We explore some connections between association schemes and the analyses of the semidefinite programming (SDP) based convex relaxations of combinatorial optimization problems in the Lov\'{a}sz--Schrijver lift-and-project hierarchy. Our analysis of the relaxations of the stable set polytope leads to bounds on the clique and stability numbers of some regular graphs reminiscent of classical bounds by Delsarte and Hoffman, as well as the notion of deeply vertex-transitive graphs -- highly symmetric graphs that we show arise naturally from some association schemes. We also study relaxations of the hypergraph matching problem, and determine exactly or provide bounds on the lift-and-project ranks of these relaxations. Our proofs for these results ...
Lovász and Schrijver [SIAM J. Optim., 1 (1991), pp. 166–190] showed how to formulate increasingly ti...
Abstract. The theta bodies of a polynomial ideal are a series of semidefinite programming relaxation...
In combinatorial optimization, many problems can be modeled by optimizing a linear functional over ...
In this chapter we describe a novel way of deriving semidefinite programming relaxations of a wide c...
In this chapter we describe a novel way of deriving semidefinite programming relaxations of a wide c...
The inapproximability for NP-hard combinatorial optimization problems lies in the heart of theoretic...
The inapproximability for NP-hard combinatorial optimization problems lies in the heart of theoretic...
Sherali and Adams [SA90], Lovász and Schrijver [LS91] and, recently, Lasserre [Las01b] have proposed...
We study Lovász and Schrijver's hierarchy of relaxations based on positive semidefiniteness constrai...
Sherali and Adams [SA90], Lov'asz and Schrijver [LS91] and, recently, Lasserre [Las01b] have propos...
We consider the relaxation of the matching polytope defined by the non-negativity and degree constra...
In both mathematical research and real-life, we often encounter problems that can be framed as findi...
Studying the approximation threshold of NP-hard optimization problems, i.e. the ratio of the objecti...
Studying the approximation threshold of NP-hard optimization problems, i.e. the ratio of the objecti...
We consider semidefinite programs, where all the matrices defining the problem commute. We show that...
Lovász and Schrijver [SIAM J. Optim., 1 (1991), pp. 166–190] showed how to formulate increasingly ti...
Abstract. The theta bodies of a polynomial ideal are a series of semidefinite programming relaxation...
In combinatorial optimization, many problems can be modeled by optimizing a linear functional over ...
In this chapter we describe a novel way of deriving semidefinite programming relaxations of a wide c...
In this chapter we describe a novel way of deriving semidefinite programming relaxations of a wide c...
The inapproximability for NP-hard combinatorial optimization problems lies in the heart of theoretic...
The inapproximability for NP-hard combinatorial optimization problems lies in the heart of theoretic...
Sherali and Adams [SA90], Lovász and Schrijver [LS91] and, recently, Lasserre [Las01b] have proposed...
We study Lovász and Schrijver's hierarchy of relaxations based on positive semidefiniteness constrai...
Sherali and Adams [SA90], Lov'asz and Schrijver [LS91] and, recently, Lasserre [Las01b] have propos...
We consider the relaxation of the matching polytope defined by the non-negativity and degree constra...
In both mathematical research and real-life, we often encounter problems that can be framed as findi...
Studying the approximation threshold of NP-hard optimization problems, i.e. the ratio of the objecti...
Studying the approximation threshold of NP-hard optimization problems, i.e. the ratio of the objecti...
We consider semidefinite programs, where all the matrices defining the problem commute. We show that...
Lovász and Schrijver [SIAM J. Optim., 1 (1991), pp. 166–190] showed how to formulate increasingly ti...
Abstract. The theta bodies of a polynomial ideal are a series of semidefinite programming relaxation...
In combinatorial optimization, many problems can be modeled by optimizing a linear functional over ...