
(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}
Herbie found 31 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 (sin (* 0.5 (- phi1 phi2))))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (* t_1 (cos phi2)))
(t_3 (pow (sin (* 0.5 phi1)) 2.0))
(t_4 (+ (* t_1 (cos phi1)) t_3))
(t_5 (- 1.0 (pow t_0 2.0)))
(t_6 (* t_2 (+ 1.0 (* -0.5 (* phi1 phi1))))))
(if (<= phi1 -0.0078)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_1 t_3))
(sqrt (- t_5 (* t_2 (cos phi1))))))
(if (<= phi1 0.0021)
(* (* R 2.0) (atan2 (sqrt (fma t_0 t_0 t_6)) (sqrt (- t_5 t_6))))
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (phi1 - phi2)));
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = t_1 * cos(phi2);
double t_3 = pow(sin((0.5 * phi1)), 2.0);
double t_4 = (t_1 * cos(phi1)) + t_3;
double t_5 = 1.0 - pow(t_0, 2.0);
double t_6 = t_2 * (1.0 + (-0.5 * (phi1 * phi1)));
double tmp;
if (phi1 <= -0.0078) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_1, t_3)), sqrt((t_5 - (t_2 * cos(phi1)))));
} else if (phi1 <= 0.0021) {
tmp = (R * 2.0) * atan2(sqrt(fma(t_0, t_0, t_6)), sqrt((t_5 - t_6)));
} else {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = Float64(t_1 * cos(phi2)) t_3 = sin(Float64(0.5 * phi1)) ^ 2.0 t_4 = Float64(Float64(t_1 * cos(phi1)) + t_3) t_5 = Float64(1.0 - (t_0 ^ 2.0)) t_6 = Float64(t_2 * Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1)))) tmp = 0.0 if (phi1 <= -0.0078) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_1, t_3)), sqrt(Float64(t_5 - Float64(t_2 * cos(phi1)))))); elseif (phi1 <= 0.0021) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(t_0, t_0, t_6)), sqrt(Float64(t_5 - t_6)))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Sin[N[(0.5 * N[(phi1 - phi2), $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[(t$95$1 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(1.0 - N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$2 * N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.0078], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$1 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$5 - N[(t$95$2 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.0021], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 * t$95$0 + t$95$6), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$5 - t$95$6), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := t\_1 \cdot \cos \phi_2\\
t_3 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_4 := t\_1 \cdot \cos \phi_1 + t\_3\\
t_5 := 1 - {t\_0}^{2}\\
t_6 := t\_2 \cdot \left(1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\\
\mathbf{if}\;\phi_1 \leq -0.0078:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_1, t\_3\right)}}{\sqrt{t\_5 - t\_2 \cdot \cos \phi_1}}\\
\mathbf{elif}\;\phi_1 \leq 0.0021:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, t\_0, t\_6\right)}}{\sqrt{t\_5 - t\_6}}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\end{array}
\end{array}
if phi1 < -0.0077999999999999996Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6446.8
Applied rewrites46.8%
if -0.0077999999999999996 < phi1 < 0.00209999999999999987Initial program 62.1%
Applied rewrites62.0%
lift-+.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
unpow2N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
Applied rewrites62.0%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6442.6
Applied rewrites42.6%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6440.9
Applied rewrites40.9%
if 0.00209999999999999987 < phi1 Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (pow (sin (* 0.5 phi1)) 2.0))
(t_2 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_3 (- 1.0 t_2))
(t_4 (* t_0 (cos phi2)))
(t_5 (* t_4 1.0))
(t_6 (+ (* t_0 (cos phi1)) t_1)))
(if (<= phi1 -8.5e-5)
(*
(* R 2.0)
(atan2
(sqrt (fma (cos phi1) t_0 t_1))
(sqrt (- t_3 (* t_4 (cos phi1))))))
(if (<= phi1 0.00078)
(* (* R 2.0) (atan2 (sqrt (+ t_2 t_5)) (sqrt (- t_3 t_5))))
(* R (* 2.0 (atan2 (sqrt t_6) (sqrt (- 1.0 t_6)))))))))
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 = pow(sin((0.5 * phi1)), 2.0);
double t_2 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_3 = 1.0 - t_2;
double t_4 = t_0 * cos(phi2);
double t_5 = t_4 * 1.0;
double t_6 = (t_0 * cos(phi1)) + t_1;
double tmp;
if (phi1 <= -8.5e-5) {
tmp = (R * 2.0) * atan2(sqrt(fma(cos(phi1), t_0, t_1)), sqrt((t_3 - (t_4 * cos(phi1)))));
} else if (phi1 <= 0.00078) {
tmp = (R * 2.0) * atan2(sqrt((t_2 + t_5)), sqrt((t_3 - t_5)));
} else {
tmp = R * (2.0 * atan2(sqrt(t_6), sqrt((1.0 - t_6))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(0.5 * phi1)) ^ 2.0 t_2 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_3 = Float64(1.0 - t_2) t_4 = Float64(t_0 * cos(phi2)) t_5 = Float64(t_4 * 1.0) t_6 = Float64(Float64(t_0 * cos(phi1)) + t_1) tmp = 0.0 if (phi1 <= -8.5e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(fma(cos(phi1), t_0, t_1)), sqrt(Float64(t_3 - Float64(t_4 * cos(phi1)))))); elseif (phi1 <= 0.00078) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(t_2 + t_5)), sqrt(Float64(t_3 - t_5)))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_6), sqrt(Float64(1.0 - t_6))))); 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[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(1.0 - t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 * 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[phi1, -8.5e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 - N[(t$95$4 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.00078], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(t$95$3 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$6], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$6), $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(0.5 \cdot \phi_1\right)}^{2}\\
t_2 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_3 := 1 - t\_2\\
t_4 := t\_0 \cdot \cos \phi_2\\
t_5 := t\_4 \cdot 1\\
t_6 := t\_0 \cdot \cos \phi_1 + t\_1\\
\mathbf{if}\;\phi_1 \leq -8.5 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(\cos \phi_1, t\_0, t\_1\right)}}{\sqrt{t\_3 - t\_4 \cdot \cos \phi_1}}\\
\mathbf{elif}\;\phi_1 \leq 0.00078:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + t\_5}}{\sqrt{t\_3 - t\_5}}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_6}}{\sqrt{1 - t\_6}}\right)\\
\end{array}
\end{array}
if phi1 < -8.500000000000001e-5Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6446.8
Applied rewrites46.8%
if -8.500000000000001e-5 < phi1 < 7.79999999999999986e-4Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi1 around 0
Applied rewrites52.9%
Taylor expanded in phi1 around 0
Applied rewrites50.7%
if 7.79999999999999986e-4 < phi1 Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_1 (pow (sin (* 0.5 phi1)) 2.0))
(t_2 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_3 (* (* t_2 (cos phi2)) 1.0))
(t_4 (* (cos phi1) t_2))
(t_5 (+ (* t_2 (cos phi1)) t_1)))
(if (<= phi1 -80.0)
(* (* R 2.0) (atan2 (sqrt (+ t_0 t_4)) (sqrt (- (- 1.0 t_1) t_4))))
(if (<= phi1 0.00078)
(* (* R 2.0) (atan2 (sqrt (+ t_0 t_3)) (sqrt (- (- 1.0 t_0) t_3))))
(* R (* 2.0 (atan2 (sqrt t_5) (sqrt (- 1.0 t_5)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = pow(sin((0.5 * phi1)), 2.0);
double t_2 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_3 = (t_2 * cos(phi2)) * 1.0;
double t_4 = cos(phi1) * t_2;
double t_5 = (t_2 * cos(phi1)) + t_1;
double tmp;
if (phi1 <= -80.0) {
tmp = (R * 2.0) * atan2(sqrt((t_0 + t_4)), sqrt(((1.0 - t_1) - t_4)));
} else if (phi1 <= 0.00078) {
tmp = (R * 2.0) * atan2(sqrt((t_0 + t_3)), sqrt(((1.0 - t_0) - t_3)));
} else {
tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5))));
}
return tmp;
}
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
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_0 = sin((0.5d0 * (phi1 - phi2))) ** 2.0d0
t_1 = sin((0.5d0 * phi1)) ** 2.0d0
t_2 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_3 = (t_2 * cos(phi2)) * 1.0d0
t_4 = cos(phi1) * t_2
t_5 = (t_2 * cos(phi1)) + t_1
if (phi1 <= (-80.0d0)) then
tmp = (r * 2.0d0) * atan2(sqrt((t_0 + t_4)), sqrt(((1.0d0 - t_1) - t_4)))
else if (phi1 <= 0.00078d0) then
tmp = (r * 2.0d0) * atan2(sqrt((t_0 + t_3)), sqrt(((1.0d0 - t_0) - t_3)))
else
tmp = r * (2.0d0 * atan2(sqrt(t_5), sqrt((1.0d0 - t_5))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0);
double t_1 = Math.pow(Math.sin((0.5 * phi1)), 2.0);
double t_2 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_3 = (t_2 * Math.cos(phi2)) * 1.0;
double t_4 = Math.cos(phi1) * t_2;
double t_5 = (t_2 * Math.cos(phi1)) + t_1;
double tmp;
if (phi1 <= -80.0) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((t_0 + t_4)), Math.sqrt(((1.0 - t_1) - t_4)));
} else if (phi1 <= 0.00078) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((t_0 + t_3)), Math.sqrt(((1.0 - t_0) - t_3)));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_5), Math.sqrt((1.0 - t_5))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0) t_1 = math.pow(math.sin((0.5 * phi1)), 2.0) t_2 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_3 = (t_2 * math.cos(phi2)) * 1.0 t_4 = math.cos(phi1) * t_2 t_5 = (t_2 * math.cos(phi1)) + t_1 tmp = 0 if phi1 <= -80.0: tmp = (R * 2.0) * math.atan2(math.sqrt((t_0 + t_4)), math.sqrt(((1.0 - t_1) - t_4))) elif phi1 <= 0.00078: tmp = (R * 2.0) * math.atan2(math.sqrt((t_0 + t_3)), math.sqrt(((1.0 - t_0) - t_3))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_5), math.sqrt((1.0 - t_5)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_1 = sin(Float64(0.5 * phi1)) ^ 2.0 t_2 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_3 = Float64(Float64(t_2 * cos(phi2)) * 1.0) t_4 = Float64(cos(phi1) * t_2) t_5 = Float64(Float64(t_2 * cos(phi1)) + t_1) tmp = 0.0 if (phi1 <= -80.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(t_0 + t_4)), sqrt(Float64(Float64(1.0 - t_1) - t_4)))); elseif (phi1 <= 0.00078) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(t_0 + t_3)), sqrt(Float64(Float64(1.0 - t_0) - t_3)))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_5), sqrt(Float64(1.0 - t_5))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (phi1 - phi2))) ^ 2.0; t_1 = sin((0.5 * phi1)) ^ 2.0; t_2 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_3 = (t_2 * cos(phi2)) * 1.0; t_4 = cos(phi1) * t_2; t_5 = (t_2 * cos(phi1)) + t_1; tmp = 0.0; if (phi1 <= -80.0) tmp = (R * 2.0) * atan2(sqrt((t_0 + t_4)), sqrt(((1.0 - t_1) - t_4))); elseif (phi1 <= 0.00078) tmp = (R * 2.0) * atan2(sqrt((t_0 + t_3)), sqrt(((1.0 - t_0) - t_3))); else tmp = R * (2.0 * atan2(sqrt(t_5), sqrt((1.0 - t_5)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[Cos[phi1], $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$2 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, If[LessEqual[phi1, -80.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 + t$95$4), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.00078], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$0 + t$95$3), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$0), $MachinePrecision] - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$5], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_1 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_2 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_3 := \left(t\_2 \cdot \cos \phi_2\right) \cdot 1\\
t_4 := \cos \phi_1 \cdot t\_2\\
t_5 := t\_2 \cdot \cos \phi_1 + t\_1\\
\mathbf{if}\;\phi_1 \leq -80:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_4}}{\sqrt{\left(1 - t\_1\right) - t\_4}}\\
\mathbf{elif}\;\phi_1 \leq 0.00078:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_0 + t\_3}}{\sqrt{\left(1 - t\_0\right) - t\_3}}\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_5}}{\sqrt{1 - t\_5}}\right)\\
\end{array}
\end{array}
if phi1 < -80Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6448.4
Applied rewrites48.4%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6448.9
Applied rewrites48.9%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6449.0
Applied rewrites49.0%
if -80 < phi1 < 7.79999999999999986e-4Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi1 around 0
Applied rewrites52.9%
Taylor expanded in phi1 around 0
Applied rewrites50.7%
if 7.79999999999999986e-4 < phi1 Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (* (cos phi1) t_1))
(t_3 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_1 (cos phi2))))
(t_4 (+ (* t_1 (cos phi1)) t_0)))
(if (<= phi1 -80.0)
(*
(* R 2.0)
(atan2
(sqrt (+ (pow (sin (* 0.5 (- phi1 phi2))) 2.0) t_2))
(sqrt (- (- 1.0 t_0) t_2))))
(if (<= phi1 0.00078)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * phi1)), 2.0);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = cos(phi1) * t_1;
double t_3 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * cos(phi2));
double t_4 = (t_1 * cos(phi1)) + t_0;
double tmp;
if (phi1 <= -80.0) {
tmp = (R * 2.0) * atan2(sqrt((pow(sin((0.5 * (phi1 - phi2))), 2.0) + t_2)), sqrt(((1.0 - t_0) - t_2)));
} else if (phi1 <= 0.00078) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
}
return tmp;
}
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
real(8) :: t_4
real(8) :: tmp
t_0 = sin((0.5d0 * phi1)) ** 2.0d0
t_1 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_2 = cos(phi1) * t_1
t_3 = (sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (t_1 * cos(phi2))
t_4 = (t_1 * cos(phi1)) + t_0
if (phi1 <= (-80.0d0)) then
tmp = (r * 2.0d0) * atan2(sqrt(((sin((0.5d0 * (phi1 - phi2))) ** 2.0d0) + t_2)), sqrt(((1.0d0 - t_0) - t_2)))
else if (phi1 <= 0.00078d0) then
tmp = r * (2.0d0 * atan2(sqrt(t_3), sqrt((1.0d0 - t_3))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_4), sqrt((1.0d0 - t_4))))
end if
code = tmp
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = Math.pow(Math.sin((0.5 * phi1)), 2.0);
double t_1 = Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = Math.cos(phi1) * t_1;
double t_3 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * Math.cos(phi2));
double t_4 = (t_1 * Math.cos(phi1)) + t_0;
double tmp;
if (phi1 <= -80.0) {
tmp = (R * 2.0) * Math.atan2(Math.sqrt((Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0) + t_2)), Math.sqrt(((1.0 - t_0) - t_2)));
} else if (phi1 <= 0.00078) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_3), Math.sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_4), Math.sqrt((1.0 - t_4))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * phi1)), 2.0) t_1 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_2 = math.cos(phi1) * t_1 t_3 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (t_1 * math.cos(phi2)) t_4 = (t_1 * math.cos(phi1)) + t_0 tmp = 0 if phi1 <= -80.0: tmp = (R * 2.0) * math.atan2(math.sqrt((math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0) + t_2)), math.sqrt(((1.0 - t_0) - t_2))) elif phi1 <= 0.00078: tmp = R * (2.0 * math.atan2(math.sqrt(t_3), math.sqrt((1.0 - t_3)))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_4), math.sqrt((1.0 - t_4)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = Float64(cos(phi1) * t_1) t_3 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_1 * cos(phi2))) t_4 = Float64(Float64(t_1 * cos(phi1)) + t_0) tmp = 0.0 if (phi1 <= -80.0) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0) + t_2)), sqrt(Float64(Float64(1.0 - t_0) - t_2)))); elseif (phi1 <= 0.00078) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * phi1)) ^ 2.0; t_1 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_2 = cos(phi1) * t_1; t_3 = (sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (t_1 * cos(phi2)); t_4 = (t_1 * cos(phi1)) + t_0; tmp = 0.0; if (phi1 <= -80.0) tmp = (R * 2.0) * atan2(sqrt(((sin((0.5 * (phi1 - phi2))) ^ 2.0) + t_2)), sqrt(((1.0 - t_0) - t_2))); elseif (phi1 <= 0.00078) tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3)))); else tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4)))); end tmp_2 = 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]}, 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[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$1 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]}, If[LessEqual[phi1, -80.0], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$0), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[phi1, 0.00078], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := \cos \phi_1 \cdot t\_1\\
t_3 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_1 \cdot \cos \phi_2\\
t_4 := t\_1 \cdot \cos \phi_1 + t\_0\\
\mathbf{if}\;\phi_1 \leq -80:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2} + t\_2}}{\sqrt{\left(1 - t\_0\right) - t\_2}}\\
\mathbf{elif}\;\phi_1 \leq 0.00078:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\end{array}
\end{array}
if phi1 < -80Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6448.4
Applied rewrites48.4%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6448.9
Applied rewrites48.9%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6449.0
Applied rewrites49.0%
if -80 < phi1 < 7.79999999999999986e-4Initial program 62.1%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6453.0
Applied rewrites53.0%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6450.8
Applied rewrites50.8%
if 7.79999999999999986e-4 < phi1 Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_0 (cos phi1))))
(t_2 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -3800000.0)
t_3
(if (<= phi2 1.55e-5)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))
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 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * cos(phi1));
double t_2 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -3800000.0) {
tmp = t_3;
} else if (phi2 <= 1.55e-5) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * cos(phi1))) t_2 = fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -3800000.0) tmp = t_3; elseif (phi2 <= 1.55e-5) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; 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[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3800000.0], t$95$3, If[LessEqual[phi2, 1.55e-5], 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], t$95$3]]]]]]
\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{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \cos \phi_1\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -3800000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 1.55 \cdot 10^{-5}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -3.8e6 or 1.55000000000000007e-5 < phi2 Initial program 62.1%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.7%
if -3.8e6 < phi2 < 1.55000000000000007e-5Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6453.7
Applied rewrites53.7%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6451.7
Applied rewrites51.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (pow (sin (* 0.5 (- phi1 phi2))) 2.0))
(t_2 (* (cos phi1) t_0))
(t_3 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_4 (* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))
(if (<= phi2 -3800000.0)
t_4
(if (<= phi2 1.55e-5)
(* (* R 2.0) (atan2 (sqrt (+ t_1 t_2)) (sqrt (- (- 1.0 t_1) t_2))))
t_4))))
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 = pow(sin((0.5 * (phi1 - phi2))), 2.0);
double t_2 = cos(phi1) * t_0;
double t_3 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_4 = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
double tmp;
if (phi2 <= -3800000.0) {
tmp = t_4;
} else if (phi2 <= 1.55e-5) {
tmp = (R * 2.0) * atan2(sqrt((t_1 + t_2)), sqrt(((1.0 - t_1) - t_2)));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0 t_2 = Float64(cos(phi1) * t_0) t_3 = fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_4 = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))) tmp = 0.0 if (phi2 <= -3800000.0) tmp = t_4; elseif (phi2 <= 1.55e-5) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(t_1 + t_2)), sqrt(Float64(Float64(1.0 - t_1) - t_2)))); else tmp = t_4; 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[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3800000.0], t$95$4, If[LessEqual[phi2, 1.55e-5], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\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(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\\
t_2 := \cos \phi_1 \cdot t\_0\\
t_3 := \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{if}\;\phi_2 \leq -3800000:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\phi_2 \leq 1.55 \cdot 10^{-5}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_1 + t\_2}}{\sqrt{\left(1 - t\_1\right) - t\_2}}\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if phi2 < -3.8e6 or 1.55000000000000007e-5 < phi2 Initial program 62.1%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.7%
if -3.8e6 < phi2 < 1.55000000000000007e-5Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6453.6
Applied rewrites53.6%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6451.6
Applied rewrites51.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (* (cos phi1) t_0))
(t_2 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -3800000.0)
t_3
(if (<= phi2 4.8e-6)
(*
(* R 2.0)
(atan2
(sqrt (+ (pow (sin (* 0.5 (- phi1 phi2))) 2.0) t_1))
(sqrt (- (- 1.0 (pow (sin (* 0.5 phi1)) 2.0)) t_1))))
t_3))))
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 = cos(phi1) * t_0;
double t_2 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -3800000.0) {
tmp = t_3;
} else if (phi2 <= 4.8e-6) {
tmp = (R * 2.0) * atan2(sqrt((pow(sin((0.5 * (phi1 - phi2))), 2.0) + t_1)), sqrt(((1.0 - pow(sin((0.5 * phi1)), 2.0)) - t_1)));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64(cos(phi1) * t_0) t_2 = fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -3800000.0) tmp = t_3; elseif (phi2 <= 4.8e-6) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0) + t_1)), sqrt(Float64(Float64(1.0 - (sin(Float64(0.5 * phi1)) ^ 2.0)) - t_1)))); else tmp = t_3; 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[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3800000.0], t$95$3, If[LessEqual[phi2, 4.8e-6], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \cos \phi_1 \cdot t\_0\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -3800000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 4.8 \cdot 10^{-6}:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2} + t\_1}}{\sqrt{\left(1 - {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right) - t\_1}}\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -3.8e6 or 4.7999999999999998e-6 < phi2 Initial program 62.1%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.7%
if -3.8e6 < phi2 < 4.7999999999999998e-6Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6448.4
Applied rewrites48.4%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6448.9
Applied rewrites48.9%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6449.0
Applied rewrites49.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_2 (pow (sin t_0) 2.0))
(t_3
(fma (cos phi1) (* (cos phi2) t_1) (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(t_4 (sin (/ (- lambda1 lambda2) 2.0)))
(t_5 (* (cos phi1) t_1)))
(if (<=
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_4) t_4))
0.016)
(* (* R 2.0) (atan2 (sqrt (+ t_2 t_5)) (sqrt (- (- 1.0 t_2) t_5))))
(* 2.0 (* R (atan2 (sqrt t_3) (sqrt (- 1.0 t_3))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_2 = pow(sin(t_0), 2.0);
double t_3 = fma(cos(phi1), (cos(phi2) * t_1), (0.5 - (0.5 * cos((2.0 * t_0)))));
double t_4 = sin(((lambda1 - lambda2) / 2.0));
double t_5 = cos(phi1) * t_1;
double tmp;
if ((pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_4) * t_4)) <= 0.016) {
tmp = (R * 2.0) * atan2(sqrt((t_2 + t_5)), sqrt(((1.0 - t_2) - t_5)));
} else {
tmp = 2.0 * (R * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_2 = sin(t_0) ^ 2.0 t_3 = fma(cos(phi1), Float64(cos(phi2) * t_1), Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0))))) t_4 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_5 = Float64(cos(phi1) * t_1) tmp = 0.0 if (Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_4) * t_4)) <= 0.016) tmp = Float64(Float64(R * 2.0) * atan(sqrt(Float64(t_2 + t_5)), sqrt(Float64(Float64(1.0 - t_2) - t_5)))); else tmp = Float64(2.0 * Float64(R * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $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[Power[N[Sin[t$95$0], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Cos[phi2], $MachinePrecision] * t$95$1), $MachinePrecision] + N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]}, If[LessEqual[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$4), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision], 0.016], N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$2 + t$95$5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - t$95$2), $MachinePrecision] - t$95$5), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(R * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_2 := {\sin t\_0}^{2}\\
t_3 := \mathsf{fma}\left(\cos \phi_1, \cos \phi_2 \cdot t\_1, 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\right)\\
t_4 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_5 := \cos \phi_1 \cdot t\_1\\
\mathbf{if}\;{\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_4\right) \cdot t\_4 \leq 0.016:\\
\;\;\;\;\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{t\_2 + t\_5}}{\sqrt{\left(1 - t\_2\right) - t\_5}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(R \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) < 0.016Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6453.6
Applied rewrites53.6%
Taylor expanded in phi2 around 0
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6451.6
Applied rewrites51.6%
if 0.016 < (+.f64 (pow.f64 (sin.f64 (/.f64 (-.f64 phi1 phi2) #s(literal 2 binary64))) #s(literal 2 binary64)) (*.f64 (*.f64 (*.f64 (cos.f64 phi1) (cos.f64 phi2)) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64)))) (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))))) Initial program 62.1%
Applied rewrites62.0%
lift-+.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
unpow2N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
Applied rewrites62.0%
Taylor expanded in R around 0
lower-*.f64N/A
Applied rewrites59.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(t_3 (+ (pow t_2 2.0) (+ (pow t_0 2.0) (* t_2 t_0))))
(t_4 (sin t_1)))
(*
(* R 2.0)
(atan2
(sqrt (fma t_4 t_4 t_0))
(sqrt (- (/ (pow t_2 3.0) t_3) (/ (pow t_0 3.0) t_3)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)) * cos(phi1);
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = 1.0 - (0.5 - (0.5 * cos((2.0 * t_1))));
double t_3 = pow(t_2, 2.0) + (pow(t_0, 2.0) + (t_2 * t_0));
double t_4 = sin(t_1);
return (R * 2.0) * atan2(sqrt(fma(t_4, t_4, t_0)), sqrt(((pow(t_2, 3.0) / t_3) - (pow(t_0, 3.0) / t_3))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))) t_3 = Float64((t_2 ^ 2.0) + Float64((t_0 ^ 2.0) + Float64(t_2 * t_0))) t_4 = sin(t_1) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_4, t_4, t_0)), sqrt(Float64(Float64((t_2 ^ 3.0) / t_3) - Float64((t_0 ^ 3.0) / t_3))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[t$95$2, 2.0], $MachinePrecision] + N[(N[Power[t$95$0, 2.0], $MachinePrecision] + N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sin[t$95$1], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$4 * t$95$4 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Power[t$95$2, 3.0], $MachinePrecision] / t$95$3), $MachinePrecision] - N[(N[Power[t$95$0, 3.0], $MachinePrecision] / t$95$3), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := 1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)\\
t_3 := {t\_2}^{2} + \left({t\_0}^{2} + t\_2 \cdot t\_0\right)\\
t_4 := \sin t\_1\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_4, t\_4, t\_0\right)}}{\sqrt{\frac{{t\_2}^{3}}{t\_3} - \frac{{t\_0}^{3}}{t\_3}}}
\end{array}
\end{array}
Initial program 62.1%
Applied rewrites62.0%
lift-+.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
unpow2N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
Applied rewrites62.0%
Applied rewrites62.1%
Applied rewrites62.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(t_3 (sin t_1)))
(*
(* R 2.0)
(atan2
(sqrt (fma t_3 t_3 t_0))
(sqrt
(/
(- (pow t_2 3.0) (pow t_0 3.0))
(fma t_2 t_2 (fma t_0 t_0 (* t_2 t_0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)) * cos(phi1);
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = 1.0 - (0.5 - (0.5 * cos((2.0 * t_1))));
double t_3 = sin(t_1);
return (R * 2.0) * atan2(sqrt(fma(t_3, t_3, t_0)), sqrt(((pow(t_2, 3.0) - pow(t_0, 3.0)) / fma(t_2, t_2, fma(t_0, t_0, (t_2 * t_0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))) t_3 = sin(t_1) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_3, t_3, t_0)), sqrt(Float64(Float64((t_2 ^ 3.0) - (t_0 ^ 3.0)) / fma(t_2, t_2, fma(t_0, t_0, Float64(t_2 * t_0))))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[t$95$1], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$3 * t$95$3 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[Power[t$95$2, 3.0], $MachinePrecision] - N[Power[t$95$0, 3.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$2 * t$95$2 + N[(t$95$0 * t$95$0 + N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := 1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)\\
t_3 := \sin t\_1\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, t\_3, t\_0\right)}}{\sqrt{\frac{{t\_2}^{3} - {t\_0}^{3}}{\mathsf{fma}\left(t\_2, t\_2, \mathsf{fma}\left(t\_0, t\_0, t\_2 \cdot t\_0\right)\right)}}}
\end{array}
\end{array}
Initial program 62.1%
Applied rewrites62.0%
lift-+.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
unpow2N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
Applied rewrites62.0%
Applied rewrites62.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_1))))))
(t_3 (sin t_1)))
(*
(* R 2.0)
(atan2
(sqrt (fma t_3 t_3 t_0))
(sqrt (/ (- (* t_2 t_2) (* t_0 t_0)) (+ t_2 t_0)))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)) * cos(phi1);
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = 1.0 - (0.5 - (0.5 * cos((2.0 * t_1))));
double t_3 = sin(t_1);
return (R * 2.0) * atan2(sqrt(fma(t_3, t_3, t_0)), sqrt((((t_2 * t_2) - (t_0 * t_0)) / (t_2 + t_0))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))) t_3 = sin(t_1) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_3, t_3, t_0)), sqrt(Float64(Float64(Float64(t_2 * t_2) - Float64(t_0 * t_0)) / Float64(t_2 + t_0))))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sin[t$95$1], $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$3 * t$95$3 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$2 + t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := 1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)\\
t_3 := \sin t\_1\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, t\_3, t\_0\right)}}{\sqrt{\frac{t\_2 \cdot t\_2 - t\_0 \cdot t\_0}{t\_2 + t\_0}}}
\end{array}
\end{array}
Initial program 62.1%
Applied rewrites62.0%
lift-+.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
unpow2N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
Applied rewrites62.0%
Applied rewrites62.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (sin t_0))
(t_2
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))
(t_3 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(*
(* R 2.0)
(atan2
(sqrt (fma t_1 t_1 t_2))
(sqrt
(- (/ (- 1.0 (pow t_3 3.0)) (+ 1.0 (fma t_3 t_3 (* 1.0 t_3)))) t_2))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = sin(t_0);
double t_2 = (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)) * cos(phi1);
double t_3 = 0.5 - (0.5 * cos((2.0 * t_0)));
return (R * 2.0) * atan2(sqrt(fma(t_1, t_1, t_2)), sqrt((((1.0 - pow(t_3, 3.0)) / (1.0 + fma(t_3, t_3, (1.0 * t_3)))) - t_2)));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(t_0) t_2 = Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1)) t_3 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_1, t_1, t_2)), sqrt(Float64(Float64(Float64(1.0 - (t_3 ^ 3.0)) / Float64(1.0 + fma(t_3, t_3, Float64(1.0 * t_3)))) - t_2)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 - N[Power[t$95$3, 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$3 * t$95$3 + N[(1.0 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \sin t\_0\\
t_2 := \left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_3 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_1, t\_2\right)}}{\sqrt{\frac{1 - {t\_3}^{3}}{1 + \mathsf{fma}\left(t\_3, t\_3, 1 \cdot t\_3\right)} - t\_2}}
\end{array}
\end{array}
Initial program 62.1%
Applied rewrites62.0%
lift-+.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
unpow2N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
Applied rewrites62.0%
lift--.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
flip3--N/A
lower-/.f64N/A
Applied rewrites62.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.5 (- phi1 phi2)))
(t_1 (sin t_0))
(t_2
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))
(t_3 (- 0.5 (* 0.5 (cos (* 2.0 t_0))))))
(*
(* R 2.0)
(atan2
(sqrt (fma t_1 t_1 t_2))
(sqrt (- (/ (- 1.0 (* t_3 t_3)) (+ 1.0 t_3)) t_2))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.5 * (phi1 - phi2);
double t_1 = sin(t_0);
double t_2 = (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)) * cos(phi1);
double t_3 = 0.5 - (0.5 * cos((2.0 * t_0)));
return (R * 2.0) * atan2(sqrt(fma(t_1, t_1, t_2)), sqrt((((1.0 - (t_3 * t_3)) / (1.0 + t_3)) - t_2)));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.5 * Float64(phi1 - phi2)) t_1 = sin(t_0) t_2 = Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1)) t_3 = Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_0)))) return Float64(Float64(R * 2.0) * atan(sqrt(fma(t_1, t_1, t_2)), sqrt(Float64(Float64(Float64(1.0 - Float64(t_3 * t_3)) / Float64(1.0 + t_3)) - t_2)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$1 + t$95$2), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(N[(1.0 - N[(t$95$3 * t$95$3), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$3), $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_1 := \sin t\_0\\
t_2 := \left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_3 := 0.5 - 0.5 \cdot \cos \left(2 \cdot t\_0\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_1, t\_2\right)}}{\sqrt{\frac{1 - t\_3 \cdot t\_3}{1 + t\_3} - t\_2}}
\end{array}
\end{array}
Initial program 62.1%
Applied rewrites62.0%
lift-+.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
unpow2N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
Applied rewrites62.0%
lift--.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
flip--N/A
lower-/.f64N/A
Applied rewrites62.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))
(t_1 (* 0.5 (- phi1 phi2))))
(*
(* R 2.0)
(atan2
(sqrt (+ (pow (sin t_1) 2.0) t_0))
(sqrt (- (- 1.0 (- 0.5 (* 0.5 (cos (* 2.0 t_1))))) t_0))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)) * cos(phi1);
double t_1 = 0.5 * (phi1 - phi2);
return (R * 2.0) * atan2(sqrt((pow(sin(t_1), 2.0) + t_0)), sqrt(((1.0 - (0.5 - (0.5 * cos((2.0 * t_1))))) - t_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
real(8) :: t_0
real(8) :: t_1
t_0 = ((sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0) * cos(phi2)) * cos(phi1)
t_1 = 0.5d0 * (phi1 - phi2)
code = (r * 2.0d0) * atan2(sqrt(((sin(t_1) ** 2.0d0) + t_0)), sqrt(((1.0d0 - (0.5d0 - (0.5d0 * cos((2.0d0 * t_1))))) - t_0)))
end function
public static double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = (Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0) * Math.cos(phi2)) * Math.cos(phi1);
double t_1 = 0.5 * (phi1 - phi2);
return (R * 2.0) * Math.atan2(Math.sqrt((Math.pow(Math.sin(t_1), 2.0) + t_0)), Math.sqrt(((1.0 - (0.5 - (0.5 * Math.cos((2.0 * t_1))))) - t_0)));
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = (math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) * math.cos(phi2)) * math.cos(phi1) t_1 = 0.5 * (phi1 - phi2) return (R * 2.0) * math.atan2(math.sqrt((math.pow(math.sin(t_1), 2.0) + t_0)), math.sqrt(((1.0 - (0.5 - (0.5 * math.cos((2.0 * t_1))))) - t_0)))
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) return Float64(Float64(R * 2.0) * atan(sqrt(Float64((sin(t_1) ^ 2.0) + t_0)), sqrt(Float64(Float64(1.0 - Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))) - t_0)))) end
function tmp = code(R, lambda1, lambda2, phi1, phi2) t_0 = ((sin((0.5 * (lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1); t_1 = 0.5 * (phi1 - phi2); tmp = (R * 2.0) * atan2(sqrt(((sin(t_1) ^ 2.0) + t_0)), sqrt(((1.0 - (0.5 - (0.5 * cos((2.0 * t_1))))) - t_0))); end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, N[(N[(R * 2.0), $MachinePrecision] * N[ArcTan[N[Sqrt[N[(N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_1 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
\left(R \cdot 2\right) \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2} + t\_0}}{\sqrt{\left(1 - \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right)\right) - t\_0}}
\end{array}
\end{array}
Initial program 62.1%
Applied rewrites62.0%
Taylor expanded in phi2 around 0
lower--.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6448.4
Applied rewrites48.4%
Taylor expanded in phi1 around inf
pow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift--.f6462.1
Applied rewrites62.1%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (+ (* t_0 (cos phi1)) (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -3800000.0)
t_3
(if (<= phi2 4.8e-6)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))
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 = (t_0 * cos(phi1)) + pow(sin((0.5 * phi1)), 2.0);
double t_2 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -3800000.0) {
tmp = t_3;
} else if (phi2 <= 4.8e-6) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64(Float64(t_0 * cos(phi1)) + (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -3800000.0) tmp = t_3; elseif (phi2 <= 4.8e-6) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; 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[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3800000.0], t$95$3, If[LessEqual[phi2, 4.8e-6], 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], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := t\_0 \cdot \cos \phi_1 + {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -3800000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 4.8 \cdot 10^{-6}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -3.8e6 or 4.7999999999999998e-6 < phi2 Initial program 62.1%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.7%
if -3.8e6 < phi2 < 4.7999999999999998e-6Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
lift-cos.f64N/A
lift-fma.f64N/A
lift-pow.f64N/A
lift-sin.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-pow.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lower-+.f64N/A
Applied rewrites47.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(t_2 (fma t_0 (cos phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -3800000.0)
t_3
(if (<= phi2 4.8e-6)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_3))))
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 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double t_2 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -3800000.0) {
tmp = t_3;
} else if (phi2 <= 4.8e-6) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_2 = fma(t_0, cos(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -3800000.0) tmp = t_3; elseif (phi2 <= 4.8e-6) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; 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[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -3800000.0], t$95$3, If[LessEqual[phi2, 4.8e-6], 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], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -3800000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 4.8 \cdot 10^{-6}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi2 < -3.8e6 or 4.7999999999999998e-6 < phi2 Initial program 62.1%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.5%
Taylor expanded in phi1 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.7%
if -3.8e6 < phi2 < 4.7999999999999998e-6Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1 (* 0.5 (- phi1 phi2)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))
(if (<= phi2 -2.1e+93)
(*
R
(*
2.0
(atan2
(sqrt (- 0.5 (* 0.5 (cos (* 2.0 t_1)))))
(sqrt (- 1.0 (+ t_2 (* (* (* 1.0 (cos phi2)) t_0) t_0)))))))
(if (<= phi2 16500000.0)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(*
R
(*
2.0
(atan2
(sqrt (pow (sin t_1) 2.0))
(sqrt
(- 1.0 (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = 0.5 * (phi1 - phi2);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (phi2 <= -2.1e+93) {
tmp = R * (2.0 * atan2(sqrt((0.5 - (0.5 * cos((2.0 * t_1))))), sqrt((1.0 - (t_2 + (((1.0 * cos(phi2)) * t_0) * t_0))))));
} else if (phi2 <= 16500000.0) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(sqrt(pow(sin(t_1), 2.0)), sqrt((1.0 - (t_2 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(0.5 * Float64(phi1 - phi2)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (phi2 <= -2.1e+93) tmp = Float64(R * Float64(2.0 * atan(sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1))))), sqrt(Float64(1.0 - Float64(t_2 + Float64(Float64(Float64(1.0 * cos(phi2)) * t_0) * t_0))))))); elseif (phi2 <= 16500000.0) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(t_1) ^ 2.0)), sqrt(Float64(1.0 - Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_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[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = 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]}, If[LessEqual[phi2, -2.1e+93], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(N[(N[(1.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 16500000.0], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[t$95$1], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $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 := 0.5 \cdot \left(\phi_1 - \phi_2\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \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}\;\phi_2 \leq -2.1 \cdot 10^{+93}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)}}{\sqrt{1 - \left(t\_2 + \left(\left(1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 16500000:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin t\_1}^{2}}}{\sqrt{1 - \left(t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -2.0999999999999998e93Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in phi1 around 0
Applied rewrites41.6%
Taylor expanded in phi1 around 0
Applied rewrites39.5%
Taylor expanded in lambda2 around 0
pow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f6424.5
Applied rewrites24.5%
if -2.0999999999999998e93 < phi2 < 1.65e7Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
if 1.65e7 < phi2 Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in lambda2 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6429.4
Applied rewrites29.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 phi1)) 2.0))
(t_1 (fma (pow (sin (* -0.5 lambda2)) 2.0) (cos phi1) t_0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3 (fma (pow (sin (* 0.5 lambda1)) 2.0) (cos phi1) t_0))
(t_4 (* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))
(if (<= lambda1 -5.4e-16)
t_4
(if (<= lambda1 -2.6e-98)
(*
R
(*
2.0
(atan2
(sqrt
(fma
1.0
(* (* 0.25 (* lambda2 lambda2)) (cos phi2))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* 1.0 (cos phi2)) t_2) t_2)))))))
(if (<= lambda1 2.45e-11)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
t_4)))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * phi1)), 2.0);
double t_1 = fma(pow(sin((-0.5 * lambda2)), 2.0), cos(phi1), t_0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = fma(pow(sin((0.5 * lambda1)), 2.0), cos(phi1), t_0);
double t_4 = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
double tmp;
if (lambda1 <= -5.4e-16) {
tmp = t_4;
} else if (lambda1 <= -2.6e-98) {
tmp = R * (2.0 * atan2(sqrt(fma(1.0, ((0.25 * (lambda2 * lambda2)) * cos(phi2)), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((1.0 * cos(phi2)) * t_2) * t_2))))));
} else if (lambda1 <= 2.45e-11) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * phi1)) ^ 2.0 t_1 = fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), cos(phi1), t_0) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = fma((sin(Float64(0.5 * lambda1)) ^ 2.0), cos(phi1), t_0) t_4 = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))) tmp = 0.0 if (lambda1 <= -5.4e-16) tmp = t_4; elseif (lambda1 <= -2.6e-98) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(1.0, Float64(Float64(0.25 * Float64(lambda2 * lambda2)) * cos(phi2)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(1.0 * cos(phi2)) * t_2) * t_2))))))); elseif (lambda1 <= 2.45e-11) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_4; 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]}, Block[{t$95$1 = N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -5.4e-16], t$95$4, If[LessEqual[lambda1, -2.6e-98], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(1.0 * N[(N[(0.25 * N[(lambda2 * lambda2), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(1.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[lambda1, 2.45e-11], 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], t$95$4]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_1 := \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \cos \phi_1, t\_0\right)\\
t_2 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, \cos \phi_1, t\_0\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{if}\;\lambda_1 \leq -5.4 \cdot 10^{-16}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 \leq -2.6 \cdot 10^{-98}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, \left(0.25 \cdot \left(\lambda_2 \cdot \lambda_2\right)\right) \cdot \cos \phi_2, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\right)}}\right)\\
\mathbf{elif}\;\lambda_1 \leq 2.45 \cdot 10^{-11}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if lambda1 < -5.39999999999999999e-16 or 2.4499999999999999e-11 < lambda1 Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in lambda1 around inf
lower-*.f6434.1
Applied rewrites34.1%
Taylor expanded in lambda1 around inf
lower-*.f6434.0
Applied rewrites34.0%
if -5.39999999999999999e-16 < lambda1 < -2.60000000000000013e-98Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in phi1 around 0
Applied rewrites41.6%
Taylor expanded in phi1 around 0
Applied rewrites39.5%
Taylor expanded in lambda2 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6427.4
Applied rewrites27.4%
if -2.60000000000000013e-98 < lambda1 < 2.4499999999999999e-11Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in lambda1 around 0
lift-*.f6434.5
Applied rewrites34.5%
Taylor expanded in lambda1 around 0
lift-*.f6434.3
Applied rewrites34.3%
(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))
(t_2
(fma
(pow (sin (* -0.5 lambda2)) 2.0)
(cos phi1)
(pow (sin (* 0.5 phi1)) 2.0))))
(if (<= t_0 -0.01)
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(sqrt (- 1.0 (+ t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))))))
(if (<= t_0 4e-21)
(*
R
(*
2.0
(atan2
(sqrt
(fma
1.0
(* (* 0.25 (* lambda2 lambda2)) (cos phi2))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (+ t_1 (* (* (* 1.0 (cos phi2)) t_0) t_0)))))))
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))))
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);
double t_2 = fma(pow(sin((-0.5 * lambda2)), 2.0), cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (t_0 <= -0.01) {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), sqrt((1.0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))));
} else if (t_0 <= 4e-21) {
tmp = R * (2.0 * atan2(sqrt(fma(1.0, ((0.25 * (lambda2 * lambda2)) * cos(phi2)), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - (t_1 + (((1.0 * cos(phi2)) * t_0) * t_0))))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (t_0 <= -0.01) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))))))); elseif (t_0 <= 4e-21) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(1.0, Float64(Float64(0.25 * Float64(lambda2 * lambda2)) * cos(phi2)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(1.0 * cos(phi2)) * t_0) * t_0))))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); 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[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -0.01], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$0, 4e-21], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(1.0 * N[(N[(0.25 * N[(lambda2 * lambda2), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(1.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $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}\\
t_2 := \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;t\_0 \leq -0.01:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\mathbf{elif}\;t\_0 \leq 4 \cdot 10^{-21}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, \left(0.25 \cdot \left(\lambda_2 \cdot \lambda_2\right)\right) \cdot \cos \phi_2, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \left(t\_1 + \left(\left(1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.0100000000000000002Initial program 62.1%
Taylor expanded in phi1 around 0
fp-cancel-sign-sub-invN/A
lower--.f64N/A
Applied rewrites43.5%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6430.0
Applied rewrites30.0%
if -0.0100000000000000002 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 3.99999999999999963e-21Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in phi1 around 0
Applied rewrites41.6%
Taylor expanded in phi1 around 0
Applied rewrites39.5%
Taylor expanded in lambda2 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6427.4
Applied rewrites27.4%
if 3.99999999999999963e-21 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in lambda1 around 0
lift-*.f6434.5
Applied rewrites34.5%
Taylor expanded in lambda1 around 0
lift-*.f6434.3
Applied rewrites34.3%
(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))
(t_2
(*
R
(*
2.0
(atan2
(sqrt (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(sqrt
(- 1.0 (+ t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_0)))))))))
(if (<= t_0 -0.01)
t_2
(if (<= t_0 0.07)
(*
R
(*
2.0
(atan2
(sqrt
(fma
1.0
(* (* 0.25 (* lambda2 lambda2)) (cos phi2))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0)))
(sqrt (- 1.0 (+ t_1 (* (* (* 1.0 (cos phi2)) t_0) t_0)))))))
t_2))))
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);
double t_2 = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), sqrt((1.0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))));
double tmp;
if (t_0 <= -0.01) {
tmp = t_2;
} else if (t_0 <= 0.07) {
tmp = R * (2.0 * atan2(sqrt(fma(1.0, ((0.25 * (lambda2 * lambda2)) * cos(phi2)), pow(sin((0.5 * (phi1 - phi2))), 2.0))), sqrt((1.0 - (t_1 + (((1.0 * cos(phi2)) * t_0) * t_0))))));
} else {
tmp = t_2;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0))))))) tmp = 0.0 if (t_0 <= -0.01) tmp = t_2; elseif (t_0 <= 0.07) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(1.0, Float64(Float64(0.25 * Float64(lambda2 * lambda2)) * cos(phi2)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0))), sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(1.0 * cos(phi2)) * t_0) * t_0))))))); else tmp = t_2; 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[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -0.01], t$95$2, If[LessEqual[t$95$0, 0.07], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(1.0 * N[(N[(0.25 * N[(lambda2 * lambda2), $MachinePrecision]), $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(1.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\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}\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{\sqrt{1 - \left(t\_1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\mathbf{if}\;t\_0 \leq -0.01:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;t\_0 \leq 0.07:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(1, \left(0.25 \cdot \left(\lambda_2 \cdot \lambda_2\right)\right) \cdot \cos \phi_2, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)}}{\sqrt{1 - \left(t\_1 + \left(\left(1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.0100000000000000002 or 0.070000000000000007 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 62.1%
Taylor expanded in phi1 around 0
fp-cancel-sign-sub-invN/A
lower--.f64N/A
Applied rewrites43.5%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6430.0
Applied rewrites30.0%
if -0.0100000000000000002 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.070000000000000007Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in phi1 around 0
Applied rewrites41.6%
Taylor expanded in phi1 around 0
Applied rewrites39.5%
Taylor expanded in lambda2 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6427.4
Applied rewrites27.4%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0)))))
(t_2
(*
R
(*
2.0
(atan2 (sqrt (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)) t_1)))))
(if (<= t_0 -0.01)
t_2
(if (<= t_0 0.135)
(* R (* 2.0 (atan2 (sqrt (pow (sin (* 0.5 (- phi1 phi2))) 2.0)) t_1)))
t_2))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin(((lambda1 - lambda2) / 2.0));
double t_1 = sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))));
double t_2 = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (lambda1 - lambda2))), 2.0)), t_1));
double tmp;
if (t_0 <= -0.01) {
tmp = t_2;
} else if (t_0 <= 0.135) {
tmp = R * (2.0 * atan2(sqrt(pow(sin((0.5 * (phi1 - phi2))), 2.0)), t_1));
} else {
tmp = t_2;
}
return tmp;
}
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) :: tmp
t_0 = sin(((lambda1 - lambda2) / 2.0d0))
t_1 = sqrt((1.0d0 - ((sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))
t_2 = r * (2.0d0 * atan2(sqrt((sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0)), t_1))
if (t_0 <= (-0.01d0)) then
tmp = t_2
else if (t_0 <= 0.135d0) then
tmp = r * (2.0d0 * atan2(sqrt((sin((0.5d0 * (phi1 - phi2))) ** 2.0d0)), t_1))
else
tmp = t_2
end if
code = tmp
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.sqrt((1.0 - (Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((Math.cos(phi1) * Math.cos(phi2)) * t_0) * t_0))));
double t_2 = R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sin((0.5 * (lambda1 - lambda2))), 2.0)), t_1));
double tmp;
if (t_0 <= -0.01) {
tmp = t_2;
} else if (t_0 <= 0.135) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(Math.pow(Math.sin((0.5 * (phi1 - phi2))), 2.0)), t_1));
} else {
tmp = t_2;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.sin(((lambda1 - lambda2) / 2.0)) t_1 = math.sqrt((1.0 - (math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) + (((math.cos(phi1) * math.cos(phi2)) * t_0) * t_0)))) t_2 = R * (2.0 * math.atan2(math.sqrt(math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0)), t_1)) tmp = 0 if t_0 <= -0.01: tmp = t_2 elif t_0 <= 0.135: tmp = R * (2.0 * math.atan2(math.sqrt(math.pow(math.sin((0.5 * (phi1 - phi2))), 2.0)), t_1)) else: tmp = t_2 return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_0)))) t_2 = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0)), t_1))) tmp = 0.0 if (t_0 <= -0.01) tmp = t_2; elseif (t_0 <= 0.135) tmp = Float64(R * Float64(2.0 * atan(sqrt((sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)), t_1))); else tmp = t_2; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(((lambda1 - lambda2) / 2.0)); t_1 = sqrt((1.0 - ((sin(((phi1 - phi2) / 2.0)) ^ 2.0) + (((cos(phi1) * cos(phi2)) * t_0) * t_0)))); t_2 = R * (2.0 * atan2(sqrt((sin((0.5 * (lambda1 - lambda2))) ^ 2.0)), t_1)); tmp = 0.0; if (t_0 <= -0.01) tmp = t_2; elseif (t_0 <= 0.135) tmp = R * (2.0 * atan2(sqrt((sin((0.5 * (phi1 - phi2))) ^ 2.0)), t_1)); else tmp = t_2; end tmp_2 = 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[Sqrt[N[(1.0 - 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]], $MachinePrecision]}, Block[{t$95$2 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -0.01], t$95$2, If[LessEqual[t$95$0, 0.135], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]], $MachinePrecision] / t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$2]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := \sqrt{1 - \left({\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\right)}\\
t_2 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}}}{t\_1}\right)\\
\mathbf{if}\;t\_0 \leq -0.01:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;t\_0 \leq 0.135:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{{\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}}}{t\_1}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < -0.0100000000000000002 or 0.13500000000000001 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) Initial program 62.1%
Taylor expanded in phi1 around 0
fp-cancel-sign-sub-invN/A
lower--.f64N/A
Applied rewrites43.5%
Taylor expanded in phi2 around 0
lower-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6430.0
Applied rewrites30.0%
if -0.0100000000000000002 < (sin.f64 (/.f64 (-.f64 lambda1 lambda2) #s(literal 2 binary64))) < 0.13500000000000001Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in lambda2 around 0
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f6429.4
Applied rewrites29.4%
(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))
(t_2 (sqrt (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))))
(t_3
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
1.0
(pow (sin (* 0.5 phi1)) 2.0))))
(if (<= phi2 -7.8e-17)
(*
R
(*
2.0
(atan2 t_2 (sqrt (- 1.0 (+ t_1 (* (* (* 1.0 (cos phi2)) t_0) t_0)))))))
(if (<= phi2 8.5e-17)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(*
R
(*
2.0
(atan2
t_2
(sqrt
(- 1.0 (+ t_1 (* (* (* (cos phi1) (cos phi2)) t_0) t_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(((phi1 - phi2) / 2.0)), 2.0);
double t_2 = sqrt((0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))));
double t_3 = fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), 1.0, pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (phi2 <= -7.8e-17) {
tmp = R * (2.0 * atan2(t_2, sqrt((1.0 - (t_1 + (((1.0 * cos(phi2)) * t_0) * t_0))))));
} else if (phi2 <= 8.5e-17) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else {
tmp = R * (2.0 * atan2(t_2, sqrt((1.0 - (t_1 + (((cos(phi1) * cos(phi2)) * t_0) * t_0))))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_2 = sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))))) t_3 = fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), 1.0, (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (phi2 <= -7.8e-17) tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(1.0 * cos(phi2)) * t_0) * t_0))))))); elseif (phi2 <= 8.5e-17) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); else tmp = Float64(R * Float64(2.0 * atan(t_2, sqrt(Float64(1.0 - Float64(t_1 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_0) * t_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[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * 1.0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.8e-17], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(1.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[phi2, 8.5e-17], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(R * N[(2.0 * N[ArcTan[t$95$2 / N[Sqrt[N[(1.0 - N[(t$95$1 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $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 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_2 := \sqrt{0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)}\\
t_3 := \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -7.8 \cdot 10^{-17}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{1 - \left(t\_1 + \left(\left(1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\mathbf{elif}\;\phi_2 \leq 8.5 \cdot 10^{-17}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{t\_2}{\sqrt{1 - \left(t\_1 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
\end{array}
\end{array}
if phi2 < -7.79999999999999979e-17Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in phi1 around 0
Applied rewrites41.6%
Taylor expanded in phi1 around 0
Applied rewrites39.5%
Taylor expanded in lambda2 around 0
pow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f6424.5
Applied rewrites24.5%
if -7.79999999999999979e-17 < phi2 < 8.5e-17Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
Applied rewrites37.9%
Taylor expanded in phi1 around 0
Applied rewrites33.7%
if 8.5e-17 < phi2 Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in lambda2 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6428.0
Applied rewrites28.0%
Taylor expanded in lambda2 around 0
pow2N/A
sqr-sin-aN/A
lower--.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-*.f64N/A
lift--.f64N/A
lift-*.f6426.5
Applied rewrites26.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(*
R
(*
2.0
(atan2
(sqrt (- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2)))))))
(sqrt
(-
1.0
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* 1.0 (cos phi2)) t_0) t_0))))))))
(t_2
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
1.0
(pow (sin (* 0.5 phi1)) 2.0))))
(if (<= phi2 -7.8e-17)
t_1
(if (<= phi2 0.057)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
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 = R * (2.0 * atan2(sqrt((0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2))))))), sqrt((1.0 - (pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((1.0 * cos(phi2)) * t_0) * t_0))))));
double t_2 = fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), 1.0, pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (phi2 <= -7.8e-17) {
tmp = t_1;
} else if (phi2 <= 0.057) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = t_1;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_1 = Float64(R * Float64(2.0 * atan(sqrt(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2))))))), sqrt(Float64(1.0 - Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(1.0 * cos(phi2)) * t_0) * t_0))))))) t_2 = fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), 1.0, (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (phi2 <= -7.8e-17) tmp = t_1; elseif (phi2 <= 0.057) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = 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[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(1.0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * 1.0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi2, -7.8e-17], t$95$1, If[LessEqual[phi2, 0.057], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_1 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)}}{\sqrt{1 - \left({\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(1 \cdot \cos \phi_2\right) \cdot t\_0\right) \cdot t\_0\right)}}\right)\\
t_2 := \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_2 \leq -7.8 \cdot 10^{-17}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;\phi_2 \leq 0.057:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if phi2 < -7.79999999999999979e-17 or 0.0570000000000000021 < phi2 Initial program 62.1%
Taylor expanded in lambda1 around 0
lower-sqrt.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
Applied rewrites46.4%
Taylor expanded in phi1 around 0
Applied rewrites41.6%
Taylor expanded in phi1 around 0
Applied rewrites39.5%
Taylor expanded in lambda2 around 0
pow2N/A
sqr-sin-a-revN/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift--.f6424.5
Applied rewrites24.5%
if -7.79999999999999979e-17 < phi2 < 0.0570000000000000021Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
Applied rewrites37.9%
Taylor expanded in phi1 around 0
Applied rewrites33.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
1.0
(pow (sin (* 0.5 phi1)) 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((0.5 * (lambda1 - lambda2))), 2.0), 1.0, pow(sin((0.5 * phi1)), 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(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), 1.0, (sin(Float64(0.5 * phi1)) ^ 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[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * 1.0 + N[Power[N[Sin[N[(0.5 * phi1), $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(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 1, {\sin \left(0.5 \cdot \phi_1\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 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
Applied rewrites37.9%
Taylor expanded in phi1 around 0
Applied rewrites33.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (* 0.25 (* phi1 phi1)))
(t_2 (fma t_0 (cos phi1) t_1))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (pow (- 1.0 t_2) 0.5))))))
(if (<= phi1 -1.35e+154)
t_3
(if (<= phi1 1.35e+154)
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (+ 1.0 (* -0.5 (* phi1 phi1))) t_1))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))))
t_3))))
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 = 0.25 * (phi1 * phi1);
double t_2 = fma(t_0, cos(phi1), t_1);
double t_3 = R * (2.0 * atan2(sqrt(t_2), pow((1.0 - t_2), 0.5)));
double tmp;
if (phi1 <= -1.35e+154) {
tmp = t_3;
} else if (phi1 <= 1.35e+154) {
tmp = R * (2.0 * atan2(sqrt(fma(t_0, (1.0 + (-0.5 * (phi1 * phi1))), t_1)), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))));
} else {
tmp = t_3;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64(0.25 * Float64(phi1 * phi1)) t_2 = fma(t_0, cos(phi1), t_1) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), (Float64(1.0 - t_2) ^ 0.5)))) tmp = 0.0 if (phi1 <= -1.35e+154) tmp = t_3; elseif (phi1 <= 1.35e+154) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))), t_1)), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); else tmp = t_3; 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[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Power[N[(1.0 - t$95$2), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -1.35e+154], t$95$3, If[LessEqual[phi1, 1.35e+154], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi2], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_1, t\_1\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{{\left(1 - t\_2\right)}^{0.5}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.35 \cdot 10^{+154}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 1.35 \cdot 10^{+154}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, 1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right), t\_1\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if phi1 < -1.35000000000000003e154 or 1.35000000000000003e154 < phi1 Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
lift-sqrt.f64N/A
pow1/2N/A
lower-pow.f6427.9
Applied rewrites27.9%
if -1.35000000000000003e154 < phi1 < 1.35000000000000003e154Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-fma.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-pow.f64N/A
lift-sin.f64N/A
lift-*.f6425.9
Applied rewrites25.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(cos phi1)
(* 0.25 (* phi1 phi1)))))
(* R (* 2.0 (atan2 (sqrt t_0) (pow (- 1.0 t_0) 0.5))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(pow(sin((0.5 * (lambda1 - lambda2))), 2.0), cos(phi1), (0.25 * (phi1 * phi1)));
return R * (2.0 * atan2(sqrt(t_0), pow((1.0 - t_0), 0.5)));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), cos(phi1), Float64(0.25 * Float64(phi1 * phi1))) return Float64(R * Float64(2.0 * atan(sqrt(t_0), (Float64(1.0 - t_0) ^ 0.5)))) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi1], $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Power[N[(1.0 - t$95$0), $MachinePrecision], 0.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left({\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, \cos \phi_1, 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{{\left(1 - t\_0\right)}^{0.5}}\right)
\end{array}
\end{array}
Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
lift-sqrt.f64N/A
pow1/2N/A
lower-pow.f6427.9
Applied rewrites27.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(+ 1.0 (* -0.5 (* phi1 phi1)))
(*
(* phi1 phi1)
(+
0.25
(*
(* phi1 phi1)
(-
(*
(* phi1 phi1)
(+
0.0006944444444444445
(* -1.240079365079365e-5 (* phi1 phi1))))
0.020833333333333332)))))))
(* 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((0.5 * (lambda1 - lambda2))), 2.0), (1.0 + (-0.5 * (phi1 * phi1))), ((phi1 * phi1) * (0.25 + ((phi1 * phi1) * (((phi1 * phi1) * (0.0006944444444444445 + (-1.240079365079365e-5 * (phi1 * phi1)))) - 0.020833333333333332)))));
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(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))), Float64(Float64(phi1 * phi1) * Float64(0.25 + Float64(Float64(phi1 * phi1) * Float64(Float64(Float64(phi1 * phi1) * Float64(0.0006944444444444445 + Float64(-1.240079365079365e-5 * Float64(phi1 * phi1)))) - 0.020833333333333332))))) 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[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * N[(0.25 + N[(N[(phi1 * phi1), $MachinePrecision] * N[(N[(N[(phi1 * phi1), $MachinePrecision] * N[(0.0006944444444444445 + N[(-1.240079365079365e-5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right), \left(\phi_1 \cdot \phi_1\right) \cdot \left(0.25 + \left(\phi_1 \cdot \phi_1\right) \cdot \left(\left(\phi_1 \cdot \phi_1\right) \cdot \left(0.0006944444444444445 + -1.240079365079365 \cdot 10^{-5} \cdot \left(\phi_1 \cdot \phi_1\right)\right) - 0.020833333333333332\right)\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(+ 1.0 (* -0.5 (* phi1 phi1)))
(* (* phi1 phi1) (+ 0.25 (* -0.020833333333333332 (* phi1 phi1)))))))
(* 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((0.5 * (lambda1 - lambda2))), 2.0), (1.0 + (-0.5 * (phi1 * phi1))), ((phi1 * phi1) * (0.25 + (-0.020833333333333332 * (phi1 * phi1)))));
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(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))), Float64(Float64(phi1 * phi1) * Float64(0.25 + Float64(-0.020833333333333332 * Float64(phi1 * phi1))))) 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[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(phi1 * phi1), $MachinePrecision] * N[(0.25 + N[(-0.020833333333333332 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right), \left(\phi_1 \cdot \phi_1\right) \cdot \left(0.25 + -0.020833333333333332 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(+ 1.0 (* -0.5 (* phi1 phi1)))
(* 0.25 (* phi1 phi1)))))
(* 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((0.5 * (lambda1 - lambda2))), 2.0), (1.0 + (-0.5 * (phi1 * phi1))), (0.25 * (phi1 * phi1)));
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(0.5 * Float64(lambda1 - lambda2))) ^ 2.0), Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))), Float64(0.25 * Float64(phi1 * phi1))) 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[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $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(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}, 1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right), 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (+ 1.0 (* -0.5 (* phi1 phi1))))
(t_1 (* 0.25 (* phi1 phi1)))
(t_2 (fma (pow (sin (* -0.5 lambda2)) 2.0) t_0 t_1))
(t_3 (fma (pow (sin (* 0.5 lambda1)) 2.0) t_0 t_1))
(t_4 (* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))
(if (<= lambda1 -7.5e-105)
t_4
(if (<= lambda1 6.5e-17)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
t_4))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 1.0 + (-0.5 * (phi1 * phi1));
double t_1 = 0.25 * (phi1 * phi1);
double t_2 = fma(pow(sin((-0.5 * lambda2)), 2.0), t_0, t_1);
double t_3 = fma(pow(sin((0.5 * lambda1)), 2.0), t_0, t_1);
double t_4 = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
double tmp;
if (lambda1 <= -7.5e-105) {
tmp = t_4;
} else if (lambda1 <= 6.5e-17) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = t_4;
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))) t_1 = Float64(0.25 * Float64(phi1 * phi1)) t_2 = fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), t_0, t_1) t_3 = fma((sin(Float64(0.5 * lambda1)) ^ 2.0), t_0, t_1) t_4 = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))) tmp = 0.0 if (lambda1 <= -7.5e-105) tmp = t_4; elseif (lambda1 <= 6.5e-17) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = t_4; end return tmp end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[N[(0.5 * lambda1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * t$95$0 + t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$3], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$3), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[lambda1, -7.5e-105], t$95$4, If[LessEqual[lambda1, 6.5e-17], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$4]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right)\\
t_1 := 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\\
t_2 := \mathsf{fma}\left({\sin \left(-0.5 \cdot \lambda_2\right)}^{2}, t\_0, t\_1\right)\\
t_3 := \mathsf{fma}\left({\sin \left(0.5 \cdot \lambda_1\right)}^{2}, t\_0, t\_1\right)\\
t_4 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{if}\;\lambda_1 \leq -7.5 \cdot 10^{-105}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;\lambda_1 \leq 6.5 \cdot 10^{-17}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;t\_4\\
\end{array}
\end{array}
if lambda1 < -7.5000000000000006e-105 or 6.4999999999999996e-17 < lambda1 Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in lambda1 around inf
lower-*.f6415.5
Applied rewrites15.5%
Taylor expanded in lambda1 around inf
lower-*.f6414.7
Applied rewrites14.7%
if -7.5000000000000006e-105 < lambda1 < 6.4999999999999996e-17Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in lambda1 around 0
lift-*.f6415.4
Applied rewrites15.4%
Taylor expanded in lambda1 around 0
lift-*.f6414.6
Applied rewrites14.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* -0.5 lambda2)) 2.0)
(+ 1.0 (* -0.5 (* phi1 phi1)))
(* 0.25 (* phi1 phi1)))))
(* 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((-0.5 * lambda2)), 2.0), (1.0 + (-0.5 * (phi1 * phi1))), (0.25 * (phi1 * phi1)));
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(-0.5 * lambda2)) ^ 2.0), Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))), Float64(0.25 * Float64(phi1 * phi1))) 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[(-0.5 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $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(-0.5 \cdot \lambda_2\right)}^{2}, 1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right), 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.1%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites46.8%
Taylor expanded in phi2 around 0
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-pow.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lower-pow.f64N/A
Applied rewrites47.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6432.2
Applied rewrites32.2%
Taylor expanded in phi1 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.7
Applied rewrites22.7%
Taylor expanded in lambda1 around 0
lift-*.f6415.4
Applied rewrites15.4%
Taylor expanded in lambda1 around 0
lift-*.f6414.6
Applied rewrites14.6%
herbie shell --seed 2025142
(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))))))))))