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.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.