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Algorithm complexity measures how the performance of an algorithm changes as the input size grows. It focuses on two key dimensions: *time complexity*, which represents how long an algorithm takes to run, and *space complexity*, which represents how much memory it uses. These measurements help developers evaluate efficiency and scalability ...
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