\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 r119910 = x;
double r119911 = y;
double r119912 = r119910 * r119911;
double r119913 = z;
double r119914 = t;
double r119915 = r119913 * r119914;
double r119916 = r119912 + r119915;
double r119917 = a;
double r119918 = b;
double r119919 = r119917 * r119918;
double r119920 = r119916 + r119919;
double r119921 = c;
double r119922 = i;
double r119923 = r119921 * r119922;
double r119924 = r119920 + r119923;
return r119924;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r119925 = i;
double r119926 = c;
double r119927 = t;
double r119928 = z;
double r119929 = a;
double r119930 = b;
double r119931 = x;
double r119932 = y;
double r119933 = r119931 * r119932;
double r119934 = fma(r119929, r119930, r119933);
double r119935 = fma(r119927, r119928, r119934);
double r119936 = fma(r119925, r119926, r119935);
return r119936;
}



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 2020062 +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)))