Incomplete LU-factorizations have been very successful as preconditioners for solving sparse linear systems iteratively. How-ever, for unsymmetric, indefinite systems small pivots (or even zero pivots) are often very detrimental to the quality of the preconditioner. A fairly recent strategy to deal with this problem has been to permute the rows of the matrix and to scale rows and columns to produce an I-matrix, a matrix having elements of modulus one on the diagonal and elements of at most modulus one elsewhere. These matrices are generally more suited for incomplete LU-factorization. I-matrices are preserved by symmetric permutation, i.e. by applying the same permutation to rows and columns of a matrix. We discuss different approaches for ...
AbstractResults are given concerning the LU factorization of H-matrices, and Gaussian elimination wi...
Abstract. We investigate several ways to improve the performance of sparse LU factorization with par...
We transform and partition the symmetric indefinite (saddle point) matrices into a block structure w...
In this article, we present several new permutations for I-matrices making these more suitable for i...
In this article, we present several new permutations for I-matrices making these more suitable for i...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
Standard preconditioners, like incomplete factorizations, perform well when the coefficient matrix i...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
Abstract Incomplete LU factorization preconditioning techniques often have difficulty on indefinite ...
Abstract. Limited-memory incomplete Cholesky factorizations can provide robust precondi-tioners for ...
Abstract. Incomplete LU factorization preconditioning techniques often have difficulty on indefinite...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
We present a new supernode-based incomplete LU factorization method to construct a preconditioner fo...
Abstract. Maximum weight matchings have become an important tool for solving highly indefinite unsym...
We present a new method for the a priori approximation of the orders of magnitude of the entries in ...
AbstractResults are given concerning the LU factorization of H-matrices, and Gaussian elimination wi...
Abstract. We investigate several ways to improve the performance of sparse LU factorization with par...
We transform and partition the symmetric indefinite (saddle point) matrices into a block structure w...
In this article, we present several new permutations for I-matrices making these more suitable for i...
In this article, we present several new permutations for I-matrices making these more suitable for i...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
Standard preconditioners, like incomplete factorizations, perform well when the coefficient matrix i...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
Abstract Incomplete LU factorization preconditioning techniques often have difficulty on indefinite ...
Abstract. Limited-memory incomplete Cholesky factorizations can provide robust precondi-tioners for ...
Abstract. Incomplete LU factorization preconditioning techniques often have difficulty on indefinite...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
We present a new supernode-based incomplete LU factorization method to construct a preconditioner fo...
Abstract. Maximum weight matchings have become an important tool for solving highly indefinite unsym...
We present a new method for the a priori approximation of the orders of magnitude of the entries in ...
AbstractResults are given concerning the LU factorization of H-matrices, and Gaussian elimination wi...
Abstract. We investigate several ways to improve the performance of sparse LU factorization with par...
We transform and partition the symmetric indefinite (saddle point) matrices into a block structure w...