
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 19 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))
(t_1
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
2.0)))
(* (atan2 (sqrt (+ t_1 t_0)) (sqrt (- (- 1.0 t_0) t_1))) (* 2.0 R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_1 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))), 2.0);
return atan2(sqrt((t_1 + t_0)), sqrt(((1.0 - t_0) - t_1))) * (2.0 * R);
}
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 = (cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
t_1 = ((cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0)))) ** 2.0d0
code = atan2(sqrt((t_1 + t_0)), sqrt(((1.0d0 - t_0) - t_1))) * (2.0d0 * r)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_1 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5)))), 2.0);
return Math.atan2(Math.sqrt((t_1 + t_0)), Math.sqrt(((1.0 - t_0) - t_1))) * (2.0 * R);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) t_1 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)))), 2.0) return math.atan2(math.sqrt((t_1 + t_0)), math.sqrt(((1.0 - t_0) - t_1))) * (2.0 * R)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) t_1 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 return Float64(atan(sqrt(Float64(t_1 + t_0)), sqrt(Float64(Float64(1.0 - t_0) - t_1))) * Float64(2.0 * R)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = (cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); t_1 = ((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))) ^ 2.0; tmp = atan2(sqrt((t_1 + t_0)), sqrt(((1.0 - t_0) - t_1))) * (2.0 * R); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$1 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$0), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_1 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
\tan^{-1}_* \frac{\sqrt{t\_1 + t\_0}}{\sqrt{\left(1 - t\_0\right) - t\_1}} \cdot \left(2 \cdot R\right)
\end{array}
\end{array}
Initial program 61.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.9%
Applied egg-rr62.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr79.4%
Taylor expanded in lambda1 around -inf
Simplified79.4%
Final simplification79.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_3 (* (* (cos phi1) (cos phi2)) t_2))
(t_4 (* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
(t_5 (pow (- (* (cos (* phi2 0.5)) t_0) t_4) 2.0))
(t_6 (sqrt (- (- 1.0 t_3) t_5)))
(t_7 (* (* 2.0 R) (atan2 (sqrt (+ t_3 (pow (- t_0 t_4) 2.0))) t_6))))
(if (<= t_1 -0.1)
t_7
(if (<= t_1 0.105)
(* (* 2.0 R) (atan2 (sqrt (+ t_5 (* (cos phi2) t_2))) t_6))
t_7))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi1));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_3 = (cos(phi1) * cos(phi2)) * t_2;
double t_4 = cos((0.5 * phi1)) * sin((phi2 * 0.5));
double t_5 = pow(((cos((phi2 * 0.5)) * t_0) - t_4), 2.0);
double t_6 = sqrt(((1.0 - t_3) - t_5));
double t_7 = (2.0 * R) * atan2(sqrt((t_3 + pow((t_0 - t_4), 2.0))), t_6);
double tmp;
if (t_1 <= -0.1) {
tmp = t_7;
} else if (t_1 <= 0.105) {
tmp = (2.0 * R) * atan2(sqrt((t_5 + (cos(phi2) * t_2))), t_6);
} else {
tmp = t_7;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_0 = sin((0.5d0 * phi1))
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0
t_3 = (cos(phi1) * cos(phi2)) * t_2
t_4 = cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0))
t_5 = ((cos((phi2 * 0.5d0)) * t_0) - t_4) ** 2.0d0
t_6 = sqrt(((1.0d0 - t_3) - t_5))
t_7 = (2.0d0 * r) * atan2(sqrt((t_3 + ((t_0 - t_4) ** 2.0d0))), t_6)
if (t_1 <= (-0.1d0)) then
tmp = t_7
else if (t_1 <= 0.105d0) then
tmp = (2.0d0 * r) * atan2(sqrt((t_5 + (cos(phi2) * t_2))), t_6)
else
tmp = t_7
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((0.5 * phi1));
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_3 = (Math.cos(phi1) * Math.cos(phi2)) * t_2;
double t_4 = Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5));
double t_5 = Math.pow(((Math.cos((phi2 * 0.5)) * t_0) - t_4), 2.0);
double t_6 = Math.sqrt(((1.0 - t_3) - t_5));
double t_7 = (2.0 * R) * Math.atan2(Math.sqrt((t_3 + Math.pow((t_0 - t_4), 2.0))), t_6);
double tmp;
if (t_1 <= -0.1) {
tmp = t_7;
} else if (t_1 <= 0.105) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((t_5 + (Math.cos(phi2) * t_2))), t_6);
} else {
tmp = t_7;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((0.5 * phi1)) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) t_3 = (math.cos(phi1) * math.cos(phi2)) * t_2 t_4 = math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)) t_5 = math.pow(((math.cos((phi2 * 0.5)) * t_0) - t_4), 2.0) t_6 = math.sqrt(((1.0 - t_3) - t_5)) t_7 = (2.0 * R) * math.atan2(math.sqrt((t_3 + math.pow((t_0 - t_4), 2.0))), t_6) tmp = 0 if t_1 <= -0.1: tmp = t_7 elif t_1 <= 0.105: tmp = (2.0 * R) * math.atan2(math.sqrt((t_5 + (math.cos(phi2) * t_2))), t_6) else: tmp = t_7 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_3 = Float64(Float64(cos(phi1) * cos(phi2)) * t_2) t_4 = Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5))) t_5 = Float64(Float64(cos(Float64(phi2 * 0.5)) * t_0) - t_4) ^ 2.0 t_6 = sqrt(Float64(Float64(1.0 - t_3) - t_5)) t_7 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_3 + (Float64(t_0 - t_4) ^ 2.0))), t_6)) tmp = 0.0 if (t_1 <= -0.1) tmp = t_7; elseif (t_1 <= 0.105) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_5 + Float64(cos(phi2) * t_2))), t_6)); else tmp = t_7; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * phi1)); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sin((-0.5 * (lambda2 - lambda1))) ^ 2.0; t_3 = (cos(phi1) * cos(phi2)) * t_2; t_4 = cos((0.5 * phi1)) * sin((phi2 * 0.5)); t_5 = ((cos((phi2 * 0.5)) * t_0) - t_4) ^ 2.0; t_6 = sqrt(((1.0 - t_3) - t_5)); t_7 = (2.0 * R) * atan2(sqrt((t_3 + ((t_0 - t_4) ^ 2.0))), t_6); tmp = 0.0; if (t_1 <= -0.1) tmp = t_7; elseif (t_1 <= 0.105) tmp = (2.0 * R) * atan2(sqrt((t_5 + (cos(phi2) * t_2))), t_6); else tmp = t_7; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - t$95$4), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(N[(1.0 - t$95$3), $MachinePrecision] - t$95$5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$7 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$3 + N[Power[N[(t$95$0 - t$95$4), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, -0.1], t$95$7, If[LessEqual[t$95$1, 0.105], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$6], $MachinePrecision]), $MachinePrecision], t$95$7]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_3 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\\
t_4 := \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\\
t_5 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot t\_0 - t\_4\right)}^{2}\\
t_6 := \sqrt{\left(1 - t\_3\right) - t\_5}\\
t_7 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + {\left(t\_0 - t\_4\right)}^{2}}}{t\_6}\\
\mathbf{if}\;t\_1 \leq -0.1:\\
\;\;\;\;t\_7\\
\mathbf{elif}\;t\_1 \leq 0.105:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_5 + \cos \phi_2 \cdot t\_2}}{t\_6}\\
\mathbf{else}:\\
\;\;\;\;t\_7\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.10000000000000001 or 0.104999999999999996 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 57.3%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6458.7%
Applied egg-rr58.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr74.2%
Taylor expanded in lambda1 around -inf
Simplified74.2%
Taylor expanded in phi2 around 0
Simplified59.0%
if -0.10000000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.104999999999999996Initial program 71.5%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6472.4%
Applied egg-rr72.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr91.0%
Taylor expanded in lambda1 around -inf
Simplified91.0%
Taylor expanded in phi1 around 0
Simplified86.7%
Final simplification67.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
2.0))
(t_2
(sqrt
(-
(- 1.0 (* t_0 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))
t_1)))
(t_3
(*
(atan2 (sqrt (+ t_1 (* t_0 (pow (sin (* -0.5 lambda2)) 2.0)))) t_2)
(* 2.0 R))))
(if (<= lambda2 -2.1e-7)
t_3
(if (<= lambda2 1.1e-5)
(*
(atan2 (sqrt (+ t_1 (* t_0 (pow (sin (* 0.5 lambda1)) 2.0)))) t_2)
(* 2.0 R))
t_3))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))), 2.0);
double t_2 = sqrt(((1.0 - (t_0 * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0))) - t_1));
double t_3 = atan2(sqrt((t_1 + (t_0 * pow(sin((-0.5 * lambda2)), 2.0)))), t_2) * (2.0 * R);
double tmp;
if (lambda2 <= -2.1e-7) {
tmp = t_3;
} else if (lambda2 <= 1.1e-5) {
tmp = atan2(sqrt((t_1 + (t_0 * pow(sin((0.5 * lambda1)), 2.0)))), t_2) * (2.0 * R);
} else {
tmp = t_3;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos(phi1) * cos(phi2)
t_1 = ((cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_2 = sqrt(((1.0d0 - (t_0 * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0))) - t_1))
t_3 = atan2(sqrt((t_1 + (t_0 * (sin(((-0.5d0) * lambda2)) ** 2.0d0)))), t_2) * (2.0d0 * r)
if (lambda2 <= (-2.1d-7)) then
tmp = t_3
else if (lambda2 <= 1.1d-5) then
tmp = atan2(sqrt((t_1 + (t_0 * (sin((0.5d0 * lambda1)) ** 2.0d0)))), t_2) * (2.0d0 * r)
else
tmp = t_3
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_2 = Math.sqrt(((1.0 - (t_0 * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0))) - t_1));
double t_3 = Math.atan2(Math.sqrt((t_1 + (t_0 * Math.pow(Math.sin((-0.5 * lambda2)), 2.0)))), t_2) * (2.0 * R);
double tmp;
if (lambda2 <= -2.1e-7) {
tmp = t_3;
} else if (lambda2 <= 1.1e-5) {
tmp = Math.atan2(Math.sqrt((t_1 + (t_0 * Math.pow(Math.sin((0.5 * lambda1)), 2.0)))), t_2) * (2.0 * R);
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)))), 2.0) t_2 = math.sqrt(((1.0 - (t_0 * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0))) - t_1)) t_3 = math.atan2(math.sqrt((t_1 + (t_0 * math.pow(math.sin((-0.5 * lambda2)), 2.0)))), t_2) * (2.0 * R) tmp = 0 if lambda2 <= -2.1e-7: tmp = t_3 elif lambda2 <= 1.1e-5: tmp = math.atan2(math.sqrt((t_1 + (t_0 * math.pow(math.sin((0.5 * lambda1)), 2.0)))), t_2) * (2.0 * R) else: tmp = t_3 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_2 = sqrt(Float64(Float64(1.0 - Float64(t_0 * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0))) - t_1)) t_3 = Float64(atan(sqrt(Float64(t_1 + Float64(t_0 * (sin(Float64(-0.5 * lambda2)) ^ 2.0)))), t_2) * Float64(2.0 * R)) tmp = 0.0 if (lambda2 <= -2.1e-7) tmp = t_3; elseif (lambda2 <= 1.1e-5) tmp = Float64(atan(sqrt(Float64(t_1 + Float64(t_0 * (sin(Float64(0.5 * lambda1)) ^ 2.0)))), t_2) * Float64(2.0 * R)); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = ((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))) ^ 2.0; t_2 = sqrt(((1.0 - (t_0 * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0))) - t_1)); t_3 = atan2(sqrt((t_1 + (t_0 * (sin((-0.5 * lambda2)) ^ 2.0)))), t_2) * (2.0 * R); tmp = 0.0; if (lambda2 <= -2.1e-7) tmp = t_3; elseif (lambda2 <= 1.1e-5) tmp = atan2(sqrt((t_1 + (t_0 * (sin((0.5 * lambda1)) ^ 2.0)))), t_2) * (2.0 * R); else tmp = t_3; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[(1.0 - N[(t$95$0 * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda2, -2.1e-7], t$95$3, If[LessEqual[lambda2, 1.1e-5], N[(N[ArcTan[N[Sqrt[N[(t$95$1 + N[(t$95$0 * N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$2], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_2 := \sqrt{\left(1 - t\_0 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\right) - t\_1}\\
t_3 := \tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}}}{t\_2} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\lambda_2 \leq -2.1 \cdot 10^{-7}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\lambda_2 \leq 1.1 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_1 + t\_0 \cdot {\sin \left(0.5 \cdot \lambda_1\right)}^{2}}}{t\_2} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if lambda2 < -2.1e-7 or 1.1e-5 < lambda2 Initial program 44.1%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6445.6%
Applied egg-rr45.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr61.6%
Taylor expanded in lambda1 around -inf
Simplified61.6%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified61.5%
if -2.1e-7 < lambda2 < 1.1e-5Initial program 79.0%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6479.9%
Applied egg-rr79.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr96.9%
Taylor expanded in lambda1 around -inf
Simplified96.9%
Taylor expanded in lambda2 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified94.7%
Final simplification78.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi2 0.5)))
(t_1 (* (cos (* phi2 0.5)) (sin (* 0.5 phi1))))
(t_2 (pow (- t_1 (* (cos (* 0.5 phi1)) t_0)) 2.0))
(t_3 (* (cos phi1) (cos phi2)))
(t_4 (* t_3 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))
(t_5 (sqrt (- (- 1.0 t_4) t_2)))
(t_6 (* (atan2 (sqrt (+ t_4 (pow (- t_1 t_0) 2.0))) t_5) (* 2.0 R))))
(if (<= lambda1 -3.3e-14)
t_6
(if (<= lambda1 3.6e-6)
(*
(atan2 (sqrt (+ t_2 (* t_3 (pow (sin (* -0.5 lambda2)) 2.0)))) t_5)
(* 2.0 R))
t_6))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 * 0.5));
double t_1 = cos((phi2 * 0.5)) * sin((0.5 * phi1));
double t_2 = pow((t_1 - (cos((0.5 * phi1)) * t_0)), 2.0);
double t_3 = cos(phi1) * cos(phi2);
double t_4 = t_3 * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_5 = sqrt(((1.0 - t_4) - t_2));
double t_6 = atan2(sqrt((t_4 + pow((t_1 - t_0), 2.0))), t_5) * (2.0 * R);
double tmp;
if (lambda1 <= -3.3e-14) {
tmp = t_6;
} else if (lambda1 <= 3.6e-6) {
tmp = atan2(sqrt((t_2 + (t_3 * pow(sin((-0.5 * lambda2)), 2.0)))), t_5) * (2.0 * R);
} else {
tmp = t_6;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_0 = sin((phi2 * 0.5d0))
t_1 = cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))
t_2 = (t_1 - (cos((0.5d0 * phi1)) * t_0)) ** 2.0d0
t_3 = cos(phi1) * cos(phi2)
t_4 = t_3 * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
t_5 = sqrt(((1.0d0 - t_4) - t_2))
t_6 = atan2(sqrt((t_4 + ((t_1 - t_0) ** 2.0d0))), t_5) * (2.0d0 * r)
if (lambda1 <= (-3.3d-14)) then
tmp = t_6
else if (lambda1 <= 3.6d-6) then
tmp = atan2(sqrt((t_2 + (t_3 * (sin(((-0.5d0) * lambda2)) ** 2.0d0)))), t_5) * (2.0d0 * r)
else
tmp = t_6
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((phi2 * 0.5));
double t_1 = Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1));
double t_2 = Math.pow((t_1 - (Math.cos((0.5 * phi1)) * t_0)), 2.0);
double t_3 = Math.cos(phi1) * Math.cos(phi2);
double t_4 = t_3 * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_5 = Math.sqrt(((1.0 - t_4) - t_2));
double t_6 = Math.atan2(Math.sqrt((t_4 + Math.pow((t_1 - t_0), 2.0))), t_5) * (2.0 * R);
double tmp;
if (lambda1 <= -3.3e-14) {
tmp = t_6;
} else if (lambda1 <= 3.6e-6) {
tmp = Math.atan2(Math.sqrt((t_2 + (t_3 * Math.pow(Math.sin((-0.5 * lambda2)), 2.0)))), t_5) * (2.0 * R);
} else {
tmp = t_6;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((phi2 * 0.5)) t_1 = math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1)) t_2 = math.pow((t_1 - (math.cos((0.5 * phi1)) * t_0)), 2.0) t_3 = math.cos(phi1) * math.cos(phi2) t_4 = t_3 * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) t_5 = math.sqrt(((1.0 - t_4) - t_2)) t_6 = math.atan2(math.sqrt((t_4 + math.pow((t_1 - t_0), 2.0))), t_5) * (2.0 * R) tmp = 0 if lambda1 <= -3.3e-14: tmp = t_6 elif lambda1 <= 3.6e-6: tmp = math.atan2(math.sqrt((t_2 + (t_3 * math.pow(math.sin((-0.5 * lambda2)), 2.0)))), t_5) * (2.0 * R) else: tmp = t_6 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 * 0.5)) t_1 = Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) t_2 = Float64(t_1 - Float64(cos(Float64(0.5 * phi1)) * t_0)) ^ 2.0 t_3 = Float64(cos(phi1) * cos(phi2)) t_4 = Float64(t_3 * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) t_5 = sqrt(Float64(Float64(1.0 - t_4) - t_2)) t_6 = Float64(atan(sqrt(Float64(t_4 + (Float64(t_1 - t_0) ^ 2.0))), t_5) * Float64(2.0 * R)) tmp = 0.0 if (lambda1 <= -3.3e-14) tmp = t_6; elseif (lambda1 <= 3.6e-6) tmp = Float64(atan(sqrt(Float64(t_2 + Float64(t_3 * (sin(Float64(-0.5 * lambda2)) ^ 2.0)))), t_5) * Float64(2.0 * R)); else tmp = t_6; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((phi2 * 0.5)); t_1 = cos((phi2 * 0.5)) * sin((0.5 * phi1)); t_2 = (t_1 - (cos((0.5 * phi1)) * t_0)) ^ 2.0; t_3 = cos(phi1) * cos(phi2); t_4 = t_3 * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); t_5 = sqrt(((1.0 - t_4) - t_2)); t_6 = atan2(sqrt((t_4 + ((t_1 - t_0) ^ 2.0))), t_5) * (2.0 * R); tmp = 0.0; if (lambda1 <= -3.3e-14) tmp = t_6; elseif (lambda1 <= 3.6e-6) tmp = atan2(sqrt((t_2 + (t_3 * (sin((-0.5 * lambda2)) ^ 2.0)))), t_5) * (2.0 * R); else tmp = t_6; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(t$95$1 - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(N[(1.0 - t$95$4), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[ArcTan[N[Sqrt[N[(t$95$4 + N[Power[N[(t$95$1 - t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -3.3e-14], t$95$6, If[LessEqual[lambda1, 3.6e-6], N[(N[ArcTan[N[Sqrt[N[(t$95$2 + N[(t$95$3 * N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$5], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$6]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_2 \cdot 0.5\right)\\
t_1 := \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
t_2 := {\left(t\_1 - \cos \left(0.5 \cdot \phi_1\right) \cdot t\_0\right)}^{2}\\
t_3 := \cos \phi_1 \cdot \cos \phi_2\\
t_4 := t\_3 \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_5 := \sqrt{\left(1 - t\_4\right) - t\_2}\\
t_6 := \tan^{-1}_* \frac{\sqrt{t\_4 + {\left(t\_1 - t\_0\right)}^{2}}}{t\_5} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\lambda_1 \leq -3.3 \cdot 10^{-14}:\\
\;\;\;\;t\_6\\
\mathbf{elif}\;\lambda_1 \leq 3.6 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_2 + t\_3 \cdot {\sin \left(-0.5 \cdot \lambda_2\right)}^{2}}}{t\_5} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_6\\
\end{array}
\end{array}
if lambda1 < -3.2999999999999998e-14 or 3.59999999999999984e-6 < lambda1 Initial program 51.5%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6452.4%
Applied egg-rr52.4%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr61.8%
Taylor expanded in lambda1 around -inf
Simplified61.7%
Taylor expanded in phi1 around 0
Simplified53.0%
if -3.2999999999999998e-14 < lambda1 < 3.59999999999999984e-6Initial program 72.1%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6473.6%
Applied egg-rr73.6%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr97.3%
Taylor expanded in lambda1 around -inf
Simplified97.3%
Taylor expanded in lambda1 around 0
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
Simplified95.1%
Final simplification73.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_1 (* (cos phi1) (cos phi2)))
(t_2
(pow
(-
(* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))
(* (cos (* 0.5 phi1)) (sin (* phi2 0.5))))
2.0))
(t_3 (pow (sin (* -0.5 (- lambda2 lambda1))) 2.0))
(t_4
(*
(atan2
(sqrt (+ t_2 (* t_1 t_3)))
(sqrt (- (- 1.0 (* (cos phi2) t_3)) t_2)))
(* 2.0 R))))
(if (<= phi2 -1.9e-6)
t_4
(if (<= phi2 0.000106)
(*
(atan2
(sqrt (+ (* t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)) t_0))
(sqrt
(-
1.0
(+
t_0
(*
t_1
(pow
(-
(* (sin (/ lambda1 2.0)) (cos (/ lambda2 2.0)))
(* (cos (/ lambda1 2.0)) (sin (/ lambda2 2.0))))
2.0))))))
(* 2.0 R))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = cos(phi1) * cos(phi2);
double t_2 = pow(((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))), 2.0);
double t_3 = pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_4 = atan2(sqrt((t_2 + (t_1 * t_3))), sqrt(((1.0 - (cos(phi2) * t_3)) - t_2))) * (2.0 * R);
double tmp;
if (phi2 <= -1.9e-6) {
tmp = t_4;
} else if (phi2 <= 0.000106) {
tmp = atan2(sqrt(((t_1 * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_0)), sqrt((1.0 - (t_0 + (t_1 * pow(((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))), 2.0)))))) * (2.0 * R);
} else {
tmp = t_4;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = sin((0.5d0 * (phi1 - phi2))) ** 2.0d0
t_1 = cos(phi1) * cos(phi2)
t_2 = ((cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))) - (cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0)))) ** 2.0d0
t_3 = sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0
t_4 = atan2(sqrt((t_2 + (t_1 * t_3))), sqrt(((1.0d0 - (cos(phi2) * t_3)) - t_2))) * (2.0d0 * r)
if (phi2 <= (-1.9d-6)) then
tmp = t_4
else if (phi2 <= 0.000106d0) then
tmp = atan2(sqrt(((t_1 * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + t_0)), sqrt((1.0d0 - (t_0 + (t_1 * (((sin((lambda1 / 2.0d0)) * cos((lambda2 / 2.0d0))) - (cos((lambda1 / 2.0d0)) * sin((lambda2 / 2.0d0)))) ** 2.0d0)))))) * (2.0d0 * r)
else
tmp = t_4
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = Math.pow(((Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1))) - (Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5)))), 2.0);
double t_3 = Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_4 = Math.atan2(Math.sqrt((t_2 + (t_1 * t_3))), Math.sqrt(((1.0 - (Math.cos(phi2) * t_3)) - t_2))) * (2.0 * R);
double tmp;
if (phi2 <= -1.9e-6) {
tmp = t_4;
} else if (phi2 <= 0.000106) {
tmp = Math.atan2(Math.sqrt(((t_1 * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_0)), Math.sqrt((1.0 - (t_0 + (t_1 * Math.pow(((Math.sin((lambda1 / 2.0)) * Math.cos((lambda2 / 2.0))) - (Math.cos((lambda1 / 2.0)) * Math.sin((lambda2 / 2.0)))), 2.0)))))) * (2.0 * R);
} else {
tmp = t_4;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = math.pow(((math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1))) - (math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)))), 2.0) t_3 = math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) t_4 = math.atan2(math.sqrt((t_2 + (t_1 * t_3))), math.sqrt(((1.0 - (math.cos(phi2) * t_3)) - t_2))) * (2.0 * R) tmp = 0 if phi2 <= -1.9e-6: tmp = t_4 elif phi2 <= 0.000106: tmp = math.atan2(math.sqrt(((t_1 * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + t_0)), math.sqrt((1.0 - (t_0 + (t_1 * math.pow(((math.sin((lambda1 / 2.0)) * math.cos((lambda2 / 2.0))) - (math.cos((lambda1 / 2.0)) * math.sin((lambda2 / 2.0)))), 2.0)))))) * (2.0 * R) else: tmp = t_4 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) - Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5)))) ^ 2.0 t_3 = sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0 t_4 = Float64(atan(sqrt(Float64(t_2 + Float64(t_1 * t_3))), sqrt(Float64(Float64(1.0 - Float64(cos(phi2) * t_3)) - t_2))) * Float64(2.0 * R)) tmp = 0.0 if (phi2 <= -1.9e-6) tmp = t_4; elseif (phi2 <= 0.000106) tmp = Float64(atan(sqrt(Float64(Float64(t_1 * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + t_0)), sqrt(Float64(1.0 - Float64(t_0 + Float64(t_1 * (Float64(Float64(sin(Float64(lambda1 / 2.0)) * cos(Float64(lambda2 / 2.0))) - Float64(cos(Float64(lambda1 / 2.0)) * sin(Float64(lambda2 / 2.0)))) ^ 2.0)))))) * Float64(2.0 * R)); else tmp = t_4; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (phi1 - phi2))) ^ 2.0; t_1 = cos(phi1) * cos(phi2); t_2 = ((cos((phi2 * 0.5)) * sin((0.5 * phi1))) - (cos((0.5 * phi1)) * sin((phi2 * 0.5)))) ^ 2.0; t_3 = sin((-0.5 * (lambda2 - lambda1))) ^ 2.0; t_4 = atan2(sqrt((t_2 + (t_1 * t_3))), sqrt(((1.0 - (cos(phi2) * t_3)) - t_2))) * (2.0 * R); tmp = 0.0; if (phi2 <= -1.9e-6) tmp = t_4; elseif (phi2 <= 0.000106) tmp = atan2(sqrt(((t_1 * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + t_0)), sqrt((1.0 - (t_0 + (t_1 * (((sin((lambda1 / 2.0)) * cos((lambda2 / 2.0))) - (cos((lambda1 / 2.0)) * sin((lambda2 / 2.0)))) ^ 2.0)))))) * (2.0 * R); else tmp = t_4; end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[ArcTan[N[Sqrt[N[(t$95$2 + N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.9e-6], t$95$4, If[LessEqual[phi2, 0.000106], N[(N[ArcTan[N[Sqrt[N[(N[(t$95$1 * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$0 + N[(t$95$1 * N[Power[N[(N[(N[Sin[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(lambda1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(lambda2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right) - \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\right)}^{2}\\
t_3 := {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_4 := \tan^{-1}_* \frac{\sqrt{t\_2 + t\_1 \cdot t\_3}}{\sqrt{\left(1 - \cos \phi_2 \cdot t\_3\right) - t\_2}} \cdot \left(2 \cdot R\right)\\
\mathbf{if}\;\phi_2 \leq -1.9 \cdot 10^{-6}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_2 \leq 0.000106:\\
\;\;\;\;\tan^{-1}_* \frac{\sqrt{t\_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + t\_0}}{\sqrt{1 - \left(t\_0 + t\_1 \cdot {\left(\sin \left(\frac{\lambda_1}{2}\right) \cdot \cos \left(\frac{\lambda_2}{2}\right) - \cos \left(\frac{\lambda_1}{2}\right) \cdot \sin \left(\frac{\lambda_2}{2}\right)\right)}^{2}\right)}} \cdot \left(2 \cdot R\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi2 < -1.9e-6 or 1.06e-4 < phi2 Initial program 42.2%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6444.7%
Applied egg-rr44.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr78.1%
Taylor expanded in lambda1 around -inf
Simplified78.2%
Taylor expanded in phi1 around 0
Simplified54.2%
if -1.9e-6 < phi2 < 1.06e-4Initial program 80.6%
Taylor expanded in R around 0
Simplified80.5%
*-commutativeN/A
metadata-evalN/A
div-invN/A
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6481.0%
Applied egg-rr81.0%
Final simplification67.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* phi2 0.5)))
(t_1
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))
(t_2 (* (cos (* phi2 0.5)) (sin (* 0.5 phi1)))))
(*
(atan2
(sqrt (+ t_1 (pow (- t_2 t_0) 2.0)))
(sqrt (- (- 1.0 t_1) (pow (- t_2 (* (cos (* 0.5 phi1)) t_0)) 2.0))))
(* 2.0 R))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 * 0.5));
double t_1 = (cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_2 = cos((phi2 * 0.5)) * sin((0.5 * phi1));
return atan2(sqrt((t_1 + pow((t_2 - t_0), 2.0))), sqrt(((1.0 - t_1) - pow((t_2 - (cos((0.5 * phi1)) * t_0)), 2.0)))) * (2.0 * R);
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin((phi2 * 0.5d0))
t_1 = (cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
t_2 = cos((phi2 * 0.5d0)) * sin((0.5d0 * phi1))
code = atan2(sqrt((t_1 + ((t_2 - t_0) ** 2.0d0))), sqrt(((1.0d0 - t_1) - ((t_2 - (cos((0.5d0 * phi1)) * t_0)) ** 2.0d0)))) * (2.0d0 * r)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((phi2 * 0.5));
double t_1 = (Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_2 = Math.cos((phi2 * 0.5)) * Math.sin((0.5 * phi1));
return Math.atan2(Math.sqrt((t_1 + Math.pow((t_2 - t_0), 2.0))), Math.sqrt(((1.0 - t_1) - Math.pow((t_2 - (Math.cos((0.5 * phi1)) * t_0)), 2.0)))) * (2.0 * R);
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((phi2 * 0.5)) t_1 = (math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) t_2 = math.cos((phi2 * 0.5)) * math.sin((0.5 * phi1)) return math.atan2(math.sqrt((t_1 + math.pow((t_2 - t_0), 2.0))), math.sqrt(((1.0 - t_1) - math.pow((t_2 - (math.cos((0.5 * phi1)) * t_0)), 2.0)))) * (2.0 * R)
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 * 0.5)) t_1 = Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) t_2 = Float64(cos(Float64(phi2 * 0.5)) * sin(Float64(0.5 * phi1))) return Float64(atan(sqrt(Float64(t_1 + (Float64(t_2 - t_0) ^ 2.0))), sqrt(Float64(Float64(1.0 - t_1) - (Float64(t_2 - Float64(cos(Float64(0.5 * phi1)) * t_0)) ^ 2.0)))) * Float64(2.0 * R)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((phi2 * 0.5)); t_1 = (cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); t_2 = cos((phi2 * 0.5)) * sin((0.5 * phi1)); tmp = atan2(sqrt((t_1 + ((t_2 - t_0) ^ 2.0))), sqrt(((1.0 - t_1) - ((t_2 - (cos((0.5 * phi1)) * t_0)) ^ 2.0)))) * (2.0 * R); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[ArcTan[N[Sqrt[N[(t$95$1 + N[Power[N[(t$95$2 - t$95$0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] - N[Power[N[(t$95$2 - N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(2.0 * R), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\phi_2 \cdot 0.5\right)\\
t_1 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_2 := \cos \left(\phi_2 \cdot 0.5\right) \cdot \sin \left(0.5 \cdot \phi_1\right)\\
\tan^{-1}_* \frac{\sqrt{t\_1 + {\left(t\_2 - t\_0\right)}^{2}}}{\sqrt{\left(1 - t\_1\right) - {\left(t\_2 - \cos \left(0.5 \cdot \phi_1\right) \cdot t\_0\right)}^{2}}} \cdot \left(2 \cdot R\right)
\end{array}
\end{array}
Initial program 61.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.9%
Applied egg-rr62.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr79.4%
Taylor expanded in lambda1 around -inf
Simplified79.4%
Taylor expanded in phi1 around 0
Simplified63.4%
Final simplification63.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 phi1)))
(t_1
(*
(* (cos phi1) (cos phi2))
(pow (sin (* -0.5 (- lambda2 lambda1))) 2.0)))
(t_2 (* (cos (* 0.5 phi1)) (sin (* phi2 0.5)))))
(*
(* 2.0 R)
(atan2
(sqrt (+ t_1 (pow (- t_0 t_2) 2.0)))
(sqrt (- (- 1.0 t_1) (pow (- (* (cos (* phi2 0.5)) t_0) t_2) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * phi1));
double t_1 = (cos(phi1) * cos(phi2)) * pow(sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_2 = cos((0.5 * phi1)) * sin((phi2 * 0.5));
return (2.0 * R) * atan2(sqrt((t_1 + pow((t_0 - t_2), 2.0))), sqrt(((1.0 - t_1) - pow(((cos((phi2 * 0.5)) * t_0) - t_2), 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin((0.5d0 * phi1))
t_1 = (cos(phi1) * cos(phi2)) * (sin(((-0.5d0) * (lambda2 - lambda1))) ** 2.0d0)
t_2 = cos((0.5d0 * phi1)) * sin((phi2 * 0.5d0))
code = (2.0d0 * r) * atan2(sqrt((t_1 + ((t_0 - t_2) ** 2.0d0))), sqrt(((1.0d0 - t_1) - (((cos((phi2 * 0.5d0)) * t_0) - t_2) ** 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((0.5 * phi1));
double t_1 = (Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((-0.5 * (lambda2 - lambda1))), 2.0);
double t_2 = Math.cos((0.5 * phi1)) * Math.sin((phi2 * 0.5));
return (2.0 * R) * Math.atan2(Math.sqrt((t_1 + Math.pow((t_0 - t_2), 2.0))), Math.sqrt(((1.0 - t_1) - Math.pow(((Math.cos((phi2 * 0.5)) * t_0) - t_2), 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin((0.5 * phi1)) t_1 = (math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((-0.5 * (lambda2 - lambda1))), 2.0) t_2 = math.cos((0.5 * phi1)) * math.sin((phi2 * 0.5)) return (2.0 * R) * math.atan2(math.sqrt((t_1 + math.pow((t_0 - t_2), 2.0))), math.sqrt(((1.0 - t_1) - math.pow(((math.cos((phi2 * 0.5)) * t_0) - t_2), 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) t_1 = Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(-0.5 * Float64(lambda2 - lambda1))) ^ 2.0)) t_2 = Float64(cos(Float64(0.5 * phi1)) * sin(Float64(phi2 * 0.5))) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(t_1 + (Float64(t_0 - t_2) ^ 2.0))), sqrt(Float64(Float64(1.0 - t_1) - (Float64(Float64(cos(Float64(phi2 * 0.5)) * t_0) - t_2) ^ 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * phi1)); t_1 = (cos(phi1) * cos(phi2)) * (sin((-0.5 * (lambda2 - lambda1))) ^ 2.0); t_2 = cos((0.5 * phi1)) * sin((phi2 * 0.5)); tmp = (2.0 * R) * atan2(sqrt((t_1 + ((t_0 - t_2) ^ 2.0))), sqrt(((1.0 - t_1) - (((cos((phi2 * 0.5)) * t_0) - t_2) ^ 2.0)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(-0.5 * N[(lambda2 - lambda1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 + N[Power[N[(t$95$0 - t$95$2), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] - N[Power[N[(N[(N[Cos[N[(phi2 * 0.5), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] - t$95$2), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \phi_1\right)\\
t_1 := \left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(-0.5 \cdot \left(\lambda_2 - \lambda_1\right)\right)}^{2}\\
t_2 := \cos \left(0.5 \cdot \phi_1\right) \cdot \sin \left(\phi_2 \cdot 0.5\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + {\left(t\_0 - t\_2\right)}^{2}}}{\sqrt{\left(1 - t\_1\right) - {\left(\cos \left(\phi_2 \cdot 0.5\right) \cdot t\_0 - t\_2\right)}^{2}}}
\end{array}
\end{array}
Initial program 61.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.9%
Applied egg-rr62.9%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
Applied egg-rr79.4%
Taylor expanded in lambda1 around -inf
Simplified79.4%
Taylor expanded in phi2 around 0
Simplified63.2%
Final simplification63.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* t_0 (* (* (cos phi1) (cos phi2)) t_0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_1))
(sqrt
(-
1.0
(+
t_1
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0);
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), sqrt((1.0 - (t_1 + pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0)
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + t_1)), sqrt((1.0d0 - (t_1 + (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), Math.sqrt((1.0 - (t_1 + Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), math.sqrt((1.0 - (t_1 + math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64(t_1 + (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = t_0 * ((cos(phi1) * cos(phi2)) * t_0); tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt((1.0 - (t_1 + (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0)))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1}}{\sqrt{1 - \left(t\_1 + {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 61.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.9%
Applied egg-rr62.9%
Final simplification62.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sqrt
(+
(* (* (cos phi1) (cos phi2)) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)))
(sqrt
(-
1.0
(+
(* (cos phi1) (* (cos phi2) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))
(+ 0.5 (* -0.5 (cos (- phi1 phi2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0))), sqrt((1.0 - ((cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))) + (0.5 + (-0.5 * cos((phi1 - phi2))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + (((sin((phi1 / 2.0d0)) * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0))), sqrt((1.0d0 - ((cos(phi1) * (cos(phi2) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2)))))) + (0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sqrt((((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + Math.pow(((Math.sin((phi1 / 2.0)) * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0))), Math.sqrt((1.0 - ((Math.cos(phi1) * (Math.cos(phi2) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2)))))) + (0.5 + (-0.5 * Math.cos((phi1 - phi2))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sqrt((((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + math.pow(((math.sin((phi1 / 2.0)) * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0))), math.sqrt((1.0 - ((math.cos(phi1) * (math.cos(phi2) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2)))))) + (0.5 + (-0.5 * math.cos((phi1 - phi2))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + (Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0))), sqrt(Float64(1.0 - Float64(Float64(cos(phi1) * Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2)))))) + Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + (((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0))), sqrt((1.0 - ((cos(phi1) * (cos(phi2) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))) + (0.5 + (-0.5 * cos((phi1 - phi2)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2}}}{\sqrt{1 - \left(\cos \phi_1 \cdot \left(\cos \phi_2 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right) + \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)\right)}}
\end{array}
Initial program 61.7%
Taylor expanded in R around 0
Simplified61.7%
*-commutativeN/A
metadata-evalN/A
div-invN/A
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
div-invN/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64N/A
Applied egg-rr62.6%
Applied egg-rr62.7%
Final simplification62.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (cos phi1) (cos phi2)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (* t_0 (* t_1 t_0))))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 t_2))))
(/ (* t_1 (+ (cos (- lambda1 lambda2)) -1.0)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = cos(phi1) * cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_1 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0)))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = cos(phi1) * cos(phi2)
t_2 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_2) ** 2.0d0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_2)))) + ((t_1 * (cos((lambda1 - lambda2)) + (-1.0d0))) / 2.0d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.cos(phi1) * Math.cos(phi2);
double t_2 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_2)))) + ((t_1 * (Math.cos((lambda1 - lambda2)) + -1.0)) / 2.0)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.cos(phi1) * math.cos(phi2) t_2 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + (t_0 * (t_1 * t_0)))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_2)))) + ((t_1 * (math.cos((lambda1 - lambda2)) + -1.0)) / 2.0)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(cos(phi1) * cos(phi2)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_0 * Float64(t_1 * t_0)))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(Float64(t_1 * Float64(cos(Float64(lambda1 - lambda2)) + -1.0)) / 2.0)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = cos(phi1) * cos(phi2); t_2 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_2) ^ 2.0) + (t_0 * (t_1 * t_0)))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_1 * (cos((lambda1 - lambda2)) + -1.0)) / 2.0))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$1 * N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \cos \phi_1 \cdot \cos \phi_2\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_0 \cdot \left(t\_1 \cdot t\_0\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + \frac{t\_1 \cdot \left(\cos \left(\lambda_1 - \lambda_2\right) + -1\right)}{2}}}\right)
\end{array}
\end{array}
Initial program 61.7%
Applied egg-rr61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* t_0 (* (* (cos phi1) (cos phi2)) t_0))))
(sqrt
(-
(- 1.0 (+ 0.5 (* -0.5 (cos (- phi1 phi2)))))
(*
(cos phi2)
(* (cos phi1) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))), sqrt(((1.0 - (0.5 + (-0.5 * cos((phi1 - phi2))))) - (cos(phi2) * (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))), sqrt(((1.0d0 - (0.5d0 + ((-0.5d0) * cos((phi1 - phi2))))) - (cos(phi2) * (cos(phi1) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * ((Math.cos(phi1) * Math.cos(phi2)) * t_0)))), Math.sqrt(((1.0 - (0.5 + (-0.5 * Math.cos((phi1 - phi2))))) - (Math.cos(phi2) * (Math.cos(phi1) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * ((math.cos(phi1) * math.cos(phi2)) * t_0)))), math.sqrt(((1.0 - (0.5 + (-0.5 * math.cos((phi1 - phi2))))) - (math.cos(phi2) * (math.cos(phi1) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * Float64(Float64(cos(phi1) * cos(phi2)) * t_0)))), sqrt(Float64(Float64(1.0 - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2))))) - Float64(cos(phi2) * Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); tmp = R * (2.0 * atan2(sqrt(((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (t_0 * ((cos(phi1) * cos(phi2)) * t_0)))), sqrt(((1.0 - (0.5 + (-0.5 * cos((phi1 - phi2))))) - (cos(phi2) * (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right)}}{\sqrt{\left(1 - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)\right) - \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}}\right)
\end{array}
\end{array}
Initial program 61.7%
div-subN/A
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f6462.9%
Applied egg-rr62.9%
Applied egg-rr61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sqrt
(+
(* (* (cos phi1) (cos phi2)) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt
(-
(-
1.0
(* (cos phi2) (* (cos phi1) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2)))))))
(+ 0.5 (* -0.5 (cos (- phi1 phi2)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt(((1.0 - (cos(phi2) * (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))) - (0.5 + (-0.5 * cos((phi1 - phi2)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))), sqrt(((1.0d0 - (cos(phi2) * (cos(phi1) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))) - (0.5d0 + ((-0.5d0) * cos((phi1 - phi2)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sqrt((((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))), Math.sqrt(((1.0 - (Math.cos(phi2) * (Math.cos(phi1) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))) - (0.5 + (-0.5 * Math.cos((phi1 - phi2)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sqrt((((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))), math.sqrt(((1.0 - (math.cos(phi2) * (math.cos(phi1) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))) - (0.5 + (-0.5 * math.cos((phi1 - phi2)))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(Float64(1.0 - Float64(cos(phi2) * Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))) - Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + (sin((0.5 * (phi1 - phi2))) ^ 2.0))), sqrt(((1.0 - (cos(phi2) * (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))) - (0.5 + (-0.5 * cos((phi1 - phi2))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{\left(1 - \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)\right) - \left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right)}}
\end{array}
Initial program 61.7%
Taylor expanded in R around 0
Simplified61.7%
Applied egg-rr61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sqrt
(+
(* (* (cos phi1) (cos phi2)) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt
(-
1.0
(+
(+ 0.5 (* -0.5 (cos (- phi1 phi2))))
(*
(cos phi2)
(* (cos phi1) (+ 0.5 (* -0.5 (cos (- lambda1 lambda2))))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0)) + pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - ((0.5 + (-0.5 * cos((phi1 - phi2)))) + (cos(phi2) * (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2))))))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)) + (sin((0.5d0 * (phi1 - phi2))) ** 2.0d0))), sqrt((1.0d0 - ((0.5d0 + ((-0.5d0) * cos((phi1 - phi2)))) + (cos(phi2) * (cos(phi1) * (0.5d0 + ((-0.5d0) * cos((lambda1 - lambda2))))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sqrt((((Math.cos(phi1) * Math.cos(phi2)) * Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0))), Math.sqrt((1.0 - ((0.5 + (-0.5 * Math.cos((phi1 - phi2)))) + (Math.cos(phi2) * (Math.cos(phi1) * (0.5 + (-0.5 * Math.cos((lambda1 - lambda2))))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sqrt((((math.cos(phi1) * math.cos(phi2)) * math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)) + math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0))), math.sqrt((1.0 - ((0.5 + (-0.5 * math.cos((phi1 - phi2)))) + (math.cos(phi2) * (math.cos(phi1) * (0.5 + (-0.5 * math.cos((lambda1 - lambda2))))))))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(Float64(cos(phi1) * cos(phi2)) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)) + (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64(Float64(0.5 + Float64(-0.5 * cos(Float64(phi1 - phi2)))) + Float64(cos(phi2) * Float64(cos(phi1) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda1 - lambda2))))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sqrt((((cos(phi1) * cos(phi2)) * (sin((0.5 * (lambda1 - lambda2))) ^ 2.0)) + (sin((0.5 * (phi1 - phi2))) ^ 2.0))), sqrt((1.0 - ((0.5 + (-0.5 * cos((phi1 - phi2)))) + (cos(phi2) * (cos(phi1) * (0.5 + (-0.5 * cos((lambda1 - lambda2)))))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 + N[(-0.5 * N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[phi1], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} + {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{\sqrt{1 - \left(\left(0.5 + -0.5 \cdot \cos \left(\phi_1 - \phi_2\right)\right) + \cos \phi_2 \cdot \left(\cos \phi_1 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)\right)}}
\end{array}
Initial program 61.7%
Taylor expanded in R around 0
Simplified61.7%
Applied egg-rr61.8%
Final simplification61.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (/ (- phi1 phi2) 2.0)))
(*
(* 2.0 R)
(atan2
(sqrt (+ (pow (sin t_2) 2.0) (/ (* t_0 (- 1.0 t_1)) 2.0)))
(sqrt
(+ (+ 0.5 (* 0.5 (cos (* 2.0 t_2)))) (/ (* t_0 (+ t_1 -1.0)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = (phi1 - phi2) / 2.0;
return (2.0 * R) * atan2(sqrt((pow(sin(t_2), 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_0 * (t_1 + -1.0)) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = (phi1 - phi2) / 2.0d0
code = (2.0d0 * r) * atan2(sqrt(((sin(t_2) ** 2.0d0) + ((t_0 * (1.0d0 - t_1)) / 2.0d0))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * t_2)))) + ((t_0 * (t_1 + (-1.0d0))) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = (phi1 - phi2) / 2.0;
return (2.0 * R) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_2), 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * t_2)))) + ((t_0 * (t_1 + -1.0)) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = (phi1 - phi2) / 2.0 return (2.0 * R) * math.atan2(math.sqrt((math.pow(math.sin(t_2), 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * t_2)))) + ((t_0 * (t_1 + -1.0)) / 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(Float64(2.0 * R) * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(Float64(t_0 * Float64(1.0 - t_1)) / 2.0))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(Float64(t_0 * Float64(t_1 + -1.0)) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = (phi1 - phi2) / 2.0; tmp = (2.0 * R) * atan2(sqrt(((sin(t_2) ^ 2.0) + ((t_0 * (1.0 - t_1)) / 2.0))), sqrt(((0.5 + (0.5 * cos((2.0 * t_2)))) + ((t_0 * (t_1 + -1.0)) / 2.0)))); 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[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$0 * N[(t$95$1 + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \cos \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + \frac{t\_0 \cdot \left(1 - t\_1\right)}{2}}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + \frac{t\_0 \cdot \left(t\_1 + -1\right)}{2}}}
\end{array}
\end{array}
Initial program 61.7%
Applied egg-rr57.3%
sqr-sin-aN/A
unpow2N/A
pow-lowering-pow.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
--lowering--.f6458.9%
Applied egg-rr58.9%
Final simplification58.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (cos phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (cos (- phi1 phi2))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (- (* 0.5 (* t_0 (- 1.0 t_1))) (* 0.5 t_2))))
(sqrt (+ 0.5 (* 0.5 (+ t_2 (* t_0 (+ t_1 -1.0))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * cos(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = cos((phi1 - phi2));
return (2.0 * R) * atan2(sqrt((0.5 + ((0.5 * (t_0 * (1.0 - t_1))) - (0.5 * t_2)))), sqrt((0.5 + (0.5 * (t_2 + (t_0 * (t_1 + -1.0)))))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
t_0 = cos(phi1) * cos(phi2)
t_1 = cos((lambda1 - lambda2))
t_2 = cos((phi1 - phi2))
code = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((0.5d0 * (t_0 * (1.0d0 - t_1))) - (0.5d0 * t_2)))), sqrt((0.5d0 + (0.5d0 * (t_2 + (t_0 * (t_1 + (-1.0d0))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.cos(phi2);
double t_1 = Math.cos((lambda1 - lambda2));
double t_2 = Math.cos((phi1 - phi2));
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((0.5 * (t_0 * (1.0 - t_1))) - (0.5 * t_2)))), Math.sqrt((0.5 + (0.5 * (t_2 + (t_0 * (t_1 + -1.0)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.cos(phi2) t_1 = math.cos((lambda1 - lambda2)) t_2 = math.cos((phi1 - phi2)) return (2.0 * R) * math.atan2(math.sqrt((0.5 + ((0.5 * (t_0 * (1.0 - t_1))) - (0.5 * t_2)))), math.sqrt((0.5 + (0.5 * (t_2 + (t_0 * (t_1 + -1.0)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * cos(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = cos(Float64(phi1 - phi2)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(0.5 * Float64(t_0 * Float64(1.0 - t_1))) - Float64(0.5 * t_2)))), sqrt(Float64(0.5 + Float64(0.5 * Float64(t_2 + Float64(t_0 * Float64(t_1 + -1.0)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * cos(phi2); t_1 = cos((lambda1 - lambda2)); t_2 = cos((phi1 - phi2)); tmp = (2.0 * R) * atan2(sqrt((0.5 + ((0.5 * (t_0 * (1.0 - t_1))) - (0.5 * t_2)))), sqrt((0.5 + (0.5 * (t_2 + (t_0 * (t_1 + -1.0))))))); 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[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(phi1 - phi2), $MachinePrecision]], $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(0.5 * N[(t$95$0 * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(0.5 + N[(0.5 * N[(t$95$2 + N[(t$95$0 * N[(t$95$1 + -1.0), $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 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \left(\phi_1 - \phi_2\right)\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(0.5 \cdot \left(t\_0 \cdot \left(1 - t\_1\right)\right) - 0.5 \cdot t\_2\right)}}{\sqrt{0.5 + 0.5 \cdot \left(t\_2 + t\_0 \cdot \left(t\_1 + -1\right)\right)}}
\end{array}
\end{array}
Initial program 61.7%
Applied egg-rr57.3%
Taylor expanded in phi1 around 0
atan2-lowering-atan2.f64N/A
Simplified57.3%
Final simplification57.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ t_0 -1.0)) 2.0))))
(t_2 (- 1.0 t_0))
(t_3 (* 0.5 (cos phi2)))
(t_4 (* 0.5 (cos phi1)))
(t_5 (* (* 2.0 R) (atan2 (sqrt (+ 0.5 (- (* t_2 t_4) t_4))) t_1))))
(if (<= phi1 -5e-6)
t_5
(if (<= phi1 0.106)
(* (* 2.0 R) (atan2 (sqrt (+ 0.5 (- (* t_2 t_3) t_3))) t_1))
t_5))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (t_0 + -1.0)) / 2.0)));
double t_2 = 1.0 - t_0;
double t_3 = 0.5 * cos(phi2);
double t_4 = 0.5 * cos(phi1);
double t_5 = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1);
double tmp;
if (phi1 <= -5e-6) {
tmp = t_5;
} else if (phi1 <= 0.106) {
tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1);
} else {
tmp = t_5;
}
return tmp;
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * (t_0 + (-1.0d0))) / 2.0d0)))
t_2 = 1.0d0 - t_0
t_3 = 0.5d0 * cos(phi2)
t_4 = 0.5d0 * cos(phi1)
t_5 = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_2 * t_4) - t_4))), t_1)
if (phi1 <= (-5d-6)) then
tmp = t_5
else if (phi1 <= 0.106d0) then
tmp = (2.0d0 * r) * atan2(sqrt((0.5d0 + ((t_2 * t_3) - t_3))), t_1)
else
tmp = t_5
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (t_0 + -1.0)) / 2.0)));
double t_2 = 1.0 - t_0;
double t_3 = 0.5 * Math.cos(phi2);
double t_4 = 0.5 * Math.cos(phi1);
double t_5 = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1);
double tmp;
if (phi1 <= -5e-6) {
tmp = t_5;
} else if (phi1 <= 0.106) {
tmp = (2.0 * R) * Math.atan2(Math.sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1);
} else {
tmp = t_5;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (t_0 + -1.0)) / 2.0))) t_2 = 1.0 - t_0 t_3 = 0.5 * math.cos(phi2) t_4 = 0.5 * math.cos(phi1) t_5 = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1) tmp = 0 if phi1 <= -5e-6: tmp = t_5 elif phi1 <= 0.106: tmp = (2.0 * R) * math.atan2(math.sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1) else: tmp = t_5 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(t_0 + -1.0)) / 2.0))) t_2 = Float64(1.0 - t_0) t_3 = Float64(0.5 * cos(phi2)) t_4 = Float64(0.5 * cos(phi1)) t_5 = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_2 * t_4) - t_4))), t_1)) tmp = 0.0 if (phi1 <= -5e-6) tmp = t_5; elseif (phi1 <= 0.106) tmp = Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(t_2 * t_3) - t_3))), t_1)); else tmp = t_5; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (t_0 + -1.0)) / 2.0))); t_2 = 1.0 - t_0; t_3 = 0.5 * cos(phi2); t_4 = 0.5 * cos(phi1); t_5 = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_4) - t_4))), t_1); tmp = 0.0; if (phi1 <= -5e-6) tmp = t_5; elseif (phi1 <= 0.106) tmp = (2.0 * R) * atan2(sqrt((0.5 + ((t_2 * t_3) - t_3))), t_1); else tmp = t_5; end tmp_2 = 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[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$2 * t$95$4), $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -5e-6], t$95$5, If[LessEqual[phi1, 0.106], N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(t$95$2 * t$95$3), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision], t$95$5]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(t\_0 + -1\right)}{2}}\\
t_2 := 1 - t\_0\\
t_3 := 0.5 \cdot \cos \phi_2\\
t_4 := 0.5 \cdot \cos \phi_1\\
t_5 := \left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 \cdot t\_4 - t\_4\right)}}{t\_1}\\
\mathbf{if}\;\phi_1 \leq -5 \cdot 10^{-6}:\\
\;\;\;\;t\_5\\
\mathbf{elif}\;\phi_1 \leq 0.106:\\
\;\;\;\;\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(t\_2 \cdot t\_3 - t\_3\right)}}{t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_5\\
\end{array}
\end{array}
if phi1 < -5.00000000000000041e-6 or 0.105999999999999997 < phi1 Initial program 52.4%
Applied egg-rr52.5%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6453.3%
Simplified53.3%
if -5.00000000000000041e-6 < phi1 < 0.105999999999999997Initial program 72.2%
Applied egg-rr62.7%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
cos-negN/A
*-lowering-*.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-negN/A
Simplified62.7%
Final simplification57.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (* 0.5 (cos phi1))))
(*
(* 2.0 R)
(atan2
(sqrt (+ 0.5 (- (* (- 1.0 t_0) t_1) t_1)))
(sqrt
(+
(+ 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/ (* (* (cos phi1) (cos phi2)) (+ t_0 -1.0)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = 0.5 * cos(phi1);
return (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (t_0 + -1.0)) / 2.0))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = cos((lambda1 - lambda2))
t_1 = 0.5d0 * cos(phi1)
code = (2.0d0 * r) * atan2(sqrt((0.5d0 + (((1.0d0 - t_0) * t_1) - t_1))), sqrt(((0.5d0 + (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * (t_0 + (-1.0d0))) / 2.0d0))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = 0.5 * Math.cos(phi1);
return (2.0 * R) * Math.atan2(Math.sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), Math.sqrt(((0.5 + (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (t_0 + -1.0)) / 2.0))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = 0.5 * math.cos(phi1) return (2.0 * R) * math.atan2(math.sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), math.sqrt(((0.5 + (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (t_0 + -1.0)) / 2.0))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(0.5 * cos(phi1)) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(0.5 + Float64(Float64(Float64(1.0 - t_0) * t_1) - t_1))), sqrt(Float64(Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(t_0 + -1.0)) / 2.0))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = 0.5 * cos(phi1); tmp = (2.0 * R) * atan2(sqrt((0.5 + (((1.0 - t_0) * t_1) - t_1))), sqrt(((0.5 + (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (t_0 + -1.0)) / 2.0)))); 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[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(0.5 + N[(N[(N[(1.0 - t$95$0), $MachinePrecision] * t$95$1), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + -1.0), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := 0.5 \cdot \cos \phi_1\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{0.5 + \left(\left(1 - t\_0\right) \cdot t\_1 - t\_1\right)}}{\sqrt{\left(0.5 + 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \left(t\_0 + -1\right)}{2}}}
\end{array}
\end{array}
Initial program 61.7%
Applied egg-rr57.3%
Taylor expanded in phi2 around 0
sqrt-lowering-sqrt.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6445.0%
Simplified45.0%
Final simplification45.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sqrt
(+
(- 0.5 (* 0.5 (cos (* 2.0 (/ (- phi1 phi2) 2.0)))))
(/
(*
(* (cos phi1) (cos phi2))
(/
1.0
(/
(+ 1.0 (cos (- lambda1 lambda2)))
(- 1.0 (+ 0.5 (* 0.5 (cos (* 2.0 (- lambda1 lambda2)))))))))
2.0)))
(sqrt (* (* -0.08333333333333333 (* phi2 (* phi2 phi2))) (sin phi1))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (1.0 / ((1.0 + cos((lambda1 - lambda2))) / (1.0 - (0.5 + (0.5 * cos((2.0 * (lambda1 - lambda2))))))))) / 2.0))), sqrt(((-0.08333333333333333 * (phi2 * (phi2 * phi2))) * sin(phi1))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sqrt(((0.5d0 - (0.5d0 * cos((2.0d0 * ((phi1 - phi2) / 2.0d0))))) + (((cos(phi1) * cos(phi2)) * (1.0d0 / ((1.0d0 + cos((lambda1 - lambda2))) / (1.0d0 - (0.5d0 + (0.5d0 * cos((2.0d0 * (lambda1 - lambda2))))))))) / 2.0d0))), sqrt((((-0.08333333333333333d0) * (phi2 * (phi2 * phi2))) * sin(phi1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sqrt(((0.5 - (0.5 * Math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((Math.cos(phi1) * Math.cos(phi2)) * (1.0 / ((1.0 + Math.cos((lambda1 - lambda2))) / (1.0 - (0.5 + (0.5 * Math.cos((2.0 * (lambda1 - lambda2))))))))) / 2.0))), Math.sqrt(((-0.08333333333333333 * (phi2 * (phi2 * phi2))) * Math.sin(phi1))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sqrt(((0.5 - (0.5 * math.cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((math.cos(phi1) * math.cos(phi2)) * (1.0 / ((1.0 + math.cos((lambda1 - lambda2))) / (1.0 - (0.5 + (0.5 * math.cos((2.0 * (lambda1 - lambda2))))))))) / 2.0))), math.sqrt(((-0.08333333333333333 * (phi2 * (phi2 * phi2))) * math.sin(phi1))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(Float64(phi1 - phi2) / 2.0))))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * Float64(1.0 / Float64(Float64(1.0 + cos(Float64(lambda1 - lambda2))) / Float64(1.0 - Float64(0.5 + Float64(0.5 * cos(Float64(2.0 * Float64(lambda1 - lambda2))))))))) / 2.0))), sqrt(Float64(Float64(-0.08333333333333333 * Float64(phi2 * Float64(phi2 * phi2))) * sin(phi1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sqrt(((0.5 - (0.5 * cos((2.0 * ((phi1 - phi2) / 2.0))))) + (((cos(phi1) * cos(phi2)) * (1.0 / ((1.0 + cos((lambda1 - lambda2))) / (1.0 - (0.5 + (0.5 * cos((2.0 * (lambda1 - lambda2))))))))) / 2.0))), sqrt(((-0.08333333333333333 * (phi2 * (phi2 * phi2))) * sin(phi1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(N[(1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(0.5 + N[(0.5 * N[Cos[N[(2.0 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(-0.08333333333333333 * N[(phi2 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 - 0.5 \cdot \cos \left(2 \cdot \frac{\phi_1 - \phi_2}{2}\right)\right) + \frac{\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot \frac{1}{\frac{1 + \cos \left(\lambda_1 - \lambda_2\right)}{1 - \left(0.5 + 0.5 \cdot \cos \left(2 \cdot \left(\lambda_1 - \lambda_2\right)\right)\right)}}}{2}}}{\sqrt{\left(-0.08333333333333333 \cdot \left(\phi_2 \cdot \left(\phi_2 \cdot \phi_2\right)\right)\right) \cdot \sin \phi_1}}
\end{array}
Initial program 61.7%
Applied egg-rr57.3%
flip--N/A
clear-numN/A
/-lowering-/.f64N/A
+-commutativeN/A
metadata-evalN/A
sub-negN/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-rgt-identityN/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
Applied egg-rr57.1%
Taylor expanded in phi2 around 0
+-lowering-+.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
+-lowering-+.f64N/A
Simplified37.6%
Taylor expanded in phi2 around inf
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6410.1%
Simplified10.1%
Final simplification10.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* 2.0 R)
(atan2
(sqrt
(+
(+ 0.5 (* (cos phi2) -0.5))
(* (cos phi2) (+ 0.5 (* -0.5 (cos (- lambda2 lambda1)))))))
(*
(* phi2 (* phi2 phi2))
(* (cos (* 0.5 phi1)) (sqrt -0.00043402777777777775))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * atan2(sqrt(((0.5 + (cos(phi2) * -0.5)) + (cos(phi2) * (0.5 + (-0.5 * cos((lambda2 - lambda1))))))), ((phi2 * (phi2 * phi2)) * (cos((0.5 * phi1)) * sqrt(-0.00043402777777777775))));
}
real(8) function code(r, lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = (2.0d0 * r) * atan2(sqrt(((0.5d0 + (cos(phi2) * (-0.5d0))) + (cos(phi2) * (0.5d0 + ((-0.5d0) * cos((lambda2 - lambda1))))))), ((phi2 * (phi2 * phi2)) * (cos((0.5d0 * phi1)) * sqrt((-0.00043402777777777775d0)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (2.0 * R) * Math.atan2(Math.sqrt(((0.5 + (Math.cos(phi2) * -0.5)) + (Math.cos(phi2) * (0.5 + (-0.5 * Math.cos((lambda2 - lambda1))))))), ((phi2 * (phi2 * phi2)) * (Math.cos((0.5 * phi1)) * Math.sqrt(-0.00043402777777777775))));
}
def code(R, lambda1, lambda2, phi1, phi2): return (2.0 * R) * math.atan2(math.sqrt(((0.5 + (math.cos(phi2) * -0.5)) + (math.cos(phi2) * (0.5 + (-0.5 * math.cos((lambda2 - lambda1))))))), ((phi2 * (phi2 * phi2)) * (math.cos((0.5 * phi1)) * math.sqrt(-0.00043402777777777775))))
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(2.0 * R) * atan(sqrt(Float64(Float64(0.5 + Float64(cos(phi2) * -0.5)) + Float64(cos(phi2) * Float64(0.5 + Float64(-0.5 * cos(Float64(lambda2 - lambda1))))))), Float64(Float64(phi2 * Float64(phi2 * phi2)) * Float64(cos(Float64(0.5 * phi1)) * sqrt(-0.00043402777777777775))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = (2.0 * R) * atan2(sqrt(((0.5 + (cos(phi2) * -0.5)) + (cos(phi2) * (0.5 + (-0.5 * cos((lambda2 - lambda1))))))), ((phi2 * (phi2 * phi2)) * (cos((0.5 * phi1)) * sqrt(-0.00043402777777777775)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(2.0 * R), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(0.5 + N[(-0.5 * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(N[(phi2 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] * N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * N[Sqrt[-0.00043402777777777775], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(2 \cdot R\right) \cdot \tan^{-1}_* \frac{\sqrt{\left(0.5 + \cos \phi_2 \cdot -0.5\right) + \cos \phi_2 \cdot \left(0.5 + -0.5 \cdot \cos \left(\lambda_2 - \lambda_1\right)\right)}}{\left(\phi_2 \cdot \left(\phi_2 \cdot \phi_2\right)\right) \cdot \left(\cos \left(0.5 \cdot \phi_1\right) \cdot \sqrt{-0.00043402777777777775}\right)}
\end{array}
Initial program 61.7%
Simplified61.7%
Taylor expanded in phi2 around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
Simplified41.3%
Taylor expanded in phi2 around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f640.0%
Simplified0.0%
Applied egg-rr0.0%
Taylor expanded in phi1 around 0
sqrt-lowering-sqrt.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
cos-negN/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
Simplified0.0%
Final simplification0.0%
herbie shell --seed 2024139
(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))))))))))