Simplifying Big O - Part 2

The lecture explains how to simplify Big O notation by removing non-dominant terms and constants. It covers the analysis of a function's complexity, emphasizing the importance of identifying the dominant term. The process involves understanding nested loops and their impact on complexity. The lecture concludes with a preview of rare complexities, such as Big O of N factorial, which are less commonly encountered.

How do nested loops affect the Big O notation of a function?

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What is the next topic to be discussed in the following lecture?

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