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.

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Polynomial Optimization, Efficiency through Moments and Algebra
Networks and Optimization

Vargas, L.F, & Laurent, M. (2023). Copositive matrices, sums of squares and the stability number of a graph. In Polynomial Optimization, Moments, and Applications (pp. 99–132).