Average Error: 1.9 → 0.2
Time: 6.1s
Precision: binary64
\[\frac{a \cdot {k}^{m}}{\left(1 + 10 \cdot k\right) + k \cdot k}\]
\[\begin{array}{l} \mathbf{if}\;k \le 7.43032575854467656 \cdot 10^{150}:\\ \;\;\;\;\frac{a}{\sqrt{1 + k \cdot \left(k + 10\right)}} \cdot \frac{{k}^{m}}{\sqrt{1 + k \cdot \left(k + 10\right)}}\\ \mathbf{else}:\\ \;\;\;\;\frac{{\left(e^{m}\right)}^{\left(\log k\right)}}{k} \cdot \frac{a}{k} + \left(\frac{{\left(e^{m}\right)}^{\left(\log k\right)}}{k} \cdot \frac{a}{k}\right) \cdot \left(\frac{99}{k \cdot k} - \frac{10}{k}\right)\\ \end{array}\]
\frac{a \cdot {k}^{m}}{\left(1 + 10 \cdot k\right) + k \cdot k}
\begin{array}{l}
\mathbf{if}\;k \le 7.43032575854467656 \cdot 10^{150}:\\
\;\;\;\;\frac{a}{\sqrt{1 + k \cdot \left(k + 10\right)}} \cdot \frac{{k}^{m}}{\sqrt{1 + k \cdot \left(k + 10\right)}}\\

\mathbf{else}:\\
\;\;\;\;\frac{{\left(e^{m}\right)}^{\left(\log k\right)}}{k} \cdot \frac{a}{k} + \left(\frac{{\left(e^{m}\right)}^{\left(\log k\right)}}{k} \cdot \frac{a}{k}\right) \cdot \left(\frac{99}{k \cdot k} - \frac{10}{k}\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 <= 7.430325758544677e+150)) {
		VAR = ((double) (((double) (a / ((double) sqrt(((double) (1.0 + ((double) (k * ((double) (k + 10.0)))))))))) * ((double) (((double) pow(k, m)) / ((double) sqrt(((double) (1.0 + ((double) (k * ((double) (k + 10.0))))))))))));
	} else {
		VAR = ((double) (((double) (((double) (((double) pow(((double) exp(m)), ((double) log(k)))) / k)) * ((double) (a / k)))) + ((double) (((double) (((double) (((double) pow(((double) exp(m)), ((double) log(k)))) / k)) * ((double) (a / k)))) * ((double) (((double) (99.0 / ((double) (k * k)))) - ((double) (10.0 / k))))))));
	}
	return VAR;
}

Error

Bits error versus a

Bits error versus k

Bits error versus m

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Split input into 2 regimes
  2. if k < 7.43032575854467656e150

    1. Initial program 0.1

      \[\frac{a \cdot {k}^{m}}{\left(1 + 10 \cdot k\right) + k \cdot k}\]
    2. Using strategy rm
    3. Applied add-sqr-sqrt0.2

      \[\leadsto \frac{a \cdot {k}^{m}}{\color{blue}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k} \cdot \sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}}}\]
    4. Applied times-frac0.2

      \[\leadsto \color{blue}{\frac{a}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}} \cdot \frac{{k}^{m}}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}}}\]
    5. Simplified0.2

      \[\leadsto \color{blue}{\frac{a}{\sqrt{1 + k \cdot \left(k + 10\right)}}} \cdot \frac{{k}^{m}}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}}\]
    6. Simplified0.2

      \[\leadsto \frac{a}{\sqrt{1 + k \cdot \left(k + 10\right)}} \cdot \color{blue}{\frac{{k}^{m}}{\sqrt{1 + k \cdot \left(k + 10\right)}}}\]

    if 7.43032575854467656e150 < k

    1. Initial program 9.5

      \[\frac{a \cdot {k}^{m}}{\left(1 + 10 \cdot k\right) + k \cdot k}\]
    2. Using strategy rm
    3. Applied add-sqr-sqrt9.5

      \[\leadsto \frac{a \cdot {k}^{m}}{\color{blue}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k} \cdot \sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}}}\]
    4. Applied times-frac9.5

      \[\leadsto \color{blue}{\frac{a}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}} \cdot \frac{{k}^{m}}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}}}\]
    5. Simplified9.5

      \[\leadsto \color{blue}{\frac{a}{\sqrt{1 + k \cdot \left(k + 10\right)}}} \cdot \frac{{k}^{m}}{\sqrt{\left(1 + 10 \cdot k\right) + k \cdot k}}\]
    6. Simplified9.5

      \[\leadsto \frac{a}{\sqrt{1 + k \cdot \left(k + 10\right)}} \cdot \color{blue}{\frac{{k}^{m}}{\sqrt{1 + k \cdot \left(k + 10\right)}}}\]
    7. Taylor expanded around inf 9.5

      \[\leadsto \color{blue}{\left(99 \cdot \frac{e^{m \cdot \left(\log 1 - \log \left(\frac{1}{k}\right)\right)} \cdot a}{{k}^{4}} + \frac{e^{m \cdot \left(\log 1 - \log \left(\frac{1}{k}\right)\right)} \cdot a}{{k}^{2}}\right) - 10 \cdot \frac{e^{m \cdot \left(\log 1 - \log \left(\frac{1}{k}\right)\right)} \cdot a}{{k}^{3}}}\]
    8. Simplified0.1

      \[\leadsto \color{blue}{\frac{{\left(e^{m}\right)}^{\left(0 + \log k\right)}}{k} \cdot \frac{a}{k} + \left(\frac{{\left(e^{m}\right)}^{\left(0 + \log k\right)}}{k} \cdot \frac{a}{k}\right) \cdot \left(\frac{99}{k \cdot k} - \frac{10}{k}\right)}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.2

    \[\leadsto \begin{array}{l} \mathbf{if}\;k \le 7.43032575854467656 \cdot 10^{150}:\\ \;\;\;\;\frac{a}{\sqrt{1 + k \cdot \left(k + 10\right)}} \cdot \frac{{k}^{m}}{\sqrt{1 + k \cdot \left(k + 10\right)}}\\ \mathbf{else}:\\ \;\;\;\;\frac{{\left(e^{m}\right)}^{\left(\log k\right)}}{k} \cdot \frac{a}{k} + \left(\frac{{\left(e^{m}\right)}^{\left(\log k\right)}}{k} \cdot \frac{a}{k}\right) \cdot \left(\frac{99}{k \cdot k} - \frac{10}{k}\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2020181 
(FPCore (a k m)
  :name "Falkner and Boettcher, Appendix A"
  :precision binary64
  (/ (* a (pow k m)) (+ (+ 1.0 (* 10.0 k)) (* k k))))