\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 r163510 = x;
double r163511 = y;
double r163512 = r163510 * r163511;
double r163513 = z;
double r163514 = t;
double r163515 = r163513 * r163514;
double r163516 = r163512 + r163515;
double r163517 = a;
double r163518 = b;
double r163519 = r163517 * r163518;
double r163520 = r163516 + r163519;
double r163521 = c;
double r163522 = i;
double r163523 = r163521 * r163522;
double r163524 = r163520 + r163523;
return r163524;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r163525 = i;
double r163526 = c;
double r163527 = t;
double r163528 = z;
double r163529 = a;
double r163530 = b;
double r163531 = x;
double r163532 = y;
double r163533 = r163531 * r163532;
double r163534 = fma(r163529, r163530, r163533);
double r163535 = fma(r163527, r163528, r163534);
double r163536 = fma(r163525, r163526, r163535);
return r163536;
}



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 2020036 +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)))