
(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 24 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 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sin (* 0.5 (- phi1 phi2))))
(t_2 (- (+ 0.5 (* (cos phi1) t_0)) (* 0.5 (cos phi1))))
(t_3 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0))))
(if (<= phi1 -0.00042)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 1.05e+40)
(*
R
(*
2.0
(atan2
(sqrt (fma t_1 t_1 (* (* t_0 (cos phi2)) (cos phi1))))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))))
(* 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 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = sin((0.5 * (phi1 - phi2)));
double t_2 = (0.5 + (cos(phi1) * t_0)) - (0.5 * cos(phi1));
double t_3 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (phi1 <= -0.00042) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 1.05e+40) {
tmp = R * (2.0 * atan2(sqrt(fma(t_1, t_1, ((t_0 * cos(phi2)) * cos(phi1)))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))));
} 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(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_2 = Float64(Float64(0.5 + Float64(cos(phi1) * t_0)) - Float64(0.5 * cos(phi1))) t_3 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (phi1 <= -0.00042) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 1.05e+40) tmp = Float64(R * Float64(2.0 * atan(sqrt(fma(t_1, t_1, Float64(Float64(t_0 * cos(phi2)) * cos(phi1)))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))); 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[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.00042], 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[phi1, 1.05e+40], N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$1 * t$95$1 + N[(N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $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], 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(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)\\
t_2 := \left(0.5 + \cos \phi_1 \cdot t\_0\right) - 0.5 \cdot \cos \phi_1\\
t_3 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -0.00042:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 1.05 \cdot 10^{+40}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_1, t\_1, \left(t\_0 \cdot \cos \phi_2\right) \cdot \cos \phi_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}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\end{array}
\end{array}
if phi1 < -4.2000000000000002e-4Initial program 62.2%
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 -4.2000000000000002e-4 < phi1 < 1.05000000000000005e40Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
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
lower-sin.f64N/A
lower-*.f6448.7
Applied rewrites48.7%
if 1.05000000000000005e40 < phi1 Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.8
Applied rewrites42.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.9
Applied rewrites42.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 (- lambda1 lambda2))))
(t_1 (pow t_0 2.0))
(t_2
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* t_0 (cos phi2)) (sin (/ (- lambda1 lambda2) 2.0)))))
(t_3 (- (+ 0.5 (* (cos phi1) t_1)) (* 0.5 (cos phi1))))
(t_4 (fma t_1 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0))))
(if (<= phi1 -0.0035)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= phi1 0.095)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = sin((0.5 * (lambda1 - lambda2)));
double t_1 = pow(t_0, 2.0);
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + ((t_0 * cos(phi2)) * sin(((lambda1 - lambda2) / 2.0)));
double t_3 = (0.5 + (cos(phi1) * t_1)) - (0.5 * cos(phi1));
double t_4 = fma(t_1, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (phi1 <= -0.0035) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (phi1 <= 0.095) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) t_1 = t_0 ^ 2.0 t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(t_0 * cos(phi2)) * sin(Float64(Float64(lambda1 - lambda2) / 2.0)))) t_3 = Float64(Float64(0.5 + Float64(cos(phi1) * t_1)) - Float64(0.5 * cos(phi1))) t_4 = fma(t_1, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (phi1 <= -0.0035) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (phi1 <= 0.095) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * 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[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[t$95$0, 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$1 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.0035], 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], If[LessEqual[phi1, 0.095], 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], 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]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)\\
t_1 := {t\_0}^{2}\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(t\_0 \cdot \cos \phi_2\right) \cdot \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_3 := \left(0.5 + \cos \phi_1 \cdot t\_1\right) - 0.5 \cdot \cos \phi_1\\
t_4 := \mathsf{fma}\left(t\_1, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -0.0035:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.095:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if phi1 < -0.00350000000000000007Initial program 62.2%
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 -0.00350000000000000007 < phi1 < 0.095000000000000001Initial program 62.2%
Taylor expanded in phi1 around 0
*-commutativeN/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-*.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6453.1
Applied rewrites53.1%
Taylor expanded in phi1 around 0
*-commutativeN/A
*-commutativeN/A
metadata-evalN/A
mult-flipN/A
lower-*.f64N/A
lower-sin.f64N/A
mult-flipN/A
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
lift--.f64N/A
lift-cos.f6451.0
Applied rewrites51.0%
if 0.095000000000000001 < phi1 Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.8
Applied rewrites42.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.9
Applied rewrites42.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (- (+ 0.5 (* (cos phi1) t_0)) (* 0.5 (cos phi1))))
(t_2 (+ (pow (sin (/ (- phi1 phi2) 2.0)) 2.0) (* t_0 (cos phi2))))
(t_3 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0))))
(if (<= phi1 -0.0035)
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3)))))
(if (<= phi1 0.095)
(* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))
(* 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 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
double t_1 = (0.5 + (cos(phi1) * t_0)) - (0.5 * cos(phi1));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (t_0 * cos(phi2));
double t_3 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double tmp;
if (phi1 <= -0.0035) {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
} else if (phi1 <= 0.095) {
tmp = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = Float64(Float64(0.5 + Float64(cos(phi1) * t_0)) - Float64(0.5 * cos(phi1))) t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(t_0 * cos(phi2))) t_3 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) tmp = 0.0 if (phi1 <= -0.0035) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); elseif (phi1 <= 0.095) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); 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[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[phi1, -0.0035], 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[phi1, 0.095], 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], 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(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \left(0.5 + \cos \phi_1 \cdot t\_0\right) - 0.5 \cdot \cos \phi_1\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + t\_0 \cdot \cos \phi_2\\
t_3 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
\mathbf{if}\;\phi_1 \leq -0.0035:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\mathbf{elif}\;\phi_1 \leq 0.095:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\end{array}
\end{array}
if phi1 < -0.00350000000000000007Initial program 62.2%
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 -0.00350000000000000007 < phi1 < 0.095000000000000001Initial program 62.2%
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.f6453.1
Applied rewrites53.1%
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.f6451.0
Applied rewrites51.0%
if 0.095000000000000001 < phi1 Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.8
Applied rewrites42.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.9
Applied rewrites42.9%
(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 -14000000000000.0)
t_3
(if (<= phi2 0.004)
(* 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 <= -14000000000000.0) {
tmp = t_3;
} else if (phi2 <= 0.004) {
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 <= -14000000000000.0) tmp = t_3; elseif (phi2 <= 0.004) 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, -14000000000000.0], t$95$3, If[LessEqual[phi2, 0.004], 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 -14000000000000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 0.004:\\
\;\;\;\;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 < -1.4e13 or 0.0040000000000000001 < phi2 Initial program 62.2%
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 rewrites46.3%
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%
if -1.4e13 < phi2 < 0.0040000000000000001Initial program 62.2%
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.f6453.4
Applied rewrites53.4%
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.f6451.3
Applied rewrites51.3%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2 (pow (sin (/ (- phi1 phi2) 2.0)) 2.0))
(t_3
(+
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(* (* t_0 (cos phi2)) (cos phi1))))
(t_4 (+ t_2 (* t_0 (cos phi1)))))
(if (<= (+ t_2 (* (* (* (cos phi1) (cos phi2)) t_1) t_1)) 0.05)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 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 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((t_0 * cos(phi2)) * cos(phi1));
double t_4 = t_2 + (t_0 * cos(phi1));
double tmp;
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.05) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
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 * (lambda1 - lambda2))) ** 2.0d0
t_1 = sin(((lambda1 - lambda2) / 2.0d0))
t_2 = sin(((phi1 - phi2) / 2.0d0)) ** 2.0d0
t_3 = (0.5d0 - (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + ((t_0 * cos(phi2)) * cos(phi1))
t_4 = t_2 + (t_0 * cos(phi1))
if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.05d0) then
tmp = r * (2.0d0 * atan2(sqrt(t_4), sqrt((1.0d0 - t_4))))
else
tmp = r * (2.0d0 * atan2(sqrt(t_3), sqrt((1.0d0 - t_3))))
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 * (lambda1 - lambda2))), 2.0);
double t_1 = Math.sin(((lambda1 - lambda2) / 2.0));
double t_2 = Math.pow(Math.sin(((phi1 - phi2) / 2.0)), 2.0);
double t_3 = (0.5 - (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((t_0 * Math.cos(phi2)) * Math.cos(phi1));
double t_4 = t_2 + (t_0 * Math.cos(phi1));
double tmp;
if ((t_2 + (((Math.cos(phi1) * Math.cos(phi2)) * t_1) * t_1)) <= 0.05) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_4), Math.sqrt((1.0 - t_4))));
} else {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_3), Math.sqrt((1.0 - t_3))));
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = math.sin(((lambda1 - lambda2) / 2.0)) t_2 = math.pow(math.sin(((phi1 - phi2) / 2.0)), 2.0) t_3 = (0.5 - (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((t_0 * math.cos(phi2)) * math.cos(phi1)) t_4 = t_2 + (t_0 * math.cos(phi1)) tmp = 0 if (t_2 + (((math.cos(phi1) * math.cos(phi2)) * t_1) * t_1)) <= 0.05: tmp = R * (2.0 * math.atan2(math.sqrt(t_4), math.sqrt((1.0 - t_4)))) else: tmp = R * (2.0 * math.atan2(math.sqrt(t_3), math.sqrt((1.0 - t_3)))) return tmp
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0 t_3 = Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(Float64(t_0 * cos(phi2)) * cos(phi1))) t_4 = Float64(t_2 + Float64(t_0 * cos(phi1))) tmp = 0.0 if (Float64(t_2 + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.05) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); else tmp = Float64(R * Float64(2.0 * atan(sqrt(t_3), sqrt(Float64(1.0 - t_3))))); end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_1 = sin(((lambda1 - lambda2) / 2.0)); t_2 = sin(((phi1 - phi2) / 2.0)) ^ 2.0; t_3 = (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + ((t_0 * cos(phi2)) * cos(phi1)); t_4 = t_2 + (t_0 * cos(phi1)); tmp = 0.0; if ((t_2 + (((cos(phi1) * cos(phi2)) * t_1) * t_1)) <= 0.05) tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4)))); else tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3)))); end tmp_2 = tmp; end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, 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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$0 * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 + N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$2 + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 0.05], 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], 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]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2}\\
t_3 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \left(t\_0 \cdot \cos \phi_2\right) \cdot \cos \phi_1\\
t_4 := t\_2 + t\_0 \cdot \cos \phi_1\\
\mathbf{if}\;t\_2 + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1 \leq 0.05:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \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))))) < 0.050000000000000003Initial program 62.2%
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.f6453.4
Applied rewrites53.4%
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.f6451.3
Applied rewrites51.3%
if 0.050000000000000003 < (+.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 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
(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 (+ (- 0.5 (* 0.5 (cos (* 2.0 t_1)))) t_0))
(t_3 (sin t_1)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_3 t_3 t_0))
(sqrt (/ (- 1.0 (pow t_2 3.0)) (+ 1.0 (fma t_2 t_2 (* 1.0 t_2))))))))))
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 = (0.5 - (0.5 * cos((2.0 * t_1)))) + t_0;
double t_3 = sin(t_1);
return R * (2.0 * atan2(sqrt(fma(t_3, t_3, t_0)), sqrt(((1.0 - pow(t_2, 3.0)) / (1.0 + fma(t_2, t_2, (1.0 * t_2)))))));
}
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(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * t_1)))) + t_0) t_3 = sin(t_1) return Float64(R * Float64(2.0 * atan(sqrt(fma(t_3, t_3, t_0)), sqrt(Float64(Float64(1.0 - (t_2 ^ 3.0)) / Float64(1.0 + fma(t_2, t_2, Float64(1.0 * t_2)))))))) 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[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * t$95$1), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[Sin[t$95$1], $MachinePrecision]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$3 * t$95$3 + t$95$0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[(1.0 - N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$2 * t$95$2 + N[(1.0 * t$95$2), $MachinePrecision]), $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 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot t\_1\right)\right) + t\_0\\
t_3 := \sin t\_1\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_3, t\_3, t\_0\right)}}{\sqrt{\frac{1 - {t\_2}^{3}}{1 + \mathsf{fma}\left(t\_2, t\_2, 1 \cdot t\_2\right)}}}\right)
\end{array}
\end{array}
Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites62.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (/ (- lambda1 lambda2) 2.0)))
(t_1
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_0) t_0))))
(* 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}
Initial program 62.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (sin (* 0.5 (- phi1 phi2))))
(t_1
(fma
t_0
t_0
(*
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(cos phi1)))))
(* 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((0.5 * (phi1 - phi2)));
double t_1 = fma(t_0, t_0, ((pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)) * cos(phi1)));
return R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(phi1 - phi2))) t_1 = fma(t_0, t_0, Float64(Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)) * cos(phi1))) return Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))) 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[(t$95$0 * 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]), $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(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\\
t_1 := \mathsf{fma}\left(t\_0, 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\right)\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)
\end{array}
\end{array}
Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi1)
(* (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0) (cos phi2))
(pow (sin (* 0.5 (- phi1 phi2))) 2.0))))
(* (* (atan2 (sqrt t_0) (sqrt (- 1.0 t_0))) R) 2.0)))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi1), (pow(sin((0.5 * (lambda1 - lambda2))), 2.0) * cos(phi2)), pow(sin((0.5 * (phi1 - phi2))), 2.0));
return (atan2(sqrt(t_0), sqrt((1.0 - t_0))) * R) * 2.0;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi1), Float64((sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0) * cos(phi2)), (sin(Float64(0.5 * Float64(phi1 - phi2))) ^ 2.0)) return Float64(Float64(atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))) * R) * 2.0) end
code[R_, lambda1_, lambda2_, phi1_, phi2_] := Block[{t$95$0 = N[(N[Cos[phi1], $MachinePrecision] * N[(N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] + N[Power[N[Sin[N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[ArcTan[N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * R), $MachinePrecision] * 2.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_1, {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2} \cdot \cos \phi_2, {\sin \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)}^{2}\right)\\
\left(\tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}} \cdot R\right) \cdot 2
\end{array}
\end{array}
Initial program 62.2%
Taylor expanded in R around 0
Applied rewrites62.2%
(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 phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_2 (pow (sin (* 0.5 phi1)) 2.0))
(t_3 (+ (* t_0 (cos phi1)) t_2))
(t_4 (fma t_0 (cos phi1) t_2)))
(if (<= phi1 -1.9e-7)
(* R (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))))
(if (<= phi1 5.5e-23)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 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 = fma(t_0, cos(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_2 = pow(sin((0.5 * phi1)), 2.0);
double t_3 = (t_0 * cos(phi1)) + t_2;
double t_4 = fma(t_0, cos(phi1), t_2);
double tmp;
if (phi1 <= -1.9e-7) {
tmp = R * (2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4))));
} else if (phi1 <= 5.5e-23) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - 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(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_2 = sin(Float64(0.5 * phi1)) ^ 2.0 t_3 = Float64(Float64(t_0 * cos(phi1)) + t_2) t_4 = fma(t_0, cos(phi1), t_2) tmp = 0.0 if (phi1 <= -1.9e-7) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4))))); elseif (phi1 <= 5.5e-23) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * 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[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[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$0 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + t$95$2), $MachinePrecision]}, If[LessEqual[phi1, -1.9e-7], 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], If[LessEqual[phi1, 5.5e-23], 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], 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]]]]]]]]
\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_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_2 := {\sin \left(0.5 \cdot \phi_1\right)}^{2}\\
t_3 := t\_0 \cdot \cos \phi_1 + t\_2\\
t_4 := \mathsf{fma}\left(t\_0, \cos \phi_1, t\_2\right)\\
\mathbf{if}\;\phi_1 \leq -1.9 \cdot 10^{-7}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}}\right)\\
\mathbf{elif}\;\phi_1 \leq 5.5 \cdot 10^{-23}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if phi1 < -1.90000000000000007e-7Initial program 62.2%
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 -1.90000000000000007e-7 < phi1 < 5.5000000000000001e-23Initial program 62.2%
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 rewrites46.3%
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%
if 5.5000000000000001e-23 < phi1 Initial program 62.2%
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 phi2) (pow (sin (* -0.5 phi2)) 2.0)))
(t_2 (fma t_0 (cos phi1) (pow (sin (* 0.5 phi1)) 2.0)))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi1 -1.9e-7)
t_3
(if (<= phi1 5.5e-23)
(* 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(phi2), pow(sin((-0.5 * phi2)), 2.0));
double t_2 = fma(t_0, cos(phi1), pow(sin((0.5 * phi1)), 2.0));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi1 <= -1.9e-7) {
tmp = t_3;
} else if (phi1 <= 5.5e-23) {
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(phi2), (sin(Float64(-0.5 * phi2)) ^ 2.0)) t_2 = fma(t_0, cos(phi1), (sin(Float64(0.5 * phi1)) ^ 2.0)) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi1 <= -1.9e-7) tmp = t_3; elseif (phi1 <= 5.5e-23) 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[phi2], $MachinePrecision] + N[Power[N[Sin[N[(-0.5 * phi2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = 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$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[phi1, -1.9e-7], t$95$3, If[LessEqual[phi1, 5.5e-23], 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_2, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)\\
t_2 := \mathsf{fma}\left(t\_0, \cos \phi_1, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_1 \leq -1.9 \cdot 10^{-7}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_1 \leq 5.5 \cdot 10^{-23}:\\
\;\;\;\;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 phi1 < -1.90000000000000007e-7 or 5.5000000000000001e-23 < phi1 Initial program 62.2%
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 -1.90000000000000007e-7 < phi1 < 5.5000000000000001e-23Initial program 62.2%
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 rewrites46.3%
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%
(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 (- (+ 0.5 (* (cos phi2) t_0)) (* 0.5 (cos phi2))))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -3.3e-6)
t_3
(if (<= phi2 1.8e-10)
(* 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 = (0.5 + (cos(phi2) * t_0)) - (0.5 * cos(phi2));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -3.3e-6) {
tmp = t_3;
} else if (phi2 <= 1.8e-10) {
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 = Float64(Float64(0.5 + Float64(cos(phi2) * t_0)) - Float64(0.5 * cos(phi2))) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -3.3e-6) tmp = t_3; elseif (phi2 <= 1.8e-10) 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[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $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, -3.3e-6], t$95$3, If[LessEqual[phi2, 1.8e-10], 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 := \left(0.5 + \cos \phi_2 \cdot t\_0\right) - 0.5 \cdot \cos \phi_2\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -3.3 \cdot 10^{-6}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 1.8 \cdot 10^{-10}:\\
\;\;\;\;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 < -3.30000000000000017e-6 or 1.8e-10 < phi2 Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6442.4
Applied rewrites42.4%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6442.6
Applied rewrites42.6%
if -3.30000000000000017e-6 < phi2 < 1.8e-10Initial program 62.2%
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 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1
(+
(- 0.5 (* 0.5 (cos (* 2.0 (* 0.5 (- phi1 phi2))))))
(* (cos phi1) t_0)))
(t_2 (- (+ 0.5 (* (cos phi2) t_0)) (* 0.5 (cos phi2))))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -14000000000000.0)
t_3
(if (<= phi2 0.004)
(* 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 = (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * t_0);
double t_2 = (0.5 + (cos(phi2) * t_0)) - (0.5 * cos(phi2));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -14000000000000.0) {
tmp = t_3;
} else if (phi2 <= 0.004) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
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) :: tmp
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_1 = (0.5d0 - (0.5d0 * cos((2.0d0 * (0.5d0 * (phi1 - phi2)))))) + (cos(phi1) * t_0)
t_2 = (0.5d0 + (cos(phi2) * t_0)) - (0.5d0 * cos(phi2))
t_3 = r * (2.0d0 * atan2(sqrt(t_2), sqrt((1.0d0 - t_2))))
if (phi2 <= (-14000000000000.0d0)) then
tmp = t_3
else if (phi2 <= 0.004d0) then
tmp = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
else
tmp = t_3
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 * (lambda1 - lambda2))), 2.0);
double t_1 = (0.5 - (0.5 * Math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (Math.cos(phi1) * t_0);
double t_2 = (0.5 + (Math.cos(phi2) * t_0)) - (0.5 * Math.cos(phi2));
double t_3 = R * (2.0 * Math.atan2(Math.sqrt(t_2), Math.sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -14000000000000.0) {
tmp = t_3;
} else if (phi2 <= 0.004) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = (0.5 - (0.5 * math.cos((2.0 * (0.5 * (phi1 - phi2)))))) + (math.cos(phi1) * t_0) t_2 = (0.5 + (math.cos(phi2) * t_0)) - (0.5 * math.cos(phi2)) t_3 = R * (2.0 * math.atan2(math.sqrt(t_2), math.sqrt((1.0 - t_2)))) tmp = 0 if phi2 <= -14000000000000.0: tmp = t_3 elif phi2 <= 0.004: tmp = R * (2.0 * math.atan2(math.sqrt(t_1), math.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(0.5 - Float64(0.5 * cos(Float64(2.0 * Float64(0.5 * Float64(phi1 - phi2)))))) + Float64(cos(phi1) * t_0)) t_2 = Float64(Float64(0.5 + Float64(cos(phi2) * t_0)) - Float64(0.5 * cos(phi2))) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -14000000000000.0) tmp = t_3; elseif (phi2 <= 0.004) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_1 = (0.5 - (0.5 * cos((2.0 * (0.5 * (phi1 - phi2)))))) + (cos(phi1) * t_0); t_2 = (0.5 + (cos(phi2) * t_0)) - (0.5 * cos(phi2)); t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2)))); tmp = 0.0; if (phi2 <= -14000000000000.0) tmp = t_3; elseif (phi2 <= 0.004) tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); else tmp = t_3; end tmp_2 = 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[(0.5 - N[(0.5 * N[Cos[N[(2.0 * N[(0.5 * N[(phi1 - phi2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $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, -14000000000000.0], t$95$3, If[LessEqual[phi2, 0.004], 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 := \left(0.5 - 0.5 \cdot \cos \left(2 \cdot \left(0.5 \cdot \left(\phi_1 - \phi_2\right)\right)\right)\right) + \cos \phi_1 \cdot t\_0\\
t_2 := \left(0.5 + \cos \phi_2 \cdot t\_0\right) - 0.5 \cdot \cos \phi_2\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -14000000000000:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 0.004:\\
\;\;\;\;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 < -1.4e13 or 0.0040000000000000001 < phi2 Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6442.4
Applied rewrites42.4%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6442.6
Applied rewrites42.6%
if -1.4e13 < phi2 < 0.0040000000000000001Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
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.f6450.9
Applied rewrites50.9%
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.f6448.8
Applied rewrites48.8%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0))
(t_1 (- (+ 0.5 (* (cos phi1) t_0)) (* 0.5 (cos phi1))))
(t_2 (- (+ 0.5 (* (cos phi2) t_0)) (* 0.5 (cos phi2))))
(t_3 (* R (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))))))
(if (<= phi2 -3.3e-6)
t_3
(if (<= phi2 1.8e-10)
(* 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 = (0.5 + (cos(phi1) * t_0)) - (0.5 * cos(phi1));
double t_2 = (0.5 + (cos(phi2) * t_0)) - (0.5 * cos(phi2));
double t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -3.3e-6) {
tmp = t_3;
} else if (phi2 <= 1.8e-10) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
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) :: tmp
t_0 = sin((0.5d0 * (lambda1 - lambda2))) ** 2.0d0
t_1 = (0.5d0 + (cos(phi1) * t_0)) - (0.5d0 * cos(phi1))
t_2 = (0.5d0 + (cos(phi2) * t_0)) - (0.5d0 * cos(phi2))
t_3 = r * (2.0d0 * atan2(sqrt(t_2), sqrt((1.0d0 - t_2))))
if (phi2 <= (-3.3d-6)) then
tmp = t_3
else if (phi2 <= 1.8d-10) then
tmp = r * (2.0d0 * atan2(sqrt(t_1), sqrt((1.0d0 - t_1))))
else
tmp = t_3
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 * (lambda1 - lambda2))), 2.0);
double t_1 = (0.5 + (Math.cos(phi1) * t_0)) - (0.5 * Math.cos(phi1));
double t_2 = (0.5 + (Math.cos(phi2) * t_0)) - (0.5 * Math.cos(phi2));
double t_3 = R * (2.0 * Math.atan2(Math.sqrt(t_2), Math.sqrt((1.0 - t_2))));
double tmp;
if (phi2 <= -3.3e-6) {
tmp = t_3;
} else if (phi2 <= 1.8e-10) {
tmp = R * (2.0 * Math.atan2(Math.sqrt(t_1), Math.sqrt((1.0 - t_1))));
} else {
tmp = t_3;
}
return tmp;
}
def code(R, lambda1, lambda2, phi1, phi2): t_0 = math.pow(math.sin((0.5 * (lambda1 - lambda2))), 2.0) t_1 = (0.5 + (math.cos(phi1) * t_0)) - (0.5 * math.cos(phi1)) t_2 = (0.5 + (math.cos(phi2) * t_0)) - (0.5 * math.cos(phi2)) t_3 = R * (2.0 * math.atan2(math.sqrt(t_2), math.sqrt((1.0 - t_2)))) tmp = 0 if phi2 <= -3.3e-6: tmp = t_3 elif phi2 <= 1.8e-10: tmp = R * (2.0 * math.atan2(math.sqrt(t_1), math.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(0.5 + Float64(cos(phi1) * t_0)) - Float64(0.5 * cos(phi1))) t_2 = Float64(Float64(0.5 + Float64(cos(phi2) * t_0)) - Float64(0.5 * cos(phi2))) t_3 = Float64(R * Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2))))) tmp = 0.0 if (phi2 <= -3.3e-6) tmp = t_3; elseif (phi2 <= 1.8e-10) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = t_3; end return tmp end
function tmp_2 = code(R, lambda1, lambda2, phi1, phi2) t_0 = sin((0.5 * (lambda1 - lambda2))) ^ 2.0; t_1 = (0.5 + (cos(phi1) * t_0)) - (0.5 * cos(phi1)); t_2 = (0.5 + (cos(phi2) * t_0)) - (0.5 * cos(phi2)); t_3 = R * (2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2)))); tmp = 0.0; if (phi2 <= -3.3e-6) tmp = t_3; elseif (phi2 <= 1.8e-10) tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1)))); else tmp = t_3; end tmp_2 = 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[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.5 + N[(N[Cos[phi2], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi2], $MachinePrecision]), $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, -3.3e-6], t$95$3, If[LessEqual[phi2, 1.8e-10], 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 := \left(0.5 + \cos \phi_1 \cdot t\_0\right) - 0.5 \cdot \cos \phi_1\\
t_2 := \left(0.5 + \cos \phi_2 \cdot t\_0\right) - 0.5 \cdot \cos \phi_2\\
t_3 := R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}}\right)\\
\mathbf{if}\;\phi_2 \leq -3.3 \cdot 10^{-6}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;\phi_2 \leq 1.8 \cdot 10^{-10}:\\
\;\;\;\;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 < -3.30000000000000017e-6 or 1.8e-10 < phi2 Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6442.4
Applied rewrites42.4%
Taylor expanded in phi1 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
cos-neg-revN/A
lower-*.f64N/A
lift-cos.f6442.6
Applied rewrites42.6%
if -3.30000000000000017e-6 < phi2 < 1.8e-10Initial program 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.8
Applied rewrites42.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.9
Applied rewrites42.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(cos phi2)
(pow
(sin
(*
0.5
(/
(- (* lambda1 lambda1) (* lambda2 lambda2))
(+ lambda1 lambda2))))
2.0)
(*
(* phi2 phi2)
(+
0.25
(*
(* phi2 phi2)
(-
(* 0.0006944444444444445 (* phi2 phi2))
0.020833333333333332))))))
(t_1 (sin (/ (- lambda1 lambda2) 2.0)))
(t_2
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_1) t_1)))
(t_3
(-
(+ 0.5 (* (cos phi1) (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(* 0.5 (cos phi1)))))
(if (<= (* 2.0 (atan2 (sqrt t_2) (sqrt (- 1.0 t_2)))) 0.001)
(* R (* 2.0 (atan2 (sqrt t_0) (sqrt (- 1.0 t_0)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = fma(cos(phi2), pow(sin((0.5 * (((lambda1 * lambda1) - (lambda2 * lambda2)) / (lambda1 + lambda2)))), 2.0), ((phi2 * phi2) * (0.25 + ((phi2 * phi2) * ((0.0006944444444444445 * (phi2 * phi2)) - 0.020833333333333332)))));
double t_1 = sin(((lambda1 - lambda2) / 2.0));
double t_2 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_1) * t_1);
double t_3 = (0.5 + (cos(phi1) * pow(sin((0.5 * (lambda1 - lambda2))), 2.0))) - (0.5 * cos(phi1));
double tmp;
if ((2.0 * atan2(sqrt(t_2), sqrt((1.0 - t_2)))) <= 0.001) {
tmp = R * (2.0 * atan2(sqrt(t_0), sqrt((1.0 - t_0))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = fma(cos(phi2), (sin(Float64(0.5 * Float64(Float64(Float64(lambda1 * lambda1) - Float64(lambda2 * lambda2)) / Float64(lambda1 + lambda2)))) ^ 2.0), Float64(Float64(phi2 * phi2) * Float64(0.25 + Float64(Float64(phi2 * phi2) * Float64(Float64(0.0006944444444444445 * Float64(phi2 * phi2)) - 0.020833333333333332))))) t_1 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_2 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_1) * t_1)) t_3 = Float64(Float64(0.5 + Float64(cos(phi1) * (sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0))) - Float64(0.5 * cos(phi1))) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_2), sqrt(Float64(1.0 - t_2)))) <= 0.001) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_0), sqrt(Float64(1.0 - t_0))))); else tmp = Float64(R * Float64(2.0 * 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[(N[Cos[phi2], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(N[(N[(lambda1 * lambda1), $MachinePrecision] - N[(lambda2 * lambda2), $MachinePrecision]), $MachinePrecision] / N[(lambda1 + lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(phi2 * phi2), $MachinePrecision] * N[(0.25 + N[(N[(phi2 * phi2), $MachinePrecision] * N[(N[(0.0006944444444444445 * N[(phi2 * phi2), $MachinePrecision]), $MachinePrecision] - 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(N[(lambda1 - lambda2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Sin[N[(N[(phi1 - phi2), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] + N[(N[(N[(N[Cos[phi1], $MachinePrecision] * N[Cos[phi2], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(0.5 + N[(N[Cos[phi1], $MachinePrecision] * N[Power[N[Sin[N[(0.5 * N[(lambda1 - lambda2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[Cos[phi1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$2], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$2), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.001], 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], 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]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\cos \phi_2, {\sin \left(0.5 \cdot \frac{\lambda_1 \cdot \lambda_1 - \lambda_2 \cdot \lambda_2}{\lambda_1 + \lambda_2}\right)}^{2}, \left(\phi_2 \cdot \phi_2\right) \cdot \left(0.25 + \left(\phi_2 \cdot \phi_2\right) \cdot \left(0.0006944444444444445 \cdot \left(\phi_2 \cdot \phi_2\right) - 0.020833333333333332\right)\right)\right)\\
t_1 := \sin \left(\frac{\lambda_1 - \lambda_2}{2}\right)\\
t_2 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_1\right) \cdot t\_1\\
t_3 := \left(0.5 + \cos \phi_1 \cdot {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\right) - 0.5 \cdot \cos \phi_1\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_2}}{\sqrt{1 - t\_2}} \leq 0.001:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_0}}{\sqrt{1 - t\_0}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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))))))))) < 1e-3Initial program 62.2%
Taylor expanded in phi1 around 0
fp-cancel-sign-sub-invN/A
lower--.f64N/A
metadata-evalN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6442.7
Applied rewrites42.7%
Taylor expanded in phi1 around 0
fp-cancel-sign-sub-invN/A
lower--.f64N/A
metadata-evalN/A
lower-*.f64N/A
unpow2N/A
lower-*.f6440.8
Applied rewrites40.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
unpow2N/A
unpow2N/A
lower--.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f6426.1
Applied rewrites26.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
unpow2N/A
unpow2N/A
lower--.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f6426.1
Applied rewrites26.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
unpow2N/A
unpow2N/A
lower--.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f6426.1
Applied rewrites26.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
unpow2N/A
unpow2N/A
lower--.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f6426.1
Applied rewrites26.1%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites23.9%
Taylor expanded in phi1 around 0
lower-fma.f64N/A
Applied rewrites27.3%
Taylor expanded in phi2 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6418.0
Applied rewrites18.0%
Taylor expanded in phi2 around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6412.7
Applied rewrites12.7%
if 1e-3 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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 62.2%
Applied rewrites62.2%
Applied rewrites62.2%
Applied rewrites59.7%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.8
Applied rewrites42.8%
Taylor expanded in phi2 around 0
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lift-cos.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sin.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
lift-cos.f6442.9
Applied rewrites42.9%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (* 0.25 (* phi1 phi1))))
(sqrt (- 1.0 (fma (cos phi2) t_0 (pow (sin (* -0.5 phi2)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), (0.25 * (phi1 * phi1)))), sqrt((1.0 - fma(cos(phi2), t_0, pow(sin((-0.5 * phi2)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), Float64(0.25 * Float64(phi1 * phi1)))), sqrt(Float64(1.0 - fma(cos(phi2), t_0, (sin(Float64(-0.5 * phi2)) ^ 2.0))))))) 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]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $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]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_2, t\_0, {\sin \left(-0.5 \cdot \phi_2\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
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
lower-sin.f64N/A
lower-*.f6432.2
Applied rewrites32.2%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)))
(*
R
(*
2.0
(atan2
(sqrt (fma t_0 (cos phi1) (* 0.25 (* phi1 phi1))))
(sqrt (- 1.0 (fma (cos phi1) t_0 (pow (sin (* 0.5 phi1)) 2.0)))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = pow(sin((0.5 * (lambda1 - lambda2))), 2.0);
return R * (2.0 * atan2(sqrt(fma(t_0, cos(phi1), (0.25 * (phi1 * phi1)))), sqrt((1.0 - fma(cos(phi1), t_0, pow(sin((0.5 * phi1)), 2.0))))));
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = sin(Float64(0.5 * Float64(lambda1 - lambda2))) ^ 2.0 return Float64(R * Float64(2.0 * atan(sqrt(fma(t_0, cos(phi1), Float64(0.25 * Float64(phi1 * phi1)))), sqrt(Float64(1.0 - fma(cos(phi1), t_0, (sin(Float64(0.5 * phi1)) ^ 2.0))))))) 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]}, N[(R * N[(2.0 * N[ArcTan[N[Sqrt[N[(t$95$0 * N[Cos[phi1], $MachinePrecision] + N[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(1.0 - N[(N[Cos[phi1], $MachinePrecision] * t$95$0 + N[Power[N[Sin[N[(0.5 * phi1), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\sin \left(0.5 \cdot \left(\lambda_1 - \lambda_2\right)\right)}^{2}\\
R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{\mathsf{fma}\left(t\_0, \cos \phi_1, 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\right)}}{\sqrt{1 - \mathsf{fma}\left(\cos \phi_1, t\_0, {\sin \left(0.5 \cdot \phi_1\right)}^{2}\right)}}\right)
\end{array}
\end{array}
Initial program 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi2 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
lift-sin.f64N/A
lift-*.f64N/A
lift-pow.f6432.0
Applied rewrites32.0%
(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 62.2%
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)
(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 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
lift-sqrt.f64N/A
pow1/2N/A
lower-pow.f6427.6
Applied rewrites27.6%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma
(pow (sin (* 0.5 (- lambda1 lambda2))) 2.0)
(+
1.0
(* (* phi1 phi1) (- (* 0.041666666666666664 (* phi1 phi1)) 0.5)))
(* 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 + ((phi1 * phi1) * ((0.041666666666666664 * (phi1 * phi1)) - 0.5))), (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(Float64(phi1 * phi1) * Float64(Float64(0.041666666666666664 * Float64(phi1 * phi1)) - 0.5))), 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[(N[(phi1 * phi1), $MachinePrecision] * N[(N[(0.041666666666666664 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision] - 0.5), $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 + \left(\phi_1 \cdot \phi_1\right) \cdot \left(0.041666666666666664 \cdot \left(\phi_1 \cdot \phi_1\right) - 0.5\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 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
(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 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0 (* 0.25 (* phi1 phi1)))
(t_1
(fma
(fma
0.25
(* lambda2 lambda2)
(*
lambda1
(fma
-0.5
lambda2
(* lambda1 (+ 0.25 (* -0.125 (* lambda2 lambda2)))))))
(cos phi1)
t_0))
(t_2 (sin (/ (- lambda1 lambda2) 2.0)))
(t_3
(fma
(pow (sin (* -0.5 lambda2)) 2.0)
(+ 1.0 (* -0.5 (* phi1 phi1)))
t_0))
(t_4
(+
(pow (sin (/ (- phi1 phi2) 2.0)) 2.0)
(* (* (* (cos phi1) (cos phi2)) t_2) t_2))))
(if (<= (* 2.0 (atan2 (sqrt t_4) (sqrt (- 1.0 t_4)))) 0.001)
(* R (* 2.0 (atan2 (sqrt t_1) (sqrt (- 1.0 t_1)))))
(* R (* 2.0 (atan2 (sqrt t_3) (sqrt (- 1.0 t_3))))))))
double code(double R, double lambda1, double lambda2, double phi1, double phi2) {
double t_0 = 0.25 * (phi1 * phi1);
double t_1 = fma(fma(0.25, (lambda2 * lambda2), (lambda1 * fma(-0.5, lambda2, (lambda1 * (0.25 + (-0.125 * (lambda2 * lambda2))))))), cos(phi1), t_0);
double t_2 = sin(((lambda1 - lambda2) / 2.0));
double t_3 = fma(pow(sin((-0.5 * lambda2)), 2.0), (1.0 + (-0.5 * (phi1 * phi1))), t_0);
double t_4 = pow(sin(((phi1 - phi2) / 2.0)), 2.0) + (((cos(phi1) * cos(phi2)) * t_2) * t_2);
double tmp;
if ((2.0 * atan2(sqrt(t_4), sqrt((1.0 - t_4)))) <= 0.001) {
tmp = R * (2.0 * atan2(sqrt(t_1), sqrt((1.0 - t_1))));
} else {
tmp = R * (2.0 * atan2(sqrt(t_3), sqrt((1.0 - t_3))));
}
return tmp;
}
function code(R, lambda1, lambda2, phi1, phi2) t_0 = Float64(0.25 * Float64(phi1 * phi1)) t_1 = fma(fma(0.25, Float64(lambda2 * lambda2), Float64(lambda1 * fma(-0.5, lambda2, Float64(lambda1 * Float64(0.25 + Float64(-0.125 * Float64(lambda2 * lambda2))))))), cos(phi1), t_0) t_2 = sin(Float64(Float64(lambda1 - lambda2) / 2.0)) t_3 = fma((sin(Float64(-0.5 * lambda2)) ^ 2.0), Float64(1.0 + Float64(-0.5 * Float64(phi1 * phi1))), t_0) t_4 = Float64((sin(Float64(Float64(phi1 - phi2) / 2.0)) ^ 2.0) + Float64(Float64(Float64(cos(phi1) * cos(phi2)) * t_2) * t_2)) tmp = 0.0 if (Float64(2.0 * atan(sqrt(t_4), sqrt(Float64(1.0 - t_4)))) <= 0.001) tmp = Float64(R * Float64(2.0 * atan(sqrt(t_1), sqrt(Float64(1.0 - t_1))))); else tmp = Float64(R * Float64(2.0 * 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[(0.25 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.25 * N[(lambda2 * lambda2), $MachinePrecision] + N[(lambda1 * N[(-0.5 * lambda2 + N[(lambda1 * N[(0.25 + N[(-0.125 * N[(lambda2 * lambda2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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 * lambda2), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(1.0 + N[(-0.5 * N[(phi1 * phi1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]}, Block[{t$95$4 = 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$2), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(2.0 * N[ArcTan[N[Sqrt[t$95$4], $MachinePrecision] / N[Sqrt[N[(1.0 - t$95$4), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.001], 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], 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]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.25 \cdot \left(\phi_1 \cdot \phi_1\right)\\
t_1 := \mathsf{fma}\left(\mathsf{fma}\left(0.25, \lambda_2 \cdot \lambda_2, \lambda_1 \cdot \mathsf{fma}\left(-0.5, \lambda_2, \lambda_1 \cdot \left(0.25 + -0.125 \cdot \left(\lambda_2 \cdot \lambda_2\right)\right)\right)\right), \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_2\right)}^{2}, 1 + -0.5 \cdot \left(\phi_1 \cdot \phi_1\right), t\_0\right)\\
t_4 := {\sin \left(\frac{\phi_1 - \phi_2}{2}\right)}^{2} + \left(\left(\cos \phi_1 \cdot \cos \phi_2\right) \cdot t\_2\right) \cdot t\_2\\
\mathbf{if}\;2 \cdot \tan^{-1}_* \frac{\sqrt{t\_4}}{\sqrt{1 - t\_4}} \leq 0.001:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_1}}{\sqrt{1 - t\_1}}\right)\\
\mathbf{else}:\\
\;\;\;\;R \cdot \left(2 \cdot \tan^{-1}_* \frac{\sqrt{t\_3}}{\sqrt{1 - t\_3}}\right)\\
\end{array}
\end{array}
if (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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))))))))) < 1e-3Initial program 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
Applied rewrites16.1%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
Applied rewrites12.5%
Taylor expanded in lambda1 around 0
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f647.4
Applied rewrites7.4%
Taylor expanded in lambda1 around 0
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f645.1
Applied rewrites5.1%
if 1e-3 < (*.f64 #s(literal 2 binary64) (atan2.f64 (sqrt.f64 (+.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)))))) (sqrt.f64 (-.f64 #s(literal 1 binary64) (+.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 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in lambda1 around 0
lower-*.f6415.3
Applied rewrites15.3%
Taylor expanded in lambda1 around 0
lower-*.f6414.5
Applied rewrites14.5%
(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 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in phi1 around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in lambda1 around 0
lower-*.f6415.3
Applied rewrites15.3%
Taylor expanded in lambda1 around 0
lower-*.f6414.5
Applied rewrites14.5%
(FPCore (R lambda1 lambda2 phi1 phi2)
:precision binary64
(let* ((t_0
(fma (* 0.25 (* lambda2 lambda2)) (cos 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((0.25 * (lambda2 * lambda2)), cos(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(Float64(0.25 * Float64(lambda2 * lambda2)), cos(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[(0.25 * N[(lambda2 * lambda2), $MachinePrecision]), $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[Sqrt[N[(1.0 - t$95$0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.25 \cdot \left(\lambda_2 \cdot \lambda_2\right), \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}}{\sqrt{1 - t\_0}}\right)
\end{array}
\end{array}
Initial program 62.2%
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
pow2N/A
lift-*.f6432.0
Applied rewrites32.0%
Taylor expanded in phi1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f6422.5
Applied rewrites22.5%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
Applied rewrites16.1%
Taylor expanded in lambda2 around 0
lower-fma.f64N/A
Applied rewrites12.5%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f646.0
Applied rewrites6.0%
Taylor expanded in lambda1 around 0
lower-*.f64N/A
pow2N/A
lift-*.f644.4
Applied rewrites4.4%
herbie shell --seed 2025136
(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))))))))))