Lecture

Algorithm Design: Time Complexity Analysis

Description

This lecture covers algorithms, pseudo-code, data inputs, outputs, internal variables, assignments, and instructions. It also discusses time complexity analysis using examples and notations like n², O(n), and f(n)=O(g(n)). The instructor demonstrates how to calculate the time an algorithm takes to execute for different input sizes.

Official source

https://mediaspace.epfl.ch/media/0_70joorfj

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Ontological neighbourhood

Computer engineering

Hardware engineering: Microprocessors

Theoretical computer science

Theory of computation: Computational complexity theory

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