
(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}
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(let* ((t_1 (fma (pow (/ t_m l_m) 2.0) 2.0 1.0)) (t_2 (pow t_1 -2.0)))
(if (<= (/ t_m l_m) 2e+76)
(asin
(/
(sqrt (- t_2 (* (pow (/ Om Omc) 4.0) t_2)))
(sqrt (* (pow t_1 -1.0) (+ (pow (/ Om Omc) 2.0) 1.0)))))
(asin
(*
(sqrt (- 1.0 (* (/ Om Omc) (/ Om Omc))))
(* (/ (sqrt 0.5) t_m) l_m))))))l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double t_1 = fma(pow((t_m / l_m), 2.0), 2.0, 1.0);
double t_2 = pow(t_1, -2.0);
double tmp;
if ((t_m / l_m) <= 2e+76) {
tmp = asin((sqrt((t_2 - (pow((Om / Omc), 4.0) * t_2))) / sqrt((pow(t_1, -1.0) * (pow((Om / Omc), 2.0) + 1.0)))));
} else {
tmp = asin((sqrt((1.0 - ((Om / Omc) * (Om / Omc)))) * ((sqrt(0.5) / t_m) * l_m)));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) t_1 = fma((Float64(t_m / l_m) ^ 2.0), 2.0, 1.0) t_2 = t_1 ^ -2.0 tmp = 0.0 if (Float64(t_m / l_m) <= 2e+76) tmp = asin(Float64(sqrt(Float64(t_2 - Float64((Float64(Om / Omc) ^ 4.0) * t_2))) / sqrt(Float64((t_1 ^ -1.0) * Float64((Float64(Om / Omc) ^ 2.0) + 1.0))))); else tmp = asin(Float64(sqrt(Float64(1.0 - Float64(Float64(Om / Omc) * Float64(Om / Omc)))) * Float64(Float64(sqrt(0.5) / t_m) * l_m))); end return tmp end
l_m = N[Abs[l], $MachinePrecision]
t_m = N[Abs[t], $MachinePrecision]
code[t$95$m_, l$95$m_, Om_, Omc_] := Block[{t$95$1 = N[(N[Power[N[(t$95$m / l$95$m), $MachinePrecision], 2.0], $MachinePrecision] * 2.0 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[t$95$1, -2.0], $MachinePrecision]}, If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 2e+76], N[ArcSin[N[(N[Sqrt[N[(t$95$2 - N[(N[Power[N[(Om / Omc), $MachinePrecision], 4.0], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[N[(N[Power[t$95$1, -1.0], $MachinePrecision] * N[(N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[Sqrt[N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision] * l$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
t_1 := \mathsf{fma}\left({\left(\frac{t\_m}{l\_m}\right)}^{2}, 2, 1\right)\\
t_2 := {t\_1}^{-2}\\
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 2 \cdot 10^{+76}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{t\_2 - {\left(\frac{Om}{Omc}\right)}^{4} \cdot t\_2}}{\sqrt{{t\_1}^{-1} \cdot \left({\left(\frac{Om}{Omc}\right)}^{2} + 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{1 - \frac{Om}{Omc} \cdot \frac{Om}{Omc}} \cdot \left(\frac{\sqrt{0.5}}{t\_m} \cdot l\_m\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 2.0000000000000001e76Initial program 94.5%
lift-sqrt.f64N/A
lift-/.f64N/A
lift--.f64N/A
div-subN/A
flip--N/A
sqrt-divN/A
lower-/.f64N/A
Applied rewrites82.7%
if 2.0000000000000001e76 < (/.f64 t l) Initial program 69.8%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
pow2N/A
lower-/.f64N/A
pow2N/A
lower-*.f64N/A
lower-*.f6461.1
Applied rewrites61.1%
unpow1N/A
metadata-evalN/A
sqrt-pow2N/A
lift-pow.f64N/A
unpow2N/A
sqrt-unprodN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
unpow-prod-downN/A
pow-prod-upN/A
lower-pow.f64N/A
metadata-eval61.1
Applied rewrites61.1%
Taylor expanded in t around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
distribute-neg-frac2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
Applied rewrites99.7%
Final simplification85.9%
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 1e+43)
(asin
(sqrt
(/
(- 1.0 (pow (/ Om Omc) 2.0))
(+ (* (/ t_m (* (/ l_m t_m) l_m)) 2.0) 1.0))))
(asin
(* (sqrt (- 1.0 (* (/ Om Omc) (/ Om Omc)))) (* (/ (sqrt 0.5) t_m) l_m)))))l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+43) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / (((t_m / ((l_m / t_m) * l_m)) * 2.0) + 1.0))));
} else {
tmp = asin((sqrt((1.0 - ((Om / Omc) * (Om / Omc)))) * ((sqrt(0.5) / t_m) * l_m)));
}
return tmp;
}
l_m = abs(l)
t_m = abs(t)
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) <= 1d+43) then
tmp = asin(sqrt(((1.0d0 - ((om / omc) ** 2.0d0)) / (((t_m / ((l_m / t_m) * l_m)) * 2.0d0) + 1.0d0))))
else
tmp = asin((sqrt((1.0d0 - ((om / omc) * (om / omc)))) * ((sqrt(0.5d0) / t_m) * l_m)))
end if
code = tmp
end function
l_m = Math.abs(l);
t_m = Math.abs(t);
public static double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+43) {
tmp = Math.asin(Math.sqrt(((1.0 - Math.pow((Om / Omc), 2.0)) / (((t_m / ((l_m / t_m) * l_m)) * 2.0) + 1.0))));
} else {
tmp = Math.asin((Math.sqrt((1.0 - ((Om / Omc) * (Om / Omc)))) * ((Math.sqrt(0.5) / t_m) * l_m)));
}
return tmp;
}
l_m = math.fabs(l) t_m = math.fabs(t) def code(t_m, l_m, Om, Omc): tmp = 0 if (t_m / l_m) <= 1e+43: tmp = math.asin(math.sqrt(((1.0 - math.pow((Om / Omc), 2.0)) / (((t_m / ((l_m / t_m) * l_m)) * 2.0) + 1.0)))) else: tmp = math.asin((math.sqrt((1.0 - ((Om / Omc) * (Om / Omc)))) * ((math.sqrt(0.5) / t_m) * l_m))) return tmp
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+43) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / Float64(Float64(Float64(t_m / Float64(Float64(l_m / t_m) * l_m)) * 2.0) + 1.0)))); else tmp = asin(Float64(sqrt(Float64(1.0 - Float64(Float64(Om / Omc) * Float64(Om / Omc)))) * Float64(Float64(sqrt(0.5) / t_m) * l_m))); end return tmp end
l_m = abs(l); t_m = abs(t); function tmp_2 = code(t_m, l_m, Om, Omc) tmp = 0.0; if ((t_m / l_m) <= 1e+43) tmp = asin(sqrt(((1.0 - ((Om / Omc) ^ 2.0)) / (((t_m / ((l_m / t_m) * l_m)) * 2.0) + 1.0)))); else tmp = asin((sqrt((1.0 - ((Om / Omc) * (Om / Omc)))) * ((sqrt(0.5) / t_m) * l_m))); end tmp_2 = tmp; end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+43], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(t$95$m / N[(N[(l$95$m / t$95$m), $MachinePrecision] * l$95$m), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[Sqrt[N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision] * l$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+43}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{\frac{t\_m}{\frac{l\_m}{t\_m} \cdot l\_m} \cdot 2 + 1}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{1 - \frac{Om}{Omc} \cdot \frac{Om}{Omc}} \cdot \left(\frac{\sqrt{0.5}}{t\_m} \cdot l\_m\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1.00000000000000001e43Initial program 94.3%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
clear-numN/A
un-div-invN/A
lift-/.f64N/A
associate-/r*N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6493.0
Applied rewrites93.0%
if 1.00000000000000001e43 < (/.f64 t l) Initial program 73.0%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
pow2N/A
lower-/.f64N/A
pow2N/A
lower-*.f64N/A
lower-*.f6465.4
Applied rewrites65.4%
unpow1N/A
metadata-evalN/A
sqrt-pow2N/A
lift-pow.f64N/A
unpow2N/A
sqrt-unprodN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
unpow-prod-downN/A
pow-prod-upN/A
lower-pow.f64N/A
metadata-eval65.4
Applied rewrites65.4%
Taylor expanded in t around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
distribute-neg-frac2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
Applied rewrites99.6%
Final simplification94.4%
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 2000000000.0)
(asin
(sqrt
(/
(- 1.0 (pow (/ Om Omc) 2.0))
(fma (/ t_m l_m) (* 2.0 (/ t_m l_m)) 1.0))))
(asin
(* (sqrt (- 1.0 (* (/ Om Omc) (/ Om Omc)))) (* (/ (sqrt 0.5) t_m) l_m)))))l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 2000000000.0) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / fma((t_m / l_m), (2.0 * (t_m / l_m)), 1.0))));
} else {
tmp = asin((sqrt((1.0 - ((Om / Omc) * (Om / Omc)))) * ((sqrt(0.5) / t_m) * l_m)));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 2000000000.0) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / fma(Float64(t_m / l_m), Float64(2.0 * Float64(t_m / l_m)), 1.0)))); else tmp = asin(Float64(sqrt(Float64(1.0 - Float64(Float64(Om / Omc) * Float64(Om / Omc)))) * Float64(Float64(sqrt(0.5) / t_m) * l_m))); end return tmp end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 2000000000.0], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m / l$95$m), $MachinePrecision] * N[(2.0 * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[Sqrt[N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision] * l$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 2000000000:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{\mathsf{fma}\left(\frac{t\_m}{l\_m}, 2 \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{1 - \frac{Om}{Omc} \cdot \frac{Om}{Omc}} \cdot \left(\frac{\sqrt{0.5}}{t\_m} \cdot l\_m\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 2e9Initial program 94.1%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f6494.1
Applied rewrites94.1%
if 2e9 < (/.f64 t l) Initial program 77.5%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
pow2N/A
lower-/.f64N/A
pow2N/A
lower-*.f64N/A
lower-*.f6466.5
Applied rewrites66.5%
unpow1N/A
metadata-evalN/A
sqrt-pow2N/A
lift-pow.f64N/A
unpow2N/A
sqrt-unprodN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
unpow-prod-downN/A
pow-prod-upN/A
lower-pow.f64N/A
metadata-eval66.5
Applied rewrites66.5%
Taylor expanded in t around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
distribute-neg-frac2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
Applied rewrites99.6%
Final simplification95.5%
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 5e+67)
(asin (sqrt (/ 1.0 (fma t_m (* (/ 2.0 l_m) (/ t_m l_m)) 1.0))))
(asin
(* (sqrt (- 1.0 (* (/ Om Omc) (/ Om Omc)))) (* (/ (sqrt 0.5) t_m) l_m)))))l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 5e+67) {
tmp = asin(sqrt((1.0 / fma(t_m, ((2.0 / l_m) * (t_m / l_m)), 1.0))));
} else {
tmp = asin((sqrt((1.0 - ((Om / Omc) * (Om / Omc)))) * ((sqrt(0.5) / t_m) * l_m)));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 5e+67) tmp = asin(sqrt(Float64(1.0 / fma(t_m, Float64(Float64(2.0 / l_m) * Float64(t_m / l_m)), 1.0)))); else tmp = asin(Float64(sqrt(Float64(1.0 - Float64(Float64(Om / Omc) * Float64(Om / Omc)))) * Float64(Float64(sqrt(0.5) / t_m) * l_m))); end return tmp end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 5e+67], N[ArcSin[N[Sqrt[N[(1.0 / N[(t$95$m * N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[Sqrt[N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[0.5], $MachinePrecision] / t$95$m), $MachinePrecision] * l$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 5 \cdot 10^{+67}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(t\_m, \frac{2}{l\_m} \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{1 - \frac{Om}{Omc} \cdot \frac{Om}{Omc}} \cdot \left(\frac{\sqrt{0.5}}{t\_m} \cdot l\_m\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 4.99999999999999976e67Initial program 94.4%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6418.1
Applied rewrites18.1%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6480.7
Applied rewrites80.7%
Applied rewrites92.5%
if 4.99999999999999976e67 < (/.f64 t l) Initial program 71.0%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
pow2N/A
lower-/.f64N/A
pow2N/A
lower-*.f64N/A
lower-*.f6462.7
Applied rewrites62.7%
unpow1N/A
metadata-evalN/A
sqrt-pow2N/A
lift-pow.f64N/A
unpow2N/A
sqrt-unprodN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
unpow-prod-downN/A
pow-prod-upN/A
lower-pow.f64N/A
metadata-eval62.7
Applied rewrites62.7%
Taylor expanded in t around -inf
associate-*r*N/A
lower-*.f64N/A
mul-1-negN/A
lower-neg.f64N/A
*-commutativeN/A
unpow2N/A
rem-square-sqrtN/A
mul-1-negN/A
distribute-neg-frac2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
Applied rewrites99.7%
Final simplification93.9%
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 1e+32)
(asin (sqrt (/ 1.0 (fma t_m (* (/ 2.0 l_m) (/ t_m l_m)) 1.0))))
(asin
(* (/ (* (sqrt 0.5) l_m) t_m) (sqrt (- 1.0 (* (/ Om Omc) (/ Om Omc))))))))l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+32) {
tmp = asin(sqrt((1.0 / fma(t_m, ((2.0 / l_m) * (t_m / l_m)), 1.0))));
} else {
tmp = asin((((sqrt(0.5) * l_m) / t_m) * sqrt((1.0 - ((Om / Omc) * (Om / Omc))))));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+32) tmp = asin(sqrt(Float64(1.0 / fma(t_m, Float64(Float64(2.0 / l_m) * Float64(t_m / l_m)), 1.0)))); else tmp = asin(Float64(Float64(Float64(sqrt(0.5) * l_m) / t_m) * sqrt(Float64(1.0 - Float64(Float64(Om / Omc) * Float64(Om / Omc)))))); end return tmp end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+32], N[ArcSin[N[Sqrt[N[(1.0 / N[(t$95$m * N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(N[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$m), $MachinePrecision] * N[Sqrt[N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+32}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(t\_m, \frac{2}{l\_m} \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{0.5} \cdot l\_m}{t\_m} \cdot \sqrt{1 - \frac{Om}{Omc} \cdot \frac{Om}{Omc}}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1.00000000000000005e32Initial program 94.2%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6415.9
Applied rewrites15.9%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6481.2
Applied rewrites81.2%
Applied rewrites92.2%
if 1.00000000000000005e32 < (/.f64 t l) Initial program 75.3%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
associate-*r*N/A
unpow1N/A
sqr-powN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
unpow1/2N/A
lower-sqrt.f64N/A
metadata-evalN/A
unpow1/2N/A
lower-sqrt.f6475.3
Applied rewrites75.3%
Taylor expanded in t around inf
lower-*.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
lower--.f64N/A
unpow2N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f6499.5
Applied rewrites99.5%
Final simplification93.9%
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 1e+32)
(asin (sqrt (/ 1.0 (fma t_m (* (/ 2.0 l_m) (/ t_m l_m)) 1.0))))
(asin
(* (/ (* (sqrt 0.5) l_m) t_m) (fma -0.5 (* (/ Om Omc) (/ Om Omc)) 1.0)))))l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 1e+32) {
tmp = asin(sqrt((1.0 / fma(t_m, ((2.0 / l_m) * (t_m / l_m)), 1.0))));
} else {
tmp = asin((((sqrt(0.5) * l_m) / t_m) * fma(-0.5, ((Om / Omc) * (Om / Omc)), 1.0)));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 1e+32) tmp = asin(sqrt(Float64(1.0 / fma(t_m, Float64(Float64(2.0 / l_m) * Float64(t_m / l_m)), 1.0)))); else tmp = asin(Float64(Float64(Float64(sqrt(0.5) * l_m) / t_m) * fma(-0.5, Float64(Float64(Om / Omc) * Float64(Om / Omc)), 1.0))); end return tmp end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 1e+32], N[ArcSin[N[Sqrt[N[(1.0 / N[(t$95$m * N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(N[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$m), $MachinePrecision] * N[(-0.5 * N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 10^{+32}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(t\_m, \frac{2}{l\_m} \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{0.5} \cdot l\_m}{t\_m} \cdot \mathsf{fma}\left(-0.5, \frac{Om}{Omc} \cdot \frac{Om}{Omc}, 1\right)\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1.00000000000000005e32Initial program 94.2%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6415.9
Applied rewrites15.9%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6481.2
Applied rewrites81.2%
Applied rewrites92.2%
if 1.00000000000000005e32 < (/.f64 t l) Initial program 75.3%
Taylor expanded in Om around 0
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
lower-fma.f64N/A
unpow2N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
Applied rewrites59.2%
Taylor expanded in t around inf
Applied rewrites99.5%
Final simplification93.9%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= l_m 5e-43) (asin (sqrt (/ 1.0 (fma (/ 2.0 l_m) (/ t_m (/ l_m t_m)) 1.0)))) (asin (sqrt (/ 1.0 (fma t_m (* (/ 2.0 l_m) (/ t_m l_m)) 1.0))))))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (l_m <= 5e-43) {
tmp = asin(sqrt((1.0 / fma((2.0 / l_m), (t_m / (l_m / t_m)), 1.0))));
} else {
tmp = asin(sqrt((1.0 / fma(t_m, ((2.0 / l_m) * (t_m / l_m)), 1.0))));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (l_m <= 5e-43) tmp = asin(sqrt(Float64(1.0 / fma(Float64(2.0 / l_m), Float64(t_m / Float64(l_m / t_m)), 1.0)))); else tmp = asin(sqrt(Float64(1.0 / fma(t_m, Float64(Float64(2.0 / l_m) * Float64(t_m / l_m)), 1.0)))); end return tmp end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[l$95$m, 5e-43], N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(t$95$m / N[(l$95$m / t$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[Sqrt[N[(1.0 / N[(t$95$m * N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;l\_m \leq 5 \cdot 10^{-43}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{2}{l\_m}, \frac{t\_m}{\frac{l\_m}{t\_m}}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(t\_m, \frac{2}{l\_m} \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\end{array}
\end{array}
if l < 5.00000000000000019e-43Initial program 89.7%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6431.3
Applied rewrites31.3%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6478.0
Applied rewrites78.0%
Applied rewrites87.6%
if 5.00000000000000019e-43 < l Initial program 90.1%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f649.0
Applied rewrites9.0%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6476.9
Applied rewrites76.9%
Applied rewrites90.2%
Final simplification88.3%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= l_m 3.2e-269) (asin (sqrt (/ 1.0 (fma (/ 2.0 l_m) (* (/ t_m l_m) t_m) 1.0)))) (asin (sqrt (/ 1.0 (fma t_m (* (/ 2.0 l_m) (/ t_m l_m)) 1.0))))))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (l_m <= 3.2e-269) {
tmp = asin(sqrt((1.0 / fma((2.0 / l_m), ((t_m / l_m) * t_m), 1.0))));
} else {
tmp = asin(sqrt((1.0 / fma(t_m, ((2.0 / l_m) * (t_m / l_m)), 1.0))));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (l_m <= 3.2e-269) tmp = asin(sqrt(Float64(1.0 / fma(Float64(2.0 / l_m), Float64(Float64(t_m / l_m) * t_m), 1.0)))); else tmp = asin(sqrt(Float64(1.0 / fma(t_m, Float64(Float64(2.0 / l_m) * Float64(t_m / l_m)), 1.0)))); end return tmp end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[l$95$m, 3.2e-269], N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(N[(t$95$m / l$95$m), $MachinePrecision] * t$95$m), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[Sqrt[N[(1.0 / N[(t$95$m * N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;l\_m \leq 3.2 \cdot 10^{-269}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{2}{l\_m}, \frac{t\_m}{l\_m} \cdot t\_m, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(t\_m, \frac{2}{l\_m} \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\end{array}
\end{array}
if l < 3.2000000000000001e-269Initial program 90.7%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6424.5
Applied rewrites24.5%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6476.3
Applied rewrites76.3%
Applied rewrites87.9%
if 3.2000000000000001e-269 < l Initial program 88.7%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6425.6
Applied rewrites25.6%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6479.4
Applied rewrites79.4%
Applied rewrites88.8%
Final simplification88.3%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= l_m 1.05e-154) (asin (sqrt (/ 1.0 (* (/ (* t_m t_m) l_m) (/ 2.0 l_m))))) (asin (sqrt (/ 1.0 (fma (* (/ 2.0 (* l_m l_m)) t_m) t_m 1.0))))))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if (l_m <= 1.05e-154) {
tmp = asin(sqrt((1.0 / (((t_m * t_m) / l_m) * (2.0 / l_m)))));
} else {
tmp = asin(sqrt((1.0 / fma(((2.0 / (l_m * l_m)) * t_m), t_m, 1.0))));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (l_m <= 1.05e-154) tmp = asin(sqrt(Float64(1.0 / Float64(Float64(Float64(t_m * t_m) / l_m) * Float64(2.0 / l_m))))); else tmp = asin(sqrt(Float64(1.0 / fma(Float64(Float64(2.0 / Float64(l_m * l_m)) * t_m), t_m, 1.0)))); end return tmp end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[l$95$m, 1.05e-154], N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(N[(t$95$m * t$95$m), $MachinePrecision] / l$95$m), $MachinePrecision] * N[(2.0 / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(N[(2.0 / N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] * t$95$m), $MachinePrecision] * t$95$m + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;l\_m \leq 1.05 \cdot 10^{-154}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\frac{t\_m \cdot t\_m}{l\_m} \cdot \frac{2}{l\_m}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{2}{l\_m \cdot l\_m} \cdot t\_m, t\_m, 1\right)}}\right)\\
\end{array}
\end{array}
if l < 1.04999999999999992e-154Initial program 91.0%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6429.0
Applied rewrites29.0%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6477.2
Applied rewrites77.2%
Taylor expanded in t around inf
Applied rewrites34.0%
if 1.04999999999999992e-154 < l Initial program 88.1%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
associate-*l/N/A
metadata-evalN/A
associate-*r/N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
unpow2N/A
lower-*.f6484.5
Applied rewrites84.5%
Final simplification53.6%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= (/ t_m l_m) 200.0) (asin (sqrt (- 1.0 (* (/ Om Omc) (/ Om Omc))))) (asin (sqrt (* (/ (* l_m l_m) t_m) (/ 0.5 t_m))))))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 200.0) {
tmp = asin(sqrt((1.0 - ((Om / Omc) * (Om / Omc)))));
} else {
tmp = asin(sqrt((((l_m * l_m) / t_m) * (0.5 / t_m))));
}
return tmp;
}
l_m = abs(l)
t_m = abs(t)
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) <= 200.0d0) then
tmp = asin(sqrt((1.0d0 - ((om / omc) * (om / omc)))))
else
tmp = asin(sqrt((((l_m * l_m) / t_m) * (0.5d0 / t_m))))
end if
code = tmp
end function
l_m = Math.abs(l);
t_m = Math.abs(t);
public static double code(double t_m, double l_m, double Om, double Omc) {
double tmp;
if ((t_m / l_m) <= 200.0) {
tmp = Math.asin(Math.sqrt((1.0 - ((Om / Omc) * (Om / Omc)))));
} else {
tmp = Math.asin(Math.sqrt((((l_m * l_m) / t_m) * (0.5 / t_m))));
}
return tmp;
}
l_m = math.fabs(l) t_m = math.fabs(t) def code(t_m, l_m, Om, Omc): tmp = 0 if (t_m / l_m) <= 200.0: tmp = math.asin(math.sqrt((1.0 - ((Om / Omc) * (Om / Omc))))) else: tmp = math.asin(math.sqrt((((l_m * l_m) / t_m) * (0.5 / t_m)))) return tmp
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) tmp = 0.0 if (Float64(t_m / l_m) <= 200.0) tmp = asin(sqrt(Float64(1.0 - Float64(Float64(Om / Omc) * Float64(Om / Omc))))); else tmp = asin(sqrt(Float64(Float64(Float64(l_m * l_m) / t_m) * Float64(0.5 / t_m)))); end return tmp end
l_m = abs(l); t_m = abs(t); function tmp_2 = code(t_m, l_m, Om, Omc) tmp = 0.0; if ((t_m / l_m) <= 200.0) tmp = asin(sqrt((1.0 - ((Om / Omc) * (Om / Omc))))); else tmp = asin(sqrt((((l_m * l_m) / t_m) * (0.5 / t_m)))); end tmp_2 = tmp; end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 200.0], N[ArcSin[N[Sqrt[N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[Sqrt[N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] / t$95$m), $MachinePrecision] * N[(0.5 / t$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 200:\\
\;\;\;\;\sin^{-1} \left(\sqrt{1 - \frac{Om}{Omc} \cdot \frac{Om}{Omc}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{l\_m \cdot l\_m}{t\_m} \cdot \frac{0.5}{t\_m}}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 200Initial program 94.0%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
associate-*r*N/A
unpow1N/A
sqr-powN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
unpow1/2N/A
lower-sqrt.f64N/A
metadata-evalN/A
unpow1/2N/A
lower-sqrt.f6442.5
Applied rewrites42.5%
Taylor expanded in t around 0
lower--.f64N/A
unpow2N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f6473.5
Applied rewrites73.5%
if 200 < (/.f64 t l) Initial program 77.8%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6455.6
Applied rewrites55.6%
Taylor expanded in Om around 0
Applied rewrites58.9%
Final simplification69.8%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (asin (sqrt (/ 1.0 (fma t_m (* (/ 2.0 l_m) (/ t_m l_m)) 1.0)))))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
return asin(sqrt((1.0 / fma(t_m, ((2.0 / l_m) * (t_m / l_m)), 1.0))));
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) return asin(sqrt(Float64(1.0 / fma(t_m, Float64(Float64(2.0 / l_m) * Float64(t_m / l_m)), 1.0)))) end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := N[ArcSin[N[Sqrt[N[(1.0 / N[(t$95$m * N[(N[(2.0 / l$95$m), $MachinePrecision] * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(t\_m, \frac{2}{l\_m} \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)
\end{array}
Initial program 89.8%
Taylor expanded in t around inf
associate-/l*N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
sub-negN/A
+-commutativeN/A
unpow2N/A
associate-/l*N/A
distribute-lft-neg-inN/A
mul-1-negN/A
lower-fma.f64N/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6425.0
Applied rewrites25.0%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
unpow2N/A
times-fracN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6477.7
Applied rewrites77.7%
Applied rewrites87.2%
Final simplification87.2%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (asin (sqrt (/ 1.0 (fma (* (/ 2.0 (* l_m l_m)) t_m) t_m 1.0)))))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
return asin(sqrt((1.0 / fma(((2.0 / (l_m * l_m)) * t_m), t_m, 1.0))));
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) return asin(sqrt(Float64(1.0 / fma(Float64(Float64(2.0 / Float64(l_m * l_m)) * t_m), t_m, 1.0)))) end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := N[ArcSin[N[Sqrt[N[(1.0 / N[(N[(N[(2.0 / N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] * t$95$m), $MachinePrecision] * t$95$m + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{2}{l\_m \cdot l\_m} \cdot t\_m, t\_m, 1\right)}}\right)
\end{array}
Initial program 89.8%
Taylor expanded in Om around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r/N/A
associate-*l/N/A
metadata-evalN/A
associate-*r/N/A
unpow2N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
unpow2N/A
lower-*.f6480.2
Applied rewrites80.2%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (asin (sqrt (- 1.0 (* (/ Om Omc) (/ Om Omc))))))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
return asin(sqrt((1.0 - ((Om / Omc) * (Om / Omc)))));
}
l_m = abs(l)
t_m = abs(t)
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(sqrt((1.0d0 - ((om / omc) * (om / omc)))))
end function
l_m = Math.abs(l);
t_m = Math.abs(t);
public static double code(double t_m, double l_m, double Om, double Omc) {
return Math.asin(Math.sqrt((1.0 - ((Om / Omc) * (Om / Omc)))));
}
l_m = math.fabs(l) t_m = math.fabs(t) def code(t_m, l_m, Om, Omc): return math.asin(math.sqrt((1.0 - ((Om / Omc) * (Om / Omc)))))
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) return asin(sqrt(Float64(1.0 - Float64(Float64(Om / Omc) * Float64(Om / Omc))))) end
l_m = abs(l); t_m = abs(t); function tmp = code(t_m, l_m, Om, Omc) tmp = asin(sqrt((1.0 - ((Om / Omc) * (Om / Omc))))); end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := N[ArcSin[N[Sqrt[N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\sin^{-1} \left(\sqrt{1 - \frac{Om}{Omc} \cdot \frac{Om}{Omc}}\right)
\end{array}
Initial program 89.8%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-pow.f64N/A
unpow2N/A
associate-*r*N/A
unpow1N/A
sqr-powN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
metadata-evalN/A
unpow1/2N/A
lower-sqrt.f64N/A
metadata-evalN/A
unpow1/2N/A
lower-sqrt.f6451.6
Applied rewrites51.6%
Taylor expanded in t around 0
lower--.f64N/A
unpow2N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f6455.9
Applied rewrites55.9%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (asin (fma (/ -0.5 Omc) (* (/ Om Omc) Om) 1.0)))
l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
return asin(fma((-0.5 / Omc), ((Om / Omc) * Om), 1.0));
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) return asin(fma(Float64(-0.5 / Omc), Float64(Float64(Om / Omc) * Om), 1.0)) end
l_m = N[Abs[l], $MachinePrecision] t_m = N[Abs[t], $MachinePrecision] code[t$95$m_, l$95$m_, Om_, Omc_] := N[ArcSin[N[(N[(-0.5 / Omc), $MachinePrecision] * N[(N[(Om / Omc), $MachinePrecision] * Om), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\sin^{-1} \left(\mathsf{fma}\left(\frac{-0.5}{Omc}, \frac{Om}{Omc} \cdot Om, 1\right)\right)
\end{array}
Initial program 89.8%
Taylor expanded in Om around 0
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
lower-fma.f64N/A
unpow2N/A
unpow2N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
Applied rewrites80.4%
Taylor expanded in t around 0
Applied rewrites51.4%
Applied rewrites55.6%
herbie shell --seed 2024288
(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)))))))