| Alternative 1 | |
|---|---|
| Error | 1.0 |
| Cost | 32832 |
\[\sin^{-1} \left(\frac{\sqrt{1 - {\left(\frac{Om}{Omc}\right)}^{2}}}{\mathsf{hypot}\left(1, \frac{t}{\ell} \cdot \sqrt{2}\right)}\right)
\]
(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
(if (<= (/ t l) -2e+142)
(asin (/ (* (- l) (sqrt 0.5)) t))
(if (<= (/ t l) 6e+131)
(asin
(sqrt
(/
(- 1.0 (/ (/ Om Omc) (/ Omc Om)))
(+ 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 tmp;
if ((t / l) <= -2e+142) {
tmp = asin(((-l * sqrt(0.5)) / t));
} else if ((t / l) <= 6e+131) {
tmp = asin(sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (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) :: tmp
if ((t / l) <= (-2d+142)) then
tmp = asin(((-l * sqrt(0.5d0)) / t))
else if ((t / l) <= 6d+131) then
tmp = asin(sqrt(((1.0d0 - ((om / omc) / (omc / om))) / (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 tmp;
if ((t / l) <= -2e+142) {
tmp = Math.asin(((-l * Math.sqrt(0.5)) / t));
} else if ((t / l) <= 6e+131) {
tmp = Math.asin(Math.sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (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): tmp = 0 if (t / l) <= -2e+142: tmp = math.asin(((-l * math.sqrt(0.5)) / t)) elif (t / l) <= 6e+131: tmp = math.asin(math.sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (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) tmp = 0.0 if (Float64(t / l) <= -2e+142) tmp = asin(Float64(Float64(Float64(-l) * sqrt(0.5)) / t)); elseif (Float64(t / l) <= 6e+131) tmp = asin(sqrt(Float64(Float64(1.0 - Float64(Float64(Om / Omc) / Float64(Omc / Om))) / Float64(1.0 + Float64(2.0 * Float64(Float64(t / l) / Float64(l / t))))))); else tmp = asin(Float64(Float64(l * 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) tmp = 0.0; if ((t / l) <= -2e+142) tmp = asin(((-l * sqrt(0.5)) / t)); elseif ((t / l) <= 6e+131) tmp = asin(sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (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_] := If[LessEqual[N[(t / l), $MachinePrecision], -2e+142], N[ArcSin[N[(N[((-l) * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision]], $MachinePrecision], If[LessEqual[N[(t / l), $MachinePrecision], 6e+131], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[(N[(Om / Omc), $MachinePrecision] / N[(Omc / Om), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(2.0 * N[(N[(t / l), $MachinePrecision] / N[(l / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(l * N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision] / t), $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}
\mathbf{if}\;\frac{t}{\ell} \leq -2 \cdot 10^{+142}:\\
\;\;\;\;\sin^{-1} \left(\frac{\left(-\ell\right) \cdot \sqrt{0.5}}{t}\right)\\
\mathbf{elif}\;\frac{t}{\ell} \leq 6 \cdot 10^{+131}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - \frac{\frac{Om}{Omc}}{\frac{Omc}{Om}}}{1 + 2 \cdot \frac{\frac{t}{\ell}}{\frac{\ell}{t}}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\ell \cdot \sqrt{0.5}}{t}\right)\\
\end{array}
Results
if (/.f64 t l) < -2.0000000000000001e142Initial program 32.8
Applied egg-rr34.9
Taylor expanded in Om around 0 34.9
Simplified33.9
[Start]34.9 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{{t}^{2}}{{\ell}^{2}}}}\right)
\] |
|---|---|
unpow2 [=>]34.9 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{\color{blue}{t \cdot t}}{{\ell}^{2}}}}\right)
\] |
unpow2 [=>]34.9 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{t \cdot t}{\color{blue}{\ell \cdot \ell}}}}\right)
\] |
associate-*r/ [<=]33.9 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \color{blue}{\left(t \cdot \frac{t}{\ell \cdot \ell}\right)}}}\right)
\] |
Taylor expanded in t around -inf 0.7
Simplified0.7
[Start]0.7 | \[ \sin^{-1} \left(-1 \cdot \frac{\sqrt{0.5} \cdot \ell}{t}\right)
\] |
|---|---|
associate-*r/ [=>]0.7 | \[ \sin^{-1} \color{blue}{\left(\frac{-1 \cdot \left(\sqrt{0.5} \cdot \ell\right)}{t}\right)}
\] |
*-commutative [=>]0.7 | \[ \sin^{-1} \left(\frac{-1 \cdot \color{blue}{\left(\ell \cdot \sqrt{0.5}\right)}}{t}\right)
\] |
associate-*r* [=>]0.7 | \[ \sin^{-1} \left(\frac{\color{blue}{\left(-1 \cdot \ell\right) \cdot \sqrt{0.5}}}{t}\right)
\] |
neg-mul-1 [<=]0.7 | \[ \sin^{-1} \left(\frac{\color{blue}{\left(-\ell\right)} \cdot \sqrt{0.5}}{t}\right)
\] |
if -2.0000000000000001e142 < (/.f64 t l) < 6.0000000000000003e131Initial program 0.8
Applied egg-rr0.8
Applied egg-rr0.8
if 6.0000000000000003e131 < (/.f64 t l) Initial program 32.3
Applied egg-rr36.2
Taylor expanded in Om around 0 36.3
Simplified34.8
[Start]36.3 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{{t}^{2}}{{\ell}^{2}}}}\right)
\] |
|---|---|
unpow2 [=>]36.3 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{\color{blue}{t \cdot t}}{{\ell}^{2}}}}\right)
\] |
unpow2 [=>]36.3 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{t \cdot t}{\color{blue}{\ell \cdot \ell}}}}\right)
\] |
associate-*r/ [<=]34.8 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \color{blue}{\left(t \cdot \frac{t}{\ell \cdot \ell}\right)}}}\right)
\] |
Taylor expanded in t around inf 0.8
Final simplification0.8
| Alternative 1 | |
|---|---|
| Error | 1.0 |
| Cost | 32832 |
| Alternative 2 | |
|---|---|
| Error | 1.6 |
| Cost | 19712 |
| Alternative 3 | |
|---|---|
| Error | 1.7 |
| Cost | 14152 |
| Alternative 4 | |
|---|---|
| Error | 1.3 |
| Cost | 14152 |
| Alternative 5 | |
|---|---|
| Error | 2.2 |
| Cost | 13896 |
| Alternative 6 | |
|---|---|
| Error | 2.7 |
| Cost | 13704 |
| Alternative 7 | |
|---|---|
| Error | 2.6 |
| Cost | 13704 |
| Alternative 8 | |
|---|---|
| Error | 12.9 |
| Cost | 13641 |
| Alternative 9 | |
|---|---|
| Error | 13.0 |
| Cost | 13640 |
| Alternative 10 | |
|---|---|
| Error | 2.7 |
| Cost | 13640 |
| Alternative 11 | |
|---|---|
| Error | 31.4 |
| Cost | 6464 |
herbie shell --seed 2023027
(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)))))))