AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU factors of a given matrix A. The idea is based on taking the powers of the Boolean matrix derived from A. This powers of a Boolean matrix strategy (PBS) is an efficient, effective, and inexpensive approach. Construction of an ILU preconditioner using PBS is described and used in solving large nonsymmetric sparse linear systems. Effectiveness of the proposed ILU preconditioner in solving large nonsymmetric sparse linear systems by the GMRES method is also shown. Numerical experiments are performed which show that it is possible to considerably reduce the number of GMRES iterations when the ILU preconditioner constructed here is used. In numer...
[EN] In this paper block approximate inverse preconditioners to solve sparse nonsymmetric linear sys...
In recent years, a variety of preconditioners have been proposed for use in solving large sparse li...
Among the iterative methods for solving large linear systems with a sparse (or, possibly, structured...
AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU...
AbstractA new sparse approximate triangular factorization technique for solving large sparse linear ...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
AbstractIn this paper a new ILU factorization preconditioner for solving large sparse linear systems...
a b s t r a c t In this paper a new ILU factorization preconditioner for solving large sparse linear...
AbstractThis paper introduces several strategies to deal with pivot blocks in multi-level block inco...
University of Minnesota Ph.D. dissertation. June 2015. Major: Computer Science. Advisor: Yousef Saad...
The GMRES(m) method is often used to compute Krylov subspace solutions of large sparse linear system...
AbstractIn this work, the solution of a large sparse linear system of equations with an arbitrary sp...
International audienceKrylov methods such as GMRES are efficient iterative methods to solve large sp...
This thesis is concerned with the solution of large nonsymmetric sparse linear systems. The main foc...
AbstractWe develop in this paper a multilevel block ILU preconditioner for solving sparse nonsymmetr...
[EN] In this paper block approximate inverse preconditioners to solve sparse nonsymmetric linear sys...
In recent years, a variety of preconditioners have been proposed for use in solving large sparse li...
Among the iterative methods for solving large linear systems with a sparse (or, possibly, structured...
AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU...
AbstractA new sparse approximate triangular factorization technique for solving large sparse linear ...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
AbstractIn this paper a new ILU factorization preconditioner for solving large sparse linear systems...
a b s t r a c t In this paper a new ILU factorization preconditioner for solving large sparse linear...
AbstractThis paper introduces several strategies to deal with pivot blocks in multi-level block inco...
University of Minnesota Ph.D. dissertation. June 2015. Major: Computer Science. Advisor: Yousef Saad...
The GMRES(m) method is often used to compute Krylov subspace solutions of large sparse linear system...
AbstractIn this work, the solution of a large sparse linear system of equations with an arbitrary sp...
International audienceKrylov methods such as GMRES are efficient iterative methods to solve large sp...
This thesis is concerned with the solution of large nonsymmetric sparse linear systems. The main foc...
AbstractWe develop in this paper a multilevel block ILU preconditioner for solving sparse nonsymmetr...
[EN] In this paper block approximate inverse preconditioners to solve sparse nonsymmetric linear sys...
In recent years, a variety of preconditioners have been proposed for use in solving large sparse li...
Among the iterative methods for solving large linear systems with a sparse (or, possibly, structured...