Simplifying Big O - Part 2

Simplifying Big O - Part 2

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Information Technology (IT), Architecture, Mathematics

University

Hard

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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.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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