Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collections of squares, rectangles, polytopes, and so on can readily be defined by means of linear systems with parameters in constant terms. In this paper, we consider the membership problem of deciding whether a given polyhedron belongs to the class defined by a parameterized linear system. As an example, we are interested in questions such as: “does a given polytope belong to the class of hypercubes?” We show that the membership problem is NP-complete, even when restricting to the 2-dimensional plane. Despite the negative result, the constructive proof allows us to devise a concise decision procedure using constraint logic programming over the reals...
AbstractLinear systems of an arbitrary number of inequalities provide external representations for t...
First, we consider how to efficiently determine whether a piecewise-defined function in 2D is convex...
This paper describes an extension of a symbolic knowledge extraction approach for Linear Support Vec...
Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collection...
Extending linear constraints by admitting parameters allows for more abstract problem modeling and r...
Convex polyhedra are important objects in various areas of mathematics and other disciplines. A fund...
In this paper we consider the following basic problem in polyhedral computation: Given two polyhedra...
A system of linear inequality and equality constraints determines a convex polyhedral set of feasibl...
AbstractIn this paper we consider the following basic problem in polyhedral computation: Given two p...
This theoretical paper is inspired by an integer linear programming (ILP) approach to learning the s...
The motivation for this paper is the integer linear programming approach to learning the structure o...
AbstractThe solution sets of analytical linear inequality systems posed in the Euclidean space form ...
This paper addresses the symbolic representation of non-convex real polyhedra, i.e., sets of real ve...
We discuss how well a given convex body B in a real d-dimensional vector space V can be approximated...
International audiencePolyhedra are used in verification and automatic parallelization to capture li...
AbstractLinear systems of an arbitrary number of inequalities provide external representations for t...
First, we consider how to efficiently determine whether a piecewise-defined function in 2D is convex...
This paper describes an extension of a symbolic knowledge extraction approach for Linear Support Vec...
Parameterized linear systems allow for modelling and reasoning over classes of polyhedra. Collection...
Extending linear constraints by admitting parameters allows for more abstract problem modeling and r...
Convex polyhedra are important objects in various areas of mathematics and other disciplines. A fund...
In this paper we consider the following basic problem in polyhedral computation: Given two polyhedra...
A system of linear inequality and equality constraints determines a convex polyhedral set of feasibl...
AbstractIn this paper we consider the following basic problem in polyhedral computation: Given two p...
This theoretical paper is inspired by an integer linear programming (ILP) approach to learning the s...
The motivation for this paper is the integer linear programming approach to learning the structure o...
AbstractThe solution sets of analytical linear inequality systems posed in the Euclidean space form ...
This paper addresses the symbolic representation of non-convex real polyhedra, i.e., sets of real ve...
We discuss how well a given convex body B in a real d-dimensional vector space V can be approximated...
International audiencePolyhedra are used in verification and automatic parallelization to capture li...
AbstractLinear systems of an arbitrary number of inequalities provide external representations for t...
First, we consider how to efficiently determine whether a piecewise-defined function in 2D is convex...
This paper describes an extension of a symbolic knowledge extraction approach for Linear Support Vec...