
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 27 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)
code = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0);
return R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0) return R * (2.0 * math.atan2(math.sqrt(t_1), math.sqrt((1.0 - t_1))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0); tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (cos (/ phi2 2.0)))
(t_1 (sin (/ phi2 2.0)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (sin (/ phi1 2.0)))
(t_4 (* (* (* (cos phi1) (cos phi2)) t_2) t_2))
(t_5 (sin (/ (- phi1 phi2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (- (* t_3 t_0) (* (cos (/ phi1 2.0)) t_1)) 2.0) t_4))
(sqrt
(-
1.0
(+
(fma (* t_5 (- (cos (/ phi1 -2.0)))) t_1 (* (* t_5 t_0) t_3))
t_4))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = cos((phi2 / 2.0));
double t_1 = sin((phi2 / 2.0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = sin((phi1 / 2.0));
double t_4 = ((cos(phi1) * cos(phi2)) * t_2) * t_2;
double t_5 = sin(((phi1 - phi2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((t_3 * t_0) - (cos((phi1 / 2.0)) * t_1)), 2.0) + t_4)), sqrt((1.0 - (fma((t_5 * -cos((phi1 / -2.0))), t_1, ((t_5 * t_0) * t_3)) + t_4)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = cos(Float64(phi2 / 2.0)) t_1 = sin(Float64(phi2 / 2.0)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = sin(Float64(phi1 / 2.0)) t_4 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2) t_5 = sin(Float64(Float64(phi1 - phi2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(t_3 * t_0) - Float64(cos(Float64(phi1 / 2.0)) * t_1)) ^ 2.0) + t_4)), sqrt(Float64(1.0 - Float64(fma(Float64(t_5 * Float64(-cos(Float64(phi1 / -2.0)))), t_1, Float64(Float64(t_5 * t_0) * t_3)) + t_4)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(t$95$3 * t$95$0), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(t$95$5 * (-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision])), $MachinePrecision] * t$95$1 + N[(N[(t$95$5 * t$95$0), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(\frac{\phi_2}{2}\right)\\
t_1 := \sin \left(\frac{\phi_2}{2}\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \sin \left(\frac{\phi_1}{2}\right)\\
t_4 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
t_5 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_3 \cdot t\_0 - \cos \left(\frac{\phi_1}{2}\right) \cdot t\_1\right)}^{2} + t\_4}}{\sqrt{1 - \left(\mathsf{fma}\left(t\_5 \cdot \left(-\cos \left(\frac{\phi_1}{-2}\right)\right), t\_1, \left(t\_5 \cdot t\_0\right) \cdot t\_3\right) + t\_4\right)}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.1
Applied rewrites65.1%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lift-/.f64N/A
lift-/.f64N/A
sin-diff-revN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
fp-cancel-sub-sign-invN/A
distribute-rgt-inN/A
Applied rewrites65.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f6465.6
lift-*.f64N/A
Applied rewrites65.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ phi2 2.0)))
(t_1 (sin (/ (- phi1 phi2) 2.0)))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (* (* (* (cos phi1) (cos phi2)) t_2) t_2))
(t_4 (sin (/ phi1 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (- (* t_4 (cos (/ phi2 2.0))) (* (cos (/ phi1 2.0)) t_0)) 2.0)
t_3))
(sqrt
(-
1.0
(+
(fma
(* (cos (/ phi2 -2.0)) t_4)
t_1
(* (* (- (cos (/ phi1 -2.0))) t_0) t_1))
t_3))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((phi2 / 2.0));
double t_1 = sin(((phi1 - phi2) / 2.0));
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = ((cos(phi1) * cos(phi2)) * t_2) * t_2;
double t_4 = sin((phi1 / 2.0));
return R * (2.0 * atan2(sqrt((pow(((t_4 * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * t_0)), 2.0) + t_3)), sqrt((1.0 - (fma((cos((phi2 / -2.0)) * t_4), t_1, ((-cos((phi1 / -2.0)) * t_0) * t_1)) + t_3)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(phi2 / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2) t_4 = sin(Float64(phi1 / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(t_4 * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * t_0)) ^ 2.0) + t_3)), sqrt(Float64(1.0 - Float64(fma(Float64(cos(Float64(phi2 / -2.0)) * t_4), t_1, Float64(Float64(Float64(-cos(Float64(phi1 / -2.0))) * t_0) * t_1)) + t_3)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(t$95$4 * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$1 + N[(N[((-N[Cos[N[(phi1 / -2.0), $MachinePrecision]], $MachinePrecision]) * t$95$0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\phi_2}{2}\right)\\
t_1 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
t_4 := \sin \left(\frac{\phi_1}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_4 \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot t\_0\right)}^{2} + t\_3}}{\sqrt{1 - \left(\mathsf{fma}\left(\cos \left(\frac{\phi_2}{-2}\right) \cdot t\_4, t\_1, \left(\left(-\cos \left(\frac{\phi_1}{-2}\right)\right) \cdot t\_0\right) \cdot t\_1\right) + t\_3\right)}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.1
Applied rewrites65.1%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lift-/.f64N/A
lift-/.f64N/A
sin-diff-revN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
fp-cancel-sub-sign-invN/A
distribute-rgt-inN/A
Applied rewrites65.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* (fma -1.0 phi2 phi1) 0.5)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt
(-
1.0
(fma
(* (cos (* 0.5 phi1)) t_0)
(sin (* -0.5 phi2))
(fma
(* t_0 (sin (* 0.5 phi1)))
(cos (* -0.5 phi2))
(*
(* (cos phi2) (cos phi1))
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((fma(-1.0, phi2, phi1) * 0.5));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
return R * (2.0 * atan2(sqrt((pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt((1.0 - fma((cos((0.5 * phi1)) * t_0), sin((-0.5 * phi2)), fma((t_0 * sin((0.5 * phi1))), cos((-0.5 * phi2)), ((cos(phi2) * cos(phi1)) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0))))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(fma(-1.0, phi2, phi1) * 0.5)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(1.0 - fma(Float64(cos(Float64(0.5 * phi1)) * t_0), sin(Float64(-0.5 * phi2)), fma(Float64(t_0 * sin(Float64(0.5 * phi1))), cos(Float64(-0.5 * phi2)), Float64(Float64(cos(phi2) * cos(phi1)) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(-1.0 * phi2 + phi1), $MachinePrecision] * 0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision] * N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[(t$95$0 * N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] + N[(N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\mathsf{fma}\left(-1, \phi_2, \phi_1\right) \cdot 0.5\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{1 - \mathsf{fma}\left(\cos \left(0.5 \cdot \phi_1\right) \cdot t\_0, \sin \left(-0.5 \cdot \phi_2\right), \mathsf{fma}\left(t\_0 \cdot \sin \left(0.5 \cdot \phi_1\right), \cos \left(-0.5 \cdot \phi_2\right), \left(\cos \phi_2 \cdot \cos \phi_1\right) \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right)\right)}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.1
Applied rewrites65.1%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lift-/.f64N/A
lift-/.f64N/A
sin-diff-revN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
fp-cancel-sub-sign-invN/A
distribute-rgt-inN/A
Applied rewrites65.6%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f6465.6
lift-*.f64N/A
Applied rewrites65.6%
Taylor expanded in phi1 around -inf
Applied rewrites65.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- phi1 phi2) 2.0)))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1))
(t_3 (sin (/ phi1 2.0))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* t_3 (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
t_2))
(sqrt
(-
1.0
(+
(+ (* (* (cos (/ phi2 -2.0)) t_3) t_0) (* (sin (* -0.5 phi2)) t_0))
t_2))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((phi1 - phi2) / 2.0));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = ((cos(phi1) * cos(phi2)) * t_1) * t_1;
double t_3 = sin((phi1 / 2.0));
return R * (2.0 * atan2(sqrt((pow(((t_3 * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + t_2)), sqrt((1.0 - ((((cos((phi2 / -2.0)) * t_3) * t_0) + (sin((-0.5 * phi2)) * t_0)) + t_2)))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
t_0 = sin(((phi1 - phi2) / 2.0d0))
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = ((cos(phi1) * cos(phi2)) * t_1) * t_1
t_3 = sin((phi1 / 2.0d0))
code = r * (2.0d0 * atan2(sqrt(((((t_3 * cos((phi2 / 2.0d0))) - (cos((phi1 / 2.0d0)) * sin((phi2 / 2.0d0)))) ** 2.0d0) + t_2)), sqrt((1.0d0 - ((((cos((phi2 / (-2.0d0))) * t_3) * t_0) + (sin(((-0.5d0) * phi2)) * t_0)) + t_2)))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((phi1 - phi2) / 2.0));
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = ((Math.cos(phi1) * Math.cos(phi2)) * t_1) * t_1;
double t_3 = Math.sin((phi1 / 2.0));
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(((t_3 * Math.cos((phi2 / 2.0))) - (Math.cos((phi1 / 2.0)) * Math.sin((phi2 / 2.0)))), 2.0) + t_2)), Math.sqrt((1.0 - ((((Math.cos((phi2 / -2.0)) * t_3) * t_0) + (Math.sin((-0.5 * phi2)) * t_0)) + t_2)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((phi1 - phi2) / 2.0)) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = ((math.cos(phi1) * math.cos(phi2)) * t_1) * t_1 t_3 = math.sin((phi1 / 2.0)) return R * (2.0 * math.atan2(math.sqrt((math.pow(((t_3 * math.cos((phi2 / 2.0))) - (math.cos((phi1 / 2.0)) * math.sin((phi2 / 2.0)))), 2.0) + t_2)), math.sqrt((1.0 - ((((math.cos((phi2 / -2.0)) * t_3) * t_0) + (math.sin((-0.5 * phi2)) * t_0)) + t_2)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(phi1 - phi2) / 2.0)) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1) t_3 = sin(Float64(phi1 / 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(t_3 * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + t_2)), sqrt(Float64(1.0 - Float64(Float64(Float64(Float64(cos(Float64(phi2 / -2.0)) * t_3) * t_0) + Float64(sin(Float64(-0.5 * phi2)) * t_0)) + t_2)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((phi1 - phi2) / 2.0)); t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = ((cos(phi1) * cos(phi2)) * t_1) * t_1; t_3 = sin((phi1 / 2.0)); tmp = R * (2.0 * atan2(sqrt(((((t_3 * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))) ^ 2.0) + t_2)), sqrt((1.0 - ((((cos((phi2 / -2.0)) * t_3) * t_0) + (sin((-0.5 * phi2)) * t_0)) + t_2))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(t$95$3 * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[(N[(N[Cos[N[(phi2 / -2.0), $MachinePrecision]], $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$0), $MachinePrecision] + N[(N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\phi_1 - \phi_2}{2}\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_3 := \sin \left(\frac{\phi_1}{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(t\_3 \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + t\_2}}{\sqrt{1 - \left(\left(\left(\cos \left(\frac{\phi_2}{-2}\right) \cdot t\_3\right) \cdot t\_0 + \sin \left(-0.5 \cdot \phi_2\right) \cdot t\_0\right) + t\_2\right)}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.1
Applied rewrites65.1%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lift-/.f64N/A
lift-/.f64N/A
sin-diff-revN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
fp-cancel-sub-sign-invN/A
distribute-rgt-inN/A
Applied rewrites65.6%
Taylor expanded in phi1 around 0
Applied rewrites65.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow
(-
(* (sin (/ phi1 2.0)) (cos (/ phi2 2.0)))
(* (cos (/ phi1 2.0)) (sin (/ phi2 2.0))))
2.0)
t_1))
(sqrt
(-
1.0
(+ (fma (cos (* (/ (- phi1 phi2) 2.0) -2.0)) -0.5 0.5) t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
return R * (2.0 * atan2(sqrt((pow(((sin((phi1 / 2.0)) * cos((phi2 / 2.0))) - (cos((phi1 / 2.0)) * sin((phi2 / 2.0)))), 2.0) + t_1)), sqrt((1.0 - (fma(cos((((phi1 - phi2) / 2.0) * -2.0)), -0.5, 0.5) + t_1)))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((Float64(Float64(sin(Float64(phi1 / 2.0)) * cos(Float64(phi2 / 2.0))) - Float64(cos(Float64(phi1 / 2.0)) * sin(Float64(phi2 / 2.0)))) ^ 2.0) + t_1)), sqrt(Float64(1.0 - Float64(fma(cos(Float64(Float64(Float64(phi1 - phi2) / 2.0) * -2.0)), -0.5, 0.5) + t_1)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[(N[(N[Sin[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Cos[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[(phi1 / 2.0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(phi2 / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(N[Cos[N[(N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision] * -2.0), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\left(\sin \left(\frac{\phi_1}{2}\right) \cdot \cos \left(\frac{\phi_2}{2}\right) - \cos \left(\frac{\phi_1}{2}\right) \cdot \sin \left(\frac{\phi_2}{2}\right)\right)}^{2} + t\_1}}{\sqrt{1 - \left(\mathsf{fma}\left(\cos \left(\frac{\phi_1 - \phi_2}{2} \cdot -2\right), -0.5, 0.5\right) + t\_1\right)}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
sin-diffN/A
lower--.f64N/A
lower-*.f64N/A
lower-sin.f64N/A
lower-/.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
lower-sin.f64N/A
lower-/.f6465.1
Applied rewrites65.1%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lift-/.f64N/A
lift-/.f64N/A
sin-diff-revN/A
lift-sin.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
fp-cancel-sub-sign-invN/A
distribute-rgt-inN/A
Applied rewrites65.6%
Applied rewrites65.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))) (t_1 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(- (pow (cos t_1) 2.0) (* t_0 (* (* t_0 (cos phi1)) (cos phi2))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((pow(cos(t_1), 2.0) - (t_0 * ((t_0 * cos(phi1)) * cos(phi2)))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_1) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((cos(t_1) ** 2.0d0) - (t_0 * ((t_0 * cos(phi1)) * cos(phi2)))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.sqrt((Math.pow(Math.cos(t_1), 2.0) - (t_0 * ((t_0 * Math.cos(phi1)) * Math.cos(phi2)))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))), math.sqrt((math.pow(math.cos(t_1), 2.0) - (t_0 * ((t_0 * math.cos(phi1)) * math.cos(phi2)))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64((cos(t_1) ^ 2.0) - Float64(t_0 * Float64(Float64(t_0 * cos(phi1)) * cos(phi2)))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_1) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((cos(t_1) ^ 2.0) - (t_0 * ((t_0 * cos(phi1)) * cos(phi2))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{{\cos t\_1}^{2} - t\_0 \cdot \left(\left(t\_0 \cdot \cos \phi_1\right) \cdot \cos \phi_2\right)}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6464.2
Applied rewrites64.2%
Applied rewrites64.2%
Final simplification64.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(if (or (<= t_0 -0.0002) (not (<= t_0 8e-27)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_1 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_1 (cos phi1)))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt (- 1.0 (pow (sin (* (- phi2 phi1) -0.5)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double tmp;
if ((t_0 <= -0.0002) || !(t_0 <= 8e-27)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_1 * cos(phi1))))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((1.0 - pow(sin(((phi2 - phi1) * -0.5)), 2.0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 tmp = 0.0 if ((t_0 <= -0.0002) || !(t_0 <= 8e-27)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_1 * cos(phi1))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(1.0 - (sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[t$95$0, -0.0002], N[Not[LessEqual[t$95$0, 8e-27]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
\mathbf{if}\;t\_0 \leq -0.0002 \lor \neg \left(t\_0 \leq 8 \cdot 10^{-27}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_1 \cdot \cos \phi_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{1 - {\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -2.0000000000000001e-4 or 8.0000000000000003e-27 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 59.6%
Taylor expanded in phi2 around 0
Applied rewrites50.4%
Taylor expanded in phi2 around 0
Applied rewrites50.6%
if -2.0000000000000001e-4 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 8.0000000000000003e-27Initial program 79.8%
Taylor expanded in lambda2 around 0
Applied rewrites79.8%
Taylor expanded in lambda1 around 0
Applied rewrites79.5%
Final simplification57.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)
(* (cos phi2) (cos phi1))
(pow (sin (* (- phi2 phi1) -0.5)) 2.0))))
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), (cos(phi2) * cos(phi1)), pow(sin(((phi2 - phi1) * -0.5)), 2.0));
return R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), Float64(cos(phi2) * cos(phi1)), (sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)) return Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_2 \cdot \cos \phi_1, {\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 64.1%
Taylor expanded in lambda1 around 0
Applied rewrites64.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))) (t_1 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
(- (- 1.0 (* (pow t_0 2.0) (* (cos phi2) (cos phi1)))) 0.5)
(* (cos (* t_1 -2.0)) -0.5))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((((1.0 - (pow(t_0, 2.0) * (cos(phi2) * cos(phi1)))) - 0.5) - (cos((t_1 * -2.0)) * -0.5)))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_1) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((((1.0d0 - ((t_0 ** 2.0d0) * (cos(phi2) * cos(phi1)))) - 0.5d0) - (cos((t_1 * (-2.0d0))) * (-0.5d0))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.sqrt((((1.0 - (Math.pow(t_0, 2.0) * (Math.cos(phi2) * Math.cos(phi1)))) - 0.5) - (Math.cos((t_1 * -2.0)) * -0.5)))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))), math.sqrt((((1.0 - (math.pow(t_0, 2.0) * (math.cos(phi2) * math.cos(phi1)))) - 0.5) - (math.cos((t_1 * -2.0)) * -0.5)))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(Float64(Float64(1.0 - Float64((t_0 ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - 0.5) - Float64(cos(Float64(t_1 * -2.0)) * -0.5)))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_1) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt((((1.0 - ((t_0 ^ 2.0) * (cos(phi2) * cos(phi1)))) - 0.5) - (cos((t_1 * -2.0)) * -0.5))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 - N[(N[Power[t$95$0, 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $MachinePrecision] - N[(N[Cos[N[(t$95$1 * -2.0), $MachinePrecision]], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\left(\left(1 - {t\_0}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - 0.5\right) - \cos \left(t\_1 \cdot -2\right) \cdot -0.5}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6464.2
Applied rewrites64.2%
Applied rewrites64.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0))) (t_1 (/ (- phi1 phi2) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_1) 2.0) (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(sqrt
(-
(- 1.0 (* (pow t_0 2.0) (* (cos phi2) (cos phi1))))
(- 0.5 (* 0.5 (cos (* 2.0 t_1)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * atan2(sqrt((pow(sin(t_1), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((1.0 - (pow(t_0, 2.0) * (cos(phi2) * cos(phi1)))) - (0.5 - (0.5 * cos((2.0 * t_1))))))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
real(8) :: t_0
real(8) :: t_1
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = (phi1 - phi2) / 2.0d0
code = r * (2.0d0 * atan2(sqrt(((sin(t_1) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((1.0d0 - ((t_0 ** 2.0d0) * (cos(phi2) * cos(phi1)))) - (0.5d0 - (0.5d0 * cos((2.0d0 * t_1))))))))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_1 = (phi1 - phi2) / 2.0;
return R * (2.0 * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))), Math.sqrt(((1.0 - (Math.pow(t_0, 2.0) * (Math.cos(phi2) * Math.cos(phi1)))) - (0.5 - (0.5 * Math.cos((2.0 * t_1))))))));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = (phi1 - phi2) / 2.0 return R * (2.0 * math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0))), math.sqrt(((1.0 - (math.pow(t_0, 2.0) * (math.cos(phi2) * math.cos(phi1)))) - (0.5 - (0.5 * math.cos((2.0 * t_1))))))))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(phi1 - phi2) / 2.0) return Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_1) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(Float64(Float64(1.0 - Float64((t_0 ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))))))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = (phi1 - phi2) / 2.0; tmp = R * (2.0 * atan2(sqrt(((sin(t_1) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))), sqrt(((1.0 - ((t_0 ^ 2.0) * (cos(phi2) * cos(phi1)))) - (0.5 - (0.5 * cos((2.0 * t_1)))))))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(N[Power[t$95$0, 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \frac{\phi_1 - \phi_2}{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0}}{\sqrt{\left(1 - {t\_0}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)}}\right)
\end{array}
\end{array}
Initial program 64.1%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites64.2%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6464.2
Applied rewrites64.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))
(t_2
(sqrt
(fma
(pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0))))
(t_3 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(if (<= phi2 -3e-5)
(*
R
(*
2.0
(atan2
t_2
(sqrt (fma (- (cos phi2)) t_3 (pow (cos (* -0.5 phi2)) 2.0))))))
(if (<= phi2 8.5e-7)
(*
R
(*
2.0
(atan2
(sqrt t_1)
(sqrt
(-
(fma 0.5 (fma (sin phi1) phi2 (cos phi1)) 0.5)
(* t_3 (cos phi1)))))))
(* R (* 2.0 (atan2 t_2 (sqrt (- 1.0 t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0);
double t_2 = sqrt(fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0)));
double t_3 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double tmp;
if (phi2 <= -3e-5) {
tmp = R * (2.0 * atan2(t_2, sqrt(fma(-cos(phi2), t_3, pow(cos((-0.5 * phi2)), 2.0)))));
} else if (phi2 <= 8.5e-7) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((fma(0.5, fma(sin(phi1), phi2, cos(phi1)), 0.5) - (t_3 * cos(phi1))))));
} else {
tmp = R * (2.0 * atan2(t_2, sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)) t_2 = sqrt(fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))) t_3 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 tmp = 0.0 if (phi2 <= -3e-5) tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(fma(Float64(-cos(phi2)), t_3, (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); elseif (phi2 <= 8.5e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(fma(0.5, fma(sin(phi1), phi2, cos(phi1)), 0.5) - Float64(t_3 * cos(phi1))))))); else tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(Float64(1.0 - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[phi2, -3e-5], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * t$95$3 + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 8.5e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$1], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[(N[Sin[phi1], $MachinePrecision] * phi2 + N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$3 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[(1.0 - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_2 := \sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}\\
t_3 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -3 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, t\_3, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{\mathsf{fma}\left(0.5, \mathsf{fma}\left(\sin \phi_1, \phi_2, \cos \phi_1\right), 0.5\right) - t\_3 \cdot \cos \phi_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi2 < -3.00000000000000008e-5Initial program 45.2%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites45.2%
Taylor expanded in phi1 around 0
Applied rewrites46.5%
Taylor expanded in phi1 around 0
Applied rewrites47.4%
if -3.00000000000000008e-5 < phi2 < 8.50000000000000014e-7Initial program 81.2%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6481.2
Applied rewrites81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.3%
if 8.50000000000000014e-7 < phi2 Initial program 41.4%
Taylor expanded in phi1 around 0
Applied rewrites42.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(fma
(pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0))))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (/ (- phi1 phi2) 2.0))
(t_3 (pow (sin t_2) 2.0))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (* (* (* (cos phi1) (cos phi2)) t_4) t_4)))
(if (<= phi2 -12.4)
(*
R
(*
2.0
(atan2
t_0
(sqrt (fma (- (cos phi2)) t_1 (pow (cos (* -0.5 phi2)) 2.0))))))
(if (<= phi2 8.5e-7)
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (* t_1 (cos phi1))))
(sqrt (- 1.0 (+ (- 0.5 (* 0.5 (cos (* 2.0 t_2)))) t_5))))))
(* R (* 2.0 (atan2 t_0 (sqrt (- 1.0 (+ t_3 t_5))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0)));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = (phi1 - phi2) / 2.0;
double t_3 = pow(sin(t_2), 2.0);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = ((cos(phi1) * cos(phi2)) * t_4) * t_4;
double tmp;
if (phi2 <= -12.4) {
tmp = R * (2.0 * atan2(t_0, sqrt(fma(-cos(phi2), t_1, pow(cos((-0.5 * phi2)), 2.0)))));
} else if (phi2 <= 8.5e-7) {
tmp = R * (2.0 * atan2(sqrt((t_3 + (t_1 * cos(phi1)))), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_2)))) + t_5)))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - (t_3 + t_5)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = Float64(Float64(phi1 - phi2) / 2.0) t_3 = sin(t_2) ^ 2.0 t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_4) * t_4) tmp = 0.0 if (phi2 <= -12.4) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(fma(Float64(-cos(phi2)), t_1, (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); elseif (phi2 <= 8.5e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64(t_1 * cos(phi1)))), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) + t_5)))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - Float64(t_3 + t_5)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]}, If[LessEqual[phi2, -12.4], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * t$95$1 + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 8.5e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(t$95$3 + t$95$5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
t_3 := {\sin t\_2}^{2}\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) \cdot t\_4\\
\mathbf{if}\;\phi_2 \leq -12.4:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, t\_1, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + t\_1 \cdot \cos \phi_1}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + t\_5\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \left(t\_3 + t\_5\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -12.4000000000000004Initial program 44.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites44.4%
Taylor expanded in phi1 around 0
Applied rewrites45.6%
Taylor expanded in phi1 around 0
Applied rewrites46.6%
if -12.4000000000000004 < phi2 < 8.50000000000000014e-7Initial program 81.3%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6481.4
Applied rewrites81.4%
Taylor expanded in phi2 around 0
Applied rewrites81.4%
if 8.50000000000000014e-7 < phi2 Initial program 41.4%
Taylor expanded in phi1 around 0
Applied rewrites42.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(fma
(pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0))))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (/ (- phi1 phi2) 2.0))
(t_3 (pow (sin t_2) 2.0))
(t_4 (sin (/ (- lambda1 lambda2) 2.0))))
(if (<= phi2 -12.4)
(*
R
(*
2.0
(atan2
t_0
(sqrt (fma (- (cos phi2)) t_1 (pow (cos (* -0.5 phi2)) 2.0))))))
(if (<= phi2 8.5e-7)
(*
R
(*
2.0
(atan2
(sqrt (+ t_3 (* t_1 (cos phi1))))
(sqrt
(-
1.0
(+
(- 0.5 (* 0.5 (cos (* 2.0 t_2))))
(* (* (* (cos phi1) (cos phi2)) t_4) t_4)))))))
(*
R
(*
2.0
(atan2
t_0
(sqrt
(- (- 1.0 (* (pow t_4 2.0) (* (cos phi2) (cos phi1)))) t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0)));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = (phi1 - phi2) / 2.0;
double t_3 = pow(sin(t_2), 2.0);
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if (phi2 <= -12.4) {
tmp = R * (2.0 * atan2(t_0, sqrt(fma(-cos(phi2), t_1, pow(cos((-0.5 * phi2)), 2.0)))));
} else if (phi2 <= 8.5e-7) {
tmp = R * (2.0 * atan2(sqrt((t_3 + (t_1 * cos(phi1)))), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_2)))) + (((cos(phi1) * cos(phi2)) * t_4) * t_4))))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt(((1.0 - (pow(t_4, 2.0) * (cos(phi2) * cos(phi1)))) - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = Float64(Float64(phi1 - phi2) / 2.0) t_3 = sin(t_2) ^ 2.0 t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if (phi2 <= -12.4) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(fma(Float64(-cos(phi2)), t_1, (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); elseif (phi2 <= 8.5e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(t_3 + Float64(t_1 * cos(phi1)))), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_4) * t_4))))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(Float64(1.0 - Float64((t_4 ^ 2.0) * Float64(cos(phi2) * cos(phi1)))) - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -12.4], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * t$95$1 + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 8.5e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 + N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(N[(1.0 - N[(N[Power[t$95$4, 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
t_3 := {\sin t\_2}^{2}\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_2 \leq -12.4:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, t\_1, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3 + t\_1 \cdot \cos \phi_1}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) \cdot t\_4\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{\left(1 - {t\_4}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)\right) - t\_3}}\right)\\
\end{array}
\end{array}
if phi2 < -12.4000000000000004Initial program 44.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites44.4%
Taylor expanded in phi1 around 0
Applied rewrites45.6%
Taylor expanded in phi1 around 0
Applied rewrites46.6%
if -12.4000000000000004 < phi2 < 8.50000000000000014e-7Initial program 81.3%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6481.4
Applied rewrites81.4%
Taylor expanded in phi2 around 0
Applied rewrites81.4%
if 8.50000000000000014e-7 < phi2 Initial program 41.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites41.4%
Taylor expanded in phi1 around 0
Applied rewrites42.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* -0.5 phi2)) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (/ (- phi1 phi2) 2.0))
(t_3 (sin (/ (- lambda1 lambda2) 2.0)))
(t_4
(sqrt
(-
1.0
(+
(- 0.5 (* 0.5 (cos (* 2.0 t_2))))
(* (* (* (cos phi1) (cos phi2)) t_3) t_3))))))
(if (<= phi2 -12.4)
(*
R
(*
2.0
(atan2
(sqrt
(fma (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0) (cos phi2) t_0))
(sqrt (fma (- (cos phi2)) t_1 (pow (cos (* -0.5 phi2)) 2.0))))))
(if (<= phi2 8.5e-7)
(*
R
(* 2.0 (atan2 (sqrt (+ (pow (sin t_2) 2.0) (* t_1 (cos phi1)))) t_4)))
(* R (* 2.0 (atan2 (sqrt (fma t_1 (cos phi2) t_0)) t_4)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((-0.5 * phi2)), 2.0);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = (phi1 - phi2) / 2.0;
double t_3 = sin(((lambda1 - lambda2) / 2.0));
double t_4 = sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_2)))) + (((cos(phi1) * cos(phi2)) * t_3) * t_3))));
double tmp;
if (phi2 <= -12.4) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), cos(phi2), t_0)), sqrt(fma(-cos(phi2), t_1, pow(cos((-0.5 * phi2)), 2.0)))));
} else if (phi2 <= 8.5e-7) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(t_2), 2.0) + (t_1 * cos(phi1)))), t_4));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, cos(phi2), t_0)), t_4));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(-0.5 * phi2)) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = Float64(Float64(phi1 - phi2) / 2.0) t_3 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_4 = sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_2)))) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_3) * t_3)))) tmp = 0.0 if (phi2 <= -12.4) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), cos(phi2), t_0)), sqrt(fma(Float64(-cos(phi2)), t_1, (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); elseif (phi2 <= 8.5e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_2) ^ 2.0) + Float64(t_1 * cos(phi1)))), t_4))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, cos(phi2), t_0)), t_4))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$3 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[phi2, -12.4], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * t$95$1 + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 8.5e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$2], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * N[Cos[phi2], $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / t$95$4], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \frac{\phi_1 - \phi_2}{2}\\
t_3 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_4 := \sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_2\right)\right) + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_3\right) \cdot t\_3\right)}\\
\mathbf{if}\;\phi_2 \leq -12.4:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_2, t\_0\right)}}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, t\_1, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_2}^{2} + t\_1 \cdot \cos \phi_1}}{t\_4}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, \cos \phi_2, t\_0\right)}}{t\_4}\right)\\
\end{array}
\end{array}
if phi2 < -12.4000000000000004Initial program 44.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites44.4%
Taylor expanded in phi1 around 0
Applied rewrites45.6%
Taylor expanded in phi1 around 0
Applied rewrites46.6%
if -12.4000000000000004 < phi2 < 8.50000000000000014e-7Initial program 81.3%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6481.4
Applied rewrites81.4%
Taylor expanded in phi2 around 0
Applied rewrites81.4%
if 8.50000000000000014e-7 < phi2 Initial program 41.4%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6441.4
Applied rewrites41.4%
Taylor expanded in phi1 around 0
Applied rewrites42.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0))
(t_2 (pow (sin (* -0.5 phi2)) 2.0))
(t_3 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_4 (/ (- phi1 phi2) 2.0)))
(if (<= phi2 -3e-5)
(*
R
(*
2.0
(atan2
(sqrt
(fma (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0) (cos phi2) t_2))
(sqrt (fma (- (cos phi2)) t_3 (pow (cos (* -0.5 phi2)) 2.0))))))
(if (<= phi2 8.5e-7)
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin t_4) 2.0) t_1))
(sqrt (- (fma 0.5 (cos phi1) 0.5) (* t_3 (cos phi1)))))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_3 (cos phi2) t_2))
(sqrt (- 1.0 (+ (- 0.5 (* 0.5 (cos (* 2.0 t_4)))) t_1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = ((cos(phi1) * cos(phi2)) * t_0) * t_0;
double t_2 = pow(sin((-0.5 * phi2)), 2.0);
double t_3 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_4 = (phi1 - phi2) / 2.0;
double tmp;
if (phi2 <= -3e-5) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), cos(phi2), t_2)), sqrt(fma(-cos(phi2), t_3, pow(cos((-0.5 * phi2)), 2.0)))));
} else if (phi2 <= 8.5e-7) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(t_4), 2.0) + t_1)), sqrt((fma(0.5, cos(phi1), 0.5) - (t_3 * cos(phi1))))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_3, cos(phi2), t_2)), sqrt((1.0 - ((0.5 - (0.5 * cos((2.0 * t_4)))) + t_1)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0) t_2 = sin(Float64(-0.5 * phi2)) ^ 2.0 t_3 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_4 = Float64(Float64(phi1 - phi2) / 2.0) tmp = 0.0 if (phi2 <= -3e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), cos(phi2), t_2)), sqrt(fma(Float64(-cos(phi2)), t_3, (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); elseif (phi2 <= 8.5e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_4) ^ 2.0) + t_1)), sqrt(Float64(fma(0.5, cos(phi1), 0.5) - Float64(t_3 * cos(phi1))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_3, cos(phi2), t_2)), sqrt(Float64(1.0 - Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_4)))) + t_1)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[phi2, -3e-5], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * t$95$3 + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 8.5e-7], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$4], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$3 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 * N[Cos[phi2], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$4), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\\
t_2 := {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\\
t_3 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_4 := \frac{\phi_1 - \phi_2}{2}\\
\mathbf{if}\;\phi_2 \leq -3 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_2, t\_2\right)}}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, t\_3, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_4}^{2} + t\_1}}{\sqrt{\mathsf{fma}\left(0.5, \cos \phi_1, 0.5\right) - t\_3 \cdot \cos \phi_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, \cos \phi_2, t\_2\right)}}{\sqrt{1 - \left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_4\right)\right) + t\_1\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -3.00000000000000008e-5Initial program 45.2%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites45.2%
Taylor expanded in phi1 around 0
Applied rewrites46.5%
Taylor expanded in phi1 around 0
Applied rewrites47.4%
if -3.00000000000000008e-5 < phi2 < 8.50000000000000014e-7Initial program 81.2%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6481.2
Applied rewrites81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.2%
if 8.50000000000000014e-7 < phi2 Initial program 41.4%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6441.4
Applied rewrites41.4%
Taylor expanded in phi1 around 0
Applied rewrites42.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0))))
(if (or (<= phi2 -3e-5) (not (<= phi2 8.5e-7)))
(*
R
(*
2.0
(atan2
(sqrt
(fma
(pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)
(cos phi2)
(pow (sin (* -0.5 phi2)) 2.0)))
(sqrt (fma (- (cos phi2)) t_0 (pow (cos (* -0.5 phi2)) 2.0))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(sqrt (- (fma 0.5 (cos phi1) 0.5) (* t_0 (cos phi1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double tmp;
if ((phi2 <= -3e-5) || !(phi2 <= 8.5e-7)) {
tmp = R * (2.0 * atan2(sqrt(fma(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0), cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt(fma(-cos(phi2), t_0, pow(cos((-0.5 * phi2)), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt((fma(0.5, cos(phi1), 0.5) - (t_0 * cos(phi1))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) tmp = 0.0 if ((phi2 <= -3e-5) || !(phi2 <= 8.5e-7)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0), cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(fma(Float64(-cos(phi2)), t_0, (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1))), sqrt(Float64(fma(0.5, cos(phi1), 0.5) - Float64(t_0 * cos(phi1))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[phi2, -3e-5], N[Not[LessEqual[phi2, 8.5e-7]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * t$95$0 + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(0.5 * N[Cos[phi1], $MachinePrecision] + 0.5), $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
\mathbf{if}\;\phi_2 \leq -3 \cdot 10^{-5} \lor \neg \left(\phi_2 \leq 8.5 \cdot 10^{-7}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left({\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, t\_0, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1}}{\sqrt{\mathsf{fma}\left(0.5, \cos \phi_1, 0.5\right) - t\_0 \cdot \cos \phi_1}}\right)\\
\end{array}
\end{array}
if phi2 < -3.00000000000000008e-5 or 8.50000000000000014e-7 < phi2 Initial program 43.6%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites43.6%
Taylor expanded in phi1 around 0
Applied rewrites44.7%
Taylor expanded in phi1 around 0
Applied rewrites45.2%
if -3.00000000000000008e-5 < phi2 < 8.50000000000000014e-7Initial program 81.2%
lift-pow.f64N/A
unpow2N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f6481.2
Applied rewrites81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.2%
Final simplification64.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (* t_0 (cos phi1))))
(if (or (<= phi2 -3e-5) (not (<= phi2 8.5e-7)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(fma
(- (cos phi2))
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (cos (* -0.5 phi2)) 2.0))))))
(*
R
(*
2.0
(atan2
(sqrt
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (fma (* -0.5 phi2) phi2 1.0) t_1)))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = t_0 * cos(phi1);
double tmp;
if ((phi2 <= -3e-5) || !(phi2 <= 8.5e-7)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt(fma(-cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(cos((-0.5 * phi2)), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (fma((-0.5 * phi2), phi2, 1.0) * t_1))), sqrt((pow(cos((-0.5 * phi1)), 2.0) - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = Float64(t_0 * cos(phi1)) tmp = 0.0 if ((phi2 <= -3e-5) || !(phi2 <= 8.5e-7)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(fma(Float64(-cos(phi2)), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(fma(Float64(-0.5 * phi2), phi2, 1.0) * t_1))), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -3e-5], N[Not[LessEqual[phi2, 8.5e-7]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(-0.5 * phi2), $MachinePrecision] * phi2 + 1.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := t\_0 \cdot \cos \phi_1\\
\mathbf{if}\;\phi_2 \leq -3 \cdot 10^{-5} \lor \neg \left(\phi_2 \leq 8.5 \cdot 10^{-7}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \mathsf{fma}\left(-0.5 \cdot \phi_2, \phi_2, 1\right) \cdot t\_1}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_1}}\right)\\
\end{array}
\end{array}
if phi2 < -3.00000000000000008e-5 or 8.50000000000000014e-7 < phi2 Initial program 43.6%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites43.6%
Taylor expanded in phi1 around 0
Applied rewrites44.7%
Taylor expanded in phi1 around 0
Applied rewrites45.2%
if -3.00000000000000008e-5 < phi2 < 8.50000000000000014e-7Initial program 81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.2%
Final simplification64.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(t_1 (* t_0 (cos phi1))))
(if (or (<= phi2 -3e-5) (not (<= phi2 8.5e-7)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(fma
(- (cos phi2))
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (cos (* -0.5 phi2)) 2.0))))))
(*
R
(*
2.0
(atan2
(sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) t_1))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) t_1))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double t_1 = t_0 * cos(phi1);
double tmp;
if ((phi2 <= -3e-5) || !(phi2 <= 8.5e-7)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt(fma(-cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(cos((-0.5 * phi2)), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + t_1)), sqrt((pow(cos((-0.5 * phi1)), 2.0) - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 t_1 = Float64(t_0 * cos(phi1)) tmp = 0.0 if ((phi2 <= -3e-5) || !(phi2 <= 8.5e-7)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(fma(Float64(-cos(phi2)), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + t_1)), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - t_1))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[phi2, -3e-5], N[Not[LessEqual[phi2, 8.5e-7]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
t_1 := t\_0 \cdot \cos \phi_1\\
\mathbf{if}\;\phi_2 \leq -3 \cdot 10^{-5} \lor \neg \left(\phi_2 \leq 8.5 \cdot 10^{-7}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_1}}\right)\\
\end{array}
\end{array}
if phi2 < -3.00000000000000008e-5 or 8.50000000000000014e-7 < phi2 Initial program 43.6%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites43.6%
Taylor expanded in phi1 around 0
Applied rewrites44.7%
Taylor expanded in phi1 around 0
Applied rewrites45.2%
if -3.00000000000000008e-5 < phi2 < 8.50000000000000014e-7Initial program 81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.2%
Final simplification64.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(if (or (<= phi2 -6.5e-9) (not (<= phi2 5.8e-7)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(sqrt
(fma
(- (cos phi2))
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(pow (cos (* -0.5 phi2)) 2.0))))))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(sqrt (- (pow (cos (* -0.5 phi1)) 2.0) (* t_0 (cos phi1))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin(((lambda2 - lambda1) * -0.5)), 2.0);
double tmp;
if ((phi2 <= -6.5e-9) || !(phi2 <= 5.8e-7)) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0))), sqrt(fma(-cos(phi2), pow(sin((0.5 * (lambda1 - lambda2))), 2.0), pow(cos((-0.5 * phi2)), 2.0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0))), sqrt((pow(cos((-0.5 * phi1)), 2.0) - (t_0 * cos(phi1))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0 tmp = 0.0 if ((phi2 <= -6.5e-9) || !(phi2 <= 5.8e-7)) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0))), sqrt(fma(Float64(-cos(phi2)), (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), (cos(Float64(-0.5 * phi2)) ^ 2.0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))), sqrt(Float64((cos(Float64(-0.5 * phi1)) ^ 2.0) - Float64(t_0 * cos(phi1))))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[Or[LessEqual[phi2, -6.5e-9], N[Not[LessEqual[phi2, 5.8e-7]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[((-N[Cos[phi2], $MachinePrecision]) * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Cos[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(-0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}\\
\mathbf{if}\;\phi_2 \leq -6.5 \cdot 10^{-9} \lor \neg \left(\phi_2 \leq 5.8 \cdot 10^{-7}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}{\sqrt{\mathsf{fma}\left(-\cos \phi_2, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, {\cos \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}{\sqrt{{\cos \left(-0.5 \cdot \phi_1\right)}^{2} - t\_0 \cdot \cos \phi_1}}\right)\\
\end{array}
\end{array}
if phi2 < -6.5000000000000003e-9 or 5.7999999999999995e-7 < phi2 Initial program 44.2%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
Applied rewrites44.2%
Taylor expanded in phi1 around 0
Applied rewrites45.1%
Taylor expanded in phi1 around 0
Applied rewrites45.6%
if -6.5000000000000003e-9 < phi2 < 5.7999999999999995e-7Initial program 81.2%
Taylor expanded in phi2 around 0
Applied rewrites81.3%
Taylor expanded in phi2 around 0
Applied rewrites79.2%
Final simplification63.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sqrt (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(t_1 (/ (- lambda1 lambda2) 2.0))
(t_2 (sin t_1))
(t_3 (/ (- phi1 phi2) 2.0)))
(if (<= t_1 -1.0)
(*
R
(*
2.0
(atan2
t_0
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0)))))))
(if (<= t_1 5.0)
(*
R
(*
2.0
(atan2
(sqrt
(+ (pow (sin t_3) 2.0) (* (* (* (cos phi1) (cos phi2)) t_2) t_2)))
(sqrt (- 1.0 (pow (sin (* (- phi2 phi1) -0.5)) 2.0))))))
(*
(atan2
t_0
(sqrt
(- (pow (cos t_3) 2.0) (* (pow t_2 2.0) (* (cos phi2) (cos phi1))))))
(* R 2.0))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0));
double t_1 = (lambda1 - lambda2) / 2.0;
double t_2 = sin(t_1);
double t_3 = (phi1 - phi2) / 2.0;
double tmp;
if (t_1 <= -1.0) {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0))))));
} else if (t_1 <= 5.0) {
tmp = R * (2.0 * atan2(sqrt((pow(sin(t_3), 2.0) + (((cos(phi1) * cos(phi2)) * t_2) * t_2))), sqrt((1.0 - pow(sin(((phi2 - phi1) * -0.5)), 2.0)))));
} else {
tmp = atan2(t_0, sqrt((pow(cos(t_3), 2.0) - (pow(t_2, 2.0) * (cos(phi2) * cos(phi1)))))) * (R * 2.0);
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0)) t_1 = Float64(Float64(lambda1 - lambda2) / 2.0) t_2 = sin(t_1) t_3 = Float64(Float64(phi1 - phi2) / 2.0) tmp = 0.0 if (t_1 <= -1.0) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))))))); elseif (t_1 <= 5.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64((sin(t_3) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2))), sqrt(Float64(1.0 - (sin(Float64(Float64(phi2 - phi1) * -0.5)) ^ 2.0)))))); else tmp = Float64(atan(t_0, sqrt(Float64((cos(t_3) ^ 2.0) - Float64((t_2 ^ 2.0) * Float64(cos(phi2) * cos(phi1)))))) * Float64(R * 2.0)); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]}, If[LessEqual[t$95$1, -1.0], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 5.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$3], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[Power[N[Sin[N[(N[(phi2 - phi1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[ArcTan[t$95$0 / N[Sqrt[N[(N[Power[N[Cos[t$95$3], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Power[t$95$2, 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}}\\
t_1 := \frac{\lambda_1 - \lambda_2}{2}\\
t_2 := \sin t\_1\\
t_3 := \frac{\phi_1 - \phi_2}{2}\\
\mathbf{if}\;t\_1 \leq -1:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)\\
\mathbf{elif}\;t\_1 \leq 5:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_3}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2}}{\sqrt{1 - {\sin \left(\left(\phi_2 - \phi_1\right) \cdot -0.5\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\tan^{-1}_* \frac{t\_0}{\sqrt{{\cos t\_3}^{2} - {t\_2}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)}} \cdot \left(R \cdot 2\right)\\
\end{array}
\end{array}
if (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < -1Initial program 55.0%
Taylor expanded in phi2 around 0
Applied rewrites43.4%
Taylor expanded in phi1 around 0
Applied rewrites33.9%
Taylor expanded in phi2 around 0
Applied rewrites34.2%
if -1 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) < 5Initial program 80.1%
Taylor expanded in lambda2 around 0
Applied rewrites79.2%
Taylor expanded in lambda1 around 0
Applied rewrites77.7%
if 5 < (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)) Initial program 62.5%
Taylor expanded in phi2 around 0
Applied rewrites47.6%
Taylor expanded in phi1 around 0
Applied rewrites39.2%
Applied rewrites39.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(atan2
(sqrt (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(sqrt
(-
(pow (cos (/ (- phi1 phi2) 2.0)) 2.0)
(*
(pow (sin (/ (- lambda1 lambda2) 2.0)) 2.0)
(* (cos phi2) (cos phi1))))))
(* R 2.0)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return atan2(sqrt(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0)), sqrt((pow(cos(((phi1 - phi2) / 2.0)), 2.0) - (pow(sin(((lambda1 - lambda2) / 2.0)), 2.0) * (cos(phi2) * cos(phi1)))))) * (R * 2.0);
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(r, lambda1, lambda2, phi1, phi2)
use fmin_fmax_functions
real(8), intent (in) :: r
real(8), intent (in) :: lambda1
real(8), intent (in) :: lambda2
real(8), intent (in) :: phi1
real(8), intent (in) :: phi2
code = atan2(sqrt((sin(((lambda2 - lambda1) * (-0.5d0))) ** 2.0d0)), sqrt(((cos(((phi1 - phi2) / 2.0d0)) ** 2.0d0) - ((sin(((lambda1 - lambda2) / 2.0d0)) ** 2.0d0) * (cos(phi2) * cos(phi1)))))) * (r * 2.0d0)
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return Math.atan2(Math.sqrt(Math.pow(Math.sin(((lambda2 - lambda1) * -0.5)), 2.0)), Math.sqrt((Math.pow(Math.cos(((phi1 - phi2) / 2.0)), 2.0) - (Math.pow(Math.sin(((lambda1 - lambda2) / 2.0)), 2.0) * (Math.cos(phi2) * Math.cos(phi1)))))) * (R * 2.0);
}
def code(R, lambda1, lambda2, phi1, phi2): return math.atan2(math.sqrt(math.pow(math.sin(((lambda2 - lambda1) * -0.5)), 2.0)), math.sqrt((math.pow(math.cos(((phi1 - phi2) / 2.0)), 2.0) - (math.pow(math.sin(((lambda1 - lambda2) / 2.0)), 2.0) * (math.cos(phi2) * math.cos(phi1)))))) * (R * 2.0)
function code(R, lambda1, lambda2, phi1, phi2) return Float64(atan(sqrt((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0)), sqrt(Float64((cos(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) - Float64((sin(Float64(Float64(lambda1 - lambda2) / 2.0)) ^ 2.0) * Float64(cos(phi2) * cos(phi1)))))) * Float64(R * 2.0)) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) tmp = atan2(sqrt((sin(((lambda2 - lambda1) * -0.5)) ^ 2.0)), sqrt(((cos(((phi1 - phi2) / 2.0)) ^ 2.0) - ((sin(((lambda1 - lambda2) / 2.0)) ^ 2.0) * (cos(phi2) * cos(phi1)))))) * (R * 2.0); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[N[Cos[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] - N[(N[Power[N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(R * 2.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{{\cos \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} - {\sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)}^{2} \cdot \left(\cos \phi_2 \cdot \cos \phi_1\right)}} \cdot \left(R \cdot 2\right)
\end{array}
Initial program 64.1%
Taylor expanded in phi2 around 0
Applied rewrites48.5%
Taylor expanded in phi1 around 0
Applied rewrites31.8%
Applied rewrites31.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))))
(if (or (<= lambda1 -2.4e+20) (not (<= lambda1 1.4e-14)))
(* R (* 2.0 (atan2 (sqrt (pow (sin (* 0.5 lambda1)) 2.0)) t_0)))
(* R (* 2.0 (atan2 (sqrt (pow (sin (* -0.5 lambda2)) 2.0)) t_0))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0))));
double tmp;
if ((lambda1 <= -2.4e+20) || !(lambda1 <= 1.4e-14)) {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * lambda1)), 2.0)), t_0));
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((-0.5 * lambda2)), 2.0)), t_0));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)))) tmp = 0.0 if ((lambda1 <= -2.4e+20) || !(lambda1 <= 1.4e-14)) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * lambda1)) ^ 2.0)), t_0))); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(-0.5 * lambda2)) ^ 2.0)), t_0))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[lambda1, -2.4e+20], N[Not[LessEqual[lambda1, 1.4e-14]], $MachinePrecision]], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}\\
\mathbf{if}\;\lambda_1 \leq -2.4 \cdot 10^{+20} \lor \neg \left(\lambda_1 \leq 1.4 \cdot 10^{-14}\right):\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \lambda_1\right)}^{2}}}{t\_0}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(-0.5 \cdot \lambda_2\right)}^{2}}}{t\_0}\right)\\
\end{array}
\end{array}
if lambda1 < -2.4e20 or 1.4e-14 < lambda1 Initial program 51.8%
Taylor expanded in phi2 around 0
Applied rewrites40.5%
Taylor expanded in phi1 around 0
Applied rewrites31.2%
Taylor expanded in phi2 around 0
Applied rewrites31.2%
Taylor expanded in lambda2 around 0
Applied rewrites30.3%
if -2.4e20 < lambda1 < 1.4e-14Initial program 74.2%
Taylor expanded in phi2 around 0
Applied rewrites55.1%
Taylor expanded in phi1 around 0
Applied rewrites32.3%
Taylor expanded in phi2 around 0
Applied rewrites32.2%
Taylor expanded in lambda1 around 0
Applied rewrites32.0%
Final simplification31.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sqrt (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0)))
(t_1 (pow (sin (* 0.5 phi1)) 2.0)))
(if (<= lambda1 8500000000.0)
(*
R
(*
2.0
(atan2
t_0
(sqrt (- 1.0 (fma (pow (sin (* -0.5 lambda2)) 2.0) (cos phi1) t_1))))))
(*
R
(*
2.0
(atan2
t_0
(sqrt
(- 1.0 (fma (pow (sin (* 0.5 lambda1)) 2.0) (cos phi1) t_1)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sqrt(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0));
double t_1 = pow(sin((0.5 * phi1)), 2.0);
double tmp;
if (lambda1 <= 8500000000.0) {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(pow(sin((-0.5 * lambda2)), 2.0), cos(phi1), t_1)))));
} else {
tmp = R * (2.0 * atan2(t_0, sqrt((1.0 - fma(pow(sin((0.5 * lambda1)), 2.0), cos(phi1), t_1)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sqrt((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0)) t_1 = sin(Float64(0.5 * phi1)) ^ 2.0 tmp = 0.0 if (lambda1 <= 8500000000.0) tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), cos(phi1), t_1)))))); else tmp = Float64(R * Float64(2.0 * atan(t_0, sqrt(Float64(1.0 - fma((sin(Float64(0.5 * lambda1)) ^ 2.0), cos(phi1), t_1)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sqrt[N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[lambda1, 8500000000.0], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$0 / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}}\\
t_1 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
\mathbf{if}\;\lambda_1 \leq 8500000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \cos \phi_1, t\_1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_0}{\sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, \cos \phi_1, t\_1\right)}}\right)\\
\end{array}
\end{array}
if lambda1 < 8.5e9Initial program 67.1%
Taylor expanded in phi2 around 0
Applied rewrites50.9%
Taylor expanded in phi1 around 0
Applied rewrites30.8%
Taylor expanded in phi2 around 0
Applied rewrites30.8%
Taylor expanded in lambda1 around 0
Applied rewrites29.2%
if 8.5e9 < lambda1 Initial program 53.2%
Taylor expanded in phi2 around 0
Applied rewrites39.6%
Taylor expanded in phi1 around 0
Applied rewrites35.7%
Taylor expanded in phi2 around 0
Applied rewrites35.4%
Taylor expanded in lambda2 around 0
Applied rewrites35.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0)))
(if (<= lambda1 8500000000.0)
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(sqrt (- 1.0 (fma (pow (sin (* -0.5 lambda2)) 2.0) (cos phi1) t_0))))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 lambda1)) 2.0))
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * phi1)), 2.0);
double tmp;
if (lambda1 <= 8500000000.0) {
tmp = R * (2.0 * atan2(sqrt(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0)), sqrt((1.0 - fma(pow(sin((-0.5 * lambda2)), 2.0), cos(phi1), t_0)))));
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * lambda1)), 2.0)), sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), t_0)))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) ^ 2.0 tmp = 0.0 if (lambda1 <= 8500000000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0)), sqrt(Float64(1.0 - fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), cos(phi1), t_0)))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * lambda1)) ^ 2.0)), sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), t_0)))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[lambda1, 8500000000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
\mathbf{if}\;\lambda_1 \leq 8500000000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \cos \phi_1, t\_0\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \lambda_1\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, t\_0\right)}}\right)\\
\end{array}
\end{array}
if lambda1 < 8.5e9Initial program 67.1%
Taylor expanded in phi2 around 0
Applied rewrites50.9%
Taylor expanded in phi1 around 0
Applied rewrites30.8%
Taylor expanded in phi2 around 0
Applied rewrites30.8%
Taylor expanded in lambda1 around 0
Applied rewrites29.2%
if 8.5e9 < lambda1 Initial program 53.2%
Taylor expanded in phi2 around 0
Applied rewrites39.6%
Taylor expanded in phi1 around 0
Applied rewrites35.7%
Taylor expanded in phi2 around 0
Applied rewrites35.4%
Taylor expanded in lambda2 around 0
Applied rewrites35.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
(* R 2.0)
(atan2
(sqrt (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return (R * 2.0) * atan2(sqrt(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0)), sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0)))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(Float64(R * 2.0) * atan(sqrt((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0)), sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}
\end{array}
Initial program 64.1%
Taylor expanded in phi2 around 0
Applied rewrites48.5%
Taylor expanded in phi1 around 0
Applied rewrites31.8%
Taylor expanded in phi2 around 0
Applied rewrites31.8%
lift-*.f64N/A
Applied rewrites31.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* (- lambda2 lambda1) -0.5)) 2.0))
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin(((lambda2 - lambda1) * -0.5)), 2.0)), sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(Float64(lambda2 - lambda1) * -0.5)) ^ 2.0)), sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(N[(lambda2 - lambda1), $MachinePrecision] * -0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(\left(\lambda_2 - \lambda_1\right) \cdot -0.5\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)
\end{array}
Initial program 64.1%
Taylor expanded in phi2 around 0
Applied rewrites48.5%
Taylor expanded in phi1 around 0
Applied rewrites31.8%
Taylor expanded in phi2 around 0
Applied rewrites31.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* -0.5 lambda2)) 2.0))
(sqrt
(-
1.0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
return R * (2.0 * atan2(sqrt(pow(sin((-0.5 * lambda2)), 2.0)), sqrt((1.0 - fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) return Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(-0.5 * lambda2)) ^ 2.0)), sqrt(Float64(1.0 - fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(-0.5 \cdot \lambda_2\right)}^{2}}}{\sqrt{1 - \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)
\end{array}
Initial program 64.1%
Taylor expanded in phi2 around 0
Applied rewrites48.5%
Taylor expanded in phi1 around 0
Applied rewrites31.8%
Taylor expanded in phi2 around 0
Applied rewrites31.8%
Taylor expanded in lambda1 around 0
Applied rewrites23.8%
herbie shell --seed 2025019
(FPCore (R lambda1 lambda2 phi1 phi2)
:name "Distance on a great circle"
:precision binary64
(* R (* 2.0 (atan2 (sqrt (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* (* (cos phi1) (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0))) (sin (/ (- lambda1 lambda2) 2.0))))) (sqrt (- 1.0 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* (* (* (cos phi1) (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0))) (sin (/ (- lambda1 lambda2) 2.0))))))))))