| Alternative 1 | |
|---|---|
| Error | 1.1 |
| Cost | 26624 |
\[\sin^{-1} \left(\frac{\sqrt{1 - \frac{\frac{Om}{Omc}}{\frac{Omc}{Om}}}}{\mathsf{hypot}\left(1, \frac{\sqrt{2}}{\frac{\ell}{t}}\right)}\right)
\]
(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) -1e+164)
(asin (/ (* (sqrt 0.5) (- l)) t))
(if (<= (/ t l) 2e+121)
(asin (sqrt (/ t_1 (+ 1.0 (* 2.0 (/ (/ t l) (/ l t)))))))
(asin (/ (/ (* l (sqrt t_1)) (sqrt 2.0)) 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) <= -1e+164) {
tmp = asin(((sqrt(0.5) * -l) / t));
} else if ((t / l) <= 2e+121) {
tmp = asin(sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t)))))));
} else {
tmp = asin((((l * sqrt(t_1)) / sqrt(2.0)) / 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) <= (-1d+164)) then
tmp = asin(((sqrt(0.5d0) * -l) / t))
else if ((t / l) <= 2d+121) then
tmp = asin(sqrt((t_1 / (1.0d0 + (2.0d0 * ((t / l) / (l / t)))))))
else
tmp = asin((((l * sqrt(t_1)) / sqrt(2.0d0)) / 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) <= -1e+164) {
tmp = Math.asin(((Math.sqrt(0.5) * -l) / t));
} else if ((t / l) <= 2e+121) {
tmp = Math.asin(Math.sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t)))))));
} else {
tmp = Math.asin((((l * Math.sqrt(t_1)) / Math.sqrt(2.0)) / 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) <= -1e+164: tmp = math.asin(((math.sqrt(0.5) * -l) / t)) elif (t / l) <= 2e+121: tmp = math.asin(math.sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t))))))) else: tmp = math.asin((((l * math.sqrt(t_1)) / math.sqrt(2.0)) / 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) <= -1e+164) tmp = asin(Float64(Float64(sqrt(0.5) * Float64(-l)) / t)); elseif (Float64(t / l) <= 2e+121) tmp = asin(sqrt(Float64(t_1 / Float64(1.0 + Float64(2.0 * Float64(Float64(t / l) / Float64(l / t))))))); else tmp = asin(Float64(Float64(Float64(l * sqrt(t_1)) / sqrt(2.0)) / 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) <= -1e+164) tmp = asin(((sqrt(0.5) * -l) / t)); elseif ((t / l) <= 2e+121) tmp = asin(sqrt((t_1 / (1.0 + (2.0 * ((t / l) / (l / t))))))); else tmp = asin((((l * sqrt(t_1)) / sqrt(2.0)) / 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], -1e+164], N[ArcSin[N[(N[(N[Sqrt[0.5], $MachinePrecision] * (-l)), $MachinePrecision] / t), $MachinePrecision]], $MachinePrecision], If[LessEqual[N[(t / l), $MachinePrecision], 2e+121], 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[(N[(N[(l * N[Sqrt[t$95$1], $MachinePrecision]), $MachinePrecision] / N[Sqrt[2.0], $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}
t_1 := 1 - {\left(\frac{Om}{Omc}\right)}^{2}\\
\mathbf{if}\;\frac{t}{\ell} \leq -1 \cdot 10^{+164}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{0.5} \cdot \left(-\ell\right)}{t}\right)\\
\mathbf{elif}\;\frac{t}{\ell} \leq 2 \cdot 10^{+121}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{t_1}{1 + 2 \cdot \frac{\frac{t}{\ell}}{\frac{\ell}{t}}}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\frac{\ell \cdot \sqrt{t_1}}{\sqrt{2}}}{t}\right)\\
\end{array}
Results
if (/.f64 t l) < -1e164Initial program 34.3
Taylor expanded in Om around 0 34.3
Simplified34.3
Taylor expanded in t around -inf 0.6
if -1e164 < (/.f64 t l) < 2.00000000000000007e121Initial program 1.4
Applied egg-rr1.4
if 2.00000000000000007e121 < (/.f64 t l) Initial program 30.0
Applied egg-rr1.5
Taylor expanded in t around inf 8.1
Simplified0.3
Applied egg-rr0.3
Final simplification1.1
| Alternative 1 | |
|---|---|
| Error | 1.1 |
| Cost | 26624 |
| Alternative 2 | |
|---|---|
| Error | 1.1 |
| Cost | 26624 |
| Alternative 3 | |
|---|---|
| Error | 1.1 |
| Cost | 20872 |
| Alternative 4 | |
|---|---|
| Error | 1.1 |
| Cost | 20872 |
| Alternative 5 | |
|---|---|
| Error | 1.1 |
| Cost | 20680 |
| Alternative 6 | |
|---|---|
| Error | 1.0 |
| Cost | 20680 |
| Alternative 7 | |
|---|---|
| Error | 1.1 |
| Cost | 14664 |
| Alternative 8 | |
|---|---|
| Error | 1.8 |
| Cost | 13896 |
| Alternative 9 | |
|---|---|
| Error | 13.3 |
| Cost | 13640 |
| Alternative 10 | |
|---|---|
| Error | 13.3 |
| Cost | 13640 |
| Alternative 11 | |
|---|---|
| Error | 2.1 |
| Cost | 13640 |
| Alternative 12 | |
|---|---|
| Error | 2.1 |
| Cost | 13640 |
| Alternative 13 | |
|---|---|
| Error | 31.6 |
| Cost | 6464 |
herbie shell --seed 2022316
(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)))))))