AbstractAn m × n zero-nonzero pattern A with the Hall property allows a full rank matrix A ϵ A with a QR factorization. The union of patterns occurring in Q over all such A is denoted by Q. By further restricting A to have the strong Hall property, a Hasse diagram that is a forest is used to characterize patterns A that yield Q = A, thus preserving the sparsity of A. For fixed n, the sparsest n × n such patterns are characterized by a binary rooted tree
Given a rectangular matrix with more columns than rows, find a base of linear combinations of the ro...
Nonnegative Matrix Factorization (NMF) is a standard tool for data analysis. An important variant i...
Transformations of sparse linear systems by row-column permutations are considered and various algor...
AbstractIn the factorization A = QR of a sparse matrix A, the orthogonal matrix Q can be represented...
In QR factorization of a sparse m{times}n matrix A (m {ge} n) the orthogonal factor Q is often store...
AbstractIn the factorization A = QR of a sparse matrix A, the orthogonal matrix Q can be represented...
AbstractThe problem of correctly predicting the structures of the orthogonal factors Q and R from th...
AbstractConsider the problem of sparsifying a rectangular matrix with more columns than rows. This m...
The excellent research in the area of sparse derivative matrix determination over the last three dec...
AbstractWe describe how to maintain the triangular factor of a sparse QR factorization when columns ...
AbstractThe sparsity of orthogonal matrices which have k⩾1 columns of nonzeros is studied. It is sho...
Sparse matrix factorization is the problem of approximating a matrix $\mathbf{Z}$ by a product of $J...
Abstra t. We present algorithms to determine the number of nonzeros in ea h row and olumn of the fa...
AbstractIn an earlier paper we introduced the classes of polynomial and rank structures, both of the...
AbstractThe least number of nonzero entries among thembynconnected, row-orthogonal matrices is deter...
Given a rectangular matrix with more columns than rows, find a base of linear combinations of the ro...
Nonnegative Matrix Factorization (NMF) is a standard tool for data analysis. An important variant i...
Transformations of sparse linear systems by row-column permutations are considered and various algor...
AbstractIn the factorization A = QR of a sparse matrix A, the orthogonal matrix Q can be represented...
In QR factorization of a sparse m{times}n matrix A (m {ge} n) the orthogonal factor Q is often store...
AbstractIn the factorization A = QR of a sparse matrix A, the orthogonal matrix Q can be represented...
AbstractThe problem of correctly predicting the structures of the orthogonal factors Q and R from th...
AbstractConsider the problem of sparsifying a rectangular matrix with more columns than rows. This m...
The excellent research in the area of sparse derivative matrix determination over the last three dec...
AbstractWe describe how to maintain the triangular factor of a sparse QR factorization when columns ...
AbstractThe sparsity of orthogonal matrices which have k⩾1 columns of nonzeros is studied. It is sho...
Sparse matrix factorization is the problem of approximating a matrix $\mathbf{Z}$ by a product of $J...
Abstra t. We present algorithms to determine the number of nonzeros in ea h row and olumn of the fa...
AbstractIn an earlier paper we introduced the classes of polynomial and rank structures, both of the...
AbstractThe least number of nonzero entries among thembynconnected, row-orthogonal matrices is deter...
Given a rectangular matrix with more columns than rows, find a base of linear combinations of the ro...
Nonnegative Matrix Factorization (NMF) is a standard tool for data analysis. An important variant i...
Transformations of sparse linear systems by row-column permutations are considered and various algor...