\sqrt{\frac{e^{2 \cdot x} - 1}{e^{x} - 1}}\begin{array}{l}
\mathbf{if}\;x \le -1.41561703945165 \cdot 10^{-8}:\\
\;\;\;\;\sqrt{\frac{\frac{{\left(e^{2 \cdot x}\right)}^{3} - {1}^{3}}{\mathsf{fma}\left(e^{2 \cdot x} + 1, 1, {\left(e^{2}\right)}^{\left(2 \cdot x\right)}\right)}}{\frac{1}{\frac{e^{x} + 1}{{\left(e^{2 \cdot x}\right)}^{3} - {\left(1 \cdot 1\right)}^{3}} \cdot \left(e^{2 \cdot x} \cdot e^{2 \cdot x} + \left(\left(1 \cdot 1\right) \cdot \left(1 \cdot 1\right) + e^{2 \cdot x} \cdot \left(1 \cdot 1\right)\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\mathsf{fma}\left(0.5, {x}^{2}, \mathsf{fma}\left(1, x, 2\right)\right)}\\
\end{array}double code(double x) {
return sqrt(((exp((2.0 * x)) - 1.0) / (exp(x) - 1.0)));
}
double code(double x) {
double VAR;
if ((x <= -1.41561703945165e-08)) {
VAR = sqrt((((pow(exp((2.0 * x)), 3.0) - pow(1.0, 3.0)) / fma((exp((2.0 * x)) + 1.0), 1.0, pow(exp(2.0), (2.0 * x)))) / (1.0 / (((exp(x) + 1.0) / (pow(exp((2.0 * x)), 3.0) - pow((1.0 * 1.0), 3.0))) * ((exp((2.0 * x)) * exp((2.0 * x))) + (((1.0 * 1.0) * (1.0 * 1.0)) + (exp((2.0 * x)) * (1.0 * 1.0))))))));
} else {
VAR = sqrt(fma(0.5, pow(x, 2.0), fma(1.0, x, 2.0)));
}
return VAR;
}



Bits error versus x
Results
if x < -1.41561703945165e-08Initial program 0.3
rmApplied flip--0.1
Simplified0.0
rmApplied clear-num0.0
Simplified0.0
rmApplied flip3--0.2
Applied associate-/r/0.2
rmApplied flip3--0.0
Simplified0.0
if -1.41561703945165e-08 < x Initial program 36.7
Taylor expanded around 0 6.0
Simplified6.0
Final simplification0.7
herbie shell --seed 2020078 +o rules:numerics
(FPCore (x)
:name "sqrtexp (problem 3.4.4)"
:precision binary64
(sqrt (/ (- (exp (* 2 x)) 1) (- (exp x) 1))))