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en/docs/chapter_computational_complexity/time_complexity.md
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@@ -671,7 +671,7 @@ Since $T(n)$ is a linear function, its growth trend is linear, and therefore, it
In essence, time complexity analysis is about finding the asymptotic upper bound of the "number of operations $T(n)$". It has a precise mathematical definition.
!!! abstract "Asymptotic Upper Bound"
!!! note "Asymptotic Upper Bound"
If there exist positive real numbers $c$ and $n_0$ such that for all $n > n_0$, $T(n) \leq c \cdot f(n)$, then $f(n)$ is considered an asymptotic upper bound of $T(n)$, denoted as $T(n) = O(f(n))$.