
(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 22 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))))
(+
(cos phi1)
(*
(cos phi2)
(fma (sin lambda2) (sin lambda1) (* (cos lambda2) (cos lambda1))))))))
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), sin(lambda1), (cos(lambda2) * cos(lambda1))))));
}
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), sin(lambda1), Float64(cos(lambda2) * cos(lambda1))))))) 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] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $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, \sin \lambda_1, \cos \lambda_2 \cdot \cos \lambda_1\right)}
\end{array}
Initial program 98.5%
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.f6498.5
Applied rewrites98.5%
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-*.f6499.6
Applied rewrites99.6%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
lambda1
(atan2
(*
(cos phi2)
(fma
(sin lambda2)
(- (cos lambda1))
(*
(fma (* -0.16666666666666666 lambda1) lambda1 1.0)
(* (cos lambda2) lambda1))))
(+
(cos phi1)
(*
(cos phi2)
(fma (sin lambda2) (sin lambda1) (* (cos lambda2) (cos lambda1))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((cos(phi2) * fma(sin(lambda2), -cos(lambda1), (fma((-0.16666666666666666 * lambda1), lambda1, 1.0) * (cos(lambda2) * lambda1)))), (cos(phi1) + (cos(phi2) * fma(sin(lambda2), sin(lambda1), (cos(lambda2) * cos(lambda1))))));
}
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(cos(phi2) * fma(sin(lambda2), Float64(-cos(lambda1)), Float64(fma(Float64(-0.16666666666666666 * lambda1), lambda1, 1.0) * Float64(cos(lambda2) * lambda1)))), Float64(cos(phi1) + Float64(cos(phi2) * fma(sin(lambda2), sin(lambda1), Float64(cos(lambda2) * cos(lambda1))))))) 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[(N[(-0.16666666666666666 * lambda1), $MachinePrecision] * lambda1 + 1.0), $MachinePrecision] * N[(N[Cos[lambda2], $MachinePrecision] * lambda1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda2], $MachinePrecision] * N[Sin[lambda1], $MachinePrecision] + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[lambda1], $MachinePrecision]), $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, \mathsf{fma}\left(-0.16666666666666666 \cdot \lambda_1, \lambda_1, 1\right) \cdot \left(\cos \lambda_2 \cdot \lambda_1\right)\right)}{\cos \phi_1 + \cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_2, \sin \lambda_1, \cos \lambda_2 \cdot \cos \lambda_1\right)}
\end{array}
Initial program 98.5%
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.f6498.5
Applied rewrites98.5%
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-*.f6499.6
Applied rewrites99.6%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*r*N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
*-commutativeN/A
distribute-lft1-inN/A
lower-*.f64N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.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)
(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 98.5%
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.f6498.5
Applied rewrites98.5%
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 rewrites98.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(+
(atan2
(*
(fma
(- (sin lambda2))
(cos lambda1)
(*
(* (fma (* -0.16666666666666666 lambda1) lambda1 1.0) lambda1)
(cos lambda2)))
(cos phi2))
(fma
(fma
(fma (* (cos lambda2) lambda1) -0.5 (sin lambda2))
lambda1
(cos lambda2))
(cos phi2)
(cos phi1)))
lambda1))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return atan2((fma(-sin(lambda2), cos(lambda1), ((fma((-0.16666666666666666 * lambda1), lambda1, 1.0) * lambda1) * cos(lambda2))) * cos(phi2)), fma(fma(fma((cos(lambda2) * lambda1), -0.5, sin(lambda2)), lambda1, cos(lambda2)), cos(phi2), cos(phi1))) + lambda1;
}
function code(lambda1, lambda2, phi1, phi2) return Float64(atan(Float64(fma(Float64(-sin(lambda2)), cos(lambda1), Float64(Float64(fma(Float64(-0.16666666666666666 * lambda1), lambda1, 1.0) * lambda1) * cos(lambda2))) * cos(phi2)), fma(fma(fma(Float64(cos(lambda2) * lambda1), -0.5, sin(lambda2)), lambda1, cos(lambda2)), cos(phi2), cos(phi1))) + lambda1) end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[(N[((-N[Sin[lambda2], $MachinePrecision]) * N[Cos[lambda1], $MachinePrecision] + N[(N[(N[(N[(-0.16666666666666666 * lambda1), $MachinePrecision] * lambda1 + 1.0), $MachinePrecision] * lambda1), $MachinePrecision] * N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(N[Cos[lambda2], $MachinePrecision] * lambda1), $MachinePrecision] * -0.5 + N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] * lambda1 + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + lambda1), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\mathsf{fma}\left(-\sin \lambda_2, \cos \lambda_1, \left(\mathsf{fma}\left(-0.16666666666666666 \cdot \lambda_1, \lambda_1, 1\right) \cdot \lambda_1\right) \cdot \cos \lambda_2\right) \cdot \cos \phi_2}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\cos \lambda_2 \cdot \lambda_1, -0.5, \sin \lambda_2\right), \lambda_1, \cos \lambda_2\right), \cos \phi_2, \cos \phi_1\right)} + \lambda_1
\end{array}
Initial program 98.5%
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.f6498.5
Applied rewrites98.5%
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 rewrites98.7%
Taylor expanded in lambda1 around 0
*-commutativeN/A
associate-*r*N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
*-commutativeN/A
distribute-lft1-inN/A
lower-*.f64N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-cos.f6498.7
Applied rewrites98.7%
lift-+.f64N/A
+-commutativeN/A
lower-+.f6498.7
Applied rewrites98.7%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos lambda2) lambda1)))
(+
lambda1
(atan2
(* (cos phi2) (fma (sin lambda2) (- (cos lambda1)) t_0))
(+
(cos phi1)
(*
(cos phi2)
(fma (fma t_0 -0.5 (sin lambda2)) lambda1 (cos lambda2))))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos(lambda2) * lambda1;
return lambda1 + atan2((cos(phi2) * fma(sin(lambda2), -cos(lambda1), t_0)), (cos(phi1) + (cos(phi2) * fma(fma(t_0, -0.5, sin(lambda2)), lambda1, cos(lambda2)))));
}
function code(lambda1, lambda2, phi1, phi2) t_0 = Float64(cos(lambda2) * lambda1) return Float64(lambda1 + atan(Float64(cos(phi2) * fma(sin(lambda2), Float64(-cos(lambda1)), t_0)), Float64(cos(phi1) + Float64(cos(phi2) * fma(fma(t_0, -0.5, sin(lambda2)), lambda1, cos(lambda2)))))) end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[lambda2], $MachinePrecision] * lambda1), $MachinePrecision]}, N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * N[(N[Sin[lambda2], $MachinePrecision] * (-N[Cos[lambda1], $MachinePrecision]) + t$95$0), $MachinePrecision]), $MachinePrecision] / N[(N[Cos[phi1], $MachinePrecision] + N[(N[Cos[phi2], $MachinePrecision] * N[(N[(t$95$0 * -0.5 + N[Sin[lambda2], $MachinePrecision]), $MachinePrecision] * lambda1 + N[Cos[lambda2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \lambda_2 \cdot \lambda_1\\
\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \mathsf{fma}\left(\sin \lambda_2, -\cos \lambda_1, t\_0\right)}{\cos \phi_1 + \cos \phi_2 \cdot \mathsf{fma}\left(\mathsf{fma}\left(t\_0, -0.5, \sin \lambda_2\right), \lambda_1, \cos \lambda_2\right)}
\end{array}
\end{array}
Initial program 98.5%
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.f6498.5
Applied rewrites98.5%
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 rewrites98.7%
Taylor expanded in lambda1 around 0
*-commutativeN/A
lower-*.f64N/A
lower-cos.f6498.6
Applied rewrites98.6%
(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 98.5%
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.f6498.5
Applied rewrites98.5%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* (cos phi2) (fma (sin lambda2) (- (cos lambda1)) (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), 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)), 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[Sin[lambda1], $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, \sin \lambda_1\right)}{\cos \phi_1 + \cos \phi_2 \cdot \cos \left(\lambda_1 - \lambda_2\right)}
\end{array}
Initial program 98.5%
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.f6498.5
Applied rewrites98.5%
Taylor expanded in lambda2 around 0
lower-sin.f6498.5
Applied rewrites98.5%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1))) (t_1 (sin (- lambda1 lambda2))))
(if (<= (cos phi2) 0.995)
(+
lambda1
(atan2
(* (cos phi2) t_1)
(fma (* -0.5 phi1) phi1 (fma t_0 (cos phi2) 1.0))))
(+ lambda1 (atan2 (* 1.0 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 = sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.995) {
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), (t_0 + cos(phi1)));
}
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) <= 0.995) 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), 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[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.995], 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[(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 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.995:\\
\;\;\;\;\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}{t\_0 + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.994999999999999996Initial program 98.6%
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.f6482.7
Applied rewrites82.7%
if 0.994999999999999996 < (cos.f64 phi2) Initial program 98.4%
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.f6498.0
Applied rewrites98.0%
Taylor expanded in phi2 around 0
Applied rewrites98.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1))) (t_1 (sin (- lambda1 lambda2))))
(if (<= (cos phi2) 0.995)
(+ lambda1 (atan2 (* (cos phi2) t_1) (fma t_0 (cos phi2) 1.0)))
(+ lambda1 (atan2 (* 1.0 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 = sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.995) {
tmp = lambda1 + atan2((cos(phi2) * t_1), fma(t_0, cos(phi2), 1.0));
} else {
tmp = lambda1 + atan2((1.0 * t_1), (t_0 + cos(phi1)));
}
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) <= 0.995) tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_1), fma(t_0, cos(phi2), 1.0))); else tmp = Float64(lambda1 + atan(Float64(1.0 * 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[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.995], N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] / N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[N[(1.0 * t$95$1), $MachinePrecision] / 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 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.995:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_1}{\mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{1 \cdot t\_1}{t\_0 + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.994999999999999996Initial program 98.6%
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.f6477.2
Applied rewrites77.2%
if 0.994999999999999996 < (cos.f64 phi2) Initial program 98.4%
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.f6498.0
Applied rewrites98.0%
Taylor expanded in phi2 around 0
Applied rewrites98.1%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= (cos phi2) 0.45)
(+
lambda1
(atan2 t_0 (+ (fma (* phi1 phi1) -0.5 (cos (- lambda1 lambda2))) 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) <= 0.45) {
tmp = lambda1 + atan2(t_0, (fma((phi1 * phi1), -0.5, cos((lambda1 - lambda2))) + 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) <= 0.45) tmp = Float64(lambda1 + atan(t_0, Float64(fma(Float64(phi1 * phi1), -0.5, cos(Float64(lambda1 - lambda2))) + 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], 0.45], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $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 0.45:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, \cos \left(\lambda_1 - \lambda_2\right)\right) + 1}\\
\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) < 0.450000000000000011Initial program 98.4%
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.f6454.9
Applied rewrites54.9%
Taylor expanded in phi1 around 0
Applied rewrites63.3%
if 0.450000000000000011 < (cos.f64 phi2) 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.f6489.3
Applied rewrites89.3%
(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 98.5%
(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 98.5%
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.f6498.0
Applied rewrites98.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= phi2 0.00085)
(+ lambda1 (atan2 t_1 (fma (fma (* phi2 phi2) -0.5 1.0) t_0 (cos phi1))))
(+
lambda1
(atan2
t_1
(fma
(*
(fma
(fma -0.001388888888888889 (* phi1 phi1) 0.041666666666666664)
(* phi1 phi1)
-0.5)
phi1)
phi1
(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 (phi2 <= 0.00085) {
tmp = lambda1 + atan2(t_1, fma(fma((phi2 * phi2), -0.5, 1.0), t_0, cos(phi1)));
} else {
tmp = lambda1 + atan2(t_1, fma((fma(fma(-0.001388888888888889, (phi1 * phi1), 0.041666666666666664), (phi1 * phi1), -0.5) * phi1), phi1, 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 (phi2 <= 0.00085) tmp = Float64(lambda1 + atan(t_1, fma(fma(Float64(phi2 * phi2), -0.5, 1.0), t_0, cos(phi1)))); else tmp = Float64(lambda1 + atan(t_1, fma(Float64(fma(fma(-0.001388888888888889, Float64(phi1 * phi1), 0.041666666666666664), Float64(phi1 * phi1), -0.5) * phi1), phi1, 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[phi2, 0.00085], N[(lambda1 + 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]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$1 / N[(N[(N[(N[(-0.001388888888888889 * N[(phi1 * phi1), $MachinePrecision] + 0.041666666666666664), $MachinePrecision] * N[(phi1 * phi1), $MachinePrecision] + -0.5), $MachinePrecision] * phi1), $MachinePrecision] * phi1 + N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + 1.0), $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}\;\phi_2 \leq 0.00085:\\
\;\;\;\;\lambda_1 + \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)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_1}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.001388888888888889, \phi_1 \cdot \phi_1, 0.041666666666666664\right), \phi_1 \cdot \phi_1, -0.5\right) \cdot \phi_1, \phi_1, \mathsf{fma}\left(t\_0, \cos \phi_2, 1\right)\right)}\\
\end{array}
\end{array}
if phi2 < 8.49999999999999953e-4Initial 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.f6484.3
Applied rewrites84.3%
if 8.49999999999999953e-4 < phi2 Initial program 97.0%
Taylor expanded in phi1 around 0
associate-+r+N/A
+-commutativeN/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites82.8%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= phi2 0.00085)
(+
lambda1
(atan2
t_0
(fma
(fma (* phi2 phi2) -0.5 1.0)
(cos (- lambda2 lambda1))
(cos phi1))))
(+
lambda1
(atan2
t_0
(fma
(*
(fma
(fma -0.001388888888888889 (* phi1 phi1) 0.041666666666666664)
(* phi1 phi1)
-0.5)
phi1)
phi1
(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 (phi2 <= 0.00085) {
tmp = lambda1 + atan2(t_0, fma(fma((phi2 * phi2), -0.5, 1.0), cos((lambda2 - lambda1)), cos(phi1)));
} else {
tmp = lambda1 + atan2(t_0, fma((fma(fma(-0.001388888888888889, (phi1 * phi1), 0.041666666666666664), (phi1 * phi1), -0.5) * phi1), phi1, 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 (phi2 <= 0.00085) tmp = Float64(lambda1 + atan(t_0, fma(fma(Float64(phi2 * phi2), -0.5, 1.0), cos(Float64(lambda2 - lambda1)), cos(phi1)))); else tmp = Float64(lambda1 + atan(t_0, fma(Float64(fma(fma(-0.001388888888888889, Float64(phi1 * phi1), 0.041666666666666664), Float64(phi1 * phi1), -0.5) * phi1), phi1, 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[phi2, 0.00085], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[(N[(phi2 * phi2), $MachinePrecision] * -0.5 + 1.0), $MachinePrecision] * N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[t$95$0 / N[(N[(N[(N[(-0.001388888888888889 * N[(phi1 * phi1), $MachinePrecision] + 0.041666666666666664), $MachinePrecision] * N[(phi1 * phi1), $MachinePrecision] + -0.5), $MachinePrecision] * phi1), $MachinePrecision] * phi1 + N[(N[Cos[lambda2], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + 1.0), $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}\;\phi_2 \leq 0.00085:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\mathsf{fma}\left(\phi_2 \cdot \phi_2, -0.5, 1\right), \cos \left(\lambda_2 - \lambda_1\right), \cos \phi_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{t\_0}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-0.001388888888888889, \phi_1 \cdot \phi_1, 0.041666666666666664\right), \phi_1 \cdot \phi_1, -0.5\right) \cdot \phi_1, \phi_1, \mathsf{fma}\left(\cos \lambda_2, \cos \phi_2, 1\right)\right)}\\
\end{array}
\end{array}
if phi2 < 8.49999999999999953e-4Initial 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.f6484.3
Applied rewrites84.3%
if 8.49999999999999953e-4 < phi2 Initial program 97.0%
Taylor expanded in phi1 around 0
associate-+r+N/A
+-commutativeN/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites82.8%
Taylor expanded in lambda1 around 0
Applied rewrites82.5%
Final simplification83.9%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (- lambda2 lambda1)))
(t_1 (* (cos phi2) (sin (- lambda1 lambda2)))))
(if (<= phi2 0.00085)
(+ lambda1 (atan2 t_1 (fma (fma (* phi2 phi2) -0.5 1.0) t_0 (cos phi1))))
(+
lambda1
(atan2 t_1 (fma (* -0.5 phi1) phi1 (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 (phi2 <= 0.00085) {
tmp = lambda1 + atan2(t_1, fma(fma((phi2 * phi2), -0.5, 1.0), t_0, cos(phi1)));
} else {
tmp = lambda1 + atan2(t_1, fma((-0.5 * phi1), phi1, 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 (phi2 <= 0.00085) tmp = Float64(lambda1 + atan(t_1, fma(fma(Float64(phi2 * phi2), -0.5, 1.0), t_0, cos(phi1)))); else tmp = Float64(lambda1 + atan(t_1, fma(Float64(-0.5 * phi1), phi1, 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[phi2, 0.00085], N[(lambda1 + 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]), $MachinePrecision], 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]]]]
\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}\;\phi_2 \leq 0.00085:\\
\;\;\;\;\lambda_1 + \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)}\\
\mathbf{else}:\\
\;\;\;\;\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)}\\
\end{array}
\end{array}
if phi2 < 8.49999999999999953e-4Initial 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.f6484.3
Applied rewrites84.3%
if 8.49999999999999953e-4 < phi2 Initial program 97.0%
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.f6482.3
Applied rewrites82.3%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= (cos phi2) 0.5)
(+
lambda1
(atan2
(* (cos phi2) t_0)
(+ (fma (* phi1 phi1) -0.5 (cos (- lambda1 lambda2))) 1.0)))
(+
lambda1
(atan2 (* 1.0 t_0) (+ (cos (- lambda2 lambda1)) (cos phi1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.5) {
tmp = lambda1 + atan2((cos(phi2) * t_0), (fma((phi1 * phi1), -0.5, cos((lambda1 - lambda2))) + 1.0));
} else {
tmp = lambda1 + atan2((1.0 * t_0), (cos((lambda2 - lambda1)) + cos(phi1)));
}
return tmp;
}
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (cos(phi2) <= 0.5) tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_0), Float64(fma(Float64(phi1 * phi1), -0.5, cos(Float64(lambda1 - lambda2))) + 1.0))); else tmp = Float64(lambda1 + atan(Float64(1.0 * t_0), Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); end return tmp end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.5], N[(lambda1 + N[ArcTan[N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision] / N[(N[(N[(phi1 * phi1), $MachinePrecision] * -0.5 + N[Cos[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(lambda1 + N[ArcTan[N[(1.0 * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.5:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_0}{\mathsf{fma}\left(\phi_1 \cdot \phi_1, -0.5, \cos \left(\lambda_1 - \lambda_2\right)\right) + 1}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{1 \cdot t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.5Initial 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.f6454.7
Applied rewrites54.7%
Taylor expanded in phi1 around 0
Applied rewrites62.8%
if 0.5 < (cos.f64 phi2) Initial 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.f6490.1
Applied rewrites90.1%
Taylor expanded in phi2 around 0
Applied rewrites90.0%
(FPCore (lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (- lambda1 lambda2))))
(if (<= (cos phi2) 0.925)
(+ lambda1 (atan2 (* (cos phi2) t_0) (+ 1.0 (cos (- lambda1 lambda2)))))
(+
lambda1
(atan2 (* 1.0 t_0) (+ (cos (- lambda2 lambda1)) (cos phi1)))))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((lambda1 - lambda2));
double tmp;
if (cos(phi2) <= 0.925) {
tmp = lambda1 + atan2((cos(phi2) * t_0), (1.0 + cos((lambda1 - lambda2))));
} else {
tmp = lambda1 + atan2((1.0 * t_0), (cos((lambda2 - lambda1)) + cos(phi1)));
}
return tmp;
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: tmp
t_0 = sin((lambda1 - lambda2))
if (cos(phi2) <= 0.925d0) then
tmp = lambda1 + atan2((cos(phi2) * t_0), (1.0d0 + cos((lambda1 - lambda2))))
else
tmp = lambda1 + atan2((1.0d0 * t_0), (cos((lambda2 - lambda1)) + cos(phi1)))
end if
code = tmp
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin((lambda1 - lambda2));
double tmp;
if (Math.cos(phi2) <= 0.925) {
tmp = lambda1 + Math.atan2((Math.cos(phi2) * t_0), (1.0 + Math.cos((lambda1 - lambda2))));
} else {
tmp = lambda1 + Math.atan2((1.0 * t_0), (Math.cos((lambda2 - lambda1)) + Math.cos(phi1)));
}
return tmp;
}
def code(lambda1, lambda2, phi1, phi2): t_0 = math.sin((lambda1 - lambda2)) tmp = 0 if math.cos(phi2) <= 0.925: tmp = lambda1 + math.atan2((math.cos(phi2) * t_0), (1.0 + math.cos((lambda1 - lambda2)))) else: tmp = lambda1 + math.atan2((1.0 * t_0), (math.cos((lambda2 - lambda1)) + math.cos(phi1))) return tmp
function code(lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(lambda1 - lambda2)) tmp = 0.0 if (cos(phi2) <= 0.925) tmp = Float64(lambda1 + atan(Float64(cos(phi2) * t_0), Float64(1.0 + cos(Float64(lambda1 - lambda2))))); else tmp = Float64(lambda1 + atan(Float64(1.0 * t_0), Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))); end return tmp end
function tmp_2 = code(lambda1, lambda2, phi1, phi2) t_0 = sin((lambda1 - lambda2)); tmp = 0.0; if (cos(phi2) <= 0.925) tmp = lambda1 + atan2((cos(phi2) * t_0), (1.0 + cos((lambda1 - lambda2)))); else tmp = lambda1 + atan2((1.0 * t_0), (cos((lambda2 - lambda1)) + cos(phi1))); end tmp_2 = tmp; end
code[lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[Cos[phi2], $MachinePrecision], 0.925], 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], N[(lambda1 + N[ArcTan[N[(1.0 * t$95$0), $MachinePrecision] / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\lambda_1 - \lambda_2\right)\\
\mathbf{if}\;\cos \phi_2 \leq 0.925:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot t\_0}{1 + \cos \left(\lambda_1 - \lambda_2\right)}\\
\mathbf{else}:\\
\;\;\;\;\lambda_1 + \tan^{-1}_* \frac{1 \cdot t\_0}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}\\
\end{array}
\end{array}
if (cos.f64 phi2) < 0.92500000000000004Initial program 98.5%
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.f6456.7
Applied rewrites56.7%
Taylor expanded in phi1 around 0
Applied rewrites56.3%
if 0.92500000000000004 < (cos.f64 phi2) Initial program 98.5%
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.f6494.5
Applied rewrites94.5%
Taylor expanded in phi2 around 0
Applied rewrites94.6%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* 1.0 (sin (- lambda1 lambda2))) (+ (cos (- lambda2 lambda1)) (cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((1.0 * sin((lambda1 - lambda2))), (cos((lambda2 - lambda1)) + cos(phi1)));
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = lambda1 + atan2((1.0d0 * sin((lambda1 - lambda2))), (cos((lambda2 - lambda1)) + cos(phi1)))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((1.0 * Math.sin((lambda1 - lambda2))), (Math.cos((lambda2 - lambda1)) + Math.cos(phi1)));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((1.0 * math.sin((lambda1 - lambda2))), (math.cos((lambda2 - lambda1)) + math.cos(phi1)))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(1.0 * sin(Float64(lambda1 - lambda2))), Float64(cos(Float64(lambda2 - lambda1)) + cos(phi1)))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((1.0 * sin((lambda1 - lambda2))), (cos((lambda2 - lambda1)) + cos(phi1))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(1.0 * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[N[(lambda2 - lambda1), $MachinePrecision]], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{1 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \left(\lambda_2 - \lambda_1\right) + \cos \phi_1}
\end{array}
Initial program 98.5%
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.f6477.2
Applied rewrites77.2%
Taylor expanded in phi2 around 0
Applied rewrites75.0%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* 1.0 (sin (- lambda1 lambda2))) (+ (cos lambda2) (cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((1.0 * sin((lambda1 - lambda2))), (cos(lambda2) + cos(phi1)));
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = lambda1 + atan2((1.0d0 * sin((lambda1 - lambda2))), (cos(lambda2) + cos(phi1)))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((1.0 * Math.sin((lambda1 - lambda2))), (Math.cos(lambda2) + Math.cos(phi1)));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((1.0 * math.sin((lambda1 - lambda2))), (math.cos(lambda2) + math.cos(phi1)))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(1.0 * sin(Float64(lambda1 - lambda2))), Float64(cos(lambda2) + cos(phi1)))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((1.0 * sin((lambda1 - lambda2))), (cos(lambda2) + cos(phi1))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(1.0 * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[lambda2], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{1 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \lambda_2 + \cos \phi_1}
\end{array}
Initial program 98.5%
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.f6477.2
Applied rewrites77.2%
Taylor expanded in phi2 around 0
Applied rewrites75.0%
Taylor expanded in lambda1 around 0
Applied rewrites74.6%
Final simplification74.6%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* 1.0 (sin (- lambda1 lambda2))) (+ (cos lambda1) (cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((1.0 * sin((lambda1 - lambda2))), (cos(lambda1) + cos(phi1)));
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = lambda1 + atan2((1.0d0 * sin((lambda1 - lambda2))), (cos(lambda1) + cos(phi1)))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((1.0 * Math.sin((lambda1 - lambda2))), (Math.cos(lambda1) + Math.cos(phi1)));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((1.0 * math.sin((lambda1 - lambda2))), (math.cos(lambda1) + math.cos(phi1)))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(1.0 * sin(Float64(lambda1 - lambda2))), Float64(cos(lambda1) + cos(phi1)))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((1.0 * sin((lambda1 - lambda2))), (cos(lambda1) + cos(phi1))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(1.0 * N[Sin[N[(lambda1 - lambda2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[lambda1], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{1 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \lambda_1 + \cos \phi_1}
\end{array}
Initial program 98.5%
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.f6477.2
Applied rewrites77.2%
Taylor expanded in phi2 around 0
Applied rewrites75.0%
Taylor expanded in lambda2 around 0
Applied rewrites64.3%
Final simplification64.3%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* 1.0 (- (sin lambda2))) (+ (cos lambda1) (cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((1.0 * -sin(lambda2)), (cos(lambda1) + cos(phi1)));
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = lambda1 + atan2((1.0d0 * -sin(lambda2)), (cos(lambda1) + cos(phi1)))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((1.0 * -Math.sin(lambda2)), (Math.cos(lambda1) + Math.cos(phi1)));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((1.0 * -math.sin(lambda2)), (math.cos(lambda1) + math.cos(phi1)))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(1.0 * Float64(-sin(lambda2))), Float64(cos(lambda1) + cos(phi1)))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((1.0 * -sin(lambda2)), (cos(lambda1) + cos(phi1))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(1.0 * (-N[Sin[lambda2], $MachinePrecision])), $MachinePrecision] / N[(N[Cos[lambda1], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{1 \cdot \left(-\sin \lambda_2\right)}{\cos \lambda_1 + \cos \phi_1}
\end{array}
Initial program 98.5%
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.f6477.2
Applied rewrites77.2%
Taylor expanded in phi2 around 0
Applied rewrites75.0%
Taylor expanded in lambda2 around 0
Applied rewrites64.3%
Taylor expanded in lambda1 around 0
sin-negN/A
lower-neg.f64N/A
lower-sin.f6459.0
Applied rewrites59.0%
Final simplification59.0%
(FPCore (lambda1 lambda2 phi1 phi2) :precision binary64 (+ lambda1 (atan2 (* 1.0 (sin lambda1)) (+ (cos lambda1) (cos phi1)))))
double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + atan2((1.0 * sin(lambda1)), (cos(lambda1) + cos(phi1)));
}
real(8) function code(lambda1, lambda2, phi1, phi2)
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = lambda1 + atan2((1.0d0 * sin(lambda1)), (cos(lambda1) + cos(phi1)))
end function
public static double code(double lambda1, double lambda2, double phi1, double phi2) {
return lambda1 + Math.atan2((1.0 * Math.sin(lambda1)), (Math.cos(lambda1) + Math.cos(phi1)));
}
def code(lambda1, lambda2, phi1, phi2): return lambda1 + math.atan2((1.0 * math.sin(lambda1)), (math.cos(lambda1) + math.cos(phi1)))
function code(lambda1, lambda2, phi1, phi2) return Float64(lambda1 + atan(Float64(1.0 * sin(lambda1)), Float64(cos(lambda1) + cos(phi1)))) end
function tmp = code(lambda1, lambda2, phi1, phi2) tmp = lambda1 + atan2((1.0 * sin(lambda1)), (cos(lambda1) + cos(phi1))); end
code[lambda1_, lambda2_, phi1_, phi2_] := N[(lambda1 + N[ArcTan[N[(1.0 * N[Sin[lambda1], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[lambda1], $MachinePrecision] + N[Cos[phi1], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\lambda_1 + \tan^{-1}_* \frac{1 \cdot \sin \lambda_1}{\cos \lambda_1 + \cos \phi_1}
\end{array}
Initial program 98.5%
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.f6477.2
Applied rewrites77.2%
Taylor expanded in phi2 around 0
Applied rewrites75.0%
Taylor expanded in lambda2 around 0
Applied rewrites64.3%
Taylor expanded in lambda2 around 0
lower-sin.f6456.5
Applied rewrites56.5%
Final simplification56.5%
herbie shell --seed 2024321
(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)))))))