\frac{r \cdot \sin b}{\cos \left(a + b\right)}\frac{r}{\mathsf{fma}\left(\cos b, \cos a, \sin a \cdot \sin b\right)} \cdot \frac{\sin b}{\frac{\cos b \cdot \cos a - \sin a \cdot \sin b}{\mathsf{fma}\left(\cos b, \cos a, \sin a \cdot \sin b\right)}}double f(double r, double a, double b) {
double r19499 = r;
double r19500 = b;
double r19501 = sin(r19500);
double r19502 = r19499 * r19501;
double r19503 = a;
double r19504 = r19503 + r19500;
double r19505 = cos(r19504);
double r19506 = r19502 / r19505;
return r19506;
}
double f(double r, double a, double b) {
double r19507 = r;
double r19508 = b;
double r19509 = cos(r19508);
double r19510 = a;
double r19511 = cos(r19510);
double r19512 = sin(r19510);
double r19513 = sin(r19508);
double r19514 = r19512 * r19513;
double r19515 = fma(r19509, r19511, r19514);
double r19516 = r19507 / r19515;
double r19517 = r19509 * r19511;
double r19518 = r19517 - r19514;
double r19519 = r19518 / r19515;
double r19520 = r19513 / r19519;
double r19521 = r19516 * r19520;
return r19521;
}



Bits error versus r



Bits error versus a



Bits error versus b
Initial program 15.3
rmApplied cos-sum0.3
rmApplied *-un-lft-identity0.3
Applied times-frac0.3
Simplified0.3
Simplified0.3
rmApplied flip--0.4
Simplified0.4
Simplified0.4
rmApplied *-un-lft-identity0.4
Applied times-frac0.4
Applied *-un-lft-identity0.4
Applied times-frac0.4
Applied associate-*r*0.4
Simplified0.4
Final simplification0.4
herbie shell --seed 2020056 +o rules:numerics
(FPCore (r a b)
:name "r*sin(b)/cos(a+b), A"
:precision binary64
(/ (* r (sin b)) (cos (+ a b))))