Upper Bound

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A function f(n) is O(g(n)) if f(n) grows no faster than g(n) for sufficiently large n. The upper bound provides a ceiling on growth rate, guaranteeing that the algorithm’s resource usage will not exceed this rate asymptotically.

computational-complexity time-complexity upper-bound