\left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i
\mathsf{fma}\left(i, c, \mathsf{fma}\left(b, a, \mathsf{fma}\left(x, y, z \cdot t\right)\right)\right)double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r160905 = x;
double r160906 = y;
double r160907 = r160905 * r160906;
double r160908 = z;
double r160909 = t;
double r160910 = r160908 * r160909;
double r160911 = r160907 + r160910;
double r160912 = a;
double r160913 = b;
double r160914 = r160912 * r160913;
double r160915 = r160911 + r160914;
double r160916 = c;
double r160917 = i;
double r160918 = r160916 * r160917;
double r160919 = r160915 + r160918;
return r160919;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r160920 = i;
double r160921 = c;
double r160922 = b;
double r160923 = a;
double r160924 = x;
double r160925 = y;
double r160926 = z;
double r160927 = t;
double r160928 = r160926 * r160927;
double r160929 = fma(r160924, r160925, r160928);
double r160930 = fma(r160922, r160923, r160929);
double r160931 = fma(r160920, r160921, r160930);
return r160931;
}



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
Final simplification0.0
herbie shell --seed 2019352 +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)))