AbstractThe problem of finding the middle of a feasible region defined by solutions to a set of linear inequalities is considered. The solution of this problem is formulated as a primal-dual pair of linear optimization problems whose solutions can be obtained using linear programming computations
In this paper the abstract of the thesis "New Interior Point Algorithms in Linear Programming&...
Linear programs (LPs) are one of the most basic and important classes of constrained optimization pr...
AbstractWe discuss a possibility of the extension of a primal-dual interior-point algorithm suggeste...
AbstractThe problem of finding the middle of a feasible region defined by solutions to a set of line...
This paper describes and analyzes a method for finding nontrivial solutions of the inequality $Ax \g...
Linear programming is now included in algorithm undergraduate and postgraduate courses for computer ...
This paper presents the convergence proof and complexity analysis of an interior-point framework tha...
AbstractAn algorithm is described for finding a feasible point for a system of linear inequalities. ...
Recently primal-dual interior-point methodology has proven to be an effective tool in linear program...
AbstractWe introduce two interior point algorithms for minimizing a convex function subject to linea...
This thesis consists of four independent papers concerningdifferent aspects of interior methods for ...
INTRODUCTION Spring 1995 We consider linear programming problems in the following primal (P ) and ...
In this research, we discuss linear and nonlinear programming problems and methods. We have implemen...
<p><span>The duality principle provides that optimization problems may be viewed from either of two ...
AbstractWe present results on how partial knowledge helps to solve linear programs. In particular, i...
In this paper the abstract of the thesis "New Interior Point Algorithms in Linear Programming&...
Linear programs (LPs) are one of the most basic and important classes of constrained optimization pr...
AbstractWe discuss a possibility of the extension of a primal-dual interior-point algorithm suggeste...
AbstractThe problem of finding the middle of a feasible region defined by solutions to a set of line...
This paper describes and analyzes a method for finding nontrivial solutions of the inequality $Ax \g...
Linear programming is now included in algorithm undergraduate and postgraduate courses for computer ...
This paper presents the convergence proof and complexity analysis of an interior-point framework tha...
AbstractAn algorithm is described for finding a feasible point for a system of linear inequalities. ...
Recently primal-dual interior-point methodology has proven to be an effective tool in linear program...
AbstractWe introduce two interior point algorithms for minimizing a convex function subject to linea...
This thesis consists of four independent papers concerningdifferent aspects of interior methods for ...
INTRODUCTION Spring 1995 We consider linear programming problems in the following primal (P ) and ...
In this research, we discuss linear and nonlinear programming problems and methods. We have implemen...
<p><span>The duality principle provides that optimization problems may be viewed from either of two ...
AbstractWe present results on how partial knowledge helps to solve linear programs. In particular, i...
In this paper the abstract of the thesis "New Interior Point Algorithms in Linear Programming&...
Linear programs (LPs) are one of the most basic and important classes of constrained optimization pr...
AbstractWe discuss a possibility of the extension of a primal-dual interior-point algorithm suggeste...
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