The feasibility problem for a system of linear inequalities can be converted into an unconstrained optimization problem using ideas from the ellipsoid method, which can be viewed as a very simple minimization technique for the resulting nonlinear function. Using more sophisticated algorithms, we develop and investigate more efficient methods, which lead to two kinds of weighted centers for the feasible set. With these centers, we develop new algorithms for solving linear programming problems
An algorithm that solves a linear program by using planes exterior to the feasible region is descri...
ABSTRACT. Let R be the convex subset of IRn defined by q simultaneous linear matrix in-equalities (L...
We reconsider the ellipsoid method for linear inequalities. Using the ellipsoid representation of Bu...
Abstract. The feasibility problem for a system of linear inequalities can be converted into an uncon...
. The feasibility problem for a system of linear inequalities can be converted into an unconstrained...
In the paper of Liao and Todd [3] two weighted centers are introduced and used to design algorithms ...
In this paper, we study Ellipsoid method and modified Ellipsoid method in order to find a point whic...
The notion of weighted centers is essential in V-space interior-point algorithms for linear programm...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
150 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1992.We present four algorithms th...
[[abstract]]Given n demand points with positive weights on the plane, the weightedrectilinearm-cente...
The ellipsoid method is an algorithm that solves the (weak) feasibility and linear optimization prob...
This thesis consists of four independent papers concerningdifferent aspects of interior methods for ...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
An algorithm that solves a linear program by using planes exterior to the feasible region is descri...
ABSTRACT. Let R be the convex subset of IRn defined by q simultaneous linear matrix in-equalities (L...
We reconsider the ellipsoid method for linear inequalities. Using the ellipsoid representation of Bu...
Abstract. The feasibility problem for a system of linear inequalities can be converted into an uncon...
. The feasibility problem for a system of linear inequalities can be converted into an unconstrained...
In the paper of Liao and Todd [3] two weighted centers are introduced and used to design algorithms ...
In this paper, we study Ellipsoid method and modified Ellipsoid method in order to find a point whic...
The notion of weighted centers is essential in V-space interior-point algorithms for linear programm...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
150 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1992.We present four algorithms th...
[[abstract]]Given n demand points with positive weights on the plane, the weightedrectilinearm-cente...
The ellipsoid method is an algorithm that solves the (weak) feasibility and linear optimization prob...
This thesis consists of four independent papers concerningdifferent aspects of interior methods for ...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
An algorithm that solves a linear program by using planes exterior to the feasible region is descri...
ABSTRACT. Let R be the convex subset of IRn defined by q simultaneous linear matrix in-equalities (L...
We reconsider the ellipsoid method for linear inequalities. Using the ellipsoid representation of Bu...