This survey is concerned with the size of formulations for combinatorial optimization problems. Natural formulations often have a number of constraints that is exponential in the size of the data needed to describe the problem. Here we are particularly inter-ested in situations where the addition of a polynomial number of extra variables allows a formulation with a polynomial number of constraints
AbstractMany combinatorial optimization problems call for the optimization of a linear function over...
Exploring the power of linear programming for combinatorial optimization problems has been recently ...
In order to define a polynomial approximation theory linked to combinatorial optimization closer tha...
This survey is concerned with the size of perfect formulations for combinatorial optimization proble...
The best formulations for some combinatorial optimization problems are integer linear programming mo...
The best formulations for some combinatorial optimization problems are integer linear programming ...
Dans cette habilitation à diriger des recherches, nous présentons nos contributions aux formulations...
Linear and semidefinite programs are fundamental algorithmic tools, often providing conjecturallyopt...
AbstractAn extended formulation of a polytope P is a system of linear inequalities and equations tha...
A combinatorial problem is the problem of finding an object with some desired property among a finit...
Hard combinatorial optimization problems are often approximated using linear or semidefinite program...
A classical theorem in Combinatorial Optimization proves the existence of fully polynomialtime appro...
Combinatorial optimization problems require selecting the best solution from a discrete (albeit ofte...
An extended formulation of a polytope is a linear description of this polytope using extra variables...
International audienceCombinatorial optimization problems serve as models for a great number of real...
AbstractMany combinatorial optimization problems call for the optimization of a linear function over...
Exploring the power of linear programming for combinatorial optimization problems has been recently ...
In order to define a polynomial approximation theory linked to combinatorial optimization closer tha...
This survey is concerned with the size of perfect formulations for combinatorial optimization proble...
The best formulations for some combinatorial optimization problems are integer linear programming mo...
The best formulations for some combinatorial optimization problems are integer linear programming ...
Dans cette habilitation à diriger des recherches, nous présentons nos contributions aux formulations...
Linear and semidefinite programs are fundamental algorithmic tools, often providing conjecturallyopt...
AbstractAn extended formulation of a polytope P is a system of linear inequalities and equations tha...
A combinatorial problem is the problem of finding an object with some desired property among a finit...
Hard combinatorial optimization problems are often approximated using linear or semidefinite program...
A classical theorem in Combinatorial Optimization proves the existence of fully polynomialtime appro...
Combinatorial optimization problems require selecting the best solution from a discrete (albeit ofte...
An extended formulation of a polytope is a linear description of this polytope using extra variables...
International audienceCombinatorial optimization problems serve as models for a great number of real...
AbstractMany combinatorial optimization problems call for the optimization of a linear function over...
Exploring the power of linear programming for combinatorial optimization problems has been recently ...
In order to define a polynomial approximation theory linked to combinatorial optimization closer tha...