| Alternative 1 | |
|---|---|
| Error | 98.4% |
| Cost | 32832.00 |
\[\sin^{-1} \left(\frac{\sqrt{1 - {\left(\frac{Om}{Omc}\right)}^{2}}}{\mathsf{hypot}\left(1, \frac{t \cdot \sqrt{2}}{\ell}\right)}\right)
\]
(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 (* t (sqrt 2.0))))
(if (<= (/ t l) -1e+156)
(asin (/ (- l) t_1))
(if (<= (/ t l) 5e+84)
(asin
(sqrt
(/
(- 1.0 (/ (/ Om Omc) (/ Omc Om)))
(+ 1.0 (* 2.0 (/ (/ t l) (/ l t)))))))
(asin (/ l t_1))))))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 = t * sqrt(2.0);
double tmp;
if ((t / l) <= -1e+156) {
tmp = asin((-l / t_1));
} else if ((t / l) <= 5e+84) {
tmp = asin(sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (1.0 + (2.0 * ((t / l) / (l / t)))))));
} else {
tmp = asin((l / t_1));
}
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 = t * sqrt(2.0d0)
if ((t / l) <= (-1d+156)) then
tmp = asin((-l / t_1))
else if ((t / l) <= 5d+84) then
tmp = asin(sqrt(((1.0d0 - ((om / omc) / (omc / om))) / (1.0d0 + (2.0d0 * ((t / l) / (l / t)))))))
else
tmp = asin((l / t_1))
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 = t * Math.sqrt(2.0);
double tmp;
if ((t / l) <= -1e+156) {
tmp = Math.asin((-l / t_1));
} else if ((t / l) <= 5e+84) {
tmp = Math.asin(Math.sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (1.0 + (2.0 * ((t / l) / (l / t)))))));
} else {
tmp = Math.asin((l / t_1));
}
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 = t * math.sqrt(2.0) tmp = 0 if (t / l) <= -1e+156: tmp = math.asin((-l / t_1)) elif (t / l) <= 5e+84: tmp = math.asin(math.sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (1.0 + (2.0 * ((t / l) / (l / t))))))) else: tmp = math.asin((l / t_1)) 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(t * sqrt(2.0)) tmp = 0.0 if (Float64(t / l) <= -1e+156) tmp = asin(Float64(Float64(-l) / t_1)); elseif (Float64(t / l) <= 5e+84) 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(l / t_1)); 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 = t * sqrt(2.0); tmp = 0.0; if ((t / l) <= -1e+156) tmp = asin((-l / t_1)); elseif ((t / l) <= 5e+84) tmp = asin(sqrt(((1.0 - ((Om / Omc) / (Omc / Om))) / (1.0 + (2.0 * ((t / l) / (l / t))))))); else tmp = asin((l / t_1)); 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[(t * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t / l), $MachinePrecision], -1e+156], N[ArcSin[N[((-l) / t$95$1), $MachinePrecision]], $MachinePrecision], If[LessEqual[N[(t / l), $MachinePrecision], 5e+84], 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[(l / t$95$1), $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 := t \cdot \sqrt{2}\\
\mathbf{if}\;\frac{t}{\ell} \leq -1 \cdot 10^{+156}:\\
\;\;\;\;\sin^{-1} \left(\frac{-\ell}{t_1}\right)\\
\mathbf{elif}\;\frac{t}{\ell} \leq 5 \cdot 10^{+84}:\\
\;\;\;\;\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}{t_1}\right)\\
\end{array}
Results
if (/.f64 t l) < -9.9999999999999998e155Initial program 49.2
Taylor expanded in Om around 0 49.2
Simplified49.2
[Start]49.2 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{{t}^{2}}{{\ell}^{2}}}}\right)
\] |
|---|---|
unpow2 [=>]49.2 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{\color{blue}{t \cdot t}}{{\ell}^{2}}}}\right)
\] |
unpow2 [=>]49.2 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{t \cdot t}{\color{blue}{\ell \cdot \ell}}}}\right)
\] |
Applied egg-rr97.3
Simplified97.3
[Start]97.3 | \[ \sin^{-1} \left(\frac{1}{\mathsf{hypot}\left(1, \sqrt{2} \cdot \frac{t}{\ell}\right)}\right)
\] |
|---|---|
*-commutative [=>]97.3 | \[ \sin^{-1} \left(\frac{1}{\mathsf{hypot}\left(1, \color{blue}{\frac{t}{\ell} \cdot \sqrt{2}}\right)}\right)
\] |
Taylor expanded in t around -inf 99.1
Simplified99.1
[Start]99.1 | \[ \sin^{-1} \left(-1 \cdot \frac{\ell}{\sqrt{2} \cdot t}\right)
\] |
|---|---|
associate-/r* [=>]99.1 | \[ \sin^{-1} \left(-1 \cdot \color{blue}{\frac{\frac{\ell}{\sqrt{2}}}{t}}\right)
\] |
associate-*r/ [=>]99.1 | \[ \sin^{-1} \color{blue}{\left(\frac{-1 \cdot \frac{\ell}{\sqrt{2}}}{t}\right)}
\] |
neg-mul-1 [<=]99.1 | \[ \sin^{-1} \left(\frac{\color{blue}{-\frac{\ell}{\sqrt{2}}}}{t}\right)
\] |
distribute-frac-neg [<=]99.1 | \[ \sin^{-1} \left(\frac{\color{blue}{\frac{-\ell}{\sqrt{2}}}}{t}\right)
\] |
associate-/r* [<=]99.1 | \[ \sin^{-1} \color{blue}{\left(\frac{-\ell}{\sqrt{2} \cdot t}\right)}
\] |
if -9.9999999999999998e155 < (/.f64 t l) < 5.0000000000000001e84Initial program 98.6
Applied egg-rr98.6
Applied egg-rr98.6
if 5.0000000000000001e84 < (/.f64 t l) Initial program 58.4
Taylor expanded in Om around 0 43.3
Simplified43.3
[Start]43.3 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{{t}^{2}}{{\ell}^{2}}}}\right)
\] |
|---|---|
unpow2 [=>]43.3 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{\color{blue}{t \cdot t}}{{\ell}^{2}}}}\right)
\] |
unpow2 [=>]43.3 | \[ \sin^{-1} \left(\sqrt{\frac{1}{1 + 2 \cdot \frac{t \cdot t}{\color{blue}{\ell \cdot \ell}}}}\right)
\] |
Applied egg-rr97.6
Simplified97.6
[Start]97.6 | \[ \sin^{-1} \left(\frac{1}{\mathsf{hypot}\left(1, \sqrt{2} \cdot \frac{t}{\ell}\right)}\right)
\] |
|---|---|
*-commutative [=>]97.6 | \[ \sin^{-1} \left(\frac{1}{\mathsf{hypot}\left(1, \color{blue}{\frac{t}{\ell} \cdot \sqrt{2}}\right)}\right)
\] |
Taylor expanded in t around inf 98.9
Final simplification98.7
| Alternative 1 | |
|---|---|
| Error | 98.4% |
| Cost | 32832.00 |
| Alternative 2 | |
|---|---|
| Error | 98.4% |
| Cost | 32832.00 |
| Alternative 3 | |
|---|---|
| Error | 97.4% |
| Cost | 19712.00 |
| Alternative 4 | |
|---|---|
| Error | 97.9% |
| Cost | 14152.00 |
| Alternative 5 | |
|---|---|
| Error | 62.5% |
| Cost | 13650.00 |
| Alternative 6 | |
|---|---|
| Error | 62.5% |
| Cost | 13649.00 |
| Alternative 7 | |
|---|---|
| Error | 79.4% |
| Cost | 13640.00 |
| Alternative 8 | |
|---|---|
| Error | 96.8% |
| Cost | 13640.00 |
| Alternative 9 | |
|---|---|
| Error | 96.8% |
| Cost | 13640.00 |
| Alternative 10 | |
|---|---|
| Error | 51.0% |
| Cost | 6464.00 |
herbie shell --seed 2023097
(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)))))))