\frac{a \cdot {k}^{m}}{\left(1 + 10 \cdot k\right) + k \cdot k}\begin{array}{l}
\mathbf{if}\;k \le 1.78875813605099582 \cdot 10^{83}:\\
\;\;\;\;\frac{a \cdot {k}^{m}}{\left(1 + 10 \cdot k\right) + k \cdot k}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{e^{-1 \cdot \left(m \cdot \log \left(\frac{1}{k}\right)\right)}}{k}, \frac{a}{k}, 99 \cdot \frac{a \cdot e^{-1 \cdot \left(m \cdot \log \left(\frac{1}{k}\right)\right)}}{{k}^{4}} - 10 \cdot \frac{a \cdot e^{-1 \cdot \left(m \cdot \log \left(\frac{1}{k}\right)\right)}}{{k}^{3}}\right)\\
\end{array}double code(double a, double k, double m) {
return ((double) (((double) (a * ((double) pow(k, m)))) / ((double) (((double) (1.0 + ((double) (10.0 * k)))) + ((double) (k * k))))));
}
double code(double a, double k, double m) {
double VAR;
if ((k <= 1.7887581360509958e+83)) {
VAR = ((double) (((double) (a * ((double) pow(k, m)))) / ((double) (((double) (1.0 + ((double) (10.0 * k)))) + ((double) (k * k))))));
} else {
VAR = ((double) fma(((double) (((double) exp(((double) (-1.0 * ((double) (m * ((double) log(((double) (1.0 / k)))))))))) / k)), ((double) (a / k)), ((double) (((double) (99.0 * ((double) (((double) (a * ((double) exp(((double) (-1.0 * ((double) (m * ((double) log(((double) (1.0 / k)))))))))))) / ((double) pow(k, 4.0)))))) - ((double) (10.0 * ((double) (((double) (a * ((double) exp(((double) (-1.0 * ((double) (m * ((double) log(((double) (1.0 / k)))))))))))) / ((double) pow(k, 3.0))))))))));
}
return VAR;
}



Bits error versus a



Bits error versus k



Bits error versus m
Results
if k < 1.7887581360509958e+83Initial program 0.1
if 1.7887581360509958e+83 < k Initial program 7.2
Taylor expanded around inf 7.2
Simplified0.1
Final simplification0.1
herbie shell --seed 2020123 +o rules:numerics
(FPCore (a k m)
:name "Falkner and Boettcher, Appendix A"
:precision binary64
(/ (* a (pow k m)) (+ (+ 1 (* 10 k)) (* k k))))