Lecture

Max-Cut Problem: SDP Relaxation and Randomized Rounding

In course

Proident commodo deserunt do ea incididunt eu enim nulla proident elit culpa cupidatat dolor. Quis amet nulla cillum ea. Ex ea aliquip veniam sunt qui magna Lorem cillum dolor exercitation anim voluptate. Duis id sit dolor irure Lorem elit laborum consectetur et nostrud.

Description

This lecture covers the Max-Cut Problem, a combinatorial optimization problem that is NP-complete. The instructor explains how to relax the problem using an Integer QP and SDP, and then uses Randomized Rounding to find approximate solutions. The lecture also delves into Polynomial Optimization, discussing nonnegative polynomials, sum-of-squares polynomials, and the difficulty of checking nonnegativity. Various theorems and examples are presented to illustrate the concepts.

Instructor

proident non

Veniam labore occaecat officia nisi eiusmod. Esse laboris consequat mollit pariatur cupidatat. Ex labore proident ut pariatur. Officia do aliquip consequat deserunt non quis duis irure laborum proident id labore. Fugiat quis irure aliqua do et incididunt anim dolor minim nisi enim. Labore officia tempor quis adipisicing adipisicing laborum dolor.

Official source

https://mediaspace.epfl.ch/media/0_jv0fe46m

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

Education

Educational stages: Higher education

Related lectures (32)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.