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» Sparse Matrices in Matlab*P: Design and Implementation
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DATESO
2004
165views Database» more  DATESO 2004»
13 years 6 months ago
Multi-dimensional Sparse Matrix Storage
Large sparse matrices play important role in many modern information retrieval methods. These methods, such as clustering, latent semantic indexing, performs huge number of computa...
Jiri Dvorský, Michal Krátký
AC
2008
Springer
13 years 5 months ago
Distributed Sparse Matrices for Very High Level Languages
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
John R. Gilbert, Steve Reinhardt, Viral Shah
SIAMNUM
2011
139views more  SIAMNUM 2011»
12 years 12 months ago
Adaptive Wavelet Schemes for Parabolic Problems: Sparse Matrices and Numerical Results
A simultaneous space-time variational formulation of a parabolic evolution problem is solved with an adaptive wavelet method. This method is shown to converge with the best possibl...
Nabi Chegini, Rob Stevenson
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
12 years 7 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos