Lecture

Formulation, Problem Transformations

Description

This lecture covers various ways to transform optimization problems to meet algorithm requirements, including changing from minimization to maximization, adding constants to the objective function, handling inequality constraints, and converting inequality constraints into equality constraints. The instructor explains how to make problems equivalent by creating feasible points and achieving the same objective function value.

In MOOCs (6)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_0a6aq5vb

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

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