\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 r126607 = x;
double r126608 = y;
double r126609 = r126607 * r126608;
double r126610 = z;
double r126611 = t;
double r126612 = r126610 * r126611;
double r126613 = r126609 + r126612;
double r126614 = a;
double r126615 = b;
double r126616 = r126614 * r126615;
double r126617 = r126613 + r126616;
double r126618 = c;
double r126619 = i;
double r126620 = r126618 * r126619;
double r126621 = r126617 + r126620;
return r126621;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r126622 = i;
double r126623 = c;
double r126624 = t;
double r126625 = z;
double r126626 = a;
double r126627 = b;
double r126628 = x;
double r126629 = y;
double r126630 = r126628 * r126629;
double r126631 = fma(r126626, r126627, r126630);
double r126632 = fma(r126624, r126625, r126631);
double r126633 = fma(r126622, r126623, r126632);
return r126633;
}



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 2020060 +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)))