In the last decade, copositive formulations have been proposed for a variety of combinatorial optimization problems, for example the stability number (independence number). In this paper, we generalize this approach to infinite graphs and show that the stability number of an infinite graph is the optimal solution of some infinite-dimensional copositive program. For this we develop a duality theory between the primal convex cone of copositive kernels and the dual convex cone of completely positive measures. We determine the extreme rays of the latter cone, and we illustrate this theory with the help of the kissing number problem.</p
A linear problem of Copositive Programming consists in minimization of a linear function subject to ...
De Klerk and Pasechnik introduced in 2002 semidefinite bounds ϑ(r)(G)(r≥0) for the stability number ...
In this article, we introduce a new method of certifying any copositive matrix to be copositive. Thi...
In the last decade, copositive formulations have been proposed for a variety of combinatorial optimi...
It has been shown that the stable set problem in an infinite compact graph, and particularly the kis...
Lovász and Schrijver [SIAM J. Optim., 1 (1991), pp. 166–190] showed how to formulate increasingly ti...
Considering the stability number of a graph via copositive optimisation Peter J.C. Dickinso
It has been shown that the maximum stable set problem in some infinite graphs, and the kissing numbe...
We consider linear optimization problems over the cone of copositive matrices. Such conic optimizati...
Copositive programming (CP) can be regarded as a special instance of linear semi-infinite programmin...
Foundation of mathematical optimization relies on the urge to utilize available resources to their o...
Copositive programming deals with optimization over the convex cone of so-called copositive matrices...
We investigate a hierarchy of semidefinite bounds $\vartheta^{(r)}(G)$ for the stability number $\al...
This chapter investigates the cone of copositive matrices, with a focus on the design and analysis o...
We apply our recent results on optimality for convex Semi-Infinite Programming problems to a prob...
A linear problem of Copositive Programming consists in minimization of a linear function subject to ...
De Klerk and Pasechnik introduced in 2002 semidefinite bounds ϑ(r)(G)(r≥0) for the stability number ...
In this article, we introduce a new method of certifying any copositive matrix to be copositive. Thi...
In the last decade, copositive formulations have been proposed for a variety of combinatorial optimi...
It has been shown that the stable set problem in an infinite compact graph, and particularly the kis...
Lovász and Schrijver [SIAM J. Optim., 1 (1991), pp. 166–190] showed how to formulate increasingly ti...
Considering the stability number of a graph via copositive optimisation Peter J.C. Dickinso
It has been shown that the maximum stable set problem in some infinite graphs, and the kissing numbe...
We consider linear optimization problems over the cone of copositive matrices. Such conic optimizati...
Copositive programming (CP) can be regarded as a special instance of linear semi-infinite programmin...
Foundation of mathematical optimization relies on the urge to utilize available resources to their o...
Copositive programming deals with optimization over the convex cone of so-called copositive matrices...
We investigate a hierarchy of semidefinite bounds $\vartheta^{(r)}(G)$ for the stability number $\al...
This chapter investigates the cone of copositive matrices, with a focus on the design and analysis o...
We apply our recent results on optimality for convex Semi-Infinite Programming problems to a prob...
A linear problem of Copositive Programming consists in minimization of a linear function subject to ...
De Klerk and Pasechnik introduced in 2002 semidefinite bounds ϑ(r)(G)(r≥0) for the stability number ...
In this article, we introduce a new method of certifying any copositive matrix to be copositive. Thi...