\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 r48252 = x;
double r48253 = y;
double r48254 = r48252 * r48253;
double r48255 = z;
double r48256 = t;
double r48257 = r48255 * r48256;
double r48258 = r48254 + r48257;
double r48259 = a;
double r48260 = b;
double r48261 = r48259 * r48260;
double r48262 = r48258 + r48261;
double r48263 = c;
double r48264 = i;
double r48265 = r48263 * r48264;
double r48266 = r48262 + r48265;
return r48266;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r48267 = i;
double r48268 = c;
double r48269 = t;
double r48270 = z;
double r48271 = a;
double r48272 = b;
double r48273 = x;
double r48274 = y;
double r48275 = r48273 * r48274;
double r48276 = fma(r48271, r48272, r48275);
double r48277 = fma(r48269, r48270, r48276);
double r48278 = fma(r48267, r48268, r48277);
return r48278;
}



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 2020027 +o rules:numerics
(FPCore (x y z t a b c i)
:name "Linear.V4:$cdot from linear-1.19.1.3"
:precision binary64
(+ (+ (+ (* x y) (* z t)) (* a b)) (* c i)))