Average Error: 0.0 → 0.0
Time: 1.5s
Precision: binary64
\[\frac{1}{x - 1} + \frac{x}{x + 1}\]
\[\frac{1}{x \cdot x - 1 \cdot 1} \cdot \left(1 + x\right) + \frac{x}{1 + x}\]
\frac{1}{x - 1} + \frac{x}{x + 1}
\frac{1}{x \cdot x - 1 \cdot 1} \cdot \left(1 + x\right) + \frac{x}{1 + x}
double code(double x) {
	return ((double) ((1.0 / ((double) (x - 1.0))) + (x / ((double) (x + 1.0)))));
}
double code(double x) {
	return ((double) (((double) ((1.0 / ((double) (((double) (x * x)) - ((double) (1.0 * 1.0))))) * ((double) (1.0 + x)))) + (x / ((double) (1.0 + x)))));
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{1}{x - 1} + \frac{x}{x + 1}\]
  2. Using strategy rm
  3. Applied flip--0.0

    \[\leadsto \frac{1}{\color{blue}{\frac{x \cdot x - 1 \cdot 1}{x + 1}}} + \frac{x}{x + 1}\]
  4. Applied associate-/r/0.0

    \[\leadsto \color{blue}{\frac{1}{x \cdot x - 1 \cdot 1} \cdot \left(x + 1\right)} + \frac{x}{x + 1}\]
  5. Final simplification0.0

    \[\leadsto \frac{1}{x \cdot x - 1 \cdot 1} \cdot \left(1 + x\right) + \frac{x}{1 + x}\]

Reproduce

herbie shell --seed 2020196 
(FPCore (x)
  :name "Asymptote B"
  :precision binary64
  (+ (/ 1.0 (- x 1.0)) (/ x (+ x 1.0))))