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» Fraction-Free RNS Algorithms for Solving Linear Systems
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STOC
2007
ACM
128views Algorithms» more  STOC 2007»
14 years 8 months ago
Iteratively constructing preconditioners via the conjugate gradient method
We consider the problem of solving a symmetric, positive definite system of linear equations. The most well-known and widely-used method for solving such systems is the preconditi...
John Dunagan, Nicholas J. A. Harvey
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
14 years 2 months ago
Less conservative robust control of constrained linear systems with bounded disturbances
— This paper develops a novel robust control method for linear systems subject to additive and bounded disturbances. The approach is based on constraint tightening method. The pr...
Reza Ghaemi, Jing Sun, Ilya V. Kolmanovsky
CHES
2005
Springer
155views Cryptology» more  CHES 2005»
14 years 1 months ago
Scalable Hardware for Sparse Systems of Linear Equations, with Applications to Integer Factorization
Motivated by the goal of factoring large integers using the Number Field Sieve, several special-purpose hardware designs have been recently proposed for solving large sparse system...
Willi Geiselmann, Adi Shamir, Rainer Steinwandt, E...
ICMCS
2009
IEEE
171views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Optimal joint linear acoustic echo cancelation and blind source separation in the presence of loudspeaker nonlinearity
Acoustic echoes represent a major source of discomfort in hands free, full-duplex, communication systems. The problem becomes particularly difficult when the loudspeakers are nonl...
Mehrez Souden, Zicheng Liu
ICML
2009
IEEE
14 years 8 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger