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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

Semantic Scholar uses AI to extract papers important to this topic.
Review
2013
Review
2013
Welcome to this special section on Twitter and Microblogging Services, which features five articles on different aspects of… 
Highly Cited
2012
Highly Cited
2012
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target… 
Highly Cited
2011
Highly Cited
2011
In this paper, we propose a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. It is based on a… 
Highly Cited
2006
Highly Cited
2006
For an unweighted undirected graph G = (V,E), and a pair of positive integers α ≥ 1, β ≥ 0, a subgraph G′ = (V,H), H ⊂eqE, is… 
Highly Cited
2004
Highly Cited
2004
Bioassays were used to provide estimates of both the distribution and abundance of mycorrhizal fungus propagules in soils from… 
Highly Cited
1999
Highly Cited
1999
A method is presented for adaptively solving hyperbolic PDEs. The method is based on an interpolating wavelet transform using… 
Highly Cited
1992
Highly Cited
1992
In this paper, we discuss an SLCP algorithm for the solution of Bilevel Linear Programs (BLP) which consists of solving a… 
Highly Cited
1992
Highly Cited
1992
An algorithm that was designed for the data typically found in reservoir simulation and structural analysis is presented… 
Highly Cited
1981
Highly Cited
1981
F region east-west drifts have been measured at Jicamarca for almost 10 years, using incoherent scatter. The drifts are westward… 
Highly Cited
1970
Highly Cited
1970
An efficient implementation of the Crout elimination method in solving large sparse systems of linear algebraic equations of…