In this paper, we present a conjugate gradient method for solving the linear complementarity problem that involves an S-matrix. At each step, we solve a lower-dimensional system of linear equations by conjugate gradient method. The method terminates at the exact solution of the problem after a finite number of iterations. Moreover, the computational complexity of the proposed method is no more than the computational complexity of a conjugate gradient method for solving a system of linear equations. Preliminary numerical experiments show that the method is efficient
AbstractOver the years, many methods for solving the linear complementarity problem (LCP) have been ...
The linear complementarity problem is that of finding an n x 1 vector z such that, Mz + q 2 0, z 2 0...
AbstractIn this paper we introduce s-step Conjugate Gradient Method for Symmetric and Positive Defin...
In this paper, we present a conjugate gradient method for solving the linear complementarity problem...
Based on the conjugate gradient (CG) algorithm, the constrained matrix equation AXB=C and the associ...
International audienceThis paper proposes a generalization of the conjugate gradient (CG) method use...
Este artigo apresenta um algoritmo de dois passos para a resolução numérica de problemas de compleme...
AbstractThe Conjugate Gradient (CG) method and the Conjugate Residual (CR) method are Krylov subspac...
Abstract. This short note is on the derivation and convergence of a popular algorithm for minimizati...
International audienceMany scientific applications require one to solve successively linear systems ...
Abstract-In this paper, we propose two new iterative SAOR methods to solve the linear complementarit...
The linear complementarity problem is receiving a lot of attention and has been studied extensively....
AbstractConjugate gradient type methods are discussed for unsymmetric and inconsistent system of equ...
Many scientific applications require to solve successively linear systems Ax=b with different right-...
AbstractThe development of the Lanczos algorithm for finding eigenvalues of large sparse symmetric m...
AbstractOver the years, many methods for solving the linear complementarity problem (LCP) have been ...
The linear complementarity problem is that of finding an n x 1 vector z such that, Mz + q 2 0, z 2 0...
AbstractIn this paper we introduce s-step Conjugate Gradient Method for Symmetric and Positive Defin...
In this paper, we present a conjugate gradient method for solving the linear complementarity problem...
Based on the conjugate gradient (CG) algorithm, the constrained matrix equation AXB=C and the associ...
International audienceThis paper proposes a generalization of the conjugate gradient (CG) method use...
Este artigo apresenta um algoritmo de dois passos para a resolução numérica de problemas de compleme...
AbstractThe Conjugate Gradient (CG) method and the Conjugate Residual (CR) method are Krylov subspac...
Abstract. This short note is on the derivation and convergence of a popular algorithm for minimizati...
International audienceMany scientific applications require one to solve successively linear systems ...
Abstract-In this paper, we propose two new iterative SAOR methods to solve the linear complementarit...
The linear complementarity problem is receiving a lot of attention and has been studied extensively....
AbstractConjugate gradient type methods are discussed for unsymmetric and inconsistent system of equ...
Many scientific applications require to solve successively linear systems Ax=b with different right-...
AbstractThe development of the Lanczos algorithm for finding eigenvalues of large sparse symmetric m...
AbstractOver the years, many methods for solving the linear complementarity problem (LCP) have been ...
The linear complementarity problem is that of finding an n x 1 vector z such that, Mz + q 2 0, z 2 0...
AbstractIn this paper we introduce s-step Conjugate Gradient Method for Symmetric and Positive Defin...