
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (+ (cos phi1) (* (cos phi2) (cos (- lambda1 lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(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 = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (Math.cos(phi1) + (Math.cos(phi2) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (math.cos(phi1) + (math.cos(phi2) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(cos(phi1) + Float64(cos(phi2) * cos(Float64(lambda1 - lambda2)))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 + \cos \phi_2 \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (+ (cos phi1) (* (cos phi2) (cos (- lambda1 lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(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 = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (Math.cos(phi1) + (Math.cos(phi2) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (math.cos(phi1) + (math.cos(phi2) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(cos(phi1) + Float64(cos(phi2) * cos(Float64(lambda1 - lambda2)))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 + \cos \phi_2 \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
lambda1
(atan2
(*
(cos phi2)
(fma (sin lambda2) (- (cos lambda1)) (* (cos lambda2) (sin lambda1))))
(fma
(fma (cos lambda1) (cos lambda2) (* (sin lambda1) (sin lambda2)))
(cos phi2)
(cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * fma(sin(lambda2), -cos(lambda1), (cos(lambda2) * sin(lambda1)))), fma(fma(cos(lambda1), cos(lambda2), (sin(lambda1) * sin(lambda2))), cos(phi2), cos(phi1)));
}
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * fma(sin(lambda2), Float64(-cos(lambda1)), Float64(cos(lambda2) * sin(lambda1)))), fma(fma(cos(lambda1), cos(lambda2), Float64(sin(lambda1) * sin(lambda2))), cos(phi2), cos(phi1)))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + 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[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_2, -\cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_1, \cos \lambda_2, \sin \lambda_1 \cdot \sin \lambda_2\right), \cos \phi_2, \cos \phi_1\right)}
\end{array}
Initial program 98.6%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6498.7
Applied rewrites98.7%
lift-cos.f64N/A
lift--.f64N/A
cos-diffN/A
+-commutativeN/A
lift-sin.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-*.f6499.7
Applied rewrites99.7%
Taylor expanded in lambda1 around inf
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
cos-negN/A
lower-fma.f64N/A
cos-negN/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
lower-cos.f6499.7
Applied rewrites99.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
lambda1
(atan2
(*
(cos phi2)
(fma (sin lambda2) (- (cos lambda1)) (* (cos lambda2) (sin lambda1))))
(+
(cos phi1)
(*
(cos phi2)
(fma
(fma (* (cos lambda2) lambda1) -0.5 (sin lambda2))
lambda1
(cos lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * fma(sin(lambda2), -cos(lambda1), (cos(lambda2) * sin(lambda1)))), (cos(phi1) + (cos(phi2) * fma(fma((cos(lambda2) * lambda1), -0.5, sin(lambda2)), lambda1, cos(lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * fma(sin(lambda2), Float64(-cos(lambda1)), Float64(cos(lambda2) * sin(lambda1)))), Float64(cos(phi1) + Float64(cos(phi2) * fma(fma(Float64(cos(lambda2) * lambda1), -0.5, sin(lambda2)), lambda1, cos(lambda2)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + 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[(N[Cos[phi2], $MachinePrecision] * N[(N[(N[(N[Cos[lambda2], $MachinePrecision] * lambda1), $MachinePrecision] * -0.5 + N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] * lambda1 + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_2, -\cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\cos \phi_1 + \cos \phi_2 \cdot \mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_2 \cdot \lambda_1, -0.5, \sin \lambda_2\right), \lambda_1, \cos \lambda_2\right)}
\end{array}
Initial program 98.6%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6498.7
Applied rewrites98.7%
Taylor expanded in lambda1 around 0
cos-negN/A
+-commutativeN/A
*-commutativeN/A
cos-negN/A
sin-negN/A
mul-1-negN/A
lower-fma.f64N/A
Applied rewrites99.0%
Final simplification99.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
lambda1
(atan2
(*
(cos phi2)
(fma (sin lambda2) (- (cos lambda1)) (* (cos lambda2) (sin lambda1))))
(+ (cos phi1) (* (cos phi2) (fma (sin lambda2) lambda1 (cos lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * fma(sin(lambda2), -cos(lambda1), (cos(lambda2) * sin(lambda1)))), (cos(phi1) + (cos(phi2) * fma(sin(lambda2), lambda1, cos(lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * fma(sin(lambda2), Float64(-cos(lambda1)), Float64(cos(lambda2) * sin(lambda1)))), Float64(cos(phi1) + Float64(cos(phi2) * fma(sin(lambda2), lambda1, cos(lambda2)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + 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[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda2], $MachinePrecision] * lambda1 + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_2, -\cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\cos \phi_1 + \cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_2, \lambda_1, \cos \lambda_2\right)}
\end{array}
Initial program 98.6%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6498.7
Applied rewrites98.7%
Taylor expanded in lambda1 around 0
cos-negN/A
+-commutativeN/A
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
sin-negN/A
remove-double-negN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-cos.f6498.8
Applied rewrites98.8%
Final simplification98.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
lambda1
(atan2
(* (cos phi2) (fma (cos lambda2) lambda1 (- (sin lambda2))))
(fma
(fma (cos lambda1) (cos lambda2) (* (sin lambda1) (sin lambda2)))
(cos phi2)
(cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * fma(cos(lambda2), lambda1, -sin(lambda2))), fma(fma(cos(lambda1), cos(lambda2), (sin(lambda1) * sin(lambda2))), cos(phi2), cos(phi1)));
}
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * fma(cos(lambda2), lambda1, Float64(-sin(lambda2)))), fma(fma(cos(lambda1), cos(lambda2), Float64(sin(lambda1) * sin(lambda2))), cos(phi2), cos(phi1)))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Cos[lambda2], $MachinePrecision] * lambda1 + (-N[Sin[lambda2], $MachinePrecision])), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\cos \lambda_2, \lambda_1, -\sin \lambda_2\right)}{\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_1, \cos \lambda_2, \sin \lambda_1 \cdot \sin \lambda_2\right), \cos \phi_2, \cos \phi_1\right)}
\end{array}
Initial program 98.6%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6498.7
Applied rewrites98.7%
lift-cos.f64N/A
lift--.f64N/A
cos-diffN/A
+-commutativeN/A
lift-sin.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift-cos.f64N/A
lower-*.f6499.7
Applied rewrites99.7%
Taylor expanded in lambda1 around inf
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
cos-negN/A
lower-fma.f64N/A
cos-negN/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-sin.f64N/A
lower-cos.f64N/A
lower-cos.f6499.7
Applied rewrites99.7%
Taylor expanded in lambda1 around 0
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
sin-negN/A
associate-*r*N/A
distribute-rgt-outN/A
cos-negN/A
lower-*.f64N/A
lower-cos.f64N/A
+-commutativeN/A
cos-negN/A
*-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
sin-negN/A
lower-neg.f64N/A
lower-sin.f6498.8
Applied rewrites98.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
lambda1
(atan2
(*
(cos phi2)
(fma (sin lambda2) (- (cos lambda1)) (* (cos lambda2) (sin lambda1))))
(+ (cos phi1) (* (cos phi2) (cos (- lambda1 lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * fma(sin(lambda2), -cos(lambda1), (cos(lambda2) * sin(lambda1)))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * fma(sin(lambda2), Float64(-cos(lambda1)), Float64(cos(lambda2) * sin(lambda1)))), Float64(cos(phi1) + Float64(cos(phi2) * cos(Float64(lambda1 - lambda2)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + 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[(N[Cos[phi2], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_2, -\cos \lambda_1, \cos \lambda_2 \cdot \sin \lambda_1\right)}{\cos \phi_1 + \cos \phi_2 \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Initial program 98.6%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
lower-fma.f64N/A
lower-sin.f64N/A
lower-neg.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f64N/A
lower-sin.f6498.7
Applied rewrites98.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1))) (t_1 (sin (- lambda1 lambda2))))
(if (<= (cos phi2) 0.986)
(+
lambda1
(atan2
(* (cos phi2) t_1)
(fma (* -0.5 phi1) phi1 (fma t_0 (cos phi2) 1.0))))
(+
lambda1
(atan2
(* 1.0 t_1)
(pow (pow (fma t_0 (cos phi2) (cos phi1)) -1.0) -1.0))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda2 - lambda1));
double t_1 = sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.986) {
tmp = lambda1 + atan2((cos(phi2) * t_1), fma((-0.5 * phi1), phi1, fma(t_0, cos(phi2), 1.0)));
} else {
tmp = lambda1 + atan2((1.0 * t_1), pow(pow(fma(t_0, cos(phi2), cos(phi1)), -1.0), -1.0));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda2 - lambda1)) t_1 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (cos(phi2) <= 0.986) tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_1), fma(Float64(-0.5 * phi1), phi1, fma(t_0, cos(phi2), 1.0)))); else tmp = Float64(lambda1 + atan(Float64(1.0 * t_1), ((fma(t_0, cos(phi2), cos(phi1)) ^ -1.0) ^ -1.0))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.986], N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] / N[(N[(-0.5 * phi1), $MachinePrecision] * phi1 + N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[N[(1.0 * t$95$1), $MachinePrecision] / N[Power[N[Power[N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision], -1.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_1 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.986:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_1}{\mathsf{fma}\left(-0.5 \cdot \phi_1, \phi_1, \mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{1 \cdot t\_1}{{\left({\left(\mathsf{fma}\left(t\_0, \cos \phi_2, \cos \phi_1\right)\right)}^{-1}\right)}^{-1}}\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.98599999999999999Initial program 98.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6481.6
Applied rewrites81.6%
if 0.98599999999999999 < (cos.f64 phi2) Initial program 98.2%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
clear-numN/A
flip3-+N/A
Applied rewrites98.2%
Taylor expanded in phi2 around 0
Applied rewrites97.2%
Final simplification89.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= (cos phi2) 0.986)
(+ lambda1 (atan2 t_1 (fma (* -0.5 phi1) phi1 (fma t_0 (cos phi2) 1.0))))
(+ lambda1 (atan2 t_1 (+ t_0 (cos phi1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda2 - lambda1));
double t_1 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.986) {
tmp = lambda1 + atan2(t_1, fma((-0.5 * phi1), phi1, fma(t_0, cos(phi2), 1.0)));
} else {
tmp = lambda1 + atan2(t_1, (t_0 + cos(phi1)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda2 - lambda1)) t_1 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (cos(phi2) <= 0.986) tmp = Float64(lambda1 + atan(t_1, fma(Float64(-0.5 * phi1), phi1, fma(t_0, cos(phi2), 1.0)))); else tmp = Float64(lambda1 + atan(t_1, Float64(t_0 + cos(phi1)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.986], N[(lambda1 + N[ArcTan[t$95$1 / N[(N[(-0.5 * phi1), $MachinePrecision] * phi1 + N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$1 / N[(t$95$0 + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_1 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.986:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(-0.5 \cdot \phi_1, \phi_1, \mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_1}{t\_0 + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.98599999999999999Initial program 98.9%
Taylor expanded in phi1 around 0
+-commutativeN/A
associate-+l+N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
+-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6481.6
Applied rewrites81.6%
if 0.98599999999999999 < (cos.f64 phi2) Initial program 98.2%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6497.1
Applied rewrites97.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= (cos phi1) 0.992)
(+ lambda1 (atan2 t_1 (+ t_0 (cos phi1))))
(+ lambda1 (atan2 t_1 (fma t_0 (cos phi2) 1.0))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda2 - lambda1));
double t_1 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (cos(phi1) <= 0.992) {
tmp = lambda1 + atan2(t_1, (t_0 + cos(phi1)));
} else {
tmp = lambda1 + atan2(t_1, fma(t_0, cos(phi2), 1.0));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda2 - lambda1)) t_1 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (cos(phi1) <= 0.992) tmp = Float64(lambda1 + atan(t_1, Float64(t_0 + cos(phi1)))); else tmp = Float64(lambda1 + atan(t_1, fma(t_0, cos(phi2), 1.0))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi1], $MachinePrecision], 0.992], N[(lambda1 + N[ArcTan[t$95$1 / N[(t$95$0 + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$1 / N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_2 - \lambda_1\right)\\
t_1 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_1 \leq 0.992:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_1}{t\_0 + \cos \phi_1}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)}\\
\end{array}
\end{array}
if (cos.f64 phi1) < 0.99199999999999999Initial program 97.9%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6473.9
Applied rewrites73.9%
if 0.99199999999999999 < (cos.f64 phi1) Initial program 99.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6498.5
Applied rewrites98.5%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= (cos phi1) 0.992)
(+ lambda1 (atan2 t_0 (+ (cos (- lambda2 lambda1)) (cos phi1))))
(+ lambda1 (atan2 t_0 (fma (cos lambda2) (cos phi2) 1.0))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (cos(phi1) <= 0.992) {
tmp = lambda1 + atan2(t_0, (cos((lambda2 - lambda1)) + cos(phi1)));
} else {
tmp = lambda1 + atan2(t_0, fma(cos(lambda2), cos(phi2), 1.0));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (cos(phi1) <= 0.992) tmp = Float64(lambda1 + atan(t_0, Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); else tmp = Float64(lambda1 + atan(t_0, fma(cos(lambda2), cos(phi2), 1.0))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi1], $MachinePrecision], 0.992], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_1 \leq 0.992:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\cos \lambda_2, \cos \phi_2, 1\right)}\\
\end{array}
\end{array}
if (cos.f64 phi1) < 0.99199999999999999Initial program 97.9%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6473.9
Applied rewrites73.9%
if 0.99199999999999999 < (cos.f64 phi1) Initial program 99.2%
Taylor expanded in phi1 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6498.5
Applied rewrites98.5%
Taylor expanded in lambda1 around 0
Applied rewrites98.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= (cos phi2) 0.925)
(+ lambda1 (atan2 t_0 (fma (cos lambda1) (cos phi2) 1.0)))
(+ lambda1 (atan2 t_0 (+ (cos (- lambda2 lambda1)) (cos phi1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.925) {
tmp = lambda1 + atan2(t_0, fma(cos(lambda1), cos(phi2), 1.0));
} else {
tmp = lambda1 + atan2(t_0, (cos((lambda2 - lambda1)) + cos(phi1)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (cos(phi2) <= 0.925) tmp = Float64(lambda1 + atan(t_0, fma(cos(lambda1), cos(phi2), 1.0))); else tmp = Float64(lambda1 + atan(t_0, Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.925], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.925:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\cos \lambda_1, \cos \phi_2, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.92500000000000004Initial program 98.8%
Taylor expanded in phi1 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6477.6
Applied rewrites77.6%
Taylor expanded in lambda2 around 0
Applied rewrites71.1%
if 0.92500000000000004 < (cos.f64 phi2) Initial program 98.3%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6494.6
Applied rewrites94.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= (cos phi2) -0.1)
(+
lambda1
(atan2 t_0 (+ (cos (- lambda1 lambda2)) (fma (* phi1 phi1) -0.5 1.0))))
(+ lambda1 (atan2 t_0 (+ (cos (- lambda2 lambda1)) (cos phi1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= -0.1) {
tmp = lambda1 + atan2(t_0, (cos((lambda1 - lambda2)) + fma((phi1 * phi1), -0.5, 1.0)));
} else {
tmp = lambda1 + atan2(t_0, (cos((lambda2 - lambda1)) + cos(phi1)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (cos(phi2) <= -0.1) tmp = Float64(lambda1 + atan(t_0, Float64(cos(Float64(lambda1 - lambda2)) + fma(Float64(phi1 * phi1), -0.5, 1.0)))); else tmp = Float64(lambda1 + atan(t_0, Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], -0.1], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq -0.1:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_1 - \lambda_2\right) + \mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < -0.10000000000000001Initial program 99.5%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6454.4
Applied rewrites54.4%
Taylor expanded in phi1 around 0
Applied rewrites65.1%
if -0.10000000000000001 < (cos.f64 phi2) Initial program 98.3%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6483.5
Applied rewrites83.5%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (+ (cos phi1) (* (cos phi2) (cos (- lambda1 lambda2)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(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 = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2)))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (Math.cos(phi1) + (Math.cos(phi2) * Math.cos((lambda1 - lambda2)))));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (math.cos(phi1) + (math.cos(phi2) * math.cos((lambda1 - lambda2)))))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(cos(phi1) + Float64(cos(phi2) * cos(Float64(lambda1 - lambda2)))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2))))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 + \cos \phi_2 \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Initial program 98.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= (cos phi2) -0.1)
(+
lambda1
(atan2 t_0 (+ (cos (- lambda1 lambda2)) (fma (* phi1 phi1) -0.5 1.0))))
(+ lambda1 (atan2 t_0 (+ (cos lambda2) (cos phi1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(phi2) * sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= -0.1) {
tmp = lambda1 + atan2(t_0, (cos((lambda1 - lambda2)) + fma((phi1 * phi1), -0.5, 1.0)));
} else {
tmp = lambda1 + atan2(t_0, (cos(lambda2) + cos(phi1)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))) tmp = 0.0 if (cos(phi2) <= -0.1) tmp = Float64(lambda1 + atan(t_0, Float64(cos(Float64(lambda1 - lambda2)) + fma(Float64(phi1 * phi1), -0.5, 1.0)))); else tmp = Float64(lambda1 + atan(t_0, Float64(cos(lambda2) + cos(phi1)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], -0.1], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[Cos[lambda2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq -0.1:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_1 - \lambda_2\right) + \mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\cos \lambda_2 + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < -0.10000000000000001Initial program 99.5%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6454.4
Applied rewrites54.4%
Taylor expanded in phi1 around 0
Applied rewrites65.1%
if -0.10000000000000001 < (cos.f64 phi2) Initial program 98.3%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6483.5
Applied rewrites83.5%
Taylor expanded in lambda1 around 0
Applied rewrites83.5%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (fma (cos lambda2) (cos phi2) (cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), fma(cos(lambda2), cos(phi2), cos(phi1)));
}
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), fma(cos(lambda2), cos(phi2), cos(phi1)))) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\mathsf{fma}\left(\cos \lambda_2, \cos \phi_2, \cos \phi_1\right)}
\end{array}
Initial program 98.6%
Taylor expanded in lambda1 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
cos-negN/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-cos.f6498.4
Applied rewrites98.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 2.8)
(+
lambda1
(atan2
(*
(fma
(fma
(fma (* phi2 phi2) -0.001388888888888889 0.041666666666666664)
(* phi2 phi2)
-0.5)
(* phi2 phi2)
1.0)
t_0)
(+ (cos (- lambda2 lambda1)) (cos phi1))))
(+
lambda1
(atan2
(* (cos phi2) t_0)
(+ (cos (- lambda1 lambda2)) (fma (* phi1 phi1) -0.5 1.0)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 2.8) {
tmp = lambda1 + atan2((fma(fma(fma((phi2 * phi2), -0.001388888888888889, 0.041666666666666664), (phi2 * phi2), -0.5), (phi2 * phi2), 1.0) * t_0), (cos((lambda2 - lambda1)) + cos(phi1)));
} else {
tmp = lambda1 + atan2((cos(phi2) * t_0), (cos((lambda1 - lambda2)) + fma((phi1 * phi1), -0.5, 1.0)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi2 <= 2.8) tmp = Float64(lambda1 + atan(Float64(fma(fma(fma(Float64(phi2 * phi2), -0.001388888888888889, 0.041666666666666664), Float64(phi2 * phi2), -0.5), Float64(phi2 * phi2), 1.0) * t_0), Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); else tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_0), Float64(cos(Float64(lambda1 - lambda2)) + fma(Float64(phi1 * phi1), -0.5, 1.0)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 2.8], N[(lambda1 + N[ArcTan[N[(N[(N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.001388888888888889 + 0.041666666666666664), $MachinePrecision] * N[(phi2 * phi2), $MachinePrecision] + -0.5), $MachinePrecision] * N[(phi2 * phi2), $MachinePrecision] + 1.0), $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq 2.8:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.001388888888888889, 0.041666666666666664\right), \phi_2 \cdot \phi_2, -0.5\right), \phi_2 \cdot \phi_2, 1\right) \cdot t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_0}{\cos \left(\lambda_1 - \lambda_2\right) + \mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, 1\right)}\\
\end{array}
\end{array}
if phi2 < 2.7999999999999998Initial program 98.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6483.2
Applied rewrites83.2%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6480.9
Applied rewrites80.9%
if 2.7999999999999998 < phi2 Initial program 98.1%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6455.8
Applied rewrites55.8%
Taylor expanded in phi1 around 0
Applied rewrites60.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 2.4)
(+
lambda1
(atan2
(*
(fma (fma (* phi2 phi2) 0.041666666666666664 -0.5) (* phi2 phi2) 1.0)
t_0)
(+ (cos (- lambda2 lambda1)) (cos phi1))))
(+
lambda1
(atan2
(* (cos phi2) t_0)
(+ (cos (- lambda1 lambda2)) (fma (* phi1 phi1) -0.5 1.0)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 2.4) {
tmp = lambda1 + atan2((fma(fma((phi2 * phi2), 0.041666666666666664, -0.5), (phi2 * phi2), 1.0) * t_0), (cos((lambda2 - lambda1)) + cos(phi1)));
} else {
tmp = lambda1 + atan2((cos(phi2) * t_0), (cos((lambda1 - lambda2)) + fma((phi1 * phi1), -0.5, 1.0)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi2 <= 2.4) tmp = Float64(lambda1 + atan(Float64(fma(fma(Float64(phi2 * phi2), 0.041666666666666664, -0.5), Float64(phi2 * phi2), 1.0) * t_0), Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); else tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_0), Float64(cos(Float64(lambda1 - lambda2)) + fma(Float64(phi1 * phi1), -0.5, 1.0)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 2.4], N[(lambda1 + N[ArcTan[N[(N[(N[(N[(phi2 * phi2), $MachinePrecision] * 0.041666666666666664 + -0.5), $MachinePrecision] * N[(phi2 * phi2), $MachinePrecision] + 1.0), $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq 2.4:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\mathsf{fma}\left(\mathsf{fma}\left(\phi_2 \cdot \phi_2, 0.041666666666666664, -0.5\right), \phi_2 \cdot \phi_2, 1\right) \cdot t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_0}{\cos \left(\lambda_1 - \lambda_2\right) + \mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, 1\right)}\\
\end{array}
\end{array}
if phi2 < 2.39999999999999991Initial program 98.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6483.2
Applied rewrites83.2%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6480.8
Applied rewrites80.8%
if 2.39999999999999991 < phi2 Initial program 98.1%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6455.8
Applied rewrites55.8%
Taylor expanded in phi1 around 0
Applied rewrites60.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 2.8)
(+
lambda1
(atan2
(* (fma (* phi2 phi2) -0.5 1.0) t_0)
(+ (cos (- lambda2 lambda1)) (cos phi1))))
(+
lambda1
(atan2
(* (cos phi2) t_0)
(+ (cos (- lambda1 lambda2)) (fma (* phi1 phi1) -0.5 1.0)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 2.8) {
tmp = lambda1 + atan2((fma((phi2 * phi2), -0.5, 1.0) * t_0), (cos((lambda2 - lambda1)) + cos(phi1)));
} else {
tmp = lambda1 + atan2((cos(phi2) * t_0), (cos((lambda1 - lambda2)) + fma((phi1 * phi1), -0.5, 1.0)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi2 <= 2.8) tmp = Float64(lambda1 + atan(Float64(fma(Float64(phi2 * phi2), -0.5, 1.0) * t_0), Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); else tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_0), Float64(cos(Float64(lambda1 - lambda2)) + fma(Float64(phi1 * phi1), -0.5, 1.0)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 2.8], N[(lambda1 + N[ArcTan[N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq 2.8:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.5, 1\right) \cdot t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_0}{\cos \left(\lambda_1 - \lambda_2\right) + \mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, 1\right)}\\
\end{array}
\end{array}
if phi2 < 2.7999999999999998Initial program 98.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6483.2
Applied rewrites83.2%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6480.9
Applied rewrites80.9%
if 2.7999999999999998 < phi2 Initial program 98.1%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6455.8
Applied rewrites55.8%
Taylor expanded in phi1 around 0
Applied rewrites60.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 1.36e-12)
(+
lambda1
(atan2
(* (fma (* phi2 phi2) -0.5 1.0) t_0)
(+ (cos (- lambda2 lambda1)) (cos phi1))))
(+
lambda1
(atan2 (* (cos phi2) t_0) (+ 1.0 (cos (- lambda1 lambda2))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 1.36e-12) {
tmp = lambda1 + atan2((fma((phi2 * phi2), -0.5, 1.0) * t_0), (cos((lambda2 - lambda1)) + cos(phi1)));
} else {
tmp = lambda1 + atan2((cos(phi2) * t_0), (1.0 + cos((lambda1 - lambda2))));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi2 <= 1.36e-12) tmp = Float64(lambda1 + atan(Float64(fma(Float64(phi2 * phi2), -0.5, 1.0) * t_0), Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); else tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_0), Float64(1.0 + cos(Float64(lambda1 - lambda2))))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 1.36e-12], N[(lambda1 + N[ArcTan[N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] / N[(1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq 1.36 \cdot 10^{-12}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.5, 1\right) \cdot t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_0}{1 + \cos \left(\lambda_1 - \lambda_2\right)}\\
\end{array}
\end{array}
if phi2 < 1.36000000000000006e-12Initial program 98.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6483.1
Applied rewrites83.1%
Taylor expanded in phi2 around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6480.8
Applied rewrites80.8%
if 1.36000000000000006e-12 < phi2 Initial program 98.2%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6458.2
Applied rewrites58.2%
Taylor expanded in phi1 around 0
Applied rewrites56.9%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (+ 1.0 (cos (- lambda1 lambda2))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (1.0 + 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 = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (1.0d0 + cos((lambda1 - lambda2))))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((Math.cos(phi2) * Math.sin((lambda1 - lambda2))), (1.0 + Math.cos((lambda1 - lambda2))));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((math.cos(phi2) * math.sin((lambda1 - lambda2))), (1.0 + math.cos((lambda1 - lambda2))))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * sin(Float64(lambda1 - lambda2))), Float64(1.0 + cos(Float64(lambda1 - lambda2))))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (1.0 + cos((lambda1 - lambda2)))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{1 + \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Initial program 98.6%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
mul-1-negN/A
distribute-neg-inN/A
+-commutativeN/A
cos-negN/A
lower-cos.f64N/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-cos.f6476.6
Applied rewrites76.6%
Taylor expanded in phi1 around 0
Applied rewrites67.2%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (pow (pow lambda1 -1.0) -1.0))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return pow(pow(lambda1, -1.0), -1.0);
}
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 = (lambda1 ** (-1.0d0)) ** (-1.0d0)
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.pow(Math.pow(lambda1, -1.0), -1.0);
}
def code(lambda1, lambda2, phi1, phi2): return math.pow(math.pow(lambda1, -1.0), -1.0)
function code(lambda1, lambda2, phi1, phi2) return (lambda1 ^ -1.0) ^ -1.0 end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = (lambda1 ^ -1.0) ^ -1.0; end
code[lambda1_, lambda2_, phi1_, phi2_] := N[Power[N[Power[lambda1, -1.0], $MachinePrecision], -1.0], $MachinePrecision]
\begin{array}{l}
\\
{\left({\lambda_1}^{-1}\right)}^{-1}
\end{array}
Initial program 98.6%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites98.4%
Taylor expanded in lambda1 around inf
lower-/.f6452.4
Applied rewrites52.4%
Final simplification52.4%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (pow (/ -1.0 lambda1) -1.0))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return pow((-1.0 / lambda1), -1.0);
}
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 = ((-1.0d0) / lambda1) ** (-1.0d0)
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return Math.pow((-1.0 / lambda1), -1.0);
}
def code(lambda1, lambda2, phi1, phi2): return math.pow((-1.0 / lambda1), -1.0)
function code(lambda1, lambda2, phi1, phi2) return Float64(-1.0 / lambda1) ^ -1.0 end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = (-1.0 / lambda1) ^ -1.0; end
code[lambda1_, lambda2_, phi1_, phi2_] := N[Power[N[(-1.0 / lambda1), $MachinePrecision], -1.0], $MachinePrecision]
\begin{array}{l}
\\
{\left(\frac{-1}{\lambda_1}\right)}^{-1}
\end{array}
Initial program 98.6%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites98.4%
Taylor expanded in lambda1 around inf
lower-/.f6452.4
Applied rewrites52.4%
Applied rewrites17.2%
Taylor expanded in lambda1 around -inf
Applied rewrites2.4%
Final simplification2.4%
herbie shell --seed 2024312
(FPCore (lambda1 lambda2 phi1 phi2)
:name "Midpoint on a great circle"
:precision binary64
(+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (+ (cos phi1) (* (cos phi2) (cos (- lambda1 lambda2)))))))