AbstractAn algorithm is described for finding a feasible point for a system of linear inequalities. If the solution set has nonempty interior, termination occurs after a finite number of iterations. The algorithm is a projection-type method, similar to the relaxation methods of Agmon, Motzkin, and Schoenberg. It differs from the previous methods in that it solves for a certain “dual” solution in addition to a primal solution
This paper presents a feasible primal algorithm for linear semidefinite programming. The algorithm s...
summary:A direct projection method for solving systems of linear algebraic equations is described. T...
International audienceThe effectiveness of projection methods for solving systems of linear inequali...
AbstractAn algorithm previously introduced by the author for finding a feasible point of a system of...
The problem of finding a feasible solution to a linear inequality system arises in numerous contexts...
AbstractThe problem of finding the middle of a feasible region defined by solutions to a set of line...
This paper presents the convergence proof and complexity analysis of an interior-point framework tha...
A new initialization or `Phase I' strategy for feasible interior point methods for linear programmin...
Infeasible-Interior-Point Primal-Dual Potential-Reduction Algorithms for Linear Programmin
AbstractThis paper discusses the solving methods for nonlinear systems. Firstly, basing on the techn...
This paper presents an algorithm for finding feasible solutions of linear matrix inequalities. The a...
AbstractIn this paper, we suggest and analyze two projection methods (one implicit and one explicit)...
AbstractThe solution of linear systems of equations using various projection algorithms is considere...
A primal-dual interior point algorithm for solving general nonlinear programming problems is present...
We consider a general system of equilibrium type problems which can be viewed as an extension of Lag...
This paper presents a feasible primal algorithm for linear semidefinite programming. The algorithm s...
summary:A direct projection method for solving systems of linear algebraic equations is described. T...
International audienceThe effectiveness of projection methods for solving systems of linear inequali...
AbstractAn algorithm previously introduced by the author for finding a feasible point of a system of...
The problem of finding a feasible solution to a linear inequality system arises in numerous contexts...
AbstractThe problem of finding the middle of a feasible region defined by solutions to a set of line...
This paper presents the convergence proof and complexity analysis of an interior-point framework tha...
A new initialization or `Phase I' strategy for feasible interior point methods for linear programmin...
Infeasible-Interior-Point Primal-Dual Potential-Reduction Algorithms for Linear Programmin
AbstractThis paper discusses the solving methods for nonlinear systems. Firstly, basing on the techn...
This paper presents an algorithm for finding feasible solutions of linear matrix inequalities. The a...
AbstractIn this paper, we suggest and analyze two projection methods (one implicit and one explicit)...
AbstractThe solution of linear systems of equations using various projection algorithms is considere...
A primal-dual interior point algorithm for solving general nonlinear programming problems is present...
We consider a general system of equilibrium type problems which can be viewed as an extension of Lag...
This paper presents a feasible primal algorithm for linear semidefinite programming. The algorithm s...
summary:A direct projection method for solving systems of linear algebraic equations is described. T...
International audienceThe effectiveness of projection methods for solving systems of linear inequali...