\left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i
\mathsf{fma}\left(i, c, \mathsf{fma}\left(t, z, \mathsf{fma}\left(a, b, x \cdot y\right)\right)\right)double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r72707 = x;
double r72708 = y;
double r72709 = r72707 * r72708;
double r72710 = z;
double r72711 = t;
double r72712 = r72710 * r72711;
double r72713 = r72709 + r72712;
double r72714 = a;
double r72715 = b;
double r72716 = r72714 * r72715;
double r72717 = r72713 + r72716;
double r72718 = c;
double r72719 = i;
double r72720 = r72718 * r72719;
double r72721 = r72717 + r72720;
return r72721;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r72722 = i;
double r72723 = c;
double r72724 = t;
double r72725 = z;
double r72726 = a;
double r72727 = b;
double r72728 = x;
double r72729 = y;
double r72730 = r72728 * r72729;
double r72731 = fma(r72726, r72727, r72730);
double r72732 = fma(r72724, r72725, r72731);
double r72733 = fma(r72722, r72723, r72732);
return r72733;
}



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
Taylor expanded around inf 0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2019354 +o rules:numerics
(FPCore (x y z t a b c i)
:name "Linear.V4:$cdot from linear-1.19.1.3"
:precision binary64
(+ (+ (+ (* x y) (* z t)) (* a b)) (* c i)))