Lecture

Complexity of Algorithms: Big-O

In course

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Description

This lecture covers the concept of Big-O notation, illustrating how to determine the complexity of algorithms by analyzing polynomial functions. It explains the relationship between functions and their growth rates, emphasizing the leading term's dominance in polynomial growth.

Official source

https://mediaspace.epfl.ch/media/0_u8n8bflj

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Ontological neighbourhood

Theoretical computer science

Theory of computation: Computational complexity theory

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