The notation o(n^2) represents a specific type of time complexity that indicates a function grows slower than n squared as the input size, n, increases. This notation is part of asymptotic analysis, which helps in understanding how algorithms perform relative to their input sizes. It’s crucial for comparing the efficiency of algorithms, especially when looking at sorting methods and their behaviors with larger datasets.
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