We consider the use of 1 x 1 and 2x2 pivots for direct solution of sets of linear equations whose matrix is sparse and symmetric. Inclusion of 2 x 2 pivots permits a stable decomposition to be obtained in the indefinite case and we demonstrate that in practice there is little loss of speed even in positive definite cases. A pivotal strategy suitable for the sparse case is proposed and compared experimentally with alternatives. We present an analysis of error, explain how the stability may be monitored cheaply, discuss automatic scaling and consider implementation details. 1
Abstract. We investigate several ways to improve the performance of sparse LU factorization with par...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
In this paper it is investigated which pivots may be processed simultaneously when solving a set of ...
Out-of-core sparse direct solvers reduce the amount of main memory needed to factorize and solve lar...
The performance of a sparse direct solver is dependent upon the pivot sequence that is chosen before...
Solving square linear systems of equations Ax=b is one of the primary workhorses in scientific compu...
AbstractThis paper studies a sparse configuration for a new class of decomposition derived by the au...
Partial pivoting strategies for the decomposition of symmetric matrices are discussed for solving sy...
Analytic expressions for finding fill-in, the number of nonzero elements that change in value, and t...
AbstractThis paper considers the effect of partial pivoting in automatic ordinary differential equat...
AbstractWe consider the LDLT factorization of sparse skew symmetric matrices. We see that the pivoti...
AbstractAccording to the specified goal, that is to say better numerical precision and/or better eff...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
AbstractWe consider systems of equations of the form AATx = b, where A is a sparse matrix having a s...
Abstract. We investigate several ways to improve the performance of sparse LU factorization with par...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...
In this paper it is investigated which pivots may be processed simultaneously when solving a set of ...
Out-of-core sparse direct solvers reduce the amount of main memory needed to factorize and solve lar...
The performance of a sparse direct solver is dependent upon the pivot sequence that is chosen before...
Solving square linear systems of equations Ax=b is one of the primary workhorses in scientific compu...
AbstractThis paper studies a sparse configuration for a new class of decomposition derived by the au...
Partial pivoting strategies for the decomposition of symmetric matrices are discussed for solving sy...
Analytic expressions for finding fill-in, the number of nonzero elements that change in value, and t...
AbstractThis paper considers the effect of partial pivoting in automatic ordinary differential equat...
AbstractWe consider the LDLT factorization of sparse skew symmetric matrices. We see that the pivoti...
AbstractAccording to the specified goal, that is to say better numerical precision and/or better eff...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
AbstractWe consider systems of equations of the form AATx = b, where A is a sparse matrix having a s...
Abstract. We investigate several ways to improve the performance of sparse LU factorization with par...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
For large scale problems in electric circuit simulation as well as in chemical process simulation, t...