\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 r62576 = x;
double r62577 = y;
double r62578 = r62576 * r62577;
double r62579 = z;
double r62580 = t;
double r62581 = r62579 * r62580;
double r62582 = r62578 + r62581;
double r62583 = a;
double r62584 = b;
double r62585 = r62583 * r62584;
double r62586 = r62582 + r62585;
double r62587 = c;
double r62588 = i;
double r62589 = r62587 * r62588;
double r62590 = r62586 + r62589;
return r62590;
}
double f(double x, double y, double z, double t, double a, double b, double c, double i) {
double r62591 = i;
double r62592 = c;
double r62593 = t;
double r62594 = z;
double r62595 = a;
double r62596 = b;
double r62597 = x;
double r62598 = y;
double r62599 = r62597 * r62598;
double r62600 = fma(r62595, r62596, r62599);
double r62601 = fma(r62593, r62594, r62600);
double r62602 = fma(r62591, r62592, r62601);
return r62602;
}



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 2020003 +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)))