AbstractAn incomplete LU decomposition with pivoting is presented that progressively monitors the growth of the inverse factors of L,U. The information on the growth of the inverse factors is used as feedback for dropping entries in L and U. This method often yields a robust and effective preconditioner especially when the system is highly indefinite. Numerical examples demonstrate the effectiveness of this approach
A technique for computing an ILU preconditioner based on the factored approximate inverse (FAPINV) a...
AbstractThis paper presents a class of preconditioning techniques which exploit rational function ap...
Abstract. This paper gives sensitivity analyses by two approaches for L and U in the factor-ization ...
AbstractAn incomplete LU decomposition with pivoting is presented that progressively monitors the gr...
AbstractIn this paper, we use a complete pivoting strategy for the right-looking version of Robust I...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
We present a new supernode-based incomplete LU factorization method to construct a preconditioner fo...
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduc...
In this paper we present a safe and efficient way of dropping for those class of ILU factorizations ...
Incomplete LU factorization is a valuable preconditioning approach for sparse iterative solvers. An ...
In this article, we present several new permutations for I-matrices making these more suitable for i...
AbstractThis paper introduces several strategies to deal with pivot blocks in multi-level block inco...
We present a new method for the a priori approximation of the orders of magnitude of the entries in ...
Incomplete LU (ILU) factorizations are popular preconditioning techniques for solving large linear s...
We present the LU decomposition with panel rank revealing pivoting (LU_PRRP), an LU factorization al...
A technique for computing an ILU preconditioner based on the factored approximate inverse (FAPINV) a...
AbstractThis paper presents a class of preconditioning techniques which exploit rational function ap...
Abstract. This paper gives sensitivity analyses by two approaches for L and U in the factor-ization ...
AbstractAn incomplete LU decomposition with pivoting is presented that progressively monitors the gr...
AbstractIn this paper, we use a complete pivoting strategy for the right-looking version of Robust I...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
We present a new supernode-based incomplete LU factorization method to construct a preconditioner fo...
the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduc...
In this paper we present a safe and efficient way of dropping for those class of ILU factorizations ...
Incomplete LU factorization is a valuable preconditioning approach for sparse iterative solvers. An ...
In this article, we present several new permutations for I-matrices making these more suitable for i...
AbstractThis paper introduces several strategies to deal with pivot blocks in multi-level block inco...
We present a new method for the a priori approximation of the orders of magnitude of the entries in ...
Incomplete LU (ILU) factorizations are popular preconditioning techniques for solving large linear s...
We present the LU decomposition with panel rank revealing pivoting (LU_PRRP), an LU factorization al...
A technique for computing an ILU preconditioner based on the factored approximate inverse (FAPINV) a...
AbstractThis paper presents a class of preconditioning techniques which exploit rational function ap...
Abstract. This paper gives sensitivity analyses by two approaches for L and U in the factor-ization ...