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120
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NAA
2000
Springer
125views Mathematics» more  NAA 2000»
15 years 4 months ago
Matrix Computations Using Quasirandom Sequences
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...
Michael Mascagni, Aneta Karaivanova
122
Voted
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
16 years 17 days ago
Approximate Confidence Computation in Probabilistic Databases
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...
Dan Olteanu, Jiewen Huang, Christoph Koch
EUROPAR
2009
Springer
15 years 5 months ago
Two-Dimensional Matrix Partitioning for Parallel Computing on Heterogeneous Processors Based on Their Functional Performance Mod
Abstract. The functional performance model (FPM) of heterogeneous processors has proven to be more realistic than the traditional models because it integrates many important featur...
Alexey L. Lastovetsky, Ravi Reddy
68
Voted
CORR
2006
Springer
94views Education» more  CORR 2006»
15 years 26 days ago
Computing spectral sequences
John McCleary insisted in his interesting textbook entitled "User's guide to spectral sequences" on the fact that the tool "spectral sequence" is not in t...
Ana Romero, Julio Rubio, Francis Sergeraert
124
Voted
FGCS
2008
127views more  FGCS 2008»
15 years 27 days ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...