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Time Complexity
Quantifies the amount of time taken by an algorithm to run as a function of the length of the input.
Space Complexity
Measures the amount of memory space required by an algorithm during execution.
Big O Notation
A mathematical notation used to describe the upper limit of the time complexity of an algorithm.