AbstractA new graph model is presented to study the row annihilation and row ordering problems in the QR decomposition of sparse matrices using Givens rotations. The graph-theoretic results obtained can be used to derive good row orderings for certain column orderings, such as width-1 and width-2 nested dissection orderings. This model is different from the bipartite-graph model introduced in [6]. We refer to the new model as implicit because the rows are not represented explicitly by nodes, in contrast to the bipartite-graph model, where the rows are represented by nodes in a bipartite graph
This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Compute...
Graph partitioning is a fundamental problem in several scientific and engineering applications. In t...
We present a novel method for graph partitioning, based on reinforcement learning and graph convolut...
AbstractA new graph model is presented to study the row annihilation and row ordering problems in th...
AbstractLet A be an m-by-n matrix, m⩾n, and let Pr and Pc be permutation matrices of order m and n r...
AbstractIn [7,8], we showed that a good row ordering can be obtained from a width-1 nested-dissectio...
AbstractIn [7,8], we showed that a good row ordering can be obtained from a width-1 nested-dissectio...
AbstractLet A be an m-by-n matrix, m⩾n, and let Pr and Pc be permutation matrices of order m and n r...
. Computing a fill-reducing ordering of a sparse matrix is a central problem in the solution of spar...
The excellent research in the area of sparse derivative matrix determination over the last three dec...
This work investigates the problem of permuting a sparse rectangular matrix into block diagonal form...
This work investigates the problem of permuting a sparse rectangular matrix into block diagonal form...
Orthogonal Givens factorization is a popular method for solving large sparse least squares problems....
We discuss the use of hypergraph partitioning based methods in fill-reducing orderings of sparse mat...
We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by ...
This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Compute...
Graph partitioning is a fundamental problem in several scientific and engineering applications. In t...
We present a novel method for graph partitioning, based on reinforcement learning and graph convolut...
AbstractA new graph model is presented to study the row annihilation and row ordering problems in th...
AbstractLet A be an m-by-n matrix, m⩾n, and let Pr and Pc be permutation matrices of order m and n r...
AbstractIn [7,8], we showed that a good row ordering can be obtained from a width-1 nested-dissectio...
AbstractIn [7,8], we showed that a good row ordering can be obtained from a width-1 nested-dissectio...
AbstractLet A be an m-by-n matrix, m⩾n, and let Pr and Pc be permutation matrices of order m and n r...
. Computing a fill-reducing ordering of a sparse matrix is a central problem in the solution of spar...
The excellent research in the area of sparse derivative matrix determination over the last three dec...
This work investigates the problem of permuting a sparse rectangular matrix into block diagonal form...
This work investigates the problem of permuting a sparse rectangular matrix into block diagonal form...
Orthogonal Givens factorization is a popular method for solving large sparse least squares problems....
We discuss the use of hypergraph partitioning based methods in fill-reducing orderings of sparse mat...
We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by ...
This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Compute...
Graph partitioning is a fundamental problem in several scientific and engineering applications. In t...
We present a novel method for graph partitioning, based on reinforcement learning and graph convolut...