\left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i
\mathsf{fma}\left(i, c, \mathsf{fma}\left(b, a, \mathsf{fma}\left(x, y, z \cdot t\right)\right)\right)double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r126854 = x;
double r126855 = y;
double r126856 = r126854 * r126855;
double r126857 = z;
double r126858 = t;
double r126859 = r126857 * r126858;
double r126860 = r126856 + r126859;
double r126861 = a;
double r126862 = b;
double r126863 = r126861 * r126862;
double r126864 = r126860 + r126863;
double r126865 = c;
double r126866 = i;
double r126867 = r126865 * r126866;
double r126868 = r126864 + r126867;
return r126868;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r126869 = i;
double r126870 = c;
double r126871 = b;
double r126872 = a;
double r126873 = x;
double r126874 = y;
double r126875 = z;
double r126876 = t;
double r126877 = r126875 * r126876;
double r126878 = fma(r126873, r126874, r126877);
double r126879 = fma(r126871, r126872, r126878);
double r126880 = fma(r126869, r126870, r126879);
return r126880;
}



Bits error versus x



Bits error versus y



Bits error versus z



Bits error versus t



Bits error versus a



Bits error versus b



Bits error versus c



Bits error versus i
Initial program 0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2020064 +o rules:numerics
(FPCore (x y z t a b c i)
:name "Linear.V4:$cdot from linear-1.19.1.3, C"
:precision binary64
(+ (+ (+ (* x y) (* z t)) (* a b)) (* c i)))