this is for holding javascript data
Niclas Alexandersson edited solving the sum.tex
about 10 years ago
Commit id: ea2ee612581eb0d847e61c26403f8308e05d80bd
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\end{split}
\end{equation}
We know that $H_x$ is bounded from above by a constant multiple of
$\log $, $\log(n)$, meaning $H_x \in
\mathcal{O}(log(n))$\\ \mathcal{O}(\log(n))$\\
Thus: \[T(n) \in \mathcal{O}(nlog(\sqrt{n}))\]
We use the logarithm identity $log_b(x^d) = dlog_b(x)$ to simplify and yield:
\[T(n) \in \mathcal{O}(nlog(n))\]