[AD] Fixes #2

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2026-01-07 12:47:18 +01:00
parent 2c9921c6d1
commit ced4ba4143
2 changed files with 1 additions and 1 deletions

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@@ -70,7 +70,7 @@ The concept for this algorithm is selecting an element (that being the largest o
\item \textbf{Efficiency:} Works well for small datasets or nearly sorted arrays.
\item \textbf{Time Complexity:}
\begin{itemize}
\item Best case (already sorted): $\tcl{n\log(n)}$
\item Best case (already sorted): $\tcl{n}$
\item Worst case (reversed order): $\tco{n^2}$
\item Average case: $\tct{n^2}$
\end{itemize}