Average Error: 15.0 → 0.1
Time: 15.4s
Precision: 64
\[\frac{x}{x \cdot x + 1}\]
\[\frac{1}{x + \frac{1}{x}}\]
\frac{x}{x \cdot x + 1}
\frac{1}{x + \frac{1}{x}}
double f(double x) {
        double r38136 = x;
        double r38137 = r38136 * r38136;
        double r38138 = 1.0;
        double r38139 = r38137 + r38138;
        double r38140 = r38136 / r38139;
        return r38140;
}

double f(double x) {
        double r38141 = 1.0;
        double r38142 = x;
        double r38143 = 1.0;
        double r38144 = r38143 / r38142;
        double r38145 = r38142 + r38144;
        double r38146 = r38141 / r38145;
        return r38146;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original15.0
Target0.1
Herbie0.1
\[\frac{1}{x + \frac{1}{x}}\]

Derivation

  1. Initial program 15.0

    \[\frac{x}{x \cdot x + 1}\]
  2. Using strategy rm
  3. Applied clear-num15.0

    \[\leadsto \color{blue}{\frac{1}{\frac{x \cdot x + 1}{x}}}\]
  4. Simplified15.0

    \[\leadsto \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(x, x, 1\right)}{x}}}\]
  5. Taylor expanded around 0 0.1

    \[\leadsto \frac{1}{\color{blue}{x + 1 \cdot \frac{1}{x}}}\]
  6. Simplified0.1

    \[\leadsto \frac{1}{\color{blue}{x + \frac{1}{x}}}\]
  7. Final simplification0.1

    \[\leadsto \frac{1}{x + \frac{1}{x}}\]

Reproduce

herbie shell --seed 2019303 +o rules:numerics
(FPCore (x)
  :name "x / (x^2 + 1)"
  :precision binary64

  :herbie-target
  (/ 1 (+ x (/ 1 x)))

  (/ x (+ (* x x) 1)))