SUMMARY The LBL T factorization of Bunch for solving linear systems involving a symmetric indefinite tridiagonal matrix T is a stable, efficient method. It computes a unit lower triangular matrix L and a block 1 × 1 and 2 × 2 matrix B such that T = LBL T . Choosing the pivot size requires knowing a priori the largest element σ of T in magnitude. In some applications, it is required to factor T as it is formed without necessarily knowing σ. In this paper, we present a modification of the Bunch algorithm that can satisfy this requirement. We demonstrate that this modification exhibits the same bound on the growth factor as the Bunch algorithm and is likewise normwise backward stable
AbstractThe same number of parameters determine a tridiagonal matrix T and its triangular factors L,...
This paper illustrates how the communication due to pivoting in the solution of symmetric indefinite...
International audienceWe present a novel recursive algorithm for reducing a symmetric matrix to a tr...
AbstractFor symmetric indefinite tridiagonal matrices, block LDLT factorization without interchanges...
We consider the $LBL^T$ factorization of a symmetric matrix where $L$ is unit lower triangular and ...
AbstractThe existence of block LU factorization without pivoting for complex symmetric block tridiag...
In this paper we present three different pivoting strategies for solving general tridiagonal systems...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
AbstractNon-symmetric and symmetric twisted block factorizations of block tridiagonal matrices are d...
We call a matrix triadic if it has no more than two nonzero off-diagonal elements in any column. A...
LAPACK and LINPACK both solve symmetric indefinite linear systems using the diagonal pivoting method...
Complex symmetric matrices whose real and imaginary parts are positive definite are shown to have a ...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
this paper, the wrap-around partitioning methodology, originally proposed by Hegland [1], is conside...
We combine the idea of the direct LU factorization with the idea of the pivoting strategy in the usu...
AbstractThe same number of parameters determine a tridiagonal matrix T and its triangular factors L,...
This paper illustrates how the communication due to pivoting in the solution of symmetric indefinite...
International audienceWe present a novel recursive algorithm for reducing a symmetric matrix to a tr...
AbstractFor symmetric indefinite tridiagonal matrices, block LDLT factorization without interchanges...
We consider the $LBL^T$ factorization of a symmetric matrix where $L$ is unit lower triangular and ...
AbstractThe existence of block LU factorization without pivoting for complex symmetric block tridiag...
In this paper we present three different pivoting strategies for solving general tridiagonal systems...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
AbstractNon-symmetric and symmetric twisted block factorizations of block tridiagonal matrices are d...
We call a matrix triadic if it has no more than two nonzero off-diagonal elements in any column. A...
LAPACK and LINPACK both solve symmetric indefinite linear systems using the diagonal pivoting method...
Complex symmetric matrices whose real and imaginary parts are positive definite are shown to have a ...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
this paper, the wrap-around partitioning methodology, originally proposed by Hegland [1], is conside...
We combine the idea of the direct LU factorization with the idea of the pivoting strategy in the usu...
AbstractThe same number of parameters determine a tridiagonal matrix T and its triangular factors L,...
This paper illustrates how the communication due to pivoting in the solution of symmetric indefinite...
International audienceWe present a novel recursive algorithm for reducing a symmetric matrix to a tr...