\pi \cdot \ell - \frac{1}{F \cdot F} \cdot \tan \left(\pi \cdot \ell\right)
\pi \cdot \ell - \frac{1}{F \cdot \left(\frac{1}{\pi \cdot \ell} - \mathsf{fma}\left(0.022222222222222223, {\left(\pi \cdot \ell\right)}^{3}, \mathsf{fma}\left(\ell, \pi \cdot 0.3333333333333333, 0.0021164021164021165 \cdot \left({\pi}^{5} \cdot {\ell}^{5}\right)\right)\right)\right)} \cdot \frac{1}{F}
(FPCore (F l) :precision binary64 (- (* PI l) (* (/ 1.0 (* F F)) (tan (* PI l)))))
(FPCore (F l)
:precision binary64
(-
(* PI l)
(*
(/
1.0
(*
F
(-
(/ 1.0 (* PI l))
(fma
0.022222222222222223
(pow (* PI l) 3.0)
(fma
l
(* PI 0.3333333333333333)
(* 0.0021164021164021165 (* (pow PI 5.0) (pow l 5.0))))))))
(/ 1.0 F))))double code(double F, double l) {
return (((double) M_PI) * l) - ((1.0 / (F * F)) * tan(((double) M_PI) * l));
}
double code(double F, double l) {
return (((double) M_PI) * l) - ((1.0 / (F * ((1.0 / (((double) M_PI) * l)) - fma(0.022222222222222223, pow((((double) M_PI) * l), 3.0), fma(l, (((double) M_PI) * 0.3333333333333333), (0.0021164021164021165 * (pow(((double) M_PI), 5.0) * pow(l, 5.0)))))))) * (1.0 / F));
}



Bits error versus F



Bits error versus l
Initial program 16.5
Simplified16.2
Applied clear-num_binary6416.2
Simplified12.3
Applied associate-/r/_binary6412.3
Applied *-un-lft-identity_binary6412.3
Applied times-frac_binary6412.3
Taylor expanded in l around 0 2.3
Simplified2.3
Taylor expanded in F around 0 2.3
Simplified2.3
Final simplification2.3
herbie shell --seed 2022004
(FPCore (F l)
:name "VandenBroeck and Keller, Equation (6)"
:precision binary64
(- (* PI l) (* (/ 1.0 (* F F)) (tan (* PI l)))))