This release features code to compute the relaxation complexity rc(X,Y) of a set X with respect to a set Y. The corresponding SCIP code consists of three models: a compact model, a separation-based model, and a branch-and-price model. The models can be enhanced by propagation and symmetry handling techniques as well as heuristics
Abstract. Set constraints are relations between sets of terms. They have been used extensively in va...
Networks of constraints are a simple knowledge representation method, useful for describing those pr...
International audienceWe provide formulas for the optimal solution set of various relaxed optimizati...
This release features code to compute the relaxation complexity rc(X,Y) of a set X with respect to a...
This release features code to compute the relaxation complexity rc(X,Y) of a set X with respect to a...
The relaxation complexity rc(X) of the set of integer points X contained in a polyhedron is the mini...
The relaxation complexity rc(X) of the set of integer points X contained in a polyhedron is the smal...
Consider the problem of classical CSP relaxation. A CSP P ′ is a ‘relaxed ’ version of P if each con...
A discrete problem can be relaxed by taking the continuous relaxation of an integer programming form...
In this chapter, we present the integration of various forms of problem relaxation in Constraint Pr...
AbstractIn this paper, we consider the set partitioning polytope and we begin by applying the reform...
Set constraints are relations between sets of terms. They have been used extensively in various app...
Lovász and Schrijver [LS91] devised a lift-and-project method that produces a sequence of convex rel...
International audienceThe computational complexity of the constraint satisfaction problem (CSP) with...
Relax-and-Cut algorithms offer an alternative to strengthen Lagrangian relaxation bounds. The main i...
Abstract. Set constraints are relations between sets of terms. They have been used extensively in va...
Networks of constraints are a simple knowledge representation method, useful for describing those pr...
International audienceWe provide formulas for the optimal solution set of various relaxed optimizati...
This release features code to compute the relaxation complexity rc(X,Y) of a set X with respect to a...
This release features code to compute the relaxation complexity rc(X,Y) of a set X with respect to a...
The relaxation complexity rc(X) of the set of integer points X contained in a polyhedron is the mini...
The relaxation complexity rc(X) of the set of integer points X contained in a polyhedron is the smal...
Consider the problem of classical CSP relaxation. A CSP P ′ is a ‘relaxed ’ version of P if each con...
A discrete problem can be relaxed by taking the continuous relaxation of an integer programming form...
In this chapter, we present the integration of various forms of problem relaxation in Constraint Pr...
AbstractIn this paper, we consider the set partitioning polytope and we begin by applying the reform...
Set constraints are relations between sets of terms. They have been used extensively in various app...
Lovász and Schrijver [LS91] devised a lift-and-project method that produces a sequence of convex rel...
International audienceThe computational complexity of the constraint satisfaction problem (CSP) with...
Relax-and-Cut algorithms offer an alternative to strengthen Lagrangian relaxation bounds. The main i...
Abstract. Set constraints are relations between sets of terms. They have been used extensively in va...
Networks of constraints are a simple knowledge representation method, useful for describing those pr...
International audienceWe provide formulas for the optimal solution set of various relaxed optimizati...
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