Formulation, Problem Definition

Description

This lecture covers the formulation and problem definition in optimization, focusing on defining the objective function, constraints, and feasible set, as well as concepts like strict local optimum and minimum.

In MOOCs (6)

Instructor

tempor eu minim

Amet esse mollit veniam aute occaecat laborum. Officia labore commodo velit aute ex laboris nulla cupidatat. Aute ut eu ut velit eu. Do nulla consectetur occaecat anim sunt elit aliqua velit sit nostrud reprehenderit. Anim id ea do in cupidatat sit laborum quis adipisicing do non aliquip. Laborum cillum pariatur voluptate nulla anim tempor cupidatat aute velit eiusmod ullamco.

Official source

https://mediaspace.epfl.ch/media/0_mjaz63u1

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 (49)