We study the generalization of split and intersection cuts from Mixed Integer Linear Pro-gramming to the realm of Mixed Integer Nonlinear Programming. Constructing such cuts requires calculating the convex hull of the difference of two convex sets with specific geometric structures. We introduce two techniques to give precise characterizations of such convex hulls and use them to construct split and intersection cuts for several classes of sets. In particular, we give simple formulas for split cuts for essentially all convex sets described by a single quadratic inequality and for more general intersection cuts for a wide variety of convex quadratic sets
Abstract. In the seventies, Balas introduced intersection cuts for a Mixed Integer Linear Program (M...
We study split cuts and extended formulations for Mixed Integer Conic Quadratic Programming (MICQP) ...
We describe a computationally effective method for generating disjunctive inequalities for convex m...
We study the generalization of split, k-branch split, and intersection cuts from mixed integer linea...
One of the most important breakthroughs in the area of Mixed Integer Linear Programming (MILP) is th...
One of the most important breakthroughs in the area of Mixed Integer Linear Programming (MILP) is th...
One of the most important breakthroughs in the area of Mixed Integer Linear Programming (MILP) is th...
This paper presents a general, self-contained treatment of convexity or intersection cuts. It descr...
We develop a general framework for linear intersection cuts for convex integer programs with full-di...
We show that every facet-defining inequality of the convex hull of a mixed-integer polyhedral set wi...
We survey recent progress in applying disjunctive programming theory for the effective solution of m...
We survey recent progress in applying disjunctive programming theory for the effective solution of m...
We survey recent progress in applying disjunctive programming theory for the effective solution of m...
Abstract. This paper addresses the problem of generating cuts for mixed integer nonlinear programs w...
This tutorial presents a theory of valid inequalities for mixed integer linear sets. It introduces t...
Abstract. In the seventies, Balas introduced intersection cuts for a Mixed Integer Linear Program (M...
We study split cuts and extended formulations for Mixed Integer Conic Quadratic Programming (MICQP) ...
We describe a computationally effective method for generating disjunctive inequalities for convex m...
We study the generalization of split, k-branch split, and intersection cuts from mixed integer linea...
One of the most important breakthroughs in the area of Mixed Integer Linear Programming (MILP) is th...
One of the most important breakthroughs in the area of Mixed Integer Linear Programming (MILP) is th...
One of the most important breakthroughs in the area of Mixed Integer Linear Programming (MILP) is th...
This paper presents a general, self-contained treatment of convexity or intersection cuts. It descr...
We develop a general framework for linear intersection cuts for convex integer programs with full-di...
We show that every facet-defining inequality of the convex hull of a mixed-integer polyhedral set wi...
We survey recent progress in applying disjunctive programming theory for the effective solution of m...
We survey recent progress in applying disjunctive programming theory for the effective solution of m...
We survey recent progress in applying disjunctive programming theory for the effective solution of m...
Abstract. This paper addresses the problem of generating cuts for mixed integer nonlinear programs w...
This tutorial presents a theory of valid inequalities for mixed integer linear sets. It introduces t...
Abstract. In the seventies, Balas introduced intersection cuts for a Mixed Integer Linear Program (M...
We study split cuts and extended formulations for Mixed Integer Conic Quadratic Programming (MICQP) ...
We describe a computationally effective method for generating disjunctive inequalities for convex m...