Average Error: 0.2 → 0.2
Time: 4.8s
Precision: binary64
\[\left(-x \cdot \frac{1}{\tan B}\right) + \frac{1}{\sin B}\]
\[\frac{1}{\sin B} - \left(\frac{1}{\sin B} \cdot x\right) \cdot \cos B\]
\left(-x \cdot \frac{1}{\tan B}\right) + \frac{1}{\sin B}
\frac{1}{\sin B} - \left(\frac{1}{\sin B} \cdot x\right) \cdot \cos B
double code(double B, double x) {
	return ((double) (((double) -(((double) (x * (1.0 / ((double) tan(B))))))) + (1.0 / ((double) sin(B)))));
}
double code(double B, double x) {
	return ((double) ((1.0 / ((double) sin(B))) - ((double) (((double) ((1.0 / ((double) sin(B))) * x)) * ((double) cos(B))))));
}

Error

Bits error versus B

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.2

    \[\left(-x \cdot \frac{1}{\tan B}\right) + \frac{1}{\sin B}\]
  2. Simplified0.2

    \[\leadsto \color{blue}{\frac{1}{\sin B} - x \cdot \frac{1}{\tan B}}\]
  3. Using strategy rm
  4. Applied tan-quot0.2

    \[\leadsto \frac{1}{\sin B} - x \cdot \frac{1}{\color{blue}{\frac{\sin B}{\cos B}}}\]
  5. Applied associate-/r/0.2

    \[\leadsto \frac{1}{\sin B} - x \cdot \color{blue}{\left(\frac{1}{\sin B} \cdot \cos B\right)}\]
  6. Applied associate-*r*0.2

    \[\leadsto \frac{1}{\sin B} - \color{blue}{\left(x \cdot \frac{1}{\sin B}\right) \cdot \cos B}\]
  7. Final simplification0.2

    \[\leadsto \frac{1}{\sin B} - \left(\frac{1}{\sin B} \cdot x\right) \cdot \cos B\]

Reproduce

herbie shell --seed 2020196 
(FPCore (B x)
  :name "VandenBroeck and Keller, Equation (24)"
  :precision binary64
  (+ (- (* x (/ 1.0 (tan B)))) (/ 1.0 (sin B))))