Lecture

Algorithmic Complexity: Travel Time Analysis

Description

This lecture covers algorithmic complexity, focusing on the analysis of travel time. It explains how to measure the time taken by an algorithm, using examples like finding the maximum of a list. The lecture discusses the concept of algorithmic complexity, the calculation of travel time, and the evaluation of algorithm performance. It also delves into the asymptotic behavior of travel time and the notation used to express it.

Official source

https://mediaspace.epfl.ch/media/0_t9jq500f

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Ontological neighbourhood

Theoretical computer science

Theory of computation: Computational complexity theory

Mathematics

Analysis: Numerical analysis

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