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» On Wiedemann's Method of Solving Sparse Linear Systems
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ICCV
2007
IEEE
14 years 11 months ago
DynamicBoost: Boosting Time Series Generated by Dynamical Systems
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
René Vidal, Paolo Favaro
PRDC
2007
IEEE
14 years 3 months ago
An Automatic Real-Time Analysis of the Time to Reach Consensus
Consensus is one of the most fundamental problems in fault-tolerant distributed computing. This paper proposes a mechanical method for analyzing the condition that allows one to s...
Tatsuhiro Tsuchiya, André Schiper
ATAL
2007
Springer
14 years 3 months ago
A complete distributed constraint optimization method for non-traditional pseudotree arrangements
Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multi-agent systems. Several current algorithms that solve general DCOP instan...
James Atlas, Keith Decker
SIAMSC
2010
114views more  SIAMSC 2010»
13 years 7 months ago
Smoothed Aggregation Multigrid for Markov Chains
Abstract. A smoothed aggregation multigrid method is presented for the numerical calculation of the stationary probability vector of an irreducible sparse Markov chain. It is shown...
Hans De Sterck, Thomas A. Manteuffel, Stephen F. M...
EUROPAR
2011
Springer
12 years 8 months ago
A Bit-Compatible Parallelization for ILU(k) Preconditioning
Abstract. ILU(k) is a commonly used preconditioner for iterative linear solvers for sparse, non-symmetric systems. It is often preferred for the sake of its stability. We present T...
Xin Dong 0004, Gene Cooperman