\cos \left(\frac{K \cdot \left(m + n\right)}{2} - M\right) \cdot e^{\left(-{\left(\frac{m + n}{2} - M\right)}^{2}\right) - \left(\ell - \left|m - n\right|\right)}\frac{1}{e^{{\left(\frac{m + n}{2} - M\right)}^{2} + \left(\ell - \left|m - n\right|\right)}}double code(double K, double m, double n, double M, double l) {
return ((double) (((double) cos(((double) (((double) (((double) (K * ((double) (m + n)))) / 2.0)) - M)))) * ((double) exp(((double) (((double) -(((double) pow(((double) (((double) (((double) (m + n)) / 2.0)) - M)), 2.0)))) - ((double) (l - ((double) fabs(((double) (m - n))))))))))));
}
double code(double K, double m, double n, double M, double l) {
return ((double) (1.0 / ((double) exp(((double) (((double) pow(((double) (((double) (((double) (m + n)) / 2.0)) - M)), 2.0)) + ((double) (l - ((double) fabs(((double) (m - n))))))))))));
}



Bits error versus K



Bits error versus m



Bits error versus n



Bits error versus M



Bits error versus l
Results
Initial program 15.4
Simplified15.4
Taylor expanded around 0 1.2
Final simplification1.2
herbie shell --seed 2020120
(FPCore (K m n M l)
:name "Maksimov and Kolovsky, Equation (32)"
:precision binary64
(* (cos (- (/ (* K (+ m n)) 2) M)) (exp (- (- (pow (- (/ (+ m n) 2) M) 2)) (- l (fabs (- m n)))))))