(FPCore (l Om kx ky)
:precision binary64
(sqrt
(*
(/ 1.0 2.0)
(+
1.0
(/
1.0
(sqrt
(+
1.0
(*
(pow (/ (* 2.0 l) Om) 2.0)
(+ (pow (sin kx) 2.0) (pow (sin ky) 2.0))))))))))(FPCore (l Om kx ky)
:precision binary64
(sqrt
(+
0.5
(log
(exp
(/
0.5
(sqrt
(fma
(* 4.0 (pow (/ l Om) 2.0))
(pow (hypot (sin kx) (sin ky)) 2.0)
1.0))))))))double code(double l, double Om, double kx, double ky) {
return sqrt(((1.0 / 2.0) * (1.0 + (1.0 / sqrt((1.0 + (pow(((2.0 * l) / Om), 2.0) * (pow(sin(kx), 2.0) + pow(sin(ky), 2.0)))))))));
}
double code(double l, double Om, double kx, double ky) {
return sqrt((0.5 + log(exp((0.5 / sqrt(fma((4.0 * pow((l / Om), 2.0)), pow(hypot(sin(kx), sin(ky)), 2.0), 1.0)))))));
}
function code(l, Om, kx, ky) return sqrt(Float64(Float64(1.0 / 2.0) * Float64(1.0 + Float64(1.0 / sqrt(Float64(1.0 + Float64((Float64(Float64(2.0 * l) / Om) ^ 2.0) * Float64((sin(kx) ^ 2.0) + (sin(ky) ^ 2.0))))))))) end
function code(l, Om, kx, ky) return sqrt(Float64(0.5 + log(exp(Float64(0.5 / sqrt(fma(Float64(4.0 * (Float64(l / Om) ^ 2.0)), (hypot(sin(kx), sin(ky)) ^ 2.0), 1.0))))))) end
code[l_, Om_, kx_, ky_] := N[Sqrt[N[(N[(1.0 / 2.0), $MachinePrecision] * N[(1.0 + N[(1.0 / N[Sqrt[N[(1.0 + N[(N[Power[N[(N[(2.0 * l), $MachinePrecision] / Om), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Power[N[Sin[kx], $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[Sin[ky], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
code[l_, Om_, kx_, ky_] := N[Sqrt[N[(0.5 + N[Log[N[Exp[N[(0.5 / N[Sqrt[N[(N[(4.0 * N[Power[N[(l / Om), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sqrt[N[Sin[kx], $MachinePrecision] ^ 2 + N[Sin[ky], $MachinePrecision] ^ 2], $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\sqrt{\frac{1}{2} \cdot \left(1 + \frac{1}{\sqrt{1 + {\left(\frac{2 \cdot \ell}{Om}\right)}^{2} \cdot \left({\sin kx}^{2} + {\sin ky}^{2}\right)}}\right)}
\sqrt{0.5 + \log \left(e^{\frac{0.5}{\sqrt{\mathsf{fma}\left(4 \cdot {\left(\frac{\ell}{Om}\right)}^{2}, {\left(\mathsf{hypot}\left(\sin kx, \sin ky\right)\right)}^{2}, 1\right)}}}\right)}



Bits error versus l



Bits error versus Om



Bits error versus kx



Bits error versus ky
Initial program 1.3
Simplified1.3
Applied egg-rr1.3
Final simplification1.3
herbie shell --seed 2022156
(FPCore (l Om kx ky)
:name "Toniolo and Linder, Equation (3a)"
:precision binary64
(sqrt (* (/ 1.0 2.0) (+ 1.0 (/ 1.0 (sqrt (+ 1.0 (* (pow (/ (* 2.0 l) Om) 2.0) (+ (pow (sin kx) 2.0) (pow (sin ky) 2.0))))))))))