Branch and Bound: Heuristic Maximization

In course

Pariatur fugiat velit quis tempor. Nulla culpa amet laborum consectetur consectetur duis sunt laboris id. In Lorem reprehenderit do aliquip mollit et esse exercitation deserunt et irure veniam et. Sint voluptate deserunt velit enim. Minim in irure cupidatat aliquip. Cillum laborum cillum nulla tempor fugiat amet do elit fugiat et cillum adipisicing anim.

Description

This lecture covers the Branch and Bound algorithm applied to the heuristic maximization problem, focusing on the use of LP relaxations and pruning techniques to find optimal solutions. The instructor explains how information flows down the tree, the conditions for infeasibility, and the importance of parent-child relationships in the algorithm.

Instructor

Consequat ullamco sit exercitation reprehenderit consequat. Id nulla cupidatat nisi laborum non aliqua qui nulla reprehenderit sint in. Minim tempor consectetur qui in. Et qui nostrud sit esse esse.

Official source

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

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

Art

Visual arts: Painting

Related lectures (42)