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» Fast matrix rank algorithms and applications
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STOC
2012
ACM
203views Algorithms» more  STOC 2012»
12 years 1 days ago
Fast matrix rank algorithms and applications
Ho Yee Cheung, Tsz Chiu Kwok, Lap Chi Lau
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
13 years 13 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
NA
2010
117views more  NA 2010»
13 years 8 months ago
A fast solver for linear systems with displacement structure
We describe a fast solver for linear systems with reconstructible Cauchylike structure, which requires O(rn2 ) floating point operations and O(rn) memory locations, where n is th...
Antonio Arico, Giuseppe Rodriguez
APPROX
2006
Springer
179views Algorithms» more  APPROX 2006»
14 years 1 months ago
Adaptive Sampling and Fast Low-Rank Matrix Approximation
We prove that any real matrix A contains a subset of at most 4k/ + 2k log(k + 1) rows whose span "contains" a matrix of rank at most k with error only (1 + ) times the er...
Amit Deshpande, Santosh Vempala
CDC
2009
IEEE
285views Control Systems» more  CDC 2009»
13 years 7 months ago
Adaptive randomized algorithm for finding eigenvector of stochastic matrix with application to PageRank
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...
Alexander V. Nazin, Boris T. Polyak