Copositive matrices, sums of squares and the stability number of a graph

Luis Felipe Vargas*, Monique Laurent

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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Abstract

This chapter investigates the cone of copositive matrices, with a focus on the design and analysis of conic inner approximations for it. These approximations are based on various sufficient conditions for matrix copositivity, relying on positivity certificates in terms of sums of squares of polynomials. Their application to the discrete optimization problem asking for a maximum stable set in a graph is also discussed. A central theme in this chapter is understanding when the conic approximations suffice for describing the full copositive cone, and when the corresponding bounds for the stable set problem admit finite convergence.
Original languageEnglish
Title of host publicationPolynomial Optimization, Moments, and Applications
EditorsMichal Kočvara, Bernard Mourrain, Cordian Riener
PublisherSpringer Cham
Pages99-132
Number of pages37
Volume206
ISBN (Electronic)978-3-031-38659-6
ISBN (Print)978-3-031-38658-9
Publication statusPublished - 11 Oct 2023

Publication series

NameSpringer Optimization and its Applications
PublisherSpringer Cham
Volume206
ISSN (Print)1931-6828

Keywords

  • polynomial optimization
  • sum of squares polynomial
  • real algebraic geometry
  • stable sets in graphs
  • copositive matrix
  • semidefinite optimization

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