A technique for computing an ILU preconditioner based on the factored approximate inverse (FAPINV) algorithm is presented. We show that this algorithm is well-defined for H-matrices. Moreover, when used in conjunction with Krylov-subspace-based iterative solvers such as the GMRES algorithm, results in reliable solvers. Numerical experiments on some test matrices are given to show the efficiency of the new ILU preconditioner
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...
Although some preconditioners are available for solving dense linear systems, there are still many m...
AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU...
Tyt. z nagłówka.Bibliogr. s. 248-249.A technique for computing an ILU preconditioner based on the fa...
The class of preconditioning that approximates the inverse of the matrix A is studied in the thesis....
Iterative ILU factorizations are constructed, analyzed and applied as preconditioners to solve both ...
Incomplete LU (ILU) preconditioning is typically used when an iterative solver is applied on an asym...
For a fast simulation of interconnect structures we consider preconditioned iterative solution metho...
A novel parallel preconditioner for symmetric positive definite matrices is developed coupling a gen...
A novel parallel preconditioner combining a generalized Factored Sparse Approximate Inverse (FSAI) w...
In this paper we consider the Krylov subspace based method introduced in [Fasano, 2005a], for iterat...
We investigate the use of sparse approximate inverse techniques in a multilevel block ILU preconditi...
a b s t r a c t In this paper a new ILU factorization preconditioner for solving large sparse linear...
Simulation with models based on partial differential equations often requires the solution of (seque...
The popularity of GPGPUs in high performance platforms for scientific computing in recent times has...
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...
Although some preconditioners are available for solving dense linear systems, there are still many m...
AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU...
Tyt. z nagłówka.Bibliogr. s. 248-249.A technique for computing an ILU preconditioner based on the fa...
The class of preconditioning that approximates the inverse of the matrix A is studied in the thesis....
Iterative ILU factorizations are constructed, analyzed and applied as preconditioners to solve both ...
Incomplete LU (ILU) preconditioning is typically used when an iterative solver is applied on an asym...
For a fast simulation of interconnect structures we consider preconditioned iterative solution metho...
A novel parallel preconditioner for symmetric positive definite matrices is developed coupling a gen...
A novel parallel preconditioner combining a generalized Factored Sparse Approximate Inverse (FSAI) w...
In this paper we consider the Krylov subspace based method introduced in [Fasano, 2005a], for iterat...
We investigate the use of sparse approximate inverse techniques in a multilevel block ILU preconditi...
a b s t r a c t In this paper a new ILU factorization preconditioner for solving large sparse linear...
Simulation with models based on partial differential equations often requires the solution of (seque...
The popularity of GPGPUs in high performance platforms for scientific computing in recent times has...
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...
Although some preconditioners are available for solving dense linear systems, there are still many m...
AbstractThe main idea of this paper is in determination of the pattern of nonzero elements of the LU...