\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 r86230 = x;
double r86231 = y;
double r86232 = r86230 * r86231;
double r86233 = z;
double r86234 = t;
double r86235 = r86233 * r86234;
double r86236 = r86232 + r86235;
double r86237 = a;
double r86238 = b;
double r86239 = r86237 * r86238;
double r86240 = r86236 + r86239;
double r86241 = c;
double r86242 = i;
double r86243 = r86241 * r86242;
double r86244 = r86240 + r86243;
return r86244;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r86245 = c;
double r86246 = i;
double r86247 = a;
double r86248 = b;
double r86249 = x;
double r86250 = y;
double r86251 = z;
double r86252 = t;
double r86253 = r86251 * r86252;
double r86254 = fma(r86249, r86250, r86253);
double r86255 = fma(r86247, r86248, r86254);
double r86256 = fma(r86245, r86246, r86255);
return r86256;
}



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 2019350 +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)))