Average Error: 0.1 → 0.1
Time: 4.2s
Precision: binary64
\[0 \leq e \land e \leq 1\]
\[\frac{e \cdot \sin v}{1 + e \cdot \cos v}\]
\[e \cdot \frac{\sin v}{e \cdot \cos v + 1}\]
\frac{e \cdot \sin v}{1 + e \cdot \cos v}
e \cdot \frac{\sin v}{e \cdot \cos v + 1}
(FPCore (e v) :precision binary64 (/ (* e (sin v)) (+ 1.0 (* e (cos v)))))
(FPCore (e v) :precision binary64 (* e (/ (sin v) (+ (* e (cos v)) 1.0))))
double code(double e, double v) {
	return (((double) (e * ((double) sin(v)))) / ((double) (1.0 + ((double) (e * ((double) cos(v)))))));
}
double code(double e, double v) {
	return ((double) (e * (((double) sin(v)) / ((double) (((double) (e * ((double) cos(v)))) + 1.0)))));
}

Error

Bits error versus e

Bits error versus v

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.1

    \[\frac{e \cdot \sin v}{1 + e \cdot \cos v}\]
  2. Using strategy rm
  3. Applied *-un-lft-identity_binary640.1

    \[\leadsto \frac{e \cdot \sin v}{\color{blue}{1 \cdot \left(1 + e \cdot \cos v\right)}}\]
  4. Applied times-frac_binary640.1

    \[\leadsto \color{blue}{\frac{e}{1} \cdot \frac{\sin v}{1 + e \cdot \cos v}}\]
  5. Simplified0.1

    \[\leadsto \color{blue}{e} \cdot \frac{\sin v}{1 + e \cdot \cos v}\]
  6. Simplified0.1

    \[\leadsto e \cdot \color{blue}{\frac{\sin v}{e \cdot \cos v + 1}}\]
  7. Final simplification0.1

    \[\leadsto e \cdot \frac{\sin v}{e \cdot \cos v + 1}\]

Reproduce

herbie shell --seed 2020210 
(FPCore (e v)
  :name "Trigonometry A"
  :precision binary64
  :pre (<= 0.0 e 1.0)
  (/ (* e (sin v)) (+ 1.0 (* e (cos v)))))