Lecture

Algorithmic Challenges: Solutions and Optimization

Description

This lecture covers solutions to algorithmic challenges, including identifying unique elements in a list, analyzing time complexity, optimizing algorithms, and proposing improved sorting methods. It also explores recursive algorithms, probability calculations, and efficient problem-solving strategies.

Official source

https://mediaspace.epfl.ch/media/0_f25vlfde

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Analysis of algorithms

Theory of computation: Computational complexity theory

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