\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 r149502 = x;
double r149503 = y;
double r149504 = r149502 * r149503;
double r149505 = z;
double r149506 = t;
double r149507 = r149505 * r149506;
double r149508 = r149504 + r149507;
double r149509 = a;
double r149510 = b;
double r149511 = r149509 * r149510;
double r149512 = r149508 + r149511;
double r149513 = c;
double r149514 = i;
double r149515 = r149513 * r149514;
double r149516 = r149512 + r149515;
return r149516;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r149517 = i;
double r149518 = c;
double r149519 = t;
double r149520 = z;
double r149521 = a;
double r149522 = b;
double r149523 = x;
double r149524 = y;
double r149525 = r149523 * r149524;
double r149526 = fma(r149521, r149522, r149525);
double r149527 = fma(r149519, r149520, r149526);
double r149528 = fma(r149517, r149518, r149527);
return r149528;
}



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 2019354 +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)))