The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (dropped) components are orthogonal to the approximations being kept is presented. General estimate for the condition number of the preconditioned system is given which only depends on the accuracy of individual approximations. The estimate is further improved if, for instance, only the newly computed rows of the factor are modified during each approximation step. In this latter case it is further shown to be sharp. The analysis is illustrated with some existing factorizations in the context of discretized elliptic partial differential equations
Numerical experiments are presented whereby the effect of reorderings on the convergence of precondi...
AbstractWe derive simple analytical upper bounds on the spectral condition number associated with th...
. This paper presents a sufficient condition on sparsity patterns for the existence of the incomplet...
The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (d...
. In this chapter, we give a brief overview of a particular class of preconditioners known as incomp...
In this chapter, we give a brief overview of a particular class of preconditioners known as incomple...
The thesis is about the incomplete Cholesky factorization and its va- riants, which are important fo...
This paper proposes, analyzes, and numerically tests methods to assure the existence of incomplete C...
We consider an incomplete Cholesky factorization preconditioner for the iterative solution of large ...
Incomplete factorization has been shown to be a good preconditioner for the conjugate gradient metho...
AbstractThe paper is devoted to the conditioning analysis of modified block incomplete factorization...
We consider the numerical solution of large and sparse linear systems arising from a finite differen...
The paper deals with eigenvalue estimates for block incomplete fac- torization methods for symmetric...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
One successful approach in the design of solution methods for saddle-point problems requires the eff...
Numerical experiments are presented whereby the effect of reorderings on the convergence of precondi...
AbstractWe derive simple analytical upper bounds on the spectral condition number associated with th...
. This paper presents a sufficient condition on sparsity patterns for the existence of the incomplet...
The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (d...
. In this chapter, we give a brief overview of a particular class of preconditioners known as incomp...
In this chapter, we give a brief overview of a particular class of preconditioners known as incomple...
The thesis is about the incomplete Cholesky factorization and its va- riants, which are important fo...
This paper proposes, analyzes, and numerically tests methods to assure the existence of incomplete C...
We consider an incomplete Cholesky factorization preconditioner for the iterative solution of large ...
Incomplete factorization has been shown to be a good preconditioner for the conjugate gradient metho...
AbstractThe paper is devoted to the conditioning analysis of modified block incomplete factorization...
We consider the numerical solution of large and sparse linear systems arising from a finite differen...
The paper deals with eigenvalue estimates for block incomplete fac- torization methods for symmetric...
We describe a novel technique for computing a sparse incomplete factorization of a general symmetric...
One successful approach in the design of solution methods for saddle-point problems requires the eff...
Numerical experiments are presented whereby the effect of reorderings on the convergence of precondi...
AbstractWe derive simple analytical upper bounds on the spectral condition number associated with th...
. This paper presents a sufficient condition on sparsity patterns for the existence of the incomplet...