
(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 24 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 lambda1) (cos lambda2) (* (sin lambda2) (- 0.0 (cos lambda1))))
(cos phi2))
(-
(* (cos phi1) (sin phi2))
(fma
(* (* (cos lambda2) (cos lambda1)) (sin phi1))
(cos phi2)
(* (sin lambda1) (* (sin lambda2) (* (cos phi2) (sin phi1))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma(sin(lambda1), cos(lambda2), (sin(lambda2) * (0.0 - cos(lambda1)))) * cos(phi2)), ((cos(phi1) * sin(phi2)) - fma(((cos(lambda2) * cos(lambda1)) * sin(phi1)), cos(phi2), (sin(lambda1) * (sin(lambda2) * (cos(phi2) * sin(phi1)))))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(fma(sin(lambda1), cos(lambda2), Float64(sin(lambda2) * Float64(0.0 - cos(lambda1)))) * cos(phi2)), Float64(Float64(cos(phi1) * sin(phi2)) - fma(Float64(Float64(cos(lambda2) * cos(lambda1)) * sin(phi1)), cos(phi2), Float64(sin(lambda1) * Float64(sin(lambda2) * Float64(cos(phi2) * sin(phi1))))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[lambda2], $MachinePrecision] * N[(0.0 - N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[(N[Sin[lambda2], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \sin \lambda_2 \cdot \left(0 - \cos \lambda_1\right)\right) \cdot \cos \phi_2}{\cos \phi_1 \cdot \sin \phi_2 - \mathsf{fma}\left(\left(\cos \lambda_2 \cdot \cos \lambda_1\right) \cdot \sin \phi_1, \cos \phi_2, \sin \lambda_1 \cdot \left(\sin \lambda_2 \cdot \left(\cos \phi_2 \cdot \sin \phi_1\right)\right)\right)}
\end{array}
Initial program 82.7%
sin-diffN/A
sub-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
neg-sub0N/A
--lowering--.f6491.7
Applied egg-rr91.7%
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6499.7
Applied egg-rr99.7%
+-commutativeN/A
distribute-lft-inN/A
*-commutativeN/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Applied egg-rr99.7%
Final simplification99.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(atan2
(*
(cos phi2)
(- (* (sin lambda1) (cos lambda2)) (* (cos lambda1) (sin lambda2))))
(-
(* (cos phi1) (sin phi2))
(*
(* (cos phi2) (sin phi1))
(fma (sin lambda2) (sin lambda1) (* (cos lambda2) (cos lambda1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * ((sin(lambda1) * cos(lambda2)) - (cos(lambda1) * sin(lambda2)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * fma(sin(lambda2), sin(lambda1), (cos(lambda2) * cos(lambda1))))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * Float64(Float64(sin(lambda1) * cos(lambda2)) - Float64(cos(lambda1) * sin(lambda2)))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * fma(sin(lambda2), sin(lambda1), Float64(cos(lambda2) * cos(lambda1)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[lambda2], $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[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 \cdot \cos \lambda_2 - \cos \lambda_1 \cdot \sin \lambda_2\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_2 \cdot \cos \lambda_1\right)}
\end{array}
Initial program 82.7%
sin-diffN/A
sub-negN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
neg-sub0N/A
--lowering--.f6491.7
Applied egg-rr91.7%
cos-diffN/A
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
cos-lowering-cos.f6499.7
Applied egg-rr99.7%
Applied egg-rr99.7%
Final simplification99.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1
(atan2
(*
(cos phi2)
(fma
(- 0.0 (cos lambda1))
(sin lambda2)
(* (sin lambda1) (cos lambda2))))
(- t_0 (* (cos phi2) (* (cos lambda1) (sin phi1)))))))
(if (<= lambda1 -4e-6)
t_1
(if (<= lambda1 4.3e-6)
(atan2
(* (cos phi2) (- (* lambda1 (cos lambda2)) (sin lambda2)))
(- t_0 (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))
t_1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = atan2((cos(phi2) * fma((0.0 - cos(lambda1)), sin(lambda2), (sin(lambda1) * cos(lambda2)))), (t_0 - (cos(phi2) * (cos(lambda1) * sin(phi1)))));
double tmp;
if (lambda1 <= -4e-6) {
tmp = t_1;
} else if (lambda1 <= 4.3e-6) {
tmp = atan2((cos(phi2) * ((lambda1 * cos(lambda2)) - sin(lambda2))), (t_0 - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
} else {
tmp = t_1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = atan(Float64(cos(phi2) * fma(Float64(0.0 - cos(lambda1)), sin(lambda2), Float64(sin(lambda1) * cos(lambda2)))), Float64(t_0 - Float64(cos(phi2) * Float64(cos(lambda1) * sin(phi1))))) tmp = 0.0 if (lambda1 <= -4e-6) tmp = t_1; elseif (lambda1 <= 4.3e-6) tmp = atan(Float64(cos(phi2) * Float64(Float64(lambda1 * cos(lambda2)) - sin(lambda2))), Float64(t_0 - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))); 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[Cos[phi2], $MachinePrecision] * N[(N[(0.0 - N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] * N[Sin[lambda2], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -4e-6], t$95$1, If[LessEqual[lambda1, 4.3e-6], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[(lambda1 * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] - N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $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{\cos \phi_2 \cdot \mathsf{fma}\left(0 - \cos \lambda_1, \sin \lambda_2, \sin \lambda_1 \cdot \cos \lambda_2\right)}{t\_0 - \cos \phi_2 \cdot \left(\cos \lambda_1 \cdot \sin \phi_1\right)}\\
\mathbf{if}\;\lambda_1 \leq -4 \cdot 10^{-6}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 \leq 4.3 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\lambda_1 \cdot \cos \lambda_2 - \sin \lambda_2\right)}{t\_0 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda1 < -3.99999999999999982e-6 or 4.30000000000000033e-6 < lambda1 Initial program 61.0%
sin-diffN/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f6481.5
Applied egg-rr81.5%
Taylor expanded in lambda2 around 0
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6481.5
Simplified81.5%
if -3.99999999999999982e-6 < lambda1 < 4.30000000000000033e-6Initial program 99.6%
flip3--N/A
/-lowering-/.f64N/A
difference-cubesN/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f6442.9
Applied egg-rr42.9%
*-commutativeN/A
+-commutativeN/A
+-commutativeN/A
distribute-rgt-inN/A
difference-cubesN/A
+-commutativeN/A
+-commutativeN/A
distribute-rgt-inN/A
flip3--N/A
sub-negN/A
+-commutativeN/A
sub0-negN/A
flip3--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr31.4%
Taylor expanded in lambda1 around 0
+-commutativeN/A
neg-mul-1N/A
neg-mul-1N/A
sin-negN/A
unsub-negN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-negN/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.6
Simplified99.6%
Final simplification91.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (fma (- 0.0 (cos lambda1)) (sin lambda2) (* (sin lambda1) (cos lambda2)))) (- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * fma((0.0 - cos(lambda1)), sin(lambda2), (sin(lambda1) * cos(lambda2)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * fma(Float64(0.0 - cos(lambda1)), sin(lambda2), Float64(sin(lambda1) * cos(lambda2)))), 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[Cos[phi2], $MachinePrecision] * N[(N[(0.0 - N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] * N[Sin[lambda2], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $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]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(0 - \cos \lambda_1, \sin \lambda_2, \sin \lambda_1 \cdot \cos \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)}
\end{array}
Initial program 82.7%
sin-diffN/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f6491.7
Applied egg-rr91.7%
sub0-negN/A
neg-lowering-neg.f64N/A
cos-lowering-cos.f6491.7
Applied egg-rr91.7%
Final simplification91.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (- (* (sin lambda1) (cos lambda2)) (* (cos lambda1) (sin lambda2)))) (- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * ((sin(lambda1) * cos(lambda2)) - (cos(lambda1) * sin(lambda2)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * 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((cos(phi2) * ((sin(lambda1) * cos(lambda2)) - (cos(lambda1) * sin(lambda2)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.cos(phi2) * ((Math.sin(lambda1) * Math.cos(lambda2)) - (Math.cos(lambda1) * Math.sin(lambda2)))), ((Math.cos(phi1) * Math.sin(phi2)) - ((Math.cos(phi2) * Math.sin(phi1)) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.cos(phi2) * ((math.sin(lambda1) * math.cos(lambda2)) - (math.cos(lambda1) * math.sin(lambda2)))), ((math.cos(phi1) * math.sin(phi2)) - ((math.cos(phi2) * math.sin(phi1)) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * Float64(Float64(sin(lambda1) * cos(lambda2)) - Float64(cos(lambda1) * sin(lambda2)))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((cos(phi2) * ((sin(lambda1) * cos(lambda2)) - (cos(lambda1) * sin(lambda2)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[lambda2], $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]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 \cdot \cos \lambda_2 - \cos \lambda_1 \cdot \sin \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)}
\end{array}
Initial program 82.7%
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6491.7
Applied egg-rr91.7%
Final simplification91.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1 (- 0.0 (cos lambda1)))
(t_2
(atan2
(* (cos phi2) (fma t_1 (sin lambda2) (sin lambda1)))
(- t_0 (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))))
(if (<= phi1 -2e-5)
t_2
(if (<= phi1 3.2e-5)
(atan2
(* (cos phi2) (fma t_1 (sin lambda2) (* (sin lambda1) (cos lambda2))))
(- t_0 (* (cos (- lambda2 lambda1)) (* (cos phi2) phi1))))
t_2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = 0.0 - cos(lambda1);
double t_2 = atan2((cos(phi2) * fma(t_1, sin(lambda2), sin(lambda1))), (t_0 - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
double tmp;
if (phi1 <= -2e-5) {
tmp = t_2;
} else if (phi1 <= 3.2e-5) {
tmp = atan2((cos(phi2) * fma(t_1, sin(lambda2), (sin(lambda1) * cos(lambda2)))), (t_0 - (cos((lambda2 - lambda1)) * (cos(phi2) * phi1))));
} else {
tmp = t_2;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = Float64(0.0 - cos(lambda1)) t_2 = atan(Float64(cos(phi2) * fma(t_1, sin(lambda2), sin(lambda1))), Float64(t_0 - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) tmp = 0.0 if (phi1 <= -2e-5) tmp = t_2; elseif (phi1 <= 3.2e-5) tmp = atan(Float64(cos(phi2) * fma(t_1, sin(lambda2), Float64(sin(lambda1) * cos(lambda2)))), Float64(t_0 - Float64(cos(Float64(lambda2 - lambda1)) * Float64(cos(phi2) * phi1)))); else tmp = 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[(0.0 - N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 * N[Sin[lambda2], $MachinePrecision] + N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2e-5], t$95$2, If[LessEqual[phi1, 3.2e-5], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 * N[Sin[lambda2], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \sin \phi_2\\
t_1 := 0 - \cos \lambda_1\\
t_2 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(t\_1, \sin \lambda_2, \sin \lambda_1\right)}{t\_0 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{if}\;\phi_1 \leq -2 \cdot 10^{-5}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_1 \leq 3.2 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(t\_1, \sin \lambda_2, \sin \lambda_1 \cdot \cos \lambda_2\right)}{t\_0 - \cos \left(\lambda_2 - \lambda_1\right) \cdot \left(\cos \phi_2 \cdot \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi1 < -2.00000000000000016e-5 or 3.19999999999999986e-5 < phi1 Initial program 82.6%
sin-diffN/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f6485.1
Applied egg-rr85.1%
Taylor expanded in lambda2 around 0
Simplified83.6%
if -2.00000000000000016e-5 < phi1 < 3.19999999999999986e-5Initial program 82.9%
sin-diffN/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f6499.2
Applied egg-rr99.2%
Taylor expanded in phi1 around 0
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6499.2
Simplified99.2%
Final simplification90.9%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2))))
(t_1
(atan2
(*
(cos phi2)
(fma (- 0.0 (cos lambda1)) (sin lambda2) (sin lambda1)))
(- (* (cos phi1) (sin phi2)) t_0))))
(if (<= phi1 -20000000000000.0)
t_1
(if (<= phi1 3.3e-6)
(atan2
(*
(cos phi2)
(- (* (sin lambda1) (cos lambda2)) (* (cos lambda1) (sin lambda2))))
(- (sin phi2) t_0))
t_1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2));
double t_1 = atan2((cos(phi2) * fma((0.0 - cos(lambda1)), sin(lambda2), sin(lambda1))), ((cos(phi1) * sin(phi2)) - t_0));
double tmp;
if (phi1 <= -20000000000000.0) {
tmp = t_1;
} else if (phi1 <= 3.3e-6) {
tmp = atan2((cos(phi2) * ((sin(lambda1) * cos(lambda2)) - (cos(lambda1) * sin(lambda2)))), (sin(phi2) - t_0));
} else {
tmp = t_1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))) t_1 = atan(Float64(cos(phi2) * fma(Float64(0.0 - cos(lambda1)), sin(lambda2), sin(lambda1))), Float64(Float64(cos(phi1) * sin(phi2)) - t_0)) tmp = 0.0 if (phi1 <= -20000000000000.0) tmp = t_1; elseif (phi1 <= 3.3e-6) tmp = atan(Float64(cos(phi2) * Float64(Float64(sin(lambda1) * cos(lambda2)) - Float64(cos(lambda1) * sin(lambda2)))), Float64(sin(phi2) - t_0)); else tmp = t_1; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[(0.0 - N[Cos[lambda1], $MachinePrecision]), $MachinePrecision] * N[Sin[lambda2], $MachinePrecision] + N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -20000000000000.0], t$95$1, If[LessEqual[phi1, 3.3e-6], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Sin[phi2], $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(0 - \cos \lambda_1, \sin \lambda_2, \sin \lambda_1\right)}{\cos \phi_1 \cdot \sin \phi_2 - t\_0}\\
\mathbf{if}\;\phi_1 \leq -20000000000000:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 3.3 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 \cdot \cos \lambda_2 - \cos \lambda_1 \cdot \sin \lambda_2\right)}{\sin \phi_2 - t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -2e13 or 3.30000000000000017e-6 < phi1 Initial program 82.3%
sin-diffN/A
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
accelerator-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f6484.9
Applied egg-rr84.9%
Taylor expanded in lambda2 around 0
Simplified83.4%
if -2e13 < phi1 < 3.30000000000000017e-6Initial program 83.2%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6483.2
Simplified83.2%
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2
Applied egg-rr99.2%
Final simplification90.9%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1 (* (cos phi2) (sin (- lambda1 lambda2))))
(t_2 (cos (- lambda1 lambda2))))
(if (<= phi1 -20000000000000.0)
(atan2
t_1
(fma (cos phi2) (* (cos (- lambda2 lambda1)) (- 0.0 (sin phi1))) t_0))
(if (<= phi1 2e-6)
(atan2
(*
(cos phi2)
(- (* (sin lambda1) (cos lambda2)) (* (cos lambda1) (sin lambda2))))
(- (sin phi2) (* (* (cos phi2) (sin phi1)) t_2)))
(atan2 t_1 (- t_0 (* (cos phi2) (* (sin phi1) t_2))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = cos(phi2) * sin((lambda1 - lambda2));
double t_2 = cos((lambda1 - lambda2));
double tmp;
if (phi1 <= -20000000000000.0) {
tmp = atan2(t_1, fma(cos(phi2), (cos((lambda2 - lambda1)) * (0.0 - sin(phi1))), t_0));
} else if (phi1 <= 2e-6) {
tmp = atan2((cos(phi2) * ((sin(lambda1) * cos(lambda2)) - (cos(lambda1) * sin(lambda2)))), (sin(phi2) - ((cos(phi2) * sin(phi1)) * t_2)));
} else {
tmp = atan2(t_1, (t_0 - (cos(phi2) * (sin(phi1) * t_2))));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) t_2 = cos(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi1 <= -20000000000000.0) tmp = atan(t_1, fma(cos(phi2), Float64(cos(Float64(lambda2 - lambda1)) * Float64(0.0 - sin(phi1))), t_0)); elseif (phi1 <= 2e-6) tmp = atan(Float64(cos(phi2) * Float64(Float64(sin(lambda1) * cos(lambda2)) - Float64(cos(lambda1) * sin(lambda2)))), Float64(sin(phi2) - Float64(Float64(cos(phi2) * sin(phi1)) * t_2))); else tmp = atan(t_1, Float64(t_0 - Float64(cos(phi2) * Float64(sin(phi1) * 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[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -20000000000000.0], N[ArcTan[t$95$1 / N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision], If[LessEqual[phi1, 2e-6], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Sin[phi2], $MachinePrecision] - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[t$95$1 / N[(t$95$0 - N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \sin \phi_2\\
t_1 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_1 \leq -20000000000000:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\cos \phi_2, \cos \left(\lambda_2 - \lambda_1\right) \cdot \left(0 - \sin \phi_1\right), t\_0\right)}\\
\mathbf{elif}\;\phi_1 \leq 2 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \left(\sin \lambda_1 \cdot \cos \lambda_2 - \cos \lambda_1 \cdot \sin \lambda_2\right)}{\sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot t\_2}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{t\_0 - \cos \phi_2 \cdot \left(\sin \phi_1 \cdot t\_2\right)}\\
\end{array}
\end{array}
if phi1 < -2e13Initial program 88.1%
flip3--N/A
/-lowering-/.f64N/A
difference-cubesN/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f6436.6
Applied egg-rr36.6%
*-commutativeN/A
+-commutativeN/A
+-commutativeN/A
distribute-rgt-inN/A
difference-cubesN/A
+-commutativeN/A
+-commutativeN/A
distribute-rgt-inN/A
flip3--N/A
sub-negN/A
+-commutativeN/A
sub0-negN/A
flip3--N/A
div-invN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr30.3%
Taylor expanded in lambda2 around 0
atan2-lowering-atan2.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
neg-mul-1N/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
sub-negN/A
Simplified88.1%
if -2e13 < phi1 < 1.99999999999999991e-6Initial program 83.2%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6483.2
Simplified83.2%
sin-diffN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
sin-lowering-sin.f6499.2
Applied egg-rr99.2%
if 1.99999999999999991e-6 < phi1 Initial program 77.6%
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6477.6
Applied egg-rr77.6%
Final simplification90.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1 (* (cos phi2) (sin phi1)))
(t_2 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= lambda1 -2.2e-5)
(atan2 t_2 (- t_0 (* (cos lambda1) t_1)))
(if (<= lambda1 51.0)
(atan2 t_2 (- t_0 (* (cos lambda2) t_1)))
(atan2
(* (sin lambda1) (cos phi2))
(- t_0 (* t_1 (cos (- lambda1 lambda2)))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = cos(phi2) * sin(phi1);
double t_2 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (lambda1 <= -2.2e-5) {
tmp = atan2(t_2, (t_0 - (cos(lambda1) * t_1)));
} else if (lambda1 <= 51.0) {
tmp = atan2(t_2, (t_0 - (cos(lambda2) * t_1)));
} else {
tmp = atan2((sin(lambda1) * cos(phi2)), (t_0 - (t_1 * cos((lambda1 - lambda2)))));
}
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) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = cos(phi1) * sin(phi2)
t_1 = cos(phi2) * sin(phi1)
t_2 = cos(phi2) * sin((lambda1 - lambda2))
if (lambda1 <= (-2.2d-5)) then
tmp = atan2(t_2, (t_0 - (cos(lambda1) * t_1)))
else if (lambda1 <= 51.0d0) then
tmp = atan2(t_2, (t_0 - (cos(lambda2) * t_1)))
else
tmp = atan2((sin(lambda1) * cos(phi2)), (t_0 - (t_1 * cos((lambda1 - lambda2)))))
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.sin(phi2);
double t_1 = Math.cos(phi2) * Math.sin(phi1);
double t_2 = Math.cos(phi2) * Math.sin((lambda1 - lambda2));
double tmp;
if (lambda1 <= -2.2e-5) {
tmp = Math.atan2(t_2, (t_0 - (Math.cos(lambda1) * t_1)));
} else if (lambda1 <= 51.0) {
tmp = Math.atan2(t_2, (t_0 - (Math.cos(lambda2) * t_1)));
} else {
tmp = Math.atan2((Math.sin(lambda1) * Math.cos(phi2)), (t_0 - (t_1 * Math.cos((lambda1 - lambda2)))));
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.sin(phi2) t_1 = math.cos(phi2) * math.sin(phi1) t_2 = math.cos(phi2) * math.sin((lambda1 - lambda2)) tmp = 0 if lambda1 <= -2.2e-5: tmp = math.atan2(t_2, (t_0 - (math.cos(lambda1) * t_1))) elif lambda1 <= 51.0: tmp = math.atan2(t_2, (t_0 - (math.cos(lambda2) * t_1))) else: tmp = math.atan2((math.sin(lambda1) * math.cos(phi2)), (t_0 - (t_1 * math.cos((lambda1 - lambda2))))) return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = Float64(cos(phi2) * sin(phi1)) t_2 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (lambda1 <= -2.2e-5) tmp = atan(t_2, Float64(t_0 - Float64(cos(lambda1) * t_1))); elseif (lambda1 <= 51.0) tmp = atan(t_2, Float64(t_0 - Float64(cos(lambda2) * t_1))); else tmp = atan(Float64(sin(lambda1) * cos(phi2)), Float64(t_0 - Float64(t_1 * cos(Float64(lambda1 - lambda2))))); end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * sin(phi2); t_1 = cos(phi2) * sin(phi1); t_2 = cos(phi2) * sin((lambda1 - lambda2)); tmp = 0.0; if (lambda1 <= -2.2e-5) tmp = atan2(t_2, (t_0 - (cos(lambda1) * t_1))); elseif (lambda1 <= 51.0) tmp = atan2(t_2, (t_0 - (cos(lambda2) * t_1))); else tmp = atan2((sin(lambda1) * cos(phi2)), (t_0 - (t_1 * cos((lambda1 - lambda2))))); end tmp_2 = 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[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -2.2e-5], N[ArcTan[t$95$2 / N[(t$95$0 - N[(N[Cos[lambda1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], If[LessEqual[lambda1, 51.0], N[ArcTan[t$95$2 / N[(t$95$0 - N[(N[Cos[lambda2], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(t$95$1 * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_1 \cdot \sin \phi_2\\
t_1 := \cos \phi_2 \cdot \sin \phi_1\\
t_2 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\lambda_1 \leq -2.2 \cdot 10^{-5}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_2}{t\_0 - \cos \lambda_1 \cdot t\_1}\\
\mathbf{elif}\;\lambda_1 \leq 51:\\
\;\;\;\;\tan^{-1}_* \frac{t\_2}{t\_0 - \cos \lambda_2 \cdot t\_1}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \lambda_1 \cdot \cos \phi_2}{t\_0 - t\_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\end{array}
\end{array}
if lambda1 < -2.1999999999999999e-5Initial program 61.5%
Taylor expanded in lambda1 around inf
Simplified61.6%
if -2.1999999999999999e-5 < lambda1 < 51Initial program 99.6%
Taylor expanded in lambda1 around 0
cos-negN/A
cos-lowering-cos.f6499.6
Simplified99.6%
if 51 < lambda1 Initial program 60.5%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f6463.1
Simplified63.1%
Final simplification83.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(-
(* (cos phi1) (sin phi2))
(* (cos lambda1) (* (cos phi2) (sin phi1)))))))
(if (<= phi2 -33000000.0)
t_0
(if (<= phi2 1.65e-68)
(atan2
(fma
(sin lambda1)
(cos lambda2)
(* (sin lambda2) (- 0.0 (cos lambda1))))
(- (sin phi2) (* (sin phi1) (cos (- lambda2 lambda1)))))
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(lambda1) * (cos(phi2) * sin(phi1)))));
double tmp;
if (phi2 <= -33000000.0) {
tmp = t_0;
} else if (phi2 <= 1.65e-68) {
tmp = atan2(fma(sin(lambda1), cos(lambda2), (sin(lambda2) * (0.0 - cos(lambda1)))), (sin(phi2) - (sin(phi1) * cos((lambda2 - lambda1)))));
} 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(cos(lambda1) * Float64(cos(phi2) * sin(phi1))))) tmp = 0.0 if (phi2 <= -33000000.0) tmp = t_0; elseif (phi2 <= 1.65e-68) tmp = atan(fma(sin(lambda1), cos(lambda2), Float64(sin(lambda2) * Float64(0.0 - cos(lambda1)))), Float64(sin(phi2) - Float64(sin(phi1) * cos(Float64(lambda2 - lambda1))))); 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[Cos[lambda1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -33000000.0], t$95$0, If[LessEqual[phi2, 1.65e-68], N[ArcTan[N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[lambda2], $MachinePrecision] * N[(0.0 - N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Sin[phi2], $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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 - \cos \lambda_1 \cdot \left(\cos \phi_2 \cdot \sin \phi_1\right)}\\
\mathbf{if}\;\phi_2 \leq -33000000:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_2 \leq 1.65 \cdot 10^{-68}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \sin \lambda_2 \cdot \left(0 - \cos \lambda_1\right)\right)}{\sin \phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_2 - \lambda_1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi2 < -3.3e7 or 1.6499999999999999e-68 < phi2 Initial program 77.8%
Taylor expanded in lambda1 around inf
Simplified66.8%
if -3.3e7 < phi2 < 1.6499999999999999e-68Initial program 88.7%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6488.5
Simplified88.5%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6488.8
Simplified88.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6488.8
Simplified88.8%
Applied egg-rr91.3%
Final simplification77.9%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* (cos phi2) (sin phi1)))
(t_2 (* (sin lambda1) (cos phi2)))
(t_3 (* (cos phi1) (sin phi2))))
(if (<= lambda1 -1.75e-16)
(atan2 t_2 (- t_3 (* (cos lambda1) t_1)))
(if (<= lambda1 0.009)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(- t_3 (* (sin phi1) t_0)))
(atan2 t_2 (- t_3 (* t_1 t_0)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi2) * sin(phi1);
double t_2 = sin(lambda1) * cos(phi2);
double t_3 = cos(phi1) * sin(phi2);
double tmp;
if (lambda1 <= -1.75e-16) {
tmp = atan2(t_2, (t_3 - (cos(lambda1) * t_1)));
} else if (lambda1 <= 0.009) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (t_3 - (sin(phi1) * t_0)));
} else {
tmp = atan2(t_2, (t_3 - (t_1 * 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) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = cos((lambda1 - lambda2))
t_1 = cos(phi2) * sin(phi1)
t_2 = sin(lambda1) * cos(phi2)
t_3 = cos(phi1) * sin(phi2)
if (lambda1 <= (-1.75d-16)) then
tmp = atan2(t_2, (t_3 - (cos(lambda1) * t_1)))
else if (lambda1 <= 0.009d0) then
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (t_3 - (sin(phi1) * t_0)))
else
tmp = atan2(t_2, (t_3 - (t_1 * t_0)))
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos((lambda1 - lambda2));
double t_1 = Math.cos(phi2) * Math.sin(phi1);
double t_2 = Math.sin(lambda1) * Math.cos(phi2);
double t_3 = Math.cos(phi1) * Math.sin(phi2);
double tmp;
if (lambda1 <= -1.75e-16) {
tmp = Math.atan2(t_2, (t_3 - (Math.cos(lambda1) * t_1)));
} else if (lambda1 <= 0.009) {
tmp = Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (t_3 - (Math.sin(phi1) * t_0)));
} else {
tmp = Math.atan2(t_2, (t_3 - (t_1 * t_0)));
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.cos(phi2) * math.sin(phi1) t_2 = math.sin(lambda1) * math.cos(phi2) t_3 = math.cos(phi1) * math.sin(phi2) tmp = 0 if lambda1 <= -1.75e-16: tmp = math.atan2(t_2, (t_3 - (math.cos(lambda1) * t_1))) elif lambda1 <= 0.009: tmp = math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (t_3 - (math.sin(phi1) * t_0))) else: tmp = math.atan2(t_2, (t_3 - (t_1 * t_0))) return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi2) * sin(phi1)) t_2 = Float64(sin(lambda1) * cos(phi2)) t_3 = Float64(cos(phi1) * sin(phi2)) tmp = 0.0 if (lambda1 <= -1.75e-16) tmp = atan(t_2, Float64(t_3 - Float64(cos(lambda1) * t_1))); elseif (lambda1 <= 0.009) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(t_3 - Float64(sin(phi1) * t_0))); else tmp = atan(t_2, Float64(t_3 - Float64(t_1 * t_0))); end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = cos(phi2) * sin(phi1); t_2 = sin(lambda1) * cos(phi2); t_3 = cos(phi1) * sin(phi2); tmp = 0.0; if (lambda1 <= -1.75e-16) tmp = atan2(t_2, (t_3 - (cos(lambda1) * t_1))); elseif (lambda1 <= 0.009) tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (t_3 - (sin(phi1) * t_0))); else tmp = atan2(t_2, (t_3 - (t_1 * t_0))); end tmp_2 = tmp; end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -1.75e-16], N[ArcTan[t$95$2 / N[(t$95$3 - N[(N[Cos[lambda1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], If[LessEqual[lambda1, 0.009], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(t$95$3 - N[(N[Sin[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[t$95$2 / N[(t$95$3 - N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_2 \cdot \sin \phi_1\\
t_2 := \sin \lambda_1 \cdot \cos \phi_2\\
t_3 := \cos \phi_1 \cdot \sin \phi_2\\
\mathbf{if}\;\lambda_1 \leq -1.75 \cdot 10^{-16}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_2}{t\_3 - \cos \lambda_1 \cdot t\_1}\\
\mathbf{elif}\;\lambda_1 \leq 0.009:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{t\_3 - \sin \phi_1 \cdot t\_0}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_2}{t\_3 - t\_1 \cdot t\_0}\\
\end{array}
\end{array}
if lambda1 < -1.75000000000000009e-16Initial program 63.7%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f6462.2
Simplified62.2%
Taylor expanded in lambda1 around inf
Simplified62.3%
if -1.75000000000000009e-16 < lambda1 < 0.00899999999999999932Initial program 99.7%
Taylor expanded in phi2 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sin-lowering-sin.f6485.4
Simplified85.4%
if 0.00899999999999999932 < lambda1 Initial program 60.5%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f6463.1
Simplified63.1%
Final simplification75.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi1) (sin phi2)))
(t_1
(atan2
(* (sin lambda1) (cos phi2))
(- t_0 (* (cos lambda1) (* (cos phi2) (sin phi1)))))))
(if (<= lambda1 -1.75e-16)
t_1
(if (<= lambda1 0.0095)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(- t_0 (* (sin phi1) (cos (- lambda1 lambda2)))))
t_1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi1) * sin(phi2);
double t_1 = atan2((sin(lambda1) * cos(phi2)), (t_0 - (cos(lambda1) * (cos(phi2) * sin(phi1)))));
double tmp;
if (lambda1 <= -1.75e-16) {
tmp = t_1;
} else if (lambda1 <= 0.0095) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (t_0 - (sin(phi1) * cos((lambda1 - lambda2)))));
} else {
tmp = t_1;
}
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) :: t_1
real(8) :: tmp
t_0 = cos(phi1) * sin(phi2)
t_1 = atan2((sin(lambda1) * cos(phi2)), (t_0 - (cos(lambda1) * (cos(phi2) * sin(phi1)))))
if (lambda1 <= (-1.75d-16)) then
tmp = t_1
else if (lambda1 <= 0.0095d0) then
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (t_0 - (sin(phi1) * cos((lambda1 - lambda2)))))
else
tmp = t_1
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.cos(phi1) * Math.sin(phi2);
double t_1 = Math.atan2((Math.sin(lambda1) * Math.cos(phi2)), (t_0 - (Math.cos(lambda1) * (Math.cos(phi2) * Math.sin(phi1)))));
double tmp;
if (lambda1 <= -1.75e-16) {
tmp = t_1;
} else if (lambda1 <= 0.0095) {
tmp = Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (t_0 - (Math.sin(phi1) * Math.cos((lambda1 - lambda2)))));
} else {
tmp = t_1;
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.cos(phi1) * math.sin(phi2) t_1 = math.atan2((math.sin(lambda1) * math.cos(phi2)), (t_0 - (math.cos(lambda1) * (math.cos(phi2) * math.sin(phi1))))) tmp = 0 if lambda1 <= -1.75e-16: tmp = t_1 elif lambda1 <= 0.0095: tmp = math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (t_0 - (math.sin(phi1) * math.cos((lambda1 - lambda2))))) else: tmp = t_1 return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi1) * sin(phi2)) t_1 = atan(Float64(sin(lambda1) * cos(phi2)), Float64(t_0 - Float64(cos(lambda1) * Float64(cos(phi2) * sin(phi1))))) tmp = 0.0 if (lambda1 <= -1.75e-16) tmp = t_1; elseif (lambda1 <= 0.0095) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(t_0 - Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))); else tmp = t_1; end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = cos(phi1) * sin(phi2); t_1 = atan2((sin(lambda1) * cos(phi2)), (t_0 - (cos(lambda1) * (cos(phi2) * sin(phi1))))); tmp = 0.0; if (lambda1 <= -1.75e-16) tmp = t_1; elseif (lambda1 <= 0.0095) tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (t_0 - (sin(phi1) * cos((lambda1 - lambda2))))); else tmp = t_1; end tmp_2 = 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[Sin[lambda1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[Cos[lambda1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -1.75e-16], t$95$1, If[LessEqual[lambda1, 0.0095], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $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{\sin \lambda_1 \cdot \cos \phi_2}{t\_0 - \cos \lambda_1 \cdot \left(\cos \phi_2 \cdot \sin \phi_1\right)}\\
\mathbf{if}\;\lambda_1 \leq -1.75 \cdot 10^{-16}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\lambda_1 \leq 0.0095:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{t\_0 - \sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if lambda1 < -1.75000000000000009e-16 or 0.00949999999999999976 < lambda1 Initial program 62.2%
Taylor expanded in lambda2 around 0
sin-lowering-sin.f6462.6
Simplified62.6%
Taylor expanded in lambda1 around inf
Simplified62.7%
if -1.75000000000000009e-16 < lambda1 < 0.00949999999999999976Initial program 99.7%
Taylor expanded in phi2 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sin-lowering-sin.f6485.4
Simplified85.4%
Final simplification75.1%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (- (* (cos phi1) (sin phi2)) (* (cos phi2) (* (sin phi1) (cos (- lambda1 lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (cos(phi2) * (sin(phi1) * 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((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (cos(phi2) * (sin(phi1) * cos((lambda1 - lambda2))))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), ((Math.cos(phi1) * Math.sin(phi2)) - (Math.cos(phi2) * (Math.sin(phi1) * Math.cos((lambda1 - lambda2))))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), ((math.cos(phi1) * math.sin(phi2)) - (math.cos(phi2) * (math.sin(phi1) * math.cos((lambda1 - lambda2))))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(cos(phi2) * Float64(sin(phi1) * cos(Float64(lambda1 - lambda2)))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (cos(phi2) * (sin(phi1) * cos((lambda1 - lambda2)))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := 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[phi2], $MachinePrecision] * N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 \cdot \sin \phi_2 - \cos \phi_2 \cdot \left(\sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)}
\end{array}
Initial program 82.7%
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f6482.7
Applied egg-rr82.7%
Final simplification82.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * 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((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), ((Math.cos(phi1) * Math.sin(phi2)) - ((Math.cos(phi2) * Math.sin(phi1)) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), ((math.cos(phi1) * math.sin(phi2)) - ((math.cos(phi2) * math.sin(phi1)) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := 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]
\begin{array}{l}
\\
\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)}
\end{array}
Initial program 82.7%
Final simplification82.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (- (* (cos phi1) (sin phi2)) (* (sin phi1) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (sin(phi1) * 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((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), ((Math.cos(phi1) * Math.sin(phi2)) - (Math.sin(phi1) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), ((math.cos(phi1) * math.sin(phi2)) - (math.sin(phi1) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := 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]
\begin{array}{l}
\\
\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)}
\end{array}
Initial program 82.7%
Taylor expanded in phi2 around 0
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
--lowering--.f64N/A
sin-lowering-sin.f6469.3
Simplified69.3%
Final simplification69.3%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (- (sin phi2) (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * sin((lambda1 - lambda2))), (sin(phi2) - ((cos(phi2) * sin(phi1)) * 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((cos(phi2) * sin((lambda1 - lambda2))), (sin(phi2) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (Math.sin(phi2) - ((Math.cos(phi2) * Math.sin(phi1)) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (math.sin(phi2) - ((math.cos(phi2) * math.sin(phi1)) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(sin(phi2) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (sin(phi2) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Sin[phi2], $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{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Initial program 82.7%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6469.1
Simplified69.1%
Final simplification69.1%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (- (sin phi2) (* (sin phi1) (cos (- lambda2 lambda1))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * sin((lambda1 - lambda2))), (sin(phi2) - (sin(phi1) * cos((lambda2 - lambda1)))));
}
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((cos(phi2) * sin((lambda1 - lambda2))), (sin(phi2) - (sin(phi1) * cos((lambda2 - lambda1)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (Math.sin(phi2) - (Math.sin(phi1) * Math.cos((lambda2 - lambda1)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (math.sin(phi2) - (math.sin(phi1) * math.cos((lambda2 - lambda1)))))
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(sin(phi2) - Float64(sin(phi1) * cos(Float64(lambda2 - lambda1))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), (sin(phi2) - (sin(phi1) * cos((lambda2 - lambda1))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Sin[phi2], $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\sin \phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_2 - \lambda_1\right)}
\end{array}
Initial program 82.7%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6469.1
Simplified69.1%
Taylor expanded in phi2 around 0
*-lowering-*.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
sin-lowering-sin.f6468.7
Simplified68.7%
Final simplification68.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin (- lambda1 lambda2)) (- (* (cos phi1) (sin phi2)) (* (sin phi1) (cos (- lambda2 lambda1))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), ((cos(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda2 - lambda1)))));
}
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(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda2 - lambda1)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2(Math.sin((lambda1 - lambda2)), ((Math.cos(phi1) * Math.sin(phi2)) - (Math.sin(phi1) * Math.cos((lambda2 - lambda1)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2(math.sin((lambda1 - lambda2)), ((math.cos(phi1) * math.sin(phi2)) - (math.sin(phi1) * math.cos((lambda2 - lambda1)))))
function code(lambda1, lambda2, phi1, phi2) return atan(sin(Float64(lambda1 - lambda2)), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(sin(phi1) * cos(Float64(lambda2 - lambda1))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2(sin((lambda1 - lambda2)), ((cos(phi1) * sin(phi2)) - (sin(phi1) * cos((lambda2 - lambda1))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := 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[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 \cdot \sin \phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_2 - \lambda_1\right)}
\end{array}
Initial program 82.7%
flip3--N/A
/-lowering-/.f64N/A
difference-cubesN/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f6429.9
Applied egg-rr29.9%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6454.9
Simplified54.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
sub-negN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
neg-mul-1N/A
cos-lowering-cos.f64N/A
neg-mul-1N/A
sub-negN/A
--lowering--.f6455.1
Simplified55.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 -5.0)
(atan2 t_0 (- (sin phi2) (* (cos lambda1) (sin phi1))))
(atan2
t_0
(fma
phi2
(fma -0.16666666666666666 (* phi2 phi2) 1.0)
(* (cos (- lambda2 lambda1)) (- 0.0 (sin phi1))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= -5.0) {
tmp = atan2(t_0, (sin(phi2) - (cos(lambda1) * sin(phi1))));
} else {
tmp = atan2(t_0, fma(phi2, fma(-0.16666666666666666, (phi2 * phi2), 1.0), (cos((lambda2 - lambda1)) * (0.0 - sin(phi1)))));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi2 <= -5.0) tmp = atan(t_0, Float64(sin(phi2) - Float64(cos(lambda1) * sin(phi1)))); else tmp = atan(t_0, fma(phi2, fma(-0.16666666666666666, Float64(phi2 * phi2), 1.0), Float64(cos(Float64(lambda2 - lambda1)) * Float64(0.0 - sin(phi1))))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -5.0], N[ArcTan[t$95$0 / N[(N[Sin[phi2], $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[t$95$0 / N[(phi2 * N[(-0.16666666666666666 * N[(phi2 * phi2), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq -5:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\sin \phi_2 - \cos \lambda_1 \cdot \sin \phi_1}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(-0.16666666666666666, \phi_2 \cdot \phi_2, 1\right), \cos \left(\lambda_2 - \lambda_1\right) \cdot \left(0 - \sin \phi_1\right)\right)}\\
\end{array}
\end{array}
if phi2 < -5Initial program 77.2%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6441.1
Simplified41.1%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6415.4
Simplified15.4%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6416.9
Simplified16.9%
Taylor expanded in lambda2 around 0
cos-negN/A
cos-lowering-cos.f6416.7
Simplified16.7%
if -5 < phi2 Initial program 84.5%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6478.0
Simplified78.0%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6466.5
Simplified66.5%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6466.5
Simplified66.5%
Taylor expanded in phi2 around 0
sub-negN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
*-lowering-*.f64N/A
sub-negN/A
neg-mul-1N/A
cos-lowering-cos.f64N/A
neg-mul-1N/A
sub-negN/A
--lowering--.f64N/A
sin-negN/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f6465.8
Simplified65.8%
Final simplification53.9%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin (- lambda1 lambda2)) (- (sin phi2) (* (sin phi1) (cos (- lambda2 lambda1))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), (sin(phi2) - (sin(phi1) * cos((lambda2 - lambda1)))));
}
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)), (sin(phi2) - (sin(phi1) * cos((lambda2 - lambda1)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2(Math.sin((lambda1 - lambda2)), (Math.sin(phi2) - (Math.sin(phi1) * Math.cos((lambda2 - lambda1)))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2(math.sin((lambda1 - lambda2)), (math.sin(phi2) - (math.sin(phi1) * math.cos((lambda2 - lambda1)))))
function code(lambda1, lambda2, phi1, phi2) return atan(sin(Float64(lambda1 - lambda2)), Float64(sin(phi2) - Float64(sin(phi1) * cos(Float64(lambda2 - lambda1))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2(sin((lambda1 - lambda2)), (sin(phi2) - (sin(phi1) * cos((lambda2 - lambda1))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[Sin[phi2], $MachinePrecision] - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\sin \phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_2 - \lambda_1\right)}
\end{array}
Initial program 82.7%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6469.1
Simplified69.1%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6454.1
Simplified54.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6454.5
Simplified54.5%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 1300000.0)
(atan2
t_0
(fma
phi2
(fma
(* phi2 phi2)
(fma 0.008333333333333333 (* phi2 phi2) -0.16666666666666666)
1.0)
(* (cos (- lambda2 lambda1)) (- 0.0 (sin phi1)))))
(atan2 t_0 (sin phi2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 1300000.0) {
tmp = atan2(t_0, fma(phi2, fma((phi2 * phi2), fma(0.008333333333333333, (phi2 * phi2), -0.16666666666666666), 1.0), (cos((lambda2 - lambda1)) * (0.0 - sin(phi1)))));
} else {
tmp = atan2(t_0, sin(phi2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi2 <= 1300000.0) tmp = atan(t_0, fma(phi2, fma(Float64(phi2 * phi2), fma(0.008333333333333333, Float64(phi2 * phi2), -0.16666666666666666), 1.0), Float64(cos(Float64(lambda2 - lambda1)) * Float64(0.0 - sin(phi1))))); else tmp = atan(t_0, sin(phi2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 1300000.0], N[ArcTan[t$95$0 / N[(phi2 * N[(N[(phi2 * phi2), $MachinePrecision] * N[(0.008333333333333333 * N[(phi2 * phi2), $MachinePrecision] + -0.16666666666666666), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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}\;\phi_2 \leq 1300000:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\phi_2, \mathsf{fma}\left(\phi_2 \cdot \phi_2, \mathsf{fma}\left(0.008333333333333333, \phi_2 \cdot \phi_2, -0.16666666666666666\right), 1\right), \cos \left(\lambda_2 - \lambda_1\right) \cdot \left(0 - \sin \phi_1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\sin \phi_2}\\
\end{array}
\end{array}
if phi2 < 1.3e6Initial program 86.6%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6474.6
Simplified74.6%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6465.9
Simplified65.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6466.4
Simplified66.4%
Taylor expanded in phi2 around 0
sub-negN/A
accelerator-lowering-fma.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
*-lowering-*.f64N/A
sub-negN/A
neg-mul-1N/A
cos-lowering-cos.f64N/A
neg-mul-1N/A
sub-negN/A
--lowering--.f64N/A
sin-negN/A
neg-sub0N/A
--lowering--.f64N/A
Simplified65.5%
if 1.3e6 < phi2 Initial program 71.3%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6452.9
Simplified52.9%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6419.5
Simplified19.5%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6419.5
Simplified19.5%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6419.4
Simplified19.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 1300000.0)
(atan2 t_0 (- phi2 (* (sin phi1) (cos (- lambda2 lambda1)))))
(atan2 t_0 (sin phi2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 1300000.0) {
tmp = atan2(t_0, (phi2 - (sin(phi1) * cos((lambda2 - lambda1)))));
} 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 (phi2 <= 1300000.0d0) then
tmp = atan2(t_0, (phi2 - (sin(phi1) * cos((lambda2 - lambda1)))))
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 (phi2 <= 1300000.0) {
tmp = Math.atan2(t_0, (phi2 - (Math.sin(phi1) * Math.cos((lambda2 - lambda1)))));
} 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 phi2 <= 1300000.0: tmp = math.atan2(t_0, (phi2 - (math.sin(phi1) * math.cos((lambda2 - lambda1))))) 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 (phi2 <= 1300000.0) tmp = atan(t_0, Float64(phi2 - Float64(sin(phi1) * cos(Float64(lambda2 - lambda1))))); 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 (phi2 <= 1300000.0) tmp = atan2(t_0, (phi2 - (sin(phi1) * cos((lambda2 - lambda1))))); 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[phi2, 1300000.0], N[ArcTan[t$95$0 / N[(phi2 - N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $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}\;\phi_2 \leq 1300000:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\phi_2 - \sin \phi_1 \cdot \cos \left(\lambda_2 - \lambda_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\sin \phi_2}\\
\end{array}
\end{array}
if phi2 < 1.3e6Initial program 86.6%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6474.6
Simplified74.6%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6465.9
Simplified65.9%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6466.4
Simplified66.4%
Taylor expanded in phi2 around 0
sub-negN/A
distribute-rgt-neg-inN/A
sub-negN/A
remove-double-negN/A
distribute-neg-inN/A
+-commutativeN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
sub-negN/A
distribute-rgt-neg-inN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
sub-negN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
+-commutativeN/A
Simplified65.5%
if 1.3e6 < phi2 Initial program 71.3%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6452.9
Simplified52.9%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6419.5
Simplified19.5%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6419.5
Simplified19.5%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6419.4
Simplified19.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 9.5e-38)
(atan2 t_0 (* (cos (- lambda2 lambda1)) (- 0.0 (sin phi1))))
(atan2 t_0 (sin phi2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 9.5e-38) {
tmp = atan2(t_0, (cos((lambda2 - lambda1)) * (0.0 - sin(phi1))));
} 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 (phi2 <= 9.5d-38) then
tmp = atan2(t_0, (cos((lambda2 - lambda1)) * (0.0d0 - sin(phi1))))
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 (phi2 <= 9.5e-38) {
tmp = Math.atan2(t_0, (Math.cos((lambda2 - lambda1)) * (0.0 - Math.sin(phi1))));
} 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 phi2 <= 9.5e-38: tmp = math.atan2(t_0, (math.cos((lambda2 - lambda1)) * (0.0 - math.sin(phi1)))) 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 (phi2 <= 9.5e-38) tmp = atan(t_0, Float64(cos(Float64(lambda2 - lambda1)) * Float64(0.0 - sin(phi1)))); 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 (phi2 <= 9.5e-38) tmp = atan2(t_0, (cos((lambda2 - lambda1)) * (0.0 - sin(phi1)))); 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[phi2, 9.5e-38], N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * N[(0.0 - N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $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}\;\phi_2 \leq 9.5 \cdot 10^{-38}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_2 - \lambda_1\right) \cdot \left(0 - \sin \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\sin \phi_2}\\
\end{array}
\end{array}
if phi2 < 9.5000000000000009e-38Initial program 85.9%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6473.4
Simplified73.4%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6464.7
Simplified64.7%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6465.2
Simplified65.2%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
sin-negN/A
*-lowering-*.f64N/A
sub-negN/A
neg-mul-1N/A
cos-lowering-cos.f64N/A
neg-mul-1N/A
sub-negN/A
--lowering--.f64N/A
sin-negN/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f6462.6
Simplified62.6%
if 9.5000000000000009e-38 < phi2 Initial program 75.1%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6458.5
Simplified58.5%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6428.7
Simplified28.7%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6428.7
Simplified28.7%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6426.7
Simplified26.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin (- lambda1 lambda2)) (sin phi2)))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), sin(phi2));
}
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)), sin(phi2))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2(Math.sin((lambda1 - lambda2)), Math.sin(phi2));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2(math.sin((lambda1 - lambda2)), math.sin(phi2))
function code(lambda1, lambda2, phi1, phi2) return atan(sin(Float64(lambda1 - lambda2)), sin(phi2)) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2(sin((lambda1 - lambda2)), sin(phi2)); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\sin \phi_2}
\end{array}
Initial program 82.7%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6469.1
Simplified69.1%
Taylor expanded in phi2 around 0
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
sin-lowering-sin.f64N/A
+-commutativeN/A
distribute-neg-inN/A
mul-1-negN/A
remove-double-negN/A
sub-negN/A
--lowering--.f6454.1
Simplified54.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
cos-lowering-cos.f64N/A
mul-1-negN/A
sub-negN/A
--lowering--.f6454.5
Simplified54.5%
Taylor expanded in phi1 around 0
sin-lowering-sin.f6432.5
Simplified32.5%
herbie shell --seed 2024199
(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))))))