We propose a method for accelerating iterative algorithms for solving symmetric linear complementarity problems. The method consists in performing a one-dimensional optimization in the direction generated by a splitting method even for non-descent directions. We give strong convergence proofs and present numerical experiments that justify using this acceleration
For solving linear complementarity problems LCP more attention has recently been paid on a class of ...
Abstract In this paper, we propose a feasible interior-point algorithm for mixed symmetric cone line...
We discuss a recent convergence of notions of symmetric computation arising in the theory of linear ...
We consider iterative methods using splittings for solving symmetric positive semidefinite linear co...
A unified treatment is given for iterative algorithms for the solution of the symmetric 1inear compl...
We consider a matrix splitting algorithm for the linear complementarity problem where the matrix is ...
AbstractOver the years, many methods for solving the linear complementarity problem (LCP) have been ...
Cover title.Includes bibliographical references (p. 45-48).Partially supported by the U.S. Army Rese...
In this paper, we propose two splitting methods for solving horizontal linear complementarity proble...
We consider the solution of large and sparse linearly constrained quadratic programming problems by ...
A parallel successive overrelaxation (SOR) method is proposed for the solution of the fundamental sy...
AbstractWe present an inexact multisplitting method for solving the linear complementarity problems,...
AbstractIt is shown that Mangasarian's general iterative algorithm for solving the symmetric linear ...
In this talk an infeasible full Nesterov-Todd step interior-point method for Linear Complementarity ...
An iterative scheme is given for solving the linear complementarity problem x> 0, Mx + q> 0, x...
For solving linear complementarity problems LCP more attention has recently been paid on a class of ...
Abstract In this paper, we propose a feasible interior-point algorithm for mixed symmetric cone line...
We discuss a recent convergence of notions of symmetric computation arising in the theory of linear ...
We consider iterative methods using splittings for solving symmetric positive semidefinite linear co...
A unified treatment is given for iterative algorithms for the solution of the symmetric 1inear compl...
We consider a matrix splitting algorithm for the linear complementarity problem where the matrix is ...
AbstractOver the years, many methods for solving the linear complementarity problem (LCP) have been ...
Cover title.Includes bibliographical references (p. 45-48).Partially supported by the U.S. Army Rese...
In this paper, we propose two splitting methods for solving horizontal linear complementarity proble...
We consider the solution of large and sparse linearly constrained quadratic programming problems by ...
A parallel successive overrelaxation (SOR) method is proposed for the solution of the fundamental sy...
AbstractWe present an inexact multisplitting method for solving the linear complementarity problems,...
AbstractIt is shown that Mangasarian's general iterative algorithm for solving the symmetric linear ...
In this talk an infeasible full Nesterov-Todd step interior-point method for Linear Complementarity ...
An iterative scheme is given for solving the linear complementarity problem x> 0, Mx + q> 0, x...
For solving linear complementarity problems LCP more attention has recently been paid on a class of ...
Abstract In this paper, we propose a feasible interior-point algorithm for mixed symmetric cone line...
We discuss a recent convergence of notions of symmetric computation arising in the theory of linear ...