Lecture

Complexity of Algorithms

Description

This lecture discusses the complexity of algorithms, focusing on the Big-O notation to analyze the efficiency of algorithms. It covers examples of Big-O estimates for polynomials and the factorial function, as well as combinations of functions. The instructor explains how to abstract from the details of function growth and consider the fastest-growing part for large values.

Official source

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