Lecture

Optimal Decision Making: Applications of Discrete Optimization

Description

This lecture covers the concept of optimal decision making using discrete optimization, focusing on binary variables and their applications in practical problems. Topics include mixed-integer linear programming, the 0-1 knapsack problem, and modeling with binary variables. The instructor discusses LP relaxation, the strength of formulations, and modeling with exponentially many constraints.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

eiusmod tempor Lorem eiusmod

Laborum minim proident adipisicing dolore. Enim amet ea officia est dolore deserunt. Cupidatat incididunt nulla id Lorem ut ad dolor aute nulla anim sit id officia. Elit id veniam occaecat consequat quis veniam exercitation amet dolor nisi. Irure aute reprehenderit est tempor consequat qui laboris laboris. Laborum consectetur qui mollit commodo et deserunt reprehenderit.

Official source

https://mediaspace.epfl.ch/media/0_a2e5ir08

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

Related lectures (43)

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.