We derive an important property for solving large-scale integer pro-grams by examining the master problem in Dantzig–Wolfe decomposition. In particular, we prove that if a linear program can be divided into subproblems with affinely independent corner points, then there is a direct mapping be-tween basic feasible solutions in the master and original problems. This has implications for integer programs where the feasible region has integer corner points, ensuring that integer solutions to the original problem will be found even through the decomposition approach. An application to air traffic flow scheduling, which motivated this result, is highlighted
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
In chapter 26 of his book, George Dantzig presented side by side (i) a number of difficult mathemati...
It is shown how the dual of Fourier–Motzkin elimination can be applied to eliminating the constraint...
Dantzig-Wolfe decomposition as applied to an integer program is a specific form of problem reformula...
The Dantzig-Wolfe decomposition has been extended to Integer Linear Programming (ILP) and Mixed Inte...
AbstractWe present a set of LP problems, each of which illustrates a particular numerical feature of...
AbstractThe computational difficulties that continue to plague decomposition algorithms, namely, “lo...
30 pagesMany practical problems are modelled by integer programs. The difficulty of their resolution...
International audienceWe propose in this paper a new Dantzig-Wolfe master model based on Lagrangian ...
This paper deals with an algorithm which incorporates the interior point method into the Dantzig-Wol...
Integer programming is a powerful modeling tool for a variety of decision making problems such as i...
AbstractIt is shown how the dual of Fourier–Motzkin elimination can be applied to eliminating the co...
Abstract. In random allocation rules, typically first an optimal frac-tional point is calculated via...
AbstractIn this article we study a broad class of integer programming problems in variable dimension...
Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-know...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
In chapter 26 of his book, George Dantzig presented side by side (i) a number of difficult mathemati...
It is shown how the dual of Fourier–Motzkin elimination can be applied to eliminating the constraint...
Dantzig-Wolfe decomposition as applied to an integer program is a specific form of problem reformula...
The Dantzig-Wolfe decomposition has been extended to Integer Linear Programming (ILP) and Mixed Inte...
AbstractWe present a set of LP problems, each of which illustrates a particular numerical feature of...
AbstractThe computational difficulties that continue to plague decomposition algorithms, namely, “lo...
30 pagesMany practical problems are modelled by integer programs. The difficulty of their resolution...
International audienceWe propose in this paper a new Dantzig-Wolfe master model based on Lagrangian ...
This paper deals with an algorithm which incorporates the interior point method into the Dantzig-Wol...
Integer programming is a powerful modeling tool for a variety of decision making problems such as i...
AbstractIt is shown how the dual of Fourier–Motzkin elimination can be applied to eliminating the co...
Abstract. In random allocation rules, typically first an optimal frac-tional point is calculated via...
AbstractIn this article we study a broad class of integer programming problems in variable dimension...
Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-know...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
In chapter 26 of his book, George Dantzig presented side by side (i) a number of difficult mathemati...
It is shown how the dual of Fourier–Motzkin elimination can be applied to eliminating the constraint...