-\frac{1}{\frac{\pi}{4}} \cdot \log \left(\frac{e^{\frac{\pi}{4} \cdot f} + e^{-\frac{\pi}{4} \cdot f}}{e^{\frac{\pi}{4} \cdot f} - e^{-\frac{\pi}{4} \cdot f}}\right)
\log \left(\frac{e^{\frac{\pi}{4} \cdot f} + {\left(e^{-0.25}\right)}^{\left(\pi \cdot f\right)}}{\mathsf{fma}\left(0.005208333333333333, {f}^{3} \cdot {\pi}^{3}, \mathsf{fma}\left(1.6276041666666666 \cdot 10^{-5}, {f}^{5} \cdot {\pi}^{5}, \mathsf{fma}\left(0.5, \pi \cdot f, 2.422030009920635 \cdot 10^{-8} \cdot \left({f}^{7} \cdot {\pi}^{7}\right)\right)\right)\right)}\right) \cdot \frac{-4}{\pi}
(FPCore (f)
:precision binary64
(-
(*
(/ 1.0 (/ PI 4.0))
(log
(/
(+ (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f))))
(- (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))))))))(FPCore (f)
:precision binary64
(*
(log
(/
(+ (exp (* (/ PI 4.0) f)) (pow (exp -0.25) (* PI f)))
(fma
0.005208333333333333
(* (pow f 3.0) (pow PI 3.0))
(fma
1.6276041666666666e-5
(* (pow f 5.0) (pow PI 5.0))
(fma
0.5
(* PI f)
(* 2.422030009920635e-8 (* (pow f 7.0) (pow PI 7.0))))))))
(/ -4.0 PI)))double code(double f) {
return -((1.0 / (((double) M_PI) / 4.0)) * log(((exp(((((double) M_PI) / 4.0) * f)) + exp(-((((double) M_PI) / 4.0) * f))) / (exp(((((double) M_PI) / 4.0) * f)) - exp(-((((double) M_PI) / 4.0) * f))))));
}
double code(double f) {
return log(((exp(((((double) M_PI) / 4.0) * f)) + pow(exp(-0.25), (((double) M_PI) * f))) / fma(0.005208333333333333, (pow(f, 3.0) * pow(((double) M_PI), 3.0)), fma(1.6276041666666666e-5, (pow(f, 5.0) * pow(((double) M_PI), 5.0)), fma(0.5, (((double) M_PI) * f), (2.422030009920635e-8 * (pow(f, 7.0) * pow(((double) M_PI), 7.0)))))))) * (-4.0 / ((double) M_PI));
}



Bits error versus f
Initial program 61.4
Simplified61.4
Taylor expanded in f around 0 2.3
Simplified2.3
Final simplification2.3
herbie shell --seed 2022125
(FPCore (f)
:name "VandenBroeck and Keller, Equation (20)"
:precision binary64
(- (* (/ 1.0 (/ PI 4.0)) (log (/ (+ (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))) (- (exp (* (/ PI 4.0) f)) (exp (- (* (/ PI 4.0) f)))))))))