
(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 17 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
(+
(atan2
(*
(fma
(-
(fma
(sin lambda2)
(cos lambda1)
(fma (sin lambda1) (cos lambda2) (* (cos lambda2) (sin lambda1))))
(* (cos lambda1) (sin lambda2)))
0.5
(* (- (sin lambda2)) (cos lambda1)))
(cos phi2))
(+
(*
(fma (sin lambda2) (sin lambda1) (* (cos lambda2) (cos lambda1)))
(cos phi2))
(cos phi1)))
lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma((fma(sin(lambda2), cos(lambda1), fma(sin(lambda1), cos(lambda2), (cos(lambda2) * sin(lambda1)))) - (cos(lambda1) * sin(lambda2))), 0.5, (-sin(lambda2) * cos(lambda1))) * cos(phi2)), ((fma(sin(lambda2), sin(lambda1), (cos(lambda2) * cos(lambda1))) * cos(phi2)) + cos(phi1))) + lambda1;
}
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(fma(Float64(fma(sin(lambda2), cos(lambda1), fma(sin(lambda1), cos(lambda2), Float64(cos(lambda2) * sin(lambda1)))) - Float64(cos(lambda1) * sin(lambda2))), 0.5, Float64(Float64(-sin(lambda2)) * cos(lambda1))) * cos(phi2)), Float64(Float64(fma(sin(lambda2), sin(lambda1), Float64(cos(lambda2) * cos(lambda1))) * cos(phi2)) + cos(phi1))) + lambda1) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[(N[(N[(N[Sin[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision] + N[(N[Sin[lambda1], $MachinePrecision] * N[Cos[lambda2], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5 + N[((-N[Sin[lambda2], $MachinePrecision]) * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(\mathsf{fma}\left(\sin \lambda_2, \cos \lambda_1, \mathsf{fma}\left(\sin \lambda_1, \cos \lambda_2, \cos \lambda_2 \cdot \sin \lambda_1\right)\right) - \cos \lambda_1 \cdot \sin \lambda_2, 0.5, \left(-\sin \lambda_2\right) \cdot \cos \lambda_1\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_2 \cdot \cos \lambda_1\right) \cdot \cos \phi_2 + \cos \phi_1} + \lambda_1
\end{array}
Initial program 99.2%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
sin-cos-multN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lift--.f64N/A
lift-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-neg-inN/A
sin-negN/A
lower-*.f64N/A
Applied rewrites99.2%
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-*.f6499.3
Applied rewrites99.3%
lift-+.f64N/A
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
associate-+r-N/A
lift-cos.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower--.f64N/A
Applied rewrites99.3%
lift-+.f64N/A
lift-sin.f64N/A
lift-+.f64N/A
+-commutativeN/A
sin-sumN/A
lift-sin.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
associate-+l+N/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6499.6
Applied rewrites99.6%
Final simplification99.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
(atan2
(*
(fma
(-
(+ (* (cos lambda2) (sin lambda1)) (sin (+ lambda2 lambda1)))
(* (cos lambda1) (sin lambda2)))
0.5
(* (- (sin lambda2)) (cos lambda1)))
(cos phi2))
(+
(*
(fma (sin lambda2) (sin lambda1) (* (cos lambda2) (cos lambda1)))
(cos phi2))
(cos phi1)))
lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma((((cos(lambda2) * sin(lambda1)) + sin((lambda2 + lambda1))) - (cos(lambda1) * sin(lambda2))), 0.5, (-sin(lambda2) * cos(lambda1))) * cos(phi2)), ((fma(sin(lambda2), sin(lambda1), (cos(lambda2) * cos(lambda1))) * cos(phi2)) + cos(phi1))) + lambda1;
}
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(fma(Float64(Float64(Float64(cos(lambda2) * sin(lambda1)) + sin(Float64(lambda2 + lambda1))) - Float64(cos(lambda1) * sin(lambda2))), 0.5, Float64(Float64(-sin(lambda2)) * cos(lambda1))) * cos(phi2)), Float64(Float64(fma(sin(lambda2), sin(lambda1), Float64(cos(lambda2) * cos(lambda1))) * cos(phi2)) + cos(phi1))) + lambda1) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[(N[(N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision] + N[Sin[N[(lambda2 + lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[lambda1], $MachinePrecision] * N[Sin[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.5 + N[((-N[Sin[lambda2], $MachinePrecision]) * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(\left(\cos \lambda_2 \cdot \sin \lambda_1 + \sin \left(\lambda_2 + \lambda_1\right)\right) - \cos \lambda_1 \cdot \sin \lambda_2, 0.5, \left(-\sin \lambda_2\right) \cdot \cos \lambda_1\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_2 \cdot \cos \lambda_1\right) \cdot \cos \phi_2 + \cos \phi_1} + \lambda_1
\end{array}
Initial program 99.2%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
sin-cos-multN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lift--.f64N/A
lift-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-neg-inN/A
sin-negN/A
lower-*.f64N/A
Applied rewrites99.2%
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-*.f6499.3
Applied rewrites99.3%
lift-+.f64N/A
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
associate-+r-N/A
lift-cos.f64N/A
lift-sin.f64N/A
*-commutativeN/A
lift-sin.f64N/A
lift-cos.f64N/A
lower--.f64N/A
Applied rewrites99.3%
Final simplification99.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
(atan2
(*
(fma
(+ (sin (- lambda1 lambda2)) (sin (+ lambda2 lambda1)))
0.5
(* (- (sin lambda2)) (cos lambda1)))
(cos phi2))
(+
(*
(fma (sin lambda2) (sin lambda1) (* (cos lambda2) (cos lambda1)))
(cos phi2))
(cos phi1)))
lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma((sin((lambda1 - lambda2)) + sin((lambda2 + lambda1))), 0.5, (-sin(lambda2) * cos(lambda1))) * cos(phi2)), ((fma(sin(lambda2), sin(lambda1), (cos(lambda2) * cos(lambda1))) * cos(phi2)) + cos(phi1))) + lambda1;
}
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(fma(Float64(sin(Float64(lambda1 - lambda2)) + sin(Float64(lambda2 + lambda1))), 0.5, Float64(Float64(-sin(lambda2)) * cos(lambda1))) * cos(phi2)), Float64(Float64(fma(sin(lambda2), sin(lambda1), Float64(cos(lambda2) * cos(lambda1))) * cos(phi2)) + cos(phi1))) + lambda1) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[(N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[Sin[N[(lambda2 + lambda1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.5 + N[((-N[Sin[lambda2], $MachinePrecision]) * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(\sin \left(\lambda_1 - \lambda_2\right) + \sin \left(\lambda_2 + \lambda_1\right), 0.5, \left(-\sin \lambda_2\right) \cdot \cos \lambda_1\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_2 \cdot \cos \lambda_1\right) \cdot \cos \phi_2 + \cos \phi_1} + \lambda_1
\end{array}
Initial program 99.2%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
sin-cos-multN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lift--.f64N/A
lift-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-neg-inN/A
sin-negN/A
lower-*.f64N/A
Applied rewrites99.2%
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-*.f6499.3
Applied rewrites99.3%
Final simplification99.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
(atan2
(*
(fma (* 2.0 (sin lambda1)) 0.5 (* (- (sin lambda2)) (cos lambda1)))
(cos phi2))
(+ (* (cos (- lambda1 lambda2)) (cos phi2)) (cos phi1)))
lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma((2.0 * sin(lambda1)), 0.5, (-sin(lambda2) * cos(lambda1))) * cos(phi2)), ((cos((lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1;
}
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(fma(Float64(2.0 * sin(lambda1)), 0.5, Float64(Float64(-sin(lambda2)) * cos(lambda1))) * cos(phi2)), Float64(Float64(cos(Float64(lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[(N[(2.0 * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision] * 0.5 + N[((-N[Sin[lambda2], $MachinePrecision]) * N[Cos[lambda1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(2 \cdot \sin \lambda_1, 0.5, \left(-\sin \lambda_2\right) \cdot \cos \lambda_1\right) \cdot \cos \phi_2}{\cos \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2 + \cos \phi_1} + \lambda_1
\end{array}
Initial program 99.2%
lift-sin.f64N/A
lift--.f64N/A
sin-diffN/A
sub-negN/A
sin-cos-multN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lift--.f64N/A
lift-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sin.f64N/A
+-commutativeN/A
lower-+.f64N/A
*-commutativeN/A
distribute-lft-neg-inN/A
sin-negN/A
lower-*.f64N/A
Applied rewrites99.2%
Taylor expanded in lambda2 around 0
*-commutativeN/A
lower-*.f64N/A
lower-sin.f6499.2
Applied rewrites99.2%
Final simplification99.2%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (* (sin (- lambda1 lambda2)) (cos phi2))))
(if (<= (cos phi1) 0.996)
(+ (atan2 t_1 (fma (fma (* phi2 phi2) -0.5 1.0) t_0 (cos phi1))) lambda1)
(+
(atan2
t_1
(fma
(* (fma 0.041666666666666664 (* phi1 phi1) -0.5) phi1)
phi1
(fma t_0 (cos phi2) 1.0)))
lambda1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda2 - lambda1));
double t_1 = sin((lambda1 - lambda2)) * cos(phi2);
double tmp;
if (cos(phi1) <= 0.996) {
tmp = atan2(t_1, fma(fma((phi2 * phi2), -0.5, 1.0), t_0, cos(phi1))) + lambda1;
} else {
tmp = atan2(t_1, fma((fma(0.041666666666666664, (phi1 * phi1), -0.5) * phi1), phi1, fma(t_0, cos(phi2), 1.0))) + lambda1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda2 - lambda1)) t_1 = Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)) tmp = 0.0 if (cos(phi1) <= 0.996) tmp = Float64(atan(t_1, fma(fma(Float64(phi2 * phi2), -0.5, 1.0), t_0, cos(phi1))) + lambda1); else tmp = Float64(atan(t_1, fma(Float64(fma(0.041666666666666664, Float64(phi1 * phi1), -0.5) * phi1), phi1, fma(t_0, cos(phi2), 1.0))) + lambda1); 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[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi1], $MachinePrecision], 0.996], N[(N[ArcTan[t$95$1 / N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] * t$95$0 + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision], N[(N[ArcTan[t$95$1 / N[(N[(N[(0.041666666666666664 * N[(phi1 * phi1), $MachinePrecision] + -0.5), $MachinePrecision] * phi1), $MachinePrecision] * phi1 + N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $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) \cdot \cos \phi_2\\
\mathbf{if}\;\cos \phi_1 \leq 0.996:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.5, 1\right), t\_0, \cos \phi_1\right)} + \lambda_1\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\mathsf{fma}\left(0.041666666666666664, \phi_1 \cdot \phi_1, -0.5\right) \cdot \phi_1, \phi_1, \mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)\right)} + \lambda_1\\
\end{array}
\end{array}
if (cos.f64 phi1) < 0.996Initial program 99.0%
Taylor expanded in phi2 around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/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.f6478.0
Applied rewrites78.0%
if 0.996 < (cos.f64 phi1) Initial program 99.3%
Taylor expanded in phi1 around 0
associate-+r+N/A
+-commutativeN/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites99.3%
Final simplification89.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (* (sin (- lambda1 lambda2)) (cos phi2))))
(if (<= (cos phi1) 0.999999999995)
(+ (atan2 t_1 (fma (fma (* phi2 phi2) -0.5 1.0) t_0 (cos phi1))) lambda1)
(+ (atan2 t_1 (fma t_0 (cos phi2) 1.0)) lambda1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda2 - lambda1));
double t_1 = sin((lambda1 - lambda2)) * cos(phi2);
double tmp;
if (cos(phi1) <= 0.999999999995) {
tmp = atan2(t_1, fma(fma((phi2 * phi2), -0.5, 1.0), t_0, cos(phi1))) + lambda1;
} else {
tmp = atan2(t_1, fma(t_0, cos(phi2), 1.0)) + lambda1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda2 - lambda1)) t_1 = Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)) tmp = 0.0 if (cos(phi1) <= 0.999999999995) tmp = Float64(atan(t_1, fma(fma(Float64(phi2 * phi2), -0.5, 1.0), t_0, cos(phi1))) + lambda1); else tmp = Float64(atan(t_1, fma(t_0, cos(phi2), 1.0)) + lambda1); 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[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi1], $MachinePrecision], 0.999999999995], N[(N[ArcTan[t$95$1 / N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] * t$95$0 + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision], N[(N[ArcTan[t$95$1 / N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] + lambda1), $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) \cdot \cos \phi_2\\
\mathbf{if}\;\cos \phi_1 \leq 0.999999999995:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.5, 1\right), t\_0, \cos \phi_1\right)} + \lambda_1\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)} + \lambda_1\\
\end{array}
\end{array}
if (cos.f64 phi1) < 0.999999999995Initial program 99.1%
Taylor expanded in phi2 around 0
+-commutativeN/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-fma.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/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.f6479.0
Applied rewrites79.0%
if 0.999999999995 < (cos.f64 phi1) Initial program 99.3%
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.f6499.3
Applied rewrites99.3%
Final simplification89.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin (- lambda1 lambda2)) (cos phi2))))
(if (<= (cos phi1) 0.999999999995)
(fma
(/ (atan2 t_0 (+ (cos (- lambda1 lambda2)) (cos phi1))) lambda1)
lambda1
lambda1)
(+ (atan2 t_0 (fma (cos (- lambda2 lambda1)) (cos phi2) 1.0)) lambda1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2)) * cos(phi2);
double tmp;
if (cos(phi1) <= 0.999999999995) {
tmp = fma((atan2(t_0, (cos((lambda1 - lambda2)) + cos(phi1))) / lambda1), lambda1, lambda1);
} else {
tmp = atan2(t_0, fma(cos((lambda2 - lambda1)), cos(phi2), 1.0)) + lambda1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)) tmp = 0.0 if (cos(phi1) <= 0.999999999995) tmp = fma(Float64(atan(t_0, Float64(cos(Float64(lambda1 - lambda2)) + cos(phi1))) / lambda1), lambda1, lambda1); else tmp = Float64(atan(t_0, fma(cos(Float64(lambda2 - lambda1)), cos(phi2), 1.0)) + lambda1); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi1], $MachinePrecision], 0.999999999995], N[(N[(N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / lambda1), $MachinePrecision] * lambda1 + lambda1), $MachinePrecision], N[(N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2\\
\mathbf{if}\;\cos \phi_1 \leq 0.999999999995:\\
\;\;\;\;\mathsf{fma}\left(\frac{\tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_1 - \lambda_2\right) + \cos \phi_1}}{\lambda_1}, \lambda_1, \lambda_1\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\cos \left(\lambda_2 - \lambda_1\right), \cos \phi_2, 1\right)} + \lambda_1\\
\end{array}
\end{array}
if (cos.f64 phi1) < 0.999999999995Initial program 99.1%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites98.8%
Taylor expanded in lambda1 around inf
Applied rewrites99.0%
Taylor expanded in phi2 around 0
Applied rewrites75.0%
if 0.999999999995 < (cos.f64 phi1) Initial program 99.3%
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.f6499.3
Applied rewrites99.3%
Final simplification87.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (* (sin (- lambda1 lambda2)) (cos phi2))))
(if (<= (cos phi1) 0.999999999995)
(+ (atan2 t_1 (+ t_0 (cos phi1))) lambda1)
(+ (atan2 t_1 (fma t_0 (cos phi2) 1.0)) lambda1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda2 - lambda1));
double t_1 = sin((lambda1 - lambda2)) * cos(phi2);
double tmp;
if (cos(phi1) <= 0.999999999995) {
tmp = atan2(t_1, (t_0 + cos(phi1))) + lambda1;
} else {
tmp = atan2(t_1, fma(t_0, cos(phi2), 1.0)) + lambda1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda2 - lambda1)) t_1 = Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)) tmp = 0.0 if (cos(phi1) <= 0.999999999995) tmp = Float64(atan(t_1, Float64(t_0 + cos(phi1))) + lambda1); else tmp = Float64(atan(t_1, fma(t_0, cos(phi2), 1.0)) + lambda1); 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[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi1], $MachinePrecision], 0.999999999995], N[(N[ArcTan[t$95$1 / N[(t$95$0 + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision], N[(N[ArcTan[t$95$1 / N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] + lambda1), $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) \cdot \cos \phi_2\\
\mathbf{if}\;\cos \phi_1 \leq 0.999999999995:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{t\_0 + \cos \phi_1} + \lambda_1\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)} + \lambda_1\\
\end{array}
\end{array}
if (cos.f64 phi1) < 0.999999999995Initial program 99.1%
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.f6475.0
Applied rewrites75.0%
if 0.999999999995 < (cos.f64 phi1) Initial program 99.3%
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.f6499.3
Applied rewrites99.3%
Final simplification87.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= phi2 3.3)
(+
(atan2
(* (fma (* phi2 phi2) -0.5 1.0) t_0)
(+ (* (cos (- lambda1 lambda2)) (cos phi2)) (cos phi1)))
lambda1)
(+
(atan2 (* t_0 (cos phi2)) (fma (cos lambda1) (cos phi2) (cos phi1)))
lambda1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (phi2 <= 3.3) {
tmp = atan2((fma((phi2 * phi2), -0.5, 1.0) * t_0), ((cos((lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1;
} else {
tmp = atan2((t_0 * cos(phi2)), fma(cos(lambda1), cos(phi2), cos(phi1))) + lambda1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (phi2 <= 3.3) tmp = Float64(atan(Float64(fma(Float64(phi2 * phi2), -0.5, 1.0) * t_0), Float64(Float64(cos(Float64(lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1); else tmp = Float64(atan(Float64(t_0 * cos(phi2)), fma(cos(lambda1), cos(phi2), cos(phi1))) + lambda1); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, 3.3], N[(N[ArcTan[N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision], N[(N[ArcTan[N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[lambda1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\phi_2 \leq 3.3:\\
\;\;\;\;\tan^{-1}_* \frac{\mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.5, 1\right) \cdot t\_0}{\cos \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2 + \cos \phi_1} + \lambda_1\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0 \cdot \cos \phi_2}{\mathsf{fma}\left(\cos \lambda_1, \cos \phi_2, \cos \phi_1\right)} + \lambda_1\\
\end{array}
\end{array}
if phi2 < 3.2999999999999998Initial program 99.2%
Taylor expanded in phi2 around 0
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
lower-sin.f64N/A
lower--.f6482.3
Applied rewrites82.3%
if 3.2999999999999998 < phi2 Initial program 99.0%
Taylor expanded in lambda2 around 0
+-commutativeN/A
lower-fma.f64N/A
lower-cos.f64N/A
lower-cos.f64N/A
lower-cos.f6483.0
Applied rewrites83.0%
Final simplification82.4%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (sin (- lambda1 lambda2)) (cos phi2))))
(if (<= (cos phi2) 0.62)
(/
1.0
(/
1.0
(+
(atan2 t_0 (+ (fma (* phi1 phi1) -0.5 1.0) (cos (- lambda1 lambda2))))
lambda1)))
(+ (atan2 t_0 (+ (cos (- lambda2 lambda1)) (cos phi1))) lambda1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2)) * cos(phi2);
double tmp;
if (cos(phi2) <= 0.62) {
tmp = 1.0 / (1.0 / (atan2(t_0, (fma((phi1 * phi1), -0.5, 1.0) + cos((lambda1 - lambda2)))) + lambda1));
} else {
tmp = atan2(t_0, (cos((lambda2 - lambda1)) + cos(phi1))) + lambda1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)) tmp = 0.0 if (cos(phi2) <= 0.62) tmp = Float64(1.0 / Float64(1.0 / Float64(atan(t_0, Float64(fma(Float64(phi1 * phi1), -0.5, 1.0) + cos(Float64(lambda1 - lambda2)))) + lambda1))); else tmp = Float64(atan(t_0, Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1))) + lambda1); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.62], N[(1.0 / N[(1.0 / N[(N[ArcTan[t$95$0 / N[(N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[t$95$0 / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2\\
\mathbf{if}\;\cos \phi_2 \leq 0.62:\\
\;\;\;\;\frac{1}{\frac{1}{\tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, 1\right) + \cos \left(\lambda_1 - \lambda_2\right)} + \lambda_1}}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1} + \lambda_1\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.619999999999999996Initial program 99.7%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites99.6%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
distribute-neg-inN/A
+-commutativeN/A
neg-mul-1N/A
cos-negN/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-cos.f6458.1
Applied rewrites58.1%
Taylor expanded in phi1 around 0
Applied rewrites67.0%
if 0.619999999999999996 < (cos.f64 phi2) Initial program 98.9%
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.f6489.7
Applied rewrites89.7%
Final simplification81.6%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ (atan2 (* (sin (- lambda1 lambda2)) (cos phi2)) (+ (* (cos (- lambda1 lambda2)) (cos phi2)) (cos phi1))) lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos((lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos((lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1
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((lambda1 - lambda2)) * Math.cos(phi2)) + Math.cos(phi1))) + lambda1;
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.sin((lambda1 - lambda2)) * math.cos(phi2)), ((math.cos((lambda1 - lambda2)) * math.cos(phi2)) + math.cos(phi1))) + lambda1
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)), Float64(Float64(cos(Float64(lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos((lambda1 - lambda2)) * cos(phi2)) + cos(phi1))) + lambda1; end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2}{\cos \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2 + \cos \phi_1} + \lambda_1
\end{array}
Initial program 99.2%
Final simplification99.2%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ (atan2 (* (sin (- lambda1 lambda2)) (cos phi2)) (+ (* (cos lambda2) (cos phi2)) (cos phi1))) lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(lambda2) * cos(phi2)) + cos(phi1))) + lambda1;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(lambda2) * cos(phi2)) + cos(phi1))) + lambda1
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(lambda2) * Math.cos(phi2)) + Math.cos(phi1))) + lambda1;
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2((math.sin((lambda1 - lambda2)) * math.cos(phi2)), ((math.cos(lambda2) * math.cos(phi2)) + math.cos(phi1))) + lambda1
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)), Float64(Float64(cos(lambda2) * cos(phi2)) + cos(phi1))) + lambda1) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2((sin((lambda1 - lambda2)) * cos(phi2)), ((cos(lambda2) * cos(phi2)) + cos(phi1))) + lambda1; end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2}{\cos \lambda_2 \cdot \cos \phi_2 + \cos \phi_1} + \lambda_1
\end{array}
Initial program 99.2%
Taylor expanded in lambda1 around 0
cos-negN/A
lower-cos.f6498.3
Applied rewrites98.3%
Final simplification98.3%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ (atan2 (* (sin (- lambda1 lambda2)) (cos phi2)) (fma (cos lambda2) (cos phi2) (cos phi1))) lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((sin((lambda1 - lambda2)) * cos(phi2)), fma(cos(lambda2), cos(phi2), cos(phi1))) + lambda1;
}
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(sin(Float64(lambda1 - lambda2)) * cos(phi2)), fma(cos(lambda2), cos(phi2), cos(phi1))) + lambda1) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\cos \lambda_2, \cos \phi_2, \cos \phi_1\right)} + \lambda_1
\end{array}
Initial program 99.2%
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.f6498.3
Applied rewrites98.3%
Final simplification98.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda1 lambda2))) (t_1 (sin (- lambda1 lambda2))))
(if (<= (cos phi2) 0.62)
(/
1.0
(/
1.0
(+
(atan2 (* t_1 (cos phi2)) (+ (fma (* phi1 phi1) -0.5 1.0) t_0))
lambda1)))
(+ (atan2 t_1 (+ t_0 (cos phi1))) lambda1))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((lambda1 - lambda2));
double t_1 = sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.62) {
tmp = 1.0 / (1.0 / (atan2((t_1 * cos(phi2)), (fma((phi1 * phi1), -0.5, 1.0) + t_0)) + lambda1));
} else {
tmp = atan2(t_1, (t_0 + cos(phi1))) + lambda1;
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(lambda1 - lambda2)) t_1 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (cos(phi2) <= 0.62) tmp = Float64(1.0 / Float64(1.0 / Float64(atan(Float64(t_1 * cos(phi2)), Float64(fma(Float64(phi1 * phi1), -0.5, 1.0) + t_0)) + lambda1))); else tmp = Float64(atan(t_1, Float64(t_0 + cos(phi1))) + lambda1); 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]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.62], N[(1.0 / N[(1.0 / N[(N[ArcTan[N[(t$95$1 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[t$95$1 / N[(t$95$0 + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\lambda_1 - \lambda_2\right)\\
t_1 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.62:\\
\;\;\;\;\frac{1}{\frac{1}{\tan^{-1}_* \frac{t\_1 \cdot \cos \phi_2}{\mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, 1\right) + t\_0} + \lambda_1}}\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_1}{t\_0 + \cos \phi_1} + \lambda_1\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.619999999999999996Initial program 99.7%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites99.6%
Taylor expanded in phi2 around 0
+-commutativeN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
distribute-neg-inN/A
+-commutativeN/A
neg-mul-1N/A
cos-negN/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-cos.f6458.1
Applied rewrites58.1%
Taylor expanded in phi1 around 0
Applied rewrites67.0%
if 0.619999999999999996 < (cos.f64 phi2) Initial program 98.9%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6489.5
Applied rewrites89.5%
Taylor expanded in phi2 around 0
+-commutativeN/A
sub-negN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
distribute-neg-inN/A
+-commutativeN/A
neg-mul-1N/A
cos-negN/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-cos.f6489.7
Applied rewrites89.7%
Final simplification81.6%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ (atan2 (sin (- lambda1 lambda2)) (+ (cos (- lambda1 lambda2)) (cos phi1))) lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sin((lambda1 - lambda2)), (cos((lambda1 - lambda2)) + cos(phi1))) + lambda1;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = atan2(sin((lambda1 - lambda2)), (cos((lambda1 - lambda2)) + cos(phi1))) + lambda1
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.cos(phi1))) + lambda1;
}
def code(lambda1, lambda2, phi1, phi2): return math.atan2(math.sin((lambda1 - lambda2)), (math.cos((lambda1 - lambda2)) + math.cos(phi1))) + lambda1
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(sin(Float64(lambda1 - lambda2)), Float64(cos(Float64(lambda1 - lambda2)) + cos(phi1))) + lambda1) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = atan2(sin((lambda1 - lambda2)), (cos((lambda1 - lambda2)) + cos(phi1))) + lambda1; end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] / N[(N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sin \left(\lambda_1 - \lambda_2\right)}{\cos \left(\lambda_1 - \lambda_2\right) + \cos \phi_1} + \lambda_1
\end{array}
Initial program 99.2%
Taylor expanded in phi2 around 0
lower-sin.f64N/A
lower--.f6477.7
Applied rewrites77.7%
Taylor expanded in phi2 around 0
+-commutativeN/A
sub-negN/A
neg-mul-1N/A
cos-negN/A
neg-mul-1N/A
+-commutativeN/A
distribute-neg-inN/A
remove-double-negN/A
sub-negN/A
lower-+.f64N/A
sub-negN/A
remove-double-negN/A
distribute-neg-inN/A
+-commutativeN/A
neg-mul-1N/A
cos-negN/A
lower-cos.f64N/A
neg-mul-1N/A
sub-negN/A
lower--.f64N/A
lower-cos.f6477.1
Applied rewrites77.1%
Final simplification77.1%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (/ 1.0 (/ 1.0 lambda1)))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return 1.0 / (1.0 / lambda1);
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = 1.0d0 / (1.0d0 / lambda1)
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return 1.0 / (1.0 / lambda1);
}
def code(lambda1, lambda2, phi1, phi2): return 1.0 / (1.0 / lambda1)
function code(lambda1, lambda2, phi1, phi2) return Float64(1.0 / Float64(1.0 / lambda1)) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = 1.0 / (1.0 / lambda1); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(1.0 / N[(1.0 / lambda1), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{1}{\lambda_1}}
\end{array}
Initial program 99.2%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites99.0%
Taylor expanded in lambda1 around inf
lower-/.f6450.3
Applied rewrites50.3%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (/ 1.0 (/ -1.0 lambda1)))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return 1.0 / (-1.0 / lambda1);
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = 1.0d0 / ((-1.0d0) / lambda1)
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return 1.0 / (-1.0 / lambda1);
}
def code(lambda1, lambda2, phi1, phi2): return 1.0 / (-1.0 / lambda1)
function code(lambda1, lambda2, phi1, phi2) return Float64(1.0 / Float64(-1.0 / lambda1)) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = 1.0 / (-1.0 / lambda1); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(1.0 / N[(-1.0 / lambda1), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{-1}{\lambda_1}}
\end{array}
Initial program 99.2%
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites99.0%
Taylor expanded in lambda1 around inf
lower-/.f6450.3
Applied rewrites50.3%
Applied rewrites19.4%
Taylor expanded in lambda1 around -inf
Applied rewrites2.7%
herbie shell --seed 2024282
(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)))))))