Average Error: 15.3 → 0.4
Time: 9.5s
Precision: binary64
\[r \cdot \frac{\sin b}{\cos \left(a + b\right)}\]
\[\frac{r}{\cos a \cdot \frac{\cos b}{\sin b} - \sin a}\]
r \cdot \frac{\sin b}{\cos \left(a + b\right)}
\frac{r}{\cos a \cdot \frac{\cos b}{\sin b} - \sin a}
(FPCore (r a b) :precision binary64 (* r (/ (sin b) (cos (+ a b)))))
(FPCore (r a b)
 :precision binary64
 (/ r (- (* (cos a) (/ (cos b) (sin b))) (sin a))))
double code(double r, double a, double b) {
	return r * (sin(b) / cos(a + b));
}
double code(double r, double a, double b) {
	return r / ((cos(a) * (cos(b) / sin(b))) - sin(a));
}

Error

Bits error versus r

Bits error versus a

Bits error versus b

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 15.3

    \[r \cdot \frac{\sin b}{\cos \left(a + b\right)}\]
  2. Using strategy rm
  3. Applied cos-sum_binary64_5450.3

    \[\leadsto r \cdot \frac{\sin b}{\color{blue}{\cos a \cdot \cos b - \sin a \cdot \sin b}}\]
  4. Taylor expanded around inf 0.3

    \[\leadsto \color{blue}{\frac{r \cdot \sin b}{\cos b \cdot \cos a - \sin a \cdot \sin b}}\]
  5. Simplified0.4

    \[\leadsto \color{blue}{\frac{r}{\frac{\cos a \cdot \cos b}{\sin b} - \sin a}}\]
  6. Using strategy rm
  7. Applied *-un-lft-identity_binary64_4140.4

    \[\leadsto \frac{r}{\frac{\cos a \cdot \cos b}{\color{blue}{1 \cdot \sin b}} - \sin a}\]
  8. Applied times-frac_binary64_4200.4

    \[\leadsto \frac{r}{\color{blue}{\frac{\cos a}{1} \cdot \frac{\cos b}{\sin b}} - \sin a}\]
  9. Simplified0.4

    \[\leadsto \frac{r}{\color{blue}{\cos a} \cdot \frac{\cos b}{\sin b} - \sin a}\]
  10. Final simplification0.4

    \[\leadsto \frac{r}{\cos a \cdot \frac{\cos b}{\sin b} - \sin a}\]

Reproduce

herbie shell --seed 2020292 
(FPCore (r a b)
  :name "rsin B"
  :precision binary64
  (* r (/ (sin b) (cos (+ a b)))))