
(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 26 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* t_1 (* (* (cos phi1) (cos phi2)) t_1)))
(t_3 (+ t_2 t_0))
(t_4 (sqrt t_3))
(t_5
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 -0.5))
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5))))
2.0)))
(if (<= (atan2 t_4 (sqrt (- 1.0 t_3))) 0.07)
(*
R
(*
2.0
(atan2
t_4
(sqrt
(-
1.0
(+
t_0
(*
(cos phi1)
(*
(sin (* 0.5 (- lambda1 lambda2)))
(sin
(*
(* 0.25 (* lambda1 lambda2))
(+ (/ 2.0 lambda2) (/ -2.0 lambda1))))))))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(*
(cos phi2)
(* (cos phi1) (fma -0.5 (cos (- lambda1 lambda2)) 0.5)))
t_5))
(sqrt (- 1.0 (+ t_2 t_5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = t_1 * ((cos(phi1) * cos(phi2)) * t_1);
double t_3 = t_2 + t_0;
double t_4 = sqrt(t_3);
double t_5 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * -0.5)), (cos((phi1 * 0.5)) * sin((phi2 * -0.5)))), 2.0);
double tmp;
if (atan2(t_4, sqrt((1.0 - t_3))) <= 0.07) {
tmp = R * (2.0 * atan2(t_4, sqrt((1.0 - (t_0 + (cos(phi1) * (sin((0.5 * (lambda1 - lambda2))) * sin(((0.25 * (lambda1 * lambda2)) * ((2.0 / lambda2) + (-2.0 / lambda1)))))))))));
} else {
tmp = R * (2.0 * atan2(sqrt(((cos(phi2) * (cos(phi1) * fma(-0.5, cos((lambda1 - lambda2)), 0.5))) + t_5)), sqrt((1.0 - (t_2 + t_5)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) t_3 = Float64(t_2 + t_0) t_4 = sqrt(t_3) t_5 = fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * -0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5)))) ^ 2.0 tmp = 0.0 if (atan(t_4, sqrt(Float64(1.0 - t_3))) <= 0.07) tmp = Float64(R * Float64(2.0 * atan(t_4, sqrt(Float64(1.0 - Float64(t_0 + Float64(cos(phi1) * Float64(sin(Float64(0.5 * Float64(lambda1 - lambda2))) * sin(Float64(Float64(0.25 * Float64(lambda1 * lambda2)) * Float64(Float64(2.0 / lambda2) + Float64(-2.0 / lambda1)))))))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi2) * Float64(cos(phi1) * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5))) + t_5)), sqrt(Float64(1.0 - Float64(t_2 + t_5)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[t$95$3], $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], 0.07], N[(R * N[(2.0 * N[ArcTan[t$95$4 / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(0.25 * N[(lambda1 * lambda2), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 / lambda2), $MachinePrecision] + N[(-2.0 / lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right)\\
t_3 := t\_2 + t\_0\\
t_4 := \sqrt{t\_3}\\
t_5 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot -0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\\
\mathbf{if}\;\tan^{-1}_* \frac{t\_4}{\sqrt{1 - t\_3}} \leq 0.07:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_4}{\sqrt{1 - \left(t\_0 + \cos \phi_1 \cdot \left(\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right) \cdot \sin \left(\left(0.25 \cdot \left(\lambda_1 \cdot \lambda_2\right)\right) \cdot \left(\frac{2}{\lambda_2} + \frac{-2}{\lambda_1}\right)\right)\right)\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_2 \cdot \left(\cos \phi_1 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right) + t\_5}}{\sqrt{1 - \left(t\_2 + t\_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)))))))) < 0.070000000000000007Initial program 99.9%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
clear-numN/A
clear-numN/A
frac-subN/A
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f6499.9
Applied rewrites99.9%
Taylor expanded in phi2 around 0
Applied rewrites100.0%
if 0.070000000000000007 < (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 60.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6462.1
Applied rewrites62.1%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites78.2%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites78.2%
Applied rewrites78.3%
Final simplification79.4%
(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))
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 -0.5))
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5))))
2.0))))
(* 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 = (t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + pow(fma(sin((phi1 * 0.5)), cos((phi2 * -0.5)), (cos((phi1 * 0.5)) * sin((phi2 * -0.5)))), 2.0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + (fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * -0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(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[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $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 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot -0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.0
Applied rewrites64.0%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.3%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites79.3%
Final simplification79.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(cos phi1)
(pow
(fma
(sin (* phi2 -0.5))
(cos (* phi1 0.5))
(* (cos (* phi2 -0.5)) (sin (* phi1 0.5))))
2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma((cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)), cos(phi1), pow(fma(sin((phi2 * -0.5)), cos((phi1 * 0.5)), (cos((phi2 * -0.5)) * sin((phi1 * 0.5)))), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)), cos(phi1), (fma(sin(Float64(phi2 * -0.5)), cos(Float64(phi1 * 0.5)), Float64(cos(Float64(phi2 * -0.5)) * sin(Float64(phi1 * 0.5)))) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[(N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}, \cos \phi_1, {\left(\mathsf{fma}\left(\sin \left(\phi_2 \cdot -0.5\right), \cos \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot -0.5\right) \cdot \sin \left(\phi_1 \cdot 0.5\right)\right)\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.0
Applied rewrites64.0%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.3%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites79.3%
Taylor expanded in phi1 around 0
Applied rewrites79.3%
Final simplification79.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 -0.5))
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5))))
2.0))
(t_2 (+ (* t_0 (* (* (cos phi1) (cos phi2)) t_0)) t_1))
(t_3 (sqrt t_2))
(t_4 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_5 (+ (* (cos phi1) t_4) t_1)))
(if (<= phi1 -6.2e-5)
(* R (* 2.0 (atan2 t_3 (sqrt (- 1.0 t_5)))))
(if (<= phi1 2.2e+29)
(* R (* 2.0 (atan2 t_3 (sqrt (- 1.0 (+ (* (cos phi2) t_4) t_1))))))
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(fma(sin((phi1 * 0.5)), cos((phi2 * -0.5)), (cos((phi1 * 0.5)) * sin((phi2 * -0.5)))), 2.0);
double t_2 = (t_0 * ((cos(phi1) * cos(phi2)) * t_0)) + t_1;
double t_3 = sqrt(t_2);
double t_4 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_5 = (cos(phi1) * t_4) + t_1;
double tmp;
if (phi1 <= -6.2e-5) {
tmp = R * (2.0 * atan2(t_3, sqrt((1.0 - t_5))));
} else if (phi1 <= 2.2e+29) {
tmp = R * (2.0 * atan2(t_3, sqrt((1.0 - ((cos(phi2) * t_4) + t_1)))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * -0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5)))) ^ 2.0 t_2 = Float64(Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) + t_1) t_3 = sqrt(t_2) t_4 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_5 = Float64(Float64(cos(phi1) * t_4) + t_1) tmp = 0.0 if (phi1 <= -6.2e-5) tmp = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - t_5))))); elseif (phi1 <= 2.2e+29) tmp = Float64(R * Float64(2.0 * atan(t_3, sqrt(Float64(1.0 - Float64(Float64(cos(phi2) * t_4) + t_1)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_2))))); 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[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[t$95$2], $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[Cos[phi1], $MachinePrecision] * t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[phi1, -6.2e-5], N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 2.2e+29], N[(R * N[(2.0 * N[ArcTan[t$95$3 / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi2], $MachinePrecision] * t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot -0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\\
t_2 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) + t\_1\\
t_3 := \sqrt{t\_2}\\
t_4 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_5 := \cos \phi_1 \cdot t\_4 + t\_1\\
\mathbf{if}\;\phi_1 \leq -6.2 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - t\_5}}\right)\\
\mathbf{elif}\;\phi_1 \leq 2.2 \cdot 10^{+29}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_3}{\sqrt{1 - \left(\cos \phi_2 \cdot t\_4 + t\_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
\end{array}
if phi1 < -6.20000000000000027e-5Initial program 44.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6447.9
Applied rewrites47.9%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites78.4%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites78.5%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
lower-*.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6463.8
Applied rewrites63.8%
if -6.20000000000000027e-5 < phi1 < 2.2000000000000001e29Initial program 76.6%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6476.8
Applied rewrites76.8%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites78.9%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites78.9%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
lower-*.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6477.8
Applied rewrites77.8%
if 2.2000000000000001e29 < phi1 Initial program 53.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6454.4
Applied rewrites54.4%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites81.2%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites81.3%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
lower-*.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6466.2
Applied rewrites66.2%
Final simplification71.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5)))
(t_1 (sin (* phi1 0.5)))
(t_2
(pow (fma t_1 (cos (* phi2 -0.5)) (* t_0 (sin (* phi2 -0.5)))) 2.0))
(t_3
(+ (* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)) t_2))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (* t_4 (* (* (cos phi1) (cos phi2)) t_4)))
(t_6 (+ t_5 t_2)))
(if (<= phi2 -0.00026)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_6)))))
(if (<= phi2 0.00024)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_5
(pow
(- (* t_1 (cos (* 0.5 phi2))) (* t_0 (sin (* 0.5 phi2))))
2.0)))
(sqrt
(fma
phi2
(* t_0 t_1)
(-
(pow t_0 2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))))
(* R (* 2.0 (atan2 (sqrt t_6) (sqrt (- 1.0 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = sin((phi1 * 0.5));
double t_2 = pow(fma(t_1, cos((phi2 * -0.5)), (t_0 * sin((phi2 * -0.5)))), 2.0);
double t_3 = (cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)) + t_2;
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = t_4 * ((cos(phi1) * cos(phi2)) * t_4);
double t_6 = t_5 + t_2;
double tmp;
if (phi2 <= -0.00026) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_6))));
} else if (phi2 <= 0.00024) {
tmp = R * (2.0 * atan2(sqrt((t_5 + pow(((t_1 * cos((0.5 * phi2))) - (t_0 * sin((0.5 * phi2)))), 2.0))), sqrt(fma(phi2, (t_0 * t_1), (pow(t_0, 2.0) - (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_6), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = fma(t_1, cos(Float64(phi2 * -0.5)), Float64(t_0 * sin(Float64(phi2 * -0.5)))) ^ 2.0 t_3 = Float64(Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) + t_2) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64(t_4 * Float64(Float64(cos(phi1) * cos(phi2)) * t_4)) t_6 = Float64(t_5 + t_2) tmp = 0.0 if (phi2 <= -0.00026) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_6))))); elseif (phi2 <= 0.00024) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_5 + (Float64(Float64(t_1 * cos(Float64(0.5 * phi2))) - Float64(t_0 * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(fma(phi2, Float64(t_0 * t_1), Float64((t_0 ^ 2.0) - Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - t_3))))); end return tmp 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[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(t$95$1 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$0 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 + t$95$2), $MachinePrecision]}, If[LessEqual[phi2, -0.00026], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 0.00024], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$5 + N[Power[N[(N[(t$95$1 * 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]], $MachinePrecision] / N[Sqrt[N[(phi2 * N[(t$95$0 * t$95$1), $MachinePrecision] + N[(N[Power[t$95$0, 2.0], $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $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(\phi_1 \cdot 0.5\right)\\
t_2 := {\left(\mathsf{fma}\left(t\_1, \cos \left(\phi_2 \cdot -0.5\right), t\_0 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\\
t_3 := \cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2} + t\_2\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := t\_4 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right)\\
t_6 := t\_5 + t\_2\\
\mathbf{if}\;\phi_2 \leq -0.00026:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_6}}\right)\\
\mathbf{elif}\;\phi_2 \leq 0.00024:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + {\left(t\_1 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_0 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}}}{\sqrt{\mathsf{fma}\left(\phi_2, t\_0 \cdot t\_1, {t\_0}^{2} - \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if phi2 < -2.59999999999999977e-4Initial program 48.3%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6450.0
Applied rewrites50.0%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites85.0%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites85.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
lower-*.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6466.6
Applied rewrites66.6%
if -2.59999999999999977e-4 < phi2 < 2.40000000000000006e-4Initial program 77.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6477.8
Applied rewrites77.8%
Taylor expanded in phi2 around 0
Applied rewrites78.5%
if 2.40000000000000006e-4 < phi2 Initial program 48.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6451.3
Applied rewrites51.3%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites75.9%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites75.9%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
lower-*.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6461.7
Applied rewrites61.7%
Final simplification71.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (* phi1 0.5)))
(t_1 (sin (* phi1 0.5)))
(t_2
(pow (fma t_1 (cos (* phi2 -0.5)) (* t_0 (sin (* phi2 -0.5)))) 2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* t_3 (* (* (cos phi1) (cos phi2)) t_3)))
(t_5
(*
R
(*
2.0
(atan2
(sqrt
(+
(* (cos phi2) (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
t_2))
(sqrt (- 1.0 (+ t_4 t_2))))))))
(if (<= phi2 -0.00026)
t_5
(if (<= phi2 0.00024)
(*
R
(*
2.0
(atan2
(sqrt
(+
t_4
(pow
(- (* t_1 (cos (* 0.5 phi2))) (* t_0 (sin (* 0.5 phi2))))
2.0)))
(sqrt
(fma
phi2
(* t_0 t_1)
(-
(pow t_0 2.0)
(* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))))))))
t_5))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 * 0.5));
double t_1 = sin((phi1 * 0.5));
double t_2 = pow(fma(t_1, cos((phi2 * -0.5)), (t_0 * sin((phi2 * -0.5)))), 2.0);
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = t_3 * ((cos(phi1) * cos(phi2)) * t_3);
double t_5 = R * (2.0 * atan2(sqrt(((cos(phi2) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0)) + t_2)), sqrt((1.0 - (t_4 + t_2)))));
double tmp;
if (phi2 <= -0.00026) {
tmp = t_5;
} else if (phi2 <= 0.00024) {
tmp = R * (2.0 * atan2(sqrt((t_4 + pow(((t_1 * cos((0.5 * phi2))) - (t_0 * sin((0.5 * phi2)))), 2.0))), sqrt(fma(phi2, (t_0 * t_1), (pow(t_0, 2.0) - (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)))))));
} else {
tmp = t_5;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 * 0.5)) t_1 = sin(Float64(phi1 * 0.5)) t_2 = fma(t_1, cos(Float64(phi2 * -0.5)), Float64(t_0 * sin(Float64(phi2 * -0.5)))) ^ 2.0 t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)) t_5 = Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(cos(phi2) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) + t_2)), sqrt(Float64(1.0 - Float64(t_4 + t_2)))))) tmp = 0.0 if (phi2 <= -0.00026) tmp = t_5; elseif (phi2 <= 0.00024) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_4 + (Float64(Float64(t_1 * cos(Float64(0.5 * phi2))) - Float64(t_0 * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(fma(phi2, Float64(t_0 * t_1), Float64((t_0 ^ 2.0) - Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)))))))); else tmp = t_5; end return tmp 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[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(t$95$1 * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(t$95$0 * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$4 + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.00026], t$95$5, If[LessEqual[phi2, 0.00024], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$4 + N[Power[N[(N[(t$95$1 * 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]], $MachinePrecision] / N[Sqrt[N[(phi2 * N[(t$95$0 * t$95$1), $MachinePrecision] + N[(N[Power[t$95$0, 2.0], $MachinePrecision] - N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 \cdot 0.5\right)\\
t_1 := \sin \left(\phi_1 \cdot 0.5\right)\\
t_2 := {\left(\mathsf{fma}\left(t\_1, \cos \left(\phi_2 \cdot -0.5\right), t\_0 \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := t\_3 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right)\\
t_5 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\cos \phi_2 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2} + t\_2}}{\sqrt{1 - \left(t\_4 + t\_2\right)}}\right)\\
\mathbf{if}\;\phi_2 \leq -0.00026:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\phi_2 \leq 0.00024:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4 + {\left(t\_1 \cdot \cos \left(0.5 \cdot \phi_2\right) - t\_0 \cdot \sin \left(0.5 \cdot \phi_2\right)\right)}^{2}}}{\sqrt{\mathsf{fma}\left(\phi_2, t\_0 \cdot t\_1, {t\_0}^{2} - \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if phi2 < -2.59999999999999977e-4 or 2.40000000000000006e-4 < phi2 Initial program 48.5%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6450.7
Applied rewrites50.7%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites80.1%
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
sin-diffN/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
Applied rewrites80.1%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
sub-negN/A
+-commutativeN/A
distribute-lft-inN/A
neg-mul-1N/A
associate-*r*N/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
distribute-lft-inN/A
lower-*.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f6463.7
Applied rewrites63.7%
if -2.59999999999999977e-4 < phi2 < 2.40000000000000006e-4Initial program 77.8%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6477.8
Applied rewrites77.8%
Taylor expanded in phi2 around 0
Applied rewrites78.5%
Final simplification71.0%
(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 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4 (* 0.5 (cos (* 2.0 t_2))))
(t_5 (+ 0.5 t_4)))
(if (<=
(+
(* t_3 (* (* (cos phi1) (cos phi2)) t_3))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.032)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(pow (sin t_2) 2.0)))
(sqrt (+ t_5 (* (cos phi1) (* (cos phi2) (- t_1 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_1)) (- 0.5 t_4)))
(sqrt (- t_5 (* (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0))))))))))
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 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = 0.5 * cos((2.0 * t_2));
double t_5 = 0.5 + t_4;
double tmp;
if (((t_3 * ((cos(phi1) * cos(phi2)) * t_3)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.032) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), pow(sin(t_2), 2.0))), sqrt((t_5 + (cos(phi1) * (cos(phi2) * (t_1 - 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_1)), (0.5 - t_4))), sqrt((t_5 - (cos(phi1) * (cos(phi2) * pow(sin(t_0), 2.0))))));
}
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 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = Float64(0.5 * cos(Float64(2.0 * t_2))) t_5 = Float64(0.5 + t_4) tmp = 0.0 if (Float64(Float64(t_3 * Float64(Float64(cos(phi1) * cos(phi2)) * t_3)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.032) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (sin(t_2) ^ 2.0))), sqrt(Float64(t_5 + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_1 - 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_4))), sqrt(Float64(t_5 - Float64(cos(phi1) * Float64(cos(phi2) * (sin(t_0) ^ 2.0))))))); 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[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(0.5 + t$95$4), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$3 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.032], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$5 + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$1), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$5 - N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
t_2 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := 0.5 \cdot \cos \left(2 \cdot t\_2\right)\\
t_5 := 0.5 + t\_4\\
\mathbf{if}\;t\_3 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.032:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), {\sin t\_2}^{2}\right)}}{\sqrt{t\_5 + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_1 - 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_1\right), 0.5 - t\_4\right)}}{\sqrt{t\_5 - \cos \phi_1 \cdot \left(\cos \phi_2 \cdot {\sin t\_0}^{2}\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.032000000000000001Initial program 72.3%
Applied rewrites35.7%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6437.3
Applied rewrites37.3%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
unpow2N/A
lift-pow.f6454.1
Applied rewrites54.1%
if 0.032000000000000001 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.8%
Applied rewrites61.9%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
pow2N/A
lower-pow.f6461.9
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6461.9
Applied rewrites61.9%
Final simplification61.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (* 2.0 t_1))))
(t_4 (sqrt (+ (+ 0.5 t_3) (* (cos phi1) (* (cos phi2) (- t_0 0.5)))))))
(if (<=
(+
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
0.032)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(pow (sin t_1) 2.0)))
t_4))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_0)) (- 0.5 t_3)))
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 = 0.5 * (phi1 - phi2);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((2.0 * t_1));
double t_4 = sqrt(((0.5 + t_3) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5)))));
double tmp;
if (((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 0.032) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), pow(sin(t_1), 2.0))), t_4);
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), (0.5 - t_3))), 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(0.5 * Float64(phi1 - phi2)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(2.0 * t_1))) t_4 = sqrt(Float64(Float64(0.5 + t_3) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5))))) tmp = 0.0 if (Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 0.032) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (sin(t_1) ^ 2.0))), t_4)); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_0)), Float64(0.5 - t_3))), 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[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[N[(2.0 * t$95$1), $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$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 0.032], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := 0.5 \cdot \cos \left(2 \cdot t\_1\right)\\
t_4 := \sqrt{\left(0.5 + t\_3\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)}\\
\mathbf{if}\;t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 0.032:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), {\sin t\_1}^{2}\right)}}{t\_4}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_0\right), 0.5 - t\_3\right)}}{t\_4}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.032000000000000001Initial program 72.3%
Applied rewrites35.7%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6437.3
Applied rewrites37.3%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-sin.f64N/A
unpow2N/A
lift-pow.f6454.1
Applied rewrites54.1%
if 0.032000000000000001 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 61.8%
Applied rewrites61.9%
Final simplification61.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_1 (- 0.5 t_0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(if (<=
(+
(* t_2 (* (* (cos phi1) (cos phi2)) t_2))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
2e-18)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
(* lambda1 lambda1)
(fma -0.020833333333333332 (* lambda1 lambda1) 0.25)))
t_1))
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_3)) t_1))
(sqrt (+ (+ 0.5 t_0) (* (cos phi1) (* (cos phi2) (- t_3 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_1 = 0.5 - t_0;
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double tmp;
if (((t_2 * ((cos(phi1) * cos(phi2)) * t_2)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-18) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * ((lambda1 * lambda1) * fma(-0.020833333333333332, (lambda1 * lambda1), 0.25))), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_3)), t_1)), sqrt(((0.5 + t_0) + (cos(phi1) * (cos(phi2) * (t_3 - 0.5))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_1 = Float64(0.5 - t_0) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) tmp = 0.0 if (Float64(Float64(t_2 * Float64(Float64(cos(phi1) * cos(phi2)) * t_2)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-18) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(lambda1 * lambda1) * fma(-0.020833333333333332, Float64(lambda1 * lambda1), 0.25))), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_3)), t_1)), sqrt(Float64(Float64(0.5 + t_0) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_3 - 0.5))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - t$95$0), $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[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$2 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-18], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * N[(-0.020833333333333332 * N[(lambda1 * lambda1), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$0), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$3 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_1 := 0.5 - t\_0\\
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(\lambda_1 - \lambda_2\right)\right)\right)\\
\mathbf{if}\;t\_2 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-18}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left(\lambda_1 \cdot \lambda_1\right) \cdot \mathsf{fma}\left(-0.020833333333333332, \lambda_1 \cdot \lambda_1, 0.25\right)\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_3\right), t\_1\right)}}{\sqrt{\left(0.5 + t\_0\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_3 - 0.5\right)\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 2.0000000000000001e-18Initial program 71.4%
Applied rewrites2.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f645.2
Applied rewrites5.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f645.4
Applied rewrites5.4%
Taylor expanded in lambda1 around 0
Applied rewrites37.2%
if 2.0000000000000001e-18 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.4%
Applied rewrites62.4%
Final simplification61.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow
(-
(* (sin (* phi1 0.5)) (cos (* 0.5 phi2)))
(* (cos (* phi1 0.5)) (sin (* 0.5 phi2))))
2.0)))
(sqrt
(/
(-
(+ t_0 1.0)
(*
(+ t_0 (cos (+ phi1 phi2)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(((sin((phi1 * 0.5)) * cos((0.5 * phi2))) - (cos((phi1 * 0.5)) * sin((0.5 * phi2)))), 2.0))), sqrt((((t_0 + 1.0) - ((t_0 + cos((phi1 + phi2))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (Float64(Float64(sin(Float64(phi1 * 0.5)) * cos(Float64(0.5 * phi2))) - Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(0.5 * phi2)))) ^ 2.0))), sqrt(Float64(Float64(Float64(t_0 + 1.0) - Float64(Float64(t_0 + cos(Float64(phi1 + phi2))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 + 1.0), $MachinePrecision] - N[(N[(t$95$0 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\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}}}{\sqrt{\frac{\left(t\_0 + 1\right) - \left(t\_0 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6463.6
Applied rewrites63.6%
Applied rewrites64.3%
Final simplification64.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* t_0 t_1))
(pow
(fma
(sin (* phi1 0.5))
(cos (* phi2 -0.5))
(* (cos (* phi1 0.5)) (sin (* phi2 -0.5))))
2.0)))
(sqrt
(fma
(cos (- phi1 phi2))
0.5
(- 0.5 (* t_0 (fma -0.5 (cos (- lambda1 lambda2)) 0.5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(fma(sin((phi1 * 0.5)), cos((phi2 * -0.5)), (cos((phi1 * 0.5)) * sin((phi2 * -0.5)))), 2.0))), sqrt(fma(cos((phi1 - phi2)), 0.5, (0.5 - (t_0 * fma(-0.5, cos((lambda1 - lambda2)), 0.5)))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (fma(sin(Float64(phi1 * 0.5)), cos(Float64(phi2 * -0.5)), Float64(cos(Float64(phi1 * 0.5)) * sin(Float64(phi2 * -0.5)))) ^ 2.0))), sqrt(fma(cos(Float64(phi1 - phi2)), 0.5, Float64(0.5 - Float64(t_0 * fma(-0.5, cos(Float64(lambda1 - lambda2)), 0.5)))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[Sin[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision] + N[(N[Cos[N[(phi1 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(0.5 - N[(t$95$0 * N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\right) + {\left(\mathsf{fma}\left(\sin \left(\phi_1 \cdot 0.5\right), \cos \left(\phi_2 \cdot -0.5\right), \cos \left(\phi_1 \cdot 0.5\right) \cdot \sin \left(\phi_2 \cdot -0.5\right)\right)\right)}^{2}}}{\sqrt{\mathsf{fma}\left(\cos \left(\phi_1 - \phi_2\right), 0.5, 0.5 - t\_0 \cdot \mathsf{fma}\left(-0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)\right)}}\right)
\end{array}
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.0
Applied rewrites64.0%
lift-sin.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
lift--.f64N/A
distribute-rgt-out--N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
cancel-sign-sub-invN/A
metadata-evalN/A
lift-*.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites79.3%
Applied rewrites63.7%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<=
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
2e-18)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
(* lambda1 lambda1)
(fma -0.020833333333333332 (* lambda1 lambda1) 0.25)))
t_0))
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_0))
(sqrt (fma (* 0.5 (cos lambda1)) (cos phi1) 0.5)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0)) <= 2e-18) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * ((lambda1 * lambda1) * fma(-0.020833333333333332, (lambda1 * lambda1), 0.25))), t_0)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_0)), sqrt(fma((0.5 * cos(lambda1)), cos(phi1), 0.5)));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0)) <= 2e-18) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(lambda1 * lambda1) * fma(-0.020833333333333332, Float64(lambda1 * lambda1), 0.25))), t_0)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_0)), sqrt(fma(Float64(0.5 * cos(lambda1)), cos(phi1), 0.5)))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 2e-18], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * N[(-0.020833333333333332 * N[(lambda1 * lambda1), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} \leq 2 \cdot 10^{-18}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left(\lambda_1 \cdot \lambda_1\right) \cdot \mathsf{fma}\left(-0.020833333333333332, \lambda_1 \cdot \lambda_1, 0.25\right)\right), t\_0\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_0\right)}}{\sqrt{\mathsf{fma}\left(0.5 \cdot \cos \lambda_1, \cos \phi_1, 0.5\right)}}\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 2.0000000000000001e-18Initial program 71.4%
Applied rewrites2.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f645.2
Applied rewrites5.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f645.4
Applied rewrites5.4%
Taylor expanded in lambda1 around 0
Applied rewrites37.2%
if 2.0000000000000001e-18 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.4%
Applied rewrites62.4%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6446.9
Applied rewrites46.9%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6436.2
Applied rewrites36.2%
Taylor expanded in lambda2 around 0
Applied rewrites35.9%
Final simplification36.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- phi1 phi2))) (t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(* t_1 (* (* (cos phi1) (cos phi2)) t_1))
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)))
(sqrt
(/
(-
(+ t_0 1.0)
(*
(+ t_0 (cos (+ phi1 phi2)))
(fma (cos (- lambda1 lambda2)) -0.5 0.5)))
2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi1 - phi2));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * ((cos(phi1) * cos(phi2)) * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 2.0))), sqrt((((t_0 + 1.0) - ((t_0 + cos((phi1 + phi2))) * fma(cos((lambda1 - lambda2)), -0.5, 0.5))) / 2.0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi1 - phi2)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(Float64(cos(phi1) * cos(phi2)) * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(Float64(Float64(Float64(t_0 + 1.0) - Float64(Float64(t_0 + cos(Float64(phi1 + phi2))) * fma(cos(Float64(lambda1 - lambda2)), -0.5, 0.5))) / 2.0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$0 + 1.0), $MachinePrecision] - N[(N[(t$95$0 + N[Cos[N[(phi1 + phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\phi_1 - \phi_2\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) + {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}}}{\sqrt{\frac{\left(t\_0 + 1\right) - \left(t\_0 + \cos \left(\phi_1 + \phi_2\right)\right) \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.0
Applied rewrites64.0%
Applied rewrites63.7%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (* t_1 (* t_0 t_1)) (pow (sin (/ (- phi1 phi2) 2.0)) 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);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt(((t_1 * (t_0 * t_1)) + pow(sin(((phi1 - phi2) / 2.0)), 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)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64(Float64(t_1 * Float64(t_0 * t_1)) + (sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0))), sqrt(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]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(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]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1 \cdot \left(t\_0 \cdot t\_1\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) - t\_0 \cdot \mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -0.5, 0.5\right)}}\right)
\end{array}
\end{array}
Initial program 62.9%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f64N/A
lower-sin.f64N/A
div-invN/A
metadata-evalN/A
lower-*.f6464.0
Applied rewrites64.0%
Applied rewrites63.0%
Final simplification63.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- lambda1 lambda2)))
(t_1 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(*
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (pow (sin t_0) 2.0)) (- 0.5 t_1)))
(sqrt
(+
(+ 0.5 t_1)
(* (cos phi1) (* (cos phi2) (- (* 0.5 (cos (* 2.0 t_0))) 0.5))))))
(* R 2.0))))
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 * (0.5 * (phi1 - phi2))));
return atan2(sqrt(fma(cos(phi1), (cos(phi2) * pow(sin(t_0), 2.0)), (0.5 - t_1))), sqrt(((0.5 + t_1) + (cos(phi1) * (cos(phi2) * ((0.5 * cos((2.0 * t_0))) - 0.5)))))) * (R * 2.0);
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) return Float64(atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * (sin(t_0) ^ 2.0)), Float64(0.5 - t_1))), sqrt(Float64(Float64(0.5 + t_1) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(Float64(0.5 * cos(Float64(2.0 * t_0))) - 0.5)))))) * Float64(R * 2.0)) 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 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, 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$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + t$95$1), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
\tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot {\sin t\_0}^{2}, 0.5 - t\_1\right)}}{\sqrt{\left(0.5 + t\_1\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 \cdot \cos \left(2 \cdot t\_0\right) - 0.5\right)\right)}} \cdot \left(R \cdot 2\right)
\end{array}
\end{array}
Initial program 62.9%
Applied rewrites59.1%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
pow2N/A
lower-pow.f6461.2
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6461.2
Applied rewrites61.2%
Final simplification61.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2))))))
(t_1 (* 0.5 (- phi1 phi2))))
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) (* (cos phi2) (- 0.5 t_0)) (pow (sin t_1) 2.0)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_1))))
(* (cos phi1) (* (cos phi2) (- t_0 0.5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))));
double t_1 = 0.5 * (phi1 - phi2);
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - t_0)), pow(sin(t_1), 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_1)))) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))) t_1 = Float64(0.5 * Float64(phi1 - phi2)) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - t_0)), (sin(t_1) ^ 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_1)))) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - t\_0\right), {\sin t\_1}^{2}\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)}}
\end{array}
\end{array}
Initial program 62.9%
Applied rewrites59.1%
lift--.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
sqr-sin-aN/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
lower-sin.f64N/A
lift-*.f64N/A
metadata-evalN/A
div-invN/A
lift-/.f64N/A
unpow2N/A
lift-pow.f6460.9
lift-/.f64N/A
div-invN/A
metadata-evalN/A
lift-*.f6460.9
Applied rewrites60.9%
Final simplification60.9%
(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 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(t_3
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (- 0.5 t_2)))
(sqrt
(+
0.5
(*
(cos phi2)
(- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))))
(if (<= phi2 -1.28e-5)
t_3
(if (<= phi2 8e-10)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 (fma -0.5 (cos phi1) 0.5)))
(sqrt (+ (+ 0.5 t_2) (* (cos phi1) (* (cos phi2) (- t_0 0.5)))))))
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(phi2) * (0.5 - t_0);
double t_2 = 0.5 * cos((2.0 * (0.5 * (phi1 - phi2))));
double t_3 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, (0.5 - t_2))), sqrt((0.5 + (cos(phi2) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))));
double tmp;
if (phi2 <= -1.28e-5) {
tmp = t_3;
} else if (phi2 <= 8e-10) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, fma(-0.5, cos(phi1), 0.5))), sqrt(((0.5 + t_2) + (cos(phi1) * (cos(phi2) * (t_0 - 0.5))))));
} 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(phi2) * Float64(0.5 - t_0)) t_2 = Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))) t_3 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, Float64(0.5 - t_2))), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))))) tmp = 0.0 if (phi2 <= -1.28e-5) tmp = t_3; elseif (phi2 <= 8e-10) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, fma(-0.5, cos(phi1), 0.5))), sqrt(Float64(Float64(0.5 + t_2) + Float64(cos(phi1) * Float64(cos(phi2) * Float64(t_0 - 0.5))))))); 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[phi2], $MachinePrecision] * N[(0.5 - t$95$0), $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[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(0.5 - t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.28e-5], t$95$3, If[LessEqual[phi2, 8e-10], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + N[(-0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision]), $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$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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_2 \cdot \left(0.5 - t\_0\right)\\
t_2 := 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_3 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, 0.5 - t\_2\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -1.28 \cdot 10^{-5}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 8 \cdot 10^{-10}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, \mathsf{fma}\left(-0.5, \cos \phi_1, 0.5\right)\right)}}{\sqrt{\left(0.5 + t\_2\right) + \cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(t\_0 - 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -1.2799999999999999e-5 or 8.00000000000000029e-10 < phi2 Initial program 48.8%
Applied rewrites48.0%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
sub-negN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
mul-1-negN/A
remove-double-negN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-cos.f6433.5
Applied rewrites33.5%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6449.2
Applied rewrites49.2%
if -1.2799999999999999e-5 < phi2 < 8.00000000000000029e-10Initial program 78.0%
Applied rewrites71.0%
Taylor expanded in phi2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6471.0
Applied rewrites71.0%
Final simplification59.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(t_1
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))
(t_2 (* (* R 2.0) (atan2 t_1 (sqrt (+ 0.5 (* (cos phi2) t_0)))))))
(if (<= phi2 -5.5e-5)
t_2
(if (<= phi2 0.00012)
(* (* 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 - (0.5 + (-0.5 * cos((lambda1 - lambda2))));
double t_1 = sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double t_2 = (R * 2.0) * atan2(t_1, sqrt((0.5 + (cos(phi2) * t_0))));
double tmp;
if (phi2 <= -5.5e-5) {
tmp = t_2;
} else if (phi2 <= 0.00012) {
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 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))) t_1 = sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) t_2 = Float64(Float64(R * 2.0) * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi2) * t_0))))) tmp = 0.0 if (phi2 <= -5.5e-5) tmp = t_2; elseif (phi2 <= 0.00012) tmp = Float64(Float64(R * 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[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -5.5e-5], t$95$2, If[LessEqual[phi2, 0.00012], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\\
t_1 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_2 \cdot t\_0}}\\
\mathbf{if}\;\phi_2 \leq -5.5 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 0.00012:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_1 \cdot t\_0}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -5.5000000000000002e-5 or 1.20000000000000003e-4 < phi2 Initial program 48.5%
Applied rewrites48.5%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
sub-negN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
mul-1-negN/A
remove-double-negN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-cos.f6434.0
Applied rewrites34.0%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6449.7
Applied rewrites49.7%
if -5.5000000000000002e-5 < phi2 < 1.20000000000000003e-4Initial program 77.8%
Applied rewrites70.1%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
sub-negN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
mul-1-negN/A
remove-double-negN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-cos.f6441.6
Applied rewrites41.6%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6470.1
Applied rewrites70.1%
Final simplification59.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_1))
(sqrt (+ 0.5 (* (cos phi2) (- 0.5 (fma -0.5 t_0 0.5)))))))))
(if (<= phi2 -0.00305)
t_2
(if (<= phi2 5.8e+22)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- lambda1 lambda2)))))))
t_1))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt((0.5 + (cos(phi2) * (0.5 - fma(-0.5, t_0, 0.5))))));
double tmp;
if (phi2 <= -0.00305) {
tmp = t_2;
} else if (phi2 <= 5.8e+22) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.5 - (0.5 * cos((2.0 * (0.5 * (lambda1 - lambda2))))))), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - fma(-0.5, t_0, 0.5))))))) tmp = 0.0 if (phi2 <= -0.00305) tmp = t_2; elseif (phi2 <= 5.8e+22) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(lambda1 - lambda2))))))), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.00305], t$95$2, If[LessEqual[phi2, 5.8e+22], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -0.00305:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 5.8 \cdot 10^{+22}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -0.00305000000000000019 or 5.8e22 < phi2 Initial program 48.6%
Applied rewrites48.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6441.9
Applied rewrites41.9%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6421.1
Applied rewrites21.1%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6443.1
Applied rewrites43.1%
if -0.00305000000000000019 < phi2 < 5.8e22Initial program 76.6%
Applied rewrites69.3%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
sub-negN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
mul-1-negN/A
remove-double-negN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-cos.f6440.1
Applied rewrites40.1%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6468.2
Applied rewrites68.2%
Final simplification55.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_1)))
(t_3 (sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
(if (<= phi1 -6.2e-5)
(* (* R 2.0) (atan2 t_2 t_3))
(if (<= phi1 3e-14)
(*
(* R 2.0)
(atan2 t_2 (sqrt (+ 0.5 (* (cos phi2) (- 0.5 (fma -0.5 t_0 0.5)))))))
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda2) 0.5)) t_1))
t_3))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1));
double t_3 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0))))));
double tmp;
if (phi1 <= -6.2e-5) {
tmp = (R * 2.0) * atan2(t_2, t_3);
} else if (phi1 <= 3e-14) {
tmp = (R * 2.0) * atan2(t_2, sqrt((0.5 + (cos(phi2) * (0.5 - fma(-0.5, t_0, 0.5))))));
} else {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda2), 0.5)), t_1)), t_3);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)) t_3 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))) tmp = 0.0 if (phi1 <= -6.2e-5) tmp = Float64(Float64(R * 2.0) * atan(t_2, t_3)); elseif (phi1 <= 3e-14) tmp = Float64(Float64(R * 2.0) * atan(t_2, sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - fma(-0.5, t_0, 0.5))))))); else tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda2), 0.5)), t_1)), t_3)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -6.2e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / t$95$3], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 3e-14], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$2 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda2], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / t$95$3], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_1\right)}\\
t_3 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}\\
\mathbf{if}\;\phi_1 \leq -6.2 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{t\_3}\\
\mathbf{elif}\;\phi_1 \leq 3 \cdot 10^{-14}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_2, 0.5\right), t\_1\right)}}{t\_3}\\
\end{array}
\end{array}
if phi1 < -6.20000000000000027e-5Initial program 44.9%
Applied rewrites45.0%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6440.8
Applied rewrites40.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6442.5
Applied rewrites42.5%
if -6.20000000000000027e-5 < phi1 < 2.9999999999999998e-14Initial program 78.8%
Applied rewrites70.7%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6449.9
Applied rewrites49.9%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6427.5
Applied rewrites27.5%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6450.0
Applied rewrites50.0%
if 2.9999999999999998e-14 < phi1 Initial program 52.4%
Applied rewrites52.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6439.0
Applied rewrites39.0%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6439.2
Applied rewrites39.2%
Taylor expanded in lambda1 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
cos-negN/A
lower-cos.f6448.1
Applied rewrites48.1%
Final simplification47.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))))
(t_2
(*
(* R 2.0)
(atan2
t_1
(sqrt (+ 0.5 (* (cos phi2) (- 0.5 (fma -0.5 t_0 0.5)))))))))
(if (<= phi2 -0.00014)
t_2
(if (<= phi2 5.8e+22)
(*
(* R 2.0)
(atan2 t_1 (sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))));
double t_2 = (R * 2.0) * atan2(t_1, sqrt((0.5 + (cos(phi2) * (0.5 - fma(-0.5, t_0, 0.5))))));
double tmp;
if (phi2 <= -0.00014) {
tmp = t_2;
} else if (phi2 <= 5.8e+22) {
tmp = (R * 2.0) * atan2(t_1, sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))) t_2 = Float64(Float64(R * 2.0) * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - fma(-0.5, t_0, 0.5))))))) tmp = 0.0 if (phi2 <= -0.00014) tmp = t_2; elseif (phi2 <= 5.8e+22) tmp = Float64(Float64(R * 2.0) * atan(t_1, sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.00014], t$95$2, If[LessEqual[phi2, 5.8e+22], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[t$95$1 / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \mathsf{fma}\left(-0.5, t\_0, 0.5\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -0.00014:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 5.8 \cdot 10^{+22}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{t\_1}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -1.3999999999999999e-4 or 5.8e22 < phi2 Initial program 48.6%
Applied rewrites48.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6441.9
Applied rewrites41.9%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6421.1
Applied rewrites21.1%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6443.1
Applied rewrites43.1%
if -1.3999999999999999e-4 < phi2 < 5.8e22Initial program 76.6%
Applied rewrites69.3%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6447.3
Applied rewrites47.3%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6447.3
Applied rewrites47.3%
Final simplification45.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)))
(t_1 (cos (- lambda1 lambda2)))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
t_0
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (+ 0.5 (* (cos phi2) (- 0.5 (fma -0.5 t_1 0.5)))))))))
(if (<= phi2 -3.4e-7)
t_2
(if (<= phi2 8e-5)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_0 (- 0.5 (* 0.5 (cos phi1)))))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_1))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * fma(-0.5, cos(lambda1), 0.5);
double t_1 = cos((lambda1 - lambda2));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt((0.5 + (cos(phi2) * (0.5 - fma(-0.5, t_1, 0.5))))));
double tmp;
if (phi2 <= -3.4e-7) {
tmp = t_2;
} else if (phi2 <= 8e-5) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, (0.5 - (0.5 * cos(phi1))))), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_1)))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(Float64(0.5 + Float64(cos(phi2) * Float64(0.5 - fma(-0.5, t_1, 0.5))))))) tmp = 0.0 if (phi2 <= -3.4e-7) tmp = t_2; elseif (phi2 <= 8e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, Float64(0.5 - Float64(0.5 * cos(phi1))))), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_1)))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 - N[(-0.5 * t$95$1 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3.4e-7], t$95$2, If[LessEqual[phi2, 8e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right)\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{0.5 + \cos \phi_2 \cdot \left(0.5 - \mathsf{fma}\left(-0.5, t\_1, 0.5\right)\right)}}\\
\mathbf{if}\;\phi_2 \leq -3.4 \cdot 10^{-7}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 8 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, 0.5 - 0.5 \cdot \cos \phi_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_1\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -3.39999999999999974e-7 or 8.00000000000000065e-5 < phi2 Initial program 48.5%
Applied rewrites48.5%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6440.8
Applied rewrites40.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6420.9
Applied rewrites20.9%
Taylor expanded in phi1 around 0
associate--l+N/A
lower-+.f64N/A
cos-negN/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f6442.0
Applied rewrites42.0%
if -3.39999999999999974e-7 < phi2 < 8.00000000000000065e-5Initial program 77.8%
Applied rewrites70.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6448.6
Applied rewrites48.6%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6448.6
Applied rewrites48.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f6448.6
Applied rewrites48.6%
Final simplification45.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(+
0.5
(* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))
(t_1
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(- 0.5 (* 0.5 (cos phi1)))))
t_0))))
(if (<= lambda1 -0.038)
t_1
(if (<= lambda1 7.2e-10)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
(* lambda1 lambda1)
(fma -0.020833333333333332 (* lambda1 lambda1) 0.25)))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
t_0))
t_1))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * cos((lambda1 - lambda2))))))));
double t_1 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (0.5 - (0.5 * cos(phi1))))), t_0);
double tmp;
if (lambda1 <= -0.038) {
tmp = t_1;
} else if (lambda1 <= 7.2e-10) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * ((lambda1 * lambda1) * fma(-0.020833333333333332, (lambda1 * lambda1), 0.25))), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), t_0);
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))))) t_1 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), Float64(0.5 - Float64(0.5 * cos(phi1))))), t_0)) tmp = 0.0 if (lambda1 <= -0.038) tmp = t_1; elseif (lambda1 <= 7.2e-10) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(lambda1 * lambda1) * fma(-0.020833333333333332, Float64(lambda1 * lambda1), 0.25))), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), t_0)); else tmp = t_1; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -0.038], t$95$1, If[LessEqual[lambda1, 7.2e-10], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * N[(-0.020833333333333332 * N[(lambda1 * lambda1), $MachinePrecision] + 0.25), $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] / t$95$0], $MachinePrecision]), $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
t_1 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), 0.5 - 0.5 \cdot \cos \phi_1\right)}}{t\_0}\\
\mathbf{if}\;\lambda_1 \leq -0.038:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 \leq 7.2 \cdot 10^{-10}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left(\lambda_1 \cdot \lambda_1\right) \cdot \mathsf{fma}\left(-0.020833333333333332, \lambda_1 \cdot \lambda_1, 0.25\right)\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda1 < -0.0379999999999999991 or 7.2e-10 < lambda1 Initial program 46.2%
Applied rewrites46.2%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6446.4
Applied rewrites46.4%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6439.6
Applied rewrites39.6%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-*.f64N/A
lower-cos.f6436.8
Applied rewrites36.8%
if -0.0379999999999999991 < lambda1 < 7.2e-10Initial program 77.2%
Applied rewrites70.2%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6443.2
Applied rewrites43.2%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6430.1
Applied rewrites30.1%
Taylor expanded in lambda1 around 0
Applied rewrites33.2%
Final simplification34.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_1))
(sqrt (fma 0.5 t_0 0.5))))))
(if (<= lambda1 -5e-11)
t_2
(if (<= lambda1 0.06)
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(*
(cos phi2)
(*
(* lambda1 lambda1)
(fma -0.020833333333333332 (* lambda1 lambda1) 0.25)))
t_1))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)));
double tmp;
if (lambda1 <= -5e-11) {
tmp = t_2;
} else if (lambda1 <= 0.06) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * ((lambda1 * lambda1) * fma(-0.020833333333333332, (lambda1 * lambda1), 0.25))), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)))) tmp = 0.0 if (lambda1 <= -5e-11) tmp = t_2; elseif (lambda1 <= 0.06) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(Float64(lambda1 * lambda1) * fma(-0.020833333333333332, Float64(lambda1 * lambda1), 0.25))), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 * t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -5e-11], t$95$2, If[LessEqual[lambda1, 0.06], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * lambda1), $MachinePrecision] * N[(-0.020833333333333332 * N[(lambda1 * lambda1), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}}\\
\mathbf{if}\;\lambda_1 \leq -5 \cdot 10^{-11}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 0.06:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(\left(\lambda_1 \cdot \lambda_1\right) \cdot \mathsf{fma}\left(-0.020833333333333332, \lambda_1 \cdot \lambda_1, 0.25\right)\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -5.00000000000000018e-11 or 0.059999999999999998 < lambda1 Initial program 46.6%
Applied rewrites46.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6446.8
Applied rewrites46.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6439.5
Applied rewrites39.5%
Taylor expanded in phi1 around 0
Applied rewrites31.0%
if -5.00000000000000018e-11 < lambda1 < 0.059999999999999998Initial program 77.1%
Applied rewrites70.0%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6442.8
Applied rewrites42.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6430.1
Applied rewrites30.1%
Taylor expanded in lambda1 around 0
Applied rewrites33.2%
Final simplification32.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(t_2
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (fma -0.5 (cos lambda1) 0.5)) t_1))
(sqrt (fma 0.5 t_0 0.5))))))
(if (<= lambda1 -5e-11)
t_2
(if (<= lambda1 0.014)
(*
(* R 2.0)
(atan2
(sqrt
(fma (cos phi1) (* (cos phi2) (* 0.25 (* lambda1 lambda1))) t_1))
(sqrt (+ 0.5 (* (cos phi1) (- 0.5 (+ 0.5 (* -0.5 t_0))))))))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))));
double t_2 = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)));
double tmp;
if (lambda1 <= -5e-11) {
tmp = t_2;
} else if (lambda1 <= 0.014) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * (0.25 * (lambda1 * lambda1))), t_1)), sqrt((0.5 + (cos(phi1) * (0.5 - (0.5 + (-0.5 * t_0)))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) t_2 = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), t_1)), sqrt(fma(0.5, t_0, 0.5)))) tmp = 0.0 if (lambda1 <= -5e-11) tmp = t_2; elseif (lambda1 <= 0.014) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * Float64(0.25 * Float64(lambda1 * lambda1))), t_1)), sqrt(Float64(0.5 + Float64(cos(phi1) * Float64(0.5 - Float64(0.5 + Float64(-0.5 * t_0)))))))); else tmp = t_2; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 * t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -5e-11], t$95$2, If[LessEqual[lambda1, 0.014], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.25 * N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 - N[(0.5 + N[(-0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\\
t_2 := \left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), t\_1\right)}}{\sqrt{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}}\\
\mathbf{if}\;\lambda_1 \leq -5 \cdot 10^{-11}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 0.014:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \left(0.25 \cdot \left(\lambda_1 \cdot \lambda_1\right)\right), t\_1\right)}}{\sqrt{0.5 + \cos \phi_1 \cdot \left(0.5 - \left(0.5 + -0.5 \cdot t\_0\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -5.00000000000000018e-11 or 0.0140000000000000003 < lambda1 Initial program 46.6%
Applied rewrites46.6%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6446.8
Applied rewrites46.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6439.5
Applied rewrites39.5%
Taylor expanded in phi1 around 0
Applied rewrites31.0%
if -5.00000000000000018e-11 < lambda1 < 0.0140000000000000003Initial program 77.1%
Applied rewrites70.0%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6442.8
Applied rewrites42.8%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6430.1
Applied rewrites30.1%
Taylor expanded in lambda1 around 0
Applied rewrites33.2%
Final simplification32.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt
(fma
(cos phi1)
(* (cos phi2) (fma -0.5 (cos lambda1) 0.5))
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(sqrt (fma 0.5 (cos (- lambda1 lambda2)) 0.5)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(fma(cos(phi1), (cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))))), sqrt(fma(0.5, cos((lambda1 - lambda2)), 0.5)));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), Float64(cos(phi2) * fma(-0.5, cos(lambda1), 0.5)), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))))), sqrt(fma(0.5, cos(Float64(lambda1 - lambda2)), 0.5)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(-0.5 * N[Cos[lambda1], $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot \mathsf{fma}\left(-0.5, \cos \lambda_1, 0.5\right), 0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right)}}{\sqrt{\mathsf{fma}\left(0.5, \cos \left(\lambda_1 - \lambda_2\right), 0.5\right)}}
\end{array}
Initial program 62.9%
Applied rewrites59.1%
Taylor expanded in lambda2 around 0
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f6444.6
Applied rewrites44.6%
Taylor expanded in phi2 around 0
associate--l+N/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-out--N/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
sub-negN/A
lower-+.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6434.5
Applied rewrites34.5%
Taylor expanded in phi1 around 0
Applied rewrites23.8%
Final simplification23.8%
herbie shell --seed 2024233
(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))))))))))