\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 r96481 = x;
double r96482 = y;
double r96483 = r96481 * r96482;
double r96484 = z;
double r96485 = t;
double r96486 = r96484 * r96485;
double r96487 = r96483 + r96486;
double r96488 = a;
double r96489 = b;
double r96490 = r96488 * r96489;
double r96491 = r96487 + r96490;
double r96492 = c;
double r96493 = i;
double r96494 = r96492 * r96493;
double r96495 = r96491 + r96494;
return r96495;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r96496 = c;
double r96497 = i;
double r96498 = t;
double r96499 = z;
double r96500 = a;
double r96501 = b;
double r96502 = x;
double r96503 = y;
double r96504 = r96502 * r96503;
double r96505 = fma(r96500, r96501, r96504);
double r96506 = fma(r96498, r96499, r96505);
double r96507 = fma(r96496, r96497, r96506);
return r96507;
}



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 2019212 +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)))