
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (sin (- lambda1 lambda2)) (cos phi2)) (- (* (cos phi1) (sin phi2)) (* (* (sin phi1) (cos phi2)) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((sin(phi1) * cos(phi2)) * cos((lambda1 - lambda2)))));
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((sin(phi1) * cos(phi2)) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.sin((lambda1 - lambda2)) * Math.cos(phi2)), ((Math.cos(phi1) * Math.sin(phi2)) - ((Math.sin(phi1) * Math.cos(phi2)) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.sin((lambda1 - lambda2)) * math.cos(phi2)), ((math.cos(phi1) * math.sin(phi2)) - ((math.sin(phi1) * math.cos(phi2)) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(sin(phi1) * cos(phi2)) * cos(Float64(lambda1 - lambda2))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((sin(phi1) * cos(phi2)) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sin[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2}{\cos \phi_1 \cdot \sin \phi_2 - \left(\sin \phi_1 \cdot \cos \phi_2\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 26 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (sin (- lambda1 lambda2)) (cos phi2)) (- (* (cos phi1) (sin phi2)) (* (* (sin phi1) (cos phi2)) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((sin(phi1) * cos(phi2)) * cos((lambda1 - lambda2)))));
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((sin(phi1) * cos(phi2)) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.sin((lambda1 - lambda2)) * Math.cos(phi2)), ((Math.cos(phi1) * Math.sin(phi2)) - ((Math.sin(phi1) * Math.cos(phi2)) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.sin((lambda1 - lambda2)) * math.cos(phi2)), ((math.cos(phi1) * math.sin(phi2)) - ((math.sin(phi1) * math.cos(phi2)) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(sin(phi1) * cos(phi2)) * cos(Float64(lambda1 - lambda2))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((sin(phi1) * cos(phi2)) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Sin[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2}{\cos \phi_1 \cdot \sin \phi_2 - \left(\sin \phi_1 \cdot \cos \phi_2\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(atan2
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2))
(-
(* (cos phi1) (sin phi2))
(*
(* (cos phi2) (sin phi1))
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right)}
\end{array}
Initial program 74.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6486.8
Applied rewrites86.8%
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lift-sin.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f6499.8
Applied rewrites99.8%
Final simplification99.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(atan2
(*
(cos phi2)
(fma (sin lambda1) (cos lambda2) (* (sin (- lambda2)) (cos lambda1))))
(-
(* (cos phi1) (sin phi2))
(*
(* (cos phi2) (sin phi1))
(fma (sin lambda2) (sin lambda1) (* (cos lambda1) (cos lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * fma(sin(lambda1), cos(lambda2), (sin(-lambda2) * cos(lambda1)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * fma(sin(lambda2), sin(lambda1), (cos(lambda1) * cos(lambda2))))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * fma(sin(lambda1), cos(lambda2), Float64(sin(Float64(-lambda2)) * cos(lambda1)))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * fma(sin(lambda2), sin(lambda1), Float64(cos(lambda1) * cos(lambda2)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \sin \left(-\lambda_2\right) \cdot \cos \lambda_1\right)}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_1 \cdot \cos \lambda_2\right)}
\end{array}
Initial program 74.5%
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f6474.8
Applied rewrites74.8%
sub-negN/A
lift-neg.f64N/A
sin-sumN/A
lift-sin.f64N/A
lift-neg.f64N/A
cos-negN/A
lift-cos.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f6499.8
Applied rewrites99.8%
Final simplification99.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2)))
(t_2 (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))
(if (<= phi2 -1.25e-6)
(atan2 t_1 (fma (sin phi2) (cos phi1) (- t_2)))
(if (<= phi2 6e-17)
(atan2
t_1
(-
t_0
(*
(sin phi1)
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2))))))
(atan2 t_1 (- t_0 t_2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2);
double t_2 = (cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2));
double tmp;
if (phi2 <= -1.25e-6) {
tmp = atan2(t_1, fma(sin(phi2), cos(phi1), -t_2));
} else if (phi2 <= 6e-17) {
tmp = atan2(t_1, (t_0 - (sin(phi1) * fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))))));
} else {
tmp = atan2(t_1, (t_0 - t_2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)) t_2 = Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))) tmp = 0.0 if (phi2 <= -1.25e-6) tmp = atan(t_1, fma(sin(phi2), cos(phi1), Float64(-t_2))); elseif (phi2 <= 6e-17) tmp = atan(t_1, Float64(t_0 - Float64(sin(phi1) * fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2)))))); else tmp = atan(t_1, Float64(t_0 - t_2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -1.25e-6], N[ArcTan[t$95$1 / N[(N[Sin[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + (-t$95$2)), $MachinePrecision]], $MachinePrecision], If[LessEqual[phi2, 6e-17], N[ArcTan[t$95$1 / N[(t$95$0 - N[(N[Sin[phi1], $MachinePrecision] * N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[t$95$1 / N[(t$95$0 - t$95$2), $MachinePrecision]], $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \sin \phi_2\\
t_1 := \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2\\
t_2 := \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq -1.25 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\sin \phi_2, \cos \phi_1, -t\_2\right)}\\
\mathbf{elif}\;\phi_2 \leq 6 \cdot 10^{-17}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{t\_0 - \sin \phi_1 \cdot \mathsf{fma}\left(\cos \lambda_2, \cos \lambda_1, \sin \lambda_1 \cdot \sin \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{t\_0 - t\_2}\\
\end{array}
\end{array}
if phi2 < -1.2500000000000001e-6Initial program 73.1%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6483.0
Applied rewrites83.0%
Applied rewrites83.1%
if -1.2500000000000001e-6 < phi2 < 6.00000000000000012e-17Initial program 78.3%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6488.1
Applied rewrites88.1%
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lift-sin.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f6499.9
Applied rewrites99.9%
Taylor expanded in phi2 around 0
lower-sin.f6499.9
Applied rewrites99.9%
if 6.00000000000000012e-17 < phi2 Initial program 69.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6488.6
Applied rewrites88.6%
Final simplification92.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1
(atan2
(*
(fma
(sin (- lambda2))
(cos lambda1)
(* (sin lambda1) (cos lambda2)))
(cos phi2))
(fma (cos phi2) (- (* (cos lambda2) (sin phi1))) t_0))))
(if (<= lambda2 -0.0007)
t_1
(if (<= lambda2 4.2e-5)
(atan2
(* (cos phi2) (- (sin lambda1) (* lambda2 (cos lambda1))))
(-
t_0
(*
(* (cos phi2) (sin phi1))
(fma lambda2 (sin lambda1) (cos lambda1)))))
t_1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(cos(phi2), -(cos(lambda2) * sin(phi1)), t_0));
double tmp;
if (lambda2 <= -0.0007) {
tmp = t_1;
} else if (lambda2 <= 4.2e-5) {
tmp = atan2((cos(phi2) * (sin(lambda1) - (lambda2 * cos(lambda1)))), (t_0 - ((cos(phi2) * sin(phi1)) * fma(lambda2, sin(lambda1), cos(lambda1)))));
} else {
tmp = t_1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(cos(phi2), Float64(-Float64(cos(lambda2) * sin(phi1))), t_0)) tmp = 0.0 if (lambda2 <= -0.0007) tmp = t_1; elseif (lambda2 <= 4.2e-5) tmp = atan(Float64(cos(phi2) * Float64(sin(lambda1) - Float64(lambda2 * cos(lambda1)))), Float64(t_0 - Float64(Float64(cos(phi2) * sin(phi1)) * fma(lambda2, sin(lambda1), cos(lambda1))))); else tmp = t_1; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi2], $MachinePrecision] * (-N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]) + t$95$0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -0.0007], t$95$1, If[LessEqual[lambda2, 4.2e-5], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda1], $MachinePrecision] - N[(lambda2 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[(lambda2 * N[Sin[lambda1], $MachinePrecision] + N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \sin \phi_2\\
t_1 := \tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\cos \phi_2, -\cos \lambda_2 \cdot \sin \phi_1, t\_0\right)}\\
\mathbf{if}\;\lambda_2 \leq -0.0007:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_2 \leq 4.2 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 - \lambda_2 \cdot \cos \lambda_1\right)}{t\_0 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \mathsf{fma}\left(\lambda_2, \sin \lambda_1, \cos \lambda_1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda2 < -6.99999999999999993e-4 or 4.19999999999999977e-5 < lambda2 Initial program 54.1%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6476.7
Applied rewrites76.7%
Taylor expanded in lambda1 around 0
sub-negN/A
+-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-cos.f64N/A
cos-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-neg.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6476.2
Applied rewrites76.2%
if -6.99999999999999993e-4 < lambda2 < 4.19999999999999977e-5Initial program 98.7%
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f6498.8
Applied rewrites98.8%
Taylor expanded in lambda2 around 0
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f6499.8
Applied rewrites99.8%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-cos.f6499.8
Applied rewrites99.8%
Final simplification87.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (sin phi1)))
(t_1 (* (cos phi1) (sin phi2)))
(t_2
(atan2
(*
(fma
(sin (- lambda2))
(cos lambda1)
(* (sin lambda1) (cos lambda2)))
(cos phi2))
(fma (cos lambda1) (- t_0) t_1))))
(if (<= lambda1 -6800.0)
t_2
(if (<= lambda1 2.45e-15)
(atan2
(* (cos phi2) (- (* lambda1 (cos lambda2)) (sin lambda2)))
(- t_1 (* t_0 (fma lambda1 (sin lambda2) (cos lambda2)))))
t_2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * sin(phi1);
double t_1 = cos(phi1) * sin(phi2);
double t_2 = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(cos(lambda1), -t_0, t_1));
double tmp;
if (lambda1 <= -6800.0) {
tmp = t_2;
} else if (lambda1 <= 2.45e-15) {
tmp = atan2((cos(phi2) * ((lambda1 * cos(lambda2)) - sin(lambda2))), (t_1 - (t_0 * fma(lambda1, sin(lambda2), cos(lambda2)))));
} else {
tmp = t_2;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * sin(phi1)) t_1 = Float64(cos(phi1) * sin(phi2)) t_2 = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(cos(lambda1), Float64(-t_0), t_1)) tmp = 0.0 if (lambda1 <= -6800.0) tmp = t_2; elseif (lambda1 <= 2.45e-15) tmp = atan(Float64(cos(phi2) * Float64(Float64(lambda1 * cos(lambda2)) - sin(lambda2))), Float64(t_1 - Float64(t_0 * fma(lambda1, sin(lambda2), cos(lambda2))))); else tmp = t_2; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[lambda1], $MachinePrecision] * (-t$95$0) + t$95$1), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -6800.0], t$95$2, If[LessEqual[lambda1, 2.45e-15], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] - N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 - N[(t$95$0 * N[(lambda1 * N[Sin[lambda2], $MachinePrecision] + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \sin \phi_1\\
t_1 := \cos \phi_1 \cdot \sin \phi_2\\
t_2 := \tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\cos \lambda_1, -t\_0, t\_1\right)}\\
\mathbf{if}\;\lambda_1 \leq -6800:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\lambda_1 \leq 2.45 \cdot 10^{-15}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\lambda_1 \cdot \cos \lambda_2 - \sin \lambda_2\right)}{t\_1 - t\_0 \cdot \mathsf{fma}\left(\lambda_1, \sin \lambda_2, \cos \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if lambda1 < -6800 or 2.45e-15 < lambda1 Initial program 55.0%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6477.1
Applied rewrites77.1%
Taylor expanded in lambda2 around 0
sub-negN/A
+-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-neg.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6476.6
Applied rewrites76.6%
if -6800 < lambda1 < 2.45e-15Initial program 98.7%
Taylor expanded in lambda1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
remove-double-negN/A
lower-fma.f64N/A
lower-sin.f64N/A
cos-negN/A
lower-cos.f6498.8
Applied rewrites98.8%
Taylor expanded in lambda1 around 0
+-commutativeN/A
cos-negN/A
sin-negN/A
unsub-negN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6499.1
Applied rewrites99.1%
Final simplification86.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<=
(atan2
(* (cos phi2) t_0)
(-
(* (cos phi1) (sin phi2))
(* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))
-3.02)
(atan2 (sin (- lambda2)) (sin phi2))
(atan2 t_0 (sin phi2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (atan2((cos(phi2) * t_0), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2))))) <= -3.02) {
tmp = atan2(sin(-lambda2), sin(phi2));
} else {
tmp = atan2(t_0, sin(phi2));
}
return tmp;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
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) :: tmp
t_0 = sin((lambda1 - lambda2))
if (atan2((cos(phi2) * t_0), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2))))) <= (-3.02d0)) then
tmp = atan2(sin(-lambda2), sin(phi2))
else
tmp = atan2(t_0, sin(phi2))
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((lambda1 - lambda2));
double tmp;
if (Math.atan2((Math.cos(phi2) * t_0), ((Math.cos(phi1) * Math.sin(phi2)) - ((Math.cos(phi2) * Math.sin(phi1)) * Math.cos((lambda1 - lambda2))))) <= -3.02) {
tmp = Math.atan2(Math.sin(-lambda2), Math.sin(phi2));
} else {
tmp = Math.atan2(t_0, Math.sin(phi2));
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.sin((lambda1 - lambda2)) tmp = 0 if math.atan2((math.cos(phi2) * t_0), ((math.cos(phi1) * math.sin(phi2)) - ((math.cos(phi2) * math.sin(phi1)) * math.cos((lambda1 - lambda2))))) <= -3.02: tmp = math.atan2(math.sin(-lambda2), math.sin(phi2)) else: tmp = math.atan2(t_0, math.sin(phi2)) return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (atan(Float64(cos(phi2) * t_0), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) <= -3.02) tmp = atan(sin(Float64(-lambda2)), sin(phi2)); else tmp = atan(t_0, sin(phi2)); end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = sin((lambda1 - lambda2)); tmp = 0.0; if (atan2((cos(phi2) * t_0), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2))))) <= -3.02) tmp = atan2(sin(-lambda2), sin(phi2)); else tmp = atan2(t_0, sin(phi2)); end tmp_2 = tmp; end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], -3.02], N[ArcTan[N[Sin[(-lambda2)], $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], N[ArcTan[t$95$0 / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\tan^{-1}_* \frac{\cos \phi_2 \cdot t\_0}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)} \leq -3.02:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right)}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\sin \phi_2}\\
\end{array}
\end{array}
if (atan2.f64 (*.f64 (sin.f64 (-.f64 lambda1 lambda2)) (cos.f64 phi2)) (-.f64 (*.f64 (cos.f64 phi1) (sin.f64 phi2)) (*.f64 (*.f64 (sin.f64 phi1) (cos.f64 phi2)) (cos.f64 (-.f64 lambda1 lambda2))))) < -3.02000000000000002Initial program 81.4%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6448.4
Applied rewrites48.4%
Taylor expanded in phi1 around 0
lower-sin.f6417.0
Applied rewrites17.0%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6434.9
Applied rewrites34.9%
if -3.02000000000000002 < (atan2.f64 (*.f64 (sin.f64 (-.f64 lambda1 lambda2)) (cos.f64 phi2)) (-.f64 (*.f64 (cos.f64 phi1) (sin.f64 phi2)) (*.f64 (*.f64 (sin.f64 phi1) (cos.f64 phi2)) (cos.f64 (-.f64 lambda1 lambda2))))) Initial program 73.8%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6445.4
Applied rewrites45.4%
Taylor expanded in phi1 around 0
lower-sin.f6429.1
Applied rewrites29.1%
Final simplification29.6%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2))) (cos phi2)) (fma (sin phi2) (cos phi1) (- (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(sin(phi2), cos(phi1), -((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(sin(phi2), cos(phi1), Float64(-Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[Sin[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + (-N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\sin \phi_2, \cos \phi_1, -\left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}
\end{array}
Initial program 74.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6486.8
Applied rewrites86.8%
Applied rewrites86.8%
Final simplification86.8%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2))) (cos phi2)) (- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Initial program 74.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6486.8
Applied rewrites86.8%
Final simplification86.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (sin (- lambda2)))
(t_3
(atan2
(* (cos phi2) (fma t_2 (cos lambda1) (sin lambda1)))
(- t_0 (* (* (cos phi2) (sin phi1)) t_1)))))
(if (<= phi1 -4.9e+54)
t_3
(if (<= phi1 1.05e-9)
(atan2
(* (fma t_2 (cos lambda1) (* (sin lambda1) (cos lambda2))) (cos phi2))
(- t_0 (* (sin phi1) t_1)))
t_3))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = sin(-lambda2);
double t_3 = atan2((cos(phi2) * fma(t_2, cos(lambda1), sin(lambda1))), (t_0 - ((cos(phi2) * sin(phi1)) * t_1)));
double tmp;
if (phi1 <= -4.9e+54) {
tmp = t_3;
} else if (phi1 <= 1.05e-9) {
tmp = atan2((fma(t_2, cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), (t_0 - (sin(phi1) * t_1)));
} else {
tmp = t_3;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = sin(Float64(-lambda2)) t_3 = atan(Float64(cos(phi2) * fma(t_2, cos(lambda1), sin(lambda1))), Float64(t_0 - Float64(Float64(cos(phi2) * sin(phi1)) * t_1))) tmp = 0.0 if (phi1 <= -4.9e+54) tmp = t_3; elseif (phi1 <= 1.05e-9) tmp = atan(Float64(fma(t_2, cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), Float64(t_0 - Float64(sin(phi1) * t_1))); else tmp = t_3; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[(-lambda2)], $MachinePrecision]}, Block[{t$95$3 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$2 * N[Cos[lambda1], $MachinePrecision] + N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -4.9e+54], t$95$3, If[LessEqual[phi1, 1.05e-9], N[ArcTan[N[(N[(t$95$2 * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[Sin[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \sin \phi_2\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \sin \left(-\lambda_2\right)\\
t_3 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(t\_2, \cos \lambda_1, \sin \lambda_1\right)}{t\_0 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot t\_1}\\
\mathbf{if}\;\phi_1 \leq -4.9 \cdot 10^{+54}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 1.05 \cdot 10^{-9}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(t\_2, \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{t\_0 - \sin \phi_1 \cdot t\_1}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -4.90000000000000001e54 or 1.0500000000000001e-9 < phi1 Initial program 70.0%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6473.8
Applied rewrites73.8%
Taylor expanded in lambda2 around 0
lower-sin.f6470.8
Applied rewrites70.8%
if -4.90000000000000001e54 < phi1 < 1.0500000000000001e-9Initial program 78.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6498.5
Applied rewrites98.5%
Taylor expanded in phi2 around 0
lower-sin.f6498.4
Applied rewrites98.4%
Final simplification85.2%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda2)))
(t_1 (cos (- lambda1 lambda2)))
(t_2 (- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) t_1))))
(if (<= phi1 -1.2e-5)
(atan2
(*
(cos phi2)
(sin
(* (+ lambda2 lambda1) (/ (- lambda1 lambda2) (+ lambda2 lambda1)))))
t_2)
(if (<= phi1 8.6e-9)
(atan2
(* (fma t_0 (cos lambda1) (* (sin lambda1) (cos lambda2))) (cos phi2))
(fma phi1 (- (* (cos phi2) t_1)) (sin phi2)))
(atan2 (* (cos phi2) (fma t_0 (cos lambda1) (sin lambda1))) t_2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(-lambda2);
double t_1 = cos((lambda1 - lambda2));
double t_2 = (cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * t_1);
double tmp;
if (phi1 <= -1.2e-5) {
tmp = atan2((cos(phi2) * sin(((lambda2 + lambda1) * ((lambda1 - lambda2) / (lambda2 + lambda1))))), t_2);
} else if (phi1 <= 8.6e-9) {
tmp = atan2((fma(t_0, cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(phi1, -(cos(phi2) * t_1), sin(phi2)));
} else {
tmp = atan2((cos(phi2) * fma(t_0, cos(lambda1), sin(lambda1))), t_2);
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-lambda2)) t_1 = cos(Float64(lambda1 - lambda2)) t_2 = Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * t_1)) tmp = 0.0 if (phi1 <= -1.2e-5) tmp = atan(Float64(cos(phi2) * sin(Float64(Float64(lambda2 + lambda1) * Float64(Float64(lambda1 - lambda2) / Float64(lambda2 + lambda1))))), t_2); elseif (phi1 <= 8.6e-9) tmp = atan(Float64(fma(t_0, cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(phi1, Float64(-Float64(cos(phi2) * t_1)), sin(phi2))); else tmp = atan(Float64(cos(phi2) * fma(t_0, cos(lambda1), sin(lambda1))), t_2); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[(-lambda2)], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.2e-5], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda2 + lambda1), $MachinePrecision] * N[(N[(lambda1 - lambda2), $MachinePrecision] / N[(lambda2 + lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / t$95$2], $MachinePrecision], If[LessEqual[phi1, 8.6e-9], N[ArcTan[N[(N[(t$95$0 * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(phi1 * (-N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision]) + N[Sin[phi2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 * N[Cos[lambda1], $MachinePrecision] + N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2], $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-\lambda_2\right)\\
t_1 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot t\_1\\
\mathbf{if}\;\phi_1 \leq -1.2 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\left(\lambda_2 + \lambda_1\right) \cdot \frac{\lambda_1 - \lambda_2}{\lambda_2 + \lambda_1}\right)}{t\_2}\\
\mathbf{elif}\;\phi_1 \leq 8.6 \cdot 10^{-9}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(t\_0, \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\phi_1, -\cos \phi_2 \cdot t\_1, \sin \phi_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(t\_0, \cos \lambda_1, \sin \lambda_1\right)}{t\_2}\\
\end{array}
\end{array}
if phi1 < -1.2e-5Initial program 78.4%
flip--N/A
difference-of-squaresN/A
lift--.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f6478.8
Applied rewrites78.8%
if -1.2e-5 < phi1 < 8.59999999999999925e-9Initial program 77.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in phi1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
mul-1-negN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
if 8.59999999999999925e-9 < phi1 Initial program 65.4%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6469.1
Applied rewrites69.1%
Taylor expanded in lambda2 around 0
lower-sin.f6465.4
Applied rewrites65.4%
Final simplification85.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1
(atan2
(*
(cos phi2)
(sin
(*
(+ lambda2 lambda1)
(/ (- lambda1 lambda2) (+ lambda2 lambda1)))))
(- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) t_0)))))
(if (<= phi1 -1.2e-5)
t_1
(if (<= phi1 8.6e-9)
(atan2
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2))
(fma phi1 (- (* (cos phi2) t_0)) (sin phi2)))
t_1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = atan2((cos(phi2) * sin(((lambda2 + lambda1) * ((lambda1 - lambda2) / (lambda2 + lambda1))))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * t_0)));
double tmp;
if (phi1 <= -1.2e-5) {
tmp = t_1;
} else if (phi1 <= 8.6e-9) {
tmp = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(phi1, -(cos(phi2) * t_0), sin(phi2)));
} else {
tmp = t_1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = atan(Float64(cos(phi2) * sin(Float64(Float64(lambda2 + lambda1) * Float64(Float64(lambda1 - lambda2) / Float64(lambda2 + lambda1))))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * t_0))) tmp = 0.0 if (phi1 <= -1.2e-5) tmp = t_1; elseif (phi1 <= 8.6e-9) tmp = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), fma(phi1, Float64(-Float64(cos(phi2) * t_0)), sin(phi2))); else tmp = t_1; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda2 + lambda1), $MachinePrecision] * N[(N[(lambda1 - lambda2), $MachinePrecision] / N[(lambda2 + lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -1.2e-5], t$95$1, If[LessEqual[phi1, 8.6e-9], N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(phi1 * (-N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]) + N[Sin[phi2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\left(\lambda_2 + \lambda_1\right) \cdot \frac{\lambda_1 - \lambda_2}{\lambda_2 + \lambda_1}\right)}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot t\_0}\\
\mathbf{if}\;\phi_1 \leq -1.2 \cdot 10^{-5}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 8.6 \cdot 10^{-9}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\phi_1, -\cos \phi_2 \cdot t\_0, \sin \phi_2\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -1.2e-5 or 8.59999999999999925e-9 < phi1 Initial program 71.8%
flip--N/A
difference-of-squaresN/A
lift--.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f6471.9
Applied rewrites71.9%
if -1.2e-5 < phi1 < 8.59999999999999925e-9Initial program 77.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in phi1 around 0
+-commutativeN/A
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
mul-1-negN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-sin.f6499.6
Applied rewrites99.6%
Final simplification85.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(sin
(*
(+ lambda2 lambda1)
(/ (- lambda1 lambda2) (+ lambda2 lambda1)))))
(-
(* (cos phi1) (sin phi2))
(* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))))
(if (<= phi1 -2.7e-61)
t_0
(if (<= phi1 1.05e-44)
(atan2
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2))
(sin phi2))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * sin(((lambda2 + lambda1) * ((lambda1 - lambda2) / (lambda2 + lambda1))))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
double tmp;
if (phi1 <= -2.7e-61) {
tmp = t_0;
} else if (phi1 <= 1.05e-44) {
tmp = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * sin(Float64(Float64(lambda2 + lambda1) * Float64(Float64(lambda1 - lambda2) / Float64(lambda2 + lambda1))))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) tmp = 0.0 if (phi1 <= -2.7e-61) tmp = t_0; elseif (phi1 <= 1.05e-44) tmp = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2)); else tmp = t_0; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(N[(lambda2 + lambda1), $MachinePrecision] * N[(N[(lambda1 - lambda2), $MachinePrecision] / N[(lambda2 + lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.7e-61], t$95$0, If[LessEqual[phi1, 1.05e-44], N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\left(\lambda_2 + \lambda_1\right) \cdot \frac{\lambda_1 - \lambda_2}{\lambda_2 + \lambda_1}\right)}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{if}\;\phi_1 \leq -2.7 \cdot 10^{-61}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_1 \leq 1.05 \cdot 10^{-44}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi1 < -2.69999999999999993e-61 or 1.05000000000000001e-44 < phi1 Initial program 73.7%
flip--N/A
difference-of-squaresN/A
lift--.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f6473.8
Applied rewrites73.8%
if -2.69999999999999993e-61 < phi1 < 1.05000000000000001e-44Initial program 75.7%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6499.9
Applied rewrites99.9%
Taylor expanded in phi1 around 0
lower-sin.f6498.1
Applied rewrites98.1%
Final simplification83.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(-
(* (cos phi1) (sin phi2))
(* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))))
(if (<= phi1 -2.7e-61)
t_0
(if (<= phi1 1.05e-44)
(atan2
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2))
(sin phi2))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
double tmp;
if (phi1 <= -2.7e-61) {
tmp = t_0;
} else if (phi1 <= 1.05e-44) {
tmp = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) tmp = 0.0 if (phi1 <= -2.7e-61) tmp = t_0; elseif (phi1 <= 1.05e-44) tmp = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2)); else tmp = t_0; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.7e-61], t$95$0, If[LessEqual[phi1, 1.05e-44], N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{if}\;\phi_1 \leq -2.7 \cdot 10^{-61}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_1 \leq 1.05 \cdot 10^{-44}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi1 < -2.69999999999999993e-61 or 1.05000000000000001e-44 < phi1 Initial program 73.7%
if -2.69999999999999993e-61 < phi1 < 1.05000000000000001e-44Initial program 75.7%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6499.9
Applied rewrites99.9%
Taylor expanded in phi1 around 0
lower-sin.f6498.1
Applied rewrites98.1%
Final simplification83.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(fma
(sin (- lambda2))
(cos lambda1)
(* (sin lambda1) (cos lambda2)))
(cos phi2))
(sin phi2))))
(if (<= lambda2 -45.0)
t_0
(if (<= lambda2 4.5e-5)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(-
(* (cos phi1) (sin phi2))
(* (cos lambda1) (* (cos phi2) (sin phi1)))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2));
double tmp;
if (lambda2 <= -45.0) {
tmp = t_0;
} else if (lambda2 <= 4.5e-5) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (cos(lambda1) * (cos(phi2) * sin(phi1)))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2)) tmp = 0.0 if (lambda2 <= -45.0) tmp = t_0; elseif (lambda2 <= 4.5e-5) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(cos(lambda1) * Float64(cos(phi2) * sin(phi1))))); else tmp = t_0; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -45.0], t$95$0, If[LessEqual[lambda2, 4.5e-5], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{if}\;\lambda_2 \leq -45:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_2 \leq 4.5 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 \cdot \sin \phi_2 - \cos \lambda_1 \cdot \left(\cos \phi_2 \cdot \sin \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda2 < -45 or 4.50000000000000028e-5 < lambda2 Initial program 53.8%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6476.5
Applied rewrites76.5%
Taylor expanded in phi1 around 0
lower-sin.f6461.4
Applied rewrites61.4%
if -45 < lambda2 < 4.50000000000000028e-5Initial program 98.7%
Taylor expanded in lambda2 around 0
lower-cos.f6498.0
Applied rewrites98.0%
Final simplification78.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi1 -2.7e-61)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(- (* (cos phi1) (sin phi2)) (* (sin phi1) (cos (- lambda1 lambda2)))))
(if (<= phi1 8.6e-9)
(atan2
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2))
(sin phi2))
(atan2
(* (sin lambda1) (cos phi2))
(fma
(cos phi1)
(sin phi2)
(- (* (cos lambda1) (* (cos phi2) (sin phi1)))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi1 <= -2.7e-61) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda1 - lambda2)))));
} else if (phi1 <= 8.6e-9) {
tmp = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2));
} else {
tmp = atan2((sin(lambda1) * cos(phi2)), fma(cos(phi1), sin(phi2), -(cos(lambda1) * (cos(phi2) * sin(phi1)))));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi1 <= -2.7e-61) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))); elseif (phi1 <= 8.6e-9) tmp = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2)); else tmp = atan(Float64(sin(lambda1) * cos(phi2)), fma(cos(phi1), sin(phi2), Float64(-Float64(cos(lambda1) * Float64(cos(phi2) * sin(phi1)))))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi1, -2.7e-61], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], If[LessEqual[phi1, 8.6e-9], N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], N[ArcTan[N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + (-N[(N[Cos[lambda1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision])), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_1 \leq -2.7 \cdot 10^{-61}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 \cdot \sin \phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{elif}\;\phi_1 \leq 8.6 \cdot 10^{-9}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \lambda_1 \cdot \cos \phi_2}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, -\cos \lambda_1 \cdot \left(\cos \phi_2 \cdot \sin \phi_1\right)\right)}\\
\end{array}
\end{array}
if phi1 < -2.69999999999999993e-61Initial program 80.7%
Taylor expanded in phi2 around 0
lower-sin.f6464.1
Applied rewrites64.1%
if -2.69999999999999993e-61 < phi1 < 8.59999999999999925e-9Initial program 75.8%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in phi1 around 0
lower-sin.f6496.4
Applied rewrites96.4%
if 8.59999999999999925e-9 < phi1 Initial program 65.4%
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f6466.4
Applied rewrites66.4%
Taylor expanded in lambda2 around 0
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f6451.0
Applied rewrites51.0%
Taylor expanded in lambda2 around 0
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6449.5
Applied rewrites49.5%
Taylor expanded in lambda2 around 0
lower-sin.f6443.6
Applied rewrites43.6%
Final simplification72.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(-
(* (cos phi1) (sin phi2))
(* (sin phi1) (cos (- lambda1 lambda2)))))))
(if (<= phi1 -2.7e-61)
t_0
(if (<= phi1 1.05e-44)
(atan2
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2))
(sin phi2))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda1 - lambda2)))));
double tmp;
if (phi1 <= -2.7e-61) {
tmp = t_0;
} else if (phi1 <= 1.05e-44) {
tmp = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))) tmp = 0.0 if (phi1 <= -2.7e-61) tmp = t_0; elseif (phi1 <= 1.05e-44) tmp = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2)); else tmp = t_0; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.7e-61], t$95$0, If[LessEqual[phi1, 1.05e-44], N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 \cdot \sin \phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{if}\;\phi_1 \leq -2.7 \cdot 10^{-61}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_1 \leq 1.05 \cdot 10^{-44}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi1 < -2.69999999999999993e-61 or 1.05000000000000001e-44 < phi1 Initial program 73.7%
Taylor expanded in phi2 around 0
lower-sin.f6454.7
Applied rewrites54.7%
if -2.69999999999999993e-61 < phi1 < 1.05000000000000001e-44Initial program 75.7%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6499.9
Applied rewrites99.9%
Taylor expanded in phi1 around 0
lower-sin.f6498.1
Applied rewrites98.1%
Final simplification71.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(sin (- lambda1 lambda2))
(-
(* (cos phi1) (sin phi2))
(* (sin phi1) (cos (- lambda1 lambda2)))))))
(if (<= phi1 -2.15e-10)
t_0
(if (<= phi1 3.1e-5)
(atan2
(*
(fma (sin (- lambda2)) (cos lambda1) (* (sin lambda1) (cos lambda2)))
(cos phi2))
(sin phi2))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2(sin((lambda1 - lambda2)), ((cos(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda1 - lambda2)))));
double tmp;
if (phi1 <= -2.15e-10) {
tmp = t_0;
} else if (phi1 <= 3.1e-5) {
tmp = atan2((fma(sin(-lambda2), cos(lambda1), (sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(sin(Float64(lambda1 - lambda2)), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))) tmp = 0.0 if (phi1 <= -2.15e-10) tmp = t_0; elseif (phi1 <= 3.1e-5) tmp = atan(Float64(fma(sin(Float64(-lambda2)), cos(lambda1), Float64(sin(lambda1) * cos(lambda2))) * cos(phi2)), sin(phi2)); else tmp = t_0; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.15e-10], t$95$0, If[LessEqual[phi1, 3.1e-5], N[ArcTan[N[(N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 \cdot \sin \phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{if}\;\phi_1 \leq -2.15 \cdot 10^{-10}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_1 \leq 3.1 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \sin \lambda_1 \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi1 < -2.15000000000000007e-10 or 3.10000000000000014e-5 < phi1 Initial program 71.8%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6447.2
Applied rewrites47.2%
Taylor expanded in phi2 around 0
lower-sin.f6447.4
Applied rewrites47.4%
if -2.15000000000000007e-10 < phi1 < 3.10000000000000014e-5Initial program 77.5%
sub-negN/A
+-commutativeN/A
sin-sumN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f6499.6
Applied rewrites99.6%
Taylor expanded in phi1 around 0
lower-sin.f6495.4
Applied rewrites95.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi2 -0.78)
(atan2
(* (cos phi2) (- (sin lambda1) (* lambda2 (cos lambda1))))
(sin phi2))
(if (<= phi2 0.035)
(atan2
(sin (- lambda1 lambda2))
(fma (cos (- lambda1 lambda2)) (- (sin phi1)) (* phi2 (cos phi1))))
(atan2 (* (sin (- lambda2)) (cos phi2)) (sin phi2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= -0.78) {
tmp = atan2((cos(phi2) * (sin(lambda1) - (lambda2 * cos(lambda1)))), sin(phi2));
} else if (phi2 <= 0.035) {
tmp = atan2(sin((lambda1 - lambda2)), fma(cos((lambda1 - lambda2)), -sin(phi1), (phi2 * cos(phi1))));
} else {
tmp = atan2((sin(-lambda2) * cos(phi2)), sin(phi2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi2 <= -0.78) tmp = atan(Float64(cos(phi2) * Float64(sin(lambda1) - Float64(lambda2 * cos(lambda1)))), sin(phi2)); elseif (phi2 <= 0.035) tmp = atan(sin(Float64(lambda1 - lambda2)), fma(cos(Float64(lambda1 - lambda2)), Float64(-sin(phi1)), Float64(phi2 * cos(phi1)))); else tmp = atan(Float64(sin(Float64(-lambda2)) * cos(phi2)), sin(phi2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi2, -0.78], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda1], $MachinePrecision] - N[(lambda2 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], If[LessEqual[phi2, 0.035], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision]) + N[(phi2 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_2 \leq -0.78:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 - \lambda_2 \cdot \cos \lambda_1\right)}{\sin \phi_2}\\
\mathbf{elif}\;\phi_2 \leq 0.035:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\cos \left(\lambda_1 - \lambda_2\right), -\sin \phi_1, \phi_2 \cdot \cos \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\end{array}
\end{array}
if phi2 < -0.78000000000000003Initial program 72.7%
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f6473.0
Applied rewrites73.0%
Taylor expanded in lambda2 around 0
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f6452.9
Applied rewrites52.9%
Taylor expanded in phi1 around 0
lower-sin.f6434.6
Applied rewrites34.6%
if -0.78000000000000003 < phi2 < 0.035000000000000003Initial program 78.9%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6478.0
Applied rewrites78.0%
Taylor expanded in phi2 around 0
sub-negN/A
+-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f6478.2
Applied rewrites78.2%
if 0.035000000000000003 < phi2 Initial program 67.6%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6447.0
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-sin.f6430.9
Applied rewrites30.9%
Final simplification54.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi2 -0.04)
(atan2
(* (cos phi2) (- (sin lambda1) (* lambda2 (cos lambda1))))
(sin phi2))
(if (<= phi2 3.8e-6)
(atan2
(sin (- lambda1 lambda2))
(- (* (sin phi1) (cos (- lambda1 lambda2)))))
(atan2 (* (sin (- lambda2)) (cos phi2)) (sin phi2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= -0.04) {
tmp = atan2((cos(phi2) * (sin(lambda1) - (lambda2 * cos(lambda1)))), sin(phi2));
} else if (phi2 <= 3.8e-6) {
tmp = atan2(sin((lambda1 - lambda2)), -(sin(phi1) * cos((lambda1 - lambda2))));
} else {
tmp = atan2((sin(-lambda2) * cos(phi2)), sin(phi2));
}
return tmp;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: tmp
if (phi2 <= (-0.04d0)) then
tmp = atan2((cos(phi2) * (sin(lambda1) - (lambda2 * cos(lambda1)))), sin(phi2))
else if (phi2 <= 3.8d-6) then
tmp = atan2(sin((lambda1 - lambda2)), -(sin(phi1) * cos((lambda1 - lambda2))))
else
tmp = atan2((sin(-lambda2) * cos(phi2)), sin(phi2))
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= -0.04) {
tmp = Math.atan2((Math.cos(phi2) * (Math.sin(lambda1) - (lambda2 * Math.cos(lambda1)))), Math.sin(phi2));
} else if (phi2 <= 3.8e-6) {
tmp = Math.atan2(Math.sin((lambda1 - lambda2)), -(Math.sin(phi1) * Math.cos((lambda1 - lambda2))));
} else {
tmp = Math.atan2((Math.sin(-lambda2) * Math.cos(phi2)), Math.sin(phi2));
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): tmp = 0 if phi2 <= -0.04: tmp = math.atan2((math.cos(phi2) * (math.sin(lambda1) - (lambda2 * math.cos(lambda1)))), math.sin(phi2)) elif phi2 <= 3.8e-6: tmp = math.atan2(math.sin((lambda1 - lambda2)), -(math.sin(phi1) * math.cos((lambda1 - lambda2)))) else: tmp = math.atan2((math.sin(-lambda2) * math.cos(phi2)), math.sin(phi2)) return tmp
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi2 <= -0.04) tmp = atan(Float64(cos(phi2) * Float64(sin(lambda1) - Float64(lambda2 * cos(lambda1)))), sin(phi2)); elseif (phi2 <= 3.8e-6) tmp = atan(sin(Float64(lambda1 - lambda2)), Float64(-Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))); else tmp = atan(Float64(sin(Float64(-lambda2)) * cos(phi2)), sin(phi2)); end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) tmp = 0.0; if (phi2 <= -0.04) tmp = atan2((cos(phi2) * (sin(lambda1) - (lambda2 * cos(lambda1)))), sin(phi2)); elseif (phi2 <= 3.8e-6) tmp = atan2(sin((lambda1 - lambda2)), -(sin(phi1) * cos((lambda1 - lambda2)))); else tmp = atan2((sin(-lambda2) * cos(phi2)), sin(phi2)); end tmp_2 = tmp; end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi2, -0.04], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda1], $MachinePrecision] - N[(lambda2 * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], If[LessEqual[phi2, 3.8e-6], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / (-N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])], $MachinePrecision], N[ArcTan[N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_2 \leq -0.04:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 - \lambda_2 \cdot \cos \lambda_1\right)}{\sin \phi_2}\\
\mathbf{elif}\;\phi_2 \leq 3.8 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{-\sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\end{array}
\end{array}
if phi2 < -0.0400000000000000008Initial program 72.7%
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f6473.0
Applied rewrites73.0%
Taylor expanded in lambda2 around 0
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f6452.9
Applied rewrites52.9%
Taylor expanded in phi1 around 0
lower-sin.f6434.6
Applied rewrites34.6%
if -0.0400000000000000008 < phi2 < 3.8e-6Initial program 78.5%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6478.0
Applied rewrites78.0%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6473.8
Applied rewrites73.8%
if 3.8e-6 < phi2 Initial program 68.6%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6447.2
Applied rewrites47.2%
Taylor expanded in phi1 around 0
lower-sin.f6431.6
Applied rewrites31.6%
Final simplification52.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (atan2 (* (sin (- lambda2)) (cos phi2)) (sin phi2))))
(if (<= phi2 -1.12e+15)
t_0
(if (<= phi2 3.8e-6)
(atan2
(sin (- lambda1 lambda2))
(- (* (sin phi1) (cos (- lambda1 lambda2)))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((sin(-lambda2) * cos(phi2)), sin(phi2));
double tmp;
if (phi2 <= -1.12e+15) {
tmp = t_0;
} else if (phi2 <= 3.8e-6) {
tmp = atan2(sin((lambda1 - lambda2)), -(sin(phi1) * cos((lambda1 - lambda2))));
} else {
tmp = t_0;
}
return tmp;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
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) :: tmp
t_0 = atan2((sin(-lambda2) * cos(phi2)), sin(phi2))
if (phi2 <= (-1.12d+15)) then
tmp = t_0
else if (phi2 <= 3.8d-6) then
tmp = atan2(sin((lambda1 - lambda2)), -(sin(phi1) * cos((lambda1 - lambda2))))
else
tmp = t_0
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.atan2((Math.sin(-lambda2) * Math.cos(phi2)), Math.sin(phi2));
double tmp;
if (phi2 <= -1.12e+15) {
tmp = t_0;
} else if (phi2 <= 3.8e-6) {
tmp = Math.atan2(Math.sin((lambda1 - lambda2)), -(Math.sin(phi1) * Math.cos((lambda1 - lambda2))));
} else {
tmp = t_0;
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.atan2((math.sin(-lambda2) * math.cos(phi2)), math.sin(phi2)) tmp = 0 if phi2 <= -1.12e+15: tmp = t_0 elif phi2 <= 3.8e-6: tmp = math.atan2(math.sin((lambda1 - lambda2)), -(math.sin(phi1) * math.cos((lambda1 - lambda2)))) else: tmp = t_0 return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(sin(Float64(-lambda2)) * cos(phi2)), sin(phi2)) tmp = 0.0 if (phi2 <= -1.12e+15) tmp = t_0; elseif (phi2 <= 3.8e-6) tmp = atan(sin(Float64(lambda1 - lambda2)), Float64(-Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))); else tmp = t_0; end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = atan2((sin(-lambda2) * cos(phi2)), sin(phi2)); tmp = 0.0; if (phi2 <= -1.12e+15) tmp = t_0; elseif (phi2 <= 3.8e-6) tmp = atan2(sin((lambda1 - lambda2)), -(sin(phi1) * cos((lambda1 - lambda2)))); else tmp = t_0; end tmp_2 = tmp; end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[ArcTan[N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -1.12e+15], t$95$0, If[LessEqual[phi2, 3.8e-6], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / (-N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision])], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\sin \left(-\lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{if}\;\phi_2 \leq -1.12 \cdot 10^{+15}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_2 \leq 3.8 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{-\sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi2 < -1.12e15 or 3.8e-6 < phi2 Initial program 70.7%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6445.8
Applied rewrites45.8%
Taylor expanded in phi1 around 0
lower-sin.f6431.6
Applied rewrites31.6%
if -1.12e15 < phi2 < 3.8e-6Initial program 78.4%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6476.0
Applied rewrites76.0%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6471.8
Applied rewrites71.8%
Final simplification51.2%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (atan2 (sin lambda1) (sin phi2))))
(if (<= lambda1 -0.14)
t_0
(if (<= lambda1 1.6e-15)
(atan2 (* (sin (- lambda2)) (cos phi2)) (sin phi2))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2(sin(lambda1), sin(phi2));
double tmp;
if (lambda1 <= -0.14) {
tmp = t_0;
} else if (lambda1 <= 1.6e-15) {
tmp = atan2((sin(-lambda2) * cos(phi2)), sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
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) :: tmp
t_0 = atan2(sin(lambda1), sin(phi2))
if (lambda1 <= (-0.14d0)) then
tmp = t_0
else if (lambda1 <= 1.6d-15) then
tmp = atan2((sin(-lambda2) * cos(phi2)), sin(phi2))
else
tmp = t_0
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.atan2(Math.sin(lambda1), Math.sin(phi2));
double tmp;
if (lambda1 <= -0.14) {
tmp = t_0;
} else if (lambda1 <= 1.6e-15) {
tmp = Math.atan2((Math.sin(-lambda2) * Math.cos(phi2)), Math.sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.atan2(math.sin(lambda1), math.sin(phi2)) tmp = 0 if lambda1 <= -0.14: tmp = t_0 elif lambda1 <= 1.6e-15: tmp = math.atan2((math.sin(-lambda2) * math.cos(phi2)), math.sin(phi2)) else: tmp = t_0 return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(sin(lambda1), sin(phi2)) tmp = 0.0 if (lambda1 <= -0.14) tmp = t_0; elseif (lambda1 <= 1.6e-15) tmp = atan(Float64(sin(Float64(-lambda2)) * cos(phi2)), sin(phi2)); else tmp = t_0; end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = atan2(sin(lambda1), sin(phi2)); tmp = 0.0; if (lambda1 <= -0.14) tmp = t_0; elseif (lambda1 <= 1.6e-15) tmp = atan2((sin(-lambda2) * cos(phi2)), sin(phi2)); else tmp = t_0; end tmp_2 = tmp; end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[ArcTan[N[Sin[lambda1], $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -0.14], t$95$0, If[LessEqual[lambda1, 1.6e-15], N[ArcTan[N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\sin \lambda_1}{\sin \phi_2}\\
\mathbf{if}\;\lambda_1 \leq -0.14:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_1 \leq 1.6 \cdot 10^{-15}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right) \cdot \cos \phi_2}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda1 < -0.14000000000000001 or 1.6e-15 < lambda1 Initial program 55.4%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6438.1
Applied rewrites38.1%
Taylor expanded in phi1 around 0
lower-sin.f6423.8
Applied rewrites23.8%
Taylor expanded in lambda2 around 0
lower-sin.f6425.6
Applied rewrites25.6%
if -0.14000000000000001 < lambda1 < 1.6e-15Initial program 98.7%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6483.6
Applied rewrites83.6%
Taylor expanded in phi1 around 0
lower-sin.f6453.0
Applied rewrites53.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi2 -1350.0)
(atan2 (sin lambda1) (sin phi2))
(atan2
(sin (- lambda1 lambda2))
(*
phi2
(fma
(* phi2 phi2)
(fma
(* phi2 phi2)
(fma (* phi2 phi2) -0.0001984126984126984 0.008333333333333333)
-0.16666666666666666)
1.0)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= -1350.0) {
tmp = atan2(sin(lambda1), sin(phi2));
} else {
tmp = atan2(sin((lambda1 - lambda2)), (phi2 * fma((phi2 * phi2), fma((phi2 * phi2), fma((phi2 * phi2), -0.0001984126984126984, 0.008333333333333333), -0.16666666666666666), 1.0)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi2 <= -1350.0) tmp = atan(sin(lambda1), sin(phi2)); else tmp = atan(sin(Float64(lambda1 - lambda2)), Float64(phi2 * fma(Float64(phi2 * phi2), fma(Float64(phi2 * phi2), fma(Float64(phi2 * phi2), -0.0001984126984126984, 0.008333333333333333), -0.16666666666666666), 1.0))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi2, -1350.0], N[ArcTan[N[Sin[lambda1], $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[(N[(phi2 * phi2), $MachinePrecision] * N[(N[(phi2 * phi2), $MachinePrecision] * N[(N[(phi2 * phi2), $MachinePrecision] * -0.0001984126984126984 + 0.008333333333333333), $MachinePrecision] + -0.16666666666666666), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_2 \leq -1350:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \lambda_1}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\phi_2 \cdot \mathsf{fma}\left(\phi_2 \cdot \phi_2, \mathsf{fma}\left(\phi_2 \cdot \phi_2, \mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right), 1\right)}\\
\end{array}
\end{array}
if phi2 < -1350Initial program 73.7%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6416.2
Applied rewrites16.2%
Taylor expanded in phi1 around 0
lower-sin.f6414.5
Applied rewrites14.5%
Taylor expanded in lambda2 around 0
lower-sin.f6415.8
Applied rewrites15.8%
if -1350 < phi2 Initial program 74.8%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6457.2
Applied rewrites57.2%
Taylor expanded in phi1 around 0
lower-sin.f6433.3
Applied rewrites33.3%
Taylor expanded in phi2 around 0
lower-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6433.6
Applied rewrites33.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi2 1.7e+20)
(atan2
(sin (- lambda1 lambda2))
(fma
phi2
(*
(* phi2 phi2)
(fma (* phi2 phi2) 0.008333333333333333 -0.16666666666666666))
phi2))
(atan2
(sin (- lambda2))
(fma phi2 (* (* phi2 phi2) -0.16666666666666666) phi2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= 1.7e+20) {
tmp = atan2(sin((lambda1 - lambda2)), fma(phi2, ((phi2 * phi2) * fma((phi2 * phi2), 0.008333333333333333, -0.16666666666666666)), phi2));
} else {
tmp = atan2(sin(-lambda2), fma(phi2, ((phi2 * phi2) * -0.16666666666666666), phi2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi2 <= 1.7e+20) tmp = atan(sin(Float64(lambda1 - lambda2)), fma(phi2, Float64(Float64(phi2 * phi2) * fma(Float64(phi2 * phi2), 0.008333333333333333, -0.16666666666666666)), phi2)); else tmp = atan(sin(Float64(-lambda2)), fma(phi2, Float64(Float64(phi2 * phi2) * -0.16666666666666666), phi2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi2, 1.7e+20], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[(N[(phi2 * phi2), $MachinePrecision] * N[(N[(phi2 * phi2), $MachinePrecision] * 0.008333333333333333 + -0.16666666666666666), $MachinePrecision]), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[Sin[(-lambda2)], $MachinePrecision] / N[(phi2 * N[(N[(phi2 * phi2), $MachinePrecision] * -0.16666666666666666), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_2 \leq 1.7 \cdot 10^{+20}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2, \left(\phi_2 \cdot \phi_2\right) \cdot \mathsf{fma}\left(\phi_2 \cdot \phi_2, 0.008333333333333333, -0.16666666666666666\right), \phi_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right)}{\mathsf{fma}\left(\phi_2, \left(\phi_2 \cdot \phi_2\right) \cdot -0.16666666666666666, \phi_2\right)}\\
\end{array}
\end{array}
if phi2 < 1.7e20Initial program 76.6%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6454.0
Applied rewrites54.0%
Taylor expanded in phi1 around 0
lower-sin.f6432.2
Applied rewrites32.2%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6431.9
Applied rewrites31.9%
if 1.7e20 < phi2 Initial program 67.0%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6415.7
Applied rewrites15.7%
Taylor expanded in phi1 around 0
lower-sin.f6413.1
Applied rewrites13.1%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6414.2
Applied rewrites14.2%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6415.3
Applied rewrites15.3%
Final simplification28.2%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (fma phi2 (* (* phi2 phi2) -0.16666666666666666) phi2))
(t_1 (atan2 (sin lambda1) t_0)))
(if (<= lambda1 -2.05e-22)
t_1
(if (<= lambda1 1.55e-24) (atan2 (sin (- lambda2)) t_0) t_1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(phi2, ((phi2 * phi2) * -0.16666666666666666), phi2);
double t_1 = atan2(sin(lambda1), t_0);
double tmp;
if (lambda1 <= -2.05e-22) {
tmp = t_1;
} else if (lambda1 <= 1.55e-24) {
tmp = atan2(sin(-lambda2), t_0);
} else {
tmp = t_1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = fma(phi2, Float64(Float64(phi2 * phi2) * -0.16666666666666666), phi2) t_1 = atan(sin(lambda1), t_0) tmp = 0.0 if (lambda1 <= -2.05e-22) tmp = t_1; elseif (lambda1 <= 1.55e-24) tmp = atan(sin(Float64(-lambda2)), t_0); else tmp = t_1; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(phi2 * N[(N[(phi2 * phi2), $MachinePrecision] * -0.16666666666666666), $MachinePrecision] + phi2), $MachinePrecision]}, Block[{t$95$1 = N[ArcTan[N[Sin[lambda1], $MachinePrecision] / t$95$0], $MachinePrecision]}, If[LessEqual[lambda1, -2.05e-22], t$95$1, If[LessEqual[lambda1, 1.55e-24], N[ArcTan[N[Sin[(-lambda2)], $MachinePrecision] / t$95$0], $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\phi_2, \left(\phi_2 \cdot \phi_2\right) \cdot -0.16666666666666666, \phi_2\right)\\
t_1 := \tan^{-1}_* \frac{\sin \lambda_1}{t\_0}\\
\mathbf{if}\;\lambda_1 \leq -2.05 \cdot 10^{-22}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 \leq 1.55 \cdot 10^{-24}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right)}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda1 < -2.05e-22 or 1.55e-24 < lambda1 Initial program 56.0%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6437.1
Applied rewrites37.1%
Taylor expanded in phi1 around 0
lower-sin.f6423.4
Applied rewrites23.4%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6420.6
Applied rewrites20.6%
Taylor expanded in lambda2 around 0
lower-sin.f6422.2
Applied rewrites22.2%
if -2.05e-22 < lambda1 < 1.55e-24Initial program 99.8%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6457.3
Applied rewrites57.3%
Taylor expanded in phi1 around 0
lower-sin.f6434.4
Applied rewrites34.4%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6431.5
Applied rewrites31.5%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6430.8
Applied rewrites30.8%
Final simplification25.8%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin (- lambda1 lambda2)) (fma phi2 (* (* phi2 phi2) -0.16666666666666666) phi2)))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), fma(phi2, ((phi2 * phi2) * -0.16666666666666666), phi2));
}
function code(lambda1, lambda2, phi1, phi2) return atan(sin(Float64(lambda1 - lambda2)), fma(phi2, Float64(Float64(phi2 * phi2) * -0.16666666666666666), phi2)) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[(N[(phi2 * phi2), $MachinePrecision] * -0.16666666666666666), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2, \left(\phi_2 \cdot \phi_2\right) \cdot -0.16666666666666666, \phi_2\right)}
\end{array}
Initial program 74.5%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6445.7
Applied rewrites45.7%
Taylor expanded in phi1 around 0
lower-sin.f6428.0
Applied rewrites28.0%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6425.2
Applied rewrites25.2%
Final simplification25.2%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin lambda1) (fma phi2 (* (* phi2 phi2) -0.16666666666666666) phi2)))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin(lambda1), fma(phi2, ((phi2 * phi2) * -0.16666666666666666), phi2));
}
function code(lambda1, lambda2, phi1, phi2) return atan(sin(lambda1), fma(phi2, Float64(Float64(phi2 * phi2) * -0.16666666666666666), phi2)) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[lambda1], $MachinePrecision] / N[(phi2 * N[(N[(phi2 * phi2), $MachinePrecision] * -0.16666666666666666), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \lambda_1}{\mathsf{fma}\left(\phi_2, \left(\phi_2 \cdot \phi_2\right) \cdot -0.16666666666666666, \phi_2\right)}
\end{array}
Initial program 74.5%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6445.7
Applied rewrites45.7%
Taylor expanded in phi1 around 0
lower-sin.f6428.0
Applied rewrites28.0%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6425.2
Applied rewrites25.2%
Taylor expanded in lambda2 around 0
lower-sin.f6420.8
Applied rewrites20.8%
Final simplification20.8%
herbie shell --seed 2024219
(FPCore (lambda1 lambda2 phi1 phi2)
:name "Bearing on a great circle"
:precision binary64
(atan2 (* (sin (- lambda1 lambda2)) (cos phi2)) (- (* (cos phi1) (sin phi2)) (* (* (sin phi1) (cos phi2)) (cos (- lambda1 lambda2))))))