The Newton scheme is used to construct an approximate inverse preconditioner for the Schur complement. However, this scheme is very expensive because of the computation cost of the matrix-matrix product. In this paper, the computation cost of the Newton scheme is reduced by implementing the preconditioner implicitly using the matrix-vector product. We also show that such an implementation is less expensive than computing the preconditioner explicitly
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...
The Newton scheme is used to construct an approximate inverse preconditioner for the Schur complemen...
AbstractIn this paper, we propose a new implementation of the Newton scheme of an approximate precon...
The recursive construction of Schur-complements is used to construct a multi-level preconditioner fo...
AbstractA method to construct preconditioners to a symmetric, positive definite matrix based on part...
We study two implementation strategies to utilize Schur complement technique in multilevel recursive...
Preconditioners are often conceived as approximate inverses. For nonsingular indefinite matrices of ...
Preconditioners are often conceived as approximate inverses. For nonsingular indefinite matrices of ...
A new class of preconditioners for the iterative solution of the linear systems arising from interio...
The Sherman--Morrison formula is one scheme for computing the approximate inverse preconditioner of ...
The class of preconditioning that approximates the inverse of the matrix A is studied in the thesis....
Many modern numerical simulations give rise to large sparse linear systems of equa-tions that are be...
A major problem in obtaining an e#cient implementation of fully implicit RungeKutta (IRK) methods ap...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...
The Newton scheme is used to construct an approximate inverse preconditioner for the Schur complemen...
AbstractIn this paper, we propose a new implementation of the Newton scheme of an approximate precon...
The recursive construction of Schur-complements is used to construct a multi-level preconditioner fo...
AbstractA method to construct preconditioners to a symmetric, positive definite matrix based on part...
We study two implementation strategies to utilize Schur complement technique in multilevel recursive...
Preconditioners are often conceived as approximate inverses. For nonsingular indefinite matrices of ...
Preconditioners are often conceived as approximate inverses. For nonsingular indefinite matrices of ...
A new class of preconditioners for the iterative solution of the linear systems arising from interio...
The Sherman--Morrison formula is one scheme for computing the approximate inverse preconditioner of ...
The class of preconditioning that approximates the inverse of the matrix A is studied in the thesis....
Many modern numerical simulations give rise to large sparse linear systems of equa-tions that are be...
A major problem in obtaining an e#cient implementation of fully implicit RungeKutta (IRK) methods ap...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
The efficient parallel solution to large sparse linear systems of equations Ax = b is a central issu...