
(FPCore (t l Om Omc) :precision binary64 (asin (sqrt (/ (- 1.0 (pow (/ Om Omc) 2.0)) (+ 1.0 (* 2.0 (pow (/ t l) 2.0)))))))
double code(double t, double l, double Om, double Omc) {
return asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / (1.0 + (2.0 * pow((t / l), 2.0))))));
}
real(8) function code(t, l, om, omc)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: om
real(8), intent (in) :: omc
code = asin(sqrt(((1.0d0 - ((om / omc) ** 2.0d0)) / (1.0d0 + (2.0d0 * ((t / l) ** 2.0d0))))))
end function
public static double code(double t, double l, double Om, double Omc) {
return Math.asin(Math.sqrt(((1.0 - Math.pow((Om / Omc), 2.0)) / (1.0 + (2.0 * Math.pow((t / l), 2.0))))));
}
def code(t, l, Om, Omc): return math.asin(math.sqrt(((1.0 - math.pow((Om / Omc), 2.0)) / (1.0 + (2.0 * math.pow((t / l), 2.0))))))
function code(t, l, Om, Omc) return asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / Float64(1.0 + Float64(2.0 * (Float64(t / l) ^ 2.0)))))) end
function tmp = code(t, l, Om, Omc) tmp = asin(sqrt(((1.0 - ((Om / Omc) ^ 2.0)) / (1.0 + (2.0 * ((t / l) ^ 2.0)))))); end
code[t_, l_, Om_, Omc_] := N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(2.0 * N[Power[N[(t / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{1 + 2 \cdot {\left(\frac{t}{\ell}\right)}^{2}}}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 14 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l Om Omc) :precision binary64 (asin (sqrt (/ (- 1.0 (pow (/ Om Omc) 2.0)) (+ 1.0 (* 2.0 (pow (/ t l) 2.0)))))))
double code(double t, double l, double Om, double Omc) {
return asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / (1.0 + (2.0 * pow((t / l), 2.0))))));
}
real(8) function code(t, l, om, omc)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: om
real(8), intent (in) :: omc
code = asin(sqrt(((1.0d0 - ((om / omc) ** 2.0d0)) / (1.0d0 + (2.0d0 * ((t / l) ** 2.0d0))))))
end function
public static double code(double t, double l, double Om, double Omc) {
return Math.asin(Math.sqrt(((1.0 - Math.pow((Om / Omc), 2.0)) / (1.0 + (2.0 * Math.pow((t / l), 2.0))))));
}
def code(t, l, Om, Omc): return math.asin(math.sqrt(((1.0 - math.pow((Om / Omc), 2.0)) / (1.0 + (2.0 * math.pow((t / l), 2.0))))))
function code(t, l, Om, Omc) return asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / Float64(1.0 + Float64(2.0 * (Float64(t / l) ^ 2.0)))))) end
function tmp = code(t, l, Om, Omc) tmp = asin(sqrt(((1.0 - ((Om / Omc) ^ 2.0)) / (1.0 + (2.0 * ((t / l) ^ 2.0)))))); end
code[t_, l_, Om_, Omc_] := N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(2.0 * N[Power[N[(t / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{1 + 2 \cdot {\left(\frac{t}{\ell}\right)}^{2}}}\right)
\end{array}
t_m = (fabs.f64 t)
l_m = (fabs.f64 l)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 1e+118)
(asin
(sqrt
(/ (- 1.0 (pow (/ Om Omc) 2.0)) (+ 1.0 (* 2.0 (pow (/ t_m l_m) 2.0))))))
(asin
(*
l_m
(*
(sqrt (fma (/ Om Omc) (- 0.0 (/ Om Omc)) 1.0))
(fma
-0.125
(/ (* l_m l_m) (* (* t_m t_m) (* t_m (sqrt 0.5))))
(/ (sqrt 0.5) t_m)))))))t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+118) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / (1.0 + (2.0 * pow((t_m / l_m), 2.0))))));
} else {
tmp = asin((l_m * (sqrt(fma((Om / Omc), (0.0 - (Om / Omc)), 1.0)) * fma(-0.125, ((l_m * l_m) / ((t_m * t_m) * (t_m * sqrt(0.5)))), (sqrt(0.5) / t_m)))));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+118) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / Float64(1.0 + Float64(2.0 * (Float64(t_m / l_m) ^ 2.0)))))); else tmp = asin(Float64(l_m * Float64(sqrt(fma(Float64(Om / Omc), Float64(0.0 - Float64(Om / Omc)), 1.0)) * fma(-0.125, Float64(Float64(l_m * l_m) / Float64(Float64(t_m * t_m) * Float64(t_m * sqrt(0.5)))), Float64(sqrt(0.5) / t_m))))); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+118], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(2.0 * N[Power[N[(t$95$m / l$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(l$95$m * N[(N[Sqrt[N[(N[(Om / Omc), $MachinePrecision] * N[(0.0 - N[(Om / Omc), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] * N[(-0.125 * N[(N[(l$95$m * l$95$m), $MachinePrecision] / N[(N[(t$95$m * t$95$m), $MachinePrecision] * N[(t$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+118}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{1 + 2 \cdot {\left(\frac{t\_m}{l\_m}\right)}^{2}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(l\_m \cdot \left(\sqrt{\mathsf{fma}\left(\frac{Om}{Omc}, 0 - \frac{Om}{Omc}, 1\right)} \cdot \mathsf{fma}\left(-0.125, \frac{l\_m \cdot l\_m}{\left(t\_m \cdot t\_m\right) \cdot \left(t\_m \cdot \sqrt{0.5}\right)}, \frac{\sqrt{0.5}}{t\_m}\right)\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 9.99999999999999967e117Initial program 90.1%
if 9.99999999999999967e117 < (/.f64 t l) Initial program 58.6%
Taylor expanded in l around 0
Simplified89.4%
times-fracN/A
unpow2N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6499.7%
Applied egg-rr99.7%
Final simplification91.6%
t_m = (fabs.f64 t)
l_m = (fabs.f64 l)
(FPCore (t_m l_m Om Omc)
:precision binary64
(let* ((t_1 (sqrt (/ t_m l_m))))
(if (<= (/ t_m l_m) 1e+101)
(asin
(sqrt
(/
(- 1.0 (pow (/ Om Omc) 2.0))
(fma (* (* (/ t_m l_m) 2.0) t_1) t_1 1.0))))
(asin
(*
l_m
(*
(sqrt (fma (/ Om Omc) (- 0.0 (/ Om Omc)) 1.0))
(fma
-0.125
(/ (* l_m l_m) (* (* t_m t_m) (* t_m (sqrt 0.5))))
(/ (sqrt 0.5) t_m))))))))t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double t_1 = sqrt((t_m / l_m));
double tmp;
if ((t_m / l_m) <= 1e+101) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / fma((((t_m / l_m) * 2.0) * t_1), t_1, 1.0))));
} else {
tmp = asin((l_m * (sqrt(fma((Om / Omc), (0.0 - (Om / Omc)), 1.0)) * fma(-0.125, ((l_m * l_m) / ((t_m * t_m) * (t_m * sqrt(0.5)))), (sqrt(0.5) / t_m)))));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) t_1 = sqrt(Float64(t_m / l_m)) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+101) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / fma(Float64(Float64(Float64(t_m / l_m) * 2.0) * t_1), t_1, 1.0)))); else tmp = asin(Float64(l_m * Float64(sqrt(fma(Float64(Om / Omc), Float64(0.0 - Float64(Om / Omc)), 1.0)) * fma(-0.125, Float64(Float64(l_m * l_m) / Float64(Float64(t_m * t_m) * Float64(t_m * sqrt(0.5)))), Float64(sqrt(0.5) / t_m))))); end return tmp end
t_m = N[Abs[t], $MachinePrecision]
l_m = N[Abs[l], $MachinePrecision]
code[t$95$m_, l$95$m_, Om_, Omc_] := Block[{t$95$1 = N[Sqrt[N[(t$95$m / l$95$m), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+101], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(t$95$m / l$95$m), $MachinePrecision] * 2.0), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(l$95$m * N[(N[Sqrt[N[(N[(Om / Omc), $MachinePrecision] * N[(0.0 - N[(Om / Omc), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] * N[(-0.125 * N[(N[(l$95$m * l$95$m), $MachinePrecision] / N[(N[(t$95$m * t$95$m), $MachinePrecision] * N[(t$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
t_1 := \sqrt{\frac{t\_m}{l\_m}}\\
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+101}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{\mathsf{fma}\left(\left(\frac{t\_m}{l\_m} \cdot 2\right) \cdot t\_1, t\_1, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(l\_m \cdot \left(\sqrt{\mathsf{fma}\left(\frac{Om}{Omc}, 0 - \frac{Om}{Omc}, 1\right)} \cdot \mathsf{fma}\left(-0.125, \frac{l\_m \cdot l\_m}{\left(t\_m \cdot t\_m\right) \cdot \left(t\_m \cdot \sqrt{0.5}\right)}, \frac{\sqrt{0.5}}{t\_m}\right)\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 9.9999999999999998e100Initial program 90.1%
+-commutativeN/A
unpow2N/A
associate-*r*N/A
unpow1N/A
sqr-powN/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6443.9%
Applied egg-rr43.9%
if 9.9999999999999998e100 < (/.f64 t l) Initial program 59.6%
Taylor expanded in l around 0
Simplified89.7%
times-fracN/A
unpow2N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6499.6%
Applied egg-rr99.6%
Final simplification52.6%
t_m = (fabs.f64 t)
l_m = (fabs.f64 l)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 2000000000000.0)
(asin
(sqrt
(/
(- 1.0 (pow (/ Om Omc) 2.0))
(+ 1.0 (* 2.0 (/ (* t_m (/ t_m l_m)) l_m))))))
(asin (/ (* l_m (sqrt 0.5)) t_m))))t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 2000000000000.0) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / (1.0 + (2.0 * ((t_m * (t_m / l_m)) / l_m))))));
} else {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = abs(t)
l_m = abs(l)
real(8) function code(t_m, l_m, om, omc)
real(8), intent (in) :: t_m
real(8), intent (in) :: l_m
real(8), intent (in) :: om
real(8), intent (in) :: omc
real(8) :: tmp
if ((t_m / l_m) <= 2000000000000.0d0) then
tmp = asin(sqrt(((1.0d0 - ((om / omc) ** 2.0d0)) / (1.0d0 + (2.0d0 * ((t_m * (t_m / l_m)) / l_m))))))
else
tmp = asin(((l_m * sqrt(0.5d0)) / t_m))
end if
code = tmp
end function
t_m = Math.abs(t);
l_m = Math.abs(l);
public static double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 2000000000000.0) {
tmp = Math.asin(Math.sqrt(((1.0 - Math.pow((Om / Omc), 2.0)) / (1.0 + (2.0 * ((t_m * (t_m / l_m)) / l_m))))));
} else {
tmp = Math.asin(((l_m * Math.sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = math.fabs(t) l_m = math.fabs(l) def code(t_m, l_m, Om, Omc): tmp = 0 if (t_m / l_m) <= 2000000000000.0: tmp = math.asin(math.sqrt(((1.0 - math.pow((Om / Omc), 2.0)) / (1.0 + (2.0 * ((t_m * (t_m / l_m)) / l_m)))))) else: tmp = math.asin(((l_m * math.sqrt(0.5)) / t_m)) return tmp
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 2000000000000.0) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / Float64(1.0 + Float64(2.0 * Float64(Float64(t_m * Float64(t_m / l_m)) / l_m)))))); else tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); end return tmp end
t_m = abs(t); l_m = abs(l); function tmp_2 = code(t_m, l_m, Om, Omc) tmp = 0.0; if ((t_m / l_m) <= 2000000000000.0) tmp = asin(sqrt(((1.0 - ((Om / Omc) ^ 2.0)) / (1.0 + (2.0 * ((t_m * (t_m / l_m)) / l_m)))))); else tmp = asin(((l_m * sqrt(0.5)) / t_m)); end tmp_2 = tmp; end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 2000000000000.0], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(2.0 * N[(N[(t$95$m * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 2000000000000:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{1 + 2 \cdot \frac{t\_m \cdot \frac{t\_m}{l\_m}}{l\_m}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 2e12Initial program 89.4%
unpow2N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f6488.5%
Applied egg-rr88.5%
if 2e12 < (/.f64 t l) Initial program 69.9%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6448.3%
Simplified48.3%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6498.4%
Simplified98.4%
t_m = (fabs.f64 t)
l_m = (fabs.f64 l)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 2000000000000.0)
(asin
(sqrt
(/
(- 1.0 (pow (/ Om Omc) 2.0))
(fma (* t_m 2.0) (/ (/ t_m l_m) l_m) 1.0))))
(asin (/ (* l_m (sqrt 0.5)) t_m))))t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 2000000000000.0) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / fma((t_m * 2.0), ((t_m / l_m) / l_m), 1.0))));
} else {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 2000000000000.0) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / fma(Float64(t_m * 2.0), Float64(Float64(t_m / l_m) / l_m), 1.0)))); else tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 2000000000000.0], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * 2.0), $MachinePrecision] * N[(N[(t$95$m / l$95$m), $MachinePrecision] / l$95$m), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 2000000000000:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{\mathsf{fma}\left(t\_m \cdot 2, \frac{\frac{t\_m}{l\_m}}{l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 2e12Initial program 89.4%
+-commutativeN/A
unpow2N/A
div-invN/A
associate-*l*N/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
associate-/r/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f6486.6%
Applied egg-rr86.6%
if 2e12 < (/.f64 t l) Initial program 69.9%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6448.3%
Simplified48.3%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6498.4%
Simplified98.4%
Final simplification89.1%
t_m = (fabs.f64 t)
l_m = (fabs.f64 l)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 1e+118)
(asin (sqrt (/ 1.0 (fma (/ t_m l_m) (* (/ t_m l_m) 2.0) 1.0))))
(asin
(*
l_m
(*
(sqrt (fma (/ Om Omc) (- 0.0 (/ Om Omc)) 1.0))
(fma
-0.125
(/ (* l_m l_m) (* (* t_m t_m) (* t_m (sqrt 0.5))))
(/ (sqrt 0.5) t_m)))))))t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+118) {
tmp = asin(sqrt((1.0 / fma((t_m / l_m), ((t_m / l_m) * 2.0), 1.0))));
} else {
tmp = asin((l_m * (sqrt(fma((Om / Omc), (0.0 - (Om / Omc)), 1.0)) * fma(-0.125, ((l_m * l_m) / ((t_m * t_m) * (t_m * sqrt(0.5)))), (sqrt(0.5) / t_m)))));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+118) tmp = asin(sqrt(Float64(1.0 / fma(Float64(t_m / l_m), Float64(Float64(t_m / l_m) * 2.0), 1.0)))); else tmp = asin(Float64(l_m * Float64(sqrt(fma(Float64(Om / Omc), Float64(0.0 - Float64(Om / Omc)), 1.0)) * fma(-0.125, Float64(Float64(l_m * l_m) / Float64(Float64(t_m * t_m) * Float64(t_m * sqrt(0.5)))), Float64(sqrt(0.5) / t_m))))); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+118], N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(t$95$m / l$95$m), $MachinePrecision] * N[(N[(t$95$m / l$95$m), $MachinePrecision] * 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(l$95$m * N[(N[Sqrt[N[(N[(Om / Omc), $MachinePrecision] * N[(0.0 - N[(Om / Omc), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision] * N[(-0.125 * N[(N[(l$95$m * l$95$m), $MachinePrecision] / N[(N[(t$95$m * t$95$m), $MachinePrecision] * N[(t$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+118}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{t\_m}{l\_m}, \frac{t\_m}{l\_m} \cdot 2, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(l\_m \cdot \left(\sqrt{\mathsf{fma}\left(\frac{Om}{Omc}, 0 - \frac{Om}{Omc}, 1\right)} \cdot \mathsf{fma}\left(-0.125, \frac{l\_m \cdot l\_m}{\left(t\_m \cdot t\_m\right) \cdot \left(t\_m \cdot \sqrt{0.5}\right)}, \frac{\sqrt{0.5}}{t\_m}\right)\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 9.99999999999999967e117Initial program 90.1%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6467.2%
Simplified67.2%
associate-*r/N/A
associate-*l*N/A
frac-timesN/A
associate-*l/N/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6488.6%
Applied egg-rr88.6%
if 9.99999999999999967e117 < (/.f64 t l) Initial program 58.6%
Taylor expanded in l around 0
Simplified89.4%
times-fracN/A
unpow2N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6499.7%
Applied egg-rr99.7%
Final simplification90.3%
t_m = (fabs.f64 t)
l_m = (fabs.f64 l)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 1e+118)
(asin (sqrt (/ 1.0 (fma (/ t_m l_m) (* (/ t_m l_m) 2.0) 1.0))))
(asin
(*
l_m
(fma
-0.125
(/ (* l_m l_m) (* (sqrt 0.5) (* t_m (* t_m t_m))))
(/ (sqrt 0.5) t_m))))))t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+118) {
tmp = asin(sqrt((1.0 / fma((t_m / l_m), ((t_m / l_m) * 2.0), 1.0))));
} else {
tmp = asin((l_m * fma(-0.125, ((l_m * l_m) / (sqrt(0.5) * (t_m * (t_m * t_m)))), (sqrt(0.5) / t_m))));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+118) tmp = asin(sqrt(Float64(1.0 / fma(Float64(t_m / l_m), Float64(Float64(t_m / l_m) * 2.0), 1.0)))); else tmp = asin(Float64(l_m * fma(-0.125, Float64(Float64(l_m * l_m) / Float64(sqrt(0.5) * Float64(t_m * Float64(t_m * t_m)))), Float64(sqrt(0.5) / t_m)))); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+118], N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(t$95$m / l$95$m), $MachinePrecision] * N[(N[(t$95$m / l$95$m), $MachinePrecision] * 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(l$95$m * N[(-0.125 * N[(N[(l$95$m * l$95$m), $MachinePrecision] / N[(N[Sqrt[0.5], $MachinePrecision] * N[(t$95$m * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+118}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{t\_m}{l\_m}, \frac{t\_m}{l\_m} \cdot 2, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(l\_m \cdot \mathsf{fma}\left(-0.125, \frac{l\_m \cdot l\_m}{\sqrt{0.5} \cdot \left(t\_m \cdot \left(t\_m \cdot t\_m\right)\right)}, \frac{\sqrt{0.5}}{t\_m}\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 9.99999999999999967e117Initial program 90.1%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6467.2%
Simplified67.2%
associate-*r/N/A
associate-*l*N/A
frac-timesN/A
associate-*l/N/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6488.6%
Applied egg-rr88.6%
if 9.99999999999999967e117 < (/.f64 t l) Initial program 58.6%
Taylor expanded in l around 0
Simplified89.4%
Taylor expanded in Om around 0
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6498.1%
Simplified98.1%
t_m = (fabs.f64 t) l_m = (fabs.f64 l) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= (/ t_m l_m) 1e+59) (asin (sqrt (/ 1.0 (fma (/ t_m l_m) (* (/ t_m l_m) 2.0) 1.0)))) (asin (/ (* l_m (sqrt 0.5)) t_m))))
t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+59) {
tmp = asin(sqrt((1.0 / fma((t_m / l_m), ((t_m / l_m) * 2.0), 1.0))));
} else {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+59) tmp = asin(sqrt(Float64(1.0 / fma(Float64(t_m / l_m), Float64(Float64(t_m / l_m) * 2.0), 1.0)))); else tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+59], N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(t$95$m / l$95$m), $MachinePrecision] * N[(N[(t$95$m / l$95$m), $MachinePrecision] * 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+59}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{t\_m}{l\_m}, \frac{t\_m}{l\_m} \cdot 2, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 9.99999999999999972e58Initial program 90.0%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6468.1%
Simplified68.1%
associate-*r/N/A
associate-*l*N/A
frac-timesN/A
associate-*l/N/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6488.4%
Applied egg-rr88.4%
if 9.99999999999999972e58 < (/.f64 t l) Initial program 61.4%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6445.5%
Simplified45.5%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6498.1%
Simplified98.1%
t_m = (fabs.f64 t)
l_m = (fabs.f64 l)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= t_m 3.2e-129)
(asin (sqrt (fma (/ Om Omc) (- 0.0 (/ Om Omc)) 1.0)))
(if (<= t_m 1.22e+145)
(asin (sqrt (/ 1.0 (fma 2.0 (/ (* t_m t_m) (* l_m l_m)) 1.0))))
(asin (/ (* l_m (sqrt 0.5)) t_m)))))t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (t_m <= 3.2e-129) {
tmp = asin(sqrt(fma((Om / Omc), (0.0 - (Om / Omc)), 1.0)));
} else if (t_m <= 1.22e+145) {
tmp = asin(sqrt((1.0 / fma(2.0, ((t_m * t_m) / (l_m * l_m)), 1.0))));
} else {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (t_m <= 3.2e-129) tmp = asin(sqrt(fma(Float64(Om / Omc), Float64(0.0 - Float64(Om / Omc)), 1.0))); elseif (t_m <= 1.22e+145) tmp = asin(sqrt(Float64(1.0 / fma(2.0, Float64(Float64(t_m * t_m) / Float64(l_m * l_m)), 1.0)))); else tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[t$95$m, 3.2e-129], N[ArcSin[N[Sqrt[N[(N[(Om / Omc), $MachinePrecision] * N[(0.0 - N[(Om / Omc), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], If[LessEqual[t$95$m, 1.22e+145], N[ArcSin[N[Sqrt[N[(1.0 / N[(2.0 * N[(N[(t$95$m * t$95$m), $MachinePrecision] / N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;t\_m \leq 3.2 \cdot 10^{-129}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\mathsf{fma}\left(\frac{Om}{Omc}, 0 - \frac{Om}{Omc}, 1\right)}\right)\\
\mathbf{elif}\;t\_m \leq 1.22 \cdot 10^{+145}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(2, \frac{t\_m \cdot t\_m}{l\_m \cdot l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\end{array}
\end{array}
if t < 3.2000000000000003e-129Initial program 88.1%
Taylor expanded in t around 0
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6453.3%
Simplified53.3%
times-fracN/A
unpow2N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6459.1%
Applied egg-rr59.1%
if 3.2000000000000003e-129 < t < 1.21999999999999994e145Initial program 86.5%
+-commutativeN/A
unpow2N/A
associate-*r*N/A
unpow1N/A
sqr-powN/A
associate-*r*N/A
accelerator-lowering-fma.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
unpow1/2N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f6441.7%
Applied egg-rr41.7%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6484.4%
Simplified84.4%
if 1.21999999999999994e145 < t Initial program 69.7%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6438.0%
Simplified38.0%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6465.5%
Simplified65.5%
Final simplification65.2%
t_m = (fabs.f64 t) l_m = (fabs.f64 l) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= l_m 1.9e-158) (asin (/ (* l_m (sqrt 0.5)) t_m)) (asin (/ 1.0 (sqrt (fma t_m (* t_m (/ 2.0 (* l_m l_m))) 1.0))))))
t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (l_m <= 1.9e-158) {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
} else {
tmp = asin((1.0 / sqrt(fma(t_m, (t_m * (2.0 / (l_m * l_m))), 1.0))));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (l_m <= 1.9e-158) tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); else tmp = asin(Float64(1.0 / sqrt(fma(t_m, Float64(t_m * Float64(2.0 / Float64(l_m * l_m))), 1.0)))); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[l$95$m, 1.9e-158], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(1.0 / N[Sqrt[N[(t$95$m * N[(t$95$m * N[(2.0 / N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;l\_m \leq 1.9 \cdot 10^{-158}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{1}{\sqrt{\mathsf{fma}\left(t\_m, t\_m \cdot \frac{2}{l\_m \cdot l\_m}, 1\right)}}\right)\\
\end{array}
\end{array}
if l < 1.8999999999999999e-158Initial program 84.0%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6460.5%
Simplified60.5%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6433.7%
Simplified33.7%
if 1.8999999999999999e-158 < l Initial program 87.5%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6470.5%
Simplified70.5%
frac-2negN/A
distribute-neg-inN/A
associate-*r/N/A
associate-*l*N/A
frac-timesN/A
associate-*l/N/A
distribute-neg-inN/A
frac-2negN/A
sqrt-divN/A
metadata-evalN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
Applied egg-rr80.7%
t_m = (fabs.f64 t) l_m = (fabs.f64 l) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= l_m 1.9e-158) (asin (/ (* l_m (sqrt 0.5)) t_m)) (asin (sqrt (/ 1.0 (fma t_m (* t_m (/ 2.0 (* l_m l_m))) 1.0))))))
t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (l_m <= 1.9e-158) {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
} else {
tmp = asin(sqrt((1.0 / fma(t_m, (t_m * (2.0 / (l_m * l_m))), 1.0))));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (l_m <= 1.9e-158) tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); else tmp = asin(sqrt(Float64(1.0 / fma(t_m, Float64(t_m * Float64(2.0 / Float64(l_m * l_m))), 1.0)))); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[l$95$m, 1.9e-158], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision], N[ArcSin[N[Sqrt[N[(1.0 / N[(t$95$m * N[(t$95$m * N[(2.0 / N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;l\_m \leq 1.9 \cdot 10^{-158}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(t\_m, t\_m \cdot \frac{2}{l\_m \cdot l\_m}, 1\right)}}\right)\\
\end{array}
\end{array}
if l < 1.8999999999999999e-158Initial program 84.0%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6460.5%
Simplified60.5%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6433.7%
Simplified33.7%
if 1.8999999999999999e-158 < l Initial program 87.5%
unpow2N/A
frac-timesN/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6483.9%
Applied egg-rr83.9%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
unpow2N/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6480.7%
Simplified80.7%
t_m = (fabs.f64 t) l_m = (fabs.f64 l) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= t_m 4.6e+59) (asin (sqrt (fma (/ Om Omc) (- 0.0 (/ Om Omc)) 1.0))) (asin (/ (* l_m (sqrt 0.5)) t_m))))
t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (t_m <= 4.6e+59) {
tmp = asin(sqrt(fma((Om / Omc), (0.0 - (Om / Omc)), 1.0)));
} else {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (t_m <= 4.6e+59) tmp = asin(sqrt(fma(Float64(Om / Omc), Float64(0.0 - Float64(Om / Omc)), 1.0))); else tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[t$95$m, 4.6e+59], N[ArcSin[N[Sqrt[N[(N[(Om / Omc), $MachinePrecision] * N[(0.0 - N[(Om / Omc), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;t\_m \leq 4.6 \cdot 10^{+59}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\mathsf{fma}\left(\frac{Om}{Omc}, 0 - \frac{Om}{Omc}, 1\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\end{array}
\end{array}
if t < 4.60000000000000016e59Initial program 87.5%
Taylor expanded in t around 0
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.8%
Simplified54.8%
times-fracN/A
unpow2N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f6460.5%
Applied egg-rr60.5%
if 4.60000000000000016e59 < t Initial program 75.6%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6452.2%
Simplified52.2%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6461.7%
Simplified61.7%
Final simplification60.7%
t_m = (fabs.f64 t) l_m = (fabs.f64 l) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= t_m 5.6e+59) (asin (fma (/ Om Omc) (* (/ Om Omc) -0.5) 1.0)) (asin (/ (* l_m (sqrt 0.5)) t_m))))
t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (t_m <= 5.6e+59) {
tmp = asin(fma((Om / Omc), ((Om / Omc) * -0.5), 1.0));
} else {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (t_m <= 5.6e+59) tmp = asin(fma(Float64(Om / Omc), Float64(Float64(Om / Omc) * -0.5), 1.0)); else tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); end return tmp end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[t$95$m, 5.6e+59], N[ArcSin[N[(N[(Om / Omc), $MachinePrecision] * N[(N[(Om / Omc), $MachinePrecision] * -0.5), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;t\_m \leq 5.6 \cdot 10^{+59}:\\
\;\;\;\;\sin^{-1} \left(\mathsf{fma}\left(\frac{Om}{Omc}, \frac{Om}{Omc} \cdot -0.5, 1\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\end{array}
\end{array}
if t < 5.5999999999999996e59Initial program 87.5%
Taylor expanded in t around 0
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.8%
Simplified54.8%
Taylor expanded in Om around 0
+-commutativeN/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.7%
Simplified54.7%
times-fracN/A
associate-*l*N/A
accelerator-lowering-fma.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f6460.2%
Applied egg-rr60.2%
if 5.5999999999999996e59 < t Initial program 75.6%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6452.2%
Simplified52.2%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6461.7%
Simplified61.7%
t_m = (fabs.f64 t) l_m = (fabs.f64 l) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= t_m 3.6e+65) (asin 1.0) (asin (/ (* l_m (sqrt 0.5)) t_m))))
t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (t_m <= 3.6e+65) {
tmp = asin(1.0);
} else {
tmp = asin(((l_m * sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = abs(t)
l_m = abs(l)
real(8) function code(t_m, l_m, om, omc)
real(8), intent (in) :: t_m
real(8), intent (in) :: l_m
real(8), intent (in) :: om
real(8), intent (in) :: omc
real(8) :: tmp
if (t_m <= 3.6d+65) then
tmp = asin(1.0d0)
else
tmp = asin(((l_m * sqrt(0.5d0)) / t_m))
end if
code = tmp
end function
t_m = Math.abs(t);
l_m = Math.abs(l);
public static double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (t_m <= 3.6e+65) {
tmp = Math.asin(1.0);
} else {
tmp = Math.asin(((l_m * Math.sqrt(0.5)) / t_m));
}
return tmp;
}
t_m = math.fabs(t) l_m = math.fabs(l) def code(t_m, l_m, Om, Omc): tmp = 0 if t_m <= 3.6e+65: tmp = math.asin(1.0) else: tmp = math.asin(((l_m * math.sqrt(0.5)) / t_m)) return tmp
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (t_m <= 3.6e+65) tmp = asin(1.0); else tmp = asin(Float64(Float64(l_m * sqrt(0.5)) / t_m)); end return tmp end
t_m = abs(t); l_m = abs(l); function tmp_2 = code(t_m, l_m, Om, Omc) tmp = 0.0; if (t_m <= 3.6e+65) tmp = asin(1.0); else tmp = asin(((l_m * sqrt(0.5)) / t_m)); end tmp_2 = tmp; end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[t$95$m, 3.6e+65], N[ArcSin[1.0], $MachinePrecision], N[ArcSin[N[(N[(l$95$m * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\begin{array}{l}
\mathbf{if}\;t\_m \leq 3.6 \cdot 10^{+65}:\\
\;\;\;\;\sin^{-1} 1\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{l\_m \cdot \sqrt{0.5}}{t\_m}\right)\\
\end{array}
\end{array}
if t < 3.59999999999999978e65Initial program 87.5%
Taylor expanded in t around 0
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6454.8%
Simplified54.8%
Taylor expanded in Om around 0
Simplified59.2%
if 3.59999999999999978e65 < t Initial program 75.6%
Taylor expanded in Om around 0
/-lowering-/.f64N/A
+-commutativeN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6452.2%
Simplified52.2%
Taylor expanded in t around inf
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6461.7%
Simplified61.7%
t_m = (fabs.f64 t) l_m = (fabs.f64 l) (FPCore (t_m l_m Om Omc) :precision binary64 (asin 1.0))
t_m = fabs(t);
l_m = fabs(l);
double code(double t_m, double l_m, double Om, double Omc) {
return asin(1.0);
}
t_m = abs(t)
l_m = abs(l)
real(8) function code(t_m, l_m, om, omc)
real(8), intent (in) :: t_m
real(8), intent (in) :: l_m
real(8), intent (in) :: om
real(8), intent (in) :: omc
code = asin(1.0d0)
end function
t_m = Math.abs(t);
l_m = Math.abs(l);
public static double code(double t_m, double l_m, double Om, double Omc) {
return Math.asin(1.0);
}
t_m = math.fabs(t) l_m = math.fabs(l) def code(t_m, l_m, Om, Omc): return math.asin(1.0)
t_m = abs(t) l_m = abs(l) function code(t_m, l_m, Om, Omc) return asin(1.0) end
t_m = abs(t); l_m = abs(l); function tmp = code(t_m, l_m, Om, Omc) tmp = asin(1.0); end
t_m = N[Abs[t], $MachinePrecision] l_m = N[Abs[l], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := N[ArcSin[1.0], $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
l_m = \left|\ell\right|
\\
\sin^{-1} 1
\end{array}
Initial program 85.3%
Taylor expanded in t around 0
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6447.6%
Simplified47.6%
Taylor expanded in Om around 0
Simplified51.6%
herbie shell --seed 2024193
(FPCore (t l Om Omc)
:name "Toniolo and Linder, Equation (2)"
:precision binary64
(asin (sqrt (/ (- 1.0 (pow (/ Om Omc) 2.0)) (+ 1.0 (* 2.0 (pow (/ t l) 2.0)))))))