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PCI
2001
Springer
13 years 9 months ago
An Experimental Evaluation of a Monte-Carlo Algorithm for Singular Value Decomposition
We demonstrate that an algorithm proposed by Drineas et. al. in [7] to approximate the singular vectors/values of a matrix A, is not only of theoretical interest but also a fast, v...
Petros Drineas, Eleni Drinea, Patrick S. Huggins
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
STOC
2001
ACM
138views Algorithms» more  STOC 2001»
14 years 5 months ago
Fast computation of low rank matrix
Given a matrix A, it is often desirable to find a good approximation to A that has low rank. We introduce a simple technique for accelerating the computation of such approximation...
Dimitris Achlioptas, Frank McSherry
JCC
2006
110views more  JCC 2006»
13 years 4 months ago
Using internal and collective variables in Monte Carlo simulations of nucleic acid structures: Chain breakage/closure algorithm
: This article describes a method for solving the geometric closure problem for simplified models of nucleic acid structures by using the constant bond lengths approximation. The r...
Heinz Sklenar, Daniel Wüstner, Remo Rohs