Average Error: 14.5 → 0.1
Time: 3.5s
Precision: 64
\[\frac{1}{x + 1} - \frac{1}{x - 1}\]
\[\begin{array}{l} \mathbf{if}\;x \le -207.49900421996719 \lor \neg \left(x \le 234.24057061613541\right):\\ \;\;\;\;\left(\frac{-2}{{x}^{6}} - \frac{\frac{2}{x}}{x}\right) - \frac{2}{{x}^{4}}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{1}{{x}^{3} + {1}^{3}}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), \frac{-1}{x - 1}\right)\\ \end{array}\]
\frac{1}{x + 1} - \frac{1}{x - 1}
\begin{array}{l}
\mathbf{if}\;x \le -207.49900421996719 \lor \neg \left(x \le 234.24057061613541\right):\\
\;\;\;\;\left(\frac{-2}{{x}^{6}} - \frac{\frac{2}{x}}{x}\right) - \frac{2}{{x}^{4}}\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{1}{{x}^{3} + {1}^{3}}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), \frac{-1}{x - 1}\right)\\

\end{array}
double code(double x) {
	return ((1.0 / (x + 1.0)) - (1.0 / (x - 1.0)));
}
double code(double x) {
	double VAR;
	if (((x <= -207.4990042199672) || !(x <= 234.24057061613541))) {
		VAR = (((-2.0 / pow(x, 6.0)) - ((2.0 / x) / x)) - (2.0 / pow(x, 4.0)));
	} else {
		VAR = fma((1.0 / (pow(x, 3.0) + pow(1.0, 3.0))), ((x * x) + ((1.0 * 1.0) - (x * 1.0))), (-1.0 / (x - 1.0)));
	}
	return VAR;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Split input into 2 regimes
  2. if x < -207.4990042199672 or 234.24057061613541 < x

    1. Initial program 28.9

      \[\frac{1}{x + 1} - \frac{1}{x - 1}\]
    2. Using strategy rm
    3. Applied flip3-+60.8

      \[\leadsto \frac{1}{\color{blue}{\frac{{x}^{3} + {1}^{3}}{x \cdot x + \left(1 \cdot 1 - x \cdot 1\right)}}} - \frac{1}{x - 1}\]
    4. Applied associate-/r/60.8

      \[\leadsto \color{blue}{\frac{1}{{x}^{3} + {1}^{3}} \cdot \left(x \cdot x + \left(1 \cdot 1 - x \cdot 1\right)\right)} - \frac{1}{x - 1}\]
    5. Applied fma-neg60.7

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{1}{{x}^{3} + {1}^{3}}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), -\frac{1}{x - 1}\right)}\]
    6. Simplified60.7

      \[\leadsto \mathsf{fma}\left(\frac{1}{{x}^{3} + {1}^{3}}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), \color{blue}{\frac{-1}{x - 1}}\right)\]
    7. Taylor expanded around inf 0.9

      \[\leadsto \color{blue}{-\left(2 \cdot \frac{1}{{x}^{6}} + \left(2 \cdot \frac{1}{{x}^{2}} + 2 \cdot \frac{1}{{x}^{4}}\right)\right)}\]
    8. Simplified0.1

      \[\leadsto \color{blue}{\left(\frac{-2}{{x}^{6}} - \frac{\frac{2}{x}}{x}\right) - \frac{2}{{x}^{4}}}\]

    if -207.4990042199672 < x < 234.24057061613541

    1. Initial program 0.0

      \[\frac{1}{x + 1} - \frac{1}{x - 1}\]
    2. Using strategy rm
    3. Applied flip3-+0.0

      \[\leadsto \frac{1}{\color{blue}{\frac{{x}^{3} + {1}^{3}}{x \cdot x + \left(1 \cdot 1 - x \cdot 1\right)}}} - \frac{1}{x - 1}\]
    4. Applied associate-/r/0.0

      \[\leadsto \color{blue}{\frac{1}{{x}^{3} + {1}^{3}} \cdot \left(x \cdot x + \left(1 \cdot 1 - x \cdot 1\right)\right)} - \frac{1}{x - 1}\]
    5. Applied fma-neg0.0

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{1}{{x}^{3} + {1}^{3}}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), -\frac{1}{x - 1}\right)}\]
    6. Simplified0.0

      \[\leadsto \mathsf{fma}\left(\frac{1}{{x}^{3} + {1}^{3}}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), \color{blue}{\frac{-1}{x - 1}}\right)\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.1

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \le -207.49900421996719 \lor \neg \left(x \le 234.24057061613541\right):\\ \;\;\;\;\left(\frac{-2}{{x}^{6}} - \frac{\frac{2}{x}}{x}\right) - \frac{2}{{x}^{4}}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{1}{{x}^{3} + {1}^{3}}, x \cdot x + \left(1 \cdot 1 - x \cdot 1\right), \frac{-1}{x - 1}\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2020078 +o rules:numerics
(FPCore (x)
  :name "Asymptote A"
  :precision binary64
  (- (/ 1 (+ x 1)) (/ 1 (- x 1))))