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Sparse matrix

Known as: Dense matrix, Sparse vector, Sparsity 
In numerical analysis, a sparse matrix is a matrix in which most of the elements are zero. By contrast, if most of the elements are nonzero, then the… Expand
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to… Expand
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Highly Cited
2010
Highly Cited
2010
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine… Expand
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Highly Cited
2009
Highly Cited
2009
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform… Expand
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Highly Cited
2008
Highly Cited
2008
The massive parallelism of graphics processing units (GPUs) oers tremendous performance in many high-performance computing… Expand
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Highly Cited
2005
Highly Cited
2005
Many computer graphics applications require high-intensity numerical simulation. We show that such computations can be performed… Expand
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Highly Cited
2004
Highly Cited
2004
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non… Expand
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Highly Cited
2003
Highly Cited
2003
Preface 1. Background in linear algebra 2. Discretization of partial differential equations 3. Sparse matrices 4. Basic iterative… Expand
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Highly Cited
2000
Highly Cited
2000
A class of matrices (H-matrices) is introduced which have the following properties. (i) They are sparse in the sense that only… Expand
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Highly Cited
1994
Highly Cited
1994
We describe the University of Florida Sparse Matrix Collection, a large and actively growing set of sparse matrices that arise in… Expand
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Highly Cited
1973
Highly Cited
1973
The problem ofcomputing a small vertex separator in a graph arises in the context ofcomputing a good ordering for the parallel… Expand
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