\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 r109792 = x;
double r109793 = y;
double r109794 = r109792 * r109793;
double r109795 = z;
double r109796 = t;
double r109797 = r109795 * r109796;
double r109798 = r109794 + r109797;
double r109799 = a;
double r109800 = b;
double r109801 = r109799 * r109800;
double r109802 = r109798 + r109801;
double r109803 = c;
double r109804 = i;
double r109805 = r109803 * r109804;
double r109806 = r109802 + r109805;
return r109806;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r109807 = i;
double r109808 = c;
double r109809 = t;
double r109810 = z;
double r109811 = a;
double r109812 = b;
double r109813 = x;
double r109814 = y;
double r109815 = r109813 * r109814;
double r109816 = fma(r109811, r109812, r109815);
double r109817 = fma(r109809, r109810, r109816);
double r109818 = fma(r109807, r109808, r109817);
return r109818;
}



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 2020024 +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)))