What are common mistakes in analyzing time complexity?
Some common mistakes include ignoring constant factors, not considering worst-case scenarios, and confusing time complexity with space complexity.
Can you explain why ignoring constant factors is a mistake?
Ignoring constant factors can lead to underestimating the actual performance of an algorithm, especially for small input sizes.
What about confusing time complexity with space complexity?
Confusing the two can result in poor algorithm choices, as time complexity measures execution time while space complexity measures memory usage.
How can I avoid these mistakes?
To avoid these mistakes, always analyze algorithms in terms of both time and space complexity, and practice with various examples.
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