AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally, may not exist and can be unstable in the presence of round off error. The use of block diagonal 2×2 pivots is attractive, but there are some difficulties in determining an efficient and stable pivot strategy. Previous suggestions have required O(n>3) operations (either multiplications or comparisons) just to implement the pivot strategy. A new strategy is described which in practice only requires O(n2) operations. Indeed, the effort required by this pivot strategy is less than that required when using partial pivoting with an unsymmetric LU factorization, which is the usual way of factorizing indefinite matrices
This paper illustrates how the communication due to pivoting in the solution of symmetric indefinite...
Abstract. This paper discusses new pivoting factorization methods for solving sparse symmetric inden...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
AbstractFor symmetric indefinite tridiagonal matrices, block LDLT factorization without interchanges...
LAPACK and LINPACK both solve symmetric indefinite linear systems using the diagonal pivoting method...
The increasing number of cores in modern architectures requires the development of new algorithms as...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
Abstract. Maximum weight matchings have become an important tool for solving highly indefinite unsym...
AbstractWe consider the LDLT factorization of sparse skew symmetric matrices. We see that the pivoti...
SUMMARY The LBL T factorization of Bunch for solving linear systems involving a symmetric indefinite...
The performance of a sparse direct solver is dependent upon the pivot sequence that is chosen before...
Indefinite symmetric matrices occur in many applications, such as optimization, least squares proble...
Complex symmetric matrices whose real and imaginary parts are positive definite are shown to have a ...
Incomplete LU-factorizations have been very successful as preconditioners for solving sparse linear ...
This paper illustrates how the communication due to pivoting in the solution of symmetric indefinite...
Abstract. This paper discusses new pivoting factorization methods for solving sparse symmetric inden...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
AbstractFor symmetric indefinite tridiagonal matrices, block LDLT factorization without interchanges...
LAPACK and LINPACK both solve symmetric indefinite linear systems using the diagonal pivoting method...
The increasing number of cores in modern architectures requires the development of new algorithms as...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
Abstract. Maximum weight matchings have become an important tool for solving highly indefinite unsym...
AbstractWe consider the LDLT factorization of sparse skew symmetric matrices. We see that the pivoti...
SUMMARY The LBL T factorization of Bunch for solving linear systems involving a symmetric indefinite...
The performance of a sparse direct solver is dependent upon the pivot sequence that is chosen before...
Indefinite symmetric matrices occur in many applications, such as optimization, least squares proble...
Complex symmetric matrices whose real and imaginary parts are positive definite are shown to have a ...
Incomplete LU-factorizations have been very successful as preconditioners for solving sparse linear ...
This paper illustrates how the communication due to pivoting in the solution of symmetric indefinite...
Abstract. This paper discusses new pivoting factorization methods for solving sparse symmetric inden...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...