AbstractIn this paper a new ILU factorization preconditioner for solving large sparse linear systems by iterative methods is presented. The factorization which is based on A-biorthogonalization process is well defined for a general positive definite matrix. Numerical experiments illustrating the performance of the preconditioner are presented. A comparison with the well known preconditioner RIFp of Benzi and Tůma is also included
We consider an incomplete Cholesky factorization preconditioner for the iterative solution of large ...
Abstract Incomplete LU factorization preconditioning techniques often have difficulty on indefinite ...
The efficient solution of the normal equations corresponding to a large sparse linear least squares ...
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...
AbstractA new sparse approximate triangular factorization technique for solving large sparse linear ...
AbstractWe present a modification of the ILUT algorithm due to Y. Saad for preparing incomplete fact...
AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU...
In this paper, we study the use of an incomplete Cholesky factorization (ICF) as a preconditioner fo...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
A novel parallel preconditioner for symmetric positive definite matrices is developed coupling a gen...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
New preconditioning strategies for solving m × n overdetermined large and sparse linear least squar...
In this paper a multilevel-like ILU preconditioner is introduced. The ILU factorization generates it...
We consider an incomplete Cholesky factorization preconditioner for the iterative solution of large ...
Abstract Incomplete LU factorization preconditioning techniques often have difficulty on indefinite ...
The efficient solution of the normal equations corresponding to a large sparse linear least squares ...
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...
AbstractA new sparse approximate triangular factorization technique for solving large sparse linear ...
AbstractWe present a modification of the ILUT algorithm due to Y. Saad for preparing incomplete fact...
AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU...
In this paper, we study the use of an incomplete Cholesky factorization (ICF) as a preconditioner fo...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
A novel parallel preconditioner for symmetric positive definite matrices is developed coupling a gen...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
New preconditioning strategies for solving m × n overdetermined large and sparse linear least squar...
In this paper a multilevel-like ILU preconditioner is introduced. The ILU factorization generates it...
We consider an incomplete Cholesky factorization preconditioner for the iterative solution of large ...
Abstract Incomplete LU factorization preconditioning techniques often have difficulty on indefinite ...
The efficient solution of the normal equations corresponding to a large sparse linear least squares ...