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CS-450: Algorithms II

Summary

A first graduate course in algorithms, this course assumes minimal background, but moves rapidly. The objective is to learn the main techniques of algorithm analysis and design, while building a repertory of basic algorithmic solutions to problems in many domains.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/algorithms-ii-CS-450

Moodle Page

http://go.epfl.ch/CS-450

About this result

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/algorithms-ii-CS-450

Moodle Page

http://go.epfl.ch/CS-450

About this result

Lectures in this course (26)

Greedy Algorithms & Matroids

Introduces greedy algorithms and matroids, highlighting their efficiency in solving optimization problems.

Matroids: Matroid Intersection

Covers the concept of matroids, focusing on matroid intersection and the properties of subsets of a ground set.

Simplex Algorithm

Covers the Simplex algorithm for function minimization with linear constraints.

Stein Algorithm: Polynomial Identity Testing

Explores the Stein algorithm for polynomial identity testing and the minimization of a cut problem.

Polynomial Identity Testing

Covers polynomial identity testing using oracles and random point evaluation, with applications in graph theory and algorithmic aspects.

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