\left(\left(x \cdot y + z \cdot t\right) + a \cdot b\right) + c \cdot i
\mathsf{fma}\left(c, i, \mathsf{fma}\left(a, b, \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 r100241 = x;
double r100242 = y;
double r100243 = r100241 * r100242;
double r100244 = z;
double r100245 = t;
double r100246 = r100244 * r100245;
double r100247 = r100243 + r100246;
double r100248 = a;
double r100249 = b;
double r100250 = r100248 * r100249;
double r100251 = r100247 + r100250;
double r100252 = c;
double r100253 = i;
double r100254 = r100252 * r100253;
double r100255 = r100251 + r100254;
return r100255;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r100256 = c;
double r100257 = i;
double r100258 = a;
double r100259 = b;
double r100260 = x;
double r100261 = y;
double r100262 = z;
double r100263 = t;
double r100264 = r100262 * r100263;
double r100265 = fma(r100260, r100261, r100264);
double r100266 = fma(r100258, r100259, r100265);
double r100267 = fma(r100256, r100257, r100266);
return r100267;
}



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 2019304 +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)))