
(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 17 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos (* phi1 0.5)) (sin (* -0.5 phi2))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* t_1 (* (* (cos phi1) (cos phi2)) t_1)))
(t_3 (sin (* phi1 0.5))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (fma t_3 (cos (* -0.5 phi2)) t_0) 2.0) t_2))
(sqrt (- 1.0 (+ t_2 (pow (fma t_3 (cos (* 0.5 phi2)) t_0) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5)) * sin((-0.5 * phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * ((cos(phi1) * cos(phi2)) * t_1);
double t_3 = sin((phi1 * 0.5));
return R * (2.0 * atan2(sqrt((pow(fma(t_3, cos((-0.5 * phi2)), t_0), 2.0) + t_2)), sqrt((1.0 - (t_2 + pow(fma(t_3, cos((0.5 * phi2)), t_0), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(-0.5 * phi2))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) t_3 = sin(Float64(phi1 * 0.5)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((fma(t_3, cos(Float64(-0.5 * phi2)), t_0) ^ 2.0) + t_2)), sqrt(Float64(1.0 - Float64(t_2 + (fma(t_3, cos(Float64(0.5 * phi2)), t_0) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $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] + t$95$0), $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[Power[N[(t$95$3 * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] + t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(-0.5 \cdot \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\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), t\_0\right)\right)}^{2} + t\_2}}{\sqrt{1 - \left(t\_2 + {\left(\mathsf{fma}\left(t\_3, \cos \left(0.5 \cdot \phi_2\right), t\_0\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 59.8%
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-*.f6461.3
Applied rewrites61.3%
div-subN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-cos.f64N/A
Applied rewrites75.5%
Applied rewrites75.5%
Final simplification75.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(t_3
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))
(if (<= (atan2 (sqrt t_2) (sqrt (- 1.0 t_2))) 0.095)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
t_3))
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 lambda1)))))
(- 0.5 (* 0.5 (cos (- phi2 phi1))))))
t_3)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = (t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5))));
double tmp;
if (atan2(sqrt(t_2), sqrt((1.0 - t_2))) <= 0.095) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), t_3);
} 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((phi2 - phi1)))))), t_3);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) t_3 = sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))) tmp = 0.0 if (atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))) <= 0.095) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), t_3)); 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(phi2 - phi1)))))), t_3)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.095], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $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[(phi2 - phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}\\
\mathbf{if}\;\tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.095:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{t\_3}\\
\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(\phi_2 - \phi_1\right)\right)}}{t\_3}\\
\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)))))))) < 0.095000000000000001Initial program 95.1%
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 rewrites71.0%
Applied rewrites27.4%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6443.7
Applied rewrites43.7%
Applied rewrites69.1%
if 0.095000000000000001 < (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 55.9%
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 rewrites39.1%
Applied rewrites39.3%
lift--.f64N/A
associate-*r*N/A
metadata-evalN/A
mul-1-negN/A
cos-negN/A
lower-cos.f6439.3
Applied rewrites39.3%
Final simplification42.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi1 0.5)))
(t_1 (sin (* -0.5 phi2)))
(t_2 (* (cos phi2) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(t_3 (cos (* phi1 0.5))))
(*
(* R 2.0)
(atan2
(sqrt
(fma t_2 (cos phi1) (pow (fma t_1 t_3 (* (cos (* -0.5 phi2)) t_0)) 2.0)))
(sqrt
(-
1.0
(fma
t_2
(cos phi1)
(pow (fma t_1 t_3 (* (cos (* 0.5 phi2)) t_0)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi1 * 0.5));
double t_1 = sin((-0.5 * phi2));
double t_2 = cos(phi2) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_3 = cos((phi1 * 0.5));
return (R * 2.0) * atan2(sqrt(fma(t_2, cos(phi1), pow(fma(t_1, t_3, (cos((-0.5 * phi2)) * t_0)), 2.0))), sqrt((1.0 - fma(t_2, cos(phi1), pow(fma(t_1, t_3, (cos((0.5 * phi2)) * t_0)), 2.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi1 * 0.5)) t_1 = sin(Float64(-0.5 * phi2)) t_2 = Float64(cos(phi2) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) t_3 = cos(Float64(phi1 * 0.5)) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_2, cos(phi1), (fma(t_1, t_3, Float64(cos(Float64(-0.5 * phi2)) * t_0)) ^ 2.0))), sqrt(Float64(1.0 - fma(t_2, cos(phi1), (fma(t_1, t_3, Float64(cos(Float64(0.5 * phi2)) * t_0)) ^ 2.0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$1 * t$95$3 + N[(N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 * N[Cos[phi1], $MachinePrecision] + N[Power[N[(t$95$1 * t$95$3 + N[(N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(-0.5 \cdot \phi_2\right)\\
t_2 := \cos \phi_2 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_3 := \cos \left(\phi_1 \cdot 0.5\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_2, \cos \phi_1, {\left(\mathsf{fma}\left(t\_1, t\_3, \cos \left(-0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2}\right)}}{\sqrt{1 - \mathsf{fma}\left(t\_2, \cos \phi_1, {\left(\mathsf{fma}\left(t\_1, t\_3, \cos \left(0.5 \cdot \phi_2\right) \cdot t\_0\right)\right)}^{2}\right)}}
\end{array}
\end{array}
Initial program 59.8%
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-*.f6461.3
Applied rewrites61.3%
div-subN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-cos.f64N/A
Applied rewrites75.5%
Applied rewrites75.5%
Taylor expanded in R around 0
Applied rewrites75.5%
Final simplification75.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* 0.5 (- lambda1 lambda2)))
(t_2 (* (cos phi1) (cos phi2)))
(t_3 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(if (<= (+ (* t_0 (* t_2 t_0)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 2e-30)
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* 0.5 lambda1)) 2.0)
t_2
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(/
(-
(+ (cos (- phi1 phi2)) 1.0)
(*
(+ (cos (- phi2 phi1)) (cos (+ phi1 phi2)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_1) 2.0)) (- 0.5 t_3)))
(sqrt
(+
(+ 0.5 t_3)
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 t_1))) 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 = 0.5 * (lambda1 - lambda2);
double t_2 = cos(phi1) * cos(phi2);
double t_3 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double tmp;
if (((t_0 * (t_2 * t_0)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-30) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin((0.5 * lambda1)), 2.0), t_2, pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((((cos((phi1 - phi2)) + 1.0) - ((cos((phi2 - phi1)) + cos((phi1 + phi2))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_1), 2.0)), (0.5 - t_3))), sqrt(((0.5 + t_3) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_1))) - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(0.5 * Float64(lambda1 - lambda2)) t_2 = Float64(cos(phi1) * cos(phi2)) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) tmp = 0.0 if (Float64(Float64(t_0 * Float64(t_2 * t_0)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-30) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(0.5 * lambda1)) ^ 2.0), t_2, (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(Float64(Float64(cos(Float64(phi1 - phi2)) + 1.0) - Float64(Float64(cos(Float64(phi2 - phi1)) + cos(Float64(phi1 + phi2))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_1) ^ 2.0)), Float64(0.5 - t_3))), sqrt(Float64(Float64(0.5 + t_3) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * t_1))) - 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[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $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$0 * N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-30], 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$2 + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $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[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $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[(N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 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 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \phi_1 \cdot \cos \phi_2\\
t_3 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
\mathbf{if}\;t\_0 \cdot \left(t\_2 \cdot t\_0\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-30}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_2, {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{\frac{\left(\cos \left(\phi_1 - \phi_2\right) + 1\right) - \left(\cos \left(\phi_2 - \phi_1\right) + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_1}^{2}, 0.5 - t\_3\right)}}{\sqrt{\left(0.5 + t\_3\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_1\right) - 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-30Initial program 68.4%
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 rewrites65.3%
Applied rewrites65.4%
if 2e-30 < (+.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 59.1%
Applied rewrites58.0%
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.f6459.1
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6459.1
Applied rewrites59.1%
Final simplification59.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* 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)) 2e-30)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_1) 2.0)) (- 0.5 t_3)))
(sqrt
(+
(+ 0.5 t_3)
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 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 * (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)) <= 2e-30) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_1), 2.0)), (0.5 - t_3))), sqrt(((0.5 + t_3) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * 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 * 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)) <= 2e-30) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_1) ^ 2.0)), Float64(0.5 - t_3))), sqrt(Float64(Float64(0.5 + t_3) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * 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[(lambda1 - lambda2), $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], 2e-30], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $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[(N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := 0.5 \cdot \left(\lambda_1 - \lambda_2\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 2 \cdot 10^{-30}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_1}^{2}, 0.5 - t\_3\right)}}{\sqrt{\left(0.5 + t\_3\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_1\right) - 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-30Initial program 68.4%
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 rewrites65.3%
Applied rewrites18.1%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6434.5
Applied rewrites34.5%
Applied rewrites65.3%
if 2e-30 < (+.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 59.1%
Applied rewrites58.0%
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.f6459.1
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6459.1
Applied rewrites59.1%
Final simplification59.5%
(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 (- phi1 phi2))))
(if (<= (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 5e-18)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 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)) <= 5e-18) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 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)) <= 5e-18) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * 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 - 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], 5e-18], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $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 5 \cdot 10^{-18}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\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))))) < 5.00000000000000036e-18Initial program 71.4%
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 rewrites64.3%
Applied rewrites16.7%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6436.4
Applied rewrites36.4%
Applied rewrites64.3%
if 5.00000000000000036e-18 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 58.7%
Applied rewrites58.5%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-cos.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
Applied rewrites58.6%
Final simplification59.1%
(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
(-
(* (cos (* 0.5 phi2)) (sin (* phi1 0.5)))
(* (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(((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (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 + (((cos((0.5d0 * phi2)) * sin((phi1 * 0.5d0))) - (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.cos((0.5 * phi2)) * Math.sin((phi1 * 0.5))) - (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.cos((0.5 * phi2)) * math.sin((phi1 * 0.5))) - (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(cos(Float64(0.5 * phi2)) * sin(Float64(phi1 * 0.5))) - 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 + (((cos((0.5 * phi2)) * sin((phi1 * 0.5))) - (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[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $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(\cos \left(0.5 \cdot \phi_2\right) \cdot \sin \left(\phi_1 \cdot 0.5\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 59.8%
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-*.f6461.3
Applied rewrites61.3%
Final simplification61.3%
(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)) 4e-9)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 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)) <= 4e-9) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 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)) <= 4e-9) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * 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 - 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], 4e-9], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $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 4 \cdot 10^{-9}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\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))))) < 4.00000000000000025e-9Initial program 72.7%
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 rewrites18.9%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6437.7
Applied rewrites37.7%
Applied rewrites65.9%
if 4.00000000000000025e-9 < (+.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 58.5%
Applied rewrites58.4%
Final simplification59.1%
(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 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (cos (- phi2 phi1))))
(if (<= (+ (* t_2 (* t_0 t_2)) (pow (sin (/ (- phi1 phi2) 2.0)) 2.0)) 4e-9)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))
(*
(* R 2.0)
(atan2
(sqrt (fma t_0 (- 0.5 t_1) (fma -0.5 t_3 0.5)))
(sqrt
(+ (fma 0.5 t_3 0.5) (* (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 = cos((phi2 - phi1));
double tmp;
if (((t_2 * (t_0 * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 4e-9) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - t_1), fma(-0.5, t_3, 0.5))), sqrt((fma(0.5, t_3, 0.5) + (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 = cos(Float64(phi2 - phi1)) tmp = 0.0 if (Float64(Float64(t_2 * Float64(t_0 * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 4e-9) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.5 - t_1), fma(-0.5, t_3, 0.5))), sqrt(Float64(fma(0.5, t_3, 0.5) + 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[Cos[N[(phi2 - phi1), $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], 4e-9], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.5 - t$95$1), $MachinePrecision] + N[(-0.5 * t$95$3 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * t$95$3 + 0.5), $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 := \cos \left(\phi_2 - \phi_1\right)\\
\mathbf{if}\;t\_2 \cdot \left(t\_0 \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 4 \cdot 10^{-9}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.5 - t\_1, \mathsf{fma}\left(-0.5, t\_3, 0.5\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_3, 0.5\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))))) < 4.00000000000000025e-9Initial program 72.7%
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 rewrites18.9%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6437.7
Applied rewrites37.7%
Applied rewrites65.9%
if 4.00000000000000025e-9 < (+.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 58.5%
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6460.2
Applied rewrites60.2%
div-subN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
cancel-sign-sub-invN/A
sin-sumN/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-sin.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
metadata-evalN/A
lower-*.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f64N/A
lift-cos.f64N/A
Applied rewrites73.9%
Applied rewrites73.9%
Applied rewrites58.4%
Final simplification59.1%
(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
(/
(-
(+ (cos (- phi1 phi2)) 1.0)
(*
(+ (cos (- phi2 phi1)) (cos (+ phi1 phi2)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 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((phi2 - phi1)) + cos((phi1 + phi2))) * 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(phi2 - phi1)) + cos(Float64(phi1 + phi2))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[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[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \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_2 - \phi_1\right) + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 59.8%
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-*.f6461.3
Applied rewrites61.3%
Applied rewrites61.0%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 lambda1))))))
(t_2
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5)))))
(t_3
(*
(* R 2.0)
(atan2 (sqrt (fma t_0 t_1 (- 0.5 (* 0.5 (cos phi1))))) t_2))))
(if (<= phi1 -2.45e-5)
t_3
(if (<= phi1 1.35e-6)
(*
(* R 2.0)
(atan2 (sqrt (fma t_0 t_1 (- 0.5 (* 0.5 (cos phi2))))) t_2))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * lambda1))));
double t_2 = sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5))));
double t_3 = (R * 2.0) * atan2(sqrt(fma(t_0, t_1, (0.5 - (0.5 * cos(phi1))))), t_2);
double tmp;
if (phi1 <= -2.45e-5) {
tmp = t_3;
} else if (phi1 <= 1.35e-6) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, t_1, (0.5 - (0.5 * cos(phi2))))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * lambda1))))) t_2 = sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, t_1, Float64(0.5 - Float64(0.5 * cos(phi1))))), t_2)) tmp = 0.0 if (phi1 <= -2.45e-5) tmp = t_3; elseif (phi1 <= 1.35e-6) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, t_1, Float64(0.5 - Float64(0.5 * cos(phi2))))), t_2)); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.45e-5], t$95$3, If[LessEqual[phi1, 1.35e-6], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$1 + N[(0.5 - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \lambda_1\right)\right)\\
t_2 := \sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_1, 0.5 - 0.5 \cdot \cos \phi_1\right)}}{t\_2}\\
\mathbf{if}\;\phi_1 \leq -2.45 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_1, 0.5 - 0.5 \cdot \cos \phi_2\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -2.45e-5 or 1.34999999999999999e-6 < phi1 Initial program 45.5%
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 rewrites33.7%
Applied rewrites34.0%
Taylor expanded in phi2 around 0
lower-cos.f6434.7
Applied rewrites34.7%
if -2.45e-5 < phi1 < 1.34999999999999999e-6Initial program 74.7%
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 rewrites51.1%
Applied rewrites42.6%
Taylor expanded in phi1 around 0
neg-mul-1N/A
cos-negN/A
lower-cos.f6442.6
Applied rewrites42.6%
Final simplification38.5%
(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)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5)))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 lambda1)))))
(- 0.5 (* 0.5 (cos phi1)))))
t_1))))
(if (<= lambda1 -0.01)
t_2
(if (<= lambda1 0.0018)
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
t_1))
t_2))))
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) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * lambda1))))), (0.5 - (0.5 * cos(phi1))))), t_1);
double tmp;
if (lambda1 <= -0.01) {
tmp = t_2;
} else if (lambda1 <= 0.0018) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), t_1);
} else {
tmp = t_2;
}
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(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))) t_2 = 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(phi1))))), t_1)) tmp = 0.0 if (lambda1 <= -0.01) tmp = t_2; elseif (lambda1 <= 0.0018) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), t_1)); else tmp = t_2; 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[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = 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[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.01], t$95$2, If[LessEqual[lambda1, 0.0018], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\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) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}\\
t_2 := \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 \phi_1\right)}}{t\_1}\\
\mathbf{if}\;\lambda_1 \leq -0.01:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 0.0018:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -0.0100000000000000002 or 0.0018 < lambda1 Initial program 40.5%
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 rewrites40.3%
Applied rewrites40.1%
Taylor expanded in phi2 around 0
lower-cos.f6431.7
Applied rewrites31.7%
if -0.0100000000000000002 < lambda1 < 0.0018Initial program 80.0%
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 rewrites44.2%
Applied rewrites36.1%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6439.6
Applied rewrites39.6%
Applied rewrites44.9%
Final simplification38.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(pow (sin (* -0.5 (- phi2 phi1))) 2.0)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
return (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), pow(sin((-0.5 * (phi2 - phi1))), 2.0))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), (sin(Float64(-0.5 * Float64(phi2 - phi1))) ^ 2.0))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * N[(phi2 - phi1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), {\sin \left(-0.5 \cdot \left(\phi_2 - \phi_1\right)\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}
\end{array}
\end{array}
Initial program 59.8%
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 rewrites42.2%
Applied rewrites38.2%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6424.9
Applied rewrites24.9%
Applied rewrites27.5%
Final simplification27.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (* 0.25 (* lambda1 lambda1)))
(t_2
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5)))))
(t_3
(*
(* R 2.0)
(atan2 (sqrt (fma t_0 t_1 (fma -0.5 (cos phi1) 0.5))) t_2))))
(if (<= phi1 -2.45e-5)
t_3
(if (<= phi1 4.8e+39)
(* (* R 2.0) (atan2 (sqrt (fma t_0 t_1 (fma -0.5 (cos phi2) 0.5))) t_2))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = 0.25 * (lambda1 * lambda1);
double t_2 = sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5))));
double t_3 = (R * 2.0) * atan2(sqrt(fma(t_0, t_1, fma(-0.5, cos(phi1), 0.5))), t_2);
double tmp;
if (phi1 <= -2.45e-5) {
tmp = t_3;
} else if (phi1 <= 4.8e+39) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, t_1, fma(-0.5, cos(phi2), 0.5))), t_2);
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(0.25 * Float64(lambda1 * lambda1)) t_2 = sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, t_1, fma(-0.5, cos(phi1), 0.5))), t_2)) tmp = 0.0 if (phi1 <= -2.45e-5) tmp = t_3; elseif (phi1 <= 4.8e+39) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, t_1, fma(-0.5, cos(phi2), 0.5))), t_2)); else tmp = t_3; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$1 + N[(-0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -2.45e-5], t$95$3, If[LessEqual[phi1, 4.8e+39], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$1 + N[(-0.5 * N[Cos[phi2], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right)\\
t_2 := \sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_1, \mathsf{fma}\left(-0.5, \cos \phi_1, 0.5\right)\right)}}{t\_2}\\
\mathbf{if}\;\phi_1 \leq -2.45 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 4.8 \cdot 10^{+39}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_1, \mathsf{fma}\left(-0.5, \cos \phi_2, 0.5\right)\right)}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -2.45e-5 or 4.8000000000000002e39 < phi1 Initial program 46.9%
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 rewrites33.9%
Applied rewrites34.2%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6419.8
Applied rewrites19.8%
Taylor expanded in phi2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6420.0
Applied rewrites20.0%
if -2.45e-5 < phi1 < 4.8000000000000002e39Initial program 71.1%
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 rewrites49.5%
Applied rewrites41.7%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6429.4
Applied rewrites29.4%
Taylor expanded in phi1 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
neg-mul-1N/A
cos-negN/A
lower-fma.f64N/A
lower-cos.f6429.4
Applied rewrites29.4%
Final simplification25.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(- 0.5 (* 0.5 (cos (* 2.0 (* -0.5 (- phi2 phi1))))))))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos lambda2) -0.5 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
return (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), (0.5 - (0.5 * cos((2.0 * (-0.5 * (phi2 - phi1)))))))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos(lambda2), -0.5, 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * 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(t_0 * fma(cos(lambda2), -0.5, 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * 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[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[lambda2], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 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{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \lambda_2, -0.5, 0.5\right)}}
\end{array}
\end{array}
Initial program 59.8%
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 rewrites42.2%
Applied rewrites38.2%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6424.9
Applied rewrites24.9%
Taylor expanded in lambda1 around 0
cos-negN/A
lower-cos.f6425.2
Applied rewrites25.2%
Final simplification25.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2))))
(*
(* R 2.0)
(atan2
(sqrt
(fma
t_0
(* 0.25 (* lambda1 lambda1))
(fma (cos (- phi2 phi1)) -0.5 0.5)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
return (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), fma(cos((phi2 - phi1)), -0.5, 0.5))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), fma(cos(Float64(phi2 - phi1)), -0.5, 0.5))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[N[(phi2 - phi1), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), \mathsf{fma}\left(\cos \left(\phi_2 - \phi_1\right), -0.5, 0.5\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}
\end{array}
\end{array}
Initial program 59.8%
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 rewrites42.2%
Applied rewrites38.2%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6424.9
Applied rewrites24.9%
Applied rewrites24.9%
Final simplification24.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2))))
(*
(* R 2.0)
(atan2
(sqrt (fma t_0 (* 0.25 (* lambda1 lambda1)) (fma -0.5 (cos phi1) 0.5)))
(sqrt
(-
(fma 0.5 (cos (- phi1 phi2)) 0.5)
(* t_0 (fma (cos (- lambda1 lambda2)) -0.5 0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
return (R * 2.0) * atan2(sqrt(fma(t_0, (0.25 * (lambda1 * lambda1)), fma(-0.5, cos(phi1), 0.5))), sqrt((fma(0.5, cos((phi1 - phi2)), 0.5) - (t_0 * fma(cos((lambda1 - lambda2)), -0.5, 0.5)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, Float64(0.25 * Float64(lambda1 * lambda1)), fma(-0.5, cos(phi1), 0.5))), sqrt(Float64(fma(0.5, cos(Float64(phi1 - phi2)), 0.5) - Float64(t_0 * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right), \mathsf{fma}\left(-0.5, \cos \phi_1, 0.5\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\phi_1 - \phi_2\right), 0.5\right) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}
\end{array}
\end{array}
Initial program 59.8%
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 rewrites42.2%
Applied rewrites38.2%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6424.9
Applied rewrites24.9%
Taylor expanded in phi2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6417.1
Applied rewrites17.1%
Final simplification17.1%
herbie shell --seed 2024214
(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))))))))))