
(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 8 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
(if (<= (/ t_m l_m) 2e+150)
(asin
(sqrt
(/ (- 1.0 (pow (/ Om Omc) 2.0)) (+ (* (pow (/ t_m l_m) 2.0) 2.0) 1.0))))
(asin
(*
(sqrt (- (fma (/ Om Omc) (/ Om Omc) -1.0)))
(/ (* (sqrt 0.5) l_m) 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) <= 2e+150) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / ((pow((t_m / l_m), 2.0) * 2.0) + 1.0))));
} else {
tmp = asin((sqrt(-fma((Om / Omc), (Om / Omc), -1.0)) * ((sqrt(0.5) * l_m) / 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) <= 2e+150) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / Float64(Float64((Float64(t_m / l_m) ^ 2.0) * 2.0) + 1.0)))); else tmp = asin(Float64(sqrt(Float64(-fma(Float64(Om / Omc), Float64(Om / Omc), -1.0))) * Float64(Float64(sqrt(0.5) * l_m) / t_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], 2e+150], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Power[N[(t$95$m / l$95$m), $MachinePrecision], 2.0], $MachinePrecision] * 2.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[Sqrt[(-N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision] + -1.0), $MachinePrecision])], $MachinePrecision] * N[(N[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$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 2 \cdot 10^{+150}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{{\left(\frac{t\_m}{l\_m}\right)}^{2} \cdot 2 + 1}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{-\mathsf{fma}\left(\frac{Om}{Omc}, \frac{Om}{Omc}, -1\right)} \cdot \frac{\sqrt{0.5} \cdot l\_m}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1.99999999999999996e150Initial program 90.0%
if 1.99999999999999996e150 < (/.f64 t l) Initial program 36.4%
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.f6436.4
Applied rewrites36.4%
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
sub-negN/A
+-commutativeN/A
metadata-evalN/A
distribute-neg-inN/A
metadata-evalN/A
sub-negN/A
lower-neg.f64N/A
sub-negN/A
unpow2N/A
unpow2N/A
times-fracN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f6499.4
Applied rewrites99.4%
Final simplification91.2%
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(let* ((t_1 (sqrt (/ t_m l_m))))
(if (<= (/ t_m l_m) 2e+150)
(asin
(sqrt
(/
(- 1.0 (pow (/ Om Omc) 2.0))
(fma (* t_1 (* 2.0 (/ t_m l_m))) t_1 1.0))))
(asin
(*
(sqrt (- (fma (/ Om Omc) (/ Om Omc) -1.0)))
(/ (* (sqrt 0.5) l_m) t_m))))))l_m = fabs(l);
t_m = fabs(t);
double code(double t_m, double l_m, double Om, double Omc) {
double t_1 = sqrt((t_m / l_m));
double tmp;
if ((t_m / l_m) <= 2e+150) {
tmp = asin(sqrt(((1.0 - pow((Om / Omc), 2.0)) / fma((t_1 * (2.0 * (t_m / l_m))), t_1, 1.0))));
} else {
tmp = asin((sqrt(-fma((Om / Omc), (Om / Omc), -1.0)) * ((sqrt(0.5) * l_m) / t_m)));
}
return tmp;
}
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) t_1 = sqrt(Float64(t_m / l_m)) tmp = 0.0 if (Float64(t_m / l_m) <= 2e+150) tmp = asin(sqrt(Float64(Float64(1.0 - (Float64(Om / Omc) ^ 2.0)) / fma(Float64(t_1 * Float64(2.0 * Float64(t_m / l_m))), t_1, 1.0)))); else tmp = asin(Float64(sqrt(Float64(-fma(Float64(Om / Omc), Float64(Om / Omc), -1.0))) * Float64(Float64(sqrt(0.5) * l_m) / t_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[Sqrt[N[(t$95$m / l$95$m), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$m / l$95$m), $MachinePrecision], 2e+150], N[ArcSin[N[Sqrt[N[(N[(1.0 - N[Power[N[(Om / Omc), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$1 * N[(2.0 * N[(t$95$m / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[Sqrt[(-N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision] + -1.0), $MachinePrecision])], $MachinePrecision] * N[(N[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
t_1 := \sqrt{\frac{t\_m}{l\_m}}\\
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 2 \cdot 10^{+150}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1 - {\left(\frac{Om}{Omc}\right)}^{2}}{\mathsf{fma}\left(t\_1 \cdot \left(2 \cdot \frac{t\_m}{l\_m}\right), t\_1, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{-\mathsf{fma}\left(\frac{Om}{Omc}, \frac{Om}{Omc}, -1\right)} \cdot \frac{\sqrt{0.5} \cdot l\_m}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1.99999999999999996e150Initial program 90.0%
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.f6442.4
Applied rewrites42.4%
if 1.99999999999999996e150 < (/.f64 t l) Initial program 36.4%
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.f6436.4
Applied rewrites36.4%
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
sub-negN/A
+-commutativeN/A
metadata-evalN/A
distribute-neg-inN/A
metadata-evalN/A
sub-negN/A
lower-neg.f64N/A
sub-negN/A
unpow2N/A
unpow2N/A
times-fracN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f6499.4
Applied rewrites99.4%
Final simplification50.0%
l_m = (fabs.f64 l)
t_m = (fabs.f64 t)
(FPCore (t_m l_m Om Omc)
:precision binary64
(if (<= (/ t_m l_m) 2e+150)
(asin (sqrt (/ 1.0 (fma (/ t_m l_m) (* 2.0 (/ t_m l_m)) 1.0))))
(asin
(*
(sqrt (- (fma (/ Om Omc) (/ Om Omc) -1.0)))
(/ (* (sqrt 0.5) l_m) 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) <= 2e+150) {
tmp = asin(sqrt((1.0 / fma((t_m / l_m), (2.0 * (t_m / l_m)), 1.0))));
} else {
tmp = asin((sqrt(-fma((Om / Omc), (Om / Omc), -1.0)) * ((sqrt(0.5) * l_m) / 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) <= 2e+150) tmp = asin(sqrt(Float64(1.0 / fma(Float64(t_m / l_m), Float64(2.0 * Float64(t_m / l_m)), 1.0)))); else tmp = asin(Float64(sqrt(Float64(-fma(Float64(Om / Omc), Float64(Om / Omc), -1.0))) * Float64(Float64(sqrt(0.5) * l_m) / t_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], 2e+150], N[ArcSin[N[Sqrt[N[(1.0 / 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[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision] + -1.0), $MachinePrecision])], $MachinePrecision] * N[(N[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$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 2 \cdot 10^{+150}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{t\_m}{l\_m}, 2 \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{-\mathsf{fma}\left(\frac{Om}{Omc}, \frac{Om}{Omc}, -1\right)} \cdot \frac{\sqrt{0.5} \cdot l\_m}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1.99999999999999996e150Initial program 90.0%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f6486.4
Applied rewrites86.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f6486.4
lift-*.f64N/A
*-commutativeN/A
lower-*.f6486.4
Applied rewrites86.4%
Taylor expanded in Omc around inf
Applied rewrites89.8%
if 1.99999999999999996e150 < (/.f64 t l) Initial program 36.4%
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.f6436.4
Applied rewrites36.4%
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
sub-negN/A
+-commutativeN/A
metadata-evalN/A
distribute-neg-inN/A
metadata-evalN/A
sub-negN/A
lower-neg.f64N/A
sub-negN/A
unpow2N/A
unpow2N/A
times-fracN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f6499.4
Applied rewrites99.4%
Final simplification91.0%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= (/ t_m l_m) 2e+150) (asin (sqrt (/ 1.0 (fma (/ t_m l_m) (* 2.0 (/ t_m l_m)) 1.0)))) (asin (/ (* (sqrt 0.5) l_m) 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) <= 2e+150) {
tmp = asin(sqrt((1.0 / fma((t_m / l_m), (2.0 * (t_m / l_m)), 1.0))));
} else {
tmp = asin(((sqrt(0.5) * l_m) / 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) <= 2e+150) tmp = asin(sqrt(Float64(1.0 / fma(Float64(t_m / l_m), Float64(2.0 * Float64(t_m / l_m)), 1.0)))); else tmp = asin(Float64(Float64(sqrt(0.5) * l_m) / t_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], 2e+150], N[ArcSin[N[Sqrt[N[(1.0 / 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[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$m), $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 2 \cdot 10^{+150}:\\
\;\;\;\;\sin^{-1} \left(\sqrt{\frac{1}{\mathsf{fma}\left(\frac{t\_m}{l\_m}, 2 \cdot \frac{t\_m}{l\_m}, 1\right)}}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{0.5} \cdot l\_m}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1.99999999999999996e150Initial program 90.0%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f6486.4
Applied rewrites86.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow2N/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f6486.4
lift-*.f64N/A
*-commutativeN/A
lower-*.f6486.4
Applied rewrites86.4%
Taylor expanded in Omc around inf
Applied rewrites89.8%
if 1.99999999999999996e150 < (/.f64 t l) Initial program 36.4%
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
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-*.f6490.7
Applied rewrites90.7%
Taylor expanded in Omc around inf
Applied rewrites99.4%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= (/ t_m l_m) 0.001) (fma (PI) 0.5 (- (acos (sqrt (- (fma (/ Om Omc) (/ Om Omc) -1.0)))))) (asin (/ (* (sqrt 0.5) l_m) t_m))))
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{t\_m}{l\_m} \leq 0.001:\\
\;\;\;\;\mathsf{fma}\left(\mathsf{PI}\left(\right), 0.5, -\cos^{-1} \left(\sqrt{-\mathsf{fma}\left(\frac{Om}{Omc}, \frac{Om}{Omc}, -1\right)}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{0.5} \cdot l\_m}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1e-3Initial program 88.5%
lift-asin.f64N/A
asin-acosN/A
sub-negN/A
div-invN/A
metadata-evalN/A
lower-fma.f64N/A
lower-PI.f64N/A
lower-neg.f64N/A
lower-acos.f6475.3
lift-/.f64N/A
frac-2negN/A
lower-/.f64N/A
Applied rewrites75.3%
Taylor expanded in t around 0
mul-1-negN/A
lower-neg.f64N/A
sub-negN/A
unpow2N/A
unpow2N/A
times-fracN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f6465.5
Applied rewrites65.5%
if 1e-3 < (/.f64 t l) Initial program 65.5%
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
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-*.f6494.7
Applied rewrites94.7%
Taylor expanded in Omc around inf
Applied rewrites99.4%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= (/ t_m l_m) 0.001) (asin (sqrt (- (fma (/ Om Omc) (/ Om Omc) -1.0)))) (asin (/ (* (sqrt 0.5) l_m) 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) <= 0.001) {
tmp = asin(sqrt(-fma((Om / Omc), (Om / Omc), -1.0)));
} else {
tmp = asin(((sqrt(0.5) * l_m) / 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) <= 0.001) tmp = asin(sqrt(Float64(-fma(Float64(Om / Omc), Float64(Om / Omc), -1.0)))); else tmp = asin(Float64(Float64(sqrt(0.5) * l_m) / t_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], 0.001], N[ArcSin[N[Sqrt[(-N[(N[(Om / Omc), $MachinePrecision] * N[(Om / Omc), $MachinePrecision] + -1.0), $MachinePrecision])], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$m), $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 0.001:\\
\;\;\;\;\sin^{-1} \left(\sqrt{-\mathsf{fma}\left(\frac{Om}{Omc}, \frac{Om}{Omc}, -1\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{0.5} \cdot l\_m}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1e-3Initial program 88.5%
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.f6433.8
Applied rewrites33.8%
Taylor expanded in t around 0
sub-negN/A
+-commutativeN/A
metadata-evalN/A
distribute-neg-inN/A
metadata-evalN/A
sub-negN/A
lower-neg.f64N/A
sub-negN/A
unpow2N/A
unpow2N/A
times-fracN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f6465.5
Applied rewrites65.5%
if 1e-3 < (/.f64 t l) Initial program 65.5%
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
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-*.f6494.7
Applied rewrites94.7%
Taylor expanded in Omc around inf
Applied rewrites99.4%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (if (<= (/ t_m l_m) 0.001) (asin (sqrt 1.0)) (asin (/ (* (sqrt 0.5) l_m) 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) <= 0.001) {
tmp = asin(sqrt(1.0));
} else {
tmp = asin(((sqrt(0.5) * l_m) / 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) <= 0.001d0) then
tmp = asin(sqrt(1.0d0))
else
tmp = asin(((sqrt(0.5d0) * l_m) / 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) <= 0.001) {
tmp = Math.asin(Math.sqrt(1.0));
} else {
tmp = Math.asin(((Math.sqrt(0.5) * l_m) / 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) <= 0.001: tmp = math.asin(math.sqrt(1.0)) else: tmp = math.asin(((math.sqrt(0.5) * l_m) / 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) <= 0.001) tmp = asin(sqrt(1.0)); else tmp = asin(Float64(Float64(sqrt(0.5) * l_m) / 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) <= 0.001) tmp = asin(sqrt(1.0)); else tmp = asin(((sqrt(0.5) * l_m) / 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], 0.001], N[ArcSin[N[Sqrt[1.0], $MachinePrecision]], $MachinePrecision], N[ArcSin[N[(N[(N[Sqrt[0.5], $MachinePrecision] * l$95$m), $MachinePrecision] / t$95$m), $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 0.001:\\
\;\;\;\;\sin^{-1} \left(\sqrt{1}\right)\\
\mathbf{else}:\\
\;\;\;\;\sin^{-1} \left(\frac{\sqrt{0.5} \cdot l\_m}{t\_m}\right)\\
\end{array}
\end{array}
if (/.f64 t l) < 1e-3Initial program 88.5%
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.f6433.8
Applied rewrites33.8%
Taylor expanded in t around 0
sub-negN/A
+-commutativeN/A
metadata-evalN/A
distribute-neg-inN/A
metadata-evalN/A
sub-negN/A
lower-neg.f64N/A
sub-negN/A
unpow2N/A
unpow2N/A
times-fracN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f6465.5
Applied rewrites65.5%
Taylor expanded in Omc around inf
Applied rewrites65.2%
if 1e-3 < (/.f64 t l) Initial program 65.5%
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
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-*.f6494.7
Applied rewrites94.7%
Taylor expanded in Omc around inf
Applied rewrites99.4%
l_m = (fabs.f64 l) t_m = (fabs.f64 t) (FPCore (t_m l_m Om Omc) :precision binary64 (asin (sqrt 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));
}
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))
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));
}
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))
l_m = abs(l) t_m = abs(t) function code(t_m, l_m, Om, Omc) return asin(sqrt(1.0)) end
l_m = abs(l); t_m = abs(t); function tmp = code(t_m, l_m, Om, Omc) tmp = asin(sqrt(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[1.0], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t_m = \left|t\right|
\\
\sin^{-1} \left(\sqrt{1}\right)
\end{array}
Initial program 82.8%
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.f6441.6
Applied rewrites41.6%
Taylor expanded in t around 0
sub-negN/A
+-commutativeN/A
metadata-evalN/A
distribute-neg-inN/A
metadata-evalN/A
sub-negN/A
lower-neg.f64N/A
sub-negN/A
unpow2N/A
unpow2N/A
times-fracN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
lower-/.f6450.6
Applied rewrites50.6%
Taylor expanded in Omc around inf
Applied rewrites50.4%
herbie shell --seed 2024248
(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)))))))