The support of a vector is the number of nonzero-components. We show that given an integral m×n matrix A, the integer linear optimization problem max{cTx:Ax=b,x≥0,x∈Zn} has an optimal solution whose support is bounded by 2mlog(2m−−√∥A∥∞), where ∥A∥∞ is the largest absolute value of an entry of A. Compared to previous bounds, the one presented here is independent on the objective function. We furthermore provide a nearly matching asymptotic lower bound on the support of optimal solutions
In the classic Integer Programming (IP) problem, the objective is to decide whether, for a given m x...
In the classic Integer Programming Feasibility (IPF) problem, the objective is to decide whether, fo...
International audienceGiven a vector y ∈ R n and a matrix H ∈ R n×m , the sparse approximation probl...
The support of a vector is the number of nonzero-components. We show that given an integral m×n matr...
The support of a vector is the number of nonzero-components. We show that given an integral m×n matr...
The support of a vector is the number of nonzero-components. We show that given an integral m×n matr...
The support of a vector is the number of nonzero components. We show that given an integral mxn matr...
The support of a vector is the number of nonzero components. We show that given anintegral m×n matri...
We study the support of optimal solutions of integer linear programs (ILP) that are of the form $\{\...
We examine how sparse feasible solutions of integer programs are, on average. Average case here mean...
AbstractMax-linear programs have been used to describe optimisation problems for multiprocessor inte...
AbstractWe consider combinatorial optimization problems with a feasible solution set S⊆{0,1}n specif...
This thesis deals with the existence and description of integer solutions to max-linear systems. It ...
We consider combinatorial optimization problems with a feasible solution set S[subset of or equal to...
In this article we study convex integer maximization problems with com-posite objective functions of...
In the classic Integer Programming (IP) problem, the objective is to decide whether, for a given m x...
In the classic Integer Programming Feasibility (IPF) problem, the objective is to decide whether, fo...
International audienceGiven a vector y ∈ R n and a matrix H ∈ R n×m , the sparse approximation probl...
The support of a vector is the number of nonzero-components. We show that given an integral m×n matr...
The support of a vector is the number of nonzero-components. We show that given an integral m×n matr...
The support of a vector is the number of nonzero-components. We show that given an integral m×n matr...
The support of a vector is the number of nonzero components. We show that given an integral mxn matr...
The support of a vector is the number of nonzero components. We show that given anintegral m×n matri...
We study the support of optimal solutions of integer linear programs (ILP) that are of the form $\{\...
We examine how sparse feasible solutions of integer programs are, on average. Average case here mean...
AbstractMax-linear programs have been used to describe optimisation problems for multiprocessor inte...
AbstractWe consider combinatorial optimization problems with a feasible solution set S⊆{0,1}n specif...
This thesis deals with the existence and description of integer solutions to max-linear systems. It ...
We consider combinatorial optimization problems with a feasible solution set S[subset of or equal to...
In this article we study convex integer maximization problems with com-posite objective functions of...
In the classic Integer Programming (IP) problem, the objective is to decide whether, for a given m x...
In the classic Integer Programming Feasibility (IPF) problem, the objective is to decide whether, fo...
International audienceGiven a vector y ∈ R n and a matrix H ∈ R n×m , the sparse approximation probl...