Lecture

Approximation Algorithms

In course

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Description

This lecture, taught by the instructor, covers approximation algorithms for optimization problems, focusing on vertex cover. The content includes definitions, algorithm design, complexity analysis, and LP relaxation. The lecture explores the concept of integrality gap and provides insights into the process of solving optimization problems using randomized rounding techniques.

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_jrgx1gta

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Mathematical logic: Set theory

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

Theory of computation: Computational complexity theory

Logic

Classical logic: First-order logic

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