algorithmic complexity
Algorithmic complexity refers to the measure of the efficiency of an algorithm, indicating how its time and space requirements grow as the input size increases. It quantifies how much time or memory an algorithm needs to execute, serving as a way to compare different algorithms and understand their performance.
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