{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)}\begin{array}{l}
\mathbf{if}\;\frac{1}{n} \le -8.28957440978626294 \cdot 10^{-4}:\\
\;\;\;\;\log \left(e^{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)}}\right)\\
\mathbf{elif}\;\frac{1}{n} \le 2.7376649343181104 \cdot 10^{-11}:\\
\;\;\;\;\frac{\frac{1}{n}}{x} - \left(\frac{\frac{0.5}{n}}{{x}^{2}} - \frac{\log x \cdot 1}{x \cdot {n}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(x + 1\right)}^{\left(2 \cdot \frac{1}{n}\right)} + \left(-{x}^{\left(2 \cdot \frac{1}{n}\right)}\right)}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + {x}^{\left(\frac{1}{n}\right)}}\\
\end{array}double code(double x, double n) {
return (pow((x + 1.0), (1.0 / n)) - pow(x, (1.0 / n)));
}
double code(double x, double n) {
double VAR;
if (((1.0 / n) <= -0.0008289574409786263)) {
VAR = log(exp((pow((x + 1.0), (1.0 / n)) - pow(x, (1.0 / n)))));
} else {
double VAR_1;
if (((1.0 / n) <= 2.7376649343181104e-11)) {
VAR_1 = (((1.0 / n) / x) - (((0.5 / n) / pow(x, 2.0)) - ((log(x) * 1.0) / (x * pow(n, 2.0)))));
} else {
VAR_1 = ((pow((x + 1.0), (2.0 * (1.0 / n))) + -pow(x, (2.0 * (1.0 / n)))) / (pow((x + 1.0), (1.0 / n)) + pow(x, (1.0 / n))));
}
VAR = VAR_1;
}
return VAR;
}



Bits error versus x



Bits error versus n
Results
if (/ 1.0 n) < -0.0008289574409786263Initial program 0.5
rmApplied add-log-exp0.8
Applied add-log-exp0.7
Applied diff-log0.7
Simplified0.7
if -0.0008289574409786263 < (/ 1.0 n) < 2.7376649343181104e-11Initial program 44.6
Taylor expanded around inf 32.6
Simplified32.0
if 2.7376649343181104e-11 < (/ 1.0 n) Initial program 6.9
rmApplied flip--6.9
Simplified6.9
Final simplification23.4
herbie shell --seed 2020078
(FPCore (x n)
:name "2nthrt (problem 3.4.6)"
:precision binary64
(- (pow (+ x 1) (/ 1 n)) (pow x (/ 1 n))))