\left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i
\mathsf{fma}\left(c, i, \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 r93921 = x;
double r93922 = y;
double r93923 = r93921 * r93922;
double r93924 = z;
double r93925 = t;
double r93926 = r93924 * r93925;
double r93927 = r93923 + r93926;
double r93928 = a;
double r93929 = b;
double r93930 = r93928 * r93929;
double r93931 = r93927 + r93930;
double r93932 = c;
double r93933 = i;
double r93934 = r93932 * r93933;
double r93935 = r93931 + r93934;
return r93935;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r93936 = c;
double r93937 = i;
double r93938 = t;
double r93939 = z;
double r93940 = a;
double r93941 = b;
double r93942 = x;
double r93943 = y;
double r93944 = r93942 * r93943;
double r93945 = fma(r93940, r93941, r93944);
double r93946 = fma(r93938, r93939, r93945);
double r93947 = fma(r93936, r93937, r93946);
return r93947;
}



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 2019323 +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)))