The process of determining the runtime of an algorithm involves analyzing how the algorithm's performance changes as the input size increases. This is typically done by counting the number of basic operations the algorithm performs and considering how this count scales with the input size. The runtime is often expressed using Big O notation, which describes the algorithm's worst-case performance in terms of the input size.
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