Lecture

Complexity of Algorithms: Advanced Big-O Facts

Description

This lecture covers advanced concepts related to the complexity of algorithms, including big-O facts for powers, logarithms, and factorials, as well as the combination of functions. The instructor explains how to estimate the complexity of functions and their combinations using big-O notation.

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.