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Using worst-case analysis: Big O notation describes the worst-case scenario to provide an upper bound on the algorithm’s complexity. Using additive notation for multiple terms: If an algorithm has multiple time complexities in different parts, the complexities are added together (e.g., O(n) + O(n^2) = O(n^2)).