
(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 33 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
(*
(cos phi2)
(fma (cos lambda1) (sin (- lambda2)) (* (cos lambda2) (sin lambda1))))
(fma
(cos phi1)
(sin phi2)
(*
(cos phi2)
(*
(fma (sin lambda1) (sin lambda2) (* (cos lambda1) (cos lambda2)))
(- (sin phi1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((cos(phi2) * fma(cos(lambda1), sin(-lambda2), (cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), (cos(phi2) * (fma(sin(lambda1), sin(lambda2), (cos(lambda1) * cos(lambda2))) * -sin(phi1)))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * fma(cos(lambda1), sin(Float64(-lambda2)), Float64(cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), Float64(cos(phi2) * Float64(fma(sin(lambda1), sin(lambda2), Float64(cos(lambda1) * cos(lambda2))) * Float64(-sin(phi1)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[(-lambda2)], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\cos \lambda_1, \sin \left(-\lambda_2\right), \cos \lambda_2 \cdot \sin \lambda_1\right)}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, \cos \phi_2 \cdot \left(\mathsf{fma}\left(\sin \lambda_1, \sin \lambda_2, \cos \lambda_1 \cdot \cos \lambda_2\right) \cdot \left(-\sin \phi_1\right)\right)\right)}
\end{array}
Initial program 79.2%
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.f6489.8
Applied egg-rr89.8%
cos-diffN/A
+-commutativeN/A
lift-sin.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sin.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-*.f6499.8
Applied egg-rr99.8%
Taylor expanded in lambda2 around 0
lower-atan2.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
lower-cos.f64N/A
neg-mul-1N/A
lower-sin.f64N/A
neg-mul-1N/A
lower-neg.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
Simplified99.8%
Final simplification99.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos lambda2) (sin lambda1)))
(t_1 (* (cos phi1) (sin phi2)))
(t_2 (- t_1 (* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))
(t_3 (sin (- lambda2)))
(t_4 (* (cos phi2) (fma t_3 (cos lambda1) t_0))))
(if (<= phi2 -0.0024)
(atan2 t_4 t_2)
(if (<= phi2 2.8e-8)
(atan2
t_4
(-
t_1
(*
(sin phi1)
(fma (cos lambda2) (cos lambda1) (* (sin lambda1) (sin lambda2))))))
(atan2
(+ (* (cos phi2) t_0) (* (cos phi2) (* (cos lambda1) t_3)))
t_2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(lambda2) * sin(lambda1);
double t_1 = cos(phi1) * sin(phi2);
double t_2 = t_1 - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)));
double t_3 = sin(-lambda2);
double t_4 = cos(phi2) * fma(t_3, cos(lambda1), t_0);
double tmp;
if (phi2 <= -0.0024) {
tmp = atan2(t_4, t_2);
} else if (phi2 <= 2.8e-8) {
tmp = atan2(t_4, (t_1 - (sin(phi1) * fma(cos(lambda2), cos(lambda1), (sin(lambda1) * sin(lambda2))))));
} else {
tmp = atan2(((cos(phi2) * t_0) + (cos(phi2) * (cos(lambda1) * t_3))), t_2);
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(lambda2) * sin(lambda1)) t_1 = Float64(cos(phi1) * sin(phi2)) t_2 = Float64(t_1 - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2)))) t_3 = sin(Float64(-lambda2)) t_4 = Float64(cos(phi2) * fma(t_3, cos(lambda1), t_0)) tmp = 0.0 if (phi2 <= -0.0024) tmp = atan(t_4, t_2); elseif (phi2 <= 2.8e-8) tmp = atan(t_4, Float64(t_1 - Float64(sin(phi1) * fma(cos(lambda2), cos(lambda1), Float64(sin(lambda1) * sin(lambda2)))))); else tmp = atan(Float64(Float64(cos(phi2) * t_0) + Float64(cos(phi2) * Float64(cos(lambda1) * t_3))), t_2); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[(N[(N[Cos[phi2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[(-lambda2)], $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$3 * N[Cos[lambda1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -0.0024], N[ArcTan[t$95$4 / t$95$2], $MachinePrecision], If[LessEqual[phi2, 2.8e-8], N[ArcTan[t$95$4 / N[(t$95$1 - 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[N[(N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[lambda1], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2], $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \lambda_2 \cdot \sin \lambda_1\\
t_1 := \cos \phi_1 \cdot \sin \phi_2\\
t_2 := t\_1 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot \cos \left(\lambda_1 - \lambda_2\right)\\
t_3 := \sin \left(-\lambda_2\right)\\
t_4 := \cos \phi_2 \cdot \mathsf{fma}\left(t\_3, \cos \lambda_1, t\_0\right)\\
\mathbf{if}\;\phi_2 \leq -0.0024:\\
\;\;\;\;\tan^{-1}_* \frac{t\_4}{t\_2}\\
\mathbf{elif}\;\phi_2 \leq 2.8 \cdot 10^{-8}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_4}{t\_1 - \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{\cos \phi_2 \cdot t\_0 + \cos \phi_2 \cdot \left(\cos \lambda_1 \cdot t\_3\right)}{t\_2}\\
\end{array}
\end{array}
if phi2 < -0.00239999999999999979Initial program 79.3%
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.f6487.4
Applied egg-rr87.4%
if -0.00239999999999999979 < phi2 < 2.7999999999999999e-8Initial program 82.8%
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.f6492.6
Applied egg-rr92.6%
cos-diffN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-sin.f64N/A
lower-*.f64N/A
lower-sin.f6499.9
Applied egg-rr99.9%
Taylor expanded in phi2 around 0
lower-sin.f6499.9
Simplified99.9%
if 2.7999999999999999e-8 < phi2 Initial program 73.8%
lift--.f64N/A
lift-sin.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
distribute-rgt-inN/A
lower-+.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
Applied egg-rr87.4%
Final simplification93.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(fma
(sin (- lambda2))
(cos lambda1)
(* (cos lambda2) (sin lambda1))))
(fma
(cos phi1)
(sin phi2)
(* (- (cos phi2)) (* (cos lambda2) (sin phi1)))))))
(if (<= lambda2 -500000000.0)
t_0
(if (<= lambda2 2.2e+26)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(-
(* (cos phi1) (sin phi2))
(*
(* (cos phi2) (sin phi1))
(fma (sin lambda2) (sin lambda1) (* (cos lambda1) (cos lambda2))))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), (-cos(phi2) * (cos(lambda2) * sin(phi1)))));
double tmp;
if (lambda2 <= -500000000.0) {
tmp = t_0;
} else if (lambda2 <= 2.2e+26) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * fma(sin(lambda2), sin(lambda1), (cos(lambda1) * cos(lambda2))))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), Float64(Float64(-cos(phi2)) * Float64(cos(lambda2) * sin(phi1))))) tmp = 0.0 if (lambda2 <= -500000000.0) tmp = t_0; elseif (lambda2 <= 2.2e+26) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * fma(sin(lambda2), sin(lambda1), Float64(cos(lambda1) * cos(lambda2)))))); 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[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + N[((-N[Cos[phi2], $MachinePrecision]) * N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -500000000.0], t$95$0, If[LessEqual[lambda2, 2.2e+26], 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[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, \left(-\cos \phi_2\right) \cdot \left(\cos \lambda_2 \cdot \sin \phi_1\right)\right)}\\
\mathbf{if}\;\lambda_2 \leq -500000000:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_2 \leq 2.2 \cdot 10^{+26}:\\
\;\;\;\;\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 \mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_1 \cdot \cos \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda2 < -5e8 or 2.20000000000000007e26 < lambda2 Initial program 56.5%
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.f6479.8
Applied egg-rr79.8%
Taylor expanded in lambda1 around 0
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
cos-negN/A
lower-cos.f64N/A
lower-neg.f64N/A
lower-cos.f6479.7
Simplified79.7%
if -5e8 < lambda2 < 2.20000000000000007e26Initial program 98.0%
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.f6498.1
Applied egg-rr98.1%
Final simplification89.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(fma
(sin (- lambda2))
(cos lambda1)
(* (cos lambda2) (sin lambda1))))
(fma
(cos phi1)
(sin phi2)
(* (- (cos phi2)) (* (cos lambda2) (sin phi1)))))))
(if (<= lambda2 -0.00135)
t_0
(if (<= lambda2 0.00029)
(atan2
(*
(cos phi2)
(fma
lambda2
(fma
(cos lambda1)
(fma lambda2 (* lambda2 0.16666666666666666) -1.0)
(* (sin lambda1) (* lambda2 -0.5)))
(sin lambda1)))
(-
(* (cos phi1) (sin phi2))
(* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2)))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), (-cos(phi2) * (cos(lambda2) * sin(phi1)))));
double tmp;
if (lambda2 <= -0.00135) {
tmp = t_0;
} else if (lambda2 <= 0.00029) {
tmp = atan2((cos(phi2) * fma(lambda2, fma(cos(lambda1), fma(lambda2, (lambda2 * 0.16666666666666666), -1.0), (sin(lambda1) * (lambda2 * -0.5))), sin(lambda1))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), Float64(Float64(-cos(phi2)) * Float64(cos(lambda2) * sin(phi1))))) tmp = 0.0 if (lambda2 <= -0.00135) tmp = t_0; elseif (lambda2 <= 0.00029) tmp = atan(Float64(cos(phi2) * fma(lambda2, fma(cos(lambda1), fma(lambda2, Float64(lambda2 * 0.16666666666666666), -1.0), Float64(sin(lambda1) * Float64(lambda2 * -0.5))), sin(lambda1))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))); 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[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + N[((-N[Cos[phi2], $MachinePrecision]) * N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -0.00135], t$95$0, If[LessEqual[lambda2, 0.00029], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(lambda2 * N[(N[Cos[lambda1], $MachinePrecision] * N[(lambda2 * N[(lambda2 * 0.16666666666666666), $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[(lambda2 * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Sin[lambda1], $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], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, \left(-\cos \phi_2\right) \cdot \left(\cos \lambda_2 \cdot \sin \phi_1\right)\right)}\\
\mathbf{if}\;\lambda_2 \leq -0.00135:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_2 \leq 0.00029:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\lambda_2, \mathsf{fma}\left(\cos \lambda_1, \mathsf{fma}\left(\lambda_2, \lambda_2 \cdot 0.16666666666666666, -1\right), \sin \lambda_1 \cdot \left(\lambda_2 \cdot -0.5\right)\right), \sin \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{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda2 < -0.0013500000000000001 or 2.9e-4 < lambda2 Initial program 59.7%
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.f6480.6
Applied egg-rr80.6%
Taylor expanded in lambda1 around 0
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
cos-negN/A
lower-cos.f64N/A
lower-neg.f64N/A
lower-cos.f6480.5
Simplified80.5%
if -0.0013500000000000001 < lambda2 < 2.9e-4Initial program 99.0%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
Simplified99.1%
Final simplification89.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(fma
(sin (- lambda2))
(cos lambda1)
(* (cos lambda2) (sin lambda1))))
(fma
(cos phi1)
(sin phi2)
(* (sin phi1) (* (cos lambda1) (- (cos phi2))))))))
(if (<= lambda1 -6.8e-13)
t_0
(if (<= lambda1 2.35e-26)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(-
(* (cos phi1) (sin phi2))
(*
(* (cos phi2) (sin phi1))
(fma lambda1 (sin lambda2) (cos lambda2)))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), (sin(phi1) * (cos(lambda1) * -cos(phi2)))));
double tmp;
if (lambda1 <= -6.8e-13) {
tmp = t_0;
} else if (lambda1 <= 2.35e-26) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * fma(lambda1, sin(lambda2), cos(lambda2)))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), fma(cos(phi1), sin(phi2), Float64(sin(phi1) * Float64(cos(lambda1) * Float64(-cos(phi2)))))) tmp = 0.0 if (lambda1 <= -6.8e-13) tmp = t_0; elseif (lambda1 <= 2.35e-26) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * fma(lambda1, sin(lambda2), cos(lambda2))))); 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[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + N[(N[Sin[phi1], $MachinePrecision] * N[(N[Cos[lambda1], $MachinePrecision] * (-N[Cos[phi2], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda1, -6.8e-13], t$95$0, If[LessEqual[lambda1, 2.35e-26], 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[(lambda1 * N[Sin[lambda2], $MachinePrecision] + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, \sin \phi_1 \cdot \left(\cos \lambda_1 \cdot \left(-\cos \phi_2\right)\right)\right)}\\
\mathbf{if}\;\lambda_1 \leq -6.8 \cdot 10^{-13}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_1 \leq 2.35 \cdot 10^{-26}:\\
\;\;\;\;\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 \mathsf{fma}\left(\lambda_1, \sin \lambda_2, \cos \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda1 < -6.80000000000000031e-13 or 2.34999999999999995e-26 < lambda1 Initial program 63.7%
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.f6482.2
Applied egg-rr82.2%
Taylor expanded in lambda2 around 0
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
associate-*r*N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-neg.f64N/A
lower-sin.f6482.0
Simplified82.0%
if -6.80000000000000031e-13 < lambda1 < 2.34999999999999995e-26Initial program 99.8%
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.f6499.8
Simplified99.8%
Final simplification89.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (fma (sin (- lambda2)) (cos lambda1) (* (cos lambda2) (sin lambda1)))) (- (* (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(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), 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[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[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[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \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)}
\end{array}
Initial program 79.2%
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.f6489.8
Applied egg-rr89.8%
Final simplification89.8%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (* (cos phi2) (fma (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) * fma(sin(lambda1), cos(lambda2), (cos(lambda1) * sin(-lambda2)))), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return atan(Float64(cos(phi2) * fma(sin(lambda1), cos(lambda2), Float64(cos(lambda1) * sin(Float64(-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[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $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 \mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \cos \lambda_1 \cdot \sin \left(-\lambda_2\right)\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 79.2%
sin-diffN/A
sub-negN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-neg.f6489.7
Applied egg-rr89.7%
Final simplification89.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= phi1 -8.5e-6)
(atan2
t_1
(fma (cos phi1) (sin phi2) (- (* (cos phi2) (* (sin phi1) t_0)))))
(if (<= phi1 2e-28)
(atan2
(*
(cos phi2)
(fma (sin lambda1) (cos lambda2) (* (cos lambda1) (sin (- lambda2)))))
(- (sin phi2) (* t_0 (* (cos phi2) phi1))))
(atan2
t_1
(- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) t_0)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (phi1 <= -8.5e-6) {
tmp = atan2(t_1, fma(cos(phi1), sin(phi2), -(cos(phi2) * (sin(phi1) * t_0))));
} else if (phi1 <= 2e-28) {
tmp = atan2((cos(phi2) * fma(sin(lambda1), cos(lambda2), (cos(lambda1) * sin(-lambda2)))), (sin(phi2) - (t_0 * (cos(phi2) * phi1))));
} else {
tmp = atan2(t_1, ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * t_0)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (phi1 <= -8.5e-6) tmp = atan(t_1, fma(cos(phi1), sin(phi2), Float64(-Float64(cos(phi2) * Float64(sin(phi1) * t_0))))); elseif (phi1 <= 2e-28) tmp = atan(Float64(cos(phi2) * fma(sin(lambda1), cos(lambda2), Float64(cos(lambda1) * sin(Float64(-lambda2))))), Float64(sin(phi2) - Float64(t_0 * Float64(cos(phi2) * phi1)))); else tmp = atan(t_1, Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * t_0))); 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[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -8.5e-6], N[ArcTan[t$95$1 / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + (-N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision])), $MachinePrecision]], $MachinePrecision], If[LessEqual[phi1, 2e-28], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[(-lambda2)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Sin[phi2], $MachinePrecision] - N[(t$95$0 * N[(N[Cos[phi2], $MachinePrecision] * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[t$95$1 / 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]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_1 \leq -8.5 \cdot 10^{-6}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, -\cos \phi_2 \cdot \left(\sin \phi_1 \cdot t\_0\right)\right)}\\
\mathbf{elif}\;\phi_1 \leq 2 \cdot 10^{-28}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \cos \lambda_1 \cdot \sin \left(-\lambda_2\right)\right)}{\sin \phi_2 - t\_0 \cdot \left(\cos \phi_2 \cdot \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot t\_0}\\
\end{array}
\end{array}
if phi1 < -8.4999999999999999e-6Initial program 68.2%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower--.f64N/A
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6468.2
Simplified68.2%
if -8.4999999999999999e-6 < phi1 < 1.99999999999999994e-28Initial program 82.2%
sin-diffN/A
sub-negN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-neg.f6499.8
Applied egg-rr99.8%
Taylor expanded in phi1 around 0
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-sin.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f6499.8
Simplified99.8%
if 1.99999999999999994e-28 < phi1 Initial program 83.7%
Final simplification88.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= phi1 -1e-62)
(atan2
t_1
(fma (cos phi1) (sin phi2) (- (* (cos phi2) (* (sin phi1) t_0)))))
(if (<= phi1 2.9e-25)
(atan2
(*
(cos phi2)
(fma (sin (- lambda2)) (cos lambda1) (* (cos lambda2) (sin lambda1))))
(sin phi2))
(atan2
t_1
(- (* (cos phi1) (sin phi2)) (* (* (cos phi2) (sin phi1)) t_0)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (phi1 <= -1e-62) {
tmp = atan2(t_1, fma(cos(phi1), sin(phi2), -(cos(phi2) * (sin(phi1) * t_0))));
} else if (phi1 <= 2.9e-25) {
tmp = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), sin(phi2));
} else {
tmp = atan2(t_1, ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * t_0)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (phi1 <= -1e-62) tmp = atan(t_1, fma(cos(phi1), sin(phi2), Float64(-Float64(cos(phi2) * Float64(sin(phi1) * t_0))))); elseif (phi1 <= 2.9e-25) tmp = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), sin(phi2)); else tmp = atan(t_1, Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * t_0))); 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[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1e-62], N[ArcTan[t$95$1 / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + (-N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision])), $MachinePrecision]], $MachinePrecision], If[LessEqual[phi1, 2.9e-25], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], N[ArcTan[t$95$1 / 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]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_1 \leq -1 \cdot 10^{-62}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, -\cos \phi_2 \cdot \left(\sin \phi_1 \cdot t\_0\right)\right)}\\
\mathbf{elif}\;\phi_1 \leq 2.9 \cdot 10^{-25}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\cos \phi_1 \cdot \sin \phi_2 - \left(\cos \phi_2 \cdot \sin \phi_1\right) \cdot t\_0}\\
\end{array}
\end{array}
if phi1 < -1e-62Initial program 72.9%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower--.f64N/A
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6472.9
Simplified72.9%
if -1e-62 < phi1 < 2.9000000000000001e-25Initial program 81.0%
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.f6499.8
Applied egg-rr99.8%
Taylor expanded in phi1 around 0
lower-sin.f6498.4
Simplified98.4%
if 2.9000000000000001e-25 < phi1 Initial program 83.7%
Final simplification87.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(fma
(cos phi1)
(sin phi2)
(- (* (cos phi2) (* (sin phi1) (cos (- lambda1 lambda2)))))))))
(if (<= phi1 -1e-62)
t_0
(if (<= phi1 2.9e-25)
(atan2
(*
(cos phi2)
(fma (sin (- lambda2)) (cos lambda1) (* (cos lambda2) (sin lambda1))))
(sin phi2))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * sin((lambda1 - lambda2))), fma(cos(phi1), sin(phi2), -(cos(phi2) * (sin(phi1) * cos((lambda1 - lambda2))))));
double tmp;
if (phi1 <= -1e-62) {
tmp = t_0;
} else if (phi1 <= 2.9e-25) {
tmp = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), fma(cos(phi1), sin(phi2), Float64(-Float64(cos(phi2) * Float64(sin(phi1) * cos(Float64(lambda1 - lambda2))))))) tmp = 0.0 if (phi1 <= -1e-62) tmp = t_0; elseif (phi1 <= 2.9e-25) tmp = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), 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[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + (-N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[phi1], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision])), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -1e-62], t$95$0, If[LessEqual[phi1, 2.9e-25], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $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)}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, -\cos \phi_2 \cdot \left(\sin \phi_1 \cdot \cos \left(\lambda_1 - \lambda_2\right)\right)\right)}\\
\mathbf{if}\;\phi_1 \leq -1 \cdot 10^{-62}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_1 \leq 2.9 \cdot 10^{-25}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi1 < -1e-62 or 2.9000000000000001e-25 < phi1 Initial program 77.7%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower--.f64N/A
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6477.8
Simplified77.8%
if -1e-62 < phi1 < 2.9000000000000001e-25Initial program 81.0%
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.f6499.8
Applied egg-rr99.8%
Taylor expanded in phi1 around 0
lower-sin.f6498.4
Simplified98.4%
Final simplification87.2%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= lambda1 -3.8e-12)
(atan2
(*
(cos phi2)
(fma (sin (- lambda2)) (cos lambda1) (* (cos lambda2) (sin lambda1))))
(sin phi2))
(if (<= lambda1 150000.0)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(fma
(cos phi1)
(sin phi2)
(* (- (cos phi2)) (* (cos lambda2) (sin phi1)))))
(atan2
(* (cos phi2) (sin lambda1))
(-
(* (cos phi1) (sin phi2))
(* (* (cos phi2) (sin phi1)) (cos (- lambda1 lambda2))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (lambda1 <= -3.8e-12) {
tmp = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), sin(phi2));
} else if (lambda1 <= 150000.0) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), fma(cos(phi1), sin(phi2), (-cos(phi2) * (cos(lambda2) * sin(phi1)))));
} else {
tmp = atan2((cos(phi2) * sin(lambda1)), ((cos(phi1) * sin(phi2)) - ((cos(phi2) * sin(phi1)) * cos((lambda1 - lambda2)))));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (lambda1 <= -3.8e-12) tmp = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), sin(phi2)); elseif (lambda1 <= 150000.0) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), fma(cos(phi1), sin(phi2), Float64(Float64(-cos(phi2)) * Float64(cos(lambda2) * sin(phi1))))); else tmp = atan(Float64(cos(phi2) * sin(lambda1)), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(Float64(cos(phi2) * sin(phi1)) * cos(Float64(lambda1 - lambda2))))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[lambda1, -3.8e-12], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], If[LessEqual[lambda1, 150000.0], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + N[((-N[Cos[phi2], $MachinePrecision]) * N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[lambda1], $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}
\\
\begin{array}{l}
\mathbf{if}\;\lambda_1 \leq -3.8 \cdot 10^{-12}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\sin \phi_2}\\
\mathbf{elif}\;\lambda_1 \leq 150000:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, \left(-\cos \phi_2\right) \cdot \left(\cos \lambda_2 \cdot \sin \phi_1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \lambda_1}{\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}
\end{array}
if lambda1 < -3.79999999999999996e-12Initial program 61.8%
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.f6484.8
Applied egg-rr84.8%
Taylor expanded in phi1 around 0
lower-sin.f6468.3
Simplified68.3%
if -3.79999999999999996e-12 < lambda1 < 1.5e5Initial program 98.3%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower--.f64N/A
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6498.3
Simplified98.3%
Taylor expanded in lambda1 around 0
cos-negN/A
lower-cos.f6498.3
Simplified98.3%
if 1.5e5 < lambda1 Initial program 62.5%
Taylor expanded in lambda2 around 0
lower-sin.f6464.3
Simplified64.3%
Final simplification81.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(fma
(sin (- lambda2))
(cos lambda1)
(* (cos lambda2) (sin lambda1))))
(sin phi2))))
(if (<= lambda2 -500000000.0)
t_0
(if (<= lambda2 2.2e+26)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(fma
(cos phi1)
(sin phi2)
(- (* (cos phi2) (* (cos lambda1) (sin phi1))))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), sin(phi2));
double tmp;
if (lambda2 <= -500000000.0) {
tmp = t_0;
} else if (lambda2 <= 2.2e+26) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), fma(cos(phi1), sin(phi2), -(cos(phi2) * (cos(lambda1) * sin(phi1)))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), sin(phi2)) tmp = 0.0 if (lambda2 <= -500000000.0) tmp = t_0; elseif (lambda2 <= 2.2e+26) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), fma(cos(phi1), sin(phi2), Float64(-Float64(cos(phi2) * Float64(cos(lambda1) * sin(phi1)))))); 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[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -500000000.0], t$95$0, If[LessEqual[lambda2, 2.2e+26], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision] + (-N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision])), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\sin \phi_2}\\
\mathbf{if}\;\lambda_2 \leq -500000000:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_2 \leq 2.2 \cdot 10^{+26}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\cos \phi_1, \sin \phi_2, -\cos \phi_2 \cdot \left(\cos \lambda_1 \cdot \sin \phi_1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda2 < -5e8 or 2.20000000000000007e26 < lambda2 Initial program 56.5%
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.f6479.8
Applied egg-rr79.8%
Taylor expanded in phi1 around 0
lower-sin.f6462.5
Simplified62.5%
if -5e8 < lambda2 < 2.20000000000000007e26Initial program 98.0%
Taylor expanded in lambda1 around 0
lower-atan2.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower--.f64N/A
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6498.0
Simplified98.0%
Taylor expanded in lambda2 around 0
lower-cos.f6496.6
Simplified96.6%
Final simplification81.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos lambda2) (sin lambda1)))
(t_1 (sin (- lambda2)))
(t_2 (atan2 (* (cos phi2) (fma t_1 (cos lambda1) t_0)) (sin phi2))))
(if (<= phi2 -6.8e-28)
t_2
(if (<= phi2 6e-29)
(atan2
(fma (cos lambda1) t_1 t_0)
(* (cos (- lambda1 lambda2)) (- (sin phi1))))
t_2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(lambda2) * sin(lambda1);
double t_1 = sin(-lambda2);
double t_2 = atan2((cos(phi2) * fma(t_1, cos(lambda1), t_0)), sin(phi2));
double tmp;
if (phi2 <= -6.8e-28) {
tmp = t_2;
} else if (phi2 <= 6e-29) {
tmp = atan2(fma(cos(lambda1), t_1, t_0), (cos((lambda1 - lambda2)) * -sin(phi1)));
} else {
tmp = t_2;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(lambda2) * sin(lambda1)) t_1 = sin(Float64(-lambda2)) t_2 = atan(Float64(cos(phi2) * fma(t_1, cos(lambda1), t_0)), sin(phi2)) tmp = 0.0 if (phi2 <= -6.8e-28) tmp = t_2; elseif (phi2 <= 6e-29) tmp = atan(fma(cos(lambda1), t_1, t_0), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1)))); else tmp = t_2; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[(-lambda2)], $MachinePrecision]}, Block[{t$95$2 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$1 * N[Cos[lambda1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -6.8e-28], t$95$2, If[LessEqual[phi2, 6e-29], N[ArcTan[N[(N[Cos[lambda1], $MachinePrecision] * t$95$1 + t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]], $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \lambda_2 \cdot \sin \lambda_1\\
t_1 := \sin \left(-\lambda_2\right)\\
t_2 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(t\_1, \cos \lambda_1, t\_0\right)}{\sin \phi_2}\\
\mathbf{if}\;\phi_2 \leq -6.8 \cdot 10^{-28}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;\phi_2 \leq 6 \cdot 10^{-29}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\cos \lambda_1, t\_1, t\_0\right)}{\cos \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if phi2 < -6.8000000000000001e-28 or 6.0000000000000005e-29 < phi2 Initial program 74.9%
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.f6487.7
Applied egg-rr87.7%
Taylor expanded in phi1 around 0
lower-sin.f6463.8
Simplified63.8%
if -6.8000000000000001e-28 < phi2 < 6.0000000000000005e-29Initial program 85.2%
sin-diffN/A
sub-negN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-neg.f6492.6
Applied egg-rr92.6%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6490.4
Simplified90.4%
Taylor expanded in phi2 around 0
lower-fma.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
cos-negN/A
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
cos-negN/A
lower-cos.f6490.4
Simplified90.4%
Final simplification75.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda2)))
(t_1
(atan2
(* (cos phi2) (fma (sin lambda1) (cos lambda2) t_0))
(* (cos (- lambda1 lambda2)) (- (sin phi1))))))
(if (<= phi1 -7.6e-10)
t_1
(if (<= phi1 1.46e+26)
(atan2
(* (cos phi2) (fma t_0 (cos lambda1) (* (cos lambda2) (sin lambda1))))
(sin phi2))
t_1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(-lambda2);
double t_1 = atan2((cos(phi2) * fma(sin(lambda1), cos(lambda2), t_0)), (cos((lambda1 - lambda2)) * -sin(phi1)));
double tmp;
if (phi1 <= -7.6e-10) {
tmp = t_1;
} else if (phi1 <= 1.46e+26) {
tmp = atan2((cos(phi2) * fma(t_0, cos(lambda1), (cos(lambda2) * sin(lambda1)))), sin(phi2));
} else {
tmp = t_1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-lambda2)) t_1 = atan(Float64(cos(phi2) * fma(sin(lambda1), cos(lambda2), t_0)), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1)))) tmp = 0.0 if (phi1 <= -7.6e-10) tmp = t_1; elseif (phi1 <= 1.46e+26) tmp = atan(Float64(cos(phi2) * fma(t_0, cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), sin(phi2)); else tmp = t_1; end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[(-lambda2)], $MachinePrecision]}, Block[{t$95$1 = N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -7.6e-10], t$95$1, If[LessEqual[phi1, 1.46e+26], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(t$95$0 * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], t$95$1]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(-\lambda_2\right)\\
t_1 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, t\_0\right)}{\cos \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)}\\
\mathbf{if}\;\phi_1 \leq -7.6 \cdot 10^{-10}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_1 \leq 1.46 \cdot 10^{+26}:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(t\_0, \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi1 < -7.5999999999999996e-10 or 1.45999999999999992e26 < phi1 Initial program 76.2%
sin-diffN/A
sub-negN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-neg.f6479.1
Applied egg-rr79.1%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6451.1
Simplified51.1%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6449.9
Simplified49.9%
if -7.5999999999999996e-10 < phi1 < 1.45999999999999992e26Initial program 81.5%
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.f6497.8
Applied egg-rr97.8%
Taylor expanded in phi1 around 0
lower-sin.f6491.7
Simplified91.7%
Final simplification73.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(fma
(sin (- lambda2))
(cos lambda1)
(* (cos lambda2) (sin lambda1))))
(sin phi2))))
(if (<= lambda2 -500000000.0)
t_0
(if (<= lambda2 2.2e+26)
(atan2
(* (cos phi2) (sin (- lambda1 lambda2)))
(- (* (cos phi1) (sin phi2)) (* (cos lambda1) (sin phi1))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), sin(phi2));
double tmp;
if (lambda2 <= -500000000.0) {
tmp = t_0;
} else if (lambda2 <= 2.2e+26) {
tmp = atan2((cos(phi2) * sin((lambda1 - lambda2))), ((cos(phi1) * sin(phi2)) - (cos(lambda1) * sin(phi1))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), sin(phi2)) tmp = 0.0 if (lambda2 <= -500000000.0) tmp = t_0; elseif (lambda2 <= 2.2e+26) tmp = atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(Float64(cos(phi1) * sin(phi2)) - Float64(cos(lambda1) * sin(phi1)))); 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[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[lambda2, -500000000.0], t$95$0, If[LessEqual[lambda2, 2.2e+26], 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[Sin[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\sin \phi_2}\\
\mathbf{if}\;\lambda_2 \leq -500000000:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\lambda_2 \leq 2.2 \cdot 10^{+26}:\\
\;\;\;\;\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 \sin \phi_1}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if lambda2 < -5e8 or 2.20000000000000007e26 < lambda2 Initial program 56.5%
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.f6479.8
Applied egg-rr79.8%
Taylor expanded in phi1 around 0
lower-sin.f6462.5
Simplified62.5%
if -5e8 < lambda2 < 2.20000000000000007e26Initial program 98.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sin.f6482.8
Simplified82.8%
Taylor expanded in lambda2 around 0
lower-cos.f6482.8
Simplified82.8%
Final simplification73.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(fma
(sin (- lambda2))
(cos lambda1)
(* (cos lambda2) (sin lambda1))))
(sin phi2))))
(if (<= phi2 -3.8e-30)
t_0
(if (<= phi2 0.00048)
(atan2
(sin (- lambda1 lambda2))
(fma phi2 (cos phi1) (* (cos (- lambda1 lambda2)) (- (sin phi1)))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * fma(sin(-lambda2), cos(lambda1), (cos(lambda2) * sin(lambda1)))), sin(phi2));
double tmp;
if (phi2 <= -3.8e-30) {
tmp = t_0;
} else if (phi2 <= 0.00048) {
tmp = atan2(sin((lambda1 - lambda2)), fma(phi2, cos(phi1), (cos((lambda1 - lambda2)) * -sin(phi1))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * fma(sin(Float64(-lambda2)), cos(lambda1), Float64(cos(lambda2) * sin(lambda1)))), sin(phi2)) tmp = 0.0 if (phi2 <= -3.8e-30) tmp = t_0; elseif (phi2 <= 0.00048) tmp = atan(sin(Float64(lambda1 - lambda2)), fma(phi2, cos(phi1), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1))))); 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[(N[Sin[(-lambda2)], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -3.8e-30], t$95$0, If[LessEqual[phi2, 0.00048], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[Cos[phi1], $MachinePrecision] + N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \left(-\lambda_2\right), \cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\sin \phi_2}\\
\mathbf{if}\;\phi_2 \leq -3.8 \cdot 10^{-30}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_2 \leq 0.00048:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2, \cos \phi_1, \cos \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi2 < -3.8000000000000003e-30 or 4.80000000000000012e-4 < phi2 Initial program 74.4%
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.f6487.9
Applied egg-rr87.9%
Taylor expanded in phi1 around 0
lower-sin.f6464.3
Simplified64.3%
if -3.8000000000000003e-30 < phi2 < 4.80000000000000012e-4Initial program 85.6%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6485.2
Simplified85.2%
Taylor expanded in phi2 around 0
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6485.3
Simplified85.3%
Final simplification73.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(fma
(sin lambda1)
(cos lambda2)
(* (cos lambda1) (sin (- lambda2)))))
(sin phi2))))
(if (<= phi2 -3.8e-30)
t_0
(if (<= phi2 0.00048)
(atan2
(sin (- lambda1 lambda2))
(fma phi2 (cos phi1) (* (cos (- lambda1 lambda2)) (- (sin phi1)))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * fma(sin(lambda1), cos(lambda2), (cos(lambda1) * sin(-lambda2)))), sin(phi2));
double tmp;
if (phi2 <= -3.8e-30) {
tmp = t_0;
} else if (phi2 <= 0.00048) {
tmp = atan2(sin((lambda1 - lambda2)), fma(phi2, cos(phi1), (cos((lambda1 - lambda2)) * -sin(phi1))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * fma(sin(lambda1), cos(lambda2), Float64(cos(lambda1) * sin(Float64(-lambda2))))), sin(phi2)) tmp = 0.0 if (phi2 <= -3.8e-30) tmp = t_0; elseif (phi2 <= 0.00048) tmp = atan(sin(Float64(lambda1 - lambda2)), fma(phi2, cos(phi1), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1))))); 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[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[(-lambda2)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -3.8e-30], t$95$0, If[LessEqual[phi2, 0.00048], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[Cos[phi1], $MachinePrecision] + N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \cos \lambda_1 \cdot \sin \left(-\lambda_2\right)\right)}{\sin \phi_2}\\
\mathbf{if}\;\phi_2 \leq -3.8 \cdot 10^{-30}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_2 \leq 0.00048:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2, \cos \phi_1, \cos \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi2 < -3.8000000000000003e-30 or 4.80000000000000012e-4 < phi2 Initial program 74.4%
sin-diffN/A
sub-negN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
sin-negN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f64N/A
lower-neg.f6487.8
Applied egg-rr87.8%
Taylor expanded in phi1 around 0
lower-sin.f6464.2
Simplified64.2%
if -3.8000000000000003e-30 < phi2 < 4.80000000000000012e-4Initial program 85.6%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6485.2
Simplified85.2%
Taylor expanded in phi2 around 0
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6485.3
Simplified85.3%
Final simplification73.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (sin (- lambda1 lambda2)))
(t_2 (* (cos phi1) (sin phi2)))
(t_3 (atan2 t_1 (- t_2 (* (sin phi1) t_0)))))
(if (<= phi1 -2.15e+27)
t_3
(if (<= phi1 0.095)
(atan2
(* (cos phi2) t_1)
(- t_2 (* t_0 (fma phi1 (* -0.16666666666666666 (* phi1 phi1)) phi1))))
t_3))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sin((lambda1 - lambda2));
double t_2 = cos(phi1) * sin(phi2);
double t_3 = atan2(t_1, (t_2 - (sin(phi1) * t_0)));
double tmp;
if (phi1 <= -2.15e+27) {
tmp = t_3;
} else if (phi1 <= 0.095) {
tmp = atan2((cos(phi2) * t_1), (t_2 - (t_0 * fma(phi1, (-0.16666666666666666 * (phi1 * phi1)), phi1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sin(Float64(lambda1 - lambda2)) t_2 = Float64(cos(phi1) * sin(phi2)) t_3 = atan(t_1, Float64(t_2 - Float64(sin(phi1) * t_0))) tmp = 0.0 if (phi1 <= -2.15e+27) tmp = t_3; elseif (phi1 <= 0.095) tmp = atan(Float64(cos(phi2) * t_1), Float64(t_2 - Float64(t_0 * fma(phi1, Float64(-0.16666666666666666 * Float64(phi1 * phi1)), phi1)))); else tmp = t_3; 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[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[ArcTan[t$95$1 / N[(t$95$2 - N[(N[Sin[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -2.15e+27], t$95$3, If[LessEqual[phi1, 0.095], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] / N[(t$95$2 - N[(t$95$0 * N[(phi1 * N[(-0.16666666666666666 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision] + phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sin \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \phi_1 \cdot \sin \phi_2\\
t_3 := \tan^{-1}_* \frac{t\_1}{t\_2 - \sin \phi_1 \cdot t\_0}\\
\mathbf{if}\;\phi_1 \leq -2.15 \cdot 10^{+27}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 0.095:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot t\_1}{t\_2 - t\_0 \cdot \mathsf{fma}\left(\phi_1, -0.16666666666666666 \cdot \left(\phi_1 \cdot \phi_1\right), \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -2.15000000000000004e27 or 0.095000000000000001 < phi1 Initial program 74.4%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6444.5
Simplified44.5%
Taylor expanded in phi2 around 0
lower-sin.f6445.0
Simplified45.0%
if -2.15000000000000004e27 < phi1 < 0.095000000000000001Initial program 83.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sin.f6481.4
Simplified81.4%
Taylor expanded in phi1 around 0
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6481.4
Simplified81.4%
Final simplification65.5%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2)))
(t_1 (sin (- lambda1 lambda2)))
(t_2 (* (cos phi1) (sin phi2)))
(t_3 (atan2 t_1 (- t_2 (* (sin phi1) t_0)))))
(if (<= phi1 -11200000000000.0)
t_3
(if (<= phi1 0.09) (atan2 (* (cos phi2) t_1) (- t_2 (* phi1 t_0))) t_3))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sin((lambda1 - lambda2));
double t_2 = cos(phi1) * sin(phi2);
double t_3 = atan2(t_1, (t_2 - (sin(phi1) * t_0)));
double tmp;
if (phi1 <= -11200000000000.0) {
tmp = t_3;
} else if (phi1 <= 0.09) {
tmp = atan2((cos(phi2) * t_1), (t_2 - (phi1 * t_0)));
} else {
tmp = t_3;
}
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 = sin((lambda1 - lambda2))
t_2 = cos(phi1) * sin(phi2)
t_3 = atan2(t_1, (t_2 - (sin(phi1) * t_0)))
if (phi1 <= (-11200000000000.0d0)) then
tmp = t_3
else if (phi1 <= 0.09d0) then
tmp = atan2((cos(phi2) * t_1), (t_2 - (phi1 * t_0)))
else
tmp = t_3
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.sin((lambda1 - lambda2));
double t_2 = Math.cos(phi1) * Math.sin(phi2);
double t_3 = Math.atan2(t_1, (t_2 - (Math.sin(phi1) * t_0)));
double tmp;
if (phi1 <= -11200000000000.0) {
tmp = t_3;
} else if (phi1 <= 0.09) {
tmp = Math.atan2((Math.cos(phi2) * t_1), (t_2 - (phi1 * t_0)));
} else {
tmp = t_3;
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.cos((lambda1 - lambda2)) t_1 = math.sin((lambda1 - lambda2)) t_2 = math.cos(phi1) * math.sin(phi2) t_3 = math.atan2(t_1, (t_2 - (math.sin(phi1) * t_0))) tmp = 0 if phi1 <= -11200000000000.0: tmp = t_3 elif phi1 <= 0.09: tmp = math.atan2((math.cos(phi2) * t_1), (t_2 - (phi1 * t_0))) else: tmp = t_3 return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sin(Float64(lambda1 - lambda2)) t_2 = Float64(cos(phi1) * sin(phi2)) t_3 = atan(t_1, Float64(t_2 - Float64(sin(phi1) * t_0))) tmp = 0.0 if (phi1 <= -11200000000000.0) tmp = t_3; elseif (phi1 <= 0.09) tmp = atan(Float64(cos(phi2) * t_1), Float64(t_2 - Float64(phi1 * t_0))); else tmp = t_3; end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = cos((lambda1 - lambda2)); t_1 = sin((lambda1 - lambda2)); t_2 = cos(phi1) * sin(phi2); t_3 = atan2(t_1, (t_2 - (sin(phi1) * t_0))); tmp = 0.0; if (phi1 <= -11200000000000.0) tmp = t_3; elseif (phi1 <= 0.09) tmp = atan2((cos(phi2) * t_1), (t_2 - (phi1 * t_0))); else tmp = t_3; 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[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * N[Sin[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[ArcTan[t$95$1 / N[(t$95$2 - N[(N[Sin[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -11200000000000.0], t$95$3, If[LessEqual[phi1, 0.09], N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] / N[(t$95$2 - N[(phi1 * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sin \left(\lambda_1 - \lambda_2\right)\\
t_2 := \cos \phi_1 \cdot \sin \phi_2\\
t_3 := \tan^{-1}_* \frac{t\_1}{t\_2 - \sin \phi_1 \cdot t\_0}\\
\mathbf{if}\;\phi_1 \leq -11200000000000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 0.09:\\
\;\;\;\;\tan^{-1}_* \frac{\cos \phi_2 \cdot t\_1}{t\_2 - \phi_1 \cdot t\_0}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -1.12e13 or 0.089999999999999997 < phi1 Initial program 74.6%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6445.0
Simplified45.0%
Taylor expanded in phi2 around 0
lower-sin.f6445.5
Simplified45.5%
if -1.12e13 < phi1 < 0.089999999999999997Initial program 82.9%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower--.f64N/A
lower-sin.f6481.3
Simplified81.3%
Taylor expanded in phi1 around 0
lower-*.f64N/A
lower-cos.f64N/A
lower--.f6481.2
Simplified81.2%
Final simplification65.4%
(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 -2.35e-90)
t_0
(if (<= phi1 3e-28)
(atan2
(fma (sin lambda1) (cos lambda2) (* (cos lambda1) (sin (- lambda2))))
(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 <= -2.35e-90) {
tmp = t_0;
} else if (phi1 <= 3e-28) {
tmp = atan2(fma(sin(lambda1), cos(lambda2), (cos(lambda1) * sin(-lambda2))), 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 <= -2.35e-90) tmp = t_0; elseif (phi1 <= 3e-28) tmp = atan(fma(sin(lambda1), cos(lambda2), Float64(cos(lambda1) * sin(Float64(-lambda2)))), 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, -2.35e-90], t$95$0, If[LessEqual[phi1, 3e-28], N[ArcTan[N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[(-lambda2)], $MachinePrecision]), $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 -2.35 \cdot 10^{-90}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_1 \leq 3 \cdot 10^{-28}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \cos \lambda_1 \cdot \sin \left(-\lambda_2\right)\right)}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi1 < -2.35e-90 or 3.00000000000000003e-28 < phi1 Initial program 78.0%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.0
Simplified46.0%
Taylor expanded in phi2 around 0
lower-sin.f6446.4
Simplified46.4%
if -2.35e-90 < phi1 < 3.00000000000000003e-28Initial program 80.9%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.1
Simplified46.1%
Taylor expanded in phi1 around 0
lower-sin.f6445.4
Simplified45.4%
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
lift-*.f64N/A
lift-fma.f6454.5
lift-*.f64N/A
*-commutativeN/A
lower-*.f6454.5
Applied egg-rr54.5%
Final simplification49.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(sin
(/
1.0
(/
(fma (- lambda2) (- (- lambda2) lambda1) (* lambda1 lambda1))
(*
(- lambda1 lambda2)
(fma lambda1 lambda1 (* lambda2 (+ lambda1 lambda2))))))))
(sin phi2))))
(if (<= phi2 -54000000.0)
t_0
(if (<= phi2 44000000000.0)
(atan2
(sin (- lambda1 lambda2))
(fma phi2 (cos phi1) (* (cos (- lambda1 lambda2)) (- (sin phi1)))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * sin((1.0 / (fma(-lambda2, (-lambda2 - lambda1), (lambda1 * lambda1)) / ((lambda1 - lambda2) * fma(lambda1, lambda1, (lambda2 * (lambda1 + lambda2)))))))), sin(phi2));
double tmp;
if (phi2 <= -54000000.0) {
tmp = t_0;
} else if (phi2 <= 44000000000.0) {
tmp = atan2(sin((lambda1 - lambda2)), fma(phi2, cos(phi1), (cos((lambda1 - lambda2)) * -sin(phi1))));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * sin(Float64(1.0 / Float64(fma(Float64(-lambda2), Float64(Float64(-lambda2) - lambda1), Float64(lambda1 * lambda1)) / Float64(Float64(lambda1 - lambda2) * fma(lambda1, lambda1, Float64(lambda2 * Float64(lambda1 + lambda2)))))))), sin(phi2)) tmp = 0.0 if (phi2 <= -54000000.0) tmp = t_0; elseif (phi2 <= 44000000000.0) tmp = atan(sin(Float64(lambda1 - lambda2)), fma(phi2, cos(phi1), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1))))); 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[(1.0 / N[(N[((-lambda2) * N[((-lambda2) - lambda1), $MachinePrecision] + N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] / N[(N[(lambda1 - lambda2), $MachinePrecision] * N[(lambda1 * lambda1 + N[(lambda2 * N[(lambda1 + lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -54000000.0], t$95$0, If[LessEqual[phi2, 44000000000.0], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[Cos[phi1], $MachinePrecision] + N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\frac{1}{\frac{\mathsf{fma}\left(-\lambda_2, \left(-\lambda_2\right) - \lambda_1, \lambda_1 \cdot \lambda_1\right)}{\left(\lambda_1 - \lambda_2\right) \cdot \mathsf{fma}\left(\lambda_1, \lambda_1, \lambda_2 \cdot \left(\lambda_1 + \lambda_2\right)\right)}}\right)}{\sin \phi_2}\\
\mathbf{if}\;\phi_2 \leq -54000000:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_2 \leq 44000000000:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2, \cos \phi_1, \cos \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi2 < -5.4e7 or 4.4e10 < phi2 Initial program 75.6%
sub-negN/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
cube-negN/A
sub-negN/A
lower-/.f64N/A
+-commutativeN/A
distribute-rgt-out--N/A
lower-fma.f64N/A
lower-neg.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
difference-cubesN/A
Applied egg-rr31.1%
Taylor expanded in phi1 around 0
lower-sin.f6420.9
Simplified20.9%
if -5.4e7 < phi2 < 4.4e10Initial program 83.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6479.9
Simplified79.9%
Taylor expanded in phi2 around 0
sub-negN/A
lower-fma.f64N/A
lower-cos.f64N/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6479.8
Simplified79.8%
Final simplification49.2%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(*
(cos phi2)
(sin
(/
1.0
(/
(fma (- lambda2) (- (- lambda2) lambda1) (* lambda1 lambda1))
(*
(- lambda1 lambda2)
(fma lambda1 lambda1 (* lambda2 (+ lambda1 lambda2))))))))
(sin phi2))))
(if (<= phi2 -6.8e-28)
t_0
(if (<= phi2 44000000000.0)
(atan2
(sin (- lambda1 lambda2))
(* (cos (- lambda1 lambda2)) (- (sin phi1))))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2((cos(phi2) * sin((1.0 / (fma(-lambda2, (-lambda2 - lambda1), (lambda1 * lambda1)) / ((lambda1 - lambda2) * fma(lambda1, lambda1, (lambda2 * (lambda1 + lambda2)))))))), sin(phi2));
double tmp;
if (phi2 <= -6.8e-28) {
tmp = t_0;
} else if (phi2 <= 44000000000.0) {
tmp = atan2(sin((lambda1 - lambda2)), (cos((lambda1 - lambda2)) * -sin(phi1)));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(Float64(cos(phi2) * sin(Float64(1.0 / Float64(fma(Float64(-lambda2), Float64(Float64(-lambda2) - lambda1), Float64(lambda1 * lambda1)) / Float64(Float64(lambda1 - lambda2) * fma(lambda1, lambda1, Float64(lambda2 * Float64(lambda1 + lambda2)))))))), sin(phi2)) tmp = 0.0 if (phi2 <= -6.8e-28) tmp = t_0; elseif (phi2 <= 44000000000.0) tmp = atan(sin(Float64(lambda1 - lambda2)), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1)))); 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[(1.0 / N[(N[((-lambda2) * N[((-lambda2) - lambda1), $MachinePrecision] + N[(lambda1 * lambda1), $MachinePrecision]), $MachinePrecision] / N[(N[(lambda1 - lambda2), $MachinePrecision] * N[(lambda1 * lambda1 + N[(lambda2 * N[(lambda1 + lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -6.8e-28], t$95$0, If[LessEqual[phi2, 44000000000.0], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]], $MachinePrecision], t$95$0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\frac{1}{\frac{\mathsf{fma}\left(-\lambda_2, \left(-\lambda_2\right) - \lambda_1, \lambda_1 \cdot \lambda_1\right)}{\left(\lambda_1 - \lambda_2\right) \cdot \mathsf{fma}\left(\lambda_1, \lambda_1, \lambda_2 \cdot \left(\lambda_1 + \lambda_2\right)\right)}}\right)}{\sin \phi_2}\\
\mathbf{if}\;\phi_2 \leq -6.8 \cdot 10^{-28}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_2 \leq 44000000000:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\cos \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi2 < -6.8000000000000001e-28 or 4.4e10 < phi2 Initial program 74.3%
sub-negN/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
cube-negN/A
sub-negN/A
lower-/.f64N/A
+-commutativeN/A
distribute-rgt-out--N/A
lower-fma.f64N/A
lower-neg.f64N/A
lower--.f64N/A
lower-neg.f64N/A
lower-*.f64N/A
difference-cubesN/A
Applied egg-rr31.4%
Taylor expanded in phi1 around 0
lower-sin.f6421.6
Simplified21.6%
if -6.8000000000000001e-28 < phi2 < 4.4e10Initial program 84.9%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6481.5
Simplified81.5%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6478.0
Simplified78.0%
Final simplification47.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(atan2
(sin (- lambda1 lambda2))
(* (cos (- lambda1 lambda2)) (- (sin phi1))))))
(if (<= phi1 -1.85e-63)
t_0
(if (<= phi1 7e-114)
(atan2
(fma
lambda1
(cos lambda2)
(* (sin (- lambda2)) (fma -0.5 (* lambda1 lambda1) 1.0)))
(sin phi2))
t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = atan2(sin((lambda1 - lambda2)), (cos((lambda1 - lambda2)) * -sin(phi1)));
double tmp;
if (phi1 <= -1.85e-63) {
tmp = t_0;
} else if (phi1 <= 7e-114) {
tmp = atan2(fma(lambda1, cos(lambda2), (sin(-lambda2) * fma(-0.5, (lambda1 * lambda1), 1.0))), sin(phi2));
} else {
tmp = t_0;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = atan(sin(Float64(lambda1 - lambda2)), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1)))) tmp = 0.0 if (phi1 <= -1.85e-63) tmp = t_0; elseif (phi1 <= 7e-114) tmp = atan(fma(lambda1, cos(lambda2), Float64(sin(Float64(-lambda2)) * fma(-0.5, Float64(lambda1 * lambda1), 1.0))), 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[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi1, -1.85e-63], t$95$0, If[LessEqual[phi1, 7e-114], N[ArcTan[N[(lambda1 * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[(-lambda2)], $MachinePrecision] * N[(-0.5 * N[(lambda1 * lambda1), $MachinePrecision] + 1.0), $MachinePrecision]), $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 \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)}\\
\mathbf{if}\;\phi_1 \leq -1.85 \cdot 10^{-63}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;\phi_1 \leq 7 \cdot 10^{-114}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\lambda_1, \cos \lambda_2, \sin \left(-\lambda_2\right) \cdot \mathsf{fma}\left(-0.5, \lambda_1 \cdot \lambda_1, 1\right)\right)}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if phi1 < -1.85000000000000006e-63 or 7e-114 < phi1 Initial program 78.8%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6448.2
Simplified48.2%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6446.9
Simplified46.9%
if -1.85000000000000006e-63 < phi1 < 7e-114Initial program 79.9%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6442.6
Simplified42.6%
Taylor expanded in phi1 around 0
lower-sin.f6441.7
Simplified41.7%
Taylor expanded in lambda1 around 0
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
Simplified43.5%
Final simplification45.6%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin (- lambda1 lambda2)) (* (cos (- lambda1 lambda2)) (- (sin phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), (cos((lambda1 - lambda2)) * -sin(phi1)));
}
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((lambda1 - lambda2)) * -sin(phi1)))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2(Math.sin((lambda1 - lambda2)), (Math.cos((lambda1 - lambda2)) * -Math.sin(phi1)));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2(math.sin((lambda1 - lambda2)), (math.cos((lambda1 - lambda2)) * -math.sin(phi1)))
function code(lambda1, lambda2, phi1, phi2) return atan(sin(Float64(lambda1 - lambda2)), Float64(cos(Float64(lambda1 - lambda2)) * Float64(-sin(phi1)))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2(sin((lambda1 - lambda2)), (cos((lambda1 - lambda2)) * -sin(phi1))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * (-N[Sin[phi1], $MachinePrecision])), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\cos \left(\lambda_1 - \lambda_2\right) \cdot \left(-\sin \phi_1\right)}
\end{array}
Initial program 79.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.1
Simplified46.1%
Taylor expanded in phi2 around 0
mul-1-negN/A
distribute-rgt-neg-inN/A
lower-*.f64N/A
sub-negN/A
neg-mul-1N/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-neg.f64N/A
lower-sin.f6442.4
Simplified42.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= lambda2 -3.7e+130)
(atan2
(fma
lambda1
(cos lambda2)
(* (sin (- lambda2)) (fma -0.5 (* lambda1 lambda1) 1.0)))
(fma phi2 (* -0.16666666666666666 (* phi2 phi2)) phi2))
(atan2 (sin (- lambda1 lambda2)) (sin phi2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (lambda2 <= -3.7e+130) {
tmp = atan2(fma(lambda1, cos(lambda2), (sin(-lambda2) * fma(-0.5, (lambda1 * lambda1), 1.0))), fma(phi2, (-0.16666666666666666 * (phi2 * phi2)), phi2));
} else {
tmp = atan2(sin((lambda1 - lambda2)), sin(phi2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (lambda2 <= -3.7e+130) tmp = atan(fma(lambda1, cos(lambda2), Float64(sin(Float64(-lambda2)) * fma(-0.5, Float64(lambda1 * lambda1), 1.0))), fma(phi2, Float64(-0.16666666666666666 * Float64(phi2 * phi2)), phi2)); else tmp = atan(sin(Float64(lambda1 - lambda2)), sin(phi2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[lambda2, -3.7e+130], N[ArcTan[N[(lambda1 * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[(-lambda2)], $MachinePrecision] * N[(-0.5 * N[(lambda1 * lambda1), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(phi2 * N[(-0.16666666666666666 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\lambda_2 \leq -3.7 \cdot 10^{+130}:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\lambda_1, \cos \lambda_2, \sin \left(-\lambda_2\right) \cdot \mathsf{fma}\left(-0.5, \lambda_1 \cdot \lambda_1, 1\right)\right)}{\mathsf{fma}\left(\phi_2, -0.16666666666666666 \cdot \left(\phi_2 \cdot \phi_2\right), \phi_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\sin \phi_2}\\
\end{array}
\end{array}
if lambda2 < -3.7000000000000001e130Initial program 45.1%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6431.3
Simplified31.3%
Taylor expanded in phi1 around 0
lower-sin.f6420.9
Simplified20.9%
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-*.f6418.8
Simplified18.8%
Taylor expanded in lambda1 around 0
+-commutativeN/A
cos-negN/A
distribute-rgt-inN/A
*-commutativeN/A
associate-+l+N/A
*-commutativeN/A
associate-*r*N/A
associate-*r*N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
Simplified34.4%
if -3.7000000000000001e130 < lambda2 Initial program 85.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6448.6
Simplified48.6%
Taylor expanded in phi1 around 0
lower-sin.f6432.1
Simplified32.1%
Final simplification32.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi2 -125.0)
(atan2 (sin (- lambda2)) (sin phi2))
(atan2
(sin (- lambda1 lambda2))
(fma phi2 (* -0.16666666666666666 (* phi2 phi2)) phi2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= -125.0) {
tmp = atan2(sin(-lambda2), sin(phi2));
} else {
tmp = atan2(sin((lambda1 - lambda2)), fma(phi2, (-0.16666666666666666 * (phi2 * phi2)), phi2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi2 <= -125.0) tmp = atan(sin(Float64(-lambda2)), sin(phi2)); else tmp = atan(sin(Float64(lambda1 - lambda2)), fma(phi2, Float64(-0.16666666666666666 * Float64(phi2 * phi2)), phi2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi2, -125.0], N[ArcTan[N[Sin[(-lambda2)], $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[(-0.16666666666666666 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_2 \leq -125:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right)}{\sin \phi_2}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2, -0.16666666666666666 \cdot \left(\phi_2 \cdot \phi_2\right), \phi_2\right)}\\
\end{array}
\end{array}
if phi2 < -125Initial program 79.3%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6413.9
Simplified13.9%
Taylor expanded in phi1 around 0
lower-sin.f6413.3
Simplified13.3%
Taylor expanded in lambda1 around 0
lower-sin.f64N/A
lower-neg.f6414.4
Simplified14.4%
if -125 < phi2 Initial program 79.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6456.6
Simplified56.6%
Taylor expanded in phi1 around 0
lower-sin.f6436.0
Simplified36.0%
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-*.f6435.2
Simplified35.2%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi2 10.5)
(atan2
(sin (- lambda1 lambda2))
(fma
(* phi2 (* phi2 phi2))
(fma (* phi2 phi2) 0.008333333333333333 -0.16666666666666666)
phi2))
(atan2 (sin lambda1) (sin phi2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= 10.5) {
tmp = atan2(sin((lambda1 - lambda2)), fma((phi2 * (phi2 * phi2)), fma((phi2 * phi2), 0.008333333333333333, -0.16666666666666666), phi2));
} else {
tmp = atan2(sin(lambda1), sin(phi2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi2 <= 10.5) tmp = atan(sin(Float64(lambda1 - lambda2)), fma(Float64(phi2 * Float64(phi2 * phi2)), fma(Float64(phi2 * phi2), 0.008333333333333333, -0.16666666666666666), phi2)); else tmp = atan(sin(lambda1), sin(phi2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi2, 10.5], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[(phi2 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] * N[(N[(phi2 * phi2), $MachinePrecision] * 0.008333333333333333 + -0.16666666666666666), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[Sin[lambda1], $MachinePrecision] / N[Sin[phi2], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_2 \leq 10.5:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2 \cdot \left(\phi_2 \cdot \phi_2\right), \mathsf{fma}\left(\phi_2 \cdot \phi_2, 0.008333333333333333, -0.16666666666666666\right), \phi_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \lambda_1}{\sin \phi_2}\\
\end{array}
\end{array}
if phi2 < 10.5Initial program 81.9%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6458.4
Simplified58.4%
Taylor expanded in phi1 around 0
lower-sin.f6436.7
Simplified36.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/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-*.f6436.3
Simplified36.3%
if 10.5 < phi2 Initial program 72.7%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6415.6
Simplified15.6%
Taylor expanded in phi1 around 0
lower-sin.f6414.8
Simplified14.8%
Taylor expanded in lambda2 around 0
lower-sin.f6414.0
Simplified14.0%
(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 79.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.1
Simplified46.1%
Taylor expanded in phi1 around 0
lower-sin.f6430.4
Simplified30.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(if (<= phi2 10.5)
(atan2
(sin (- lambda1 lambda2))
(fma
(* phi2 (* phi2 phi2))
(fma (* phi2 phi2) 0.008333333333333333 -0.16666666666666666)
phi2))
(atan2
(sin lambda1)
(fma phi2 (* -0.16666666666666666 (* phi2 phi2)) phi2))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double tmp;
if (phi2 <= 10.5) {
tmp = atan2(sin((lambda1 - lambda2)), fma((phi2 * (phi2 * phi2)), fma((phi2 * phi2), 0.008333333333333333, -0.16666666666666666), phi2));
} else {
tmp = atan2(sin(lambda1), fma(phi2, (-0.16666666666666666 * (phi2 * phi2)), phi2));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) tmp = 0.0 if (phi2 <= 10.5) tmp = atan(sin(Float64(lambda1 - lambda2)), fma(Float64(phi2 * Float64(phi2 * phi2)), fma(Float64(phi2 * phi2), 0.008333333333333333, -0.16666666666666666), phi2)); else tmp = atan(sin(lambda1), fma(phi2, Float64(-0.16666666666666666 * Float64(phi2 * phi2)), phi2)); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := If[LessEqual[phi2, 10.5], N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[(phi2 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] * N[(N[(phi2 * phi2), $MachinePrecision] * 0.008333333333333333 + -0.16666666666666666), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision], N[ArcTan[N[Sin[lambda1], $MachinePrecision] / N[(phi2 * N[(-0.16666666666666666 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\phi_2 \leq 10.5:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2 \cdot \left(\phi_2 \cdot \phi_2\right), \mathsf{fma}\left(\phi_2 \cdot \phi_2, 0.008333333333333333, -0.16666666666666666\right), \phi_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \lambda_1}{\mathsf{fma}\left(\phi_2, -0.16666666666666666 \cdot \left(\phi_2 \cdot \phi_2\right), \phi_2\right)}\\
\end{array}
\end{array}
if phi2 < 10.5Initial program 81.9%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6458.4
Simplified58.4%
Taylor expanded in phi1 around 0
lower-sin.f6436.7
Simplified36.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
distribute-lft-inN/A
associate-*r*N/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-*.f6436.3
Simplified36.3%
if 10.5 < phi2 Initial program 72.7%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6415.6
Simplified15.6%
Taylor expanded in phi1 around 0
lower-sin.f6414.8
Simplified14.8%
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-*.f6412.9
Simplified12.9%
Taylor expanded in lambda2 around 0
lower-sin.f6413.7
Simplified13.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (fma phi2 (* -0.16666666666666666 (* phi2 phi2)) phi2)))
(if (<= lambda2 5.6e-18)
(atan2 (sin lambda1) t_0)
(atan2 (sin (- lambda2)) t_0))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(phi2, (-0.16666666666666666 * (phi2 * phi2)), phi2);
double tmp;
if (lambda2 <= 5.6e-18) {
tmp = atan2(sin(lambda1), t_0);
} else {
tmp = atan2(sin(-lambda2), t_0);
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = fma(phi2, Float64(-0.16666666666666666 * Float64(phi2 * phi2)), phi2) tmp = 0.0 if (lambda2 <= 5.6e-18) tmp = atan(sin(lambda1), t_0); else tmp = atan(sin(Float64(-lambda2)), t_0); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(phi2 * N[(-0.16666666666666666 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] + phi2), $MachinePrecision]}, If[LessEqual[lambda2, 5.6e-18], N[ArcTan[N[Sin[lambda1], $MachinePrecision] / t$95$0], $MachinePrecision], N[ArcTan[N[Sin[(-lambda2)], $MachinePrecision] / t$95$0], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\phi_2, -0.16666666666666666 \cdot \left(\phi_2 \cdot \phi_2\right), \phi_2\right)\\
\mathbf{if}\;\lambda_2 \leq 5.6 \cdot 10^{-18}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \lambda_1}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{\sin \left(-\lambda_2\right)}{t\_0}\\
\end{array}
\end{array}
if lambda2 < 5.60000000000000025e-18Initial program 84.5%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.7
Simplified46.7%
Taylor expanded in phi1 around 0
lower-sin.f6428.0
Simplified28.0%
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-*.f6425.1
Simplified25.1%
Taylor expanded in lambda2 around 0
lower-sin.f6423.3
Simplified23.3%
if 5.60000000000000025e-18 < lambda2 Initial program 63.6%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6444.3
Simplified44.3%
Taylor expanded in phi1 around 0
lower-sin.f6437.3
Simplified37.3%
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-*.f6434.0
Simplified34.0%
Taylor expanded in lambda1 around 0
neg-mul-1N/A
lower-sin.f64N/A
neg-mul-1N/A
lower-neg.f6432.7
Simplified32.7%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin (- lambda1 lambda2)) (fma phi2 (* -0.16666666666666666 (* phi2 phi2)) phi2)))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), fma(phi2, (-0.16666666666666666 * (phi2 * phi2)), phi2));
}
function code(lambda1, lambda2, phi1, phi2) return atan(sin(Float64(lambda1 - lambda2)), fma(phi2, Float64(-0.16666666666666666 * Float64(phi2 * phi2)), phi2)) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(phi2 * N[(-0.16666666666666666 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\phi_2, -0.16666666666666666 \cdot \left(\phi_2 \cdot \phi_2\right), \phi_2\right)}
\end{array}
Initial program 79.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.1
Simplified46.1%
Taylor expanded in phi1 around 0
lower-sin.f6430.4
Simplified30.4%
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-*.f6427.4
Simplified27.4%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin (- lambda1 lambda2)) (* -0.16666666666666666 (* phi2 (* phi2 phi2)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), (-0.16666666666666666 * (phi2 * (phi2 * 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)), ((-0.16666666666666666d0) * (phi2 * (phi2 * phi2))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2(Math.sin((lambda1 - lambda2)), (-0.16666666666666666 * (phi2 * (phi2 * phi2))));
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2(math.sin((lambda1 - lambda2)), (-0.16666666666666666 * (phi2 * (phi2 * phi2))))
function code(lambda1, lambda2, phi1, phi2) return atan(sin(Float64(lambda1 - lambda2)), Float64(-0.16666666666666666 * Float64(phi2 * Float64(phi2 * phi2)))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2(sin((lambda1 - lambda2)), (-0.16666666666666666 * (phi2 * (phi2 * phi2)))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(-0.16666666666666666 * N[(phi2 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{-0.16666666666666666 \cdot \left(\phi_2 \cdot \left(\phi_2 \cdot \phi_2\right)\right)}
\end{array}
Initial program 79.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.1
Simplified46.1%
Taylor expanded in phi1 around 0
lower-sin.f6430.4
Simplified30.4%
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-*.f6427.4
Simplified27.4%
Taylor expanded in phi2 around inf
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6425.0
Simplified25.0%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (atan2 (sin lambda1) (fma phi2 (* -0.16666666666666666 (* phi2 phi2)) phi2)))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin(lambda1), fma(phi2, (-0.16666666666666666 * (phi2 * phi2)), phi2));
}
function code(lambda1, lambda2, phi1, phi2) return atan(sin(lambda1), fma(phi2, Float64(-0.16666666666666666 * Float64(phi2 * phi2)), phi2)) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[ArcTan[N[Sin[lambda1], $MachinePrecision] / N[(phi2 * N[(-0.16666666666666666 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] + phi2), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \lambda_1}{\mathsf{fma}\left(\phi_2, -0.16666666666666666 \cdot \left(\phi_2 \cdot \phi_2\right), \phi_2\right)}
\end{array}
Initial program 79.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6446.1
Simplified46.1%
Taylor expanded in phi1 around 0
lower-sin.f6430.4
Simplified30.4%
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-*.f6427.4
Simplified27.4%
Taylor expanded in lambda2 around 0
lower-sin.f6422.0
Simplified22.0%
herbie shell --seed 2024208
(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))))))