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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… 
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Papers overview

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Highly Cited
2015
Highly Cited
2015
We introduce Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive… 
Highly Cited
2011
Highly Cited
2011
We describe the University of Florida Sparse Matrix Collection, a large and actively growing set of sparse matrices that arise in… 
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… 
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… 
Highly Cited
2009
Highly Cited
2009
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform… 
Highly Cited
2008
Highly Cited
2008
The massive parallelism of graphics processing units (GPUs) oers tremendous performance in many high-performance computing… 
Highly Cited
2007
Highly Cited
2007
We are witnessing a dramatic change in computer architecture due to the multicore paradigm shift, as every electronic device from… 
Review
2005
Review
2005
The Optimized Sparse Kernel Interface (OSKI) is a collection of low-level primitives that provide automatically tuned… 
Highly Cited
2004
Highly Cited
2004
  • P. Hoyer
  • J. Mach. Learn. Res.
  • 2004
  • Corpus ID: 12009862
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non… 
Highly Cited
1999
Highly Cited
1999
A class of matrices (H-matrices) is introduced which have the following properties. (i) They are sparse in the sense that only…