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» Fast matrix rank algorithms and applications
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STOC
2012
ACM
203views Algorithms» more  STOC 2012»
11 years 7 months 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»
12 years 7 months 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 3 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»
13 years 8 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 2 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