 - phi1)), 0.5))), sqrt((1.0 - fma(cos(phi2), (cos(phi1) * (0.5 - t_1)), t_3))));
} else if (lambda2 <= 0.000155) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * lambda1))))), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos(lambda2)))), t_3)), sqrt(((0.5 + t_2) + (cos(phi1) * (cos(phi2) * (t_1 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_3 = Float64(0.5 - t_2) tmp = 0.0 if (lambda2 <= -0.00012) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * lambda2))))), fma(-0.5, cos(Float64(phi2 - phi1)), 0.5))), sqrt(Float64(1.0 - fma(cos(phi2), Float64(cos(phi1) * Float64(0.5 - t_1)), t_3))))); elseif (lambda2 <= 0.000155) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * lambda1))))), 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(cos(phi2) * Float64(cos(phi1) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(lambda2)))), t_3)), sqrt(Float64(Float64(0.5 + t_2) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - t$95$2), $MachinePrecision]}, If[LessEqual[lambda2, -0.00012], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda2, 0.000155], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * lambda1), $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[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], 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[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$2), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 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 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_3 := 0.5 - t\_2\\
\mathbf{if}\;\lambda_2 \leq -0.00012:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \lambda_2\right)\right), \mathsf{fma}\left(-0.5, \cos \left(\phi_2 - \phi_1\right), 0.5\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, \cos \phi_1 \cdot \left(0.5 - t\_1\right), t\_3\right)}}\\
\mathbf{elif}\;\lambda_2 \leq 0.000155:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \lambda_1\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) - \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)}}\\
\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 \lambda_2\right), t\_3\right)}}{\sqrt{\left(0.5 + t\_2\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if lambda2 < -1.20000000000000003e-4Initial program 44.8%
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-*.f6445.4
Applied rewrites45.4%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
Applied rewrites45.6%
Applied rewrites45.0%
if -1.20000000000000003e-4 < lambda2 < 1.55e-4Initial program 80.1%
Taylor expanded in lambda2 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
Applied rewrites76.9%
Applied rewrites67.2%
if 1.55e-4 < lambda2 Initial program 40.5%
Applied rewrites40.6%
Taylor expanded in lambda1 around 0
cos-negN/A
lower-cos.f6440.6
Applied rewrites40.6%
Final simplification54.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 lambda2)))))
(fma -0.5 (cos (- phi2 phi1)) 0.5)))
(sqrt
(-
1.0
(fma
(cos phi2)
(*
(cos phi1)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))))))
(if (<= lambda2 -0.00012)
t_1
(if (<= lambda2 0.000155)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 lambda1)))))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(cos phi2)
(* (cos phi1) (fma (cos (- lambda1 lambda2)) -0.5 0.5)))))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (-0.5 * lambda2))))), fma(-0.5, cos((phi2 - phi1)), 0.5))), sqrt((1.0 - fma(cos(phi2), (cos(phi1) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))))));
double tmp;
if (lambda2 <= -0.00012) {
tmp = t_1;
} else if (lambda2 <= 0.000155) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * lambda1))))), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(-0.5 * lambda2))))), fma(-0.5, cos(Float64(phi2 - phi1)), 0.5))), sqrt(Float64(1.0 - fma(cos(phi2), Float64(cos(phi1) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))))))))) tmp = 0.0 if (lambda2 <= -0.00012) tmp = t_1; elseif (lambda2 <= 0.000155) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * lambda1))))), 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(cos(phi2) * Float64(cos(phi1) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(-0.5 * lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -0.00012], t$95$1, If[LessEqual[lambda2, 0.000155], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * lambda1), $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[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], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(-0.5 \cdot \lambda_2\right)\right), \mathsf{fma}\left(-0.5, \cos \left(\phi_2 - \phi_1\right), 0.5\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, \cos \phi_1 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}\\
\mathbf{if}\;\lambda_2 \leq -0.00012:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_2 \leq 0.000155:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \lambda_1\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) - \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)}}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda2 < -1.20000000000000003e-4 or 1.55e-4 < lambda2 Initial program 42.4%
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-*.f6443.4
Applied rewrites43.4%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*l*N/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
Applied rewrites43.5%
Applied rewrites42.5%
if -1.20000000000000003e-4 < lambda2 < 1.55e-4Initial program 80.1%
Taylor expanded in lambda2 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
Applied rewrites76.9%
Applied rewrites67.2%
Final simplification54.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ -0.5 (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))
(t_1
(sqrt
(fma
(pow (sin (* 0.5 lambda1)) 2.0)
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0))))
(t_2 (* R (* 2.0 (atan2 t_1 (sqrt (- 0.5 (* (cos phi2) t_0))))))))
(if (<= phi2 -6.6e-30)
t_2
(if (<= phi2 8e+48)
(* R (* 2.0 (atan2 t_1 (sqrt (- 0.5 (* (cos phi1) t_0))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = -0.5 + fma(-0.5, cos((lambda1 - lambda2)), 0.5);
double t_1 = sqrt(fma(pow(sin((0.5 * lambda1)), 2.0), (cos(phi1) * cos(phi2)), pow(sin((-0.5 * (phi2 - phi1))), 2.0)));
double t_2 = R * (2.0 * atan2(t_1, sqrt((0.5 - (cos(phi2) * t_0)))));
double tmp;
if (phi2 <= -6.6e-30) {
tmp = t_2;
} else if (phi2 <= 8e+48) {
tmp = R * (2.0 * atan2(t_1, sqrt((0.5 - (cos(phi1) * t_0)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(-0.5 + fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)) t_1 = sqrt(fma((sin(Float64(0.5 * lambda1)) ^ 2.0), Float64(cos(phi1) * cos(phi2)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))) t_2 = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(0.5 - Float64(cos(phi2) * t_0)))))) tmp = 0.0 if (phi2 <= -6.6e-30) tmp = t_2; elseif (phi2 <= 8e+48) tmp = Float64(R * Float64(2.0 * atan(t_1, sqrt(Float64(0.5 - Float64(cos(phi1) * t_0)))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(-0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -6.6e-30], t$95$2, If[LessEqual[phi2, 8e+48], N[(R * N[(2.0 * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.5 + \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\\
t_1 := \sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, \cos \phi_1 \cdot \cos \phi_2, {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 - \cos \phi_2 \cdot t\_0}}\right)\\
\mathbf{if}\;\phi_2 \leq -6.6 \cdot 10^{-30}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 8 \cdot 10^{+48}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 - \cos \phi_1 \cdot t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -6.6000000000000006e-30 or 8.00000000000000035e48 < phi2 Initial program 46.7%
Taylor expanded in lambda2 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
Applied rewrites36.9%
Applied rewrites36.9%
Taylor expanded in phi1 around 0
lower--.f64N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
distribute-lft-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6438.2
Applied rewrites38.2%
if -6.6000000000000006e-30 < phi2 < 8.00000000000000035e48Initial program 75.3%
Taylor expanded in lambda2 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
Applied rewrites58.1%
Applied rewrites58.2%
Taylor expanded in phi2 around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6458.2
Applied rewrites58.2%
Final simplification48.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* -0.5 (cos (- phi2 phi1)))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* (cos phi2) (* (cos phi1) (fma t_0 -0.5 0.5)))))))))
(if (<= phi2 -2.7e+86)
t_1
(if (<= phi2 7.4e+50)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 lambda1)) 2.0)
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt (- 0.5 (* (cos phi1) (+ -0.5 (fma -0.5 t_0 0.5))))))))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = (R * 2.0) * atan2(sqrt((0.5 + (-0.5 * cos((phi2 - phi1))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(t_0, -0.5, 0.5))))));
double tmp;
if (phi2 <= -2.7e+86) {
tmp = t_1;
} else if (phi2 <= 7.4e+50) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * lambda1)), 2.0), (cos(phi1) * cos(phi2)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((0.5 - (cos(phi1) * (-0.5 + fma(-0.5, t_0, 0.5)))))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi2 - phi1))))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi2) * Float64(cos(phi1) * fma(t_0, -0.5, 0.5))))))) tmp = 0.0 if (phi2 <= -2.7e+86) tmp = t_1; elseif (phi2 <= 7.4e+50) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * lambda1)) ^ 2.0), Float64(cos(phi1) * cos(phi2)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(0.5 - Float64(cos(phi1) * Float64(-0.5 + fma(-0.5, t_0, 0.5)))))))); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(t$95$0 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -2.7e+86], t$95$1, If[LessEqual[phi2, 7.4e+50], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 - N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 + N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_2 - \phi_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(t\_0, -0.5, 0.5\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -2.7 \cdot 10^{+86}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_2 \leq 7.4 \cdot 10^{+50}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, \cos \phi_1 \cdot \cos \phi_2, {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{0.5 - \cos \phi_1 \cdot \left(-0.5 + \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi2 < -2.70000000000000018e86 or 7.4000000000000001e50 < phi2 Initial program 48.6%
Taylor expanded in lambda2 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
Applied rewrites39.0%
Applied rewrites39.0%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6429.2
Applied rewrites29.2%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
sub-negN/A
mul-1-negN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
mul-1-negN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6433.0
Applied rewrites33.0%
if -2.70000000000000018e86 < phi2 < 7.4000000000000001e50Initial program 69.7%
Taylor expanded in lambda2 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
Applied rewrites53.5%
Applied rewrites53.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
distribute-lft-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6453.6
Applied rewrites53.6%
Final simplification45.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt (+ 0.5 (* -0.5 (cos (- phi2 phi1)))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(*
(cos phi2)
(* (cos phi1) (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt((0.5 + (-0.5 * cos((phi2 - phi1))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (cos(phi2) * (cos(phi1) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(Float64(0.5 + Float64(-0.5 * cos(Float64(phi2 - phi1))))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(cos(phi2) * Float64(cos(phi1) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(-0.5 * N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - 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]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + -0.5 \cdot \cos \left(\phi_2 - \phi_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - \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)}}
\end{array}
Initial program 61.4%
Taylor expanded in lambda2 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
Applied rewrites47.8%
Applied rewrites42.8%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6427.7
Applied rewrites27.7%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
sub-negN/A
lower-+.f64N/A
sub-negN/A
mul-1-negN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
mul-1-negN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
sub-negN/A
lower--.f6427.2
Applied rewrites27.2%
Final simplification27.2%
herbie shell --seed 2024219
(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))))))))))