The behaviour of PCG methods for solving a finite difference or finite element positive definite linear system Ax=b with a (pre)conditioning matrix B=UTP-1U (where U is upper triangular and P=diag(U)) obtained from a modified incomplete factorization, is unpredictable in the present status of knowledge whenever the upper triangular factor is not strictly diagonally dominant and 2 P -D, where D=diag(A), is not symmetric positive definite. The origin of this rather surprising shortcoming of the theory is that all upper bounds on the associated spectral condition number κ(B-1A) obtained so far require either the strict diagonal dominance of the upper triangular factor or the strict positive definiteness of 2 P -D. It is our purpose here to imp...
Abstract. The Preconditioned Conjugate Gradient (PCG) method has proven to be extremely powerful for...
Abstract: In the paper we consider the iterative solution of linear systemby the conjugate...
. This paper presents a sufficient condition on sparsity patterns for the existence of the incomplet...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
Scattered data interpolation using Radial Basis Functions involves solving an ill-conditioned symmet...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
AbstractThe conditioning analysis of positive definite matrices by approximate LU factorizations is ...
A new multilevel preconditioner is proposed for the iterative solution of linear systems whose coeff...
Abstract: Some earlier and newly developed parallel versions of the stabilized 2nd order i...
AbstractThe restrictively preconditioned conjugate gradient (RPCG) method for solving large sparse s...
Preconditioning by approximate factorizations is widely used in iterative methods for solving linear...
. We extend graph embedding techniques for bounding the spectral condition number of preconditioned...
In this chapter, we give a brief overview of a particular class of preconditioners known as incomple...
In this paper, we study the use of an incomplete Cholesky factorization (ICF) as a preconditioner fo...
This paper proposes, analyzes, and numerically tests methods to assure the existence of incomplete C...
Abstract. The Preconditioned Conjugate Gradient (PCG) method has proven to be extremely powerful for...
Abstract: In the paper we consider the iterative solution of linear systemby the conjugate...
. This paper presents a sufficient condition on sparsity patterns for the existence of the incomplet...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
Scattered data interpolation using Radial Basis Functions involves solving an ill-conditioned symmet...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
AbstractThe conditioning analysis of positive definite matrices by approximate LU factorizations is ...
A new multilevel preconditioner is proposed for the iterative solution of linear systems whose coeff...
Abstract: Some earlier and newly developed parallel versions of the stabilized 2nd order i...
AbstractThe restrictively preconditioned conjugate gradient (RPCG) method for solving large sparse s...
Preconditioning by approximate factorizations is widely used in iterative methods for solving linear...
. We extend graph embedding techniques for bounding the spectral condition number of preconditioned...
In this chapter, we give a brief overview of a particular class of preconditioners known as incomple...
In this paper, we study the use of an incomplete Cholesky factorization (ICF) as a preconditioner fo...
This paper proposes, analyzes, and numerically tests methods to assure the existence of incomplete C...
Abstract. The Preconditioned Conjugate Gradient (PCG) method has proven to be extremely powerful for...
Abstract: In the paper we consider the iterative solution of linear systemby the conjugate...
. This paper presents a sufficient condition on sparsity patterns for the existence of the incomplet...