| Alternative 1 | |
|---|---|
| Error | 1.69% |
| Cost | 26624 |
\[\sin^{-1} \left(\frac{\sqrt{1 - \frac{\frac{Om}{Omc}}{\frac{Omc}{Om}}}}{\mathsf{hypot}\left(1, \frac{t}{\frac{\ell}{\sqrt{2}}}\right)}\right)
\]
(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)))))))
(FPCore (t l Om Omc)
:precision binary64
(let* ((t_1 (- 1.0 (pow (/ Om Omc) 2.0))))
(if (<= (/ t l) -2e+14)
(asin (* (sqrt t_1) (/ (* l (- (sqrt 0.5))) t)))
(if (<= (/ t l) 5e+153)
(asin (sqrt (/ t_1 (+ 1.0 (* 2.0 (/ (/ t l) (/ l t)))))))
(asin (* l (/ (sqrt 0.5) t)))))))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))))));
}
double code(double t, double l, double Om, double Omc) {
double t_1 = 1.0 - pow((Om / Omc), 2.0);
double tmp;
if ((t / l) <= -2e+14) {
tmp = asin((sqrt(t_1) * ((l * -sqrt(0.5)) / t)));
} else if ((t / l) <= 5e+153) {
tmp = asin(sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t)))))));
} else {
tmp = asin((l * (sqrt(0.5) / t)));
}
return tmp;
}
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
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
real(8) :: t_1
real(8) :: tmp
t_1 = 1.0d0 - ((om / omc) ** 2.0d0)
if ((t / l) <= (-2d+14)) then
tmp = asin((sqrt(t_1) * ((l * -sqrt(0.5d0)) / t)))
else if ((t / l) <= 5d+153) then
tmp = asin(sqrt((t_1 / (1.0d0 + (2.0d0 * ((t / l) / (l / t)))))))
else
tmp = asin((l * (sqrt(0.5d0) / t)))
end if
code = tmp
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))))));
}
public static double code(double t, double l, double Om, double Omc) {
double t_1 = 1.0 - Math.pow((Om / Omc), 2.0);
double tmp;
if ((t / l) <= -2e+14) {
tmp = Math.asin((Math.sqrt(t_1) * ((l * -Math.sqrt(0.5)) / t)));
} else if ((t / l) <= 5e+153) {
tmp = Math.asin(Math.sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t)))))));
} else {
tmp = Math.asin((l * (Math.sqrt(0.5) / t)));
}
return tmp;
}
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))))))
def code(t, l, Om, Omc): t_1 = 1.0 - math.pow((Om / Omc), 2.0) tmp = 0 if (t / l) <= -2e+14: tmp = math.asin((math.sqrt(t_1) * ((l * -math.sqrt(0.5)) / t))) elif (t / l) <= 5e+153: tmp = math.asin(math.sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t))))))) else: tmp = math.asin((l * (math.sqrt(0.5) / t))) return tmp
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 code(t, l, Om, Omc) t_1 = Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) tmp = 0.0 if (Float64(t / l) <= -2e+14) tmp = asin(Float64(sqrt(t_1) * Float64(Float64(l * Float64(-sqrt(0.5))) / t))); elseif (Float64(t / l) <= 5e+153) tmp = asin(sqrt(Float64(t_1 / Float64(1.0 + Float64(2.0 * Float64(Float64(t / l) / Float64(l / t))))))); else tmp = asin(Float64(l * Float64(sqrt(0.5) / t))); end return tmp 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
function tmp_2 = code(t, l, Om, Omc) t_1 = 1.0 - ((Om / Omc) ^ 2.0); tmp = 0.0; if ((t / l) <= -2e+14) tmp = asin((sqrt(t_1) * ((l * -sqrt(0.5)) / t))); elseif ((t / l) <= 5e+153) tmp = asin(sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t))))))); else tmp = asin((l * (sqrt(0.5) / t))); end tmp_2 = tmp; 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]
code[t_, l_, Om_, Omc_] := Block[{t$95$1 = N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t / l), $MachinePrecision], -2e+14], N[ArcSin[N[(N[Sqrt[t$95$1], $MachinePrecision] * N[(N[(l * (-N[Sqrt[0.5], $MachinePrecision])), $MachinePrecision] / t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], If[LessEqual[N[(t / l), $MachinePrecision], 5e+153], N[ArcSin[N[Sqrt[N[(t$95$1 / N[(1.0 + N[(2.0 * N[(N[(t / l), $MachinePrecision] / N[(l / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(l * N[(N[Sqrt[0.5], $MachinePrecision] / t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{1 + 2 \cdot {\left(\frac{t}{\ell}\right)}^{2}}}\right)
\begin{array}{l}
t_1 := 1 - {\left(\frac{Om}{Omc}\right)}^{2}\\
\mathbf{if}\;\frac{t}{\ell} \leq -2 \cdot 10^{+14}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{t_1} \cdot \frac{\ell \cdot \left(-\sqrt{0.5}\right)}{t}\right)\\
\mathbf{elif}\;\frac{t}{\ell} \leq 5 \cdot 10^{+153}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{t_1}{1 + 2 \cdot \frac{\frac{t}{\ell}}{\frac{\ell}{t}}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\ell \cdot \frac{\sqrt{0.5}}{t}\right)\\
\end{array}
Results
if (/.f64 t l) < -2e14Initial program 32.9
Taylor expanded in t around -inf 12.23
Simplified0.5
[Start]12.23 | \[ \sin^{-1} \left(-1 \cdot \left(\frac{\sqrt{0.5} \cdot \ell}{t} \cdot \sqrt{1 - \frac{{Om}^{2}}{{Omc}^{2}}}\right)\right)
\] |
|---|---|
mul-1-neg [=>]12.23 | \[ \sin^{-1} \color{blue}{\left(-\frac{\sqrt{0.5} \cdot \ell}{t} \cdot \sqrt{1 - \frac{{Om}^{2}}{{Omc}^{2}}}\right)}
\] |
*-commutative [=>]12.23 | \[ \sin^{-1} \left(-\color{blue}{\sqrt{1 - \frac{{Om}^{2}}{{Omc}^{2}}} \cdot \frac{\sqrt{0.5} \cdot \ell}{t}}\right)
\] |
unpow2 [=>]12.23 | \[ \sin^{-1} \left(-\sqrt{1 - \frac{\color{blue}{Om \cdot Om}}{{Omc}^{2}}} \cdot \frac{\sqrt{0.5} \cdot \ell}{t}\right)
\] |
unpow2 [=>]12.23 | \[ \sin^{-1} \left(-\sqrt{1 - \frac{Om \cdot Om}{\color{blue}{Omc \cdot Omc}}} \cdot \frac{\sqrt{0.5} \cdot \ell}{t}\right)
\] |
times-frac [=>]0.5 | \[ \sin^{-1} \left(-\sqrt{1 - \color{blue}{\frac{Om}{Omc} \cdot \frac{Om}{Omc}}} \cdot \frac{\sqrt{0.5} \cdot \ell}{t}\right)
\] |
unpow2 [<=]0.5 | \[ \sin^{-1} \left(-\sqrt{1 - \color{blue}{{\left(\frac{Om}{Omc}\right)}^{2}}} \cdot \frac{\sqrt{0.5} \cdot \ell}{t}\right)
\] |
*-commutative [=>]0.5 | \[ \sin^{-1} \left(-\sqrt{1 - {\left(\frac{Om}{Omc}\right)}^{2}} \cdot \frac{\color{blue}{\ell \cdot \sqrt{0.5}}}{t}\right)
\] |
if -2e14 < (/.f64 t l) < 5.00000000000000018e153Initial program 1.58
Applied egg-rr1.56
if 5.00000000000000018e153 < (/.f64 t l) Initial program 53.96
Applied egg-rr53.96
Taylor expanded in Om around 0 54.04
Simplified54.04
[Start]54.04 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{{t}^{2}}{{\ell}^{2}}}}\right)
\] |
|---|---|
associate-*r/ [=>]54.04 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + \color{blue}{\frac{2 \cdot {t}^{2}}{{\ell}^{2}}}}}\right)
\] |
unpow2 [=>]54.04 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + \frac{2 \cdot \color{blue}{\left(t \cdot t\right)}}{{\ell}^{2}}}}\right)
\] |
unpow2 [=>]54.04 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + \frac{2 \cdot \left(t \cdot t\right)}{\color{blue}{\ell \cdot \ell}}}}\right)
\] |
Taylor expanded in t around inf 0.81
Simplified0.77
[Start]0.81 | \[ \sin^{-1} \left(\frac{\sqrt{0.5} \cdot \ell}{t}\right)
\] |
|---|---|
associate-/l* [=>]2.06 | \[ \sin^{-1} \color{blue}{\left(\frac{\sqrt{0.5}}{\frac{t}{\ell}}\right)}
\] |
associate-/r/ [=>]0.77 | \[ \sin^{-1} \color{blue}{\left(\frac{\sqrt{0.5}}{t} \cdot \ell\right)}
\] |
Final simplification1.2
| Alternative 1 | |
|---|---|
| Error | 1.69% |
| Cost | 26624 |
| Alternative 2 | |
|---|---|
| Error | 1.97% |
| Cost | 20872 |
| Alternative 3 | |
|---|---|
| Error | 1.22% |
| Cost | 20872 |
| Alternative 4 | |
|---|---|
| Error | 1.89% |
| Cost | 14664 |
| Alternative 5 | |
|---|---|
| Error | 2.64% |
| Cost | 13896 |
| Alternative 6 | |
|---|---|
| Error | 20.2% |
| Cost | 13640 |
| Alternative 7 | |
|---|---|
| Error | 2.95% |
| Cost | 13640 |
| Alternative 8 | |
|---|---|
| Error | 2.94% |
| Cost | 13640 |
| Alternative 9 | |
|---|---|
| Error | 37.78% |
| Cost | 13385 |
| Alternative 10 | |
|---|---|
| Error | 49.07% |
| Cost | 7104 |
| Alternative 11 | |
|---|---|
| Error | 49.42% |
| Cost | 6464 |
herbie shell --seed 2023088
(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)))))))