\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 r87522 = x;
double r87523 = y;
double r87524 = r87522 * r87523;
double r87525 = z;
double r87526 = t;
double r87527 = r87525 * r87526;
double r87528 = r87524 + r87527;
double r87529 = a;
double r87530 = b;
double r87531 = r87529 * r87530;
double r87532 = r87528 + r87531;
double r87533 = c;
double r87534 = i;
double r87535 = r87533 * r87534;
double r87536 = r87532 + r87535;
return r87536;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r87537 = c;
double r87538 = i;
double r87539 = t;
double r87540 = z;
double r87541 = a;
double r87542 = b;
double r87543 = x;
double r87544 = y;
double r87545 = r87543 * r87544;
double r87546 = fma(r87541, r87542, r87545);
double r87547 = fma(r87539, r87540, r87546);
double r87548 = fma(r87537, r87538, r87547);
return r87548;
}



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 2019305 +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)))